Application Atlas
Edge AI and IoT Solutions
V1.1 Agora Solutions
Our Mission At Agora, we have embarked on a mission to digitize field operations by deploying edge AI solutions to improve productivity and sustainability
The oil and gas industry has been a driving force for the growth of humankind over several decades but immense pressure on gaining efficiency and operating at low cost has forced the industry to use digital technologies to transform itself.
To improve productivity and sustainability in oil and gas, the emergence of edge AI and Industrial Internet of Things (IIoT) technology are defining the next wave of digital transformation. With these innovative new technologies, we can gather more data types, in addition to the sensor-generated information (i.e. video, images, audio), to derive intelligence from a variety of data, while also enabling the ability to act in real time.
At Agora, we created an intelligent computing layer around legacy equipment on the operational site itself using AI, data, and domain science. By utilizing these distributed intelligent oilfield sites, we are addressing challenges associated with IIoT and centralized computing systems in the cloud. In another words, we are converting oilfield equipment into intelligent things. These intelligent things—which could be a pump, a compressor, or production system; are connected to a cloud services for orchestration—thus providing a true Internet of Intelligent Things (IoIT).
We believe that, Internet of Intelligent Things also synonymous with Intelligent Asset Solution or Artificial Intelligence of Things, will drive the much-needed productivity gains and will reduce the greenhouse gases emissions and footprints in field operations.
2 V1.1 Agora Solutions
DYNAMIC INTELLIGENCE AT THE EDGE
Safety & Sustainability...... 4
DigiVision–Agora...... 5
Case study: Remote visual analytics reduces HSE exposure...... 6
Flare Monitoring–FogHorn...... 7
Pipeline Monitoring–Rheidiant...... 8
Methane Leak Detection–Viper...... 9
Completions & Production Operations...... 10
Rod Lift Advisor–Agora...... 11
Case study: Remote monitoring and control...... 12
Rod Lift Production Optimization–Ambyint...... 13
Case study: Ambyint increases production by 6% in the Bakken...... 14
Case study: Ambyint reduces rod strokes by 17% in Eagle Ford...... 15
Case study: Ambyint reduces GHG emissions by 13% on rod lift wells...... 16
AiRP Ai Response Prioritization for ESPs–Sensia...... 17
Automated ESP Gas Handling–Sensia...... 18
Case study: Automated ESP gas-handling system increases production...... 19
Plunger Control and Optimization–Lavoro...... 20
Case study: Lavoro Plunger increases production and lifetime of wells...... 21
Case study: Lavoro helped EOR operator optimize injection well efficiency...... 22
Completions Vision–Agora...... 23
Autonomous Setpoint Optimization–Agora...... 24
Case study: AI increases production 10% and manual interventions 80%...... 25
ProdOps Tuned Production Operations Solution–Schlumberger...... 26
MPFM Advisor–Agora...... 28
Case study: Remote production optimization for multiphase flowmeters...... 29
Electrostatic Oil Treater Performance–Schlumberger...... 30
Case study: Proactive diagnosis saves processing facility millions...... 31
Compressor Monitoring–FogHorn...... 32
SparkPredict–SparkCognition...... 33
Case study: Improving offshore production with AI based analytics...... 34
Edge Analytics–Crosser...... 36
Cybersecurity...... 37
Identity and Access Management–Xage...... 38
Active Cyber Risk Management–Prismo...... 39
3 V1.1 Agora Solutions
Safety & Sustainability Agora deploys edge and cloud solutions to enable remote operations, increase wellsite safety, and reduce carbon footprint.
4 V1.1 DigiVision
Enable real-time vision with an Internet of Eyes approach
igiVision is a rang o solutions un r t nt rn t o s ort olio o s r i s. igiVision na l s r al ti Challenges ision o is onn t aging an r ot in rastru tur . onn ting t Agora g gat a to an ig S ris u to anual ata g o r a ra r al ti onitoring o analog gaug s is a ossi l t r o l t l oll tion li inating an u an sur illan . n r u nt ata not allo ing or igiVision solution is as on a si st nt rn t o s or lo t at is as on lo ing a o ut r ui nt o ti i ation ison V algorit on t Agora at a . or lo is it rati an t algorit is u at r ot l Aging a ilit in a l ting i l li iting r t Air A as n in or ation is a . usto r a ilit to s n a Internet of Eyes workflow or lo starts i nti ing l nts o t lo nt an a s t o rul s to g n rat tions Edge Solution ar r at . An initial on iguration or lo nt is r at an t a ro riat V algorit is s l t . a ra su orting V roto ol is o l is t n lo on t Agora at a as a ontain ri a li ation. n lo t onn t to t Agora at a algorit is t st r on iling al rts it a tual ata a tur t a ra. n t a ro riat igiVision a li ation is lo or on i n l l is a i tions an al rt rul s ar inali . r al ti in r n ing Agora Platform Agora is an o n s ur an s ala l lat or i na l s oil an gas in ustr to onn t si al Benefits ass ts to t igital orl . o rators a onstant all ng s o oosing t a ro riat o ro i r r anual tas s out o an t at ar o ing ro arious in ustri s. Agora is sol ing t is all ng or ing it ulti l 1 r u tion in laring u to ui nt o auto ation an instru ntation o ani s as ll as a li ation ro i rs in or r to r at t o ti i ation igg st os st o oil an gas s i i a li ations in t Agora ar t la . r u tion in u to a aila ilit o r al ti ata.
Information on AgoraTM and AgoraSM can be found at www.AgoraIoT.com [email protected] | www.AgoraIoT.com Case study: Visual Analytics Location: Offshore Asia
Remote Visual Analytics Reduces HSE Exposure and Improves Production Surveillance and Optimization Digitizing analog gauges for continuous remote visualization of aging assets enables data-driven decision making An operator combined cameras with machine learning enabled by the AgoraGateway to significantly reduce HSE exposure and opex. The operator’s goal An operator wanted to reduce HSE exposure of technicians who travel to a remote rig for manual data acquisition of analog gauges. There wasn’t a distributed control system on the rig, resulting in inefficient process surveillance for immediate intervention and optimization. Because of the manual process to collect the gauge data, there was a lack of continuous processing of the variable data, so troubleshooting and optimization were limited. What Agora provided Agora deployed cameras, connected to the AgoraGateway, to enable real-time visualization of analog gauge data on the A camera is positioned rig. The cameras were positioned facing facing the analog gauge, the multiple analog gauges to enable providing a continuous reading the production on the rig. Agora feed to the AgoraGateway then applied a machine learning algorithm running a machine learning to digitize the analog gauge information algorithm to digitize the data into a real-time dashboard to process the in real time. continuous stream of variable data. What was achieved The solution delivered a remote interface that immediately improved production surveillance. The continuous processing of high-frequency data enabled new optimization workflows with fewer trips to the remote rigs for surveillance. This greatly reduced HSE exposure while lowering opex.
