Risk Reduction With a Fuzzy Expert Exploration Tool
Description:
Incomplete or sparse data such as geologic or formation characteristics introduce a high level of risk for oil exploration and development projects. ''Expert'' systems developed and used in several disciplines and industries have demonstrated beneficial results when working with sparse data. State-of-the-art expert exploration tools, relying on a database, and computer maps generated by neural networks and user inputs, have been developed through the use of ''fuzzy'' logic, a mathematical treat…
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Date:
March 1, 2005
Creator:
Balch, Robert S. & Broadhead, Ron
Partner:
UNT Libraries Government Documents Department