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Uncertainty quantification in reservoirs with faults using a sequential approach Comput. Geosci. (IF 1.807) Pub Date : 2021-01-15 Samuel Estes, Clint Dawson
Reservoir simulation is critically important for optimally managing petroleum reservoirs. Often, many of the parameters of the model are unknown and cannot be measured directly. These parameters must then be inferred from production data at the wells. This is an inverse problem which can be formulated within a Bayesian framework to integrate prior knowledge with observational data. Markov Chain Monte
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The LBPM software package for simulating multiphase flow on digital images of porous rocks Comput. Geosci. (IF 1.807) Pub Date : 2021-01-14 James E. McClure, Zhe Li, Mark Berrill, Thomas Ramstad
Direct pore scale simulations of two-fluid flow on digital rock images provide a promising tool to understand the role of surface wetting phenomena on flow and transport in geologic reservoirs. We present computational protocols that mimic conventional special core analysis laboratory (SCAL) experiments, which are implemented within the open source LBPM software package. Protocols are described to
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Optimal feature selection for SAR image classification using biogeography-based optimization (BBO), artificial bee colony (ABC) and support vector machine (SVM): a combined approach of optimization and machine learning Comput. Geosci. (IF 1.807) Pub Date : 2021-01-13 Omid Rostami, Mehrdad Kaveh
Land cover classification is one of the most important applications of POLSAR images. In this paper, a hybrid biogeography-based optimization support vector machine (HBBOSVM) has been introduced to classify POLSAR images of RADARSAT 2 in band C acquired from San Francisco, USA. The main purpose of this classification is to minimize the number of features and maximize classification accuracy. The proposed
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U-net generative adversarial network for subsurface facies modeling Comput. Geosci. (IF 1.807) Pub Date : 2021-01-04 Chengkai Zhang, Xianzhi Song, Leonardo Azevedo
Subsurface models are central pieces of information in different earth-related disciplines such as groundwater management and hydrocarbon reservoir characterization. These models are normally obtained using geostatistical simulation methods. Recently, methods based on deep learning algorithms have been applied as subsurface model generators. However, there are still challenges on how to include conditioning
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Mathematical properties of the foam flow in porous media Comput. Geosci. (IF 1.807) Pub Date : 2021-01-04 Luis F. Lozano, Rosmery Quispe Zavala, Grigori Chapiro
Foam is used in enhanced oil recovery to improve the sweep efficiency by controlling the gas mobility. A common way to describe the foam displacement is by using population balance models, which consider the foam texture as part of the gas phase. Numerical simulation of such equations presents serious difficulties connected to the high non-linearity in the fractional flow. The linear kinetic model
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Using machine learning for model benchmarking and forecasting of depletion-induced seismicity in the Groningen gas field Comput. Geosci. (IF 1.807) Pub Date : 2021-01-03 Jan Limbeck, Kevin Bisdom, Fabian Lanz, Timothy Park, Eduardo Barbaro, Stephen Bourne, Franz Kiraly, Stijn Bierman, Chris Harris, Keimpe Nevenzeel, Taco den Bezemer, Jan van Elk
The Groningen gas field in the Netherlands is experiencing induced seismicity as a result of ongoing depletion. The physical mechanisms that control seismicity have been studied through rock mechanical experiments and combined physical-statistical models to support development of a framework to forecast induced-seismicity risks. To investigate whether machine learning techniques such as Random Forests
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3D hybrid mesh generation with an improved vertical stretch algorithm for geometric models with pinch-out features Comput. Geosci. (IF 1.807) Pub Date : 2021-01-03 Lu Sun, Guoqun Zhao, Gour-Tsyh Yeh
Aiming at the infeasibility of using quadrilateral-prisms to describe sharp shapes, an improved vertical stretch algorithm was proposed to generate three-dimensional (3D) hybrid meshes based on the quadrilateral mesh converted from triangles to discretize the geometric models with pinch-out features. A robust and automatic mesh generator was developed, which served as a preprocessing tool for simulating
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Flexible iterative ensemble smoother for calibration of perfect and imperfect models Comput. Geosci. (IF 1.807) Pub Date : 2020-12-10 Muzammil Hussain Rammay, Ahmed H. Elsheikh, Yan Chen