Agora and AgoraGateway are marks of Schlumberger. Other company, product, and service names are the properties of their respective owners. Copyright © 2020 Schlumberger. All rights reserved. agoraiot.com Automated Flare Stack Monitoring
For Environmental Compliance, Improved Safety, and Reduced Maintenance Costs
In Partnership with:
lar sta s ar o onl us in an in ustri s to sa l urn o ar ul ast gas s an ro u ts Challenges as o rators anag lant sa t an i i n i s. il an gas r in ri s an rilling o rations ar t ost anual onitoring o a larg nu r o o on ut i al ro ssing gas istri ution an ast is osal o ani s ar also us rs o lar lar sta s sta s. All o t s in ustri s a t all ng o ini i ing ar ul issions o l ing it r gulations i it o uni ations an o ut an anaging t ig ost o anual onitoring an aint nan . r sour s FogHorn Lightning™ Edge Flare Monitoring Solution nsur o lian it n iron ntal an r gulator ag n i s og orn ig tning lar onitoring Solution as lo a t r ars o ri n or ing it so o u larg s n on aint nan an t larg st oil an gas ro u rs. solution ro ss s li i o str a s o lar s in arious on itions o lian a nig t or l ar lou s i s to ro i r al ti insig ts. tri s in lu t si o t lar s o to lar ratio an lar angl o ring o rators to a r al ti isions. or so isti at tri s Edge Solution r lat to gas olu i al o osition an usin ss i a t ill o ing soon. og orn ig tning g install on lar onitoring solution ontains r train l arning algorit s lo lusi l or lar s. Agora g o lat or s algorit s an urt r usto i an r in or a lo nt sit using a si l gra i al al ti au io an i o anal sis o us r int r a . lar s il n insig ts ar gain anal ing li i o og orn s lar onitoring solution na l t on olutional n ural n t or or Agora g o lat or ta s t at a st urt r it s nsor usion t nolog . og orn an ro ss l arning ulti l i o str a it au io an i ration ata at t g using t Agora at a . is olisti i as to us or o l r training an o g o rations a s r iousl uns n nuan s o o rations isi l an an us to ontinuousl usto i ation i nti issu s su as o r ssor alt or in i at ot ntial n iron ntal iolations. Benefits Agora Platform la u an onitoring it Agora is an o n s ur an s ala l lat or i na l s oil an gas in ustr to onn t si al auto ation ass ts to t igital orl . o rators a onstant all ng s o oosing t a ro riat o ro i r o r o n an aint nan osts out o an t at ar o ing ro arious in ustri s. Agora is sol ing t is all ng or ing it ulti l roa o lian onitoring a a iliti s o auto ation an instru ntation o ani s as ll as a li ation ro i rs in or r to r at t ro sa t igg st os st o oil an gas s i i a li ations in t Agora ar t la .
Information on AgoraTM and AgoraSM can be found at www.AgoraIoT.com [email protected] | www.AgoraIoT.com Pipeline Monitoring
Leak detection and integrity management system for liquid and gas pipelines
In Partnership with:
t ting loss o int grit in r al ti is ss ntial in sa o rations o a ar ous i lin s a ross t Challenges o rator s n t or . n to i l nt s art i lin onitoring s st to i nti s all un t ta l ra itional int rnal onitoring solutions l a s on isting aging ass ts as o i rati no as t sa t o i lin s is o ara ount r uir t nsi a o n itur i ortan in nsuring ontinu o ration an ro ita ilit . r ntion o l a s or t turn into larg an onl t t larg l a s n iron ntal s ills a sa o rators ro in urring r gulator ons u n s along it ug r utation n a s all in ol l a an in ti an on tar loss s. il t o rational goal o r l a t tion s st s ar si ilar onl t rnal turn into a ang rous an ostl ru tur s st s using o s nsors g anal ti s an lou o uting t nologi s an ti l us to arg i lin s n to onitor on a t t n t s all st l a s in r ot ar as at lo o rati ost. r al ti asis Rhediant’s Smart Sign Sensor™ and SecureWave IIOT™ s st is lo in t i l it out r uiring a ation or ir t onta t it t i . iant s Edge Solution int grat solutions in lu s S art Sign S nsors ar lo lo groun to a uir a ousti out ut asil lo a l non onta t s nsors on ro i lin . s s nsors uni rsal ir l ss no s t at o uni at s it our Agora at a s n an isting i lin s it u to 1 il s o u lin an o nlin rang na ling r al ti onitoring o li ui an or gas i lin s S st s nsiti to l a s too s all or it a straig t or ar i l ntation. on aggr gation ata is a aila l or anal sis at t Agora int rnal l a t tion s st s at a using iant s S ur a t at na l s ano al an l a t tion tr n isuali ation urn onitoring as a s r i an r al ti orr ti a tions. S st o rat s in n ntl i sir isolat ro S A A s st s As a r sult iant solution o r Agora an t t a i rang o l a s. i r n in ti o arri al o a ousti a s on ulti l s nsor allo s or l a lo ali ation at t g trigg ring t a ro riat an usto i a l alar s st s. it s n roni a tur on t o s nsors t lo ation o t Benefits l a an a tur it in t. us u on t tion orr ti a tion an o t n ta n it out a s it i rang o si s ar s on ar sur ing. su ss ull t t Agora Platform o ation o t l a an a tur it in t Agora is an o n s ur an s ala l lat or i na l s oil an gas in ustr to onn t si al n r as ro u tion an r nu il ass ts to t igital orl . o rators a onstant all ng s o oosing t a ro riat o ro i r out o an t at ar o ing ro arious in ustri s. Agora is sol ing t is all ng or ing it ulti l nsuring n iron ntal an r gulator o auto ation an instru ntation o ani s as ll as a li ation ro i rs in or r to r at t o lian igg st os st o oil an gas s i i a li ations in t Agora ar t la .
