RISK REDUCTION WITH A FUZZY EXPERT EXPLORATION TOOL

Balch, Robert S. ; Broadhead, Ron

New Mexico Institute of Mining and Technology (United States)

关键词: 02 Petroleum;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;    Petroleum Deposits;    Exploration;    Neural Networks;   

DOI  :  10.2172/841420
RP-ID  :  NONE
RP-ID  :  AC26-99BC15218
RP-ID  :  841420

美国|英语

来源: UNT Digital Library

【 摘 要 】

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 treatment of imprecise or non-explicit parameters and values. Oil prospecting risk has been reduced with the use of these properly verified and validated ''Fuzzy Expert Exploration (FEE) Tools.'' Through the course of this project, FEE Tools and supporting software were developed for two producing formations in southeast New Mexico. Tools of this type can be beneficial in many regions of the U.S. by enabling risk reduction in oil and gas prospecting as well as decreased prospecting and development costs. In today's oil industry environment, many smaller exploration companies lack the resources of a pool of expert exploration personnel. Downsizing, volatile oil prices, and scarcity of domestic exploration funds have also affected larger companies, and will, with time, affect the end users of oil industry products in the U.S. as reserves are depleted. The FEE Tools benefit a diverse group in the U.S., allowing a more efficient use of scarce funds, and potentially reducing dependence on foreign oil and providing lower product prices for consumers.