Cory Layne Miller

Title: Cory Layne Miller: Innovator in Machine Learning and Predictive Analytics

Introduction

Cory Layne Miller is a notable inventor based in Denver, CO (US). He has made significant contributions to the field of machine learning and predictive analytics, particularly in the context of hydrocarbon well operations. His innovative approach has the potential to enhance the efficiency and safety of hydraulic fracturing processes.

Latest Patents

Cory holds a patent for a "Method and system for machine learning and predictive analytics of fracture driven interactions." This patent describes a computing system that utilizes a machine learning algorithm to predict the probability of fracture driven interactions associated with a hydrocarbon well. The algorithm trains a machine learning model using well treatment pumping data, offset well production data, and well stage data. Feature extraction is performed on these datasets to create a model that can predict real-time fracture driven interactions, thereby improving ongoing hydraulic fracturing operations.

Career Highlights

Cory is currently employed at Chevron U.S.A. Inc., where he applies his expertise in machine learning to advance the company's operations. His work focuses on integrating predictive analytics into the hydraulic fracturing process, which is crucial for optimizing resource extraction and minimizing environmental impact.

Collaborations

Cory collaborates with fellow innovator Brandon Francis Hruby, working together to enhance the capabilities of their projects and drive advancements in their field.

Conclusion

Cory Layne Miller's contributions to machine learning and predictive analytics represent a significant advancement in the hydrocarbon industry. His innovative patent and work at Chevron U.S.A. Inc. highlight his commitment to improving hydraulic fracturing operations.