Relative peak frequency increment method for quantitative thin-layer thickness estimation

Luping Sun , Xiaodong Zheng , Hao Shou

Journal of Earth Science ›› 2013, Vol. 24 ›› Issue (6) : 1068 -1078.

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Journal of Earth Science ›› 2013, Vol. 24 ›› Issue (6) : 1068 -1078. DOI: 10.1007/s12583-013-0387-1
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Relative peak frequency increment method for quantitative thin-layer thickness estimation

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Abstract

Quantitative thickness estimation of thin-layer is a great challenge in seismic exploration, especially for thin-layer below tuning thickness. In this article, we analyzed the seismic response characteristics of rhythm and gradual type of thin-layer wedge models and presented a new method for thin-layer thickness estimation which uses relative peak frequency increment. This method can describe the peak frequency to thickness relationship of rhythm and gradual thin-layers in unified equation while the traditional methods using amplitude information cannot. What’s more, it won’t be influenced by the absolute value of thin-layer reflection coefficient and peak frequency of wavelet. The unified equations were presented which can be used for rhythm and gradual thin-layer thickness calculation. Model tests showed that the method we introduced has a high precision and it doesn’t need to determine the value of top or bottom reflection coefficient, so it has a more wide application in practice. The application of real data demonstrated that the relative peak frequency increment attribute can character the plane distribution feature and thickness characteristic of channel sand bodies very well.

Keywords

thin-layer / quantitative estimation / relative peak frequency increment / Ricker wavelet

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Luping Sun, Xiaodong Zheng, Hao Shou. Relative peak frequency increment method for quantitative thin-layer thickness estimation. Journal of Earth Science, 2013, 24(6): 1068-1078 DOI:10.1007/s12583-013-0387-1

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References

[1]

Bai G J, Wu H N, Zhao X G, . Research on Prediction of Thin Bed Thickness Using Seismic Data and Its Application. Progress in Geophysics, 2006, 21(2): 554-558.

[2]

Chopra S, Castagna J P. Thin-Bed Reflectivity Inversion. SEG 76th Annual International Meeting Expanded Abstracts, New Orleans. 2057–2061, 2006

[3]

Chopra S, Castagna J P. Thin-Bed Reflectivity Inversion and Seismic Interpretation. SEG 77th Annual International Meeting Expanded Abstracts, San Antonio. 1923–1927, 2007

[4]

Chung H M, Lawton D C. Amplitude Responses of Thin Beds: Sinusoidal Approximation versus Ricker approximation. Geophysics, 1995, 60(3): 223-230.

[5]

Dou Y S. Thin Bed Interpretation with Amplitude Spectrum Square Ratio Method. Oil Geophysical Prospecting, 1995, 30(2): 57-65.

[6]

Gridley J A, Partyka G A. Processing and Interpretational Aspects of Spectral Decomposition. SEG Technical Program Expanded Abstracts, Dallas, 1997, 1055-1058.

[7]

Huang Z P, Wang X H, Wang Y Z. Parameter Analysis of Seismic Attributes and Thickness Prediction for Thin Bed. Geophysical Prospecting for Petroleum, 1997, 36(3): 28-38.

[8]

Huang X D. Discussion on Notches in Thin Bed. Progress in Exploration Geophysics, 2002, 25(5): 1-6.

[9]

Kallweit R S, Wood L C. The Limits of Resolution of Zero-Phase Wavelets. Geophysics, 1982, 47(7): 1035-1046.

[10]

Koefoed O, Voogd N D. The Linear Properties of Thin Layers: With an Application to Synthetic Seismograms over Coal Seams. Geophysics, 1980, 45(8): 1254-1268.

[11]

Liu J L, Marfurt K J. Thin Bed Thickness Prediction Using Peak Instantaneous Frequency. SEG 76th Annual International Meeting Expanded Abstracts, New Orleans, 2006, 968-972.

[12]

Marfurt K J, Kirlin R L. Narrow-Band Spectral Analysis and Thin-Bed Tuning. Geophysics, 2001, 66(4): 1274-1283.

[13]

Neidell N S, Poggiagliolmi E. Stratigraphic Modeling and Interpretation-Geophysical Principles and Techniques. American Association of Petroleum Geologists, Special Memoir, 1977, 26: 389-416.

[14]

Okaya D. Spectral Properties of the Earth’s Contribution to Seismic Resolution. Geophysics, 1995, 60(1): 241-251.

[15]

Partyka G A. Spectral Decomposition, 2005 Houston: SEG Distinguished Lecture

[16]

Partyka G A, Gridley J A, Lopez J A. Interpretational Aspects of Spectral Decomposition in Reservoir Characterization. The Leading Edge, 1999, 18(3): 353-360.

[17]

Portniaguine O, Castagna J P. Inverse Spectral Decomposition. SEG 74th Annual International Meeting Expanded Abstracts, Denver, 2004, 1786-1789.

[18]

Puryear C I, Castagna J P. Layer-Thickness Determination and Stratigraphic Interpretation Using Spectral Inversion: Theory and Application. Geophysics, 2008, 73(2): 37-48.

[19]

Ricker N. Wavelet Contraction, Wavelet Expansion, and the Control of Seismic Resolution. Geophysics, 1953, 18(4): 769-792.

[20]

Sun L P, Zheng X D, Shou H, . Quantitative Prediction of Channel Sand Bodies Based on Seismic Peak Attributes in the Frequency Domain and Its Application. Applied Geophysics, 2010, 7(1): 10-17.

[21]

Sun L P, Zheng X D, Li J S, . Thin-Bed Thickness Calculation Formula and Its Approximation Using Peak Frequency. Applied Geophysics, 2009, 6(3): 234-240.

[22]

Widess M. How Thin Is a Thin bed?. Geophysics, 1973, 38(6): 1176-1180.

[23]

Yao J Y. Calculating Thin-Bed Thickness in Frequency Domain. Oil Geophysical Prospecting, 1991, 26(5): 594-599.

[24]

Zhang M Z, Yin X Y, Yang C C, . 3D Seismic Description for Meander Sediment Micro-Facies. Petroleum Geophysics, 2007, 5(1): 39-42.

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