A5086408991- Hydraulic Fracturing and Reservoir Analysis
- Advanced Numerical Methods in Computational Mathematics
- Reservoir Engineering and Simulation Methods
- Enhanced Oil Recovery Techniques
- Hydrocarbon exploration and reservoir analysis
- Seismic Imaging and Inversion Techniques
- Drilling and Well Engineering
- Computational Fluid Dynamics and Aerodynamics
- Groundwater flow and contamination studies
- Advanced Mathematical Modeling in Engineering
- Fluid Dynamics and Turbulent Flows
- Dam Engineering and Safety
- CO2 Sequestration and Geologic Interactions
- Lattice Boltzmann Simulation Studies
- Numerical methods in engineering
- Rock Mechanics and Modeling
- Numerical methods for differential equations
- NMR spectroscopy and applications
- Model Reduction and Neural Networks
- Technology Adoption and User Behaviour
- Vehicle License Plate Recognition
- Seismic Waves and Analysis
- Differential Equations and Numerical Methods
- Geological Studies and Exploration
- Advanced Physical and Chemical Molecular Interactions
Chevron (United States)
2020-2024
Chevron (China)
2022-2023
Huaiyin Institute of Technology
2023
Chevron (Netherlands)
2021-2022
China University of Petroleum, East China
2019
Stanford University
2017-2019
University of Tulsa
2014-2017
Summary Unconventional reservoirs are the focus of considerable attention as a primary energy source. Numerical simulation is core kernel reservoir-engineering work flows for reservoir evaluation, optimization, and management. Accurate efficient numerical unconventional challenging. There substantial physical complexity involving number tightly coupled mechanisms in modeling these reservoirs. The further amplified by multicontinuum nature stimulated formation, complex fracture networks with...
Abstract Shale gas reservoirs have been proposed as feasible choices of location for injection CO2 and/or N2 because this method could enhance recovery natural resources, while at the same time sequester underground. In paper, a fully coupled multi-continuum multi-component simulator which incorporates several transport/storage mechanisms is developed. To accurately capture physics behind transport process in shale nanopores, Kundsen diffusion and slippage are included flow model. An...
Numerical modeling of flow dynamics with multiple fluid phases in subsurface fractured porous media is great significance to numerous geoscience applications. Discrete fracture-matrix (DFM) approaches become popular for simulating reservoirs the last decade. Data-driven surrogate models can provide computationally efficient alternatives high-fidelity numerical simulators. Although convolutional neural networks (CNNs) are effective at approximating space-time solutions multiphase flowing...
Summary The production of shale oil and gas has experienced a substantial rise over the past decades. However, traditional numerical simulators have shown significant inconsistencies in forecasting ultimate recovery rates, primarily due to widespread nanoscale pores reservoirs, which induce pronounced capillary pressure (Pc) between liquid phases, leading deviations phase behavior. Besides, numerous convergence problems formulation issues are reported for Gibbs free energy-based equilibrium...
Unconventional reservoirs are typically comprised of a multicontinuum stimulated formation, with complex fracture networks that have wide range length scales and geometries. A timely topic in the simulation unconventional petroleum resources is coupling geomechanics fractured media to multiphase fluid flow transport. We propose XFEM-EDFM method which couples tight gas reservoirs. proppant model developed simulate propped hydraulic fractures. The verified by analytical solutions. example...
Abstract A mixed discretization approach is propsed to adequately resolve fracture system while accurately and efficiently modeling both flow geomechanics. An extended finite element method (XFEM) applied approximate the geomechanics, an embedded-discrete-fracture model (EDFM) used multiphase equations. The two schemes are fully coupled, time for fully-implicit. Moreover, a hybrid representation concept employed where dual porosity in conjunction with embedded discrete order capture...
Abstract To quantify the uncertainty in reservoir performance, it is common to build ensembles of models that sample space possible reservoirs are consistent with available data. evaluate spread outcomes, simulations experiments run for each model ensemble calculate instance recovery factor. The geoscreening workflow a way do this systematically and reasonable time. It can work as follows: First, simplified physics factor every ensemble. Then, use (and other quantities) rank select...
Abstract There is considerable and timely interest in oil condensate production from liquid-rich regions, placing emphasis on the ability to predict behavior of gas bank developments saturation dynamics shale reservoirs. As pressure near-wellbore region drops below dew-point, liquid droplets are formed tend be trapped small pores. It has been suggested that injection CO2 into reservoirs can a feasible option enhance recovery natural valuable oil, while at same time sequestering underground....