Adaptive approach to petroleum reservoir simulation / Stanislav Ursegov, Armen Zakharian.
2021
TN271.P4
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Title
Adaptive approach to petroleum reservoir simulation / Stanislav Ursegov, Armen Zakharian.
Author
ISBN
9783030674748 (electronic book)
3030674746 (electronic book)
3030674738
9783030674731
3030674746 (electronic book)
3030674738
9783030674731
Published
Cham, Switzerland : Springer, [2021]
Language
English
Description
1 online resource (ix, 86 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-67474-8 doi
Call Number
TN271.P4
Dewey Decimal Classification
622/.1828
Summary
This book presents unique features of the adaptive modeling approach based on new machine learning algorithms for petroleum exploration, development, and production. The adaptive approach helps simulation engineers and geoscientists to create adequate geological and hydrodynamic models. This approach is proven to be a real alternative to traditional techniques, such as deterministic modeling. Currently, machine-learning algorithms grow in popularity because they provide consistency, predictiveness, and convenience. The primary purpose of this book is to describe the theoretical state of the adaptive approach and show some examples of its implementation in simulation and forecasting different reservoir processes.
Bibliography, etc. Note
Includes bibliographical references and index.
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Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 12, 2021).
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Series
Advances in oil and gas exploration & production, 2509-372X
Available in Other Form
Print version: 9783030674731
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Table of Contents
Introduction
Information capacity of initial data
Contrasts between adaptive and deterministic models
Alternatives for mathematical apparatus of adaptive simulation : neural networks and fuzzy logic
Adaptive geological modeling
Adaptive hydrodynamic modeling
Adaptive forecasting
Adaptive software system Cervart
Conclusion.
Information capacity of initial data
Contrasts between adaptive and deterministic models
Alternatives for mathematical apparatus of adaptive simulation : neural networks and fuzzy logic
Adaptive geological modeling
Adaptive hydrodynamic modeling
Adaptive forecasting
Adaptive software system Cervart
Conclusion.