Risk Reduction With a Fuzzy Expert Exploration Tool
Description:
Incomplete or sparse information on types of data such as geologic or formation characteristics introduces 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. A state-of-the-art exploration ''expert'' tool, relying on a computerized database and computer maps generated by neural networks, is being developed through the use of ''fuzzy'' logic, a relatively new mathemat…
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Date:
April 8, 2004
Creator:
Balch, Robert
Partner:
UNT Libraries Government Documents Department