Abstract

This paper presents the study of an integrated approach to reservoir description as a part of the DOE-Class I Projects to improve the oil recovery from a mature oil field. The field selected is the Self Unit of the Glenn Pool Field that covers 160 acres. An integrated reservoir description was constructed which honors the geological, geophysical, and engineering data using geostatistical (stochastic) as well as the deterministic models. The description was validated by comparing the simulated results with static (well log and well core) as well as dynamic (well test) information.

Both stochastic and deterministic models replicate the geological model very well. The deterministic model predicts an optimistic performance, whereas the stochastic model follows the field data much better. The incorporation of geophysical information, taken from tomography surveys, improves the reservoir description when comparing with the observed well test information.

Using the description from each of the models, the flow simulations were conducted to match the historical performance and to predict the future production. Based on the flow simulation and the economic analysis, the plan of recompleting the wells along with an increase in the injection rate is found to be the most feasible solution to improve the performance of the Self Unit. The preliminary results from the implementation of this plan indicate expected results.