Houston, TX, United States of America

Tailai Wen


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 11(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Tailai Wen: Innovator in Secondary Recovery Optimization

Introduction

Tailai Wen is a notable inventor based in Houston, TX (US). He has made significant contributions to the field of secondary recovery optimization through his innovative patent. His work focuses on enhancing the efficiency of material flow in reservoirs, which is crucial for the oil and gas industry.

Latest Patents

Tailai Wen holds a patent titled "Reduced-physics, data-driven secondary recovery optimization." This patent involves modeling physical material flow relationships between injector wells and producer wells in a reservoir. The invention quantifies uncertainty in a connection-based model. A computer system calculates pressure distribution within the reservoir using sensor data. It then applies this pressure distribution as input to a tracer algorithm for both injector and producer wells. This process identifies tracer flow values for materials moving between the wells. The system combines these values to generate well allocation factors that represent material flow relationships. Furthermore, it determines the efficiency of each inter-well connection using a fractional flow model, providing essential data for controlling material flow.

Career Highlights

Tailai Wen is currently employed at Qri Group, LLC, where he continues to develop innovative solutions in the field of reservoir management. His expertise in data-driven optimization techniques has positioned him as a valuable asset in his organization.

Collaborations

Tailai has collaborated with notable colleagues such as Sébastien Matringe and Xiang Zhai. Their combined efforts contribute to advancing the technology and methodologies used in secondary recovery optimization.

Conclusion

Tailai Wen's innovative work in secondary recovery optimization exemplifies the importance of data-driven approaches in enhancing efficiency in the oil and gas sector. His contributions through his patent and collaborations with colleagues highlight his commitment to advancing technology in this field.

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