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Percolation theory in reservoir engi...
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King, P. R.
Percolation theory in reservoir engineering[electronic resource] /
紀錄類型:
書目-電子資源 : Monograph/item
杜威分類號:
622/.3382
書名/作者:
Percolation theory in reservoir engineering/ Peter R King, Mohsen Masihi.
作者:
King, P. R.
其他作者:
Masihi, Mohsen.
出版者:
London : : World Scientific Publishing Europe Ltd.,, c2019.
面頁冊數:
1 online resource (PDF, 300 p.) : : ill.
標題:
Oil reservoir engineering.
標題:
Soil percolation.
標題:
Percolation (Statistical physics)
ISBN:
9781786345240
ISBN:
1786345242
書目註:
Includes bibliographical references and index.
摘要、提要註:
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.
電子資源:
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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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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