Acoustic crosswell imaging using asymptotic waveforms

Geophysics ◽  
2000 ◽  
Vol 65 (5) ◽  
pp. 1569-1582 ◽  
Author(s):  
Henk Keers ◽  
Lane R. Johnson ◽  
Don W. Vasco

Seismic waveforms are inverted using an asymptotic method. The asymptotic method models amplitudes correctly at the caustics and takes nonstationary raypaths into account when computing the waveforms, and thus is an extension of geometrical ray theory. Using numerical differencing, partial derivatives of the data with respect to the model are computed. As expected, these partial derivatives (or sensitivity functions) are concentrated along, but not confined to, raypaths. The sensitivity functions enable the formulation of a waveform inversion algorithm, which is applied to a synthetic crosswell experiment and a laboratory crosswell experiment. The synthetic experiment shows the advantages of the waveform inversion method over conventional traveltime inversion methods. Boundaries of anomalies are better defined, and smearing is reduced. The waveform inversion produces a much lower misfit than the traveltime inversion. The goal of the laboratory experiment was the detection of a nonaqueous phase liquid (NAPL) in water saturated sand. The sand was imaged before and after injection of the NAPL. Using the waveform inversion method, low‐velocity anomalies were imaged that correlate well with post‐experiment determination of NAPL concentrations. The low‐velocity anomaly defocuses the seismic energy. However, the amplitude reduction due to the low‐velocity anomaly is not enough to explain the observed low amplitudes. We suggest that other mechanisms (such as multiple scattering, 3-D effects, or intrinsic attenuation) not included in the asymptotic waveform modeling play an important role in decreasing the amplitude.

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 260
Author(s):  
Meng Suo ◽  
Dong Zhang ◽  
Yan Yang

Inspired by the large number of applications for symmetric nonlinear equations, an improved full waveform inversion algorithm is proposed in this paper in order to quantitatively measure the bone density and realize the early diagnosis of osteoporosis. The isotropic elastic wave equation is used to simulate ultrasonic propagation between bone and soft tissue, and the Gauss–Newton algorithm based on symmetric nonlinear equations is applied to solve the optimal solution in the inversion. In addition, the authors use several strategies including the frequency-grid multiscale method, the envelope inversion and the new joint velocity–density inversion to improve the result of conventional full-waveform inversion method. The effects of various inversion settings are also tested to find a balanced way of keeping good accuracy and high computational efficiency. Numerical inversion experiments showed that the improved full waveform inversion (FWI) method proposed in this paper shows superior inversion results as it can detect small velocity–density changes in bones, and the relative error of the numerical model is within 10%. This method can also avoid interference from small amounts of noise and satisfy the high precision requirements for quantitative ultrasound measurements of bone.


2021 ◽  
Author(s):  
Zeinab Jeddi ◽  
Lars Ottemöller ◽  
Mathilde Sørensen ◽  
Sara Rezaei ◽  
Steven Gibbons ◽  
...  

The mid-ocean ridge system is the main source of earthquakes within the Arctic region. The earthquakes are recorded on the permanent land-based stations in the region, although smaller earthquakes remain undetected. In this study, we make use of three Ocean Bottom Seismographs (OBSs) that were deployed offshore western Svalbard, along the spreading ridges. The OBS arrival times were used to relocate the regional seismicity using a Bayesian approach, which resulted in a significant improvement with tighter clustering around the spreading ridge. We also extended the regional magnitude scales for the northern Atlantic region for OBSs by computing site correction terms. Besides location and magnitude improvement, the OBS network was able to detect hundreds of earthquakes, mostly with magnitude below Mw=3, including a swarm activity at the Molloy Deep. Our offshore observations provide further evidence of a low velocity anomaly offshore Svalbard, at the northern tip of Knipovich ridge, that was previously seen in full waveform inversion. We conclude that even a single permanent OBS near the ridge would make a significant difference to earthquake catalogs and their interpretation.


Author(s):  
Zeinab Jeddi ◽  
Lars Ottemöller ◽  
Mathilde B. Sørensen ◽  
Sara Rezaei ◽  
Steven J. Gibbons ◽  
...  

Abstract The mid-ocean ridge system is the main source of earthquakes within the Arctic region. The earthquakes are recorded on the permanent land-based stations in the region, although, smaller earthquakes remain undetected. In this study, we make use of three Ocean Bottom Seismographs (OBSs) that were deployed offshore western Svalbard, along the spreading ridges. The OBS arrival times were used to relocate the regional seismicity, using a Bayesian approach, which resulted in a significant improvement with tighter clustering around the spreading ridge. We also extended the regional magnitude scales for the northern Atlantic region for OBSs, by computing site correction terms. Besides location and magnitude improvement, the OBS network was able to detect hundreds of earthquakes, mostly with magnitude below Mw 3, including a swarm activity at the Molloy Deep. Our offshore observations provide further evidence of a low-velocity anomaly offshore Svalbard, at the northern tip of Knipovich ridge that was previously seen in full-waveform inversion. We conclude that even a single permanent OBS near the ridge would make a significant difference to earthquake catalogs and their interpretation.


Geophysics ◽  
1990 ◽  
Vol 55 (4) ◽  
pp. 458-469 ◽  
Author(s):  
D. Cao ◽  
W. B. Beydoun ◽  
S. C. Singh ◽  
A. Tarantola

Full‐waveform inversion of seismic reflection data is highly nonlinear because of the irregular form of the function measuring the misfit between the observed and the synthetic data. Since the nonlinearity results mainly from the parameters describing seismic velocities, an alternative to the full nonlinear inversion is to have an inversion method which remains nonlinear with respect to velocities but linear with respect to impedance contrasts. The traditional approach is to decouple the nonlinear and linear parts by first estimating the background velocity from traveltimes, using either traveltime inversion or velocity analysis, and then estimating impedance contrasts from waveforms, using either waveform inversion or conventional migration. A more sophisticated strategy is to obtain both the subsurface background velocities and impedance contrasts simultaneously by using a single least‐squares norm waveform‐fit criterion. The background velocity that adequately represents the gross features of the medium is parameterized using a sparse grid, whereas the impedance contrasts use a dense grid. For each updated velocity model, the impedance contrasts are computed using a linearized inversion algorithm. For a 1-D velocity background, it is very efficient to perform inversion in the f-k domain by using the WKBJ and Born approximations. The method performs well both with synthetic and field data.


Geophysics ◽  
2018 ◽  
Vol 83 (5) ◽  
pp. R369-R387 ◽  
Author(s):  
Guanghui Huang ◽  
Rami Nammour ◽  
William W. Symes

Full-waveform inversion (FWI) faces the persistent challenge of cycle skipping, which can result in stagnation of the iterative methods at uninformative models with poor data fit. Extended reformulations of FWI avoid cycle skipping through adding auxiliary parameters to the model so that a good data fit can be maintained throughout the inversion process. The volume-based matched source waveform inversion algorithm introduces source parameters by relaxing the location constraint of source energy: It is permitted to spread in space, while being strictly localized at time [Formula: see text]. The extent of source energy spread is penalized by weighting the source energy with distance from the survey source location. For transmission data geometry (crosswell, diving wave, etc.) and transparent (nonreflecting) acoustic models, this penalty function is stable with respect to the data-frequency content, unlike the standard FWI objective. We conjecture that the penalty function is actually convex over much larger region in model space than is the FWI objective. Several synthetic examples support this conjecture and suggest that the theoretical limitation to pure transmission is not necessary: The inversion method can converge to a solution of the inverse problem in the absence of low-frequency data from an inaccurate initial velocity model even when reflections and refractions are present in the data along with transmitted energy.