Iterative ensemble smoothers have been widely used for calibrating simulators of various physical systems due to the relatively low computational cost and the parallel nature of the algorithm. However, iterative ensemble smoothers have been designed for perfect models under the main assumption that the specified physical models and subsequent discretized mathematical models have the capability to model
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Fast robust optimization using bias correction applied to the mean model Comput. Geosci. (IF 1.807) Pub Date : 2020-11-26 Lingya Wang, Dean S. Oliver
Ensemble methods are remarkably powerful for quantifying geological uncertainty. However, the use of the ensemble of reservoir models for robust optimization (RO) can be computationally demanding. The straightforward computation of the expected net present value (NPV) requires many expensive simulations. To reduce the computational burden without sacrificing accuracy, we present a fast and effective
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Recent developments combining ensemble smoother and deep generative networks for facies history matching Comput. Geosci. (IF 1.807) Pub Date : 2020-11-25 Smith W. A. Canchumuni, Jose D. B. Castro, Júlia Potratz, Alexandre A. Emerick, Marco Aurélio C. Pacheco
Ensemble smoothers are among the most successful and efficient techniques currently available for history matching. However, because these methods rely on Gaussian assumptions, their performance is severely degraded when the prior geology is described in terms of complex facies distributions. Inspired by the impressive results obtained by deep generative networks in areas such as image and video generation
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Quasi-implicit treatment of velocity-dependent mobilities in underground porous media flow simulation Comput. Geosci. (IF 1.807) Pub Date : 2020-11-19 Leonardo Patacchini, Romain de Loubens
Quasi-implicit schemes for treating velocity-dependent mobilities in underground porous media flow simulation, occurring when modeling non-Newtonian and non-Darcy effects as well as capillary desaturation, are presented. With low-order finite-volume discretizations, the principle is to evaluate mobilities at cell edges using normal velocity components calculated implicitly, and transverse velocity
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Reactive transport modeling in heterogeneous porous media with dynamic mesh optimization Comput. Geosci. (IF 1.807) Pub Date : 2020-11-18 A. Yekta, P. Salinas, S. Hajirezaie, M. A. Amooie, C. C. Pain, M. D. Jackson, C. Jacquemyn, M. R. Soltanian
This paper presents a numerical simulator for solving compositional multiphase flow and reactive transport. The simulator was developed by effectively linking IC-FERST (Imperial College Finite Element Reservoir SimulaTor) with PHREEQCRM. IC-FERST is a next-generation three-dimensional reservoir simulator based on the double control volume finite element method and dynamic unstructured mesh optimization
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Data-space inversion using a recurrent autoencoder for time-series parameterization Comput. Geosci. (IF 1.807) Pub Date : 2020-11-18 Su Jiang, Louis J. Durlofsky
Data-space inversion (DSI) and related procedures represent a family of methods applicable for data assimilation in subsurface flow settings. These methods differ from usual model-based techniques in that they provide only posterior predictions for quantities (time series) of interest, not posterior models with calibrated parameters. DSI methods require a large number (O(500–1000)) of flow simulations
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A practical method for well log data classification Comput. Geosci. (IF 1.807) Pub Date : 2020-11-17 Wawrzyniec Kostorz
In this work, a method for well log data classification is presented. The method relies on a coordinate transformation to restructure the data in an optimal way and a quasi-probabilistic interpolation technique capable of smoothing noisy data. The approach does not require case-specific design, is computationally efficient and provides a statistical characterization of the classification problem. Consequently
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Assessing an efficient hybrid of Monte Carlo technique (GSA-GLUE) in Uncertainty and Sensitivity Analysis of vanGenuchten Soil Moisture Characteristics Curve Comput. Geosci. (IF 1.807) Pub Date : 2020-11-17 Samaneh Etminan, Vahidreza Jalali, Majid Mahmoodabadi, Abbas Khashei siuki, Mohsen Pourreza Bilondi
Studying model uncertainty and identifying the parameter uncertainty in the modeling of water flow through the soil is useful to improve water and soil management. This research aimed to assess the uncertainty of tshe parameters soil water retention curve (SWRC) models using an efficient hybrid of the Monte Carlo technique e.g. generalized likelihood uncertainty estimation (GLUE). GLUE estimates the
