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Volumn , Issue , 2011, Pages 274-287

Modeling, history matching, forecasting and analysis of shale reservoirs performance using artificial intelligence

Author keywords

[No Author keywords available]

Indexed keywords

DATA-DRIVEN MODEL; FIELD DEVELOPMENT; FLOW MECHANISMS; FOCAL POINTS; FULL-FIELD RESERVOIR MODEL; HISTORY MATCH; HISTORY MATCHING; HYDRAULIC FRACTURE; MATCHED MODELS; MATRIX; MULTI-STAGE; NATURAL FRACTURE; OIL AND GAS PRODUCTION; OPTIMUM DESIGNS; PRODUCTION PROCESS; RESERVOIR MODELS; SHALE FORMATION;

EID: 79959949070     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (28)

References (7)
  • 6
    • 79959925195 scopus 로고    scopus 로고
    • Top-Down Intelligent Reservoir Modeling (TDIRM); A New Approach in Reservoir Modeling by Integrating Classic Reservoir Engineering with Artificial Intelligence & Data Mining Techniques
    • Mohaghegh, S.D. 2009 "Top-Down Intelligent Reservoir Modeling (TDIRM); A New Approach In Reservoir Modeling By Integrating Classic Reservoir Engineering With Artificial Intelligence & Data Mining Techniques". AAPG 2009 Annual Convention and Exhibition. June 7-10, 2009. Denver, Colorado.
    • (2009) AAPG 2009 Annual Convention and Exhibition. June 7-10, 2009. Denver, Colorado
    • Mohaghegh, S.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.