Fully automated near-surface analysis by surface-consistent refraction method

Colombo, Daniele; Miorelli, Federico; Sandoval, Ernesto; Erickson, Kevin

doi:10.1190/geo2016-0018.1

Cited by 25 publications

(6 citation statements)

References 16 publications

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“…Because our proposed methods solely use the simple piece-wise linear regression for estimating the approximation relation between first arrivals time and offset, the proposed methods might have limitations for the more complex geological area having anisotropic and heterogeneous velocity. In such fields, common midpoint-offset-azimuth bins based on statistical analysis (Colombo et al, 2016) are an alternative to remove the outliers.…”

Section: Discussionmentioning

confidence: 99%

Automated picking of seismic first arrivals using single- to multi-domain self-trained network

Ozawa¹

2022

Preprint

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Section: Discussionmentioning

confidence: 99%

Automated picking of seismic first arrivals using single- to multi-domain self-trained network

Ozawa¹

2022

Preprint

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“…The preconditioning is used to enhance the seismic data in an amplitude‐friendly manner without applying any harsh process leading to the distortion of the dynamic component of the recorded wavefield. The surface‐consistent preconditioned data can then be used as input for 3D FWI, as well as for benefitting successive time processing steps (Colombo et al., 2016). The 1.5D LF‐FWI development serves the scope of providing a fast and robust FWI product for analysing the near surface.…”

Section: Methodsmentioning

confidence: 99%

“…The description of the surface-consistent decomposition for the transmitted wavefield (e.g. refracted arrivals) can be found in recent publications, such as Colombo et al (2016Colombo et al ( , 2020. The approach relies on the fact that a CMP representation of transmitted waves becomes possible when the sorting domain is considering spatial and offset binning at the same time.…”

Section: Transmission Surface-consistent Decompositionmentioning

confidence: 99%

“…Each trace receives a correction in phase, amplitude or frequency‐dependent amplitude, consistent with the source/receiver surface position. The surface‐consistent preconditioned dataset is suited for the continuation of the processing involving reflected phases (Colombo et al., 2016).…”

Section: Society Of Exploration Geophysicists Advanced Modelling Arid...mentioning

confidence: 99%

“…The transmission-based surface-consistent analysis workflow (Colombo et al, 2016(Colombo et al, , 2020 is applied to a decimated configuration of the original SEAM data where the acquisition geometry used for the test consists of a carpet acquisition setup with 12.5 m receiver spacing, 50 m shot spacing, both on a regular grid, and 2000 m maximum source-receiver offset. The XYO binning utilized for the test consists of 50 m XY spatial binning as well as 50 m offset bins.…”

Section: Travel Time Analysismentioning

confidence: 99%

See 2 more Smart Citations

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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Coupling strategies in multiparameter geophysical joint inversion

Colombo

Rovetta

2018

Geophysical Journal International

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SUMMARY A big potential lies in the quantitative integration of multiple geophysical measurements for what concerns more unique and robust inversion results, complementary sensitivity to geological features and enhanced resolution. The mechanisms that enable such integration typically rely on statistics where the multiphysics parameter values are related to each other through regression functions (rock physics) or through the shape of the parameter spatial distributions (structure). Such coupling operators are jointly minimized with the data misfit to obtain coupled parameter distributions. We explore the application of various coupling mechanisms to synthetic and real data comprising seismic and electromagnetic measurements acquired in complex geological conditions such as salt geology and complex near surface in desert environment. Two types of structure operators, consisting of the standard cross-gradient and a newly introduced summative gradient, together with rock-physics operators are tested and combined for velocity model reconstruction of salt overburden in a marine environment and in a complex near surface case. Results of seismic-EM joint minimization suggest that the summative gradient operator with the introduction of the sign of the gradient correlation provides a strong coupling mechanism that can become advantageous in the presence of noise-affected seismic data. The rock-physics coupling mechanism is extremely strong and its effectiveness depends primarily on the reliability of the rock-physics relation. A Bayesian approach for the rock-physics operator is introduced to balance the related uncertainties and it is successfully tested in a joint minimization scheme. The combined use of rock-physics and structure coupling operators provides the best results in synthetic and real data applications. The use and combination of various regularization operators, as described, provide a formidable toolbox for solving a wide variety of ill-posed and non-unique geophysical inverse problems.

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Fully automated near-surface analysis by surface-consistent refraction method

Cited by 25 publications

References 16 publications

Automated picking of seismic first arrivals using single- to multi-domain self-trained network

Automated picking of seismic first arrivals using single- to multi-domain self-trained network

Ultra‐resolution surface‐consistent full waveform inversion

Coupling strategies in multiparameter geophysical joint inversion

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