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

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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. Continuous updates to the databases and refine 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), estimates uncertainties in optimization mode. It allows history matching and parameter identification from the data.

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Last Updated July 25, 2018, 03:25 (EDT)
Created July 25, 2018, 03:25 (EDT)
Citation Chad Rowan, A Self-Teaching Expert System for the Analysis, Design and Prediction of Gas Production from Shales, 2018-07-25, https://edx.netl.doe.gov/dataset/a-self-teaching-expert-system-for-the-analysis-design-and-prediction-of-gas-production-from-shales
Netl Product yes
Poc Email Roy.Long@netl.doe.gov
Point Of Contact Roy Long
Program Or Project Unconventional