Date of Award
Fall 12-1986
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Ocean & Earth Sciences
Program/Concentration
Geology
Committee Director
Carl F. Koch
Committee Member
R. S. Spencer
Committee Member
Joseph Rule
Call Number for Print
Special Collections LD4331.G4C76
Abstract
A new method of detecting fractures using well logs is presented. The technique uses discriminant analysis to distinguish fractured from unfractured reservoir rock and was developed for the volcanic pay zone of Jatibarang oilfield, West Java, Indonesia.
The a priori information required to derive the discriminant function was provided by 22 wells known to penetrate intervals of either fractured or unfractured volcanics. The samples consisted of these 22 intervals digitized in one-meter increments (1256 meters total thickness). The discriminating variables were the petrophysical measurements made by 10 different types of well logs.
Discriminant analysis correctly classified 94.2% of the total volcanic interval as fractured or unfractured.
The resultant discriminant function can be applied during log analysis at the wellsite and aids in decisions regarding well testing and completion. The new technique can readily be extended to other fractured reservoirs
Rights
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DOI
10.25777/1srq-pr84
Recommended Citation
Cross, Joseph W..
"Fracture Detection in a Volcanic Oil Reservoir Using Discriminant Analysis of Well Log Data"
(1986). Master of Science (MS), Thesis, Ocean & Earth Sciences, Old Dominion University, DOI: 10.25777/1srq-pr84
https://digitalcommons.odu.edu/oeas_etds/200
Included in
Geology Commons, Oil, Gas, and Energy Commons, Volcanology Commons