Increasing the efficiency of seismic data acquisition via compressive sensing

Mosher, Charles C.; Li, Chengbo; Morley, Larry; Ji, Yongchang; Janiszewski, Frank; Olson, Robert; Brewer, Joel

doi:10.1190/tle33040386.1

Cited by 65 publications

(12 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These variations introduce a degree of non‐uniformity into the data, which could be expected to aid in the reconstruction process (Mosher et al . ). The requirement to know the perturbed positions places a constraint not only on the accuracy of the sensors being used to measure those positions, but also on the update rate of those positions (since the time‐varying position of the source, while it emits the swept waveform, needs to be known).…”

Section: Perturbations and Tolerancesmentioning

confidence: 97%

Marine vibrators: the new phase of seismic exploration

Laws

Halliday

Hopperstad

et al. 2018

Geophysical Prospecting

View full text Add to dashboard Cite

Marine seismic vibrators are generally considered to be less intrusive than airguns from an environmental perspective. This is because they emit their energy spread out in time, rather than in a single, high‐intensity pulse. There are also significant geophysical benefits associated with marine vibrators, and they stem from the ability to specify in detail the output acoustic waveform. The phase can be specified independently at each frequency. Such detailed control cannot be achieved with conventional airgun sources, where the phase can only be modified using simple overall time delays. The vibrator phase can be employed in several different ways: it can be applied to the overall source phase in a sequence so that it varies from one source point to the next; it can be applied to the individual vibrators within the source array so the source directivity is changed; it can be applied to the overall source phase of each source in a simultaneous source acquisition. Carefully designed phase sequences can attenuate the residual source noise, and this in turn allows extra source points to be interleaved between the conventional ones. For these extra source points, the relative phase of the vibrators within the array can be chosen to create a transverse gradient source, which illuminates the earth predominantly in directions out of the plane of the sail line without left/right ambiguity. If seismic vibrator data are acquired using interleaved conventional and transverse gradient sweeps, more information is collected per kilometre of vessel travel than is the case in conventional acquisition. This richer data acquisition leads to the possibility of acquiring all the necessary seismic data in a shorter time. Three‐dimensional reconstruction techniques are used to recover the same image quality that would have been obtained using the conventional, more time‐consuming acquisition. For a marine vibrator to be suitable for these techniques it must, in general terms, have ‘high fidelity’. The precise device specifications are defined through realistic end‐to‐end simulations of the physical systems and the processing. The specifications are somewhat more onerous than for a conventional vibrator, but they are achievable. A prototype vibrator that satisfies these requirements has been built. In a simulated case study of a three‐dimensional deep‐water ocean bottom node survey, the seismic data could have been acquired using marine vibrators in one third of the time that it would have taken using airguns.

show abstract

Section: Perturbations and Tolerancesmentioning

confidence: 97%

Marine vibrators: the new phase of seismic exploration

Laws

Halliday

Hopperstad

et al. 2018

Geophysical Prospecting

View full text Add to dashboard Cite

show abstract

“…© 20 Society of Exploration Geophysicists 21 lar grids (Hennenfent and Herrmann, 2010;Vassallo et al, 2010;Ozbek et al, 2010;Mosher et al, 2014;Kumar et al, 2020) could however be used in a pre-processing step to provide a satisfactory sampling for both streamer and OBC acquisition systems. Data regularization, however, further increases the size of the kernel operator and, as a consequence, the memory requirements to perform multi-dimensional convolution in a distributed fashion.…”

Section: Geophysical Aspects Of Mdc-based Inversion Workflowsmentioning

confidence: 99%

An open-source framework for the implementation of large-scale integral operators with flexible, modern high-performance computing solutions: Enabling 3D Marchenko imaging by least-squares inversion

Ravasi

Vasconcelos

2021

GEOPHYSICS

View full text Add to dashboard Cite

Numerical integral operators of convolution type form the basis of most wave-equation-based methods for processing and imaging of seismic data. As several of these methods require the solution of an inverse problem, multiple forward and adjoint passes of the modeling operator are generally required to converge to a satisfactory solution. This work highlights the memory requirements and computational challenges that arise when implementing such operators on 3D seismic datasets and their usage for solving large systems of integral equations. A Python framework is presented that leverages libraries for distributed storage and computing, and provides a high-level symbolic representation of linear operators. A driving goal for our work is not only to offer a widely deployable, ready-to-use high-performance computing (HPC) framework, but to demonstrate that it enables addressing research questions that are otherwise difficult to tackle. To this end, the first example of 3D full-wavefield target-oriented imaging, which comprises of two subsequent steps of seismic redatuming, is presented. The redatumed fields are estimated by means of gradient-based inversion using the full dataset as well as spatially decimated versions of the dataset as a way to investi-gate the robustness of both inverse problems to spatial aliasing in the input dataset. Our numerical example shows that when one spatial direction is finely sampled, satisfactory redatuming and imaging can be accomplished also when the sampling in other direction is coarser than a quarter of the dominant wavelength. While aliasing introduces noise in the redatumed fields, they are less sensitive to well-known spurious artefacts compared to cheaper, adjoint-based redatuming techniques. These observations are shown to hold for a relatively simple geologic structure, and while further testing is needed for more complex scenarios, we expect them to be generally valid while possibly breaking down for extreme cases

show abstract

“…This method introduces non‐uniform and under‐sampling acquisition followed by regularization and interpolation processing (Herrmann ; Mosher et al . ). The benefit is that a signal can be recovered from far fewer samples than required by the Shannon–Nyquist sampling theorem.…”

Section: Introductionmentioning

confidence: 97%

“…Another concept in this methodology, in particular at the receiver side, is spatial sampling based on compressive sensing (Baraniuk 2007). This method introduces non-uniform and under-sampling acquisition followed by regularization and interpolation processing (Herrmann 2010;Mosher et al 2014). The benefit is that a signal can be recovered from far fewer samples than required by the Shannon-Nyquist sampling theorem.…”

Section: Introductionmentioning

confidence: 99%

Research note: deblended‐data reconstruction using generalized blending and deblending models

Ishiyama

Ali

Ishikawa

et al. 2019

Geophysical Prospecting

View full text Add to dashboard Cite

We introduce a concept of generalized blending and deblending, develop its models and accordingly establish a method of deblended‐data reconstruction using these models. The generalized models can handle real situations by including random encoding into the generalized operators both in the space and time domain, and both at the source and receiver side. We consider an iterative optimization scheme using a closed‐loop approach with the generalized blending and deblending models, in which the former works for the forward modelling and the latter for the inverse modelling in the closed loop. We applied our method to existing real data acquired in Abu Dhabi. The results show that our method succeeded to fully reconstruct deblended data even from the fully generalized, thus quite complicated blended data. We discuss the complexity of blending properties on the deblending performance. In addition, we discuss the applicability to time‐lapse seismic monitoring as it ensures high repeatability of the surveys. Conclusively, we should acquire blended data and reconstruct deblended data without serious problems but with the benefit of blended acquisition.

show abstract

Increasing the efficiency of seismic data acquisition via compressive sensing

Cited by 65 publications

References 7 publications

Marine vibrators: the new phase of seismic exploration

Marine vibrators: the new phase of seismic exploration

An open-source framework for the implementation of large-scale integral operators with flexible, modern high-performance computing solutions: Enabling 3D Marchenko imaging by least-squares inversion

Research note: deblended‐data reconstruction using generalized blending and deblending models

Contact Info

Product

Resources

About