Yuda Kan

Title: Yuda Kan: Innovator in Digital Core Permeability Prediction

Introduction

Yuda Kan 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

Yuda Kan 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. By performing image segmentation on the digital core, multiple multi-mineral digital core images are acquired. The permeability corresponding to each image is simulated using multi-physics field simulation software, leading to the construction of a multi-mineral digital core data set. A convolutional neural network, specifically SE-ResNet18, is then trained with this data set to predict the permeability of new multi-mineral cores.

Career Highlights

Yuda Kan is affiliated with the China University of Petroleum, where he continues to advance research in the field of petroleum engineering and digital core analysis. His work is characterized by a strong emphasis on integrating machine learning techniques with traditional geological assessments.

Collaborations

Yuda collaborates with notable colleagues such as Hai Sun and Liang Zhou, contributing to a dynamic research environment that fosters innovation and knowledge sharing.

Conclusion

Yuda Kan's contributions to the field of digital core permeability prediction exemplify the intersection of technology and geology. His innovative methods are paving the way for more efficient resource management in the petroleum industry.