Information on AgoraTM and AgoraSM can be found at www.AgoraIoT.com [email protected] | www.AgoraIoT.com Methane Leak Detection
Identify and quantify gas leaks quickly, accurately, and safely
In Partnership with:
t an l a s an ugiti issions an o ur as a r sult o aging ass ts orrosion ani al ailur Challenges an ot r a tors. roa ti l s ot l a s ui l an ro a sa istan it Vi r solutions utili ing o long r ust a out o lian l a o ti al gas i aging t nolog . t tion an r air r r s nt o ortuniti s
il un t ta l to t na l a s an issions ar l arl isi l it o ti al gas i aging. or ro u t sa ings gr at r or r sa t Vi r s st s utili a ras an int grat Vi r ti so t ar to t t an uanti un r s o an i ro t sting a ura in ustrial gas s. Vi r ti o rs ulti l a a iliti s ro a singl so t ar lat or . o r issions ar o ortuniti s or r nu i i n i s Gas Detection, Quantification, and Concentration nt grat it t Agora at a Vi r aging s st solutions ro i r lia l t tion it lo als Edge Solution alar rat s an ro s ass lo rat . Vi r s o i s orta l i a ras gas sni rs t an las r an Fixed Monitoring Systems: ontinuous onitoring ro i s i iat noti i ation o a t an gas Vi rVantag l a . Vi r s st s running on t Agora lat or an onstantl onitor ital gas i lin s an onn ti it a aila l ia Agora at a installations in r ot ar as or on s it i i ult a ssi ilit . n or oration o a t an as r ill o uni ation o roto ols an t uanti i ation a a iliti s. Visuali ation ia t Agora lat or Portable Detectors: using a orta l sni r an or an l t r al i ag rs t at ontain s ial ilt rs. s i s ar a l to s t an ot r in ustrial gas s an o uni at t orr s on ing alar s Benefits an al rts using t Agora lat or . ro sa t or lant rsonn l u ugiti issions Agora Platform ui r an or t oroug ins tion Agora is an o n s ur an s ala l lat or i na l s oil an gas in ustr to onn t si al u ris to lant rsonn l an ass ts to t igital orl . o rators a onstant all ng s o oosing t a ro riat o ro i r ui nt out o an t at ar o ing ro arious in ustri s. Agora is sol ing t is all ng or ing it ulti l t t olor an uanti t ass lo o auto ation an instru ntation o ani s as ll as a li ation ro i rs in or r to r at t rat o l a igg st os st o oil an gas s i i a li ations in t Agora ar t la . lia l s st ro i s arl i nti i ation o ro l ar as n r as r nu it onsist nt ro u tion ro o lian it n iron ntal r gulations
Information on AgoraTM and AgoraSM can be found at www.AgoraIoT.com [email protected] | www.AgoraIoT.com Agora Solutions
Completions & Production Operations Enhance your completions and production operations with real-time dynamic edge intelligence to continually and sustainably optimize wellsite performance.
10 V1.1 Rod Lift Advisor
Rod Lift Advisor
Dynamic, autonomous edge intelligence for rod lift operations
oa osition S nsors
Rod Lift Advisor
Agora ata ata ot ontrol ontrol u o g ot llular ontroll r
o rall ti n ss o ro li t o rations an li it arious a tors t at a r sult in rr Challenges ro u tion or ot r o rational i i n i s. urt r or ro li t lls a o t n n anag r a ti l rr ro u tion r sulting in iss o ortuniti s to a i i ro u tion. il in r as a ss to ri ata a s alu rational in i i n t r is no ir t i a t on t ort r uir to ta roa ti asur s to ull o ti i ro li t o rations. anual int r ntion o i t A isor a li ation li rs a st ang in ro u tion o ti i ation utili ing g o ut i it ata an anal sis ing to na l anal sis o na ar s an o rating on itions. a s a in l arning algorit s li r na i int llig n ontinuousl anal ing u a ior. As a r sult o rators an in r as u run li an r u an ti t n ailur s il also ini i ing rr ro u tion. Edge Solution a na l s o rators to r or orr ti a tions it r autono ousl or ia r ot ontrol. al ti u iagnosti s rol as s art alar s an noti i ations nsur t at ro u tion t a s a a ss t roug t s to A an anal ti s or o il int r a to a tiona l int llig n t at an us to str a lin o rational i i n . ontrol an auto ation Agora Platform o ilit an olla oration Agora is an o n s ur an s ala l lat or i na l s oil an gas in ustr to onn t si al Benefits ass ts to t igital orl . o rators a onstant all ng s o oosing t a ro riat o ro i r ro u tion o ti i ation out o an t at ar o ing ro arious in ustri s. Agora is sol ing t is all ng or ing it ulti l u u ailur rat o auto ation an instru ntation o ani s as ll as a li ation ro i rs in or r to r at t n an o rational i i n igg st os st o oil an gas s i i a li ations in t Agora ar t la . ini i S osur
Information on AgoraTM and AgoraSM can be found at www.AgoraIoT.com [email protected] | www.AgoraIoT.com Case study: Artificial Lift Location: India
Remote Monitoring and Control of Rod Pump Wells Increases Operational Efficiency and Production Cairn utilizes edge computing intelligence and machine learning via Rod Lift Advisor to reduce downtime by immediately reacting to anomalies that trigger smart alerts Cairn Oil & Gas, Vedanta Ltd. operates the majority of its satellite field wells with rod pumps and needs to regularly ~15 h for field team to alert the monitor the wells to reduce downtime. petroleum engineer These satellite wells were not digitally enabled for continuous monitoring and management of the rod pumps, and the lack of data availability resulted in Initial downtime and production loss. anomaly
What Cairn tried first Cairn hired a third-party crew for maintenance and daily data monitoring for the satellite field and to deliver the rod pump data to the petroleum engineer. The third-party crew traveled over 50 km daily The data from the event on May 10, 2020, showing the existing monitoring scenario when the smart alerting feature was not in place and it took the operator 60 h to revive the well. and still wasn’t able to cover all the wells every day. Despite rigorous data collection by the third-party crew, only discrete data ~6 h to bring the well back to production was available, which was insufficient for rod pump optimization, and all decisions were Immediate smart alert from Rod Lift Advisor solution made based on the discrete data points.
What Agora recommended To meet the challenges of continuous Initial monitoring and optimizing the wells, anomaly Agora recommended the Rod Lift Advisor solution on its open and secure platform. The solution runs a machine learning algorithm at the edge to classify dynacards and enable smart alerts that proactively notify users if anomalies are found when monitoring data. Rod Lift Advisor also The data from the May 25, 2020, event where the Rod Lift Advisor smart alerts detected the event immediately and enabled the user to apply corrective action to revive the well in 6 h. enables remote control of the rod pumps from anywhere. anomalies in the pumping operation and send smart alerts to designated users via e-mail. What was achieved This process enabled a single petroleum engineer to have a 24/7 view of the pump’s health Using the Rod Lift Advisor solution, Cairn and instead of spending their time in collecting, cleaning, and analyzing the data, they leveraged the machine learning capabilities could directly implement corrective actions to optimize production. to feed a minute-by-minute dynamometer card of the pump through a deep-learning Cairn was able to reduce anomaly downtime up to 70% for the Agora-connected wells. model to classify the status of the rod Because of the inherent flexible nature of the Agora platform, the operator can keep pumps in the field. Based on previous building upon the intelligent algorithms as additional anomalies arise. This gives operators production data, Agora developed and the ability to scale the solution and to have confidence to optimize the operation of their implemented an algorithm to detect remote fields.
Agora and AgoraGateway are marks of Schlumberger. Other company, product, and service names are the properties of their respective owners. Copyright © 2020 Schlumberger. All rights reserved. agoraiot.com Rod Lift Optimization and Analytics
Increase production, lower operating costs, and reduce failures
In Partnership with:
in t r nt o ro li t lls ar un ro ti i it t i all o r u ing an 1 t i all Challenges un r u ing. rations t a s l rag tra itional tools an ro ss s to anag ro li t lls ut t r sult o ro li t lls ar un ro ti i is t at ro u tion t a s o us ri aril on ig ting ir s an t i all a ti to o us on onl lls rations t a s a li it ti to on an gi n a . is l a s t ast a orit o lls unatt n ail an ons u ntl un ro ti i . onitor lls on a ail l ont l Ambyint InfinityRL™ Rod Lift Optimization asis rational an iagnosti or lo s ar A int lo s a an si s o ls su t att r rtis an arti i ial int llig n A to a il anual na l o ti i ation at s al . n init anal s an o ti i s an ntir i l o ro li t lls ours r ailur rat s an aint nan osts ar a a s r ar. n r sult is ro u tion in r as s as ig as o rating ost r u tions u to too ig ating into argins ailur rat r as s u to an o rational i i n gains o at l ast .
