This paper presents challenges encountered during reservoir modeling and simulation, while demonstrating that the ultimate solution for these challenges can be approached in a Big Data (BD) framework using a combination of physics- and analytics-based approaches.

Keywords:
Artificial Intelligence, computational operator, data mining, unconventional resource economics, information, computational domain, Energy Economics, Upstream Oil & Gas, formation property, reservoir domain
Subjects:
Energy Economics, Information Management and Systems, Unconventional resource economics, Data mining, Artificial intelligence
Copyright 2014, Society of Petroleum Engineers
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