£131.79

Gulf Professional Publishing Sustainable Geoscience for Natural Gas SubSurface Systems (The Fundamentals and Sustainable Advances in Natural Gas Science and Eng)

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Description

Product Description Sustainable Geoscience for Natural Gas SubSurface Systems delivers many of the scientific fundamentals needed in the natural gas industry, including coal-seam gas reservoir characterization and fracture analysis modeling for shale and tight gas reservoirs. Advanced research includes machine learning applications for well log and facies analysis, 3D gas property geological modeling, and X-ray CT scanning to reduce environmental hazards. Supported by corporate and academic contributors, along with two well-distinguished editors, the book gives today’s natural gas engineers both fundamentals and advances in a convenient resource, with a zero-carbon future in mind. Review Helps readers advance natural gas engineering and operations with a look towards a zero-carbon future From the Back Cover <p>Natural gas has an opportunity to play a positive role in aiding the energy transition towards a zero-carbon future. Engineers, students, and researchers need to be equipped with fundamental scientific and engineering skills involving natural gas while gaining insights that address this globally important issues. A new book series, <i>The Fundamentals and Sustainable Advances in Natural Gas Science and Engineering</i> is structured to provide these required skills and insights, with each volume broken down by industry sector. The second volume in the series, <i>Sustainable Geoscience for Natural Gas Sub-Surface Systems</i> delivers many of the scientific fundamentals needed in the natural gas industry including coal-seam gas reservoir characterization and fracture analysis modelling for shale and tight gas reservoirs. Advanced research includes machine learning applications for well log and facies analysis, 3D gas property geological modeling, and X-ray CT scanning to reduce environmental hazards. Supported by corporate and academic contributors along with two well-distinguished Editors, <i>Sustainable Geoscience for Natural Gas Sub-Surface Systems</i> gives today’s natural gas engineers the fundamentals and advances together in one convenient location with a zero-carbon future in mind.</p> About the Author Dr. David Wood has more than forty years of international oil and gas experience spanning technical and commercial exploration and production operations, midstream and downstream projects, contract evaluation and senior corporate management. For the past two decades, David has worked as an independent international consultant, researcher, training provider and expert witness. He has published an extensive body of work including some 350 publications and four books. He frequently acts as an advisor and/or trainer to governments and companies on many technical and commercial aspects of the oil and gas industry through his consultancy, DWA Energy Limited. He has extensive editorial experience as a founding editor of Elsevier’s Journal of Natural Gas Science & Engineering in 2008/9 then serving as Editor-in-Chief for that journal from 2013 to 2016. David obtained his PhD from Imperial College, London (U.K.) and worked as a post-doctoral research fellow in the Institute de Physique du Globe (Paris, France) and Birmingham University (U.K.). Jianchao Cai received his B.Sc in Physics from Henan Normal University and MSc and Ph.D in Condensed Matter Physics from Huazhong University of Science and Technology. He is currently a professor at the Institute of Geophysics and Geomatics at the China University of Geosciences (Wuhan). Meanwhile, he serves as Associate Editor or Editorial member for several journals including Journal of Natural Gas Science & Engineering, International Journal of Oil, Gas and Coal Technology, Fractals. He has published more than 130 journal articles, two books, and numerous book chapters.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
01 November 2021
Listed Since
30 April 2021

Barcode

No barcode data available

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