A int n init a uir s o rational ata ro t Agora gat a aluating all na o t r ar s li t Edge Solution s st ata an ro u tion str a s or o n lls ro u tion at ris an u li t o ortuniti s. n init A int n init install on Agora in lu s t ollo ing a a iliti s g o lat or al ti anal sis o no ar s li t Asset Management an a an si s ngin ro i s a or a urat o l o t ll or gi ing s st ata an ro u tion ata ngin rs gr at r isi ilit into t o ti i ation stat o t ll si s as A g n rat s o ti al Setpoint Management: si s as A lassi i s ll o ti i ation stat s an t r in s o ti al s t oint r o n ations i l nt s t oints r ing ngin ring an o rations ti or ot r ig alu tas s anuall or ull auto at r i t aint nan an r lia ilit nts Predictive Maintenance: A anal s o rations ata no ar ata an ro u tion ata in ing ia a in l arning as na ar ano ali s su as ol in tu ing ro art la tra ling al stu u s aling ail sur illan r ognition routin s in r asing an r u ing rr r nu . Agora Platform Benefits n r as ro u tion olu s u to Agora is an o n s ur an s ala l lat or i na l s oil an gas in ustr to onn t si al u o rating osts u to ass ts to t igital orl . o rators a onstant all ng s o oosing t a ro riat o ro i r o r ailur rat s u to out o an t at ar o ing ro arious in ustri s. Agora is sol ing t is all ng or ing it ulti l n r as t ngin r i i n at o auto ation an instru ntation o ani s as ll as a li ation ro i rs in or r to r at t l ast igg st os st o oil an gas s i i a li ations in t Agora ar t la .
Information on AgoraTM and AgoraSM can be found at www.AgoraIoT.com [email protected] | www.AgoraIoT.com CASE STUDY
Ambyint increases production by 6% in the Bakken
SITUATION SOLUTION Operational Scale Ambyint InfinityRL™ A significant percentage of Equinor’s wells Ambyint’s production optimization solution for were under pumping driving excess deferred rod lift was deployed across the Equinor Bakken revenue, and the majority of wells were over- asset. Having established communications, pumping causing shorter run times. To gain InfinityRL gave production engineers immediate optimization scale across its wells, the compa- access to well performance data spotlighting ny evaluated vendors for the following opera- intervention needs and optimization opportuni- tional capabilities: ties. ☐ Real-time operational visibility After gaining confidence in Ambyint’s AI-driven ☐ Anomaly detection and remote control setpoint recommendations over an initial period, ☐ Pump-by-exception management Equinor allowed InfinityRL to update setpoints ☐ Optimization recommendations and automatically and ensure an ongoing, full-field automation optimization state.
TESTIMONIAL RESULTS In addition to an increase in production visibility The Ambyint technology has improved the and operational efficiency, Ambyint provided: ”remote data visibility and has delivered a Production volumes more accurate diagnostic of downhole condi- 6% tions to our rod pump wells in the Bakken. ” Stroke reduction and Jack Freeman, Production Engineer 11% failure rate 14% Pump efficiency 7% Pump fillage
1(800) 205-1311 • 2500 SUMMER STREET, SUITE 1100, HOUSTON TEXAS 77007 • AMBYINT.COM TM Ambyint 17% Eagle Ford
CASE STUDY
Ambyint reduces rod strokes by 17% in Eagle Ford
SITUATION SOLUTION Rod Lift Optimization Ambyint InfinityRL™ Two thirds of E&P company’s rod lift wells were Ambyint deployed its rod lift optimization solu- overpumping causing higher failure rates and tion across E&P company’s Eagle Ford asset es- excessive electricity costs. The company had tablishing connectivity at remote well locations, more wells than operations staff to focus on providing high resolution dynometer cards, daily optimization needs, which led to a search delivering AI-based setpoint recommendations, for technology provider offering the following: and automating controller updates. ☐ Real-time operational visibility Engineers became more efficient avoiding ☐ Automated controller optimization time-consuming data gathering and analysis. With automated well optimization and greater ☐ Predictive maintenance span of control, engineers shifted focus to other ☐ Operational scale high value activities.
RESULTS Optimized production translated into less energy expended, lower costs, and increased revenue with operational team exerting greater management control over more wells on a daily basis. Production volumes 6% for underpumping wells 17% Strokes per minutes (SPM) 11% Power consumption
13% Emissions
1(800) 205-1311 • 2500 SUMMER STREET, SUITE 1100, HOUSTON TEXAS 77007 • AMBYINT.COM TM Ambyint 13% rod lift
CASE STUDY Ambyint reduces GHG emissions by 13% on rod lift wells
SITUATION SOLUTION Emissions Reduction Ambyint InfinityRL™ An E&P in Texas had a field of 200 rod lift wells that were Ambyint deployed its rod lift production optimization operating sub-optimally. The Operations team had insuf- solution into the field, establishing connectivity at ficient tools and time to analyze and optimize their wells remote well sites, enabling data-driven decisions with fully and consistently. Ambyint’s automated setpoint real-time performance data, delivering AI-based setpoint management functionality determined that over 65% of the recommendations, and automating controller setpoint wells were overpumping, leading to high electricity con- changes. sumption, high failure rates, and high operating costs. The high electricity consumption also causes excess green- Over a one-year deployment of the Ambyint technology, house gas (GHG) emissions, which if lowered would align approximately 1,400 automated setpoint changes were with the company’s corporate sustainability goals. Aiming implemented, allowing for closed-loop optimization for improved production optimization, the company evalu- of existing control systems. Engineers became more ated solution providers based on the following criteria: efficient and had time to focus on additional, high value activities. ☐ Greater operational ☐ Automated setpoint visibility management ☐ Predictive maintenance ☐ Field-wide scalability
RESULTS Production optimization solutions help E&Ps meet their sustainability and HSE objectives through reduced greenhouse gas emissions while also increasing production volumes and lowering operating costs.
