By International Petroleum Technology Conference (IPTC)
Instructors: Olivier Dubrule and Lukas Mosser, Imperial College London
Deep Learning (DL) is already bringing game-changing applications to the petroleum industry, and this is certainly the beginning of an enduring trend. Many petroleum engineers and geoscientists are interested to know more about DL but are not sure where to start. This one-day course aims to provide this introduction. The first half of the course presents the formalism of Logistic Regression, Neural Networks and Convolutional Neural Networks and some of their applications. Much of the standard terminology used in DL applications is also presented. In the afternoon, the on-line environment associated with DL is discussed, from Python libraries to software repositories, including useful websites and big datasets. The last part of the course is spent discussing the most promising subsurface applications of DL.
Who Should Attend?
This course, aimed at petroleum engineers and geoscientists, requires basic knowledge of Probability, Regression and Linear Algebra.
Module 1: Supervised vs Unsupervised Learning, Regression, Logistic Regression. Basic theory, terminology and examples.
Module 2: Feed-Forward Neural Networks and Convolutional Neural Networks. Basic theory, terminology and examples.
Module 3: Getting Started using open on-line resources: Python environment, DL libraries, software repositories, large datasets, useful websites, etc.
Module 4: Examples of successful DL industry applications.
Professor Olivier Dubrule is a Visiting Professor seconded by Total at the Department of Earth Science and Engineering at Imperial College London. He has spent most of his career developing new tools in relation with Geostatistics, Gaussian Processes and more recently Machine Learning. He is currently teaching the Machine Learning module of the new MSc Advanced Computational Science and Engineering at Imperial College. Olivier has been the 2003 SEG/EAGE Distinguished Instructor, and has taught many courses through the four IPTC Professional Societies in the last twenty-five years. He has authored two books, one of which has been translated in Russian and Farsi.
Lukas Mosser is a PhD Student in Machine Learning. Since he started his PhD in October 2016, Lukas has published important papers on Machine Learning in major peer-reviewed publications such as Transport in Porous Media and Physical Review Letters E. He specializes in the development of methods based on Generative Adversarial Networks (GANs) in relation to subsurface applications. Lukas has obtained numerous awards in the Machine Learning hackathons in which he recently competed.
By American Association of Petroleum Geologists (AAPG)
Instructor: J. M. (Mike) Moldowan, CEO/President, Biomarker Technologies, Inc. and Professor, Department of Geological Sciences, Stanford University
Exploration is all about creating prospects that can yield new discoveries. While older geochemical technologies such as isotopes of oils and oil fractions and biomarkers are extremely useful, they have already been applied to most of the basins in the world and therefore, are unlikely to yield many new exploration ideas. In this workshop you will be introduced to new organic geochemical techniques that can provide crucial information that was previously unobtainable. These methods can be used to get a totally new picture of the petroleum systems in mature basins and will allow for the creation of more accurate basin models. These will in turn allow for the recognition of new plays and drilling targets.
Examples of applications of these revolutionary technologies to both conventional and unconventional petroleum systems will be presented. The focus will be on three topics:
Professor J. M. (Mike) Moldowan obtained a Ph.D. degree in Chemistry in 1972 from The University of Michigan. He became an early member and eventual leader of the Chevron biomarker team from 1974 to 1993, which conducted major pioneering efforts to establish the application of biological marker technology to petroleum exploration. Dr. Moldowan joined the Department of Geological Sciences at Stanford University as Professor (Research) in 1993, where he conducted research and taught courses on molecular geochemistry related to petroleum exploration and production, while advising numerous graduate students on their Ph.D. thesis research. In 2012 he founded the laboratory enterprise, Biomarker Technologies, Inc., which offers unique applications of advanced geochemical technologies to industry. He has served as Chair of the Division of Geochemistry of the American Chemical Society, twice been awarded “The Best Paper Award” by the Organic Geochemical Division of the Geochemical Society for publications in organic geochemistry, and published more than 100 articles on geochemistry, including two editions of “The Biomarker Guide” in 1993 and 2005. In 2011, Professor Moldowan received the Treib’s Medal, considered the ultimate career award for Organic Geochemistry.
By Society of Petroleum Engineers (SPE)
Instructor: Ibrahim Abou-Sayed, President, i-Stimulation Solutions, Inc.
The Integrated Production Optimization in shale (IPO-Shale) course is designed to demonstrate an integrated approach for shale formations through the field life cycle:
This course is designed for oil and gas professionals interested in knowing more about current shale development practices and how they might be improved for future wells.
Dr. Ibrahim S. Abou-Sayed is the founder and president of i-Stimulation Solutions, Inc. Dr. Abou-Sayed has more than 37 years of industry experience focused on well stimulation and production enhancement for tight reservoirs and shale plays.
Since early 2008, he has focused his activities in support of developing Haynesville, Bossier, Marcellus, Eagle Ford, and Utica shale plays. His responsibilities included geomeachnical modelling, lateral landing zone selection, setting stimulation strategy and implementation, failure analysis & remedy, developing the extended drawdown management program, and shale refracturing technology
Previously, he worked for Advantek International, Inc. In ExxonMobil, where he worked for more than 22 years, Ibrahim was responsible for Stimulation R&D, technical services and training. He is one of the pioneers of horizontal well stimulation technology. He also worked for Gulf Oil in the well stimulation and production engineering areas. Ibrahim has worked in more than 15 countries and authored more than 40 papers and has co-authored 5 patents. Dr. Abou-Sayed has received a number of SPE awards and recognitions including Distinguished Member and Distinguished Service awards.
Early Bird by 22 January 2019
Member: USD 695
Nonmember: USD 795
After 22 January 2019
Member: USD 795
Nonmember: USD 895
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