FuRSST Research | Our Team

Future Reservoir Simulation Systems and Technology Research

FACULTY

STUDENTS

ALUMNI

Ph.D. Candidates

Giorgiy Lutidze
giorgiy-lutidze@utulsa.edu
Curriculum Vitae

Developing robust and efficient nonlinear solution strategies for complex implicit simulations such as thermally reactive compositional models. Developing flow network based surrogate models for three-dimensional three-phase thermal simulations.

Guotong Ren
guotong-ren@utulsa.edu
Curriculum Vitae

Numerical simulation of coupled geomechanics and fluid flow in fractured porous media. Hybrid (Extended) Finite Element and Finite Volume discretizations for coupled multiphysics. Fracture propagation using XFEM-EDFM.

Ya Yao
yay1345@utulsa.edu
Curriculum Vitae

Developing a numerical simulator to model multiphase flow in wellbore.

M.S. Students

Yuxuan Jing
yuxuan-jing@utulsa.edu
Curriculum Vitae

Developing a numerical simulator to model seismic wave propagation in unconventional reservoirs. Investigating the possibility of extending lithotripsy to the reservoir scale, enabling waterless inter-well bulk fracturing using seismic waves.

Yukun Yan
yuy608@utulsa.edu
Curriculum Vitae

Estimating the Carbon Sequestration Capacity of Shale Formations.

Zheng Han
zhh7942@utulsa.edu
Curriculum Vitae

Developing a simulator which is based on XFEM and full-waveform inversion, integrating history matching with seismic to solve production problems.

Wen Cao
wec8371@utulsa.edu
Curriculum Vitae

I am working on developing a theoretical basis and practical application of promising class of safeguarding strategy in the context of the solution of complex physics.

Siwei Zhao
siz8298@utulsa.edu
Curriculum Vitae

Developing a data-driven choke management method for primary production in unconventional reservoirs.
Developing and testing a choke-setting control procedure that results in improved profitability over a 5-10 year time horizon.

Eric Wang
juw237@utulsa.edu
Curriculum Vitae

Developing a generic Multi-Physics reservoir simulator which concerned generality and computational performance.