QC of the Reservoir Model Using Seismic, Well Logging and Petrophysical Data

For the oil fields in the mature stage, it is most important to find the remaining oil in the reservoir. A typical method to predict the remaining oil is fluid flow simulation based on the geological model generated with all the available data. The agreement between the reservoir simulation model and the production data is usually used to evaluate the quality of the simulation model. Reservoir engineers often find that more than one simulation model could match production data, which is due to the limitation of the production data, only available at the well location. However, the seismic data are available in 3D. A method of quality control of the reservoir model using 3D seismic, well logging and petrophysical data is proposed in this paper. The proposed method is applied to a pilot test in a heavy oilfield. Using the well logging data and seismic horizons in the study area, a geologic model was generated and upscaled to a simulation model. With this model, reservoir simulation was run to simulate the reservoir changes over the time. Using the petrophysical data, the synthetic seismic data of reservoir model were calculated. And then the synthetic seismic data were compared with the observed seismic to evaluate the reliability of the reservoir model. The application shows that the introduced method can be used to quantitatively evaluate the reservoir model and its outcome can also aid us to update the reservoir model. The updated model is proven to be more reasonable.