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A model for discrete fracture-clay rock interaction incorporating electrostatic effects on transport Comput. Geosci. (IF 1.807) Pub Date : 2020-11-13 Carl I. Steefel, Christophe Tournassat
A model based on the code CrunchClay is presented for a fracture-clay matrix system that takes electrostatic effects on transport into account. The electrostatic effects on transport include those associated with the development of a diffusion potential as captured by the Nernst-Planck equation, and the formation of a diffuse layer bordering negatively charged clay particles within which partial anion
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Development of efficient and robust Eikonal solver variants for first-arrival seismic modeling Comput. Geosci. (IF 1.807) Pub Date : 2020-11-13 Zagid Abatchev, Gary Binder, Paul Davis
We have developed and tested a new Eikonal first-arrival forward model scheme by combining a fast marching method (FMM) algorithm (Sethian et al. Proc. SPIE 2726 optical microlithography IX 1996); Sethian et al. Geophys., pp. 17781781 1997); Sethian et al. SIAM Rev. 41(2), 199235 1999), an upwind Eikonal solver scheme first described by Sethian and Popovici in 1996, with a more accurate but less robust
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On the effective diffusion in the Sierpiński carpet Comput. Geosci. (IF 1.807) Pub Date : 2020-11-11 C. G. Aguilar-Madera, E. C. Herrera-Hernández, G. Espinosa-Paredes, J. A. Briones-Carrillo
In this work, we use the method of volume averaging to upscale the pore-scale diffusion equation on the Sierpiński carpet. Based on the isotropy condition in the fractal structure and the fact that the ratio of length scales in the Sierpiński carpet is constant, a general expression for the effective diffusion coefficient regarding the iteration of the fractal structure is suggested. Additionally,
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Stable mixed finite elements for linear elasticity with thin inclusions Comput. Geosci. (IF 1.807) Pub Date : 2020-11-06 W. M. Boon, J. M. Nordbotten
We consider mechanics of composite materials in which thin inclusions are modeled by lower-dimensional manifolds. By successively applying the dimensional reduction to junctions and intersections within the material, a geometry of hierarchically connected manifolds is formed which we refer to as mixed-dimensional. The governing equations with respect to linear elasticity are then defined on this mixed-dimensional
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Predicting plume spreading during CO 2 geo-sequestration: benchmarking a new hybrid finite element–finite volume compositional simulator with asynchronous time marching Comput. Geosci. (IF 1.807) Pub Date : 2020-10-23 Qi Shao, Stephan Matthai, Thomas Driesner, Lutz Gross
In this paper, we present the results of benchmark simulations for plume spreading during CO2 geo-sequestration conducted with the newly developed Australian CO2 Geo-Sequestration Simulator (ACGSS). The simulator uses a hybrid finite element–finite volume (FEFVM) simulation framework, integrating an asynchronous local time stepping method for multi-phase multi-component transport and a novel non-iterative
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Comparison of the response to geometrical complexity of methods for unstationary simulations in discrete fracture networks with conforming, polygonal, and non-matching grids Comput. Geosci. (IF 1.807) Pub Date : 2020-10-23 Andrea Borio, Alessio Fumagalli, Stefano Scialò
The aim of this study is to compare numerical methods for the simulation of single-phase flow and transport in fractured media, described here by means of the discrete fracture network (DFN) model. A Darcy problem is solved to compute the advective field, then used in a subsequent time-dependent transport-diffusion-reaction problem. The numerical schemes are benchmarked in terms of flexibility in handling
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A data-driven non-linear assimilation framework with neural networks Comput. Geosci. (IF 1.807) Pub Date : 2020-10-22 Nishant Panda, M. Giselle Fernández-Godino, Humberto C. Godinez, Clint Dawson
Complex dynamical systems are an integral part of predictive analysis that model diverse phenomena. As these models improve, they become more complex and depend on an increasing number of model or driver inputs. Uncertainty plagues these inputs (initial conditions, boundary conditions, key model parameters, signal noise, etc.), thereby introducing errors into the forecast of the model and significantly
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Multiphase-field modelling of crack propagation in geological materials and porous media with Drucker-Prager plasticity Comput. Geosci. (IF 1.807) Pub Date : 2020-10-22 Michael Späth, Christoph Herrmann, Nishant Prajapati, Daniel Schneider, Felix Schwab, Michael Selzer, Britta Nestler
