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Enhanced oil recovery : field planning and development strategies

作者: V Alvarado; E Manrique
出版商: Burlington, MA : Gulf Professional Pub./Elsevier, ©2010.
版本/格式:   電子書 : 文獻 : 英語所有版本和格式的總覽
資料庫:WorldCat
提要:
Enhanced-Oil Recovery (EOR) evaluations focused on asset acquisition or rejuvenation involve a combination of complex decisions, using different data sources. EOR projects have been traditionally associated with high CAPEX and OPEX, as well as high financial risk, which tend to limit the number of EOR projects launched. In this book, the authors propose workflows for EOR evaluations that account for different  再讀一些...
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類型/形式: Electronic books
其他的實體格式: Print version:
Alvarado, V. (Vladimir).
Enhanced oil recovery.
Burlington, MA : Gulf Professional Pub./Elsevier, ©2010
(DLC) 2010012466
(OCoLC)430842982
資料類型: 文獻, 網際網路資源
文件類型: 網路資源, 電腦資料
所有的作者/貢獻者: V Alvarado; E Manrique
ISBN: 9781856178563 1856178560
OCLC系統控制編碼: 647764718
描述: 1 online resource (xv, 192 pages) : illustrations, maps
内容: Introduction --
Part One: Methodology --
Conventional screening, Geological screening, Advanced screening, Evaluation of "soft variables", Performance prediction --
Part Two: Field Cases Type I: Lack of data and time constraints --
Case study A, Case study B, Case study C. --
Part Three: Field Cases II: Not enough time to use sufficient data --
Case study D, Case study E, Case study F.
責任: Vladimir Alvarado and Eduardo Manrique.

摘要:

Enhanced-Oil Recovery (EOR) evaluations focused on asset acquisition or rejuvenation involve a combination of complex decisions, using different data sources. EOR projects have been traditionally associated with high CAPEX and OPEX, as well as high financial risk, which tend to limit the number of EOR projects launched. In this book, the authors propose workflows for EOR evaluations that account for different volumes and quality of information. This flexible workflow has been successfully applied to oil property evaluations and EOR feasibility studies in many oil reservoirs. The methodology associated with the workflow relies on traditional (look-up tables, XY correlations, etc.) and more advanced (data mining for analog reservoir search and geology indicators) screening methods, emphasizing identification of analogues to support decision making. The screening phase is combined with analytical or simplified numerical simulations to estimate full-field performance by using reservoir data-driven segmentation procedures. Case Studies form Asia, Canada, Mexico, South America and the United States Assets evaluated include reservoir types ranging from oil sands to condensate reservoirs. Different stages of development and information availability are discussed.

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