从复杂地质地层学模型自动生成网格方法.docx

从复杂地质地层学模型自动生成网格方法.docx

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从复杂地质地层学模型自动生成网格方法

从复杂地质地层学模型自动生成网格方法Automated Grid Generation From Models of Complex Geologic Structure and Stratigraphy/ }; h8 l/ q- C- y Y0 K2 F) ICarl Gable, Harold Trease and Terry Cherry======================. b# U; c0 {1 S9 K a: A- rAbstract z7 C8 r6 ~??B4 t! G( c6 o, E) N??k?The construction of computational grids which accurately reflect complex geologic structure and stratigraphy for flow and transport models poses a formidable task. With an understanding of stratigraphy, material properties and boundary and initial conditions, the task of incorporating this data into a numerical model can be difficult and time consuming. Most GIS tools for representing complex geologic volumes and surfaces are not designed for producing optimal grids for flow and transport computation. We have developed a tool, GEOMESH, for generating finite element grids that maintain the geometric integrity of input volumes, surfaces, and geologic data and produce an optimal (Delaunay) tetrahedral grid that can be used for flow and transport computations.??GEOMESH also satisfies the constraint that the geometric coupling coefficients of the grid are positive for all elements. GEOMESH generates grids for two dimensional cross sections, three dimensional regional models, represents faults and fractures, and has the capability of including finer grids representing tunnels and well bores into grids. GEOMESH also permits adaptive grid refinement in three dimensions. The tools to glue, merge and insert grids together demonstrate how complex grids can be built from simpler pieces. The resulting grid can be utilized by unstructured finite element or integrated finite difference computational physics codes.# c1 O: S/ a6 }( r, r9 P o7 @; `) }; U5 Y M$ v3 \Grid Generation and GIS?Grid generation is a broad field with applications in aerodynamics, material science, biology, earth science, chemistry and physics, for example. For any problem where there is a need to represent continuous functions with discrete points,

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