A multiphase-field approach for elasto-plastic and anisotropic brittle crack propagation in geological systems consisting of different regions of brittle and ductile materials is presented and employed to computationally study crack propagation. Plastic deformation in elasto-plastic materials such as frictional, granular or porous materials is modelled with the pressure-sensitive Drucker-Prager plasticity
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PorePy: an open-source software for simulation of multiphysics processes in fractured porous media Comput. Geosci. (IF 1.807) Pub Date : 2020-10-14 Eirik Keilegavlen, Runar Berge, Alessio Fumagalli, Michele Starnoni, Ivar Stefansson, Jhabriel Varela, Inga Berre
Development of models and dedicated numerical methods for dynamics in fractured rocks is an active research field, with research moving towards increasingly advanced process couplings and complex fracture networks. The inclusion of coupled processes in simulation models is challenged by the high aspect ratio of the fractures, the complex geometry of fracture networks, and the crucial impact of processes
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Efficient solution techniques for two-phase flow in heterogeneous porous media using exact Jacobians Comput. Geosci. (IF 1.807) Pub Date : 2020-10-10 Henrik Büsing
Two efficient and scalable numerical solution methods will be compared using exact Jacobians to solve the fully coupled Newton systems arising during fully implicit discretization of the equations for two-phase flow in porous media. These methods use algebraic multigrid (AMG) to solve the linear systems in every Newton step. The algebraic multigrid methods rely on (i) a Schur Complement Reduction (SCR-AMG)
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Injection profiling in horizontal wells using temperature warmback analysis Comput. Geosci. (IF 1.807) Pub Date : 2020-10-10 Refaat G. Hashish, Mehdi Zeidouni
Horizontal wells have been used for water flooding operations for the purpose of pressure maintenance and improved oil recovery, e.g., in tight oil reservoirs. Injection profiling along the well lateral is required to determine the effectiveness of water flooding operations and to maintain high sweep efficiency. Recent improvements in downhole temperature monitoring tools allow monitoring the transient
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Upwinding and artificial viscosity for robust discontinuous Galerkin schemes of two-phase flow in mass conservation form Comput. Geosci. (IF 1.807) Pub Date : 2020-10-09 Savithru Jayasinghe, David L. Darmofal, Steven R. Allmaras, Eric Dow, Marshall C. Galbraith
High-order discretizations have become increasingly popular across a wide range of applications, including reservoir simulation. However, the lack of stability and robustness of these discretizations for advection-dominant problems prevent them from being widely adopted. This paper presents work towards improving the stability and robustness of the discontinuous Galerkin (DG) finite element scheme
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Prediction of gas hydrate saturation using machine learning and optimal set of well-logs Comput. Geosci. (IF 1.807) Pub Date : 2020-10-03 Harpreet Singh, Yongkoo Seol, Evgeniy M. Myshakin
Resistivity and acoustic logs are widely used to estimate gas hydrate saturation in various sedimentary systems using one of the two popular methods ((1) acoustic velocity and (2) electrical resistivity), but the limitations of these two methods are often overlooked, which include (i) well-specific calibration of empirical exponents in the electrical resistivity method, (ii) assumption of known pore
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Efficient and data-driven prediction of water breakthrough in subsurface systems using deep long short-term memory machine learning Comput. Geosci. (IF 1.807) Pub Date : 2020-09-22 Tao Bai, Pejman Tahmasebi
Water coning is one of the common issues in subsurface systems in which water flows into the production well through perforated zones. This phenomenon can cause severe problems in wellbore and surface facilities. Thus, accurate prediction of water breakthrough can help to adapt to the production mode and avoid such issues. Conducting flow simulations, as a conventional approach, can be very time demanding
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Validation and calibration of coupled porous-medium and free-flow problems using pore-scale resolved models Comput. Geosci. (IF 1.807) Pub Date : 2020-09-05 Iryna Rybak, Christoph Schwarzmeier, Elissa Eggenweiler, Ulrich Rüde
