Logic tree-based GIS inference of geologic structure

Charles C. Ryerson; Thomas S. Anderson

doi:10.1117/12.738004

29 October 2007 Logic tree-based GIS inference of geologic structure

Proceedings Volume 6749, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII; 67491F (2007) https://doi.org/10.1117/12.738004
Event: SPIE Remote Sensing, 2007, Florence, Italy

Abstract

We describe the concept for a logic-tree based geographic information system (GIS) that can infer subsurface geology and material properties using geoinformatics concepts. A proof-of-concept system was devised and tested integrating the capabilities of traditional terrain- and image-analysis procedures with a GIS to manipulate geospatial data. Structured logic trees were developed to guide an analyst through an interactive, geologic analysis based on querying and mentoring heuristic logic. The hypotheses were that a GIS can be programmed to 1) follow the fundamental logic sequence developed for traditional terrain- and image analysis procedures; 2) augment that sequence with correlative geospatial data from a variety of sources; and 3) integrate the inferences and data to develop "best-guess" estimates. We also developed a method to estimate depth to bedrock, and expanded an existing method to determine water table depth. Blind evaluations indicate that an analyst can infer the correct geologic conditions 70-80% of the time using this method. This geologic analysis technique can be applied wherever an estimate of subsurface geology is needed. We apply the results of our geological analysis to the prediction of local site specific seismic propagation. Comparisons are made with synthetic seismograms computed from a limited set of geological vignettes.

Citation Download Citation

Charles C. Ryerson and Thomas S. Anderson "Logic tree-based GIS inference of geologic structure", Proc. SPIE 6749, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII, 67491F (29 October 2007); https://doi.org/10.1117/12.738004

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