Shale Analytics
Shale Analytics

Author: Shahab D. Mohaghegh

Publisher: Springer

Published: 2017-02-09

Total Pages: 292

ISBN-13: 3319487531

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This book describes the application of modern information technology to reservoir modeling and well management in shale. While covering Shale Analytics, it focuses on reservoir modeling and production management of shale plays, since conventional reservoir and production modeling techniques do not perform well in this environment. Topics covered include tools for analysis, predictive modeling and optimization of production from shale in the presence of massive multi-cluster, multi-stage hydraulic fractures. Given the fact that the physics of storage and fluid flow in shale are not well-understood and well-defined, Shale Analytics avoids making simplifying assumptions and concentrates on facts (Hard Data - Field Measurements) to reach conclusions. Also discussed are important insights into understanding completion practices and re-frac candidate selection and design. The flexibility and power of the technique is demonstrated in numerous real-world situations.

Artificial Intelligence for Science and Engineering Applications
Artificial Intelligence for Science and Engineering Applications

Author: Shahab D. Mohaghegh

Publisher: CRC Press

Published: 2024-04-01

Total Pages: 198

ISBN-13: 1040003982

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Artificial Intelligence (AI) is defined as the simulation of human intelligence through the mimicking of the human brain for analysis, modeling, and decision‐making. Science and engineering problem solving requires modeling of physical phenomena, and humans approach the solution of scientific and engineering problems differently from other problems. Artificial Intelligence for Science and Engineering Applications addresses the unique differences in how AI should be developed and used in science and engineering. Through the inclusion of definitions and detailed examples, this book describes the actual and realistic requirements as well as what characteristics must be avoided for correct and successful science and engineering applications of AI. This book: • Offers a brief history of AI and covers science and engineering applications • Explores the modeling of physical phenomena using AI • Discusses explainable AI (XAI) applications • Covers the ethics of AI in science and engineering • Features real‐world case studies Offering a probing view into the unique nature of scientific and engineering exploration, this book will be of interest to generalists and experts looking to expand their understanding of how AI can better tackle and advance technology and developments in scientific and engineering disciplines.

Multifrequency Electromagnetic Data Interpretation for Subsurface Characterization
Multifrequency Electromagnetic Data Interpretation for Subsurface Characterization

Author: Siddharth Misra

Publisher: Elsevier

Published: 2021-07-13

Total Pages: 384

ISBN-13: 0128214554

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Multifrequency Electromagnetic Data Interpretation for Subsurface Characterization focuses on the development and application of electromagnetic measurement methodologies and their interpretation techniques for subsurface characterization. The book guides readers on how to characterize and understand materials using electromagnetic measurements, including dielectric permittivity, resistivity and conductivity measurements. This reference will be useful for subsurface engineers, petrophysicists, subsurface data analysts, geophysicists, hydrogeologists, and geoscientists who want to know how to develop tools and techniques of electromagnetic measurements and interpretation for subsurface characterization. - Includes case studies to add additional color to the presented content - Provides codes for the mechanistic modeling of multi-frequency conductivity and relative permittivity of porous geomaterials - Presents detailed descriptions of multifrequency electromagnetic data interpretation models and inversion algorithm

Bulletin
Bulletin

Author: United States. Bureau of Mines

Publisher:

Published: 1938

Total Pages: 1212

ISBN-13:

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The USGS Reference Sample Devonian Ohio Shale SDO-1
The USGS Reference Sample Devonian Ohio Shale SDO-1

Author: Jean S. Kane

Publisher:

Published: 1993

Total Pages: 112

ISBN-13:

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This publication presents a collection of detailed analytical procedures used by some of the laboratories whose data was used to derive recommended concentrations for SDO-1 as a geochemical reference sample, and outlines the statistical evaluation used in the derivation of those concentrations from the total data base.