Reservoir performance prediction methods based on fractal geostatistics
Journal Article
·
· SPE (Society of Petroleum Engineers) Reservoir Engineering; (USA)
- Chevron Oil Field Research Co. (US)
This paper describes a method for blending fractal statistics, detailed geologic data, finite-difference simulation, and streamtube models into a systematic approach for prediction of reservoir performance. The objectives to make accurate predictions for large-scale projects by detailed accounting of reservoir heterogeneity with reduced history-matching effort at a low overall cost. The method has been tested for waterflood and miscible gas injection projects with balance injection/production volumes. Example applications are shown for four field cases.
- OSTI ID:
- 5629440
- Journal Information:
- SPE (Society of Petroleum Engineers) Reservoir Engineering; (USA), Journal Name: SPE (Society of Petroleum Engineers) Reservoir Engineering; (USA) Vol. 4:3; ISSN SREEE; ISSN 0885-9248
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
02 PETROLEUM
020200 -- Petroleum-- Reserves
Geology
& Exploration
020300* -- Petroleum-- Drilling & Production
DATA ANALYSIS
ENHANCED RECOVERY
EVALUATION
FINITE DIFFERENCE METHOD
FLUID INJECTION
GAS INJECTION
GEOLOGIC SURVEYS
INJECTION WELLS
ITERATIVE METHODS
MISCIBLE-PHASE DISPLACEMENT
NUMERICAL SOLUTION
OIL WELLS
PERFORMANCE
PRODUCTIVITY
RECOVERY
SURVEYS
TECHNOLOGY ASSESSMENT
WATERFLOODING
WELLS
020200 -- Petroleum-- Reserves
Geology
& Exploration
020300* -- Petroleum-- Drilling & Production
DATA ANALYSIS
ENHANCED RECOVERY
EVALUATION
FINITE DIFFERENCE METHOD
FLUID INJECTION
GAS INJECTION
GEOLOGIC SURVEYS
INJECTION WELLS
ITERATIVE METHODS
MISCIBLE-PHASE DISPLACEMENT
NUMERICAL SOLUTION
OIL WELLS
PERFORMANCE
PRODUCTIVITY
RECOVERY
SURVEYS
TECHNOLOGY ASSESSMENT
WATERFLOODING
WELLS