The correct choice of interface conditions and effective parameters for coupled macroscale free-flow and porous-medium models is crucial for a complete mathematical description of the problem under consideration and for accurate numerical simulation of applications. We consider single-fluid-phase systems described by the Stokes–Darcy model. Different sets of coupling conditions for this model are available
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Modeling, simulation, and optimization of geothermal energy production from hot sedimentary aquifers Comput. Geosci. (IF 1.807) Pub Date : 2020-09-02 Laura Blank, Ernesto Meneses Rioseco, Alfonso Caiazzo, Ulrich Wilbrandt
Geothermal district heating development has been gaining momentum in Europe with numerous deep geothermal installations and projects currently under development. With the increasing density of geothermal wells, questions related to the optimal and sustainable reservoir exploitation become more and more important. A quantitative understanding of the complex thermo-hydraulic interaction between tightly
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Field development optimization using a sequence of surrogate treatments Comput. Geosci. (IF 1.807) Pub Date : 2020-09-02 Daniel U. de Brito, Louis J. Durlofsky
Field development optimization, in which well configuration, well types, and well controls are determined, represents a computationally demanding mixed integer nonlinear programming problem. Such problems may require very large numbers of function evaluations, and if each of these corresponds to a detailed flow simulation, the optimization can become intractable. In this paper, we incorporate a set
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An engineering approach to study the effect of saturation-dependent capillary diffusion on radial Buckley-Leverett flow Comput. Geosci. (IF 1.807) Pub Date : 2020-08-29 Bernard Meulenbroek, Negar Khoshnevis Gargar, Hans Bruining
1D water oil displacement in porous media is usually described by the Buckley-Leverett equation or the Rapoport-Leas equation when capillary diffusion is included. The rectilinear geometry is not representative for near well oil displacement problems. It is therefore of interest to describe the radially symmetric Buckley-Leverett or Rapoport-Leas equation in cylindrical geometry (radial Buckley-Leverett
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Microbially mediated kinetic sulfur isotope fractionation: reactive transport modeling benchmark Comput. Geosci. (IF 1.807) Pub Date : 2020-08-28 Yiwei Cheng, Bhavna Arora, S. Sevinç Şengör, Jennifer L. Druhan, Christoph Wanner, Boris M. van Breukelen, Carl I. Steefel
Microbially mediated sulfate reduction is a ubiquitous process in many subsurface systems. Isotopic fractionation is characteristic of this anaerobic process, since sulfate-reducing bacteria (SRB) favor the reduction of the lighter sulfate isotopologue (S32O42−) over the heavier isotopologue (S34O42−). Detection of isotopic shifts has been utilized as a proxy for the onset of sulfate reduction in subsurface
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Image-based effective medium approximation for fast permeability evaluation of porous media core samples Comput. Geosci. (IF 1.807) Pub Date : 2020-08-25 Jacques Franc, Romain Guibert, Pierre Horgue, Gérald Debenest, Franck Plouraboué
An image-based effective medium approximation (EMA) is developed so as to permit very fast transport properties evaluations of 3D porous media. From an image-based porous network (IBPN) built upon digital image processing of 3D binary images, we focus on throat’s local geometrical properties at the pore scale, for being the most sensible structural units which build up the local pressure. This approach
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Study of gas slippage factor in anisotropic porous media using the lattice Boltzmann method Comput. Geosci. (IF 1.807) Pub Date : 2020-08-21 Tao Li, Yong Hu, Qian Li, Xian Peng, Min Li
In unconventional reservoir rocks, pore anisotropy and gas high Knudsen number (Kn) effect are prominent, while gas slippage factor is a crucial parameter to evaluate their apparent permeability. To analyze the correlation of gas slippage factor with pore anisotropy of porous media and Kn, two-dimensional bundle models and anisotropic porous media with same characteristic length were skillfully constructed
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Multigrid solvers for multipoint flux approximations of the Darcy problem on rough quadrilateral grids Comput. Geosci. (IF 1.807) Pub Date : 2020-08-07 Andrés Arrarás, Francisco J. Gaspar, Laura Portero, Carmen Rodrigo
In this work, an efficient blackbox-type multigrid method is proposed for solving multipoint flux approximations of the Darcy problem on logically rectangular grids. The approach is based on a cell-centered multigrid algorithm, which combines a piecewise constant interpolation and the restriction operator by Wesseling/Khalil with a line-wise relaxation procedure. A local Fourier analysis is performed
