A Self-Teaching Expert System for the Analysis, Design and Prediction of Gas Production from Shales (07122-23)

Lawrence Berkeley National Laboratory - Principal Investigator:  George Moridis

Objective:  Develop a self-teaching expert system, available as a Web application/computer program, that is located on Lawrence Berkeley National Laboratory servers and is distributable through the web, enables both "public" and "private" databases, continuously updates the databases and refines the underlying decision-making metrics and process (baseline mode) , in prediction mode, it enables the design of appropriate production systems, the operation and management of unconventional (tight) gas resources (UGR), and estimates uncertainties, and in optimization mode, it allows history matching and parameter identification from the data.
 
Period of Performance:  October 13, 2008 to April 30, 2011

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