High-frequency acoustic land full-waveform inversion: a case study from the Sultanate of Oman

Sedova, A.; Royle, G.; Allemand, Thibaut; Lambaré, Gilles; Hermant, Olivier

doi:10.3997/1365-2397.n0010

Cited by 19 publications

(4 citation statements)

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“…BGP created an onshore controlled vibrator source, which can produce low frequencies as low as 1.5 Hz (Baeten et al 2013). Unfortunately, so far not many successful FWI examples on land seismic data have been reported due to some complex factors, including low SNR, surface waves, near-surface heterogeneity and elastic effects (Mei and Tong 2015;Cheng et al 2017;Sedova et al 2019).…”

Section: Introductionmentioning

confidence: 99%

A review on reflection-waveform inversion

Yao

Wang

2020

Pet. Sci.

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Full-waveform inversion (FWI) utilizes optimization methods to recover an optimal Earth model to best fit the observed seismic record in a sense of a predefined norm. Since FWI combines mathematic inversion and full-wave equations, it has been recognized as one of the key methods for seismic data imaging and Earth model building in the fields of global/regional and exploration seismology. Unfortunately, conventional FWI fixes background velocity mainly relying on refraction and turning waves that are commonly rich in large offsets. By contrast, reflections in the short offsets mainly contribute to the reconstruction of the high-resolution interfaces. Restricted by acquisition geometries, refractions and turning waves in the record usually have limited penetration depth, which may not reach oil/gas reservoirs. Thus, reflections in the record are the only source that carries the information of these reservoirs. Consequently, it is meaningful to develop reflection-waveform inversion (RWI) that utilizes reflections to recover background velocity including the deep part of the model. This review paper includes: analyzing the weaknesses of FWI when inverting reflections; overviewing the principles of RWI, including separation of the tomography and migration components, the objective functions, constraints; summarizing the current status of the technique of RWI; outlooking the future of RWI.

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Section: Introductionmentioning

confidence: 99%

A review on reflection-waveform inversion

Yao

Wang

2020

Pet. Sci.

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“…The limitation of 2D seismic acquisition and processing has been well understood by the seismic exploration industry where nowadays the densely sampled marine (also land where possible) surveys brought the tremendous increase of the standards in seismic imaging (Operto et al., 2023; Sedova et al., 2019). Introduction of nodal systems allowed for recording long offset wide azimuth multicomponent data that opened wide range of possibilities in terms of how they can be utilized during processing (Jack, 2021).…”

Section: Introductionmentioning

confidence: 99%

On the Effect of 3D Wave Propagation on 2D Regional‐Scale Velocity Model Building

Górszczyk,

Brossier,

Métivier

2024

JGR Solid Earth

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Active seismic surveys are routinely employed by academia to study geological structure of the crust and upper mantle. Wavefields generated during these surveys are sampled at the receiver locations, but the wave‐paths traveled from a source to a sensor remains unknown. Although seismic acquisition layouts designed to investigate complex crustal‐scale environments are often two‐dimensional, the seismogram recorded at the receiver location represents information gathered along the three‐dimensional wavepaths that might offset from the 2D source/receiver profile along its transverse direction. This so‐called 3D‐effect distorts the results of 2D seismic imaging, which is unable to handle the out‐of‐plane propagation. Despite the numerous 2D seismic imaging case studies, the assessment of this issue is often overlooked. However, the problem exists ‐ especially for crustal‐scale profiles, where seismic energy propagates over distances of hundreds of kilometers and probes different crustal units. In this work we investigate the impact of 3D‐effect on the results of 2D velocity model building from the academic ocean‐bottom seismometer data. We show with polarization analysis how the 3D‐effect can manifest itself in the data domain. Using various scenarios of acquisition we evaluate the imprint of the out‐of‐plane propagation on the data and the results of full‐waveform inversion. We show that 2D velocity model building from the seismic profiles acquired in the complex geological setting can lead to wrong solution. Looking for the remedy to this issue we couple different configurations of acquisition geometries with 3D full‐waveform inversion that allow to handle the 3D effect and provide correct model reconstruction.

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“…Complexities in wavefield modelling are related to the presence of topography, wavefield scattering, as well as to attenuation (often frequency‐dependent) and anisotropy. Such complexities make land seismic FWI a challenging task with a limited number of effective applications (Plessix et al., 2013; Sedova et al., 2019; Stopin et al., 2014; Tverdokhlebov et al., 2019). Some recent works have shown the possibility of effectively modelling the irregular topographic or bathymetric surface with acoustic and elastic wavefields using curvilinear grids (Shragge, 2014) or to deal with the topography problem by adopting an embedded boundary approach (AlSalem et al., 2018).…”

Section: Introductionmentioning

confidence: 99%

Ultra‐resolution surface‐consistent full waveform inversion

Colombo,

Sandoval‐Curiel,

Turkoglu

et al. 2023

Geophysical Prospecting

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Full waveform inversion for land seismic data requires the development of specific strategies for modelling the complex response associated to the near surface. Seismic wave propagation is distorted by several effects, such as topographic relief, wavefield scattering, attenuation (often frequency‐dependent) and anisotropy. The modelling of such shallow complexities is often unmanageable by parametric inversions such that data preconditioning and surface‐related corrections are required before tackling the full waveform inversion velocity modelling problem. We developed a unified framework addressing both surface‐consistent corrections and full waveform inversion by using the transmitted portion of the wavefield. The problem of surface‐consistent decomposition is recast in terms of the transmitted wavefield leading to kinematic and dynamic corrections to account for sub‐resolution wave propagation distortions occurring in the near surface weathering layer. Seismic data are deconvolved from the effects of the near surface to better represent the deeper subsurface wavefield propagation. Signal‐to‐noise enhancement is obtained after the surface‐consistent transmission preconditioning by the generation of virtual super gathers reconstructed in the midpoint‐offset sorting domain. An original scheme of 1.5D Laplace–Fourier full waveform inversion, involving 3D radiation and 1D velocity inversion, is then applied for the velocity reconstruction where the amplitude information of the seismic data is fully preserved and utilized. The unified approach of surface‐consistent transmission preconditioning and velocity modelling is demonstrated on the Society of Exploration Geophysicists Advanced Modelling arid model dataset as well as on two complex field datasets containing near surface complexities typical of arid regions. The approach provides the solution of the near surface distortions by performing data preconditioning and velocity inversions in a unified scheme. The surface‐consistent full waveform inversion approach has been utilized for large land seismic projects and represents a robust tool for supporting land seismic imaging.

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High-frequency acoustic land full-waveform inversion: a case study from the Sultanate of Oman

Cited by 19 publications

References 0 publications

A review on reflection-waveform inversion

A review on reflection-waveform inversion

On the Effect of 3D Wave Propagation on 2D Regional‐Scale Velocity Model Building

Ultra‐resolution surface‐consistent full waveform inversion

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