Autocorrelogram Migration: IVSPWD test

Yu, Jianhua; Katz, Lewis J.; Followill, Fred E.; Sun, Huiping; Schuster, Gerard T.

doi:10.1190/1.1543215

Cited by 10 publications

(15 citation statements)

References 8 publications

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“…Current interferometric approaches to processing drill-bit noise records rely on correlations ͑e.g., Schuster et al, 2003;Yu et al, 2004͒. The crosscorrelation of wavefields measured at r A and r B is, in the frequency domain, given by C AB ‫ס‬ u͑r A ,s͒u * ͑r B ,s͒ ‫ס‬ ͉W͑s͉͒ 2 G͑r A ,s͒G * ͑r B ,s͒, ͑7͒…”

Section: Drill-bit Seismic Imaging and Deconvolution Interferometrymentioning

confidence: 98%

“…In most seismic-while-drilling ͑SWD͒ applications ͑e.g., , data acquisition and imaging geometries fall under the category of reverse vertical seismic processing ͑RVSP͒ experiments, in which knowledge of the position of the drill bit is required. With the autocorrelogram migration method, Schuster et al ͑2003͒ andYu et al ͑2004͒ recognize that interferometry could be applied to SWD data without any knowledge of drill-bit position. Poletto and Petronio ͑2006͒ use interferometry to characterize fault zones ahead of a tunnel being drilled.…”

Section: Introductionmentioning

confidence: 99%

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Interferometry by deconvolution: Part 2 — Theory for elastic waves and application to drill-bit seismic imaging

2008

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Deconvolution interferometry successfully recovers the impulse response between two receivers without the need for an independent estimate of the source function. Here we extend the method of interferometry by deconvolution to multicomponent data in elastic media.As in the acoustic case, elastic deconvolution interferometry retrieves only causal scattered waves that propagate between two receivers as if one acts as a pseudosource of the point-force type. Interferometry by deconvolution in elastic media also generates artifacts because of a clamped-point boundary condition imposed by the deconvolution process. In seismic-while-drilling ͑SWD͒ practice, the goal is to determine the subsurface impulse response from drill-bit noise records. Most SWD technologies rely on pilot sensors and/or models to predict the drill-bit source function, whose imprint is then removed from the data. Interferometry by deconvolution is of most use to SWD applications in which pilot records are absent or provide unreliable estimates of bit excitation. With a numerical SWD subsalt example, we show that deconvolution interferometry provides an image of the subsurface that cannot be obtained by correlations without an estimate of the source autocorrelation. Finally, we test the use of deconvolution interferometry in processing SWD field data acquired at the San Andreas Fault Observatory at Depth ͑SAFOD͒. Because no pilot records were available for these data, deconvolution outperforms correlation in obtaining an interferometric image of the San Andreas fault zone at depth.

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Section: Drill-bit Seismic Imaging and Deconvolution Interferometrymentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Interferometry by deconvolution: Part 2 — Theory for elastic waves and application to drill-bit seismic imaging

2008

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“…Here,¨ (g , g, t) gdir represents, after a Fourier transform in ω, the second time derivative of the crosscorrelation of trace at g with another trace at location g summed over different source positions. If the wavelet power spectrum |W (ω)| 2 is not wideband, then a source power spectrum deconvolution can be implemented prior to processing, as performed by Yu et al (2003).…”

Section: Ghost-direct Migration In the Time Domainmentioning

confidence: 99%

“…After sorting, the data set consists of 23 CRGs, each with 98 traces. Before crosscorrelating, some preprocessing steps are required as described in Yu et al (2003). Figure 10a shows a CRG.…”

Section: Field Data Examplementioning

confidence: 99%

Crosscorrelogram migration of inverse vertical seismic profile data

Schuster

2006

GEOPHYSICS

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We present the theory of crosscorrelogram migration of ghost reflections, also known as interferometric imaging, to delineate reflector geometries from inverse vertical seismic profile data. The theory includes the equations for forward modeling, migration, asymptotic inversion, and model resolution of crosscorrelgrams. Rather than using primary reflections, crosscorrelogram migration can use ghost reflections to reconstruct the reflector geometry. Other multiples can be used as well, including pegleg multiples and higher-order multiples. Its main advantages over conventional Kirchhoff migration are (1) both source location (e.g., drill-bit position) and source wavelet need not be known (such as when using a drill bit as a source in a deviated well), (2) it is insensitive to source-related static errors, and (3) it has wider subsurface illumination than conventional Kirchhoff migration of primary reflections. Crosscorrelation migration can effectively widen the source-receiver aperture by more than 50% compared to standard inverse vertical seismic profile (IVSP) migration. The primary disadvantages are (1) it uses ghost reflections for imaging, which can be weaker (or sometimes more distorted) than primary reflections; (2) crosscorrelation creates virtual multiples that can sometimes appear as coherent noise in the final image; and (3) it has poorer horizontal resolution than standard IVSP migration. Results from imaging simulated IVSP traces show that crosscorrelation migration produces reflectivity-like images that correlate well with the actual reflector geometry of a layered fault model. These images are almost completely immune to static errors at the source location and have wider subsurface illumination than conventional IVSP migration images. We also apply crosscorrelation migration to IVSP data recorded at a Friendswood, Texas, test site. Results show that the crosscorrelation image correlates better with the well log and wider subsurface illumination than a conventional Kirchhoff migration image.

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“…Katz (1990) applied Claerbout's 1-D autocorrelation imaging method to inverse vertical seismic profiling (IVSP) data. Schuster et al (1997; and Yu et al (2003) developed Katz's method to multidimensional autocorrelogram migration for inverse vertical seismic profile-while-drilling (IVSPWD) data.…”

Section: Introductionmentioning

confidence: 99%

Joint interferometric imaging of walkaway VSP data

2010

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In this paper, we image the subsurface reflectors by interferometric imaging using primary and downgoing first-order free-surface related multiple reflections in walkaway VSP data. By analyzing the stack fold distribution, we find that primary-direct interferometric imaging has a smaller image range, but its stack fold is higher near the well while ghostdirect interferometric imaging is the opposite. We try to solve this problem by the joint interferometric imaging of walkaway VSP data, combining primary-direct interferometric imaging with ghost-direct interferometric imaging. In this way, we can effectively widen the imaging range, simultaneously increase the fold (especially near the well), suppress spurious interference, and improve the image SNR, so that we can get a more credible image. Test results on synthetic walkaway VSP data and field data show that joint interferometric imaging is very effective.

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Autocorrelogram Migration: IVSPWD test

Cited by 10 publications

References 8 publications

Interferometry by deconvolution: Part 2 — Theory for elastic waves and application to drill-bit seismic imaging

Interferometry by deconvolution: Part 2 — Theory for elastic waves and application to drill-bit seismic imaging

Crosscorrelogram migration of inverse vertical seismic profile data

Joint interferometric imaging of walkaway VSP data

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