Fei Luo

Title: Fei Luo: Innovator in Digital Core Permeability Prediction

Introduction

Fei Luo is a prominent inventor based in Qingdao, China. He has made significant contributions to the field of digital core analysis, particularly in predicting permeability using advanced deep learning techniques. His innovative approach has the potential to enhance the efficiency of resource extraction processes.

Latest Patents

Fei Luo holds a patent titled "Method for predicting permeability of multi-mineral phase digital core based on deep learning." This patent discloses a method for predicting the permeability of a multi-mineral phase digital core. The process involves constructing a three-dimensional digital core and randomly generating a pore structure. After acquiring multiple multi-mineral digital core images through image segmentation, permeability is simulated using multi-physics field simulation software. A multi-mineral digital core data set is then created, and an SE-ResNet18 convolutional neural network is trained with this data set. The trained model can predict the permeability of new multi-mineral core images.

Career Highlights

Fei Luo is affiliated with the China University of Petroleum, where he continues to advance research in digital core analysis. His work is instrumental in bridging the gap between theoretical research and practical applications in the petroleum industry.

Collaborations

Fei Luo collaborates with notable colleagues such as Hai Sun and Liang Zhou, contributing to a dynamic research environment that fosters innovation and discovery.

Conclusion

Fei Luo's contributions to the field of digital core permeability prediction exemplify the intersection of technology and resource management. His innovative methods are paving the way for advancements in the petroleum industry.