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Edith Sotelo Gamboa
Edith Sotelo Gamboa
(979) 845-2451
(979) 845-6162
Halbouty 318

Department of Geology and Geophysics

Texas A&M University

3115 TAMU

College Station, Texas 77843-3115


PhD, Geophysics, Texas A&M (2019, Expected)

Ms, Petroleum Engineering, Texas A&M

Bs, Chemical Engineering, Universidad Nacional De Ingenieria, Peru


*SEG Scholarship (2016-2017)

*Berg Hughes Summer Fellowship (2017)

*Crisman Institute Research Assistantship (2011-2014)


In charge of the lab part of the following courses:

Geop 341: Global Geophysics (Spring 2017)

Geop 421: Petroleum Seismology I (Fall 2016)

Geop 435: Principles of Geophysical Exploration (Spring 2016)

Geol 101:  Principles of Geology (Fall 2015)

Edith Sotelo Gamboa

Graduate Student

Research Interests


- Finite Element Methods for modeling seismic wave propagation

- Stochastic Modeling of Discrete Fracture Networks

- Microseismic processing

- Inversion for seismic source mechanisms

Research Summary:

My current research focuses on developing efficient numerical methods to optimize seismic wave propagation applying the Finite Element Method. The approach relies on implementing special basis functions, in addition to the traditional Lagrange polynomials, that are extracted from known analytical solutions. The main application focuses on capturing the behavior of seismic waves with small wavelengths without the need of excessive mesh refinement, as in the case of media with high velocity contrast (ex. karstic environments) and high frequency sources (ex. microseismicity). This application is being developed in C++, Linux environment, using the open source library Deal.II.

Other research experience includes stochastic modeling of Discrete Fracture Networks (DFN) constrained by field data, application of inversion techniques to estimate source mechanisms (rapture mode) for microseismic events, as well as studies on the effect of fracture characterization uncertainties on fluid production. These projects were developed in MATLAB and Mathematica. The main goal of the stochastic DFN modeling was to create possible realizations of fracture systems induced by hydraulic fracturing. The modeling was constrained by the location of microseisms and core data analysis. The goal of the source mechanisms estimation was to further constrain the generation of DFN by finding rapture parameters (strike, dip and rake) of induced fractures. In this case, inversion of P-S amplitude by least squares was performed. For the uncertainty analysis, several DFN realizations were created to obtain a cumulative density function of DFN area, from which different percentiles of fluid production were estimated. In this case, to improve the computational efficiency, an optimized sampling technique, Latin hypercube, was implemented

Selected Publications

Sotelo Gamboa E., Sun J., Schechter D. 2016. Reducing Uncertainties of Fracture Characterization on Production Performance by Incorporating Microseismic and Core Analysis Data. Presented at the SPE Asia Pacific Hydraulic Fracturing Conference held in Beijing, China, 24-26 August 2016.

Additional Information

Advisor: Richard Gibson
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