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The Open Petroleum Engineering Journal
1874-8341/19 Send Orders for Reprints to [email protected] 1 The Open Petroleum Engineering Journal Content list available at: https://openpetroleumengineeringjournal.com RESEARCH ARTICLE Analysis of Spatial Distribution Pattern of Reservoir Petrophysical Properties for Horizontal Well Performance Evaluation-A Case Study of Reservoir X Aidoo Borsah Abraham1,*, Annan Boah Evans1 and Brantson Eric Thompson2 1Oil and Gas Engineering Department, School of Engineering, All Nations University College, Koforidua, Ghana 2Petroleum Engineering Department, Faculty of Mineral Resources Technology, University of Mines and Technology, Tarkwa, Ghana Abstract: Introduction: Building a large number of static models to analyze reservoir performance is vital in reservoir development planning. For the purpose of maximizing oil recovery, reservoir behavior must be modelled properly to predict its performance. This requires the study of the variation of the reservoir petrophysical properties as a function of spatial location. Methods: In recent times, the method used to analyze reservoir behavior is the use of reservoir simulation. Hence, this study seeks to analyze the spatial distribution pattern of reservoir petrophysical properties such as porosity, permeability, thickness, saturation and ascertain its effect on cumulative oil production. Geostatistical techniques were used to distribute the petrophysical properties in building a 2D static model of the reservoir and construction of dynamic model to analyze reservoir performance. Vertical to horizontal permeability anisotropy ratio affects horizontal wells drilled in the 2D static reservoir. The performance of the horizontal wells appeared to be increasing steadily as kv/kh increases. At kv/kh value of 0.55, a higher cumulative oil production was observed compared to a kv/kh ratio of 0.4, 0.2, and 0.1. -
BP Executive: True Test of Downturn Will Come During Recovery
2016.otcnet.org Tuesday, May 3 | Houston, Texas | THE OFFICIAL 2016 OFFSHORE TECHNOLOGY CONFERENCE NEWSPAPER | DAY 2 BP Executive: True Test Fiery Ice of Downturn Will Come Takes Center During Recovery Stage n Leading experts to discuss advances n Energy demand is expected to increase by one-third by 2035, but oil and gas in E&P testing of gas hydrates during companies need to start looking at hydrocarbons as products to streamline. Wednesday luncheon. BY DARREN BARBEE “It’s how we will improve through BY JENNIFER PRESLEY the productivity of our oil sector and magine the oil and gas world as an assembly line, put costs on a downward curve.” t is the ice that burns, and it is more than an industrial Ichurning out cubes of oil and natural gas. Assem- For instance, BP’s Mad Dog Ihazard plugging pipelines. It goes by many names—fire bly lines are efficient. Changes mean swapping out Phase 2 project in the Gulf of Mex- in the ice or fiery ice being two of the more popular descrip- one part—not the entire system. Industrial and avia- ico went through about $10 billion tors. Gas hydrate is the curious clathrate formed by natural tion companies typically cut costs annually. But on the in cost trims, Looney said. gas and water. Found in the Arctic and in the deepwater hydrocarbon conveyor belt, cost efficiency doesn’t seem “This was a $20 billion project, continental margins around the globe, the energy poten- to follow any logical pattern. Bernard Looney and we’ve brought it down to under tial of this other unconventional hydrocarbon is keeping “In oil and gas, specifically the upstream, costs as we $10 billion with expected returns researchers busy unlocking its secrets to better understand know tend to follow oil price and in general have trended improved despite a lower oil price,” he said. -
SPE 112246 Rapid Model Updating with Right-Time Data
SPE 112246 Rapid Model Updating with Right-Time Data - Ensuring Models Remain Evergreen for Improved Reservoir Management Stephen J. Webb, David E. Revus, Angela M. Myhre, Roxar, Nigel H. Goodwin, K. Neil B. Dunlop, John R. Heritage, Energy Scitech Ltd. Copyright 2008, Society of Petroleum Engineers evergreen and providing the most up-to-date basis for the This paper was prepared for presentation at the 2008 SPE Intelligent Energy Conference making of important reservoir management decisions. and Exhibition held in Amsterdam, The Netherlands, 25–27 February 2008. This paper was selected for presentation by an SPE program committee following review of information contained in an abstract submitted by the author(s). Contents of the paper Introduction have not been reviewed by the Society of Petroleum Engineers and are subject to Since the early days of reservoir simulation, history correction by the author(s). The material does not necessarily reflect any position of the 1 Society of Petroleum Engineers, its officers, or members. Electronic reproduction, matching has been identified as one of the best methods distribution, or storage of any part of this paper without the written consent of the Society of Petroleum Engineers is prohibited. Permission to reproduce in print is restricted to an of validating a reservoir model’s predictive capabilities. abstract of not more than 300 words; illustrations may not be copied. The abstract must Often long periods of time have been spent adjusting the contain conspicuous acknowledgment of SPE copyright. reservoir description so that the reservoir simulator’s calculated results match the observed data from the reservoir. -
