Fatai A Anifowose

This inventor holds 14 USPTO granted patents and 9 published patent applications, plus 1 CIPO patent and 1 EPO patent. Top assignee: Saudi Arabian Oil Company. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Fatai A Anifowose. Retrieved from https://idiyas.com/inventor/fatai-a-anifowose

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

USPTO Granted Patents = 14 (Patent Applications = 9)

% Patents Active = 100.0

CIPO Patents = 1 (Patent Applications = 1)

EPO Patents = 1 (Patent Applications = 2)

Average Co-Inventor Count = 2.3

ph-index = 1

Forward Citations = 9(Granted Patents)

Location History:

Dhahran, SA (2021)
Al-Khobar, SA (2021 - 2024)

Company Filing History:

14 out of 7,511

Saudi Arabian Oil Company

patents

Years Active: 2021-2026

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14 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12618324 - Predicting formation pore pressure in real time based on mud gas data (2026-05-05),

2. 12579449 - Hydrocarbon oil fraction prediction while drilling (2026-03-17),

3. 12571307 - System and method for predicting well characteristics (2026-03-10),

4. 12540536 - Machine-learned based real-time virtual gas metering (2026-02-03),

5. 12510687 - Using machine learning to predict aquifers from groundwater chemistry data (2025-12-30),

6. 12461085 - Automated source rock net thickness prediction system and method (2025-11-04),

7. 12287318 - Workflow to predict source rock richness and net thickness using integrated inorganic, pyrolysis, and wireline data (2025-04-29),

8. 11982174 - Method for determining pore pressures of a reservoir (2024-05-14),

9. 11898442 - Method and system for formation pore pressure prediction with automatic parameter reduction (2024-02-13),

10. 11867604 - Real-time estimation of formation hydrocarbon mobility from mud gas data (2024-01-09),

11. 11512580 - Real-time estimation of reservoir porosity from mud gas data (2022-11-29),

12. 11339651 - Systems and methods for generating continuous grain size logs from petrographic thin section images (2022-05-24),

13. 11079581 - Resolution preserving methodology to generate continuous log scale reservoir permeability profile from petrographic thin section images (2021-08-03),

14. 11010883 - Automated analysis of petrographic thin section images using advanced machine learning techniques (2021-05-18),

Title: Innovations of Fatai A. Anifowose: Pioneering Methods in Reservoir Analysis

Introduction

Fatai A. Anifowose is an accomplished inventor based in Al-Khobar, Saudi Arabia, with a notable portfolio of eight patents. His work primarily focuses on methods that enhance the efficiency and accuracy of reservoir analysis, making significant contributions to the field of geology and petroleum engineering.

Latest Patents

Two of his most recent patents exemplify his innovative approach. The first patent, titled "Workflow to Predict Source Rock Richness and Net Thickness Using Integrated Inorganic, Pyrolysis, and Wireline Data," presents a method for evaluating source rock richness. This method involves obtaining a source rock sample, collecting and filtering pyrolysis data, and discarding unreliable data points to deliver a comprehensive cross-checked dataset. It provides an innovative way to determine depth thicknesses and calculate net source rock thicknesses, along with corresponding average total organic carbon values.

The second patent, "Method for Determining Pore Pressures of a Reservoir," outlines a procedure for determining a real-time pore pressure log during drilling activities. This method leverages existing data logs and pore pressure logs from previous wells to establish a relationship, allowing for the estimation of pore pressure at various depths in newly drilled wells.

Career Highlights

Fatai A. Anifowose is employed at the Saudi Arabian Oil Company, where he continues to apply his expertise in geology and reservoir evaluation. His innovative contributions enhance the company's ability to accurately assess the potential and productivity of various reservoir types.

Collaborations

Throughout his career, Fatai has collaborated with esteemed colleagues, including Mokhles Mustapha Mezghani and Walid K. Hussein. These collaborative efforts have further advanced the research and development of methodologies in reservoir analysis, showcasing the power of teamwork in innovation.

Conclusion

Fatai A. Anifowose stands out as a significant figure in the field of reservoir analysis, with a strong focus on innovation through his patented methodologies. His dedication to improving the efficiency and reliability of geological assessments marks him as a valuable asset to the industries he serves.

Profile summary based on public USPTO records.