Leading a new deep water OBN acquisition era: Two 2017-2018 GoM OBN surveys

Li, Qingsong; Slopey, William; Rollins, Francis; Billette, Frédéric; Udengaard, C.; Thompson, B. J.

doi:10.1190/segam2019-3216437.1

Cited by 12 publications

(8 citation statements)

References 17 publications

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“…Parameter variations within such zones affect the kinematic and dynamic characteristic of the propagating wavefield. They also have the potential to generate distinct arrivals -so-called trapped waves (Li and Malin, 2008;Ben-Zion and Sammis, 2003). We implement such anomalies around the faults in the oceanic crust and upper mantle, the major faults at the edge of continental crust, and within the large thrusts sheets between inner and outer accretionary wedge.…”

Section: Index and Gradient Matrixmentioning

confidence: 99%

“…In contrast, the oil industry nowadays carries out 3D wide-azimuth streamer surveys with a swath of ∼ 1 km in width and streamers of up to 15 km in length arranged in a single or multi-vessel configuration. The long streamers and wide receiver swaths combined with shooting the lines in a race track mode would make the acquisition time of the crustal-scale surveys reasonable (Li et al, 2019) while at the same time increasing the penetration depth of the wavefield.…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, industry-oriented surveys are often designed with the aim to apply the entire seismic imaging workflow to the recorded dataset (namely velocity analysis and migration). For this purpose, large pools of receivers are required to fulfil sampling criteria for high-frequency migration (Li et al, 2019). This requirement can be relaxed when aiming at the velocity reconstruction only using frequencies lower than 15 Hz (Mei et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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GO_3D_OBS: the multi-parameter benchmark geomodel for seismic imaging method assessment and next-generation 3D survey design (version 1.0)

Górszczyk

Operto

2021

Geosci. Model Dev.

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Abstract. Detailed reconstruction of deep crustal targets by seismic methods remains a long-standing challenge. One key to address this challenge is the joint development of new seismic acquisition systems and leading-edge processing techniques. In marine environments, controlled-source seismic surveys at a regional scale are typically carried out with sparse arrays of ocean bottom seismometers (OBSs), which provide incomplete and down-sampled subsurface illumination. To assess and minimize the acquisition footprint in high-resolution imaging process such as full waveform inversion, realistic crustal-scale benchmark models are clearly required. The deficiency of such models prompts us to build one and release it freely to the geophysical community. Here, we introduce GO_3D_OBS – a 3D high-resolution geomodel representing a subduction zone, inspired by the geology of the Nankai Trough. The 175km×100km×30km model integrates complex geological structures with a viscoelastic isotropic parameterization. It is defined in the form of a uniform Cartesian grid containing ∼33.6e9 degrees of freedom for a grid interval of 25 m. The size of the model raises significant high-performance computing challenges to tackle large-scale forward propagation simulations and related inverse problems. We describe the workflow designed to implement all the model ingredients including 2D structural segments, their projection into the third dimension, stochastic components, and physical parameterization. Various wavefield simulations that we present clearly reflect in the seismograms the structural complexity of the model and the footprint of different physical approximations. This benchmark model is intended to help to optimize the design of next-generation 3D academic surveys – in particular, but not only, long-offset OBS experiments – to mitigate the acquisition footprint during high-resolution imaging of the deep crust.

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Section: Index and Gradient Matrixmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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GO_3D_OBS: the multi-parameter benchmark geomodel for seismic imaging method assessment and next-generation 3D survey design (version 1.0)

Górszczyk

Operto

2021

Geosci. Model Dev.

View full text Add to dashboard Cite

show abstract

“…In contrast, the oil industry nowadays carry out 3D wide-azimuth streamer surveys with swath of ∼1 km width and streamers of up to 15 km length arranged in single or multi-vessel configuration. The long streamers and wide receiver swathes combined with shooting the lines in a race track mode would make the acquisition time of the crustal-scale surveys reasonable (Li et al, 2019) at the same time increasing the penetration depth of the imaging.…”

mentioning

confidence: 99%

mentioning

confidence: 99%

GO_3D_OBS – The Nankai Trough-inspired benchmark geomodel for seismic imaging methods assessment and next generation 3D surveys design (version 1.0)

Górszczyk

Operto

2020

Preprint

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Abstract. Detailed reconstruction of deep crustal targets by seismic methods remains a long-standing challenge. One key to address this challenge is the joint development of new seismic acquisition systems and leading-edge processing techniques. In marine environments, controlled-source seismic surveys at regional scale are typically carried out with sparse arrays of ocean bottom seismometers (OBSs), which provide incomplete and down-sampled subsurface illumination. To assess and minimize the acquisition footprint in high-resolution imaging process such as full waveform inversion, realistic crustal-scale benchmark models are clearly required.The deficiency of such models prompts us to build one and release it freely to the geophysical community. Here we introduce GO_3D_OBS – a 3D high-resolution geomodel representing a subduction zone, inspired by the geology of the Nankai Trough. The 175 km x 100 km x 30 km model integrates complex geological structures with a visco-elastic isotropic parametrization. It is defined in form of a uniform Cartesian grid containing 33.6e9 degrees of freedom for a grid interval of 25 m. The size of the model raises significant high-performance computing challenges to tackle large-scale forward propagation simulations and related inverse problems. We describe the workflow designed to implement all the model ingredients including 2D structural segments, their projection into the third dimension, stochastic components and physical parametrisation. Various wavefield simulations we present clearly reflect in the seismograms the structural complexity of the model and the footprint of different physical approximations. This benchmark model shall help to optimize the design of next generation 3D academic surveys – in particular but not only long-offset OBS experiments – to mitigate the acquisition footprint during high-resolution imaging of the deep crust.

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Seismic Acquisition Essentials

Tylor‐Jones

Azevedo²

2022

A Practical Guide to Seismic Reservoir Characterization

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Leading a new deep water OBN acquisition era: Two 2017-2018 GoM OBN surveys

Cited by 12 publications

References 17 publications

GO_3D_OBS: the multi-parameter benchmark geomodel for seismic imaging method assessment and next-generation 3D survey design (version 1.0)

GO_3D_OBS: the multi-parameter benchmark geomodel for seismic imaging method assessment and next-generation 3D survey design (version 1.0)

GO_3D_OBS – The Nankai Trough-inspired benchmark geomodel for seismic imaging methods assessment and next generation 3D surveys design (version 1.0)

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