Multi-Objective History Matching with a Proxy Model for the Characterization of Production Performances at the Shale Gas Reservoir

Multi-Objective History Matching with a Proxy Model for the Characterization of Production Performances at the Shale Gas Reservoir

This paper presents a fast, reliable multi-objective history-matching method based on proxy modeling to forecast the production performances of shale gas reservoirs for which all available post-hydraulic-fracturing production data, i.e., the daily gas rate and cumulative-production volume until the...

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Bibliographic Details
Main Authors: Jaejun Kim, Joe M. Kang, Changhyup Park, Yongjun Park, Jihye Park, Seojin Lim
Format: Article
Language:English
Published: MDPI AG 2017-04-01
Series:Energies
Subjects:
multi-objective history matching
fast marching method
distance-based generalized sensitivity analysis
shale gas
hydraulic fracturing
Online Access:http://www.mdpi.com/1996-1073/10/4/579

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http://www.mdpi.com/1996-1073/10/4/579

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