WATERFLOOD OPTIMATION ON AN INVERTED 7-SPOT PATTERN USING CORE, WELL LOG, AND SEISMIC DATA IN POPO AREA, MINAS FIELD, CENTRAL SUMATRA BASIN

摘要

Reservoir characterization involves the quantification, integration, reduction, and analysis of Geological, Petrophysical, Seismic and Engineering data. The principal goal of Reservoir characterization is to derive a spatial understanding of interval heterogeneity. The final product of this analysis (reservoir characterization) is a 3D reservoir model which is largely a function of a stratigraphic framework.rnInterpreted 3D reservoir model may give such important information to the next step of exploration or development for an oil company. In a development area for instance, we can choose using steamflood or waterflood (for a secondary recover method) etc., depending or considering the 3D reservoir model.rnThe research was held on an inverted 7-spot pattern in Popo Area, Minas Field. Waterflood method is used in the research area. This secondary method yields unsatisfying result, and from a Field Trial that was held before this research showed that there is still some areas have not been swept yet by the waterflood and there is still remaining oil which is economically potential. Why? That is a good question.rnThe purpose of this research is to discuss what the problem is and how to handle or optimize this kind of problem.rnThe research used three main data they are core, correlation wells, and 3D seismic data. Through the integration of these data we know that there is one main reason, which is the heterogeneity of thernreservoir. Stratigraphic and structural aspects are the main controller for the waterflood "dysfunction". To solve this problem, actually there is more than one option that can be considered, but the research focuses on one. That is an optimation well. The optimation well is made in the unswept area or zone, hoping that the potential remaining oil can be taken.