High-resolution velocity modeling by seismic-airborne TEM joint inversion: A new perspective for near-surface characterization

2016 ◽  
Vol 35 (11) ◽  
pp. 977-985 ◽  
Author(s):  
Daniele Colombo ◽  
Gary McNeice ◽  
Diego Rovetta ◽  
Ernesto Sandoval-Curiel ◽  
Ersan Turkoglu ◽  
...  
Keyword(s):  
High Resolution ◽  
Surface Characterization ◽  
Joint Inversion ◽  
Near Surface ◽  
Velocity Modeling ◽  
New Perspective

Near-surface full-waveform inversion in a transmission surface-consistent scheme

Geophysics ◽  
2020 ◽  
pp. 1-57
Author(s):  
Daniele Colombo ◽  
Ernesto Sandoval ◽  
Diego Rovetta ◽  
Apostolos Kontakis
Keyword(s):  
High Resolution ◽  
Seismic Data ◽  
Waveform Inversion ◽  
Surface Velocity ◽  
Full Waveform Inversion ◽  
Velocity Mapping ◽  
Signal To Noise ◽  
Near Surface ◽  
Velocity Modeling ◽  
Full Waveform

Land seismic velocity modeling is a difficult task largely related to the description of the near surface complexities. Full waveform inversion is the method of choice for achieving high-resolution velocity mapping but its application to land seismic data faces difficulties related to complex physics, unknown and spatially varying source signatures, and low signal-to-noise ratio in the data. Large parameter variations occur in the near surface at various scales causing severe kinematic and dynamic distortions of the recorded wavefield. Some of the parameters can be incorporated in the inversion model while others, due to sub-resolution dimensions or unmodeled physics, need to be corrected through data preconditioning; a topic not well described for land data full waveform inversion applications. We have developed novel algorithms and workflows for surface-consistent data preconditioning utilizing the transmitted portion of the wavefield, signal-to-noise enhancement by generation of CMP-based virtual super shot gathers, and robust 1.5D Laplace-Fourier full waveform inversion. Our surface-consistent scheme solves residual kinematic corrections and amplitude anomalies via scalar compensation or deconvolution of the near surface response. Signal-to-noise enhancement is obtained through the statistical evaluation of volumetric prestack responses at the CMP position, or virtual super (shot) gathers. These are inverted via a novel 1.5D acoustic Laplace-Fourier full waveform inversion scheme using the Helmholtz wave equation and Hankel domain forward modeling. Inversion is performed with nonlinear conjugate gradients. The method is applied to a complex structure-controlled wadi area exhibiting faults, dissolution, collapse, and subsidence where the high resolution FWI velocity modeling helps clarifying the geological interpretation. The developed algorithms and automated workflows provide an effective solution for massive full waveform inversion of land seismic data that can be embedded in typical near surface velocity analysis procedures.

Seismic SH Full Waveform Inversion: A tool for high-resolution near-surface characterization

2021 ◽  
Author(s):  
D. Köhn ◽  
M. Zolchow ◽  
R. Mecking ◽  
D. Wilken ◽  
T. Wunderlich ◽  
...  
Keyword(s):  
High Resolution ◽  
Surface Characterization ◽  
Waveform Inversion ◽  
Full Waveform Inversion ◽  
Near Surface ◽  
Full Waveform

Near-surface characterization using traveltime and full-waveform inversion with vertical and horizontal component seismic data

2019 ◽  
Vol 7 (1) ◽  
pp. T141-T154 ◽  
Author(s):  
Md. Iftekhar Alam
Keyword(s):  
Surface Characterization ◽  
Seismic Waves ◽  
Seismic Velocity ◽  
Waveform Inversion ◽  
Horizontal Component ◽  
Full Waveform Inversion ◽  
Near Surface ◽  
Velocity Modeling ◽  
Full Waveform ◽  
Attenuation Models

Seismic imaging of the shallow subsurface (approximately 5 m) can be very challenging when reflections are absent and the data are dominated by ground roll. I analyzed the transmission coda to produce fine-scale, interpretable vertical and horizontal component seismic velocity ([Formula: see text] and [Formula: see text]) models using full-waveform inversion (FWI). Application of FWI is tested through imaging two buried targets. The first target is a pair of well-documented utility pipes with known diameters (0.8 m) and burial depths (approximately 1.5 m). The second target is a poorly documented former location of the pipe(s), which is now a backfilled void. Data are acquired along a 23 m 2D profile using a static array with single-component vertical and horizontal geophones. Our results indicate considerable velocity updates in the [Formula: see text] and [Formula: see text] models across the pipes and backfill. The pipes appear as negative velocity updates in the final inverted [Formula: see text] and [Formula: see text] models, whereas the backfilled area represents negative and positive velocity updates in the [Formula: see text] and [Formula: see text] models, respectively. Variations of the polarities in the inverted models ([Formula: see text] and [Formula: see text]) across the backfill can be indicative of the medium, which respond differently to the vertical and horizontal component seismic waves. The attenuation models show a general decreasing trend with increasing depth. Therefore, simultaneous applications of vertical ([Formula: see text]) and horizontal ([Formula: see text]) component seismic velocity modeling can be an effective tool to understand the subsurface medium in near-surface characterization.

Seismic-airborne TEM joint inversion for near-surface velocity modeling in a complex wadi

2016 ◽  
Author(s):  
Daniele Colombo ◽  
Diego Rovetta ◽  
Ersan Turkoglu ◽  
Gary McNeice ◽  
Ernesto Sandoval Curiel ◽  
...  
Keyword(s):  
Joint Inversion ◽  
Surface Velocity ◽  
Near Surface ◽  
Velocity Modeling
Sign in / Sign up

Export Citation Format

Share Document