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

fYear

2005

fDate

15-17 Aug. 2005

Firstpage

362

Lastpage

367

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Reuse and Integration, Conf, 2005. IRI -2005 IEEE International Conference on.

Print_ISBN

0-7803-9093-8

Type

conf

DOI

10.1109/IRI-05.2005.1506500

Filename

1506500