Sugar Land, TX, United States of America

Naresh Chaudhary


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Naresh Chaudhary: Innovator in Deep Learning Based Reservoir Modeling

Introduction

Naresh Chaudhary is a prominent inventor based in Sugar Land, TX (US). He has made significant contributions to the field of deep learning and reservoir modeling. His innovative work has led to the development of a patented technology that enhances the understanding of subsurface properties in the oil and gas industry.

Latest Patents

Naresh Chaudhary holds a patent for a technology titled "Deep learning based reservoir modeling." This invention involves receiving input data that includes information from well logs in a specific region of interest. The technology utilizes this data to determine an input feature for a deep neural network (DNN) that predicts property values at various locations within the region. The DNN is trained using the input data, allowing it to make accurate predictions about subsurface properties. Additionally, a second DNN is employed to classify facies based on the predicted properties, further enhancing the modeling process.

Career Highlights

Naresh Chaudhary is associated with Landmark Graphics Corporation, where he applies his expertise in deep learning and reservoir modeling. His work at the company has positioned him as a key player in advancing technologies that support the oil and gas sector.

Collaborations

Naresh has collaborated with notable colleagues, including Yogendra Narayan Pandey and Keshava Prasad Rangarajan. These collaborations have fostered an environment of innovation and knowledge sharing, contributing to the success of their projects.

Conclusion

Naresh Chaudhary's contributions to deep learning and reservoir modeling exemplify the impact of innovative thinking in the energy sector. His patented technology not only enhances predictive capabilities but also supports the efficient exploration and management of natural resources.

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