Yevgeniy Zagayevskiy

Title: Yevgeniy Zagayevskiy: Innovator in Reservoir Production Estimation

Introduction

Yevgeniy Zagayevskiy is a notable inventor based in Calgary, Canada. He has made significant contributions to the field of reservoir production estimation through innovative technologies. His work focuses on utilizing machine learning models to enhance wellbore operation control.

Latest Patents

Yevgeniy holds a patent for a system that estimates well production and injection rates of subterranean reservoirs using machine learning models. The patent, titled "Estimating reservoir production rates using machine learning models for wellbore operation control," describes a system that includes a processor and a non-transitory computer-readable medium. This system is designed to perform various operations, such as receiving static geological data and applying trained convolutional neural networks to determine dynamic outputs of the reservoir. The processor also generates estimated well production and injection rates by utilizing well data and subterranean grid information.

Career Highlights

Yevgeniy is currently employed at Landmark Graphics Corporation, where he applies his expertise in machine learning and reservoir engineering. His innovative approach has positioned him as a key player in the development of advanced technologies for the oil and gas industry.

Collaborations

Yevgeniy has collaborated with talented professionals such as Soumi Chaki and Honggeun Jo. These collaborations have further enhanced the quality and impact of his work in the field.

Conclusion

Yevgeniy Zagayevskiy is a pioneering inventor whose work in machine learning and reservoir production estimation is shaping the future of wellbore operation control. His contributions are invaluable to the industry and demonstrate the potential of innovative technologies in enhancing resource management.