GSLIB

GSLIB is an acronym for Geostatistical Software LIBrary. This name was originally used for a collection of geostatistical programs developed at Stanford University over the last 15 years. The original GSLIB inspired the writing of GSLIB: Geostatistical Software Library and User’s Guide by Clayton Deutsch and André Journel, 1992, 340 pp. during 1990 - 1992. The second edition was completed in 1997. Both editions were published by Oxford University Press.


References in zbMATH (referenced in 162 articles )

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  1. Emerick, Alexandre A.: Deterministic ensemble smoother with multiple data assimilation as an alternative for history-matching seismic data (2018)
  2. Gueting, Nils; Caers, Jef; Comunian, Alessandro; Vanderborght, Jan; Englert, Andreas: Reconstruction of three-dimensional aquifer heterogeneity from two-dimensional geophysical data (2018)
  3. Ibrahima, Fayadhoi; Tchelepi, Hamdi A.; Meyer, Daniel W.: An efficient distribution method for nonlinear two-phase flow in highly heterogeneous multidimensional stochastic porous media (2018)
  4. Morzfeld, Matthias; Day, Marcus S.; Grout, Ray W.; Heng Pau, George Shu; Finsterle, Stefan A.; Bell, John B.: Iterative importance sampling algorithms for parameter estimation (2018)
  5. Nussbaumer, Raphaël; Mariethoz, Grégoire; Gloaguen, Erwan; Holliger, Klaus: Which path to choose in sequential Gaussian simulation (2018)
  6. Yao, Lingqing; Dimitrakopoulos, Roussos; Gamache, Michel: A new computational model of high-order stochastic simulation based on spatial Legendre moments (2018)
  7. Deng, Q.; Ginting, V.; McCaskill, B.; Torsu, P.: A locally conservative stabilized continuous Galerkin finite element method for two-phase flow in poroelastic subsurfaces (2017)
  8. Emerick, Alexandre A.: Investigation on principal component analysis parameterizations for history matching channelized facies models with ensemble-based data assimilation (2017)
  9. Fossum, Kristian; Mannseth, Trond: Coarse-scale data assimilation as a generic alternative to localization (2017)
  10. Galerne, Bruno; Leclaire, Arthur: Texture inpainting using efficient Gaussian conditional simulation (2017)
  11. Ibrahima, Fayadhoi; Tchelepi, Hamdi A.: Multipoint distribution of saturation for stochastic nonlinear two-phase transport (2017)
  12. Sandra de Iaco: The cgeostat Software for Analyzing Complex-Valued Random Fields (2017) not zbMATH
  13. Trangenstein, John A.: Scientific computing. Vol. I. Linear and nonlinear equations (2017)
  14. Trangenstein, John A.: Scientific computing. Vol. II. Eigenvalues and optimization (2017)
  15. Trangenstein, John A.: Scientific computing. Vol. III. Approximation and integration (2017)
  16. van den Boogaart, K. Gerald; Mueller, Ute; Tolosana-Delgado, Raimon: An affine equivariant multivariate normal score transform for compositional data (2017)
  17. Vigsnes, Maria; Kolbjørnsen, Odd; Hauge, Vera Louise; Dahle, Pål; Abrahamsen, Petter: Fast and accurate approximation to Kriging using common data neighborhoods (2017)
  18. Wambeke, T.; Benndorf, J.: A simulation-based geostatistical approach to real-time reconciliation of the grade control model (2017)
  19. Bakshevskaia, Veronika A.; Pozdniakov, Sergey P.: Simulation of hydraulic heterogeneity and upscaling permeability and dispersivity in Sandy-Clay formations (2016)
  20. Chatterjee, Snehamoy; Sethi, Manas Ranjan; Asad, Mohammad Waqar Ali: Production phase and ultimate pit limit design under commodity price uncertainty (2016)

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