White Rose seismic with well data constraints: A case history

Kaderali, Ayiaz; Jones, Michael; Howlett, Jonathan G.

doi:10.1190/1.2748491

Cited by 17 publications

(3 citation statements)

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“…It is also conceptually similar to that of Kaderali et al (2007), who apply inverse Q deconvolution to VSP downgoing direct arrivals, for a range of Q values, and select as a "correct" Q value, which give the most consistent wavelet shape with respect to depth/time, judged from a semblance statistic.…”

Section: Stable Q-analysis Methodsmentioning

confidence: 99%

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Stable Q analysis on vertical seismic profiling data

Wang

2014

GEOPHYSICS

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Vertical seismic profiling (VSP) provides a direct observation of seismic waveforms propagating to various depths within the earth's subsurface. The Q analysis or attenuation (1∕Q) analysis based on direct comparison between individual waveforms at different depths, however, suffers from the problem of instability commonly due to fluctuations inherent in the frequency spectrum of each waveform. To improve the stability, we considered frequency and time variations and conducted Q analysis on an integrated observation. First, we transformed the time-(or depth-) frequency-domain spectrum to a 1D attenuation measurement with respect to a single variable, the product of time and frequency. Although this 1D measurement has a higher signal-to-noise ratio than the 2D spectrum in the time-frequency domain, it can also be used to further generate a stabilized compensation function. Then, we implemented two Q-analysis methods by data fitting (in a least-squares sense) to either the attenuation measurement or the data-driven gain function. These two methods are theoretically consistent and practically robust for conducting Q analysis on field VSP data.

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Section: Stable Q-analysis Methodsmentioning

confidence: 99%

“…Nevertheless, fit-forpurpose Q values are used routinely for lithological interpretation (Adam et al, 2009;Reine et al, 2009Reine et al, , 2012. The review papers by Campbell et al (2005) and Kaderali et al (2007) amply demonstrate the capacity of VSPs to deliver satisfactory results in an appropriate circumstance.…”

Section: Introductionmentioning

confidence: 99%

Stable Q analysis on vertical seismic profiling data

Wang

2014

GEOPHYSICS

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“…Для устранения этого эффекта разрабо-таны разнообразные методы так на-зываемой обратной Q-фильтрации (Q-деконволюции) , кото-рая может работать одновременно с миграцией . В результате получаются сейсмические изображе-ния среды почти «идеального» вида с улучшенной разрешенностью и пра-вильным позиционированием в про-странстве и времени, что создает бла-гоприятные условия для последующей структурной интерпретации [Kaderali et al, 2007]. Необходимая для функцио-нирования этого метода информация о поглощении может быть получена из скважинных [Kaderali et al, 2007] или поверхностных [Тяпкин, Шадура, 2010; Тяпкин и др., 2011] данных.…”

Section: посвящается 90-летию со дня рождения (3 марта 1927 г) выдаюunclassified