A5033541460- Enhanced Oil Recovery Techniques
- Advanced Numerical Methods in Computational Mathematics
- Reservoir Engineering and Simulation Methods
- Advanced Mathematical Modeling in Engineering
- Hydraulic Fracturing and Reservoir Analysis
- Groundwater flow and contamination studies
- CO2 Sequestration and Geologic Interactions
- Hydrocarbon exploration and reservoir analysis
- Lattice Boltzmann Simulation Studies
- Composite Material Mechanics
- Seismic Imaging and Inversion Techniques
- Computational Fluid Dynamics and Aerodynamics
- Phase Equilibria and Thermodynamics
- Probabilistic and Robust Engineering Design
- Methane Hydrates and Related Phenomena
- Drilling and Well Engineering
- Numerical methods for differential equations
- Matrix Theory and Algorithms
- Heat and Mass Transfer in Porous Media
- NMR spectroscopy and applications
- Model Reduction and Neural Networks
- Fluid Dynamics and Heat Transfer
- Soil and Unsaturated Flow
- Geophysical and Geoelectrical Methods
- Numerical methods in engineering
Stanford University
2016-2025
Stanford Medicine
2006-2017
Environmental and Water Resources Engineering
2016-2017
Stratford University
2013-2016
Texas A&M University
2016
ETH Zurich
2010
Chevron (Netherlands)
1999-2005
Chevron (United States)
1996-2002
Chevron (China)
1997-1999
Petroleum Technology Company (Norway)
1997-1999
We present a linear stability analysis of density-driven miscible flow in porous media the context carbon dioxide sequestration saline aquifers. Carbon dissolution into underlying brine leads to local density increase that results gravitational instability. The physical phenomenon is analogous thermal convective instability semi-infinite domain, owing step change temperature at boundary. critical time for onset convection such problems has not been determined accurately by previous studies....
Machine learning (ML) provides novel and powerful ways of accurately efficiently recognizing complex patterns, emulating nonlinear dynamics, predicting the spatio-temporal evolution weather climate processes. Off-the-shelf ML models, however, do not necessarily obey fundamental governing laws physical systems, nor they generalize well to scenarios on which have been trained. We survey systematic approaches incorporating physics domain knowledge into models distill these broad categories....
Geological carbon dioxide (CO 2 ) storage is a means of reducing anthropogenic emissions. Dissolution CO into the brine, resulting in stable stratification, increases security. The dissolution rate determined by convection brine driven increase density with saturation. We present new analogue fluid system that reproduces convective behaviour ‐enriched brine. Laboratory experiments and high‐resolution numerical simulations show flux scales Rayleigh number to 4/5 power, contrast classical...
Motivated by geological carbon dioxide (CO 2 ) storage, we present a vertical-equilibrium sharp-interface model for the migration of immiscible gravity currents with constant residual trapping in two-dimensional confined aquifer. The acts as loss term that reduces current volume continuously. In limit horizontal aquifer, interface shape is self-similar at early and late times. spreading decay its are governed power-laws. At times exponent scaling law independent residual, but it decreases...
Deep learning techniques have recently been applied to a wide range of computational physics problems. In this paper, we focus on developing physics-based approach that enables the neural network learn solution dynamic fluid-flow problem governed by nonlinear partial differential equation (PDE). The main idea informed machine (PIML) approaches is encode underlying physical law (i.e., PDE) into as prior information. We investigate applicability PIML forward immiscible two-phase fluid...
A micro-continuum approach is proposed to simulate the dissolution of solid minerals at pore scale under single-phase flow conditions. The employs a Darcy–Brinkman–Stokes formulation and locally averaged conservation laws combined with immersed boundary conditions for chemical reaction surface. methodology compares well arbitrary-Lagrangian–Eulerian technique. simulation framework validated using an experimental microfluidic device image single calcite crystal. evolution crystal during...
We present a multiscale finite-volume (MSFV) method for multiphase flow and transport in heterogeneous porous media. The approach extends our recently developed MSFV single-phase flow. use sequential scheme that deals with (i.e., pressure total velocity) saturation) separately differently. For the problem, we employ two different sets of basis functions reconstruction conservative fine-scale velocity field. Our are designed to have local support, allows adaptive computation criterion based...
Summary We perform detailed stability and convergence analyses of sequential-implicit solution methods for coupled fluid flow reservoir geomechanics. analyze four different strategies, where each subproblem (flow mechanics) is solved implicitly: two schemes in which the mechanical problem first—namely, drained undrained splits—and fixed-strain fixed-stress splits. The von Neumann method used to obtain linear-stability criteria sequential schemes, numerical simulations are test validity...
Summary The paper deals with the numerical solution of Biot's equations coupled consolidation obtained by a mixed formulation combining continuous Galerkin finite‐element and multipoint flux approximation finite‐volume methods. algorithm relies on recently developed fixed‐stress scheme, in which first flow problem then mechanical one are addressed iteratively. We show that can be interpreted as particular block triangular preconditioning strategy applied within Richardson iteration. key...
Coupled poromechanical problems appear in a variety of disciplines, from reservoir engineering to biomedical applications. This work focuses on efficient strategies for solving the matrix systems that result discretization and linearization governing equations. These have an inherent block structure due coupled nature mass momentum balance Recently, several iterative solution schemes been proposed exhibit stable rapid convergence solution. distinct, but unifying feature is they exploit...
Summary Oil shale is a highly abundant energy resource, though commercial production has yet to be realized. Thermal in-situ upgrading processes for producing hydrocarbons from oil have gained attention recently, however, in part because of promising results reported by Shell using its conversion process (Crawford et al. 2008). This and similar entail heating the approximately 700°F (371°C), where kerogen decomposes through series chemical reactions into liquid gas products. In this paper,...
Abstract This manuscript presents a benchmark problem for the simulation of single-phase flow, reactive transport, and solid geometry evolution at pore scale. The is organized in three parts that focus on specific aspects: flow transport (part I), dissolution-driven two dimensions II), an experimental validation three-dimensional III). Five codes are used to obtain solution this problem, including Chombo-Crunch, OpenFOAM-DBS, lattice Boltzman code, Vortex, dissolFoam. These cover good...
A micro-continuum approach is proposed to simulate the dissolution of solid minerals at pore scale in presence multiple fluid phases. The employs an extended Darcy–Brinkman–Stokes formulation that accounts for interfacial tension between two immiscible phases and moving contact line mineral surface. simulation framework validated using experimental microfluidic device provides time-lapse images dynamics. set-up involves a single-calcite crystal subsequent generation $\text{CO}_{2}$ bubbles...
Abstract Successful deployment of geological carbon storage (GCS) requires an extensive use reservoir simulators for screening, ranking and optimization sites. However, the time scales GCS are such that no sufficient long-term data is available yet to validate against. As a consequence, there currently solid basis assessing quality with which dynamics large-scale operations can be forecasted. To meet this knowledge gap, we have conducted major validation benchmark study. achieve reasonable...