Reservoir Simulation
Reservoir Simulation NETHERLAND, SEWELL & ASSOCIATES, INC. One of the most respected names in global petroleum consulting Preferred by companies who need reliable results Quality at a competitive price Expertise in Reservoir Simulation Numerical reservoir simulation is a state-of-the- art evaluation tool that includes material balance, fluid flow, reservoir heterogeneity, well interference, wellbore hydraulics, and facility characteristics in its predictions of reservoir performance. Simulation can be a valuable tool to determine the best development plan for a new reservoir or to improve an existing field by understanding historical production behavior. Experience has taught us that in order for reservoir simulation to be a useful evaluation tool, it must be implemented by an experienced, multi-functional team of geoscientists and reservoir engineers. The Reservoir Simulation team at Netherland, Sewell & Associates, Inc. (NSAI) is comprised of experts who have been working with simulation tools for over 15 years and have been evaluating reservoirs around the world for over 20 years. Reservoir Simulation Experts Dave Adams - Reservoir/Simulation Engineer - Dallas Mike Begland - Reservoir/Simulation Engineer - Dallas Chris Tucker - Reservoir/Simulation Engineer - Dallas Derek Newton - Reservoir/Simulation Engineer - Houston Methodology We use black oil and compositional models in our studies, and our experts are proficient with a variety of simulation software applications including Schlumberger Eclipse® and Halliburton Landmark’s VIP®. No job is too large—our history match models have included fields with over 1,200 wells and 80 years of history. Be it a single-well evaluation, a mechanistic model, or a full-field history match, our experts are skilled in all aspects of reservoir simulation. -
ECLIPSE 2012 Reservoir Simulation Software Industry-Reference Simulator
ECLIPSE 2012 Reservoir Simulation Software Industry-reference simulator ECLIPSE* reservoir simulation software provides a complete and robust upscaling, history match analysis, uncertainty and sensitivity analysis, set of numerical solutions for fast and accurate prediction of dynamic well path and completion design, and design optimization of well behavior—for all types of reservoirs and degrees of complexity, including locations, completions, and reservoir recovery methods. structure, geology, fluids, and development schemes. Blackoil simulation The ECLIPSE industry-reference simulator covers the entire spectrum The ECLIPSE Blackoil simulator supports three-phase, 3D reservoir of reservoir simulation, including black-oil, compositional, and thermal simulation with extensive well controls, field operations planning, and finite-volume reservoir simulation, as well as ECLIPSE FrontSim comprehensive enhanced oil recovery (EOR) schemes. streamline reservoir simulation capabilities. With a wide range of add-on options—such as coal and shale gas, enhanced oil recovery, advanced Compositional simulation wells, and surface networks—you can tailor the simulator capabilities, When modeling multicomponent hydrocarbon flow, the ECLIPSE enhancing the scope of your reservoir simulation studies. Compositional simulator provides a detailed description of reservoir fluid phase behavior and compositional changes. With their depth and breadth of capabilities, innovative technologies, robustness, speed, parallel scalability, and platform coverage, ECLIPSE -
Reservoir Simulation for Strategic Decisions Simulation for Strategically Sound Economic Decisions
Reservoir Simulation for Strategic Decisions Simulation for Strategically Sound Economic Decisions E&P companies are increasingly making better investment decisions for costs can run into the millions of dollars, Ryder Scott reservoir models field development by using reservoir simulation. These built-for-purpose models pay for themselves again and again. help you devise development or operational strategies to maximize recovery and profit. Your objective may be to develop behind-pipe reserves, identify infill- Clients using Ryder Scott reservoir models avoid drilling opportunities, optimize a pressure maintenance program or determine over-development and over-drilling. They put efficient well spacing. Or you may have other goals, such as evaluating their projects on the fast track, capture changes to processing facilities or improving gas-storage operations. What- more reserves per well, increase ever the case, reviewing model runs leads to better decisions by helping predict field efficiency, boost ultimate complex reservoir behavior and field performance under various drilling and recoveries and improve operating scenarios. overall economics. Typically, a simulation study guides and, in some cases, limits development activities that cost far more than the simulation itself. Since drilling and completion Reviewing model runs leads to better decisions by helping predict complex reservoir behavior and field performance. The Utility of the Simulation Tool A reservoir simulation model is a tool that helps E&P companies make informed business decisions regarding oil and gas reserves estimates, reservoir management, reservoir performance, process design and strategic planning. Nearly every type of field-production scenario can be modeled. Ryder Scott constructs and executes models to predict the performance of straight, horizontal and directional wells, well patterns, sectors of fields, entire fields and wellbore tubulars linked to the surface. -
