Kevin Mendoza

Title: Kevin Mendoza: Innovator in Machine Learning for Hydraulic Fracturing

Introduction

Kevin Mendoza is an accomplished inventor based in Houston, TX (US). He has made significant contributions to the field of machine learning, particularly in the context of hydraulic fracturing processes. His innovative approach aims to enhance the efficiency and effectiveness of resource extraction from underground formations.

Latest Patents

Kevin holds a patent for a groundbreaking invention titled "Machine-learning based fracture-hit detection using low-frequency DAS signal." This patent focuses on a method for detecting fracture hits in offset monitoring wells during hydraulic fracturing. The process involves receiving a set of features from a well near another well undergoing hydraulic fracturing. By inputting these features into a trained neural network, the system can output the probability of a fracture hit at a specific location during the completion stage of the fracturing process.

Career Highlights

Kevin Mendoza is currently employed at ConocoPhillips Company, where he applies his expertise in machine learning to improve hydraulic fracturing techniques. His work is pivotal in advancing the understanding of fracture behavior in wells, which is crucial for optimizing resource extraction.

Collaborations

Kevin collaborates with talented professionals such as Ge Jin and Baishali Roy. Their combined efforts contribute to the innovative projects at ConocoPhillips, enhancing the company's capabilities in the energy sector.

Conclusion

Kevin Mendoza is a notable inventor whose work in machine learning and hydraulic fracturing is shaping the future of resource extraction. His patent and contributions to ConocoPhillips exemplify the impact of innovation in the energy industry.