none 10.1190/geo2011-0323.1 Society of Exploration Geophysicists Society of Exploration Geophysicists 186 57874982 5981 2025121115254704000 10.1190 2025-12-11T20:25:51Z 2012-09-28T15:32:22Z 50 Geophysics 1942-2156 0016-8033 11 1 2012 11 01 2012 77 6 Yanghua Wang Imperial College London 1 , Centre for Reservoir Geophysics, Department of Earth Science and Engineering, London, . E-mail: yanghua.wang@imperial.ac.uk . U. K ABSTRACT The seismic frequency spectrum provides a useful source of information for reservoir characterization. For a seismic profile presented in the time-space domain, a vector of the frequency spectrum can be generated at every sampling point. Because the spectrum vectors at different time-space locations have different variation features, I attempt for the first time to exploit the variation pattern of the frequency spectrum for reservoir characterization, and test this innovative technology in prediction of coalbed methane (CBM) reservoirs. The prediction process implicitly takes account of the CBM reservoir factors (such as viscosity, elasticity, cleat system, wave interference within a coal seam, etc.) that affect the frequency spectrum, but strong amplitudes in seismic reflections do not necessarily show any influence in clustering analysis of spectral variation patterns. By calibrating these variation patterns quantitatively with CBM productions in well locations, we are able to characterize the spatial distribution of potential reservoirs. 11 1 2012 11 01 2012 09 27 2012 M89 M95 10.1190/geo2011-0323.1 https://pubs.geoscienceworld.org/geophysics/article/77/6/M89/308402/Reservoir-characterization-based-on-seismic https://pubs.geoscienceworld.org/seg/geophysics/article-pdf/77/6/M89/3221929/geo2011-0323.pdf https://pubs.geoscienceworld.org/seg/geophysics/article-pdf/77/6/M89/3221929/geo2011-0323.pdf http://geophysics.geoscienceworld.org/cgi/doi/10.1190/geo2011-0323.1 0149-1423 AAPG Bulletin Bachu 87 2003 10.1306/06030302015 Possible controls of hydrogeological and stress regimes on the producibility of coalbed methane in Upper Cretaceous-Tertiary strata of the Alberta basin, Canada Self-organizing maps Kohonen 1995 10.1007/978-3-642-97610-0 1053-587X IEEE Transactions on Signal Processing Mallat 41 1993 10.1109/78.258082 Matching pursuit with time-frequency dictionaries A wavelet tour of signal processing Mallat 2009 0016-8033 Geophysics Morlet 47 1982 10.1190/1.1441328 Wave propagation and sampling theory — Part I, complex signal and scattering in multilayered media 0016-8033 Geophysics Morlet 47 1982 10.1190/1.1441329 Wave propagation and sampling theory — Part II, sampling theory and complex waves 0016-8033 Geophysics Peng 71 4 2006 10.1190/1.2217137 Factors facilitating or limiting the use of AVO for coalbed methane 0016-8033 Geophysics Shuck 61 1996 10.1190/1.1443961 Multicomponent 3D characterization of a coalbed methane reservoir Information and classification, concepts, methods and applications Ultsh 1993 Self-organizing neural networks for visualization and classification 0016-8033 Geophysics Wang 72 1 2007 10.1190/1.2387109 Seismic time-frequency spectral decomposition by matching pursuit 0016-8033 Geophysics Wang 75 4 2010 10.1190/1.3462015 Multichannel matching pursuit for seismic trace decomposition