KAUST-IAMCS Workshop on Modeling and Simulation of Wave Propagation and Applications
- King Abdullah University of Science and Technology (KAUST)
- Thuwal, Saudi Arabia
- Conference Center (Building 19), Conference Halls 1 & 2
- Mike King, Texas A&M University
- Combined Uncertainty and History Matching Study of a Deepwater Turbidite Reservoir
- Dr. Michael J. King, Department of Petroleum Engineering, Texas A&M University
- Akshay Aggarwal (MS), Department of Petroleum Engineering, Texas A&M University
History matching is a process wherein changes are made to an initial geologic model of a reservoir, so that the predicted reservoir performance matches with the known production history. Changes are made to the model parameters, including rock and fluid parameters or properties within the geologic model. Assisted History Matching (AHM) provides an algorithmic framework to minimize the mismatch in simulation, and aids in accelerating this process. The changes made by AHM techniques, however, cannot ensure a geologically consistent reservoir model; the performance of these techniques strongly depend on the initial starting model. In order to understand the impact of the initial model, this project explored the performance of the AHM approach using a specific field case, but working with multiple distinct geologic scenarios.
This project involved an integrated seismic to simulation study, wherein we interpreted the seismic data, assembled the geological information, and performed petrophysical log evaluation along with well test data calibration. The ensemble of static models obtained was carried through the AHM methodology. The most important dynamic parameters govern the large scale changes in the reservoir description and are optimized using the Evolutionary Strategy Algorithm. Finally, streamline based techniques were used for local modifications to match the water cut well by well.
The following general conclusions were drawn from this study: