Zobrazeno 1 - 10
of 418
pro vyhledávání: '"Tchelepi, Hamdi A."'
X-ray micro-computed tomography (X-ray micro-CT) is widely employed to investigate flow phenomena in porous media, providing a powerful alternative to core-scale experiments for estimating traditional petrophysical properties such as porosity, single
Externí odkaz:
http://arxiv.org/abs/2410.18937
Autor:
Aronson, Ryan M., Tomin, Pavel, Castelletto, Nicola, Hamon, François P., White, J. A., Tchelepi, Hamdi A.
We study in detail the pressure stabilizing effects of the non-iterated fixed-stress splitting in poromechanical problems which are nearly undrained and incompressible. When applied in conjunction with a spatial discretization which does not satisfy
Externí odkaz:
http://arxiv.org/abs/2409.16257
The interaction of multiple fluids through a heterogeneous pore space leads to complex pore-scale flow dynamics, such as intermittent pathway flow. The non-local nature of these dynamics, and the size of the 4D datasets acquired to capture them, pres
Externí odkaz:
http://arxiv.org/abs/2409.13960
We consider the numerical behavior of the fixed-stress splitting method for coupled poromechanics as undrained regimes are approached. We explain that pressure stability is related to the splitting error of the scheme, not the fact that the discrete
Externí odkaz:
http://arxiv.org/abs/2402.10469
The injection of CO$_2$ into underground reservoirs provides a long term solution for anthropogenic emissions. A variable injection method (such as ramping the flow rate up or down) provides flexibility to injection sites, and could increase trapping
Externí odkaz:
http://arxiv.org/abs/2307.14075
Autor:
Ju, Xin, Hamon, François P., Wen, Gege, Kanfar, Rayan, Araya-Polo, Mauricio, Tchelepi, Hamdi A.
Deep-learning-based surrogate models provide an efficient complement to numerical simulations for subsurface flow problems such as CO$_2$ geological storage. Accurately capturing the impact of faults on CO$_2$ plume migration remains a challenge for
Externí odkaz:
http://arxiv.org/abs/2306.09648
Autor:
Flemisch, Bernd, Nordbotten, Jan M., Fernø, Martin, Juanes, Ruben, Class, Holger, Delshad, Mojdeh, Doster, Florian, Ennis-King, Jonathan, Franc, Jacques, Geiger, Sebastian, Gläser, Dennis, Green, Christopher, Gunning, James, Hajibeygi, Hadi, Jackson, Samuel J., Jammoul, Mohamad, Karra, Satish, Li, Jiawei, Matthäi, Stephan K., Miller, Terry, Shao, Qi, Spurin, Catherine, Stauffer, Philip, Tchelepi, Hamdi, Tian, Xiaoming, Viswanathan, Hari, Voskov, Denis, Wang, Yuhang, Wapperom, Michiel, Wheeler, Mary F., Wilkins, Andrew, Youssef, AbdAllah A., Zhang, Ziliang
Successful deployment of geological carbon storage (GCS) requires an extensive use of reservoir simulators for screening, ranking and optimization of storage sites. However, the time scales of GCS are such that no sufficient long-term data is availab
Externí odkaz:
http://arxiv.org/abs/2302.10986
Autor:
Gasmi, Cedric Fraces, Tchelepi, Hamdi
We present a Parametrization of the Physics Informed Neural Network (P-PINN) approach to tackle the problem of uncertainty quantification in reservoir engineering problems. We demonstrate the approach with the immiscible two phase flow displacement (
Externí odkaz:
http://arxiv.org/abs/2205.12730
Comparison of nonlinear field-split preconditioners for two-phase flow in heterogeneous porous media
This work focuses on the development of a two-step field-split nonlinear preconditioner to accelerate the convergence of two-phase flow and transport in heterogeneous porous media. We propose a field-split algorithm named Field-Split Multiplicative S
Externí odkaz:
http://arxiv.org/abs/2205.05913
Autor:
Ju, Xin, Hamon, François P., Wen, Gege, Kanfar, Rayan, Araya-Polo, Mauricio, Tchelepi, Hamdi A.
Publikováno v:
In Computers and Geosciences November 2024 193