13% Greenhouse Gas Emissions
1(800) 205-1311 • 2500 SUMMER STREET, SUITE 1100, HOUSTON TEXAS 77007 • AMBYINT.COM TM AiRP Ai Response Prioritization for ESPs
Address events in minutes rather than hours
In Partnership with:
T ES N Challenges A T S A R A R ES S A R T AI L A R I Edge Solution AiRP is bringing full lift autonomy within reach I A R S T A R A I A R Benefits Agora Platform A E II T A II T A
nformation on A ora and A ora can be found at A ora o com [email protected] | www.AgoraIoT.com Automated ESP Gas Handling
Innovative approach to produced gas minimizes downtime and deferred production
In Partnership with:
E S ES Challenges ES A ES R ES A A Edge Solution Edge AI and automated control for ESP well optimization E AI A I T A ES O ES T T I T ES Benefits Agora Platform S A E II T T A II T A
nformation on A ora and A ora can be found at A ora o com [email protected] | www.AgoraIoT.com Case study: Artificial Lift Location: South America
Automated ESP Gas-Handling System Expected to Increase Production 400,000 bbl a Year Innovative approach to handle produced gas in brownfield minimizes downtime and deferred production
Combining edge computing with automation enabled an operator to optimize their ESP performance and production in brownfields with a digital ESP gas-handling workflow. The operator’s concern The gas coming from ESP wells that produce from high-GOR reservoirs has devastating effects on well productivity and ESP run life. The operator’s workflow to handle the produced gas from these wells is personnel intensive and highly reactive. Wells that needed intervention could take days to weeks to get back to the standard producing behavior. A field technician would need to be sent to the field to manually bleed off the casing head pressure and leave the annular casing valve cracked- open until the next gas event occurs. What was recommended An automated ESP gas-handling system— including an AgoraGateway, wireless sensors, and a solar-powered skid with a flow computer and an automated choke valve to control the annular gas flow rate—was used to optimize the well and Fully automated, solar-powered skid ESP gas-handling system. ESP performance. What was achieved The AgoraGateway captures tubing head The AgoraGateway captures the gas rate measured by the flow computer and identifies pressure and casing head pressure from the correct opening of the casing annular valve based on well-flow simulation models, with the wireless sensors, gas flow rate from the the ability to incorporate a physics-based model using the ECLIPSE industry-reference skid, and ESP data, and then synchronizes reservoir simulator and data-driven estimation using machine learning. The AgoraGateway the parameters prior to transmitting the sends commands to the automated skid to adjust the casing valve, preventing production- data to the cloud. All this data is also halting gas-lock conditions. This iterative process results in proper ESP optimization in consumed by a well model installed in hours instead of days or weeks, with no manual intervention required. the AgoraGateway which accounts for By deploying the automated ESP gas-handling system to over 40 high-GOR wells, the the effect of the produced gas on ESP operator expects to gain 400,000 bbl/y (1,095 bbl/d more per well) and reduce 10,000 mi performance and autonomously sends of driving in harsh environments within the next year. It also eliminates the intervention commands to control the fully automated expense of sending a field technician to the field to investigate and remedy the persistent skid supplied by our partner, Sensia. gas-lock issues.
Agora and AgoraGateway are marks of Schlumberger. Other company, product, and service names are the properties of their respective owners. Copyright © 2020 Schlumberger. All rights reserved. agoraiot.com Plunger Control and Optimization
Enhancing lift performance, longevity, and improving production
In Partnership with:
Challenges O
L T OE Lavoro’s Plunger Control and Optimization Solution L I Edge Solution L RTU L A T L A L L U R Benefits Agora Platform O A I E II T A E II T A S L
nformation on A ora and A ora can be found at A ora o com [email protected] | www.AgoraIoT.com Case study: Artificial Lift Location: Barnett Shale
Lavoro Plunger Increases Production and Lifetime of Wells While Reducing Operating Costs Operator experienced a 6% increase in production and 3 months longer maintenance intervals
An operator in the Barnett region implemented Lavoro Plunger to increase production through optimization that was beyond the plunger manufacturer’s controller capability. To their surprise they also realized longer maintenance intervals as well. The operator’s concern In an aging field, the operator sought to increase high value production. They found less than optimal results with standard plunger controllers. In addition, they wanted a system that would readily share information enabling remote analytics and tuning.
What was recommended Lavoro’s Plunger application was used in auto mode to automatically optimize plunger performance. Plunger speeds Visualize and optimize plunger activity in real time, from anywhere and any device.. were optimized as well to minimize wear in lubricators and springs. All related What was achieved process variables and operating statuses Lavoro Plunger delivered a 6% increase in production through optimized plunger were sent from the edge to the cloud performance for the operator. The liquids decline curve flattened, and the decline curve for for remote visibility to performance the wells also slowed. On average, their optimized wells netted an additional two plunger and results. Additionally, the process runs per day compared to their attempts with timer-based control. variables and calculations were shared with the operator’s historian and made A side benefit was a reduction in maintenance costs for the wells. On average readily available to Power BI in facilities plunger spring life was extended more than 3 months over the timer-based control on engineering, enabling performance tuning. adjacent wells.
Agora is a mark of Schlumberger. Other company, product, and service names are the properties of their respective owners. Copyright © 2021 Schlumberger. All rights reserved. agoraiot.com Case study: Production Location: Permian Basin
Lavoro helped an EOR operation enhance data visibility, automate workflows and optimize injection well efficiency Operator reduced the latency of data critical to optimizing their gas lift from 48 hours to near real-time
An operator in the Permian Basin implemented Lavoro’s What Lavoro provided Foundation application bundle to quickly integrate with their Lavoro provided its Foundation application bundle that includes existing equipment, cost-effectively track thousands of a modern, scalable, affordable historian solution. The Lavoro tags, and timely produce a custom well injection report that Foundation bundle makes it easy to integrate, collect, historize, helps the operator optimize its production. As the company contextualize, and analyze operational data—then share those continues to embrace automation, it will use additional existing insights in near-real-time from the edge to the enterprise. With Lavoro capabilities to control the injection optimization in Lavoro Foundation, the customer replaced its outdated, inefficient real-time. solution with a practical, scalable edge cloud platform. REFPROP density and volume calculations are now performed automatically The operator’s challenges in the field. Cloud-hosted dashboards allow the team to visualize An independent oil and gas company with enhanced oil recovery all process variables in near-real-time, from any browser-enabled (EOR) operations inside the Permian Basin was using a historian device. To eliminate manual processes and delays, the critical to track thousands of data streams. But as the team’s operations report the operator needed to optimize its CO2 and water injection evolved and the historian got older, issues began to surface. wells is automatically produced. The historian was several versions behind, and its hardware was beginning to have issues. More importantly, the historian lacked What was achieved key capabilities that the team needed to enhance its operations— By replacing its outdated historian with Lavoro Foundation, the including a report used to optimize CO2 and water injection wells. operator achieved clear, immediate results. Its team can access Without this capability, the team had to manually extract the data, field data from the office in near real-time and can receive import it to Excel and wait for it to be processed. notifications when conditions of interest are met. What the operator tried first The operator’s connected injection wells are now able to After assessing the upgrade process, the company knew it would be optimized as frequently as desired to minimize cost and not solve their challenges. The upgrade itself was expensive, with maximize production, with the capability to automate 100% of a recurring license fee that provided little flexibility. And even the optimization in real-time on the platform in the future. Key with the pricey upgrade, the historian would not meet the team’s reporting is fully automated, with no manual steps required. needs. At best, it would still take 48 hours for data to get from the field to the office—with many slow, manual processes in between. As the operator continues to use the Lavoro Foundation, it is When the company decided to decommission its current solution, finding new value-adds. Case in point: when storms interrupted Lavoro was ready to help its team discover the power of a modern, site connectivity to the cloud, Lavoro Historian on the edge ensured cost-effective historian. that no data was lost. The moment connectivity came back, the data was available in the cloud.
