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Determination of lithology from well logs by statistical analysis

Journal Article · · SPE (Society of Petroleum Engineers) Format. Eval.; (United States)
DOI:https://doi.org/10.2118/14301-PA· OSTI ID:5537199
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This paper presents a method of predicting lithology by statistical analysis of wireline log measurements with calibration to a core lithology standard. Although an example of the technique applied to the Shublik formation of the Prudhoe Bay area, North Slope, AK, is developed and presented, the method can be applied to any field where some core has been taken. The Shublik, a complex mixture of seven clastic and carbonate rock types, presents a common problem: how can the rock lithology best be identified from wireline logs. During recent work on the reservoir description of the Shublik, it became necessary to answer this question. A lithology standard must be available to calibrate against during development of a log model of lithology. For the Shublik, the core available provided an excellent sample of the total formation. Using the statistical technique of discriminant analysis, we were able to evaluate a number of log models and to choose the mot appropriate one. The final log model chosen for the Shublik formation works quite well and correctly predicts lithology 75% of the time.
Research Organization:
Arco Alaska Inc.
OSTI ID:
5537199
Journal Information:
SPE (Society of Petroleum Engineers) Format. Eval.; (United States), Journal Name: SPE (Society of Petroleum Engineers) Format. Eval.; (United States) Vol. 2:4; ISSN SFEVE
Country of Publication:
United States
Language:
English

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Related Subjects

02 PETROLEUM
020200* -- Petroleum-- Reserves
Geology
& Exploration
03 NATURAL GAS
030200 -- Natural Gas-- Reserves
Geology
& Exploration
ARCTIC OCEAN
BAYS
BEAUFORT SEA
CARBONATE ROCKS
DATA ANALYSIS
DRILL CORES
EXPLORATION
GEOLOGIC DEPOSITS
GEOLOGIC MODELS
GEOPHYSICS
LITHOLOGY
MATHEMATICAL MODELS
MATHEMATICS
MINERAL RESOURCES
NATURAL GAS DEPOSITS
PETROLEUM DEPOSITS
PRUDHOE BAY
RESERVOIR ROCK
RESOURCES
ROCKS
SEAS
SEDIMENTARY ROCKS
STATISTICS
SURFACE WATERS
WELL LOGGING