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Title: Seismic Image Segmentation

Abstract

Image segmentation is a standard low-level task in computer vision. We demonstrate how the segmentation of seismic images can assist in geologic interpretation. An image segmentation technique is applied to images of the acoustic impedance. A salient feature of the resulting segments is that the hydrocarbon-bearing regions are characterized by a finer segmentation than the other regions. A modified apparent polarity attribute is introduced, and images of this attribute are segmented. The boundaries of the resulting segments pass through the minima and maxima of the acoustic impedance in a manner that allows us to segment the acoustic impedance image into layers of high and low acoustic impedance. Our methods can assist in segmentation of acoustic impedance images according to lithology or geologic facies.

Authors:
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
U; USDOE Office of Fossil Energy (FE) (US)
OSTI Identifier:
3446
Report Number(s):
ORNL/CP-101134; KC 04 01 03 0
KC 04 01 03 0; TRN: AH200112%%464
DOE Contract Number:  
AC05-96OR22464
Resource Type:
Conference
Resource Relation:
Conference: European Association of Geoscientists and Engineers Conference, Helsinki (FI), 06/07/1999--06/11/1999; Other Information: PBD: 7 Jun 1999
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; ACOUSTICS; COMPUTERS; ENGINEERS; IMPEDANCE; LITHOLOGY; VISION

Citation Formats

Wiseman, S. Seismic Image Segmentation. United States: N. p., 1999. Web.
Wiseman, S. Seismic Image Segmentation. United States.
Wiseman, S. 1999. "Seismic Image Segmentation". United States. https://www.osti.gov/servlets/purl/3446.
@article{osti_3446,
title = {Seismic Image Segmentation},
author = {Wiseman, S},
abstractNote = {Image segmentation is a standard low-level task in computer vision. We demonstrate how the segmentation of seismic images can assist in geologic interpretation. An image segmentation technique is applied to images of the acoustic impedance. A salient feature of the resulting segments is that the hydrocarbon-bearing regions are characterized by a finer segmentation than the other regions. A modified apparent polarity attribute is introduced, and images of this attribute are segmented. The boundaries of the resulting segments pass through the minima and maxima of the acoustic impedance in a manner that allows us to segment the acoustic impedance image into layers of high and low acoustic impedance. Our methods can assist in segmentation of acoustic impedance images according to lithology or geologic facies.},
doi = {},
url = {https://www.osti.gov/biblio/3446}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jun 07 00:00:00 EDT 1999},
month = {Mon Jun 07 00:00:00 EDT 1999}
}

Conference:
Other availability
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