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

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.

Data and Resources

Field Value
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\""
Groups
  • AmeriGEOSS
  • Global Provider
Tags
  • 07122-23
  • amerigeo
  • amerigeoss
  • ckan
  • edx
  • energy
  • energy-data-exchange
  • fact-sheet
  • geo
  • geoss
  • global
  • unconventional
isopen True
license_id cc-by
license_title Creative Commons Attribution
license_url http://www.opendefinition.org/licenses/cc-by
metadata_created 2025-11-25T21:49:06.468408
metadata_modified 2025-11-25T21:49:06.468412
notes 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.
num_resources 1
num_tags 12
title A Self-Teaching Expert System for the Analysis, Design and Prediction of Gas Production from Shales