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Adaptive approach to petroleum reservoir simulation
Record Type:
Electronic resources : Monograph/item
Title/Author:
Adaptive approach to petroleum reservoir simulationby Stanislav Ursegov, Armen Zakharian.
Author:
Ursegov, Stanislav.
other author:
Zakharian, Armen.
Published:
Cham :Springer International Publishing :2021.
Description:
ix, 86 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
PetroleumProspecting
Online resource:
https://doi.org/10.1007/978-3-030-67474-8
ISBN:
9783030674748$q(electronic bk.)
Adaptive approach to petroleum reservoir simulation
Ursegov, Stanislav.
Adaptive approach to petroleum reservoir simulation
[electronic resource] /by Stanislav Ursegov, Armen Zakharian. - Cham :Springer International Publishing :2021. - ix, 86 p. :ill. (some col.), digital ;24 cm. - Advances in oil and gas exploration & production,2509-372X. - Advances in oil and gas exploration & production..
Introduction -- Value of information for reservoir simulation -- Contrasts between adaptive and deterministic models -- Alternatives for mathematical apparatus of adaptive simulation - neural networks and fuzzy logic -- Adaptive geological modeling -- Adaptive hydrodynamic modeling -- Adaptive forecasting -- Adaptive software system Cervart -- Conclusion.
This book presents unique features of the adaptive modeling approach based on new machine learning algorithms for petroleum exploration, development, and production. The adaptive approach helps simulation engineers and geoscientists to create adequate geological and hydrodynamic models. This approach is proven to be a real alternative to traditional techniques, such as deterministic modeling. Currently, machine-learning algorithms grow in popularity because they provide consistency, predictiveness, and convenience. The primary purpose of this book is to describe the theoretical state of the adaptive approach and show some examples of its implementation in simulation and forecasting different reservoir processes.
ISBN: 9783030674748$q(electronic bk.)
Standard No.: 10.1007/978-3-030-67474-8doiSubjects--Topical Terms:
206387
Petroleum
--Prospecting
LC Class. No.: TN271.P4 / U774 2021
Dewey Class. No.: 622.1828
Adaptive approach to petroleum reservoir simulation
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by Stanislav Ursegov, Armen Zakharian.
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Introduction -- Value of information for reservoir simulation -- 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.
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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.
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Earth and Environmental Science (SpringerNature-11646)
based on 0 review(s)
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000000195726
電子館藏
1圖書
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EB TN271.P4 U82 2021 2021
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1 records • Pages 1 •
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https://doi.org/10.1007/978-3-030-67474-8
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