Ke Wang

Title: Ke Wang: Innovator in Seismic Data Analysis

Introduction

Ke Wang is a prominent inventor based in Sugar Land, Texas, known for his significant contributions to the field of seismic data analysis. With a total of 17 patents to his name, he has developed innovative methods that enhance the understanding of subsurface properties through advanced computational techniques.

Latest Patents

Among his latest patents is a system and method for the prediction of reservoir parameters with uncertainty quantification. This method involves seismic inversion with uncertainty quantification, utilizing low frequency Markov Chain Monte Carlo (MCMC) processes on rock physics models. The process generates low frequency models of rock properties and trains a deep neural network using these models and synthetic seismograms. The trained neural network can then produce a high frequency rock property model, allowing for broad-band MCMC processes to be performed for uncertainty quantification. This method is executed by a computer system, showcasing the integration of machine learning in geophysical applications.

Another notable patent is a system and method for property estimation from seismic data. This method includes receiving a seismic dataset representative of a subsurface volume and a well log from a well location within that volume. It identifies seismic traces corresponding to the well location, generates windowed seismic traces and well logs, and trains a neural network using multiple training datasets. This innovative approach enhances the accuracy of property estimation in subsurface analysis.

Career Highlights

Ke Wang has worked with leading companies in the energy sector, including Chevron U.S.A. Inc. and Baker Hughes Corporation. His experience in these organizations has allowed him to apply his innovative ideas in real-world applications, contributing to advancements in seismic data interpretation and reservoir characterization.

Collaborations

Throughout his career, Ke Wang has collaborated with notable professionals in his field, including Zhiyue Xu and Spyridon K. Lazaratos. These collaborations have fostered a rich exchange of ideas and have further propelled advancements in seismic analysis techniques.

Conclusion

Ke Wang's contributions to seismic data analysis through his innovative patents and collaborations with industry leaders highlight his significant impact on the field. His work continues to influence the way geophysical data is interpreted and utilized in the energy sector.