Ali Dogru

ERL Fellow

Earth Atmopsheric and Planetary Sciences

E-mail

Education: PhD, Petroleum Engineering / Applied Mathematics, U. Texas Austin, 1974

Bio: Ali Dogru is the Aramco Fellow and a member of US National Academy of Engineering (NAE). He has been a visiting scientist at EAPS since 2012. Dogru received his PhD in Petroleum Engineering/Applied Mathematics from The University of Texas at Austin in 1974. He spent his early career in academia until he joined Mobil R&D in 1982 in Dallas, Texas. In 1988, he transferred on a loan basis to Saudi Aramco and then later in 1996 he started working directly for Saudi Aramco, where he became Saudi Aramco Fellow in charge of Advanced Computational Modeling Technology. In 2024 he joined Aramco Americas as an Aramco Fellow.
Dogru has published extensively throughout his career and holds over twenty-five U.S. patents. He has received SPE’s John Franklin Carll, Reservoir Description and Dynamics, Honorary & Distinguished Membership awards and World Oil’s Innovative thinker awards.
His current research is focused on developing next-generation parallel reservoir and basin simulators, optimize recovery in mature fields and unconventional reservoirs, developing new math models to help discovering new hydrocarbon and natural Hydrogen accumulations, modeling Geothermal reservoirs, CO2 sequestration and formation of critical minerals. In 2018 he was named one of the first three ERL Fellows.

Selected publications:

  • ” Locating Hydrocarbon Fields & Predicting Reservoir Performance From Hydrocarbon Migration”, Us Patent No: 11126762(2021)
  • “Methods and Systems for Gas Condensate Well Performance Prediction”, US Patent No: 11840927(2022)
  • “A Fast Algorithm For Calculating Isothermal Phase Behavior Using Machine Learning” (Journal Of Fluid Phase Equilibria, Volume, Pages 73-82, Elsevier, 2018/4/15). A. Kashinath, Ml Szulczewski, AH Dogru. A Fast Algorithm For Calculating Isothermal Phase Behavior Using Machine Learning – Sciencedirect
  • “Aquifer Acceleration In Parallel Implicit Field-Scale Reservoir Simulation”, (Spe Journal, 2018/2/1). S. Du, L. Fung, A. Dogru.
  • “Correction To: Interior Boundary-Aligned Unstructured Grid Generation And Cell-Centered Versus Vertex-Centered Cvd-Mpfa Performance”, (Computational Geosciences, Pages : 231-231, 2018/2/1). S. Manzour , M. Edwards, A. Dogru, T. Alshaalan
  • “Equivalent Wellblock Radius For Partially Perforated Vertical Wells–Part I: Anisotropic Reservoirs With Uniform Grids” (Spe Journal, Vol. 15, No. 4, December, 2010). Dogru, Ali H.

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