Machine Learning in the Oil and Gas Industry : Including Geosciences, Reservoir Engineering, and Production Engineering with Python

Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters provide a primer on the Python programming language used for implementing the algorithms; this is followed by an overview of supervised and unsupervised machine learning concepts. The authors provide industry examples using open source data sets along with practical explanations of the algorithms, without diving too deep into the theoretical aspects of the algorithms employed. __Machine Learning in the Oil and Gas Industry__ covers problems encompassing diverse industry topics, including geophysics (seismic interpretation), geological modeling, reservoir engineering, and production engineering. Throughout the book, the emphasis is on providing a practical approach with step-by-step explanations and code examples for implementing machine and deep learning algorithms for solving real-life problems in the oil and gas industry. **What You Will Learn** * Understanding the end-to-end industry life cycle and flow of data in the industrial operations of the oil and gas industry * Get the basic concepts of computer programming and machine and deep learning required for implementing the algorithms used * Study interesting industry problems that are good candidates for being solved by machine and deep learning * Discover the practical considerations and challenges for executing machine and deep learning projects in the oil and gas industry **Who This Book Is For** Professionals in the oil and gas industry who can benefit from a practical understanding of the machine and deep learning approach to solving real-life problems. Front Matter ....Pages i-xx Toward Oil and Gas 4.0 (Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, Luigi Saputelli)....Pages 1-40 Python Programming Primer (Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, Luigi Saputelli)....Pages 41-73 Overview of Machine Learning and Deep Learning Concepts (Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, Luigi Saputelli)....Pages 75-152 Geophysics and Seismic Data Processing (Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, Luigi Saputelli)....Pages 153-175 Geomodeling (Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, Luigi Saputelli)....Pages 177-194 Reservoir Engineering (Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, Luigi Saputelli)....Pages 195-222 Production Engineering (Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, Luigi Saputelli)....Pages 223-258 Opportunities, Challenges, and Future Trends (Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, Luigi Saputelli)....Pages 259-289 Back Matter ....Pages 291-300