The characteristics of high-density sampling of seismic data and well data in the horizontal and vertical directions are integrated to construct the reservoir model for the Section B of a gas field of China. Firstly, the well-to-seismic integration calibration is used to interpret the fine structure, and the accurate velocity model is adopted to set up a bridge between the time domain of seismic data and depth domain of well data. Secondly, the reservoir structural model is built by well correlation under the constraint of the fault and horizon from seismic interpretation. Thirdly, a co-simulation method is developed to forecast the sand distribution, in which well data is the master variable and the lithology probability from seismic inversion is the second variable. The facies model is built on the basis of sand distribution model. Finally, the model of petro-physical property is built under the constraint of the facies model. Appliction has indicated that reservoir modeling with well-to-seismic integration is more accurate in terms of fault and sand body prediction between wells, thereby the improvement of accuracy of the reservoir model.
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