Microseismic Full Waveform Modeling in Anisotropic Media with Moment Tensor Implementation

Shi, Peidong; Angus, D.A.; Nowacki, Andy; Yuan, Sanyi; Wang, Yanyan

doi:10.1007/s10712-018-9466-2

Cited by 26 publications

(17 citation statements)

References 98 publications

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“…Therefore, to obtain a reliable microseismic focal mechanism solution, it is necessary to use the numerical methods for forward modeling. Shi et al (2018) developed a microseismic waveform calculation algorithm for the anisotropic media and the MT source model based on the finite difference method and analyzed the influence of anisotropy on microseismic data processing in surface and downhole monitoring cases.…”

Section: Numerical Forward Modeling Methodsmentioning

confidence: 99%

“…The microseismic waveform forward modeling study can not only provide theoretical and data support for focal mechanism inversion, but also help to understand the elastic wave propagation characteristics in complex media, providing a theoretical basis for the reverse time migration and source imaging analysis in seismic reflection studies (Baysal et al, 1983;Virieux and Operto, 2009). In addition, accurate and efficient waveform forward modeling can significantly reduce inversion uncertainty and improve solution reliability (Shi et al, 2018). Current forward modeling methods for microseismic data are mostly based on the natural seismology and seismic exploration research.…”

Section: Forward Modeling: Calculation Of Synthetic Waveformsmentioning

confidence: 99%

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A review of the microseismic focal mechanism research

Chang

2020

Sci. China Earth Sci.

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Reservoir reconstructions implemented in unconventional oil and gas exploration usually adopt hydraulic fracturing techniques to inject high-pressure fluid into the reservoir and change its pore-fracture connection structure to enhance production. Hydraulic fracturing changes the reservoir stress and causes the rocks to crack, thus generating microseismic events. One important component of microseismic research is the source mechanism inversion. Through the research on the microseismic focal mechanism, information on the source mechanisms and in-situ stress status variations can be quantitatively revealed to effectively optimize the reservoir reconstruction design for increasing production. This paper reviews the recent progress in hydraulic fracturing induced microseismic focal mechanism research. We summarize their main principles and provide a detailed introduction of the research advances in source modeling, microseismic data synthesis, and focal mechanism inversion. We also discuss the challenges and limitations in the current microseismic focal mechanism research and propose prospects for future research ideas and directions.

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Section: Numerical Forward Modeling Methodsmentioning

confidence: 99%

Section: Forward Modeling: Calculation Of Synthetic Waveformsmentioning

confidence: 99%

A review of the microseismic focal mechanism research

Chang

2020

Sci. China Earth Sci.

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“…In tomographic studies, moment tensors are used to simulate seismic waveforms and study their distortions while travelling through the underground. These distortions provide direct evidence for structural details (e. g. Toyokuni and Takenaka, 2006;Nissen-Meyer et al, 2014;Shi et al, 2018).…”

Section: Introductionmentioning

confidence: 94%

Rotational Ground Motion Measurements for Regional Seismic Moment Tensors: a Review

Donner¹

2021

Preprint

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Seismic moment tensors are an important tool in geosciences on all spatial scales and for a broad range of applications. The basic underlying theory is established since decades. However, various factors influence the reliability of the inversion result, several of them are mutually dependent. Hence, a reliable retrieval of seismic moment tensors is still hampered in many cases, especially at regional event-receiver distances.To sample the entire wavefield due to a seismic source we need six components: three translational and three rotational ones. Up to now, only translational ground motion recordings were used for moment tensor retrieval, missing out valuable information. Using rotational in addition to the classical translational ground motions during waveform inversion for moment tensors mainly adds information on the vertical displacement gradient to the inversion problem. Furthermore, having available six instead of only three components per receiver location provides additional constraints on the sampling of the radiation pattern. As a result, the moment tensor components are resolved with higher precision and accuracy, even when the number of recording receivers is considerably reduced. Especially, components with a dependence to depth as well as the centroid depth can benefit significantly from additional rotational ground motion. Up to the time of writing this review only a few studies are published on the topic. Here, I summarise their findings and provide an overview over the possible capabilities of including rotational ground motion measurements to waveform inversion for seismic moment tensor retrieval.

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“…Due to the 3-D sensor network and the anisotropic velocity model, the ray paths from the source to the sensors are dramatically complicated. Oversimplified velocity models affect the accuracy of moment tensor inversion in varying degrees [29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Cooperative P-Wave Velocity Measurement with Full Waveform Moment Tensor Inversion in Transversely Anisotropic Media

Zhao

et al. 2022

Sensors

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Precise stochastic approaches to quantitatively calculate the source uncertainties offers the opportunity to eliminate the influence of anisotropy on moment tensor inversion. The effects of ignoring anisotropy were tested by using homogeneous Green’s functions. Results indicate the influence of anisotropy and noise on fault plane rotation is very small for a pure shear source whether it is restricted to double couple solution or full moment tensor solution. Green’s functions with different prior rough anisotropy information were tested, indicating that the complex source is more sensitive to velocity models than the pure shear source and the fault plane rotation caused by full moment tensor solution is larger than the pure double couple solution. Collaborative P-wave velocity inversion with active measurements and passive acoustic emission data using the fast-marching method were conducted, and new Green’s functions established based on the tomography results. The resolved fault plane solution rotated only 3.5° when using the new Green’s functions, but the presence of spurious isotropic and compensated linear vector dipole components was not completely eliminated. It is concluded that the cooperative inversion is capable of greatly improving the accuracy of the fault plane solutions and reducing the spurious components in the full moment tensor solution.

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Microseismic Full Waveform Modeling in Anisotropic Media with Moment Tensor Implementation

Abstract: Seismic anisotropy is common in the subsurface, especially in shale and fractured rocks. Seismic anisotropy will cause travel-time and amplitude discrepancy

Cited by 26 publications

References 98 publications

A review of the microseismic focal mechanism research

A review of the microseismic focal mechanism research

Rotational Ground Motion Measurements for Regional Seismic Moment Tensors: a Review

Cooperative P-Wave Velocity Measurement with Full Waveform Moment Tensor Inversion in Transversely Anisotropic Media

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