Basking Ridge, NJ, United States of America

Huseyin Denli

This inventor holds 15 USPTO granted patents and 2 published patent applications, plus 7 CIPO patents and 6 EPO patents, primarily in Geophysical Inversion. Top assignees: Exxonmobil Upstream Research Company, Exxonmobil Technology and Engineering Company, Exxonmobil Research and Engineering Company. Active years: 2018-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Huseyin Denli. Retrieved from https://idiyas.com/inventor/huseyin-denli

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

USPTO Granted Patents = 15 (Patent Applications = 2)

% Patents Active = 93.3

CIPO Patents = 7 (Patent Applications = 7)

EPO Patents = 6 (Patent Applications = 14)

Average Co-Inventor Count = 2.9

ph-index = 5

Forward Citations = 51(Granted Patents)

Location History:

Summit, NJ (US) (2018)
Basking Ridge, NJ (US) (2019 - 2023)

Company Filing History:

9 out of 1,399

Exxonmobil Upstream Research Company

patents

5 out of 440

Exxonmobil Technology and Engineering Company

patents

1 out of 1,780

Exxonmobil Research and Engineering Company

patents

Years Active: 2018-2026

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Areas of Expertise:

Geo-information Extraction

Hydrocarbon Identification

Augmented Inversion

Uncertainty Quantification

Seismic Interpretation

Machine Learning

Deep Generative Networks

Relational Learning

Graph Networks

Reservoir Modeling

Convolutional Neural Networks

Full Wavefield Inversion

15 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12699196 - Framework for integration of geo-information extraction, geo-reasoning and geologist-responsive inquiries (2026-08-04),

2. 12656526 - Geological reasoning with graph networks for hydrocarbon identification (2026-06-16),

3. 12585037 - Method and system for augmented inversion and uncertainty quantification for characterizing geophysical bodies (2026-03-24),

4. 12468057 - Detection of hydrocarbon presence in subsurface from seismic images using relational learning (2025-11-11),

5. 11693139 - Automated seismic interpretation-guided inversion (2023-07-04),

6. 11609352 - Machine learning-augmented geophysical inversion (2023-03-21),

7. 11521122 - Automated seismic interpretation systems and methods for continual learning and inference of geological features (2022-12-06),

8. 11520077 - Automated reservoir modeling using deep generative networks (2022-12-06),

9. 11435498 - Subsurface models with uncertainty quantification (2022-09-06),

10. 11397272 - Data augmentation for seismic interpretation systems and methods (2022-07-26),

11. 11320551 - Training machine learning systems for seismic interpretation (2022-05-03),

12. 10996372 - Geophysical inversion with convolutional neural networks (2021-05-04),

13. 10838093 - Krylov-space-based quasi-newton preconditioner for full-wavefield inversion (2020-11-17),

14. 10416348 - Shape-based geophysical parameter inversion (2019-09-17),

15. 10054714 - Fast viscoacoustic and viscoelastic full wavefield inversion (2018-08-21),

Title: Huseyin Denli: Innovator in Geophysical Inversion Technologies

Introduction

Huseyin Denli is a prominent inventor based in Basking Ridge, NJ (US), known for his significant contributions to the field of geophysical inversion technologies. With a total of 11 patents to his name, Denli has developed innovative methods and systems that enhance seismic analysis and interpretation.

Latest Patents

Denli's latest patents include groundbreaking technologies such as "Automated Seismic Interpretation-Guided Inversion" and "Machine Learning-Augmented Geophysical Inversion." The first patent outlines a method and apparatus for seismic analysis that involves obtaining an initial geophysical model and seismic data for a subsurface region. This process includes producing a subsurface image, generating a map of geologic features, and iteratively updating the geophysical model. The method may also incorporate various migration and inversion techniques. The second patent focuses on a machine learning-augmented approach to geophysical inversion, which involves training data and model autoencoders to solve inversion problems iteratively until convergence is achieved.

Career Highlights

Throughout his career, Huseyin Denli has worked with notable companies, including ExxonMobil Upstream Research Company and ExxonMobil Technology and Engineering Company. His work in these organizations has allowed him to apply his innovative ideas in practical settings, contributing to advancements in geophysical research and technology.

Collaborations

Denli has collaborated with esteemed colleagues such as Cody J. Macdonald and Kuang-Hung Liu, further enhancing the impact of his work in the field.

Conclusion

Huseyin Denli's contributions to geophysical inversion technologies demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of seismic analysis and machine learning, positioning him as a key figure in advancing geophysical research.

Profile summary based on public USPTO records.