Agora is a mark of Schlumberger. Other company, product, and service names are the properties of their respective owners. agoraiot.com Copyright © 2021 Schlumberger. All rights reserved. Completions Vision
Completions Vision
Holistic approach to wellsite management for fracturing, perforating, and valve management
T Challenges E L T A T S Data Collection and Connectivity L A O Edge Solution Fracturing, Perforating, and Valve Monitoring A T U A I T S U S T Analytics and Machine Learning A Benefits O L I O O
nformation on A ora and A ora can be found at A ora o com [email protected] | www.AgoraIoT.com Autonomous Setpoint Optimization
Dynamic, autonomous edge intelligence for production operations
Challenges S A A T O U T L N T Edge Solution Edge AI to Autonomously Increase Production O A A AI R T T O I Agora Platform Benefits A E II T R A II T E A SE
nformation on A ora and A ora can be found at A ora o com [email protected] | www.AgoraIoT.com Case study: Production Location: Haynesville
Autonomous Setpoint Optimization Increases Production by 10% and Reduces Manual Interventions by 80% Data-driven approach autonomously manages choke setpoint to increase production and reduce manual interventions on gas wells in Haynesville Agora’s edge AI solution enabled autonomous operation of gas Improving operations with edge AI wells–without manual interventions that challenges project As the well’s naturally decline, the algorithm adapts to learn new economics and the sustainability of operations. The data thresholds to manage the choke setpoint, maximizing the amount driven and physics-based approach dynamically controlled well of time the wells flow in steady state. In addition to improved gas setpoints to continually optimize production operations. rate, the algorithm proactively identifies potential liquid loading scenarios mitigating them before they occur, and alerting the user The operator’s challenges to wells that will still require manual intervention. The unloading Management of hundreds of wells on intermitters did not permit procedure prevents or minimizes liquid loading by utilizing multi- the operator time to optimize their choke setpoints in real time parameter threshold criteria and a self-unloading mechanism for each individual well. This led to a high frequency of liquid to remove water from the wells and create enough differential loading events each month that require the operator’s production pressure to allow the wells flow normally. team to visit the wellsite and unload the well manually so it can return to normal operation. This tedious process consumed What was achieved resources and increased production costs. The operator wanted Over the three-month production period, Agora improved to find a solution that improved the efficiency of their personnel, production by 10% and reduced manual unloading up to 82% autonomously managed their choke setpoints, provided across 10 wells. The operator projects to realize a total increase of incremental production gain, and reduced or eliminated the need 135,000 MCF of gas in one year. to manually unload the wells. In addition to the production increase, the sustainability of What Agora recommended operations were improved via the edge algorithm management. The AgoraGateway–an intelligent edge computing device–was The reduction in manual unloads deployed on 10 wells to capture, monitor, and control the choke will substantially reduce the need for field technicians to make setpoint. An algorithm developed by Agora was deployed on the trips to the wellsite for liquid loading events, significantly AgoraGateway to autonomously manage the choke setpoint and reducing the operator’s carbon footprint. flow the wells without human intervention.
AgoraGateways automate and optimize the choke setpoint on gas wells in the Haynesville Shale.
Agora is a mark of Agora. Copyright © 2020 Agora. All rights reserved. agoraiot.com tuned production operations solution Digitally enabling production operations for faster, better decisions
Applications ■ Delivers consistency across assets and the analytics into a shared, collaborative ■ Production surveillance, analysis, standardization of best practices environment.
and diagnostics ■ Leverages your existing data sources and The net result is the instant identification ■ Well and field-scale production and artificial software technology and increases the of underperforming assets, issues, and lift optimization return on investment while lowering the opportunities for improvement, as well as cost of ownership ■ Flow assurance risk identification confidence in recommendations and decision ■ Pipeline integrity management Enhancing operations and making at the right time. ■ Capacity planning production performance Your teams can proactively manage assets The ProdOps* tuned production operations ■ Production forecasting by reviewing advisory insights. Insights solution enables you to optimize production ■ run continuously and automatically in the Candidate selection for workovers performance and continuously create value and interventions background using data-driven or physics- at scale. Powered by the open, cloud-based driven models or in combination as hybrid Key benefits DELFI* cognitive E&P environment, ProdOps models. Insights provide recommendations solution seamlessly connects people, data, ■ Provides a single-source view of operations that can be ranked based on metrics, such as for clarity in analysis and decision making and models across the entire production potential gains and chances of success. space—streamlining your operations and ■ Delivers automated insights that give delivering greater insight for faster and better The ProdOps solution enables engineers continuous guidance and recommendations decision making. to share data, store models, and track and based on the latest operating conditions manage models as they mature over time. ■ Enables integrated machine learning and AI Unifying data in a shared production Engineers can easily evaluate alternatives for continuous learning and value extraction advisory system using consistent models for design, ProdOps solution delivers unity by bringing ■ Offers integrated self-service analytics to engineering analysis, and operations. support personalization and adding your together data and work processes from across own IP your organization to set new standards. Empowering asset teams Underpinned by a robust, industry-proven data ProdOps solution enables asset teams to track ■ Enables quick and easy data connections infrastructure and ingestion framework, the production metrics, analyze performance, and to rapidly prototype new solutions, solution brings together live, contextualized manage tasks more easily and with greater including cross-domain work processes data from structured and unstructured clarity compared with using conventional beyond operations sources, calibrated first-principle physics methods. Teams have access to an up-to- ■ Supports new applications and solutions models of wells and networks, and data date and comprehensive view of the entire with an open framework and scalability
Integrated Asset managers Production engineers Surveillance engineers Streamlined ingestion, integration, and orchestration of data and models across your organization and from third-party sources
Collaborative A single environment to review and analyze performance, assign tasks, and track activities
Automated Data-driven and first-principle models for continuous, automated insights and value creation
Open Liberation of data and workflows; capability to connect systems and differentiate with your own IP Facilities engineers Field operators System technicians
Key attributes of ProdOps solution. asset to quickly understand reasons for engineers and asset managers with actionable solutions—providing you instant access to underperformance. By automating data insights and customized analytics for proactive data, models, and analytics for continuous gathering, ProdOps solution delivers significant decision making without having to be data value creation while maximizing ROI. quality improvements and time savings, science experts. freeing up time for deeper analysis and the ProdOps solution combines deep petroleum identification of opportunities. Data, workflows, and business logic are engineering domain science, innovative integrated to autodetect trends and well digital technologies, and more than After solutions or opportunities are identified, events, remove data outliers, and automate 20 years’ experience in digital oilfield tasks can be assigned and moved to resolution processes, such as decline curve fitting. projects worldwide. From pilot projects through collaboration on task assignments, to enterprisewide implementation and verification, tracking, and up to final closure. Maximizing ROI and enabling innovation postimplementation support, Schlumberger The scalable ProdOps solution enables you to is committed to helping you achieve your Automating data and analytics readily connect to data and build your own full potential with the ProdOps solution The solution transforms well production workflows and applications. It is a cost- by guiding you every step of the way. We management and surveillance by automating effective solution that lowers the total cost work in partnership with you and third the execution of workflows through machine of ownership compared with conventional parties to deliver solutions that help you learning and advanced AI. This provides production surveillance and analysis remain competitive.