Geophysics ◽  
2020 ◽  
pp. 1-122
Author(s):  
Nishant Kamath ◽  
Romain Brossier ◽  
Ludovic Métivier ◽  
Arnaud Pladys ◽  
Pengliang Yang

Full waveform inversion (FWI) applications on 3D ocean bottom cable (OBC) data fromthe Valhall oil field in the North Sea have demonstrated the importance of appropriately ac-counting for attenuation. The Valhall field contains unconsolidated shallow sediments anda low velocity anomaly in its center - indicative of gas clouds - which have a significantattenuation imprint on the data. The challenge in which we are interested is to performtime-domain visco-acoustic 3D FWI, which requires more sophisticated tools than in thefrequency domain wherein attenuation can be incorporated in a straightforward manner.The benefit of employing a visco-acoustic, instead of a purely acoustic, modeling engineis illustrated. We show that, in the frequency band employed (2.5 - 7.0 Hz), it is betterto reconstruct velocity only keeping attenuation fixed, because simultaneous inversion ofvelocity and quality factor Q does not provide reliable Q-updates. We design an efficienttime-domain workflow combining a random source decimation algorithm, modeling usingstandard linear solid mechanisms, and wavefield preconditioning. Our results are similarto those obtained from state-of-the-art frequency-domain algorithms, at a lower computa-tional cost compared to conventional checkpointing techniques. We clearly illustrate theimprovement in terms of imaging and data fit achieved when accounting for attenuation.


Geophysics ◽  
2017 ◽  
Vol 82 (4) ◽  
pp. R235-R244 ◽  
Author(s):  
Zhiyang Liu ◽  
Jie Zhang

The first-arrival traveltimes without large offsets constrain very shallow velocities, the waveform envelope presents low-frequency data, and the high-frequency waveform itself includes information regarding structural details. We have developed a joint traveltime, waveform, and waveform envelope (JTWE) inversion method for inverting near-surface velocity structures. By inverting three types of data, we are able to recover the low- and high-wavenumber structures and mitigate the cycle-skipping problem in waveform inversion. The calculation of traveltimes and raypaths is fast. Most of the computation effort is focused on dealing with the waveform and waveform envelope. JTWE backward propagates the waveform residual and envelope residual simultaneously to calculate the model updating gradients. This simultaneous backward-propagation strategy ensures that the computational cost of JTWE is similar to the cost of inverting waveform alone. In a synthetic experiment, we determine that JTWE mitigates the cycle-skipping problem and recovers the near-surface structures without the need for additional low-frequency data. The final results of JTWE indicate that it delivers improved results with low-velocity inclusions compared with full-waveform inversion. For field data from the Middle East, JTWE helps resolve a complex near-surface model with rugged topography and fit all three types of data.


2021 ◽  
Vol 225 (2) ◽  
pp. 1020-1031
Author(s):  
Huachen Yang ◽  
Jianzhong Zhang ◽  
Kai Ren ◽  
Changbo Wang

SUMMARY A non-iterative first-arrival traveltime inversion method (NFTI) is proposed for building smooth velocity models using seismic diving waves observed on irregular surface. The new ray and traveltime equations of diving waves propagating in smooth media with undulant observation surface are deduced. According to the proposed ray and traveltime equations, an analytical formula for determining the location of the diving-wave turning points is then derived. Taking the influence of rough topography on first-arrival traveltimes into account, the new equations for calculating the velocities at turning points are established. Based on these equations, a method is proposed to construct subsurface velocity models from the observation surface downward to the bottom using the first-arrival traveltimes in common offset gathers. Tests on smooth velocity models with rugged topography verify the validity of the established equations, and the superiority of the proposed NFTI. The limitation of the proposed method is shown by an abruptly-varying velocity model example. Finally, the NFTI is applied to solve the static correction problem of the field seismic data acquired in a mountain area in the western China. The results confirm the effectivity of the proposed NFTI.


Geophysics ◽  
2013 ◽  
Vol 78 (6) ◽  
pp. R249-R257 ◽  
Author(s):  
Maokun Li ◽  
James Rickett ◽  
Aria Abubakar

We found a data calibration scheme for frequency-domain full-waveform inversion (FWI). The scheme is based on the variable projection technique. With this scheme, the FWI algorithm can incorporate the data calibration procedure into the inversion process without introducing additional unknown parameters. The calibration variable for each frequency is computed using a minimum norm solution between the measured and simulated data. This process is directly included in the data misfit cost function. Therefore, the inversion algorithm becomes source independent. Moreover, because all the data points are considered in the calibration process, this scheme increases the robustness of the algorithm. Numerical tests determined that the FWI algorithm can reconstruct velocity distributions accurately without the source waveform information.


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