Dhahran, Saudi Arabia

Ali Haydar Dogru

This inventor holds 27 USPTO granted patents and 5 published patent applications, plus 4 CIPO patents and 7 EPO patents, primarily in Reservoir Simulation. Top assignees: Saudi Arabian Oil Company, Massachusetts Institute of Technology, Saudi Aramco. Active years: 2009-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ali Haydar Dogru. Retrieved from https://idiyas.com/inventor/ali-haydar-dogru

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

USPTO Granted Patents = 27 

% Patents Active = 100.0

 

 

Average Co-Inventor Count = 1.5

ph-index = 7

Forward Citations = 314(Granted Patents)


Company Filing History:


Years Active: 2009-2026

Loading Chart...
Loading Chart...
Loading Chart...
Areas of Expertise:
Hydrocarbon Reservoir
Simulation
Well Performance
Pressure Solver
Tridiagonal Matrix
Flow Modeling
Data Processing
Seismic-Scale
GPU Acceleration
Event Monitoring
Multi-Branch Wells
Reservoir Calibration
27 patents (USPTO):Explore Patents

Title: Inventor Spotlight: Ali Haydar Dogru - Revolutionizing Reservoir Simulation

Introduction:

In the world of innovations and patents, Ali Haydar Dogru shines as a pioneer in the field of reservoir simulation. With an impressive background and a substantial number of patents to his name, Ali Haydar Dogru has made significant contributions to the oil and gas industry. Let's delve into his latest patents, career highlights, and noteworthy collaborations.

Latest Patents:

Ali Haydar Dogru's most recent patents have focused on methods and systems for gas condensate well performance prediction and reservoir simulation with pressure solvers for non-diagonally dominant indefinite coefficient matrices. These inventions demonstrate his expertise in addressing critical challenges within the industry.

Methods and Systems for Gas Condensate Well Performance Prediction:

Dogru's patent introduces a method for predicting gas condensate well performances by determining pseudo-pressure values and skin factor values. By accurately simulating well production rates and pressure distributions within a reservoir, this innovation assists in maximizing production efficiency.

Reservoir Simulation with Pressure Solver for Non-Diagonally Dominant Indefinite Coefficient Matrices:

This patent revolutionizes reservoir simulation through improved computational efficiency. By optimizing the determination of pressure distribution in grid cells of a reservoir model, Dogru's invention overcomes convergence difficulties arising from indefinite coefficient matrices. This innovation saves time and computational resources for large-scale reservoir models.

Career Highlights:

Ali Haydar Dogru has built an outstanding career, making significant contributions within internationally renowned companies. He has worked with the Saudi Arabian Oil Company (better known as Saudi Aramco) and has undoubtedly played a crucial role in their success. His expertise in reservoir simulation has propelled the industry forward, optimizing oil and gas extraction processes and enhancing overall operational efficiency.

Collaborations:

Throughout his career, Dogru has collaborated with esteemed colleagues, further showcasing his commitment to groundbreaking research and development. Notable collaborators include Jorge A Pita and Nabil M Al-Zamel, both experts in their own rights. These collaborations reflect Dogru's ability to work effectively as part of a team and his dedication to driving innovation forward.

Conclusion:

Ali Haydar Dogru stands out as an exceptional innovator in the field of reservoir simulation. His extensive patent portfolio, including recent advancements in gas condensate well performance prediction and reservoir simulation, underline his commitment to improving the oil and gas industry's operational efficiency. As a leading figure in this domain, Dogru's contributions have undoubtedly left a lasting impact on the industry, setting new standards and inspiring future inventors and researchers alike.

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…