Smart Proxy Modeling: Artificial Intelligence and Machine Learning in Numerical Simulation

Mohaghegh, Shahab D.

Smart Proxy Modeling: Artificial Intelligence and Machine Learning in Numerical Simulation
  • 出版商: CRC
  • 出版日期: 2024-10-04
  • 售價: $2,410
  • 貴賓價: 9.5 折 $2,290
  • 語言: 英文
  • 頁數: 190
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032151153
  • ISBN-13: 9781032151151
  • 相關分類: 人工智慧、Machine Learning

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Smart proxy models provide an opportunity to replicate numerical simulations with very high accuracy and can be run on a laptop within a few minutes. This book focuses on smart proxy modeling and teaches readers to develop smart proxy models using artificial intelligence and machine learning.

商品描述(中文翻譯)

智慧代理模型提供了一個機會，可以以非常高的精確度複製數值模擬，並且可以在幾分鐘內在筆記型電腦上運行。本書專注於智慧代理建模，並教導讀者如何使用人工智慧和機器學習來開發智慧代理模型。

作者簡介

Shahab D. Mohaghegh, a pioneer in the application of Artificial Intelligence and Machine Learning in the Exploration and Production industry, is Professor of Petroleum and Natural Gas Engineering at West Virginia University (WVU) and the president and CEO of Intelligent Solutions, Inc. (ISI). He is the director of WVU-LEADS (Laboratory for Engineering Application of Data Science).

Including more than 30 years of research and development in the petroleum engineering application of Artificial Intelligence and Machine Learning, he has authored three books (Shale Analytics - Data Driven Reservoir Modeling - Application of Data-Driven Analytics for the Geological Storage of CO2), more than 230 technical papers and carried out more than 60 projects for independents, NOCs and IOCs. He is a SPE Distinguished Lecturer (2007 and 2020) and has been featured four times as the Distinguished Author in SPE's Journal of Petroleum Technology (JPT 2000 and 2005). He is the founder of SPE's Technical Section dedicated to AI and machine learning (Petroleum Data-Driven Analytics, 2011). He has been honored by the U.S. Secretary of Energy for his AI-based technical contribution in the aftermath of the Deepwater Horizon (Macondo) incident in the Gulf of Mexico (2011) and was a member of U.S. Secretary of Energy's Technical Advisory Committee on Unconventional Resources in two administrations (2008-2014). He represented the United States in the International Standard Organization (ISO) on Carbon Capture and Storage technical committee (2014-2016).

作者簡介(中文翻譯)

Shahab D. Mohaghegh 是人工智慧和機器學習在勘探與生產產業應用的先驅，現任西維吉尼亞大學（West Virginia University, WVU）石油與天然氣工程教授，以及 Intelligent Solutions, Inc.（ISI）的總裁兼執行長。他是 WVU-LEADS（數據科學工程應用實驗室）的主任。

擁有超過 30 年在石油工程領域應用人工智慧和機器學習的研究與開發經驗，他著有三本書（《Shale Analytics - Data Driven Reservoir Modeling - Application of Data-Driven Analytics for the Geological Storage of CO2》），發表超過 230 篇技術論文，並為獨立公司、國有公司和國際公司執行超過 60 個專案。他是 SPE 傑出講者（2007 年和 2020 年），並四度在 SPE 的《石油技術期刊》（Journal of Petroleum Technology, JPT 2000 和 2005）中被特別報導為傑出作者。他是 SPE 專門針對人工智慧和機器學習的技術部門的創始人（Petroleum Data-Driven Analytics, 2011）。他因在墨西哥灣深水地平線（Macondo）事件後的人工智慧技術貢獻而受到美國能源部長的表彰（2011 年），並在兩屆政府中擔任美國能源部長的非常規資源技術諮詢委員會成員（2008-2014 年）。他曾代表美國參加國際標準組織（ISO）碳捕集與儲存技術委員會（2014-2016 年）。

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