초록 ▼

A quantitative method of geologic structural analysis of digital terrain data is described for implementation on a computer. Assuming selected valley segments are controlled by the underlying geologic structure, topographic lows in the terrain data, defining valley bottoms, are detected, filtered an

A quantitative method of geologic structural analysis of digital terrain data is described for implementation on a computer. Assuming selected valley segments are controlled by the underlying geologic structure, topographic lows in the terrain data, defining valley bottoms, are detected, filtered and accumulated into a series line segments defining contiguous valleys. The line segments are then vectorized to produce vector segments, defining valley segments, which may be indicative of the underlying geologic structure. Coplanar analysis is performed on vector segment pairs to determine which vectors produce planes which represent underlying geologic structure. Point data such as fracture phenomena which can be related to fracture planes in 3-dimensional space can be analyzed to define common plane orientation and locations. The vectors, points, and planes are displayed in various formats for interpretation.

대표청구항 ▼

The method of analyzing topographical data to detect and plot geological fracture and/or bedding planes, comprising: inputting a matrix of data derived from undulations of the earth into a computer memory wherein said matrix comprises point elevations over a geographical area corresponding to said m

The method of analyzing topographical data to detect and plot geological fracture and/or bedding planes, comprising: inputting a matrix of data derived from undulations of the earth into a computer memory wherein said matrix comprises point elevations over a geographical area corresponding to said matrix, comparing said point elevations within a predetermined detection area smaller than said geographical area to determine lower points identified as valley points, assembling adjacent valley points into strings, and said strings into vectors of substantially common direction, comparing vectors to determine vectors lying in substantially common planes, and outputting data identifying said substantially common planes.