Cambridge, MA, United States of America

Hugues A Djikpesse

USPTO Granted Patents = 9 

Average Co-Inventor Count = 3.9

ph-index = 5

Forward Citations = 77(Granted Patents)


Location History:

  • Stamford, CT (US) (2010)
  • Cambridge, MA (US) (2011 - 2020)

Company Filing History:


Years Active: 2010-2020

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9 patents (USPTO):

Title: Hugues A Djikpesse: Innovator in Oilfield Design and Bayesian Methodology

Introduction

Hugues A Djikpesse is a prominent inventor based in Cambridge, MA (US). He has made significant contributions to the fields of oilfield design optimization and experimental design methodologies. With a total of 9 patents to his name, Djikpesse has established himself as a key figure in innovation.

Latest Patents

Djikpesse's latest patents include "Multistage Oilfield Design Optimization Under Uncertainty" and "Guided Bayesian Experimental Design." The first patent focuses on managing oilfield operations by obtaining a subsurface model that includes a fracture design model with uncertain values. This approach utilizes a set of representative values to solve an oilfield optimization problem, ultimately generating an optimal design for the oilfield. The second patent describes a Bayesian methodology for designing experiments that leverage prior information to minimize uncertainties in future interpretations. Synthetic geophysical tomography examples illustrate the benefits of this innovative approach.

Career Highlights

Throughout his career, Hugues A Djikpesse has worked with leading companies in the industry, including Schlumberger Technology Corporation and Westerngeco LLC. His expertise in oilfield design and Bayesian methodologies has made him a valuable asset in these organizations.

Collaborations

Djikpesse has collaborated with notable professionals in his field, including Michael David Prange and Benoit Couet. These collaborations have further enhanced his contributions to innovation and research.

Conclusion

Hugues A Djikpesse is a distinguished inventor whose work in oilfield design optimization and Bayesian methodologies has made a significant impact in the industry. His innovative patents and collaborations reflect his commitment to advancing technology and improving operational efficiencies.

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