School of Earth, Energy and Environmental Sciences
Showing 1-77 of 77 Results
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Jaewoo An
Ph.D. Student in Energy Resources Engineering
Current Research and Scholarly InterestsCoupling of geomechanics and reservoir simulation
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Folasade Ayoola
Ph.D. Student in Energy Resources Engineering
Masters Student in Energy Resources EngineeringCurrent Research and Scholarly InterestsMethods for California oil field emissions reduction using produced water
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Joseph Bakarji
Ph.D. Student in Energy Resources Engineering
Current Research and Scholarly InterestsI work on multiscale stochastic modeling of granular materials. I introduce randomness in deterministic equations to account for subscale physics and microstructural heterogeneity. 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.
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Sebastian Bosma
Ph.D. Student in Energy Resources Engineering
BioI am a passionate PhD student in the department of Energy Resources Engineering. Coming from a diverse academic background in aerospace engineering, financial engineering and energy resources engineering, I hope to contribute to creating a zero-carbon clean energy future. I am a dedicated quantitative engineer working on efficient and accurate algorithms for carbon sequestration, gas production and energy efficiency. More broadly, I'm very interested in all developments in CleanTech!
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Anthony Bou Karim
Masters Student in Energy Resources Engineering
Current Research and Scholarly InterestsPerforming stability analysis on acoustofluidics at the micro and nano scales using the energy perturbation method. 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. Direct applications are acoustic waves in batteries to prohibit/delay the formation of dendrites on the anode/cathode implying a longer battery life.
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Matthias Cremon
Ph.D. Student in Energy Resources Engineering
Current Research and Scholarly InterestsMy PhD project involves modeling and simulation of In-Situ Combustion (ISC) processes at the lab scale using an in-house general purpose reservoir simulator. The complexity of the physics and chemistry involved in ISC makes it highly challenging to accurately simulate, especially in a reasonable time frame. 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.
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Cedric Fraces
Ph.D. Student in Energy Resources Engineering
BioPhD candidate in Energy Resources Engineering with over 10 years of experience in the Energy industry. Covered a variety of roles from field engineering to project management in consulting, service and operating companies. Worked on major oilfields in China, Iraq, Kuwait, Mexico, Colombia and interacted with top executives in corresponding National Oil Companies.
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Laura Froute
Ph.D. Student in Energy Resources Engineering
Current Research and Scholarly InterestsMy research focuses on developing high-resolution imaging methodologies applicable to shale, using μCT, FIB-SEM, and STEM techniques at ambient and cryogenic temperatures. 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.
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Olga Fuks
Ph.D. Student in Energy Resources Engineering
Current Research and Scholarly InterestsMy PhD research lies in the area of stochastic analysis of subsurface flow and study of stochastic PDEs. Specifically, I am working on the development of accurate and fast methods for uncertainty propagation and risk assessment of two-phase flow for complex geological models.
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Halldora Gudmundsdottir
Ph.D. Student in Energy Resources Engineering
Current Research and Scholarly InterestsMy PhD research focuses on developing predictive models for geothermal systems. 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.
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Su Jiang
Ph.D. Student in Energy Resources Engineering
Current Research and Scholarly InterestsData-Space Inversion for Well Control Optimization and Approximate Posterior Model Selection
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Sergey Klevtsov
Ph.D. Student in Energy Resources Engineering
Current Research and Scholarly InterestsMy 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'm a contributor to the AD-GPRS and GEOSX projects. -
Filippos Kostakis
Ph.D. Student in Energy Resources Engineering
Current Research and Scholarly InterestsMutlifidelity strategies for uncertainty quantification, data assimilation and optimization in oil and gas reservoirs.
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Yuanjun Li
Ph.D. Student in Energy Resources Engineering
Current Research and Scholarly Interests- Application of deep learning approaches for pressure history regeneration.
- Smart oilfield technologies and oilfield optimization
- Time series production data analysis with deep learning -
Hailun Ni
Ph.D. Student in Energy Resources Engineering
Current Research and Scholarly InterestsGeologic CO2 storage
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Esuru Okoroafor
Ph.D. Student in Energy Resources Engineering
BioRita Esuru Okoroafor is currently a Graduate student at the Energy Resources Engineering Department. She is interested in coupling Geomechanics with Reservoir Engineering of Enhanced Geothemal Systems.
Prior to the graduate program, she has worked with Schlumberger for over 12 years. Most of her work experience has been on the fields in the Gulf of Guinea. She has held the positions of Borehole Reservoir Engineer, Reservoir and Production Engineering Team Lead, Sales Manager, Reservoir Domain Champion and Real Time Productivity Steering Product Analyst.
Her technical roles resulted in extensive experience on Formation Testing, Petrophysics, Well Testing, Production Logging, Well Integrity and Single Well Simulation and Production Forecasting, from which she has ten technical papers published, one granted patent and one patent application.
Her non-technical roles gave her an opportunity to develop skills in leadership, communication, presentation and customer relationship management.
Since 2005, Rita has been an active volunteer with the Society of Petroleum Engineers (SPE), holding leadership and committee member positions, locally, regionally and internationally.
