Hex-Dominant Mesh Improving Quality to Tracking Hydrocarbons in Dynamic Basins (original) (raw)

Hex-dominant mesh generation for subterranean formation modeling

Engineering with Computers, 2011

Abstract Under the context of subterranean formation modeling using finite volume methods, the computational domain is a basin, a reservoir, or an underground CO2 storage site. Such a domain has a layered structure and is geometrically described by its layer limits called horizons and random disruption of layers called faults. Horizons and faults are both numerically represented by 3D triangulated

Mesh Generation for 3D Geological Reservoirs with Arbitrary Stratigraphic Surface Constraints

Procedia Computer Science, 2014

With the advanced field observation, image and drilling technology, geological structure of reservoirs can be described in more details. A novel 3D mesh generation method for geological reservoir models is proposed and implemented with arbitrary stratigraphical surface constraints , which ensures the detailed geological structure and material properties are well described and analysed. Specifically, the stratigraphic interfaces are firstly extracted and meshed, and then the tetrahedron mesh is generated with the constraints of the meshed surfaces. The propos ed approach includes the following five steps:

An iterative method for the creation of structured hexahedral meshes over complex orography

Applied Mathematics and Computation, 2011

In this paper we propose a technique for measuring the quality of hexahedral Cartesian meshes used to model meso-scale atmospheric circulation in 3D. It is used to verify the progress of a novel method for satisfying the Delaunay criterion for structured hexahedral meshes over complex orography with high gradients and wide gradient variability. Based on a simile with potential energy, the iterative method of mesh smoothing is shown to improve mesh quality with logarithmic convergence. The method is evaluated in a practical application in a specific geographic location.

Gridding for Petroleum Reservoir Simulation

We consider optimization of computational grids for petroleum reservoir flo w simulations. In this context grid quality is determined by two independent error sources. On the one hand there is a loss of precision caused by upscaling of geo- logical data from the fine geological grid to the coarser computational grid, and on the other hand there are numerical errors induced by a non-regular computational grid. In this paper we discuss gridding methods addressing these problems within the restrictions of industry-standard flo w simulators. Grid problems in reservoir simulations The ability to predict the performance of a petroleum reservoir is of immense im- portance for the petroleum industry. For obvious reasons one would like to be able to know as much as possible about production rates and total production resulting from different production strategies. To this end, numerical reservoir simulation has gained wide acceptance as an important decision-making tool. By reservoir simulat...