Over 40,000 vibrator points per day with real‐time quality control: opportunities and challenges

Pecholcs, Peter I.; Lafon, Stephen K.; Alghamdi, Turki Ali; Al-Shammery, Hafiz; Kelamis, Panos G.; Huo, Shoudong; Winter, Olivier De; Kerboul, Jean-Baptiste; Klein, Thierry

doi:10.1190/1.3513041

Cited by 34 publications

(28 citation statements)

References 7 publications

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“…In this problem we do not try to precisely fit the modelled data to the observation, but rather keep the residue within a certain limit σ. The SPGL1 solver of van den Berg and Friedlander (2008) was designed to solve this problem. Deploying the solver yields an estimate of the effective reflectivity.…”

Section: Methodsmentioning

confidence: 99%

“…The authors thank the DELPHI consortium sponsors for their support and thank the authors of SPARCO (van den Berg et al, 2007) and SPGL1 (van den Berg and Friedlander, 2008) …”

Section: Acknowledgementsmentioning

confidence: 99%

“…However, new success stories of great production increase due to blending, see Howe et al (2009), Pecholcs et al (2010) have captured the attention of the industry. In the marine case, the concept of blending is not so widespread.…”

Section: Introductionmentioning

confidence: 99%

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Separation of Blended Data by Sparse Inversion Utilizing Surface-related Multiples

Doulgeris¹,

Verschuur²,

Blacquière³

2012

Proceedings

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SUMMARYBlended surveys have recently appeared in production environments. This underlines the need for processing tools that will either process the recorded data directly or perform the separation into single source data (deblending). An inversion technique for the separation of such data is described here. The problem parameterization utilises the surface-related multiples in order to regularise the inversion. In this way, the separation and surface-related multiple elimination are performed in one step. Also, the physical meaning of the model space is exploited during the inversion by formulating the problem as a Basis Pursuit Denoise problem. The method has been applied on a synthetic dataset and it produced promising results.

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Section: Methodsmentioning

confidence: 99%

“…The authors thank the DELPHI consortium sponsors for their support and thank the authors of SPARCO (van den Berg et al, 2007) and SPGL1 (van den Berg and Friedlander, 2008) …”

Section: Acknowledgementsmentioning

confidence: 99%

See 1 more Smart Citation

Separation of Blended Data by Sparse Inversion Utilizing Surface-related Multiples

Doulgeris¹,

Verschuur²,

Blacquière³

2012

Proceedings

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show abstract

“…In these methods, the resulting records do not suffer from interference in space or time. A change in mindset though is occurring the last few years with land surveys that do not obey the constraint of no overlap, see Howe et al (2009) and Pecholcs et al (2010). Such a paradigm of productivity increase has not been realized for the marine case yet.…”

Section: Introductionmentioning

confidence: 99%

Iterative separation of blended marine data: Discussion on the coherence‐pass filter

Doulgeris

Mahdad

Gerrit

2011

SEG Technical Program Expanded Abstracts 2011

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“…Examples are Beasley (2008), Berkhout (2008), Howe et al (2009), andPecholcs et al (2010). A blended wavefield is generated by firing a multitude of sources, each source with its own code, together forming a blended source array.…”

Section: Introductionmentioning

confidence: 99%

Blended Acquisition with Optimized Dispersed Source Arrays

Berkhout¹,

Blacquière²

2012

Proceedings

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SUMMARYUntil now, blended source arrays are configured with closely spaced source units, such as broadband airgun arrays (marine) and broadband vibrator arrays (land). In the latter case the source units are equal. We refer to this concept as homogeneous blending. In this paper the blending concept is extended to inhomogeneous blending, meaning that a blended source array consists of different source units that may be far apart. We propose for these units simple narrowband sources with different central frequencies.

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Over 40,000 vibrator points per day with real‐time quality control: opportunities and challenges

Cited by 34 publications

References 7 publications

Separation of Blended Data by Sparse Inversion Utilizing Surface-related Multiples

Separation of Blended Data by Sparse Inversion Utilizing Surface-related Multiples

Iterative separation of blended marine data: Discussion on the coherence‐pass filter

Blended Acquisition with Optimized Dispersed Source Arrays

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