Modeling, Simulation and Data Analysis
Computational Geosciences publishes high quality papers on mathematical modeling, simulation, numerical analysis, and other computational aspects of the geosciences. In particular the journal is focused on advanced numerical methods for the simulation of subsurface flow and transport, and associated aspects such as discretization, gridding, upscaling, optimization, data assimilation, uncertainty assessment, and high performance parallel and grid computing.
Papers treating similar topics but with applications to other fields in the geosciences, such as geomechanics, geophysics, oceanography, or meteorology, will also be considered.
The journal provides a platform for interaction and multidisciplinary collaboration among diverse scientific groups, from both academia and industry, which share an interest in developing mathematical models and efficient algorithms for solving them, such as mathematicians, engineers, chemists, physicists, and geoscientists.
Convergence analysis of fixed stress split iterative scheme for anisotropic poroelasticity with tensor Biot parameter
Deterministic ensemble smoother with multiple data assimilation as an alternative for history-matching seismic data
Alexandre A. Emerick (April 2018)
- Journal Title
- Computational Geosciences
- Volume 1 / 1997 - Volume 22 / 2018
- Print ISSN
- Online ISSN
- Springer International Publishing
- Additional Links
- Industry Sectors
To view the rest of this content please follow the download PDF link above.