This inventor holds 1 USPTO granted patent. Top assignee: Saudi Arabian Oil Company. Active years: 2022.
Company Filing History:
Years Active: 2022
Title: Anwar Rahim Awan: Innovator in Subsurface Reservoir Optimization
Introduction
Anwar Rahim Awan is a notable inventor based in Dhahran, Saudi Arabia. He has made significant contributions to the field of subsurface reservoir optimization, particularly through his innovative methodologies that leverage machine learning and streamline analysis.
Latest Patents
Anwar holds a patent titled "Optimization of discrete fracture network (DFN) using streamlines and machine learning." This patent presents a methodology designed to optimize the dynamic connectivity of a discrete fracture network model of a subsurface reservoir. The approach utilizes observed reservoir production measures to enhance the efficiency of the model. By adjusting the properties of the discrete fracture network locally, Anwar's method minimizes the computer processing time required for history matching. The iterative workflow he developed identifies discrepancies between measured and predicted water cut of reservoir produced fluids. Additionally, streamline analysis quantifies the communication between injectors and producers, pinpointing reservoir grid block bundles that significantly influence dynamic responses. A genetic algorithm is employed to update the properties of the discrete fracture network model, thereby improving the dynamic history match response.
Career Highlights
Anwar is currently associated with the Saudi Arabian Oil Company, where he applies his expertise in reservoir optimization. His work has been instrumental in advancing methodologies that enhance the understanding and management of subsurface reservoirs.
Collaborations
Anwar has collaborated with notable colleagues, including Otto E Meza Camargo and Mustafa Amari, contributing to the collective knowledge and innovation in the field of reservoir engineering.
Conclusion
Anwar Rahim Awan's innovative work in optimizing discrete fracture networks showcases his commitment to advancing reservoir management techniques. His contributions are vital for improving efficiency in subsurface reservoir production.