Reservoir Properties Modeling Constrained Multi-horizon Driven By Seismic Data

At present, most of the oil/gas fields in China are in the middle-later development or mature phase. And it's difficult to have a good effect for secondary recovery and tertiary recovery. Therefore, it's a problems pressed for solutions, which how to have a method to make effective use of multi-data, which have different resolution and different space covers scale, as seismic data, logging data, geological data and petrochemical data to build a precise reservoir properties modeling.Based on previous studies, this paper applies a method for reservoir properties modeling driven by seismic data in a field case to further verify the effect. Spatial converting function is calculated by the method with the data which extract within a time window. The calculating method is not suitable to the modeling grid build by multi-horizon data and fault data. So we should make use of the horizons which are from seismic interpretation to establish stratigraphic framework, and then build the grids. Base on the non-uniform model grids, the seismic data and logging data will be assigned to model grid. Spatial converting function is calculated in every horizon. This is the basic principle of method for reservoir properties modeling constrained multi-horizon driven by seismic data.This method is validated using synthetic data. Then, the method is applied to a field case to build a reservoir properties modeling. And the paper verify the effect of the reservoir properties modeling, analysis the characteristic of spatial converting function, and do a modeling experiment with the method constrained sedimentary facies. Finally the method compared with geostatistics method in a field case, which is to further verify the method's effect in modeling.