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Data-Driven Analytics for the Geological Storage of CO2 H 302 p. 18
Mohaghegh, Shahab
著
発行年月 |
2018年05月 |
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出版国 |
アメリカ合衆国 |
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言語 |
英語 |
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媒体 |
冊子 |
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装丁 |
hardcover |
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ページ数/巻数 |
302 p. |
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ジャンル |
洋書/理工学/総合・複合工学/エネルギー工学 |
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ISBN |
9781138197145 |
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商品コード |
1022212124 |
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本の性格 |
学術書 |
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新刊案内掲載月 |
2017年12月 |
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商品URL
| https://kw.maruzen.co.jp/ims/itemDetail.html?itmCd=1022212124 |
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内容
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.