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Reservoir Simulations Tools to Inform Natural Hydrogen Exploration and Production Strategies

Energy, Cleantech & Environmental
Software & Information Technology
College
College of Arts & Sciences
Researchers
Moortgat, Joachim
Darrah, Thomas
Licensing Manager
Sita, Cordellia
6146882933
sita.5@osu.edu

T2021-311

The Need

Naturally occurring hydrogen is found in subsurface formations. Successful exploration for subsurface resources requires a systematic understanding of the occurrence and evolution of the resource within various geologic environments. Evolution of the modeling capabilities of previously developed programs is necessary for successful exploration and extraction. Reservoir simulation package (software program) capable of describing and characterizing subsurface flow and transport of single, binary, and complex mixtures of multiple phase fluids. The simulation tools were developed by Moortgat's group over last decade. The nature of this invention focuses on developing the first reservoir simulation tool capable of modelling natural hydrogen (geological hydrogen) systems, analogous too (but not the same as) the simulations routinely used in the oil and gas industries.

The Technology

Dr. Joachim Moortgat, along with researchers at Ohio State, has proposed OSURES, a simulator for multiphase multicomponent fluid flow and transport in heterogeneous porous media. It is built on the state-of-the-art in numerical methods and a rigorous foundation of thermodynamics, which makes OSURES superior to the reservoir simulators used in the petroleum industry and geohydrology community. Many of these features will be critical in modeling hydrogen bearing formations. Importantly, given the labile of hydrogen in the subsurface (e.g., inorganic, biological), the Hydrogen OSURES will integrate state-of-the-art numerical methods of hydrogen reservoir modeling with a rigorous characterization of hydrogens chemical behavior during reactive and static transport. The hydrogen reservoir incorporates phase changes, hydrogen generation, degradation, and fluid transport phenomena.

Commercial Applications

  • Energy
  • Big data

Benfits/Advantages

  • Efficient
  • Cost-effective

Research Interests

Dr. Joachim Moortgat has a Ph.D. from Radboud University, The Netherlands 2006. Joachim Moortgat and his research group study multiphase flow in porous and naturally fractured subsurface media. To model such processes, Moortgat has developed a versatile compositional reservoir simulator based on advanced higher-order finite element methods. The research in this group combines analytical/theoretical work with the development of sophisticated numerical methods and the analysis of laboratory experiments in collaboration with partners in academia and the petroleum industry.