Darryl G Buswell

Title: The Innovative Contributions of Darryl G. Buswell

Introduction

Darryl G. Buswell is a notable inventor based in Houston, TX, who has made significant contributions to the field of machine learning and hydraulic fracturing. His work focuses on enhancing the efficiency and effectiveness of natural resource extraction processes.

Latest Patents

Darryl holds a patent for a groundbreaking invention titled "Machine-learning based fracture-hit detection using low-frequency DAS signal." This patent describes a method for detecting fracture hits in offset monitoring wells during hydraulic fracturing processes. The method involves receiving a set of features for a first well near a second well undergoing hydraulic fracturing. It utilizes a trained neural network to output the probability of a fracture hit at a specific location in the first well during a given completion stage of the hydraulic fracturing process in the second well. This innovative approach aims to optimize the design of hydraulic fracturing processes.

Career Highlights

Darryl is currently employed at ConocoPhillips, a leading company in the energy sector. His expertise in machine learning and hydraulic fracturing has positioned him as a valuable asset to the company. With a focus on advancing technology in resource extraction, he continues to contribute to the field through his innovative ideas and solutions.

Collaborations

Darryl has collaborated with talented coworkers, including Ge Jin and Kevin Mendoza. Their combined efforts in research and development have led to advancements in the application of machine learning in the energy sector.

Conclusion

Darryl G. Buswell's contributions to machine learning and hydraulic fracturing exemplify the impact of innovation in the energy industry. His patent and ongoing work at ConocoPhillips highlight the importance of technology in optimizing natural resource extraction processes.