Her other interest includes writing and she is the author of the fiction novels "Against The Perfect Will" and "Morning Does Come". -
Dante Orta Aleman
Ph.D. Student in Energy Resources Engineering
Current Research and Scholarly InterestsHis current research focuses in the use of machine-learning models for automatic interpretation of temperature profiles in Oil & Gas wells.
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Ahinoam Pollack
Ph.D. Student in Energy Resources Engineering
Current Research and Scholarly InterestsOptimization of Enhanced Geothermal Systems Under Uncertainity
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Anshuman Pradhan
Ph.D. Student in Energy Resources Engineering
BioI am a fourth year PhD student in the department of Energy Resources Engineering. My research focuses on building reliable descriptions of hydrocarbon reservoirs by transcending disciplinary boundaries. My work on seismic imaging algorithms during my Bachelor’s and Master’s degree and the insights I have gleaned with about eight years of studying geosciences have led me to believe in the value of integrating geology, geophysics and reservoir engineering. A major facet of my research encompasses developing workflows and methodologies to build robust earth models by integrating constraints from basin modeling, rock physics and seismic imaging. My research is also aimed at developing stochastic inverse methods by incorporating principles from machine learning and signal processing.
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Jeffrey Rutherford
Ph.D. Student in Energy Resources Engineering
Current Research and Scholarly InterestsFor his PhD research, Jeff is using bottom-up life cycle assessment (LCA) tools to evaluate the climate and energy intensity of energy projects. Specifically, using the Oil Production and Greenhouse-Gas Emissions Estimator (OPGEE, an open source LCA tool), Jeff is estimating the environmental impact of a sample of natural gas projects globally. Necessarily, this requires the rigorous quantification of life cycle energy consumption and fugitive emissions.
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Dong Song
Ph.D. Student in Energy Resources Engineering
BioI am a PhD student studying Energy Resources Engineering. My background includes a MS in Petroleum Engineering, a BS in Civil and Environmental Engineering, and industry experience as a petroleum engineer. I am motivated by the energy issues facing the world. My research focuses on data driven methods to understand the governing mechanisms of the data.
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Ruixiao Sun
Ph.D. Student in Energy Resources Engineering
Current Research and Scholarly InterestsThree-phase compositional simulator with gas injection for EOR
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Haoyu Tang
Ph.D. Student in Energy Resources Engineering
BioI am a PhD student majoring in Energy Resources Engineering.
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Holger Christian Philipp Teichgraeber
Ph.D. Student in Energy Resources Engineering
BioHolger Teichgraeber is a Ph.D. candidate in the Department of Energy Resources Engineering at Stanford University. He is a Wells Family Stanford Graduate Fellow and is advised by Prof. Adam Brandt.
In his research, he focuses on applying state-of-the-art computational tools at the intersection of optimization and machine learning to energy systems problems. As an example, he has worked extensively on the development of new algorithms and applications of time-series aggregation for infrastructure planning and operations.
Out of his research, two open-source software packages have emerged: TimeSeriesClustering implements unsupervised learning methods for time-series data (git.io/TimeSeriesClustering), and CapacityExpansion provides an extensible, data-driven infrastructure planning tool for energy systems (git.io/CapacityExpansion).
Holger has previously interned at the battery software company Doosan GridTech; in the renewable energy forecasting division of Vaisala (formerly 3Tier); in the market optimization group at RWE Power, one of Europe's largest utility companies; and at ThyssenKrupp, one of the world's largest steel producers. -
Clothilde Marie Aline Venereau
Masters Student in Energy Resources Engineering
Current Research and Scholarly InterestsCapacity expansion modeling of California's future electricity grid to meet decarbonization goals under different electricity demand scenarios.
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Gregory Von Wald
Ph.D. Student in Energy Resources Engineering
Current Research and Scholarly InterestsSimulation and optimization of low-carbon energy systems
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Ziyan Wang
Ph.D. Student in Energy Resources Engineering
BioI am a PhD student in Ilenia Battiato’s group at the Department of Energy Resources Engineering in Stanford University. My research focuses on developing hybrid multiscale methods for unconventional hydrocarbon recovery. Currently, I am conducting simulations of reactive transport during hydraulic fracturing. This research helps to reuse hydraulic fracture fluid efficiently, which can reduce the environmental impacts of unconventional hydrocarbon production.
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Ross Weber
Ph.D. Student in Energy Resources Engineering
Current Research and Scholarly InterestsI combine machine learning and physics-based modeling to develop algorithms for quantifying microstructural effects in Lithium-ion battery electrodes in computationally efficient ways. This can enable Battery Management Systems (BMS) to access real-time microscale information, which can allow for optimal battery control for improved safety and prolonged lifetime.
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Gege Wen
Ph.D. Student in Energy Resources Engineering
BioGege Wen is a Ph.D. candidate in the Benson Lab. She obtained her B.S. degree from the Mining Engineering Department at the University of Toronto and an M.S. degree from the Civil and Environmental Engineering Department at Stanford University.
Her Ph.D. research focuses on using deep learning to conduct fast multiphase flow simulation. -
Timothy Yeo
Ph.D. Student in Energy Resources Engineering
Current Research and Scholarly InterestsNumerical simulation of the fully coupled fluid flow and geomechanical deformation in fractured reservoirs using the method of augmented Lagrangian and discrete fracture model
