Data-driven analytics for the geological storage of CO2 / Shahab D. Mohaghegh

Author: Mohaghegh, Shahab D.
Published: Boca Raton, FL : CRC Press, Taylor & Francis Group, [2018]
Physical Description: xix, 282 pages : illustrations (some colour), maps ; 25 cm

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Contents

Storage of CO2 in geological formations -- Petroleum data analytics -- Smart proxy modeling -- CO2 storage in depleted gas reservoirs -- CO2 storage in saline aquifers -- CO2 storage in shale using smart proxy -- CO2-EOR as a storage mechanism -- Leak detection in CO2 storage sites.

Summary

"Data-driven analytics is enjoying unprecedented popularity among oil and gas professionals. A large number of reservoir engineering problems associated with geological storage of CO2 require development of numerical reservoir simulation models. The numerical models are used to understand the impact of injection of CO2 in saline aquifers, depleted oil and gas reservoirs, as well as CO2-EOR projects. This book discusses application of data-driven analytics to geological storage of CO2. It explains the technology that allows for uncertainty quantification and optimization of CO2 storage projects. It also deals with actual case studies from Australia and the United States"--

Subject(s)

ISBN

9781138197145 (hardback ; alk. paper)
1138197149
9781315280813 (ebook ; alk. paper)

Bibliography Note

Includes bibliographical references and index.

View MARC record | catkey: 24770326