Title :
A fuzzy expert system for oil prospecting in the Lower Brushy Canyon of SE New Mexico
Author :
Ruan, Tongjun ; Balch, Robert ; Schrader, Susan
Author_Institution :
Pet. Recovery Res. Center, New Mexico Tech., NM, USA
Abstract :
This paper presents a fuzzy expert system, the fuzzy expert exploration tool (FEE tool), developed for oil prospecting in the Lower Brushy Canyon of SE New Mexico. It was developed using two types of rules, heuristic rules, generated directly from geophysical and geological databases, and expert rules developed through interviews with successful prospectors. Rules are applied in three categories, regional assessment, trap assessment, and formation assessment. The FEE tool uses a unique fuzzy inference method, and is available to users through the Internet using a Java capable Web browser. It is built on a three-tier model and is implemented using Java Applets and Java Servlets supported by Tomcat application server.
Keywords :
Internet; Java; expert systems; fuzzy reasoning; geographic information systems; geophysics computing; oil drilling; Internet; Java Applets; Java Servlets; Lower Brushy Canyon; SE New Mexico; Tomcat application server; expert rules; formation assessment category; fuzzy expert exploration tool; fuzzy expert system; fuzzy inference method; geological databases; geophysical databases; heuristic rules; oil prospecting; regional assessment category; trap assessment category; Artificial neural networks; Databases; Expert systems; Fuzzy logic; Geology; Hybrid intelligent systems; Hydrocarbon reservoirs; Java; Petroleum; Production;
Conference_Titel :
Information Reuse and Integration, Conf, 2005. IRI -2005 IEEE International Conference on.
Print_ISBN :
0-7803-9093-8
DOI :
10.1109/IRI-05.2005.1506500
