４Ｄ震探データを取り込んだ油層シミュレーション

Abstract

Time-lapse seismic changes can be compared with pressure and/or saturation changes derived from a flow simulator by using petro-elastic model. As the number of seismic data is huge and it has a 3D character, it is expected to be a great help to condition the reservoir model. An (automated) history matching loop comprises the following four stages: 1) parameterization, 2) objective function definition, 3) optimization and 4) loop-stopping criterion. Focusing the objective function, the brief explanation of some element technology is done. With the introduction of time-lapse seismic as an additional constraint, history matching is performed to construct a more reliable reservoir model, which can be used to predict a future oil production.The impact of data integration on production forecasting uncertainty is analyzed. The synthetic model used representative for a gravity fault system, such as East flank of Statfjord field. By changing the constraining data, i. e. time-lapse seismic and production data, its impact on the probability density function (pdf) of the future cumulative oil production (FCOP) can be quantified. The variance of FCOP-pdf is reduced and the maximum pdf value is increased by adding extra information to the reservoir model. For this specific synthetic model, the seismic data gives a reservoir model with a higher probability than the production data. The most probable models are obtained when conditioning the reservoir model with both types of data.