A comparison of methods for estimating Q

Xiong Lei, Eugene C. Morgan

Research output: Contribution to journalConference article

Abstract

Quality factor (Q) as a quantitative measurement of seismic absorption can be used as a hydrocarbon indicator, to implement deconvolution, or in forward modeling. However, quality factor remains difficult to reliably measure from seismic data. A lot of approaches in either the time or frequency domain have been proposed in the past. A good performance was validated in either VSP, crosswell, or sonic waveform data. However, accurate Q extraction needs amplitude or spectrum preservation processing. So, it is, especially for pre-stack data, still challenging because of much more noise interference and more difficult interface tracking. Detailed analysis and comparison of those methods, especially for commonly used centroid frequency shift method, spectral ratio method and peak frequency method, are necessary when estimating Q from reflection data. Beside, in this paper some data preprocessing techniques which aim to improve the accuracy of Q estimation were discussed.

Original languageEnglish (US)
Pages (from-to)3021-3025
Number of pages5
JournalSEG Technical Program Expanded Abstracts
Volume35
DOIs
StatePublished - Jan 1 2016
EventSEG International Exposition and 86th Annual Meeting, SEG 2016 - Dallas, United States
Duration: Oct 16 2011Oct 21 2011

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Deconvolution
Q factors
estimating
Hydrocarbons
spectral methods
preprocessing
Processing
centroids
frequency shift
waveforms
hydrocarbons
interference
Q factor
forward modeling
deconvolution
seismic data
hydrocarbon
method
comparison

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Geophysics

Cite this

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abstract = "Quality factor (Q) as a quantitative measurement of seismic absorption can be used as a hydrocarbon indicator, to implement deconvolution, or in forward modeling. However, quality factor remains difficult to reliably measure from seismic data. A lot of approaches in either the time or frequency domain have been proposed in the past. A good performance was validated in either VSP, crosswell, or sonic waveform data. However, accurate Q extraction needs amplitude or spectrum preservation processing. So, it is, especially for pre-stack data, still challenging because of much more noise interference and more difficult interface tracking. Detailed analysis and comparison of those methods, especially for commonly used centroid frequency shift method, spectral ratio method and peak frequency method, are necessary when estimating Q from reflection data. Beside, in this paper some data preprocessing techniques which aim to improve the accuracy of Q estimation were discussed.",
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A comparison of methods for estimating Q. / Lei, Xiong; Morgan, Eugene C.

In: SEG Technical Program Expanded Abstracts, Vol. 35, 01.01.2016, p. 3021-3025.

Research output: Contribution to journalConference article

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