James Etienne

Title: James Etienne: Innovator in Deep Learning Based Reservoir Modeling

Introduction

James Etienne is a notable inventor based in Abingdon, GB. He has made significant contributions to the field of deep learning and its applications in reservoir modeling. His innovative approach combines advanced technology with practical applications in the energy sector.

Latest Patents

James Etienne holds a patent for "Deep learning based reservoir modeling." This technology involves receiving input data that includes information from well logs in a specific region. The system determines an input feature for a deep neural network (DNN) to predict property values at various locations within the region. The technology trains the DNN using the input data and predicts property values effectively. Additionally, it employs a second DNN to classify facies based on the predicted properties.

Career Highlights

James Etienne is associated with Landmark Graphics Corporation, where he applies his expertise in deep learning and reservoir modeling. His work has been instrumental in advancing the understanding and efficiency of reservoir management.

Collaborations

James has collaborated with notable professionals in his field, including Yogendra Narayan Pandey and Keshava Prasad Rangarajan. These collaborations have further enriched his work and contributed to the development of innovative solutions in reservoir modeling.

Conclusion

James Etienne's contributions to deep learning and reservoir modeling exemplify the intersection of technology and practical application in the energy sector. His innovative patent and collaborations highlight his commitment to advancing this important field.