Well operations ■ Quickly view and understand underperformance Optimization through continuous ■ Reliably diagnose problems and confidently recommend solutions monitoring and automated identification at the right time of operational issues ■ Support a range of artificial lift types
Network operations ■ Optimize production and artificial lift Immediate guidance for better field-scale ■ Identify flow assurance risk production management decisions ■ Manage pipeline integrity ■ Enable capacity planning
Production forecasting ■ Automatically identify wells that need updates Intelligent production forecasting ■ Rapidly update large well counts with batch runs
Well portfolio optimization ■ Automate engineering best practices and business logic Automated, rapid screening and ranking ■ Proactively manage assets with automated recommendations, of workover candidates potential gains, and likelihood of success
ProdOps solution applications can be augmented with your own IP.
What is the DELFI cognitive E&P environment? The secure, scalable, and open cloud-based DELFI environment provides seamless access to software across exploration, development, drilling, production, and midstream applications—all delivered via a flexible and personalized SaaS subscription model. Combined with domain expertise, digital technologies in the DELFI environment help solve challenges across the E&P life cycle. slb.com/ProdOps
*Mark of Schlumberger Other company, product, and service names are the properties of their respective owners. Copyright © 2020 Schlumberger. All rights reserved. 20-IS-815318 MPFM Advisor
Remote management and production optimization for multiphase flowmeters
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Challenges R A I U Intelligent, realtime well management enabled remotely Edge Solution A I A A R Agora Platform A Benefits E II T A R II T A
nformation on A ora and A ora can be found at A ora o com [email protected] | www.AgoraIoT.com Case study: Production Location: Permian Basin
MPFM Advisor Enables Remote Management and Production Optimization Workflows for Multiphase Flowmeters Operator reduces field visits by 30% and increases production by 14,000 bbl after implementing a cost effective real-time workflow for surveillance and diagnostics
An operator in the Permian Basin utilized remote monitoring and edge computing of multiphase flowmeter data to prioritize anomalous wells, proactively schedule field visits to minimize downtime, and enhance optimization workflows.
The operator’s challenges Meters not connected to a SCADA system require manual data gathering. An operator was sending personnel to the field every day to read data from flowmeters, resulting in unnecessary HSE The MPFM Advisor application visualized a multitude of data from the flowmeter and derived KPIs to exposure and occasional human error in provide accurate reporting of flow rates. the reporting. A third-party service provider was also regularly sending people to the field to check the health and calibration of the meter. Because of the quantity of meters in the field and the need for a constant data stream to manage their fiscal allocation, the information the operator was able to capture was limited and infrequent, resulting in failed equipment or deferred production.
What Agora recommended With cellular coverage avaliable at the well site, Agora recommended installing an AgoraGateway and running the MPFM Advisor application to remotely visualize A flowmeter solution triangle can be enabled to ensure reliable diagnostics and proactive the data from the flowmeters, granting easy well management. access to the data for production engineers to optimize their artifical lift strategy. What was achieved The MPFM Advisor application enables With minimal capex involved, the solution from Agora was implemented, and the operator operators to visualize minute-by-minute began running the MPFM Advisor application with intelligent alerts. The operator was able high-frequency data from any mobile to prioritize data from the flowmeters to proactively manage the well conditions while device or computer along with setting up reducing field visits. The minute-by-minute visualization was easily available on mobile intelligent alerts based on well condition devices, and well profiles could be switched within the application. The service provider parameters. The edge application on the also benefited from access to the data, and enabling proactive recalibration of the meters AgoraGateway uses analytics to identify if a to reduce fiscal allocation errors. The solution reduced field visits by 30% per month, meter has lost memory or been reset. resulting in minimized HSE exposure. Due to the increased uptime, the operator realized a 3% improvement in production on 20 wells, an increase of 14,000 bbl over the first year.
Agora and AgoraGateway are marks of Schlumberger. Other company, product, and service names are the properties of their respective owners. Copyright © 2020 Schlumberger. All rights reserved. agoraiot.com Electrostatic Oil Treater Performance
Process Live data-enriched performance service
In Partnership with:
L Challenges L E S T O
I Edge Solution E Realize opex savings you are missing and plan turnarounds L I R Benefits R A R O2 T T L E Agora Platform A E II T A II T A
nformation on A ora and A ora can be found at A ora o com [email protected] | www.AgoraIoT.com Case study: Processing and Separation Location: Middle East, Onshore
Proactive Diagnosis of Damaged USD 1 Part on Desalter Power Unit Saves Processing Facility Millions Process Live service experts discover voltage imbalance in electrostatic treater unit, enabling rapid and inexpensive correction without lost production, Middle East
The operator of a Middle East oil 14,000 production facility eliminated desalter 12,000 downtime by using Process Live* data- enriched performance service to enhance 10,000
expertise in analyzing data from the V Voltage, facility’s numerous monitoring and 8,000 control systems. 6,000 February March April The operator’s concerns A Middle East heavy oil production facility 25,000 operates in an environment with wide 20,000 variations in temperature and production. The process must deliver on-specification oil with 15,000
basic sediment and water (BS&W) below 0.5% V Voltage, 10,000 and salt content less than 10 lbm/1,000 bbl. The produced fluid contains high-salinity brine 5,000 with salt content in excess of 100,000 ppm. February March April The process system uses NATCO DUAL Maximum negative voltage Maximum positive voltage FREQUENCY* electrostatic treaters to meet Minimum negative voltage Minimum positive voltage the requirements and accommodate the A Process Live service expert compared voltage data from optimized electrostatic processing equipment (top) variations. However, the availability of local and inefficiently operating equipment (bottom) to identify a problem, find the root cause, and eliminate it. technical maintenance support and expensive long-lead-time spare parts is limited. Any downtime for the heater treaters and What Schlumberger recommended desalter would result in reduced throughput Process Live data-enriched performance service improves equipment reliability and simplifies and revenue. data analysis by integrating electrostatic power unit measurements, live process measurements, electrostatic treater domain intelligence, and application and technology expertise with cloud- How was desalter based process optimization software. The service eliminates familiarity gaps by automatically performance monitored? detecting and notifying the operator of events such as gas breakout, input power supply Like most processing facilities, this one fluctuations, and operation upsets. used redundant independent monitoring instrumentation systems for process safety How the facility benefitted and operations. Individual process equipment Within a week of deploying the Process Live service, a remote expert noticed a significant and systems had specific instrumentation nonconformance in the streaming data related to the power unit secondary voltage operating and operational controllers, so only highly parameters for one of the treaters. After a thorough review of the data, the root cause was trained employees could monitor all of the identified as a poor contact alignment due to a failure of an internal connector, which led to an instrumentation and processes. However, output voltage imbalance that, if not remediated, could have severely damaged the treater and at this newly commissioned facility, the slowed facility output. Further investigation determined that the connector had been overtightened operations team had undergone formal with a wrench—rather than only hand tightened—which caused it to break. The connector, which training but lacked familiarity with the cost USD 1, was replaced without loss of production or damage to the power unit. specific technology.
