Open AccessApplication of artificial intelligence to reservoir characterization: An interdisciplinary approach. Annual report, October 1, 1995--September 30, 1996
Author(s) -
D. Kerr,
L.G. Thompson,
S. Shenoi
Publication year - 1997
Language(s) - English
Resource type - Reports
DOI - 10.2172/513506
Subject(s) - component (thermodynamics) , computer science , focus (optics) , decomposition , geostatistics , systems engineering , reservoir modeling , scale (ratio) , expert system , artificial intelligence , data science , geology , engineering , petroleum engineering , geography , cartography , ecology , mathematics , statistics , physics , spatial variability , optics , biology , thermodynamics
We have decomposed the overall system development into smaller component parts to allow us to focus on the expert knowledge required for that component. In addition, the decomposition will facilitate the implementation of the system and its validation and verification. The three component systems will be representative of how each of the experts in geology, geostatistics, and engineering characterizes the reservoir. The concurrent development of these component systems fits into the development of the large and small scale aspects of the system as originally stated in the proposal