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Collaborating Authors
- Information Technology > Modeling & Simulation (0.69)
- Information Technology > Communications > Collaboration (0.40)
The supper-large ill posed matrix of environment engineering. The parallel 3D numerical 3D EM inverse problem can not be solved using the algorithm is described as follows: (1) An accelerating series computer. Therefore, it is necessary and very Galerkin finite element method is used to discretize important to develop the parallel 3D EM algorithm, the second order 3D Maxwell's equation of the
ABSTRACT Finite difference modeling of elastic wavefields in 2.5D is described in the velocity-stress formulation for anisotropic media. The 2.5D modeling computes the 3D elastic wavefield in a medium which is translation invariant in one coordinate direction. The approach is appealing due reduced storage and computing time when compared to full 3D finite difference elastic modeling. The scheme handles inhomogeneities in mass density and elastic moduli, includes free-surface and perfect matched layers as absorbing boundaries. High order finite difference operator allows the use of a coarse mesh, reducing the storage even more without producing numerical dispersion and numerical anisotropy. Numerical experiments show the accuracy of the scheme, its computational efficiency and the importance of 2.5D modeling in complex elastic media.
- Geophysics > Seismic Surveying > Seismic Modeling (0.71)
- Geophysics > Seismic Surveying > Seismic Processing (0.47)
The paper describes the main features of the pipelined Tsunami Modeling Infrastructure supporting high-speed tsunami modeling on system with rather limited computational resources. The pipelining scheme is realized by distributing bathymetries over computational resources and synchronization of processing of each area using buffering of boundaries between areas. It also describes adopting this scheme to cloud-based computations allowing creating flexible and reconfiguring computational scheme with a variable set of modeling zones. Preliminary results of numerical modeling experiments are also presented. INTRODUCTION The tsunami modeling can be considered as a heavy-computational problem requiring versatile approaches based on integration of them. The most known, accurate and widely used packages are TUNAMI described in Shuto et. al., (1995) and MOST presented in Titov, (1988) Titov, (1998), and Titov and Gonzalez, (1997). For obtaining results of the tsunami propagation, be more reliable (distribution of tsunami wave heights in a shelf zone), rather a small step of a computational grid (about tens meters) is necessary. If we simulate the tsunami propagation in the whole area including both a source zone and sites of the coast, we are interested in, using this small spatial grid step, then because of the stability condition we will be compelled to carry out calculation with a small time step. This will bring about a significant increase in the time of numerical calculation that is inadmissible in real-time calculations. Therefore it is necessary to carry out such calculations with the use of the computational grids whose spatial step decreases when approaching the coast. This research is focused on designing a high-speed scheme for tsunami modeling used nested computing. The basis for this research is the original grid-switching algorithm modeling tsunami propagations described in Hayashi et. al., (2015). We have adopted the MOST package to a computational scheme in which tsunami wave parameters are transferred from a larger domain to the embedded smaller one by means of the boundary conditions. This allows decreasing the total amount of calculations by excluding unimportant coast areas from the calculation process.
Petroleum Systems Modeling and Exploration Risk Assessment for the Eastern Margin of the Precaspian Basin
Rayeva, Nurgul (KazMunayGas JSC NC) | Kosnazarova, Nurgul (Scientific-Research Institute of production and drilling technology "KazMunayGas" LLP) | Arykbayeva, Zhuldyz (Schlumberger) | Shaikhina, Dana (Schlumberger)
Abstract The current paper describes the application of petroleum systems modeling of Eastern Margin of the Precaspian basin with the aim of determination of potentially prolific areas for hydrocarbons and exploration risks assessment. The main objective of the study was to build a static petroleum systems model which is capable to reproduce the existing hydrocarbon (HC) fields and therefore applicable to be used as a predictive tool for delineating the prospective hydrocarbon areas. The presalt sequence of the basin was assessed considering different scenarios. Applying petroleum systems 1D modeling, petroleum systems quick-look analysis and play chance mapping technologies the main elements of petroleum systems were characterized in accordance with available structural, geochemical and petrophysical information and exploration risks were assessed. The results of 1D petroleum systems modeling allowed us to calibrate the heat flow and temperature gradients for the static model. The simulation results of potential hydrocarbon migration and accumulation showed good correlation with the existing hydrocarbon fields. Finally, the results of the exploration risks assessment with indication of areas with high hydrocarbon potential were obtained. Overall, the value and importance of petroleum systems modeling and risk assessment is highlighted in the current work. Particularly the most interesting and potentially prolific areas of the Eastern Margin of the Precaspian basin are identified. The procedure and results presented in the paper can widely be used in the other studies in Precaspian region.
- Asia > Kazakhstan > West Kazakhstan Region (0.84)
- Asia > Kazakhstan > Mangystau Region (0.84)
- Asia > Kazakhstan > Atyrau Region (0.84)
- Asia > Kazakhstan > Aktobe Region (0.84)
- Phanerozoic > Paleozoic > Carboniferous (0.95)
- Phanerozoic > Paleozoic > Devonian (0.71)
- Phanerozoic > Paleozoic > Permian (0.69)
- Asia > Kazakhstan > West Kazakhstan > Precaspian Basin (0.99)
- Asia > Kazakhstan > Mangystau Oblast > Precaspian Basin (0.99)
- Asia > Kazakhstan > Atyrau > Precaspian Basin (0.99)
- (26 more...)
- Reservoir Description and Dynamics > Reservoir Characterization > Geologic modeling (1.00)
- Reservoir Description and Dynamics > Reservoir Characterization > Exploration, development, structural geology (1.00)
- Management > Risk Management and Decision-Making > Risk, uncertainty, and risk assessment (1.00)