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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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    07122-23-PFS-Expert_System_Analysis_Design_Prediction_Gas_Production_Shales-07-06-12.pdf
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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
Is NETL associated Yes
NETL Point of Contact Roy Long
NETL Point of Contact's Email Roy.Long@netl.doe.gov
NETL program or project Unconventional