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

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

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

Yogendra Pandey is a senior product manager at Oracle Cloud Infrastructure. He has more than 14 years of experience in orchestrating intelligent systems for the oil and gas, utilities, and chemical industries. He has worked in different capacities with oil and gas, and utilities companies, including Halliburton, ExxonMobil, and ADNOC. Yogendra holds a bachelor's degree in chemical engineering from the Indian Institute of Technology (BHU), and a PhD from the University of Houston, with specialization in high-performance computing applications to complex engineering problems. He served as an executive editor for the Journal of Natural Gas Science and Engineering. Also, he has authored/co-authored more than 25 peer-reviewed journal articles, conference publications, and patent applications. He is a member of the Society of Petroleum Engineers. Ayush Rastogi is a data scientist at BPX Energy, Denver CO. His research interests are based on multi-phase fluid flow modeling and integrating physics-based and data-driven algorithms to develop robust predictive models. He has published his work in the field of machine learning and data-driven predictive modeling in the oil and gas industry. He has previously worked with Liberty Oilfield Services in the technology team in Denver, prior to which he worked as a field engineer in TX, ND, and CO as a part of his internship. He also has experience working as a petroleum engineering consultant in Houston, TX. Ayush holds a PhD in petroleum engineering with a minor in computer science from Colorado School of Mines, and is an active member of the Society of Petroleum Engineers. Sribharath Kainkaryam leads a team of data scientists and data engineers at TGS. Prior to joining TGS in 2018, he was a research scientist working on imaging and velocity model building challenges at Schlumberger. He graduated with a masters in computational geophysics from Purdue University and has an undergraduate degree from the Indian Institute of Technology, Kharagpur. Srimoyee Bhattacharya is a reservoir engineer in the Permian asset team in the Shell Exploration and Production Company. She has over 11 years of combined academic and professional experience in the oil and gas industry. She has worked in reservoir modeling, enhanced oil recovery, history matching, fracture design, production optimization, proxy modelling, and applications of multivariate analysis methods. She also worked with Halliburton as a research intern on digitalization
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Yogendra Pandey is a senior product manager at Oracle Cloud Infrastructure. He has more than 14 years of experience in orchestrating intelligent systems for the oil and gas, utilities, and chemical industries. He has worked in different capacities with oil and gas, and utilities companies, including Halliburton, ExxonMobil, and ADNOC. Yogendra holds a bachelor's degree in chemical engineering from the Indian Institute of Technology (BHU), and a PhD from the University of Houston, with specialization in high-performance computing applications to complex engineering problems. He served as an executive editor for the Journal of Natural Gas Science and Engineering. Also, he has authored/co-authored more than 25 peer-reviewed journal articles, conference publications, and patent applications. He is a member of the Society of Petroleum Engineers. Ayush Rastogi is a data scientist at BPX Energy, Denver CO. His research interests are based on multi-phase fluid flow modeling and integrating physics-based and data-driven algorithms to develop robust predictive models. He has published his work in the field of machine learning and data-driven predictive modeling in the oil and gas industry. He has previously worked with Liberty Oilfield Services in the technology team in Denver, prior to which he worked as a field engineer in TX, ND, and CO as a part of his internship. He also has experience working as a petroleum engineering consultant in Houston, TX. Ayush holds a PhD in petroleum engineering with a minor in computer science from Colorado School of Mines, and is an active member of the Society of Petroleum Engineers. Sribharath Kainkaryam leads a team of data scientists and data engineers at TGS. Prior to joining TGS in 2018, he was a research scientist working on imaging and velocity model building challenges at Schlumberger. He graduated with a masters in computational geophysics from Purdue University and has an undergraduate degree from the Indian Institute of Technology, Kharagpur. Srimoyee Bhattacharya is a reservoir engineer in the Permian asset team in the Shell Exploration and Production Company. She has over 11 years of combined academic and professional experience in the oil and gas industry. She has worked in reservoir modeling, enhanced oil recovery, history matching, fracture design, production optimization, proxy modelling, and applications of multivariate analysis methods. She also worked with Halliburton as a research intern on digitalization
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