Permeability estimation from log-derived porosity: I--Via fuzzy linear regression
- Univ. of Alabama, Tuscaloosa, AL (United States). Dept. of Geology
Traditional regression analysis has long been a powerful tool for predicting permeabilities from porosities. However, the agreement between the measured and calculated permeabilities needs to be improved. The authors have recently applied a fuzzy regression to this problem. Fuzzy regression is useful where the relationship between the variables is vague and/or when the data are imprecise. Fuzzy regression and traditional regression were used to obtain permeability values from log-derived porosity data from several wells in Chunchula field in southwest Alabama (Jurassic Smackover carbonate reservoir). Results obtained from using both traditional and fuzzy regression will be compared. The superiority of the latter method will be demonstrated.
- OSTI ID:
- 6077238
- Report Number(s):
- CONF-9304188--
- Journal Information:
- Geological Society of America, Abstracts with Programs; (United States), Journal Name: Geological Society of America, Abstracts with Programs; (United States) Vol. 25:4; ISSN GAAPBC; ISSN 0016-7592
- Country of Publication:
- United States
- Language:
- English
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