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Microscale mechanical modeling of deformable geomaterials with dynamic contacts based on the numerical manifold method Comput. Geosci. (IF 1.807) Pub Date : 2020-08-05 Mengsu Hu, Jonny Rutqvist
Micromechanical modeling of geomaterials is challenging because of the complex geometry of discontinuities and potentially large number of deformable material bodies that contact each other dynamically. In this study, we have developed a numerical approach for micromechanical analysis of deformable geomaterials with dynamic contacts. In our approach, we detect contacts among multiple blocks with arbitrary
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Iterative solvers for Biot model under small and large deformations Comput. Geosci. (IF 1.807) Pub Date : 2020-07-18 Manuel Antonio Borregales Reverón, Kundan Kumar, Jan Martin Nordbotten, Florin Adrian Radu
We consider L-scheme and Newton-based solvers for Biot model under large deformation. The mechanical deformation follows the Saint Venant-Kirchoff constitutive law. Furthermore, the fluid compressibility is assumed to be non-linear. A Lagrangian frame of reference is used to keep track of the deformation. We perform an implicit discretization in time (backward Euler) and propose two linearization schemes
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Modeling interactions of natural and two-phase fluid-filled fracture propagation in porous media Comput. Geosci. (IF 1.807) Pub Date : 2020-07-18 Sanghyun Lee, Mary F. Wheeler
In this paper, a novel computational framework is introduced for simulation of multiphase flow, geomechanics, and fracture propagation in porous media based on Biot’s model for poroelasticity by focusing on interactions between hydraulic and natural fractures. Since realistic porous media contain many natural fractures, it is important not only to stimulate hydraulic fractures but also to study the
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Finite-volume simulation of capillary-dominated flow in matrix-fracture systems using interface conditions Comput. Geosci. (IF 1.807) Pub Date : 2020-07-18 Ammar H. Alali, François P. Hamon, Bradley T. Mallison, Hamdi A. Tchelepi
In numerical simulations of multiphase flow and transport in fractured porous media, the estimation of the hydrocarbon recovery requires accurately predicting the capillary-driven imbibition rate of the wetting phase initially present in the fracture into the low-permeability matrix. In the fully implicit finite-volume scheme, this entails a robust methodology that captures the capillary flux at the
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Numerical modeling of a memory-based diffusivity equation and determination of its fractional order value Comput. Geosci. (IF 1.807) Pub Date : 2020-07-14 Tareq Uz Zaman, Scott MacLachlan, M. Enamul Hossain
Conventional diffusion equations for fluid flow through porous media do not consider the effects of the history of rock, fluid, and flow. This limitation can be overcome by the incorporation of “memory” in the model, using fractional-order derivatives. Inclusion of fractional-order derivatives in the diffusion equation, however, adds complexity to both the equation and its numerical approximation.
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Accuracy of fully coupled and sequential approaches for modeling hydro- and geomechanical processes Comput. Geosci. (IF 1.807) Pub Date : 2020-07-12 M. Beck; A. P. Rinaldi; B. Flemisch; H. Class
Subsurface flow and geomechanics are often modeled with sequential approaches. This can be computationally beneficial compared with fully coupled schemes, while it requires usually compromises in numerical accuracy, at least when the sequential scheme is non-iterative. We discuss the influence of the choice of scheme on the numerical accuracy and the expected computational effort based on a comparison
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Transition zone diagnosis in finite fractured reservoirs Comput. Geosci. (IF 1.807) Pub Date : 2020-07-09 Parviz Zahedizadeh; Zohre Safari; Azita Ghaderi; Reza Azin
A major part of world hydrocarbon resources is located in fractured reservoirs. The identification of fractured reservoir parameters is essential for their optimal production. The Warren-Root model is one of the most fundamental models for fluid flow in fractured reservoirs. The simplified assumption of the Warren-Root model is not applicable for a finite reservoir, and transition zone cannot be detected
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An efficient parallel algorithm for 3D magnetotelluric modeling with edge-based finite element Comput. Geosci. (IF 1.807) Pub Date : 2020-07-06 Xiaoxiong Zhu, Jie Liu, Yian Cui, Chunye Gong
