Multi-model approach to petroleum resource appraisal using analytic methodologies for probabilistic systems

Mathematical Geology
By:

Links

Abstract

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 U.S. Geological Survey are discussed. ?? 1988 International Association for Mathematical Geology.
Publication type Article
Publication Subtype Journal Article
Title Multi-model approach to petroleum resource appraisal using analytic methodologies for probabilistic systems
Series title Mathematical Geology
DOI 10.1007/BF00892972
Volume 20
Issue 8
Year Published 1988
Language English
Publisher location Kluwer Academic Publishers-Plenum Publishers
Larger Work Type Article
Larger Work Subtype Journal Article
Larger Work Title Mathematical Geology
First page 955
Last page 972
Google Analytic Metrics Metrics page
Additional publication details