Computer-Aided Design Bruce Vernor's China Geoff Winningham's Houston Homecoming '86 Preview
ASSOCIATION OF RICE ALUM: VOLUME 43 NUMBER I SEPT -OCT 1980t) Computer-Aided Design Bruce Vernor's China Geoff Winningham's Houston Homecoming '86 Preview - Coolefral SEPT.-OCT. 1986, VOL. 43, NO. 1 Finding a New Face for the Rice Curriculum 8 As Rice faculty members gear up to take a long, hard look at the university's curriculum, EDITOR phrases like "well-rounded education" and "required minor" are being heard more and more Suzanne Johnson often. Sallyport takes a look at the discussions to date, and talks with Rice Provost Neal Lane CONTRIBUTING AND about what the faculty hopes the Rice education will become. STAFF WRITERS Erin Blair '88 Steve Brynes Back to the Drawing Board? Andre Fox '86 10 PHOTOGRAPHERS Not if Rice's Bill Bavinger and John Heile have anything to say about it. Their program in James Bell computer-aided design at Rice's School of Architecture sets out to prove that computers are Kristi Isacksen more than just high-tech substitutes for the drafting table. DESIGNER Carol Edwards Houston: A Place of Dreams 12 OFFICERS OF THE ASSOCIATION OF RICE ALUMNI It's the title of a new book from Rice University Press. It also describes how the co-author, President, Gwynne E. Old '59 Rice professor and photographer Geoff Winningham, sees his city. Fourth in the Sallyport se- President-Elect, William (Bill) Merriman '67 ries saluting Houston's and Texas's sesquicentennials. 1st Vice-President, Nancy Moore Eubank '53 2nd Vice-President, Dan Steiner '77 Treasurer, H. Russell Pitman '58 The China Connection 14 Past President, G. -
BP Mad Dog 2
Mad Dog 2 production pipeline end terminal BP Mad Dog 2 OUR PROJECT Field Information VALUES CLIENT Project at a glance The Mad Dog field is located approximately 190 miles offshore in the Southern Green BP The contract scope awarded to Subsea 7 covers engineering, procurement, Canyon area of the Gulf of Mexico (GOM). Mad Dog is a deep-water field in a water depth construction and installation (EPCI) of the subsea umbilicals, risers and flowlines ranging from approximately 1,370m - 2,200m. Oil reserves have been discovered within Safety (SURF) and associated subsea architecture. the existing Mad Dog field that are outside the reach of the existing Spar drilling rig and Schlumberger OneSubsea, Subsea 7's Subsea Integration Alliance partner, has been therefore new subsea and surface facilities are required to exploit the new reserves. awarded the Subsea Production Systems contract. Source: Modified from BP.com Full project information overleaf Integrity Highlights • First substantial project in the US • Multi-centre project with project Sustainability to use Subsea 7’s Swagelining management and engineering polymer lining technology. taking place in Houston, Texas with • First project to install in-house support from Subsea 7’s Global Performance designed steel lazy wave riser Project Centres in London and Paris. systems. Pipeline fabrication and Liner support supplied from Glasgow, Scotland. • The lazy wave risers will be wet stored onto the seabed and then • Delivered in close collaboration with Collaboration recovered and hung off onto Schlumberger OneSubsea, Subsea 7's the FPU following tow-out and Subsea Integration Alliance partner. mooring. Innovation Our Differentiators Culture Creativity Relationships Reliability Solutions www.subsea7.com© Subsea 7, February 2019. -
Reservoir Simulation-Based Modeling for Characterizing Longwall Methane Emissions and Gob Gas Venthole Production
Reservoir simulation-based modeling for characterizing longwall methane emissions and gob gas venthole production C.O. Karacan , G.S. Esterhuizen, S.J. Schatzel, W.P. Diamond National Institute for Occupational Safety and Health (NIOSH), PiPinsburgh Research Laboratory, United States Abstract Longwall mining alters the fluid-flow-related reservoir properties of the rocks overlying and underlying an extracted panel due to fracturing and relaxation of the strata. These mining-related disturbances create new pressure depletion zones and new flow paths for gas migration and may cause unexpected or uncontrolled migration ofgas into the underground workplace. One common technique to control methane emissions in longwall mines is to drill vertical gob gas ventholes into each longwall panel to capture the methane within the overlying fractured strata before it enters the work environment. Thus, it is important to optimize the well parameters, e.g., the borehole diameter, and the length and position of the slotted casing interval relative to the hctured gas-bearing zones. This paper presents the development and results of a comprehensive, "dynamic," three-dimensional reservoir model of a typical multipanel Pittsburgh coalbed longwall mine. The alteration of permeability fields in and above the panels as a result of the mining- induced disturbances has been estimated from mechanical modeling of the overlying rock mass. Model calibration was performed through history matching the gas production &om gob gas ventholes in the study area. Results presented in this paper include a simulation of gas flow patterns from the gas-bearing zones in the overlying strata to the mine environment, as well as the influence of completion practices on optimizing gas production from gob gas ventholes. -