Three-dimensional magnetotelluric modeling algorithm of high accuracy and high efficiency is required for data interpretation and inversion. In this paper, edge-based finite element method with unstructured mesh is used to solve 3D magnetotelluric problem. Two boundary conditions—Dirichlet boundary condition and Neumann boundary condition—are set for cross-validation and comparison. We propose an efficient
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A stabilized hybrid mixed finite element method for poroelasticity Comput. Geosci. (IF 1.807) Pub Date : 2020-07-04 Chunyan Niu, Hongxing Rui, Xiaozhe Hu
In this work, we consider a hybrid mixed finite element method for Biot’s model. The hybrid P1-RT0-P0 discretization of the displacement-pressure-Darcy’s velocity system of Biot’s model presented by Niu et al. (Appl. Math. Comput. 347: 767–784, 2019) is not uniformly stable with respect to the physical parameters, resulting in some issues in numerical simulations. To alleviate such problems, following
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Block preconditioners for mixed-dimensional discretization of flow in fractured porous media Comput. Geosci. (IF 1.807) Pub Date : 2020-07-04 Ana Budiša, Xiaozhe Hu
In this paper, we are interested in an efficient numerical method for the mixed-dimensional approach to modeling single-phase flow in fractured porous media. The model introduces fractures and their intersections as lower-dimensional structures, and the mortar variable is used for flow coupling between the matrix and fractures. We consider a stable mixed finite element discretization of the problem
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Approximate inverse-based block preconditioners in poroelasticity Comput. Geosci. (IF 1.807) Pub Date : 2020-06-25 Andrea Franceschini, Nicola Castelletto, Massimiliano Ferronato
We focus on the fully implicit solution of the linear systems arising from a three-field mixed finite element approximation of Biot’s poroleasticity equations. The objective is to develop algebraic block preconditioners for the efficient solution of such systems by Krylov subspace methods. In this work, we investigate the use of approximate inverse-based techniques to decouple the native system of
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An enhanced sequential fully implicit scheme for reservoir geomechanics Comput. Geosci. (IF 1.807) Pub Date : 2020-06-25 Omar Duran; Manouchehr Sanei; Philippe R. B. Devloo; Erick S. R. Santos
In this paper, it is proposed an enhanced sequential fully implicit (ESFI) algorithm with a fixed stress split to approximate robustly poro-elastoplastic solutions related to reservoir geomechanics. The constitutive model considers the total strain effect on porosity/permeability variation and associative plasticity. The sequential fully implicit (SFI) algorithm is a popular solution to approximate
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A novel approach for subsurface characterization of coupled fluid flow and geomechanical deformation: the case of slightly compressible flows Comput. Geosci. (IF 1.807) Pub Date : 2020-06-25 M. R. Borges; F. Pereira
We are concerned with stochastic methods for predictive simulations of flows in the subsurface that can incorporate dynamical data (such as pressure data and production curves in field-scale operations) to reduce uncertainty in determining time-dependent subsurface properties such as absolute permeability, porosity and Young’s modulus in the context of poroelasticity. There exists a considerable amount
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Postprocessing of standard finite element velocity fields for accurate particle tracking applied to groundwater flow Comput. Geosci. (IF 1.807) Pub Date : 2020-06-24 Philipp Selzer; Olaf A. Cirpka
Particle tracking is a computationally advantageous and fast scheme to determine travel times and trajectories in subsurface hydrology. Accurate particle tracking requires element-wise mass-conservative, conforming velocity fields. This condition is not fulfilled by the standard linear Galerkin finite element method (FEM). We present a projection, which maps a non-conforming, element-wise given velocity
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Convolutional neural networks (CNN) for feature-based model calibration under uncertain geologic scenarios Comput. Geosci. (IF 1.807) Pub Date : 2020-06-22 Syamil Mohd Razak; Behnam Jafarpour
This paper presents convolutional neural network architectures for integration of dynamic flow response data to reduce the uncertainty in geologic scenarios and calibrate subsurface flow models. The workflow consists of two steps, where in the first step the solution search space is reduced by eliminating unlikely geologic scenarios using distinguishing salient flow data trends. The first step serves
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A macroelement stabilization for mixed finite element/finite volume discretizations of multiphase poromechanics Comput. Geosci. (IF 1.807) Pub Date : 2020-06-18 Julia T. Camargo, Joshua A. White, Ronaldo I. Borja
