SORCES - A Statistically Oriented Reservoir Comparison and Evaluation System. Multivariate Interrelationships in Heterogeneous Reservoir Systems for EOR Prediction and Assessment. Phase 1. The Concept, Proposed Methodology, and Pi

摘要

The objectives of this research are: (1) develop capabilities to describe reservoir heterogeneity patterns in sufficient detail to model and predict their effects on enhanced oil recovery EOR; (2) improve EOR theory and performance predictability using the steadily accumulating body of knowledge from completed and ongoing field tests; and (3) investigate additional modeling techniques, especially multivariate, probabilistic statistical approaches, to support deterministic prediction methods. The proposed approach is to use multivariate statistical analysis techniques to develop two descriptive/predictive models. The first, a Geosystem Types Model, would quantitatively address reservoir heterogeneity, and the second, an EOR Performance Probability Path Model, would quantitatively address EOR performance using reservoir descriptive and process design data. A principal emphasis in both these models is that the resulting predictions will be probabilistic rather than deterministic and will be based on statistical treatment of empirical observations. These two models are being developed under a unified concept which GURC calls SORCES - a Statistically Oriented Reservoir Comparison and Evaluation System. The product goal is a computer-interactive decision support system, patterned after the emerging expert system concept. The research design of this project is segmented into three consecutive implementation phases. This report presents the results of Phase 1 of SORCES. The objectives of Phase 1 are as follows: (1) concept development of the two models; (2) development of multivariate statistical methodologies to be used for generating the two models; and (3) pilot-scale testing and evaluation of such methodologies. The results of Phase 1 test was promising. 30 references, 17 figures, 9 tables. (ERA citation 09:018045)