Published 1986
| Version v1
Book
An artificial intelligence approach to well log correlation
Creators
Description
This paper shows how an expert computer system was developed to correlate two well logs in at least moderately difficult situations. A four step process was devised to process log trace information and apply a set of rules to identify zonal correlations. Some of the advantages and problems with the artificial intelligence approach are shown using field logs. The approach is useful and, if properly and systematically applied, it can result in good correlations
Additional details
Publishing Information
- Publisher
- Society of Professional Well Log Analysts Inc.
- Imprint Place
- Houston, TX (USA)
- Imprint Title
- Proceedings of the twenty-seventh annual logging symposium
- Journal Page Range
- p. 21.
Conference
- Title
- 27. annual logging symposium of the Society of Professional Well Log Analysts.
- Dates
- 9-13 Jun 1986.
- Place
- Houston, TX (USA).
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 18042689
- Subject category
- S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; S99: GENERAL AND MISCELLANEOUS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ARTIFICIAL INTELLIGENCE; COMPUTER CALCULATIONS; CORRELATIONS; DATA PROCESSING; EXPERT SYSTEMS; GEOLOGIC DEPOSITS; NATURAL GAS; ON-LINE CONTROL SYSTEMS; PETROLEUM; RADIOACTIVE TRACER LOGGING; WELL LOGGING EQUIPMENT
- Descriptors DEC
- CONTROL SYSTEMS; ENERGY SOURCES; EQUIPMENT; FLUIDS; FOSSIL FUELS; FUEL GAS; FUELS; GASES; ISOTOPE APPLICATIONS; ON-LINE SYSTEMS; RADIOACTIVITY LOGGING; TRACER TECHNIQUES; WELL LOGGING