Feature_publications

A new parallel Robin-Robin adaptive iterative coupling algorithm with dynamic relaxation parameters is proposed for the boundary element method (BEM), and relaxation parameters are derived for other existing iterative coupling algorithms. The performances of the new algorithm and of the modified existing algorithms are investigated in terms of convergence properties with respect to the number of subdomains, mesh density, interface mesh conformity, and BEM element types.

A Wavelet Convolutional Neural Network (CNN) model that incorporates discrete wavelet decomposition is presented, and its capability in segmenting subsurface faults is analyzed.

Tracing streamlines launched from a wellbore is important, especially for time-sensitive transport behaviors. An embedded grid-free approach to integrate near-wellbore transport behaviors into streamline simulations is developed.

A new Boundary Element Method (BEM) technique with discontinuous quadratic elements, in conjunction with a parallel Domain Decomposition Method (DDM), is presented for the simulation of the steady-state fluid flow in DFNs, consisting of stochastically generated 3D planar fractures, arbitrarily oriented, and having differing hydraulic properties.

In this paper, we develop a viscosity robust weak Galerkin finite element scheme for Stokes equations. The major idea for achieving pressure independent energy-error estimate is to use a divergence preserving velocity reconstruction operator.

In this work, for the first time, a streamline-based model is presented to simulate NP transport in field-scale subsurface systems with heterogeneous permeability. It considers a series of smart behaviors exhibited by engineered nanoparticles (NPs), including time-triggered encapsulation, retention, formation damage effects and variable nanofluid viscosity.

In this article, an open-source code for the simulation of fluid flow, including adsorption, transport, and indirect hydromechanical coupling in unconventional fractured reservoirs is described. The code leverages cutting-edge numerical modeling capabilities like automatic differentiation, stochastic fracture modeling, multicontinuum modeling, and discrete fracture models.

We describe C++ programming techniques that may help to accelerate linear solvers for such problems. It results in up to 4 times speedup and reduces the memory footprint of the algorithm by about 40%.

we performed a series of fracturing experiments on tight sandstones using water and SC-CO2 at different stress magnitudes. To explore the morphology of the fractures and quantify their attributes, we proposed a novel full-sample fracture analysis approach, which is based on microcomputed tomography (CT) imaging.

A novel fracture analysis approach based on CT scanning is also proposed to quantitatively analyze the micromorphology of fractures including fracture network pattern, fractal dimension (FD), aperture, area ratio (AR) and fracture volume etc. Results show that water and N2 can only induce a relatively simple fracture pattern.