Computational Geosciences Journal Impact Factor & Information

Publisher: Springer Verlag

Journal description

Accurate and efficient imaging of subsurface structure and modeling of processes in the subsurface require multidisciplinary collaboration among mathematicians engineers chemists physicists and geoscientists. Presently there exists no journal whose main objective is to provide a platform for interaction among these diverse scientific groups. To remedy this we propose to establish a new journal Computational Geosciences . The aim of this international journal is to facilitate the exchange of ideas across the disciplines and among universities and industrial and governmental laboratories. Computational Geosciences will publish high quality papers on mathematical modeling simulation data analysis imaging inversion and interpretation with applications in the geosciences. The themes and application areas to be covered include reservoir and environmental engineering hydrology geochemistry geomechanics seismic and electromagnetic imaging geostatistics and reservoir/aquifer characterization and high performance parallel computing. More specifically Computational Geosciences welcomes contributions concerning for example bioremediation diffusion and dispersion geology and geostatistics scale up multiphase flow and reactive transport geophysical imaging and inversion methods seismic and electromagnetic modeling numerical methods and parallel computing. Both theoretical and applied scientists are invited to participate. Computational Geosciences focuses mainly on quantitative aspects of models describing transport processes in permeable media. It is targeted at petroleum engineers hydrologists quantitative environmental engineers soil physicists soil and geochemists applied mathematicians geologists and seismologists.

Current impact factor: 1.61

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013 / 2014 Impact Factor 1.612
2012 Impact Factor 1.422
2011 Impact Factor 1.348
2010 Impact Factor 1.056
2009 Impact Factor 1.306
2008 Impact Factor 1.222
2007 Impact Factor 0.742
2006 Impact Factor 1
2005 Impact Factor 0.806
2004 Impact Factor 0.744
2003 Impact Factor 0.175
2002 Impact Factor 0.655
2001 Impact Factor 0.533
2000 Impact Factor 0.344

Impact factor over time

Impact factor

Additional details

5-year impact 1.69
Cited half-life 4.90
Immediacy index 0.22
Eigenfactor 0.00
Article influence 0.79
Website Computational Geosciences website
Other titles Computational geosciences (Online), CG
ISSN 1420-0597
OCLC 40420652
Material type Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

