Haifeng Jiang

Title: Haifeng Jiang: Innovator in Data-Driven Solutions for Mineral Composition Analysis

Introduction

Haifeng Jiang is a notable inventor based in Oklahoma City, OK (US). He has made significant contributions to the field of mineral composition analysis through his innovative patent. His work focuses on developing data-driven solutions that enhance the understanding of geological samples.

Latest Patents

Haifeng Jiang holds a patent titled "Data-driven solutions for inverse elemental modeling." This patent describes methods for determining mineral compositions of materials. The methods involve obtaining elemental data associated with a geologic sample, calculating a measurement correlation matrix from the elemental data, and comparing it with an artificial correlation matrix to minimize error values. Ultimately, this process allows for accurate determination of the mineral composition of geological samples.

Career Highlights

Jiang is currently employed at Baker Hughes Oilfield Operations LLC, where he applies his expertise in data-driven methodologies. His innovative approach has positioned him as a valuable asset in the field of oilfield operations and geological analysis.

Collaborations

Haifeng Jiang collaborates with talented professionals such as Robert Krumm and Ryan Antle. Their combined efforts contribute to advancing the technology and methodologies used in mineral composition analysis.

Conclusion

Haifeng Jiang's work exemplifies the intersection of innovation and practical application in the field of geology. His contributions through his patent and collaboration with industry professionals highlight the importance of data-driven solutions in understanding mineral compositions.