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Watney, W. Lynn1, John H. Doveton1, Timothy R. Carr1, Geoffrey C. Bohling1, John Victorine1, J.P. Pakalapati1, Saibal Bhattacharya1, Alan P. Byrnes1, Glen Gagnon1, Ken Stalder1, Melissa Moore1, Martin K. Dubois1, Willard J. Guy1, Kurt Look1 
(1) Kansas Geological Survey, University of Kansas, Lawrence, KS

ABSTRACT: Collaborative Geo-Engineering Reservoir Characterization and Modeling on the Web

Public domain and proprietary digital warehousing of borehole logs and core analyses, production, and well tests have become increasingly available on the Web. These data set in motion new strategies to re-explore and re-develop mature areas to find bypassed, underproduced, and previously subtle and uneconomic pay. Web-based reservoir modeling software such as the public domain GEMINI (Geo-Engineering Modeling through Internet Informatics) establishes password-protected projects, workflow, and tutorials to help the online user gather data on-the-fly and perform real-time, interactive collaborative modeling of reservoirs. Java applets used in the applications require a minimal-sized PC and internet access. 
Initial screening of reservoir performance and prospective pay prediction can quickly narrow the search space to focus efforts toward enhanced recovery opportunities. Once targets are identified, collaborative users can perform integrated geologic and engineering modeling including iterative approaches and scenario testing. Software tools include core analysis modeling and log analysis, production and DST analysts, PVT, volumetrics, and material balance. The refined reservoir characterization and associated economics can be used to identify appropriate recovery technologies. Access to web-based modeling, particularly for small independent oil and gas producers, will encourage use of robust reservoir parameters and models in decision making and in fluid flow simulations. Additional functions in GEMINI provide the means to export intermediate results for use in other applications.

 

AAPG Search and Discovery Article #90026©2004 AAPG Annual Meeting, Dallas, Texas, April 18-21, 2004.