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Dynamics of Hydrocarbon Migration Quantitative Dynamics Studies and Applications

Title
Dynamics of Hydrocarbon Migration [electronic resource] : Quantitative Dynamics Studies and Applications / by Xiaorong Luo, Likuan Zhang, Yuhong Lei, Wan Yang.
ISBN
9789811955341
Edition
1st ed. 2023.
Publication
Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Physical Description
1 online resource (VIII, 390 p.) 192 illus., 158 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book presents the authors' research findings on the dynamics of oil migration, research methodologies, insights and applications in petroliferous basins. It studies the behaviors of oil migration in porous media through physical experiments and numerical simulations, explores the mechanism of oil migration and effects of migration process, and then establishes a migration modeling method by coupling the source, driving forces and carriers. The new method can be used to estimate the amount of migrated hydrocarbons and then predict the location of possible hydrocarbon accumulations in different parts of a basin. This approach is useful for resources assessment and prediction of the distribution of hydrocarbon accumulations. An example utilizing this methodology is presented to study the dynamics of migration and accumulation processes in the southern slope of Dongying Depression in Bohai Bay Basin in China. The book appeals to scientists and professionals working on petroleum prospecting as well as faculty and students in petroleum geology.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
August 11, 2023
Contents
Introduction
Mechanisms and processes of petroleum migration
Carrier systems and their characterization
Efficiencies of migration and accumulation and resources assessing
Case study: dynamic study on petroleum migration and accumulation in the Dongying Depression, Bohaiba Basin.
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