Springer Verlag

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    • Articles in some journals can be made Open Access on payment of additional charge
  • Classification
    ​ green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, we present a new parameterization of channelized reservoirs with two facies types, which is coupled with the ensemble Kalman filter (EnKF) and the iterative adaptive Gaussian mixture filter (IAGM) for history matching (HM) of production data. The main objectives are to match the past data within the model and measurement uncertainties and to preserve the geological realism in order to predict the future behavior of the reservoir. The parameterization bridges the method of Gaussian truncation with multipoint statistics from a training image. To generate an ensemble of channelized reservoirs, a multi-point geostatistical tool (SNESIM) is used in combination with a training image. The parameterization is performed in a Gaussian space by drawing from a conditional Gaussian distribution with truncation rules estimated from the ensemble, ensuring that the updates are always facies realizations. The EnKF is a HM method that updates the ensemble based only on the first two statistical moments, which is not enough to characterize the posterior when channelized structures are present. Therefore, we propose using the iterative version of AGM in combination with SNESIM in the resampling step to better handle nonlinearities and preserve the channelized structure of the ensemble members. The results presented show that the IAGM procedure is able to reduce the uncertainty in the updated ensemble with realistic geological structure, in addition to having good predictability and preservation of channels. We performed a comparison with IAGM applied directly to the permeability field.
    Computational Geosciences 03/2015; DOI:10.1007/s10596-014-9466-3
  • [Show abstract] [Hide abstract]
    ABSTRACT: Nonequilibrium surface complexation reactions have been found to substantially affect U(VI) transport in natural porous media both in laboratory and field scale experiments. Nonequilibrium sorption behavior occurs on multiple time scales and is a result of diffusion-limited transport in immobile intra-grain and intra-aggregate pore water. Experimental data on U(VI) transport was success- fully described with a recently developed reactive transport model that accounted for the nonequilibrium adsorption processes through the formulation of a multi-rate sur- face complexation model treating surface complexation as kinetic reactions. In the present work, a benchmark problem set has been developed for testing existing or newly devel- oped reactive transport codes on their capability to simulate multi-rate surface complexation and dual-domain multi- component reactive transport of U(VI). The benchmark problem consists of three individual component problems on the basis of previous studies investigating the desorption of U(VI) from radionuclide-contaminated sediment from the Hanford 300A site, Washington, USA. Starting with a single-domain model considering constant hydrochemical conditions (component problem 1), the complexity of the model was stepwise increased. In the component problem 2 dual-domain first-order mass transfer was added. The prin- cipal problem also included dual-domain mass-transfer, but was further extended for changing hydrochemical condi- tions in the column’s inflow water, which resulted in drastic changes in the U(VI) desorption pattern due to surface complexation reactions. For the three individual compo- nent problems, the corresponding simulation results agree very well among four well-known and thoroughly tested independent reactive transport codes, indicating that the proposed benchmark problem set is a suitable test case.
    Computational Geosciences 01/2015; DOI:10.1007/s10596-014-9457-4
  • [Show abstract] [Hide abstract]
    ABSTRACT: The use of the subsurface for CO2 storage, geo- thermal energy generation, and nuclear waste disposal will greatly increase the interaction between clay(stone) and concrete. The development of models describing the mineralogical transformations at this interface is complicated, because contrasting geochemical conditions (Eh, pH, solution composition, etc.) induce steep concentra- tion gradients and a high mineral reactivity. Due to the com- plexity of the problem, analytical solutions are not available to verify code accuracy, rendering code intercomparisons as the most efficient method for assessing code capabil- ities and for building confidence in the used model. A benchmark problem was established for tackling this issue. We summarize three scenarios with increasing geochemical complexity in this paper. The processes considered in the simulations are diffusion-controlled transport in saturated media under isothermal conditions, cation exchange reac- tions, and both local equilibrium and kinetically controlled mineral dissolution-precipitation reactions. No update of the pore diffusion coefficient as a function of porosity changes was considered. Seven international teams participated in this benchmarking exercise. The reactive transport codes used (TOUGHREACT, PHREEQC, with two different ways of handling transport, CRUNCH, HYTEC, ORCHESTRA, MIN3P-THCm) gave very similar patterns in terms of predicted solute concentrations and mineral distributions. Some differences linked to the considered activity models were observed, but they do not bias the general system evo- lution. The benchmarking exercise thus demonstrates that a reactive transport modelling specification for long-term performance assessment can be consistently addressed by multiple simulators.
    Computational Geosciences 01/2015; DOI:10.1007/s10596-014-9463-6
  • [Show abstract] [Hide abstract]
    ABSTRACT: Nuclear magnetic resonance (NMR) technique has been widely used to reservoir evaluation and core analysis in oil industry. Rapid and stable inversion of NMR data is very important for NMR logging application. A rapid data compression method with high compression ratio can effectively improve the inversion speed of NMR data. This paper compared and analyzed the window averaging (WA) and singular value decomposition (SVD) methods for NMR data compression. The numerical results show that the WA method has the features of low compression ratio, low computational complexity, and less time-consuming; the SVD method has the features of high compression ratio, large amount of calculation, and more time-consuming. Combining the advantages of these two compression methods, this paper proposed a novel compression method which had achieved good application effects in NMR data compression. The novel method can not only ensure the high compression ratio, but also effectively reduces the time-consuming and possesses more prominent advantages in multi-dimensional NMR data compression.
    Computational Geosciences 01/2015; DOI:10.1007/s10596-015-9479-6
  • Computational Geosciences 01/2015; DOI:10.1007/s10596-014-9465-4
  • [Show abstract] [Hide abstract]
    ABSTRACT: A model formulation to describe fluid flows in coupled saturated/unsaturated porous medium and adjacent free flow regions is proposed. The Stokes equations are applied in the free flow domain, while the Richards equation is used to model the porous medium system. These two flow problems are coupled at the fluid-porous interface via an appropriate set of interface conditions. A multiple-time-step scheme is developed to solve the coupled problem efficiently. Numerical simulation results are presented for a model problem and a realistic setting that demonstrate the convergence and efficiency of the proposed computational algorithm. Time-splitting multistep methods can be successfully applied for modeling other physical systems where the processes evolve on different time scales, and these potential extensions are discussed.
    Computational Geosciences 01/2015; DOI:10.1007/s10596-015-9469-8
  • [Show abstract] [Hide abstract]
    ABSTRACT: We consider the Richards equation on a domain that is decomposed into nonoverlapping layers, i.e., the decomposition has no cross points. We assume that the saturation and permeability functions are space-independent on each subdomain. Kirchhoff transformation of each subdomain problem separately then leads to a set of semilinear equations, which can each be solved efficiently using monotone multigrid. The transformed subdomain problems are coupled by nonlinear continuity and flux conditions. This nonlinear coupled problem can be solved using substructuring methods like the Dirichlet–Neumann or Robin iteration. We give several numerical examples showing the discretization error, the solver robustness under variations of the soil parameters, and a hydrological example with four soil layers and surface water.
    Computational Geosciences 12/2014; DOI:10.1007/s10596-014-9461-8
  • [Show abstract] [Hide abstract]
    ABSTRACT: We discuss the construction of multi-level inexact linear solvers for control volume discretizations for porous media. The methodology forms a contrast to standard iterative solvers by utilizing an algebraic hierarchy of approximations which preserve the conservative structure of the underlying control volume. Our main result is the generalization of multiscale control volume methods as multi-level inexact linear solvers for conservative discretizations through the design of a particular class of preconditioners. This construction thereby bridges the gap between multiscale approximation and linear solvers. The resulting approximation sequence is referred to as inexact solvers. We seek a conservative solution, in the sense of control-volume discretizations, within a prescribed accuracy. To this end, we give an abstract guaranteed a posteriori error bound relating the accuracy of the linear solver to the underlying discretization. These error bounds are explicitly computable for the grids considered herein. The afore-mentioned hierarchy of conservative approximations can also be considered in the context of multi-level upscaling, and this perspective is highlighted in the text as appropriate. The new construction is supported by numerical examples highlighting the performance of the inexact linear solver realized in both a multi- and two-level context for two- and three-dimensional heterogeneous problems defined on structured and unstructured grids. The numerical examples assess the performance of the approach both as an inexact solver, as well in comparison to standard algebraic multigrid methods.
    Computational Geosciences 12/2014; DOI:10.1007/s10596-014-9453-8
  • Computational Geosciences 12/2014; 18(6). DOI:10.1007/s10596-014-9435-x
  • Computational Geosciences 12/2014; 18(6):899-912. DOI:10.1007/s10596-014-9433-z
  • Computational Geosciences 12/2014; 18(6):949-967. DOI:10.1007/s10596-014-9438-7