Stanford Petroleum Engineering Thesis

Stanford Petroleum Engineering Thesis-44
I work on multiscale stochastic modeling of granular materials.

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I'm a contributor to the AD-GPRS and GEOSX projects.

I am interested in the recovery of unconventional hydrocarbon resources and mitigating carbon emissions from fossil fuels via geological sequestration of greenhouse gases.

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.

My Ph D project involves modeling and simulation of In-Situ Combustion (ISC) processes at the lab scale using an in-house general purpose reservoir simulator.

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The complexity of the physics and chemistry involved in ISC makes it highly challenging to accurately simulate, especially in a reasonable time frame.It is an example of anhigh-dimensional partial-differential equation (PDE) and describes theevolution of a joint probability function.Due to the curse of dimensionalitythese kind of equations are notoriously hard to solve.Students and post-doctoral fellows in my research group work on carbon dioxide storage, energy systems analysis, and pathways for transitioning to a low-carbon energy system.The Boltzmann Transport Equation has important applications in bothnon-continuum fluid mechanics and semiconductor research.The scientific focus of my research is to understand and develop capabilities to predict and control multiphase flow and transport processes in porous media at the micron/nano scale and to translate such fundamental knowledge to large-scale mathematical descriptions useful for analyzing engineering problems.Mei Mei's current research is focusing on basin modeling for the Vaca Muerta source rock sequence of Argentina to better understand the petroleum generation, expulsion, and migration history.The problem is tackled using various uncertainty quantification techniques such as Multilevel Monte Carlo, the PDF method and moments equations.Furthermore, I develop stochastic differential equations that address the chaotic nature of granular systems.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.


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