Abstract
A reservoir modeling technique based on fractal geostatistics was used to interpret the displacement processes and to predict the response to a miscible-hydrocarbon water-alternating-gas (WAG) flood in a major portion of the Stage 1 project area of the Gilwood sand in the Mitsue field. The purpose was to compare projections based on geostatistical techniques with those based on conventional modeling and to compare the accuracy of the projections with current field measurements. Results indicate that a hybrid finite-difference/streamtube technique based on fractal representations can provide a full project model for an efficient expenditure of effort and computer time. Individual well response is predicted qualitatively. Analysis of tracer breakthrough and production logs agree with the solvent/water flow patterns predicted by the fractal model.
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