Introduction to this special section: Low-frequency seismic

Dragoset, Bill; Gabitzsch, Jozica

doi:10.1190/1.2431829

Cited by 25 publications

(13 citation statements)

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“…Thus we see a fundamental difference between transmission and reflection imaging: In transmission imaging low frequency features f can be recovered irrespectively of the frequency content of the source pulse q, whereas in reflection imaging one needs low frequencies in the source pulse to recover low frequency features in f . This is one of the main difficulties in seismic imaging; see [9,19,22,30,60]. To the best of our knowledge, Fig.…”

Section: The Model Problemmentioning

confidence: 99%

Sonic Imaging

Natterer

2014

Handbook of Mathematical Methods in Imaging

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This paper deals with the inverse problem of the wave equation, which is of relevance in fields such as ultrasound tomography, seismic imaging, and nondestructive testing. We study the linearized problem by Fourier analysis, and we describe an iterative reconstruction method for the fully nonlinear problem in the time domain. We discuss practical problems such as the spectral incompleteness in reflection imaging and finding a good initial approximation. We demonstrate by numerical reconstructions from synthetic data what can be achieved.

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Section: The Model Problemmentioning

confidence: 99%

Sonic Imaging

Natterer

2014

Handbook of Mathematical Methods in Imaging

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“…Seismic data are band limited and usually lack the low-frequency information that is necessary for accurate estimation of absolute impedance values (e.g., Dragoset and Gabitzsch, 2007). Industry-standard seismic reflection data typically have increasingly negligible seismic energy as the frequency falls below 10 Hz.…”

Section: Cooperative Joint-inversion Workflowmentioning

confidence: 99%

Cooperative joint inversion of 3D seismic and magnetotelluric data: With application in a mineral province

et al. 2015

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The integration of different geophysical data has the potential to provide more accurate estimate of subsurface rock properties. Several methodologies and attempts have been developed over the years with the objective of reducing exploration risk. We have developed a cooperative joint-inversion approach intended to facilitate recovery of acoustic impedance (AI) using seismic and magnetotelluric (MT) data. In this approach, the MT data provided a pathway for iteratively building large-scale low-frequency information content not directly recoverable from the seismic data themselves. The MT data provided complementary information to seismic, especially in seismically complex terrains such as overthrust belts, subbasalt and subsalt, carbonate reefs or for targets below deep cover containing limestone, concretionary layers, or basalt. On the other hand, the seismic data provided structural information necessary to derive accurate resistivity models from MT inversion and small-scale features during seismic impedance inversion. The connections between resistivity and the elastic property of rocks are obtained from petrophysical relationships derived from available borehole data, or if not available, from empirical relationships. We tested our technique on synthetic and field data. The application of cooperative joint inversion to 3D seismic and MT data sets acquired in a mineral province made it possible to recover AI distribution across a wide range of geologic environments. The resulting rock property images provided a direct link to geology that is exceedingly difficult, if not impossible, to extract from the individual data sets.

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“…The major three potential benefits of extending the bandwidth of seismic data to well below 10 Hz are: 1) better imaging for deep exploration targets; 2) more accurate seismic inversion; and 3) higher vertical resolution (Dragoset and Gabitzsch, 2007;Lau et al, 2007;Martin and Stewart, 1994;Whitcombe and Hodgson, 2007). In practice, there are still a number of obstacles that must be overcome to extend the useful bandwidth of seismic data much below 10 Hz.…”

Section: Introductionmentioning

confidence: 97%

“…One is that the seismic sources have limited capacity to produce significant output power at low frequencies. The other is that the power level of the noise increases exponentially as frequency decreases in most acquisition conditions (Dragoset and Gabitzsch, 2007). Employing broadband source and recording technology can apparently contribute to alleviating this problem (Mougenot, 2006), but for complex acquisition environment and existing seismic records, signal processing is a more economic and practical solution.…”

Section: Introductionmentioning

confidence: 99%

A hybrid method for strong low-frequency noise suppression in prestack seismic data

2014

Journal of Applied Geophysics

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Introduction to this special section: Low-frequency seismic

Cited by 25 publications

References 0 publications

Sonic Imaging

Sonic Imaging

Cooperative joint inversion of 3D seismic and magnetotelluric data: With application in a mineral province

A hybrid method for strong low-frequency noise suppression in prestack seismic data

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