Dhahran, Saudi Arabia

Marei Saeed Al-Garni

This inventor holds 4 USPTO granted patents and 1 EPO patent. Top assignee: Saudi Arabian Oil Company. Active years: 2022-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Marei Saeed Al-Garni. Retrieved from https://idiyas.com/inventor/marei-saeed-al-garni

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


% Patents Active = 100.0


Average Co-Inventor Count = 3.6

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2022-2025

Loading Chart...
Loading Chart...
4 patents (USPTO):Explore Patents

Title: The Innovations of Marei Saeed Al-Garni

Introduction

Marei Saeed Al-Garni is a prominent inventor based in Dhahran, Saudi Arabia. He has made significant contributions to the field of reservoir engineering, particularly in the modeling of reservoir permeability and the application of artificial intelligence in variogram modeling. With a total of 4 patents, Al-Garni continues to push the boundaries of innovation in his field.

Latest Patents

One of his latest patents focuses on modeling reservoir permeability through estimating natural fracture distribution and properties. This patent addresses the complexities of permeability in earth models, which consists of three components: natural fracture, distinctive matrix permeability, and porosity correlated matrix permeability. While matrix permeability can often be predicted from porosity and diagenesis effects, fracture permeability remains a highly uncertain parameter. The earth model permeability components are calibrated by determining fracture distribution and estimating fracture properties through an iterative optimization process. This calibration continues until the calculated reservoir flow capacity aligns with the accuracy limits indicated by production logging tool measurements.

Another notable patent is centered on fast variogram modeling driven by artificial intelligence. This method involves obtaining synthetic well data and actual well data for facies or petrophysical properties of interest in a targeted reservoir zone. By training machine learning models using the synthetic well data, a plurality of final variogram parameters can be predicted for the facies or petrophysical properties of interest. The well data serves as input, enhancing the accuracy of the modeling process.

Career Highlights

Marei Saeed Al-Garni is currently employed at the Saudi Arabian Oil Company, where he applies his expertise in reservoir engineering. His work has been instrumental in advancing the understanding of reservoir behavior and improving extraction techniques.

Collaborations

Al-Garni has collaborated with notable colleagues such as Mohammed Sabri Al Madani and Anwar Rahim Awan. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.

Conclusion

Marei Saeed Al-Garni is a distinguished inventor whose work in reservoir engineering has led to significant advancements in the field. His innovative patents reflect his commitment to enhancing the understanding of reservoir permeability and the application of artificial intelligence in modeling. Through his contributions, Al-Garni continues to shape the future of reservoir engineering.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…