ARTICLE

Gas chimney identification using the integration of seismic attributes

M.R. BAKHTIARI1 M.A. RIAHI2
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1 NIOC Exploration Directorate, P.O. Box 19395-6669, Tehran, Iran.,
2 Institute of Geophysics, University of Tehran, P.O. Box 14155-6466, Tehran, Iran.,
JSE 2009, 18(1), 43–56;
Submitted: 9 June 2025 | Revised: 9 June 2025 | Accepted: 9 June 2025 | Published: 9 June 2025
© 2025 by the Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

Bakhtiari, M.R. and Riahi, M.A., 2009. Gas chimney identification using the integration of seismic attributes. Journal of Seismic Exploration, 18: 43-56. Open and fluid conductive fractures in some reservoir rocks cause gas accumulation in upper horizons leading to a gas column resembling a chimney and thus known as a gas chimney. There are two different methods for identification of gas chimney locations; the first one is the direct viewing of signal amplitude variations and in the second method, single seismic attributes like dip variance, energy and similarity, etc. are used. In this paper we introduce a new method based on the direct viewing of amplitude variations and the integration of several attributes in an Artificial Neural Network (ANN). A comparison of the results obtained by the presented approach with those given by the common approach using only amplitude viewing method or single seismic attribute shows a considerable improvement in the identification of gas chimney location.

Keywords
gas chimney
seismic attributes
artificial neural network
amplitude
dip variance
energy
similarity
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Journal of Seismic Exploration, Electronic ISSN: 0963-0651 Print ISSN: 0963-0651, Published by AccScience Publishing