Rectangular net gridding method for painting contour graph containing rift geological structure

A technology of contour maps and geological bodies, applied in the field of geophysical exploration and mapping, can solve problems such as complex geophysical surfaces, heavy weights, and inaccurate valuations, and achieve the effects of improved search speed, accurate interpolation, and good results
CN100363755CActive Publication Date: 2008-01-23BC P INC CHINA NAT PETROLEUM CORP +1
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
BC P INC CHINA NAT PETROLEUM CORP
Publication Date
2008-01-23

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Abstract

A latticing method for plotting rectangular net of isograms containing normal fault geological body structure includes carrying out pretreatment on scatter data and setting up index for it, carrying out pretreatment on fault layer data and setting up index for it, carrying out data search and interpolation for each lattice point to enable not to seek data point in all discrete point array for raising search speed of data greatly.
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Description

technical field

[0001] The invention relates to geophysical prospecting and mapping technology, in particular to a rectangular grid meshing method for automatically tracking and drawing contour maps of geological body structures containing normal faults. technical background

[0002] During petroleum geological exploration, it is necessary to draw the collected and processed seismic data into a geological structure map. For data with complex fault combination lines (polygons), gridding is required before automatic tracking and drawing of contour lines . Gridding is to use the surrounding discrete data points to calculate the value of the grid node by using the method of fitting or interpolation for the nodes on the regular rectangular grid.

[0003] Gridding technology is the key to the automatic drawing of contour maps. Seismic data often contain faults, making the geoscience surface very complex. Because the original data are often unevenly distributed, sometimes clusters...

Claims

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