Hydrocarbon Reservoir Modeling: Comparison Between Theoretical and Real Petrophysical Properties from the Namorado Field (Brazil) Case Study
Hydrocarbon reservoir modeling: comparison between theoretical and real petrophysical properties from the Namorado Field (Brazil) case study. Hashimoto, Marcos Deguti, Student from the Master in Oil Engineering E-mail: [email protected] 1. Abstract In reservoir characterization and modeling, due to information-acquisition’s high costs, frequently only indirect measurements of the subsurface properties such as seismic reflection data is available. In the worst-case scenario, only regional geological information is at disposal. In an attempt to provide deeper insights over the study area, with low costs, modeling synthetic reservoirs has been a reliable tool to better characterize reservoir/prospects. In this work two synthetic hydrocarbons reservoirs were modelled recurring to two different approaches to characterize Earth’s subsurface petrophysical (facies, porosity and permeability) and elastic (P-wave, S-wave and density) properties. In the second half of 2013, during the IST (Instituto Superior Técnico) Internship, a synthetic reservoir was conceived and modeled using Namorado Field’s (Campos Basin, Rio de Janeiro, Brazil) as reference. During this intern public data, knowledge, papers, books and dissertations were gathered. In order to validate and certify this outcome, a new synthetic reservoir was proposed, but this time using real data for this field provided by the Brazilian Oil & Gas Agency (ANP). This dissertation addresses the comparison between the theoretical and real synthetic reservoir results, validating the first reservoir step-by-step. The major conclusion reached confirms that the theoretical synthetic reservoir outputs reliable results, however with caution in some of the modelled properties. Keywords: Hydrocarbon synthetic reservoir, Reservoir Modeling, Rock Physics Model, Petrophysical properties, Namorado Field, Campos Basin (Brazil). -
Confirmation of Data-Driven Reservoir Modeling Using Numerical Reservoir Simulation
Graduate Theses, Dissertations, and Problem Reports 2019 CONFIRMATION OF DATA-DRIVEN RESERVOIR MODELING USING NUMERICAL RESERVOIR SIMULATION Al Hasan Mohamed Al Haifi [email protected] Follow this and additional works at: https://researchrepository.wvu.edu/etd Part of the Petroleum Engineering Commons Recommended Citation Al Haifi, Al Hasan Mohamed, "CONFIRMATION OF DATA-DRIVEN RESERVOIR MODELING USING NUMERICAL RESERVOIR SIMULATION" (2019). Graduate Theses, Dissertations, and Problem Reports. 3835. https://researchrepository.wvu.edu/etd/3835 This Thesis is protected by copyright and/or related rights. It has been brought to you by the The Research Repository @ WVU with permission from the rights-holder(s). You are free to use this Thesis in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you must obtain permission from the rights-holder(s) directly, unless additional rights are indicated by a Creative Commons license in the record and/ or on the work itself. This Thesis has been accepted for inclusion in WVU Graduate Theses, Dissertations, and Problem Reports collection by an authorized administrator of The Research Repository @ WVU. For more information, please contact [email protected]. CONFIRMATION OF DATA-DRIVEN RESERVOIR MODELING USING NUMERICAL RESERVOIR SIMULATION Al Hasan Mohamed Mohamed Al Haifi Thesis submitted to the Benjamin M. Statler College of Engineering and Mineral Resources at West Virginia University in partial fulfillment of the requirements -
Techniques for Modeling Complex Reservoirs and Advanced Wells
TECHNIQUES FOR MODELING COMPLEX RESERVOIRS AND ADVANCED WELLS A DISSERTATION SUBMITTED TO THE DEPARTMENT OF ENERGY RESOURCES ENGINEERING AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY Yuanlin Jiang December 2007 °c Copyright by Yuanlin Jiang 2008 All Rights Reserved ii I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. Dr. Hamdi Tchelepi Principal Advisor I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. Dr. Khalid Aziz Advisor I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. Dr. Roland Horne Approved for the University Committee on Graduate Studies. iii Abstract The development of a general-purpose reservoir simulation framework for coupled systems of unstructured reservoir models and advanced wells is the subject of this dissertation. Stanford's General Purpose Research Simulator (GPRS) serves as the base for the new framework. In this work, we made signi¯cant contributions to GPRS, in terms of architectural design, extensibility, computational e±ciency, and new advanced well modeling capabilities. We designed and implemented a new architectural framework, in which the fa- cilities (man-made) model is treated as a separate component and promoted to the same level as the reservoir (natural) component.