NDLI: Hex-dominant mesh generation for subterranean formation modeling

Content Provider	Springer Nature Link
Author	Ran, Longmin Borouchaki, Houman Benali, Abdallah Bennis, Chakib
Copyright Year	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 surface meshes. Respecting the interface formed by horizons and faults, the volume mesh of the subterranean formation is required to be mainly hexahedral, with a few tetrahedrons, prisms or pyramids allowed along the faults, where mesh non-conformity is tolerated. A “constrained grid” approach is proposed to generate the so-desired mesh. Firstly, each horizon surface is unfolded with fault traces being sewn. Then, for each unfolded horizon, a regular grid with the same topology is generated from its boundary. Subsequently, node relocation and conditional grid refinement are applied to constrain fault traces to the grid. Afterwards, each grid is mapped back to its corresponding 3D horizon surface with fault nodes being split. Finally, a hex-dominant mesh is generated by connecting consecutive grids along corresponding nodes, with some elements cut into two by faults and degenerated into prisms, tetrahedrons, and pyramids. An optimization procedure is then applied to enhance the shape quality of the resulting 3D mesh.
Starting Page	255
Ending Page	268
Page Count	14
File Format	PDF
ISSN	01770667
Journal	Engineering with Computers
Volume Number	28
Issue Number	3
e-ISSN	14355663
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-07-08
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Subterranean formation modeling Hex-dominant mesh generation Mesh optimization Mesh refinement Calculus of Variations and Optimal Control; Optimization Mechanics Systems Theory, Control ApplicationMathematics/Computational Methods of Engineering Computer-Aided Engineering (CAD, CAE) and Design Math. Applications in Chemistry
Content Type	Text
Resource Type	Article
Subject	Engineering Computer Science Applications Modeling and Simulation Software

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