Stanford Petroleum Engineering Thesis

Stanford Petroleum Engineering Thesis-70
Multiscale datasets with structural, mineralogical and microfluidic information down to nanometer resolution will provide a better understanding of pore network morphology and connectivity, fluid-rock affinities, relevant scales for hydrocarbon transport, and displacement processes during production.My Ph D research lies in the area of stochastic analysis of subsurface flow and study of stochastic PDEs.

This is done by embedding physics based features as numerical enrichment to communicate fracture related information across the scales resulting in a better conditioned systems and faster convergence.

I study fluid and solid mechanics in porous materials at the intersection of energy, water, and the environment.

Research Field: Synthesis & characterization of thin inorganic/polymer membranes, adsorbents, and conductive membranes; Characterization of well-core & heavy oil; CO2 separation & sequestration process; Enhanced oil recovery method for offshore oil field; fuel cells system & hydrogen production.

My research interests include numerical linear algebra, multiscale methods, efficient linear solvers and preconditioners for subsurface flow and mechanics modeling, parallel and high-performance computing (HPC) and architectures.

I am interested in direct predictions of the future performance of geothermal reservoirs as well as characterization of the subsurface flow behavior that can aid in operational decision making.

Currently, I am incorporating principles from statistics and artificial intelligence into workflows that can be used for production and injection optimization.

We hope to improve the general knowledge about the numerical simulation of ISC and mitigate some of its main issues through design, implementation and testing of new models.

My research focuses on developing high-resolution imaging methodologies applicable to shale, using μCT, FIB-SEM, and STEM techniques at ambient and cryogenic temperatures.

Non-linear analysis is performed to understand the stability of specific solutions.

Bifurcation parameters are identified and numerical techniques are used to complement the study and validate experimental data.


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