Unified thermo-compositional-mechanical framework for reservoir simulation

Garipov, Timur; Tomin, Pavel; Rin, Ruslan; Voskov, Denis; Tchelepi, Hamdi A.

doi:10.1007/s10596-018-9737-5

Cited by 71 publications

(36 citation statements)

References 59 publications

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“…In this study, we discuss modifications of a discretization scheme for the geomechanical part only, since we use existing capabilities of the research simulator AD‐GPRS developed at Stanford University. The simulator allows us to solve the variety of multiphysics problems including coupled thermal‐compositional flow and geomechanics . The details of approximation techniques of the mass and energy conservation equations can be found in previous works …”

Section: Solution Methodsmentioning

confidence: 99%

Discrete fracture model for simulating waterflooding processes under fracturing conditions

Gallyamov

Garipov

Voskov

et al. 2018

Num Anal Meth Geomechanics

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In our study, we develop a model for simulating fracturing processes in a poroelastic medium. The proposed approach combines the discrete fracture model enriched with contact plane mechanics. The model captures mechanical interactions of fractures and a deformable medium, fluid, and heat transfer in fractures and in a porous medium. Both effects of poroelasticity and thermoelasticity are accounted in our model. Mass and heat conservation equations are approximated by the finite volume method, and mechanical equilibrium equations are discretized by means of the Galerkin finite element approach. Two-dimensional grid facets between 3-dimensional finite elements are considered as possible fracture surfaces. Most of these facets are inactive from the beginning and are activated throughout the simulation. A fracture propagation criterion, based on Irwin's approach, is verified on each nonlinear iteration. When the criterion is satisfied, additional contact elements are added into finite element and discrete fracture model formulations respectively. The proposed approach allows modeling of existing natural and artificially created fractures within one framework. The model is tested on single-and multiplephase fluid flow examples for both isothermal and thermal conditions and verified against existing semianalytical solutions. The applicability of the approach is demonstrated on an example of practical interests where a sector model of an oil reservoir is simulated with different injection and production regimes.

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Section: Solution Methodsmentioning

confidence: 99%

Discrete fracture model for simulating waterflooding processes under fracturing conditions

Gallyamov

Garipov

Voskov

et al. 2018

Num Anal Meth Geomechanics

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“…The model is numerically solved using the Automatic Differentiation General Purpose Research Simulator (ADGPRS) (Voskov, 2012;Zaydullin et al, 2014;Garipov et al, 2016Garipov et al, , 2018.…”

Section: Modeling Approachmentioning

confidence: 99%

Multi-Level Discrete Fracture Model For Carbonate Reservoirs

Voskov

2018

Proceedings

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The main challenge for predictive simulation of carbonate reservoirs is associated with large uncertainties in the geological characterization of the reservoir with multiple features including fractures and cavities. This type of reservoirs requires robust and efficient forward-simulation capabilities to apply data assimilation or optimization technique under uncertainties. The interaction between reservoir matrix and various features introduces a complex multi-scale flow response driven by global boundary conditions. The Discrete Fracture Models (DFM), which represent fractures explicitly, is capable to accurately depict all important features of flow behavior. However, these models are constrained by many degrees of freedom and corresponding computational efficiency when the fracture network becomes complicated. The Embedded DFM, which represents the interaction between matrix and fractures analytically, is an efficient approximation. However, it cannot accurately reproduce the effect of local flow conditions, especially when the secondary fractures are present. In this study, we applied a numerical upscaling of DFM models to a triple continuum model where large features are represented explicitly using the numerical EDFM and small features are upscaled as a third continuum. In this approach, we discretize the original geo-model with unstructured grid based on DFM and associate the mesh geometry with large features in the model. Using the global solution, we generate local boundary conditions for the model capturing the response of primary features to the flow. Applying local boundary conditions, we resolve all secondary features using a fine scale solution and update the local boundary conditions. This procedure is applied iteratively using the local-global-upscaling formalism. To demonstrate the accuracy of the Multi-Level Discrete Fracture Model, several realistic cases have been tested. By comparing with fine scale DFM solution and the traditional EDFM technique, we demonstrate that the proposed model is accurate enough to capture the flow behavior in complex fractured systems with advanced computational efficiency.

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“…The governing equations are discretized and solved using the Automatic Differentiation General Purpose Research Simulator (ADGPRS) developed at Stanford University (Voskov, 2012;Zaydullin et al, 2014;Garipov et al, 2018).…”

Section: Governing Equations For Forward Simulationmentioning

confidence: 99%