Mohammed M Alshalan

Title: Innovations of Mohammed M Alshalan in Sedimentary Reservoirs

Introduction

Mohammed M Alshalan is a notable inventor based in Dhahran, Saudi Arabia. He has made significant contributions to the field of sedimentary reservoir analysis through his innovative patent. His work focuses on utilizing machine learning to enhance the understanding of grain size distribution in subterranean environments.

Latest Patents

Alshalan holds a patent titled "Relative grain size determination and flow characterization in sedimentary reservoirs." This invention involves generating a relative grain size value for subterranean depth intervals by executing a machine learning model that processes petrophysical well log data. The model is trained using observed grain size data from cored intervals, allowing for the determination of flow index values for un-cored depth intervals. These flow index values are crucial for identifying target depth intervals for hydrocarbon production.

Career Highlights

Alshalan is associated with the Saudi Arabian Oil Company, where he applies his expertise in sedimentary rock materials. His innovative approach has the potential to significantly improve hydrocarbon extraction processes. With a focus on machine learning applications in geology, he is at the forefront of modernizing reservoir analysis techniques.

Collaborations

Alshalan has collaborated with esteemed colleagues such as Weihua Wang and Ibrahim A Makrami. Their combined efforts contribute to advancing the understanding of sedimentary reservoirs and enhancing production strategies.

Conclusion

Mohammed M Alshalan's innovative work in sedimentary reservoir analysis exemplifies the integration of technology and geology. His contributions are paving the way for more efficient hydrocarbon extraction methods.