Multi-model approach to petroleum resource appraisal using analytic methodologies for probabilistic systems
The geologic appraisal model that is selected for a petroleum resource assessment depends upon purpose of the assessment, basic geologic assumptions of the area, type of available data, time available before deadlines, available human and financial resources, available computer facilities, and, most importantly, the available quantitative methodology with corresponding computer software and any new quantitative methodology that would have to be developed. Therefore, different resource assessment projects usually require different geologic models. Also, more than one geologic model might be needed in a single project for assessing different regions of the study or for cross-checking resource estimates of the area. Some geologic analyses used in the past for petroleum resource appraisal involved play analysis. The corresponding quantitative methodologies of these analyses usually consisted of Monte Carlo simulation techniques. A probabilistic system of petroleum resource appraisal for play analysis has been designed to meet the following requirements: (1) includes a variety of geologic models, (2) uses an analytic methodology instead of Monte Carlo simulation, (3) possesses the capacity to aggregate estimates from many areas that have been assessed by different geologic models, and (4) runs quickly on a microcomputer. Geologic models consist of four basic types: reservoir engineering, volumetric yield, field size, and direct assessment. Several case histories and present studies by the US Geological Survey are discussed.
- Research Organization:
- Geological Survey, Denver, CO (USA)
- OSTI ID:
- 6440375
- Report Number(s):
- CONF-8704137-
- Journal Information:
- J. Int. Assoc. Math. Geol.; (United States), Vol. 20:8; Conference: MGUS '87, Redwood City, CA, USA, 13 Apr 1987
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
PETROLEUM DEPOSITS
RESOURCE ASSESSMENT
ANALYTICAL SOLUTION
ASSOCIATED GAS
COMPUTERIZED SIMULATION
F CODES
GEOLOGIC MODELS
GEOLOGY
MONTE CARLO METHOD
OIL YIELDS
PROBABILISTIC ESTIMATION
PROBABILITY
RESERVOIR ENGINEERING
SIZE
STATISTICAL MODELS
COMPUTER CODES
ENGINEERING
FLUIDS
GASES
GEOLOGIC DEPOSITS
MATHEMATICAL MODELS
MINERAL RESOURCES
RESOURCES
SIMULATION
YIELDS
020100* - Petroleum- Reserves- (-1989)