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Percolation theory in reservoir engi...
~
King, P. R.
Percolation theory in reservoir engineering[electronic resource] /
纪录类型:
书目-电子资源 : Monograph/item
[NT 15000414] null:
622/.3382
[NT 47271] Title/Author:
Percolation theory in reservoir engineering/ Peter R King, Mohsen Masihi.
作者:
King, P. R.
[NT 51406] other author:
Masihi, Mohsen.
出版者:
London : : World Scientific Publishing Europe Ltd.,, c2019.
面页册数:
1 online resource (PDF, 300 p.) : : ill.
标题:
Oil reservoir engineering.
标题:
Soil percolation.
标题:
Percolation (Statistical physics)
ISBN:
9781786345240
ISBN:
1786345242
[NT 15000227] null:
Includes bibliographical references and index.
[NT 15000229] null:
This book aims to develop the ideas from fundamentals of percolation theory to practical reservoir engineering applications. Through a focus on field scale applications of percolation concepts to reservoir engineering problems, it offers an approximation method to determine many important reservoir parameters, such as effective permeability and reservoir connectivity and the physical analysis of some reservoir engineering properties. Starring with the concept of percolation theory, it then develops into methods to simple geological systems like sand-bodies and fractures. The accuracy and efficiency of the percolation concept for these is explained and further extended to more complex realistic models. Percolation Theory in Reservoir Engineering primarily focuses on larger reservoir scale flow and demonstrates methods that can be used to estimate large scale properties and their uncertainty, crucial for major development and investment decisions in hydrocarbon recovery.
电子资源:
https://
www.worldscientific.com/worldscibooks/10.1142/q0154#t=toc
Percolation theory in reservoir engineering[electronic resource] /
King, P. R.
Percolation theory in reservoir engineering
[electronic resource] /Peter R King, Mohsen Masihi. - 1st ed. - London :World Scientific Publishing Europe Ltd.,c2019. - 1 online resource (PDF, 300 p.) :ill.
Includes bibliographical references and index.
This book aims to develop the ideas from fundamentals of percolation theory to practical reservoir engineering applications. Through a focus on field scale applications of percolation concepts to reservoir engineering problems, it offers an approximation method to determine many important reservoir parameters, such as effective permeability and reservoir connectivity and the physical analysis of some reservoir engineering properties. Starring with the concept of percolation theory, it then develops into methods to simple geological systems like sand-bodies and fractures. The accuracy and efficiency of the percolation concept for these is explained and further extended to more complex realistic models. Percolation Theory in Reservoir Engineering primarily focuses on larger reservoir scale flow and demonstrates methods that can be used to estimate large scale properties and their uncertainty, crucial for major development and investment decisions in hydrocarbon recovery.
ISBN: 9781786345240Subjects--Topical Terms:
444863
Oil reservoir engineering.
LC Class. No.: TN870.57
Dewey Class. No.: 622/.3382
Percolation theory in reservoir engineering[electronic resource] /
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Includes bibliographical references and index.
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This book aims to develop the ideas from fundamentals of percolation theory to practical reservoir engineering applications. Through a focus on field scale applications of percolation concepts to reservoir engineering problems, it offers an approximation method to determine many important reservoir parameters, such as effective permeability and reservoir connectivity and the physical analysis of some reservoir engineering properties. Starring with the concept of percolation theory, it then develops into methods to simple geological systems like sand-bodies and fractures. The accuracy and efficiency of the percolation concept for these is explained and further extended to more complex realistic models. Percolation Theory in Reservoir Engineering primarily focuses on larger reservoir scale flow and demonstrates methods that can be used to estimate large scale properties and their uncertainty, crucial for major development and investment decisions in hydrocarbon recovery.
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https://www.worldscientific.com/worldscibooks/10.1142/q0154#t=toc
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