Reverse time migration with Gaussian beams and its application to a few synthetic data sets

Popov, M. M.; Semtchenok, N. M.; Попов, П. М.; Verdel, Arie

doi:10.1190/1.2792916

Cited by 13 publications

(3 citation statements)

References 8 publications

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“…GBM is especially suited for sparse data sets [ 21 ]. Both the acoustic and elastic wave equations can be solved with the GBM method [ 22 , 23 , 24 ]. Since TRI is also based on the wave equation solution, there have been prior efforts using GBM to solve the TRI problem.…”

Section: Related Workmentioning

confidence: 99%

“…Since TRI is also based on the wave equation solution, there have been prior efforts using GBM to solve the TRI problem. Popov has combined reverse-time migration with Gaussian beams to solve the problem and also introduce an improved imaging condition suitable for computation of velocity contrasts at reflectors in the framework of the true-amplitude concept [ 24 , 25 ]. A green function-based approach to combine the RTM and GBM was proposed in 2014 [ 23 ].…”

Section: Related Workmentioning

confidence: 99%

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Underground Microseismic Event Monitoring and Localization within Sensor Networks

Wang

Panning

Vance

et al. 2021

Sensors

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Locating underground microseismic events is important for monitoring subsurface activity and understanding the planetary subsurface evolution. Due to bandwidth limitations, especially in applications involving planetarily-distributed sensor networks, networks should be designed to perform the localization algorithm in-situ, so that only the source location information needs to be sent out, not the raw data. In this paper, we propose a decentralized Gaussian beam time-reverse imaging (GB-TRI) algorithm that can be incorporated to the distributed sensors to detect and locate underground microseismic events with reduced usage of computational resources and communication bandwidth of the network. After the in-situ distributed computation, the final real-time location result is generated and delivered. We used a real-time simulation platform to test the performance of the system. We also evaluated the stability and accuracy of our proposed GB-TRI localization algorithm using extensive experiments and tests.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Underground Microseismic Event Monitoring and Localization within Sensor Networks

Wang

Panning

Vance

et al. 2021

Sensors

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“…On the other hand, Popov et al (2007Popov et al ( , 2008Popov et al ( , 2010 provided the promising method similar to wave equation migration, which adopts frequency-domain Green's function to construct time domain direct and back-propagated wavefields and then applies crosscorrelation imaging condition. Unlike the traveltime-based GBM, the subsurface image point is determined by the maximum of coherency between the source and receiver wavefields, which is remarkably similar to reverse time migration (RTM).…”

Section: Introductionmentioning

confidence: 99%

Target-oriented Gaussian beam migration using a modified ray tracing scheme

et al. 2019

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For large-scale 3D seismic data, target-oriented reservoir imaging is more attractive than conventional full-volume migration, in terms of computation efficiency. Gaussian beam migration (GBM) is one of the most robust depth imaging method, which not only keeps the advantages of ray methods, such as high efficiency and flexibility, but also allows us to solve caustics and multipathing problems. But conventional Gaussian beam migration requires slant stack for prestack data, and ray tracing from beam center location to subsurface, which is not easy to be directly applied for target-oriented imaging. In this paper, we modify the conventional Gaussian beam migration scheme, by shooting rays from subsurface image points to receivers to implement wavefield back-propagation. This modification helps us to achieve a better subsurface illumination in complex structure and allows simple implementation for target reservoir imaging. Significantly, compared with the wavefield-based GBM, our method does not reconstruct the subsurface snapshots, which has higher efficiency. But the proposed method is not as efficient as the conventional Gaussian beam migration. Synthetic and field data examples demonstrate the validity and the target-oriented imaging capability of our method.

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