Strong coupling between geomechanical deformation and multiphase fluid flow appears in a variety of geoscience applications. A common discretization strategy for these problems is a continuous Galerkin finite element scheme for the momentum balance equation and a finite volume scheme for the mass balance equations. When applied within a fully implicit solution strategy, however, this discretization
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Biogeochemical cycling of heavy metals in lake sediments: impact of multispecies diffusion and electrostatic effects Comput. Geosci. (IF 1.807) Pub Date : 2020-06-17 Jianing Li; S. Sevinç Şengör
Fate and transport of heavy metals is controlled by the biogeochemical processes in the environment. Reactive transport modeling is particularly important for capturing the complex interplay between the microbial community dynamics and redox-stratified environments. The focus of this study is to investigate the impacts of (i) multicomponent diffusion (MCD) and (ii) electrical double layer (EDL) on
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Generative adversarial network as a stochastic subsurface model reconstruction Comput. Geosci. (IF 1.807) Pub Date : 2020-06-16 Leonardo Azevedo; Gustavo Paneiro; Arthur Santos; Amilcar Soares
In geosciences, generative adversarial networks have been successfully applied to generate multiple realizations of rock properties from geological priors described by training images, within probabilistic seismic inversion and history matching methods. Here, the use of generative adversarial networks is proposed not as a model generator but as a model reconstruction technique for subsurface models
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Iterative schemes for surfactant transport in porous media Comput. Geosci. (IF 1.807) Pub Date : 2020-06-14 Davide Illiano, Iuliu Sorin Pop, Florin Adrian Radu
In this work, we consider the transport of a surfactant in variably saturated porous media. The water flow is modelled by the Richards equations and it is fully coupled with the transport equation for the surfactant. Three linearization techniques are discussed: the Newton method, the modified Picard, and the L-scheme. Based on these, monolithic and splitting schemes are proposed and their convergence
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Applying kriging proxies for Markov chain Monte Carlo in reservoir simulation Comput. Geosci. (IF 1.807) Pub Date : 2020-06-13 Ilya Fursov; Mike Christie; Gabriel Lord
One way to quantify the uncertainty in Bayesian inverse problems arising in the engineering domain is to generate samples from the posterior distribution using Markov chain Monte Carlo (MCMC) algorithms. The basic MCMC methods tend to explore the parameter space slowly, which makes them inefficient for practical problems. On the other hand, enhanced MCMC approaches, like Hamiltonian Monte Carlo (HMC)
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Numerical modelling of brittle–ductile transition with the MUFITS simulator Comput. Geosci. (IF 1.807) Pub Date : 2020-06-12 Andrey Afanasyev
The numerical modelling of flows in geologic porous media, accounting for plastic behaviour of rocks at high temperatures and hydrofracturing at high fluid pressures, is required for a better understanding of hydrothermal and volcanic systems. The investigation of these systems is limited given the lack of reliable and available reservoir simulation software that accounts for complicated rock behaviour
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Combustion in miscible displacement for high-pressure air injection Comput. Geosci. (IF 1.807) Pub Date : 2020-06-05 N. Khoshnevis Gargar; J. Bruining; M. A. Endo Kokubun; D. Marchesin; A. A. Mailybaev
This paper describes miscible displacement upon air injection in a porous medium saturated with oil corresponding to conditions of high-pressure air injection (HPAI). We assume that injection fluids and produced fluids are fully miscible with the oil at the prevailing high pressure. We use three pseudo-components, viz., oxygen, oil, and an inert component, which includes nitrogen, carbon dioxide, etc
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Three-dimensional fracture continuum characterization aided by surface time-domain electromagnetics and hydrogeophysical joint inversion—proof-of-concept Comput. Geosci. (IF 1.807) Pub Date : 2020-05-28 Michael Commer, Stefan Finsterle, G. Michael Hoversten
Efficient and safe production of hydraulically fractured reservoirs benefits from the prediction of their geometrical attributes. Geophysical methods have the potential to provide data that are sensitive to fracture geometries, alleviating the typically sparse nature of in situ reservoir observations. Moreover, surface-based methods can be logistically and economically attractive since they avoid operational
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