Honggeun Jo

Title: Innovations of Honggeun Jo in Reservoir Production Estimation

Introduction

Honggeun Jo is an accomplished inventor based in Austin, TX (US). He has made significant contributions to the field of reservoir production estimation through his innovative use of machine learning models. His work focuses on enhancing the efficiency and accuracy of wellbore operation control.

Latest Patents

Honggeun Jo holds a patent titled "Estimating reservoir production rates using machine learning models for wellbore operation control." This patent describes a system designed to estimate well production and injection rates of a subterranean reservoir using advanced machine learning techniques. The system includes a processor and a non-transitory computer-readable medium with executable instructions. The processor receives static geological data about subterranean reservoirs and applies a trained convolutional neural network to determine dynamic outputs. Additionally, it generates estimated well production and injection rates by utilizing well data and subterranean grid information.

Career Highlights

Honggeun Jo is currently employed at Landmark Graphics Corporation, where he continues to develop innovative solutions in the field of reservoir management. His expertise in machine learning and geological data analysis has positioned him as a valuable asset to his team.

Collaborations

Some of his notable coworkers include Soumi Chaki and Terry Wayne Wong, who contribute to the collaborative environment at Landmark Graphics Corporation.

Conclusion

Honggeun Jo's innovative work in estimating reservoir production rates showcases the intersection of technology and geology. His contributions are paving the way for more efficient resource management in the energy sector.