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Intelligent Digital Oil and Gas Fields

  • ID: 4226399
  • Book
  • December 2017
  • 374 Pages
  • Elsevier Science and Technology
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Intelligent Digital Oil and Gas Fields: Concepts, Collaboration, and Right-time Decisions delivers to the reader a roadmap through the fast-paced changes in the digital oil field landscape of technology in the form of new sensors, well mechanics such as downhole valves, data analytics and models for dealing with a barrage of data, and changes in the way professionals collaborate on decisions. The book introduces the new age of digital oil and gas technology and process components and provides a backdrop to the value and experience industry has achieved from these in the last few years.

The book then takes the reader on a journey first at a well level through instrumentation and measurement for real-time data acquisition, and then provides practical information on analytics on the real-time data. Artificial intelligence techniques provide insights from the data. The road then travels to the "integrated asset" by detailing how companies utilize Integrated Asset Models to manage assets (reservoirs) within DOF context. From model to practice, new ways to operate smart wells enable optimizing the asset.

Intelligent Digital Oil and Gas Fields is packed with examples and lessons learned from various case studies and provides extensive references for further reading and a final chapter on the "next generation digital oil field," e.g., cloud computing, big data analytics and advances in nanotechnology. This book is a reference that can help managers, engineers, operations, and IT experts understand specifics on how to filter data to create useful information, address analytics, and link workflows across the production value chain enabling teams to make better decisions with a higher degree of certainty and reduced risk.

  • Covers multiple examples and lessons learned from a variety of reservoirs from around the world and production situations
  • Includes techniques on change management and collaboration
  • Delivers real and readily applicable knowledge on technical equipment, workflows and data challenges such as acquisition and quality control that make up the digital oil and gas field solutions of today
  • Describes collaborative systems and ways of working and how companies are transitioning work force to use the technology and making more optimal decisions

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1. Introduction to Digital Oil and Gas Field Systems
2. Instrumentation and Measurement
3. Data Filtering and Conditioning
4. Components of Artificial Intelligence and Data Analytics
5. Workflow Automation and Intelligent Control
6. Integrated Asset Management and Optimization Workflows
7. Smart Wells and Techniques for Reservoir Monitoring
8. Transitioning to Effective DOF Enabled by Collaboration and Management of Change
9. The Future Digital Oil Field
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Carvajal, Gustavo
Gustavo is a Sr. Reservoir Engineer at BP America conducting automated workflows to evaluate unconventional assets and deploys data analytics for production optimization. He is developing full field reservoir simulation models for unconventional reservoirs using history matching in complex geologic systems containing rock matrix, hydraulic fractures, and natural fractures. Prior to his current position, he worked for Halliburton delivering Digital Oil Field intelligent strategies and operations. Gustavo has more than 20 years of experience with IOC, NOC and services companies, and he has published more than 60 technical papers on the subject of reservoir studies and DOF applications, developed more than 40 complex automated workflows that include classic reservoir and production engineering tools combined with artificial intelligence components, and has 15 patents for improving real-time model-based operations. He holds a BSc in Petroleum Engineering from the Universidad de Oriente (Venezuela), a MEng in Project Management from the U.C. Andres Bello (Venezuela), and an MSc and MPhil, both in Reservoir Engineering from Heriot-Watt University, Scotland, UK.
Maucec, Marko
Marko Maucec is a Petroleum Engineering Specialist, responsible for the development and implementation of advanced workflows for uncertainty quantification, assisted history matching, and production optimization of oil and gas fields. In 2015, Marko served as a Data Scientist with Blue River Analytics in Denver, CO. Formerly, he served as Principal Consultant, Chief Technical Advisor/Scientist, and Technology Research Fellow Associate at several positions in Halliburton/Landmark in the US and Malaysia. There, he was working in the areas technology development for assisted history matching and forecasting under uncertainty, integrated DOF workflows, predictive data-driven analytics, advanced geo-modeling, and subsurface imaging of conventional and unconventional assets. Previously, Marko had been a research geoscientist with Shell International E&P in Houston, TX, where he worked in quantitative reservoir management and developed methods for dynamic stochastic model inversion. Prior to entering the oil and gas industry, Marko had worked internationally in the areas of nuclear engineering and nuclear geophysics, specializing in the development of techniques for Monte Carlo simulations of nuclear radiation transport for nuclear safety and medical physics applications. Marko has published more than 80 professional technical and peer-reviewed scientific publications, has been awarded 7 patents, and is a (co)inventor on 14 pending patent applications. Marko is an active member of SPE, where he has served extensively as an invited presenter and a steering committee (co)chair at conferences, technical workshops and Forum series events. He is also currently affiliated as the technical reviewer with several professional journals. Marko holds a BSc in electrical engineering from the University of Ljubljana, a MSc in nuclear engineering from the University of Maribor, and a PhD in nuclear engineering from the University of Ljubljana (all in Slovenia).
Cullick, Stan
Stan is an independent consultant and Engineering Advisor with RARE PETRO Inc. which offers specialized oil field mobile applications, well sensors, and engineering services. In 2015 he formed Greenway Energy Transformations to advise oil and gas operators for which he consulted on Digital Oil Field (DOF) and unconventional development projects for clients in North America and the Middle East. From 2012-2015, he was Director, Corporate Technology in LINN Energy and VP Technology for Berry Petroleum Corp for which he initiated and implemented DOF projects in their North American assets. He had been Chief Advisor and Director for Global Petroleum Engineering for Halliburton Consulting and Project Management, and he was technical manager for a large Middle East DOF implementation in 2010-2011. From 2003 to 2010, Stan was a Halliburton Technology Fellow, focusing on field development planning, well placement, decision management and uncertainty, smart wells, and improved recovery. Previously in Mobil Oil he led projects on field development planning, project evaluation and decision management, production performance optimization, and subsurface characterization. Stan has more than 75 technical articles with about 20 directly related to DOF and 22 awarded patents, including 8 on DOF (3 applications pending). He has a PhD from The Ohio State University, a MBA from University of Texas at Dallas, and a BS from Tulane University.
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