Assisted history matching for unconventional reservoirs /

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Bibliographic Details
Imprint:Cambridge, MA : Gulf Professional Publishing, 2021.
Description:1 online resource
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12631003
Hidden Bibliographic Details
Other authors / contributors:Tripoppoom, Sutthaporn.
ISBN:9780128222430
0128222433
9780128222423
0128222425
Notes:Includes index.
Print version record.
Other form:ebook version : 9780128222430
Original 0128222425 9780128222423
Print version: ASSISTED HISTORY MATCHING FOR UNCONVENTIONAL RESERVOIRS. [S.l.] : GULF PROFESSIONAL, 2021 0128222425
Description
Summary:<p>As unconventional reservoir activity grows in demand, reservoir engineers relying on history matching are challenged with this time-consuming task in order to characterize hydraulic fracture and reservoir properties, which are expensive and difficult to obtain. Assisted History Matching for Unconventional Reservoirs delivers a critical tool for today's engineers proposing an Assisted History Matching (AHM) workflow. The AHM workflow has benefits of quantifying uncertainty without bias or being trapped in any local minima and this reference helps the engineer integrate an efficient and non-intrusive model for fractures that work with any commercial simulator. Additional benefits include various applications of field case studies such as the Marcellus shale play and visuals on the advantages and disadvantages of alternative models. Rounding out with additional references for deeper learning, Assisted History Matching for Unconventional Reservoirs gives reservoir engineers a holistic view on how to model today's fractures and unconventional reservoirs.</p> Provides understanding on simulations for hydraulic fractures, natural fractures, and shale reservoirs using embedded discrete fracture model (EDFM) Reviews automatic and assisted history matching algorithms including visuals on advantages and limitations of each model Captures data on uncertainties of fractures and reservoir properties for better probabilistic production forecasting and well placement
Item Description:Includes index.
Physical Description:1 online resource
ISBN:9780128222430
0128222433
9780128222423
0128222425