Features extraction and image analysis of seismic sections

Maria A. Zoran; Liviu Florin Zoran

doi:10.1117/12.511240

13 February 2004 Features extraction and image analysis of seismic sections

Maria A. Zoran, Liviu Florin Zoran

Proceedings Volume 5239, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III; (2004) https://doi.org/10.1117/12.511240
Event: Remote Sensing, 2003, Barcelona, Spain

Abstract

A seismic section is intermediate step between the material response of the Earth surface to seismic activity. As derived from materials properties (density, elastic modules and attenuation) the seismic response is numerical in nature. Data sets are transformed into plots or are exhibited as images. Geological interpreting of cross section is based on regions of lithological affinity. An interpreter considers the section as a transitional step from a wavefield to a map and views it as an image. Understanding the section is a complex process of features extraction and image analysis. Seismic sections contain 10⁵ times more data that is needed to fully describe a completely interpreted section. This paper suggests three ways to reduce the data set size for seismic section analysis by a global factor of 100 or more. The interpretation becomes a problem of a pattern classification using clustering algorithms that highlight the important statigraphic attributes by operating on various transformed domains. The evaluation of seismic sections means processing the data and the new image interpreting. Could be identified: location and dip of faults, sense of motion along them, boundaries, reflection geometry and the degree of continuity. Such model can be applied for seismic sections in Vrancea seismic area, Romania.

Citation Download Citation

Maria A. Zoran and Liviu Florin Zoran "Features extraction and image analysis of seismic sections", Proc. SPIE 5239, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III, (13 February 2004); https://doi.org/10.1117/12.511240

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