Predicting and removing complex 3D surface multiples with WEM modeling—an alternative to 3D SRME for wide azimuth surveys?

Stork, Christof; Kapoor, Jerry; Zhao, Wei; Dragoset, Bill; Dingwall, Ken

doi:10.1190/1.2370078

Cited by 25 publications

(9 citation statements)

References 5 publications

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“…In addition to all techniques discussed in this paper, the new preprocessing included a wavefield extrapolation modeling based demultiple applied to downgoing data (Xia et al, 2006;Stork et al 2006). Figure 7 compares images from Kirchhoff mirror migration that demonstrate the accumulated effect of the new preprocessing applied to the OBN data and the use of much better model in migration compared to the fast-track migration.…”

Section: Resultsmentioning

confidence: 99%

Deepwater OBN - Exploiting data-processing possibilities

Kristiansen

Ogunsakin

Esotu

et al. 2014

SEG Technical Program Expanded Abstracts 2014

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In this paper we are describing the processing flow for deepwater sparse node OBN processing. Some of the processing steps which are unique to OBN processing are discussed in details. Some of the steps in the processing handle variations which are not repeatable between surveys and taking out the variations are important not only for imaging of single surveys, but also for limiting the 4D noise in OBN results. The different methods for QC-ing OBN processing results are discussed as well as the effect of the datum difference on how to QC the data. The result of the full processing of the OBN data is compared with a fast-track processing of a downgoing only dataset.

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Section: Resultsmentioning

confidence: 99%

Deepwater OBN - Exploiting data-processing possibilities

Kristiansen

Ogunsakin

Esotu

et al. 2014

SEG Technical Program Expanded Abstracts 2014

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“…The Green function can be obtained from primary data compensated for the source signature (data-driven approach), or it can be obtained by modelling (e.g. Stork et al, 2006). Furthermore the data term may also be replaced by modelling.…”

Section: Methodsmentioning

confidence: 99%

“…Alternatively, free-surface multiples on OBN data have been modelled using approaches that rely solely on earth model information (Stork et al, 2006) or that use recorded data in combination with earth model information (Xia et al, 2006). First, we discuss the properties of these modelling methods starting from a common mathematical representation.…”

Section: Introductionmentioning

confidence: 99%

OBN multiple attenuation using OBN and towed-streamer data: Deepwater Gulf of Mexico case study, Thunder Horse Field

Castelan

Kostov

Saragoussi

et al. 2016

SEG Technical Program Expanded Abstracts 2016

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We report case study results for attenuation of free-surface multiples from deep-water ocean bottom node (OBN) data using a data-driven multiple prediction method that combines OBN and towed-streamer data through multidimensional convolution, similar to the well-known surface-related multiple elimination (SRME) method. We illustrate the properties of the proposed multiple prediction method using synthetic and field data and note that availability of suitably acquired and processed streamer data is critical to the success of this approach. In our case study, we have data from five streamer surveys with offsets up to 10 km and broad range of azimuths. Correspondingly, the results of data-driven multiple attenuation are good for the OBN data with offsets up to about the maximum offset of the streamer data. We also compute a model-based prediction of the free-surface multiples using the anisotropic velocity model and prior depth images available for this field. The data-driven and the model-based approaches of predicting free-surface multiples have complementary properties. We combine models computed with both approaches to attenuate free-surface multiples in the OBN upgoing and downgoing data, as needed for subsalt imaging.

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“…Another multiple suppression method based on modeling is the wave-equation modeling method based on the so-called one-way wave equation where multiples are modeled using a synthetic model of background velocities and reflectors (Stork et al, 2006).…”

Section: Ghosts and Multiplesmentioning

confidence: 99%