*Mark of Schlumberger Other company, product, and service names are the properties of their respective owners. Copyright © 2020 Schlumberger. All rights reserved. 20-VPS-771169 slb.com Compressor Monitoring
Compressor station real-time monitoring and preventative maintenance
In Partnership with:
I Challenges A FogHorn Lightning™ Compressor Monitoring Solution L S T T A Edge Solution A L E A I T S S R T L S A E UI I T
T Benefits A A Agora Platform R A E II T S A II T A
nformation on A ora and A ora can be found at A ora o com [email protected] | www.AgoraIoT.com SparkPredict
Total asset protection and optimization
In Partnership with:
Predictive Analytics for Anomaly Management Challenges S I R T S S T S I E Early Issue Identification and Resolution U S T S T Benefits Optimize Data Usage I T Agora Platform A E II T A II T A I
nformation on A ora and A ora can be found at A ora o com [email protected] | www.AgoraIoT.com Improving Offshore Production with AI Based Analytics
PROBLEM PROJECT RESULTS
Recurring failures in production SparkPredict® successfully Predict impending failures at subcomponents resulted in >10% identified 75% of production- least 4 days in advance using a downtime and millions of dollars impacting events an average of machine learning model. of lost production. 8 days in advance.
The oil supply chain starts at the production well, and the complexities Their main objectives were to: of offshore operations necessitate thoughtful innovation. McKinsey • See if SparkPredict® could identify failures in this data with at estimates that only 77% of full petroleum production potential is least 4 days of advance notice being realized, which represents an annual $60B gap* between • Improve visibility into the timelines and key contributing features maximum capacity and actual offshore production. for the known failures Leading oil companies know that the path to harvest this opportu- nity exists through data and analytics. They are actively exploring how best to apply machine learning methods to maximize platform availability and optimize maintenance processes that lead to profits, stability, and insulation from the next industry downturn.
THE EVALUATION One major oil platform operator faced significant bottlenecks in their fluid separation process with a direct impact to production. Annually, it observes 5 to 10 unique failure events which result in an estimated 10-15% downtime and up to $8M in lost produc- tion per event. 80% of these failure events are attributed to three subcomponents—one glycol system and two export compres- sors—each of which is instrumented differently and operating at different stages in their lifecycle. The operator was already measuring sensor data and had attempted to use regression-based analytics to predict failures in these subcom- ponents previously. However, the rarity of similar, repeating failures (necessary to train a high-performing regression model) meant their operations team was constantly observing false positives that further complicated the maintenance process. In effect, the plant engineers relied on their domain expertise to try to predict impending failures, but still experienced multiple unplanned downtime events each year. This operator turned to SparkCognition™ to implement a machine learning approach that could predict failures with more accuracy and less noise than their regression model.
THE PROJECT In May of 2017, the operator shared two years of blind sensor data from their gas system with SparkCognition to build the initial model. In order to keep the results as unbiased as possible, the operator Applying unsupervised learning to detect anomalies purposely did not offer any additional insights about operating states for an offshore gas production system or observed events during the time period. • Monitoring over 600 tags to anticipate production loss events
Contact SparkCognition today at [email protected] ©SparkCognition, Inc. 2019. All rights reserved. SparkPredict® data scientists started with thousands of tags, in- cluding pressure, vibration, and temperature, and reduced these to about 130 useful tags per subsystem. This sample was further reduced via dimensionality reduction techniques to remove noise in the data. This high quality data set was used to build unsupervised learning models for each subcomponent that identify new, previ- ously unknown operating states. With this information, a SME can predict and diagnose impending failures and prioritize work orders.
THE RESULTS Within three months, SparkCognition had completed the unsu- pervised models that characterized the system behavior over the two years of given data. These are being used in production with notable successes:
With these promising results, the platform operator is expanding predictive analytics to other platforms in the Gulf of Mexico and North Sea in a phased approach over the next five years.
Accurate Detection of Operating States: Using only the provided, unlabeled data, Spark- Predict precisely identified the signatures that define the various operating states of the asset. This includes being able to detect subtle irregu- larities, for example, periods of personnel train- ing, which are not readily observable. Identifying these operating states adds to the credibility of the model and accuracy of clusters.
Improved Advance Failure Warnings: ABOUT SPARKCOGNITION™ During validation, SparkPredict accurately de- SparkCognition builds leading artificial intelligence solutions to tected new anomalous clusters in blind data advance the most important interests of society. We help customers which mapped to unique, known failure events. analyze complex data, empower decision making, and transform The new clusters appeared with an average of 8 human and industrial productivity with award-winning machine days’ advance notice, exceeding the expectations learning technology and expert teams focused on defense, IIoT, set for the project. and finance. For more information, visit www.sparkcognition.com
Explainable Insights: REFERENCES Accompanying these failure warnings are additional https://www.mckinsey.com/industries/oil-and-gas/our-insights/ insights used by the engineering team to diagnose why-oil-and-gas-companies-must-act-on-analytics root cause and streamline repairs. For example, SparkPredict surfaced a prioritized list of data *30% of production is offshore per: features pointing to issues in the glycol reboiler http://www.oilscams.org/offshore-vs-onshore-oil-drilling heater, disconnect switch, and export compressor.
Contact SparkCognition today at [email protected] ©SparkCognition, Inc. 2019. All rights reserved. Crosser Edge Analytics
Optimize your edge device data collection
In Partnership with:
I Challenges R IoT Edge Analytics – WHEN MACHINES TALK™ T I I T OT IT S T Edge Solution A I T T A L L U I I S S A I E I T O I OEE AI L Benefits A E A E I T A A R Agora Platform L A E II T A II T A
nformation on A ora and A ora can be found at A ora o com [email protected] | www.AgoraIoT.com Agora Solutions
Cybersecurity Deploy various elements of security for both edge computing as well as transmission and ingestion into a cloud environment.
37 V1.1 Identity and Access Management
Identity management and access control enforcement for OT field devices, users, and apps
In Partnership with:
T Challenges I T T L A S T T I Xage Security™ Identity and Access Management Solution N I A IA T O I T S A A L RTU I OT IT L
T S Edge Solution A I T T A S I S I T S A L A T S Benefits S R IA Agora Platform S S O R A A A E II T S A II T A A O IT
nformation on A ora and A ora can be found at A ora o com [email protected] | www.AgoraIoT.com Active Cyber Risk Management
The first purpose-built data lake for security
In Partnership with:
O T Challenges I T T O Edge to cloud security with Agora and Prismo Edge Solution T A O T A R IT A I T A Benefits Features include: O E S I T E O I IT S
I O SO O A I Agora Platform A E II T A II T A
nformation on A ora and A ora can be found at A ora o com [email protected] | www.AgoraIoT.com