Application of Facies-controlled Modeling in Reservoir Prediction of Sublacustrine Fan

With the strengthening of the oil and gas exploration and expanding resources backup reserves in Bohai Oilfield, the large complex sublacustrine fan reservoir has become a new exploration target. However, the sublacustrine fan reservoir is characterized by strong heterogeneity and difficulty in reservoir characterization. In this paper, the method of facies-controlled stochastic modeling, making full use of various seismic information and highly integrating geological, drilling, logging and seismic data, is successfully applied into the sublacustrine fan reservoir prediction in Bohai sea Kenli 10-2 oilfield. The research results show that this method can effectively reduce the uncertainty and ambiguity of reservoir attribute simulation, and improve the accuracy of reservoir prediction, and lay a foundation for deployment of exploratory well.