| 书目名称 | Statistical Inversion of Electromagnetic Logging Data | | 编辑 | Qiuyang Shen,Jiefu Chen,Zhu Han | | 视频video | | | 概述 | Systematically discusses statistical inversion of electromagnetic logging data in oilfield drilling.Explains the innovative Bayesian inference and sampling methods used for statistical inversion.Inclu | | 丛书名称 | SpringerBriefs in Petroleum Geoscience & Engineering | | 图书封面 |  | | 描述 | .This book presents a comprehensive introduction to well logging and the inverse problem. It explores challenges such as conventional data processing methods’ inability to handle local minima issues, and presents the explanations in an easy-to-follow way. ..The book describes statistical data interpretation by introducing the fundamentals behind the approach, as well as a range of sampling methods. In each chapter, a specific method is comprehensively introduced, together with representative examples..The book begins with basic information on well logging and logging while drilling, as well as a definition of the inverse problem. It then moves on to discuss the fundamentals of statistical inverse methods, Bayesian inference, and a new sampling method that can be used to supplement it, the hybrid Monte Carlo method. The book then addresses a specific problem in the inversion of downhole logging data, and the interpretation of earth model complexity, before concluding with a meta-technique called the tempering method, which serves as a supplement to statistical sampling methods...Given its scope, the book offers a valuable reference guide for drilling engineers, well logging tool phy | | 出版日期 | Book 2021 | | 关键词 | Oilfield Services; Electromagnetic Well Logging; Data Science; Metropolois Hastings; Data Interpretation | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-57097-2 | | isbn_softcover | 978-3-030-57096-5 | | isbn_ebook | 978-3-030-57097-2Series ISSN 2509-3126 Series E-ISSN 2509-3134 | | issn_series | 2509-3126 | | copyright | The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 |
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发表于 2025-3-21 17:34:04
