Chevron's Wall-To-Wall PI

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Chevron's Wall-To-Wall PI Volume 21 Number 4 222nd issue 2016 Highlights Chevron’s wall-to-wall PI SMi E&P data frames to capture non-time series Prospero cybersec 100 year old San Joaquin Valley field puts PI through its paces in comprehensive automation data such as information from automated well tests and cyclic SAP interview effort. Upstream Foundation embeds PI Server, a steam flooding. central PI ‘collective’ and secure OT/IT link. Rice HPC in O&G The large community involved in Kappa KURC review Speaking at the 2016 OSIsoft establishing meta data the project meant that attention users conference in San requirements and the to organization was key. A three BP’s rig IT Francisco this month, Neel development of PI asset tier governance model was Valve integrity Chakraborty showed how framework models of groups of developed, involving all Chevron has unified production tags, all of which was discussed stakeholders. The project also ABC Powering O&G data across its San Joachim and approved by stakeholders saw structured knowledge Linux in O&G Valley business unit’s assets before deployment. We transfer from the PI specialists in including the 100+ year old Kern understand that Industrial the contractors to Chevron River field*. Chevron’s data Evolution (now a Yokogawa personnel. Chevron is now challenge was a familiar one, company) designed and looking to implement predictive that of multiple process data implemented the enterprise-wide analytics and to extend the NEXT IN OIL IT repositories, from Excel/Access historian and helped with the tag infrastructure to embrace ‘future to various vendors’ historians. standardization. This process JOURNAL, SAP data.’ Read the paper here. More Back in May 2008 we reported started in 2011 and it took from OSIsoft next month. IN OIL & GAS, on the first stirrings of Chevron’s Chevron a further three years to Upstream Foundation which now complete the unification of all its * The 1899 Bakersfield/Kern THE HAGUE includes a template for the use of sub systems. River discovery is said to have OSIsofts PI System for process Alongside the data historian role inspired the 2007 movie ‘There data unification. In 2009, for PI, Chevron uses PI event will be blood.’ Chevron specified PI Server as In this issue: its ‘common architecture for process control data utilizing an Editorial 2 aggregate process historian More on Macondo throughout upstream business SAP interview, Rice 3 units.’ HPC in oil & gas US Chemical Safety Board finds that latent design Before the UF was implemented faults in the BOP, ‘vague’ safety roles and poor risk CGG, Objectivity, U- 4 Chevron had multiple management contributed to 2010 blowout. Michigan, NETL, GTI, connections across the OT/IT The latest (Volume 4) in a series human performance and major Laredo Petroleum firewall, between various scada of reports from the US Chemical accident risk management.’ servers and PLCs in the field and Soft shorts, Kappa 5 Safety Board’s investigation into a large number of endpoints In its 130 page report, the CSB the Macondo blowout includes SMi E&P data 6 (workstations and mobile judges that while the April 2015 lessons for the regulator. management devices) in the business network. BSEE* well control regulations Previously, legal considerations The plan is to replace all of the and pilot risk-based inspection Prospero cyber 7 limited the flow of information above with a central scada PI program are ‘positive efforts,’ security from BP and Transocean. ‘collective’ on the operations they do not constitute an People, Done deals 8 side of the firewall with a single In 2016, testimony from rig adequate framework for major secure connection to a mirrored personnel who had previously accident prevention. An SMi, BP, IRMS, 9 th ‘business PI collective.’ invoked the 5 amendment has improved approach is needed to brought new insights. The final avoid another Macondo-like Early on, Chevron recognized phase of BOP testing revealed event and to reduce risks to ‘as Sales, partnerships, 10 that equipment tag naming was latent failures in the BOP, even low as reasonably practicable.’ Standards stuff critical to the project’s success before it was deployed to the The CSB found that ‘a culture of and that the UF was a great ABC Powering oil and 11 wellhead. Other records have minimal regulatory compliance opportunity to fix this, with a gas, Patent potpourri, shed light on the interplay continues to exist in the Gulf of consistent naming convention. A Emerson, BLM between BP, Transocean and the Mexico and risk reduction structured ‘information objective regulator. The CSB found continues to prove elusive.’ Forecasts & fantasies, 12 analysis’ process was developed ‘vaguely-established safety roles NOV, IBM, SAP, Linux to rationalize end-to-end tag * Bureau of Safety and and responsibilities that affected Foundation mapping. This included Environmental Enforcement. ...www.oilIT.com...www.oilIT.com...www.oilIT.com...www.oilIT.com...www.oilIT.com...www.oilIT.com..www.oilIT.com... 2016 Oil Information Technology Journal http://www.oilIT.com The outlook? Cloudy. Neil McNaughton quits kicking the GE Predix can down the road and takes a look at the Pivotal/Cloud Foundry-based platform as a service. Back from the EU SAP in oil and gas tradeshow, he reports on another oil and gas-relevant cloud platform. And this month’s actualité brings yet a third from National Oilwell Varco! Will the proliferating platforms bring micro services-based IT nirvana? Or will the obstacle of ‘indirect access’ to data prove insurmountable? As I have been promising for a couple of the platform may be scary and oils are data. This has it that your data, once it has months now, I am going to take a closer unlikely to countenance handing over their passed through SAP’s software, increases look at GE’s Predix offering and other whole IT stack to GE. But if it does work in value. Thus SAP expects you, the data similar uses of big data science to optimize and provide access to PI, to SAP, to this owner, to pay (again) for such indirect use. equipment maintenance. I have been and that and if, as we understand, GE has This is not totally unreasonable as in some kicking the Predix can down the road for 800 developers working on Predix in oil circumstances, indirect use can be a way the past three issues so here is what I have and gas the option may be attractive. of sneaking in extra licenses/seats to the gleaned from GE’s website and our own I just got back from the EU SAP in oil and software. observations on how the Predix concept gas conference (more on that next month) In the context of a supplier of equipment has evolved over the last couple of years. where I learned that SAP is also offering (compressors, BOPs) the notion of data We first came across Predix in 2014 in the data science-based analytics. ‘Yes,’ I hear ownership and re-use is also interesting. context of predicting machine failure. you say, but SAP is about finance. ‘No,’ Even a large oil company only sees a Predix was the platform that supported says SAP which has just offered its high subset of the data that comes in from a GE’s ‘Predictivity’ offering. But how did end Vora analytics to the (real) scientists single vendor’s compressors. The vendor ‘prediction’ become a ‘platform?’ My operating the Square kilometer (radio is in a good position to collate data across guess is that the marketing folks may have telescope) array. The endgame for SAP is all of its kit, worldwide. On the other hand put the platform cart before the predictive similar to GE’s. In fact there is the operator has a significant amount of horse but I digress. considerable overlap in the MMO* space information about operating conditions Anyhow a visit to the Predix home page between the two companies’ offerings. that can inform decisions as to why a certainly clears up what the platform is, a SAP also offers a platform with its Asset particular problem is recurring and what mechanism for connecting distributed intelligence network and repository. the root causes are. So the vendor can machines and sensors to the cloud. How is In a more modest and focused example, improve its knowledge from the operator this done? Predix, at least in its current National Oilwell Varco is offering remote and vice-versa. manifestation, builds of top of Pivotal’s BOP monitoring and predictive analytics While the big data idea catches the Cloud Foundry. Which, Wikipedia informs to users of its subsea blowout preventers. attention, and while the intricacies of me, is an open source, cloud computing Behind NOV’s RigSentry BOP monitoring programming access to data in the cloud platform-as-a-service, originally developed service is ‘Max’ NOV’s very own are fascinating, the big issue here is less by VMware and now owned by Pivotal industrial data platform (see page 12). the size of your data but its ownership. The Software, which is a joint venture between So now, after a short spin through three cloud magnifies the problem of indirect th EMC, VMware and GE itself. service providers offerings, we have three access to the n power! Users of Predix therefore get two things. ‘platforms.’ Those enamored of the cloud On the one hand they get the data access and ‘micro services’ will argue that this is * maintenance management and and information needed to support not a problem, that all of the above will be operations. engineering and operations. On the other consumable as micros services and that all hand, they get some hand holding from your IT/data integration worries will be GE’s cast of thousands of developers as over.
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