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Moment tensor inversion for nuclear explosions
2017Two nuclear explosions were carried out by the Democratic People’s Republic of North Korea in January and September 2016. Epicenters were located close to those of the 2006, 2009, and 2013 previous explosions. We perform a seismological analysis of the 2016 events combining the analysis of full waveforms at regional distances and seismic array beams at
Cesca, Simone (Dr.) +4 more
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Uncertainty in FPSs from moment-tensor inversion
Geophysics, 2011ABSTRACT Although microseismic monitoring of hydraulic fractures has primarily been concerned with the dimensions, complexity, and growth of fractures or fracture systems, there is an ever-increasing desire to extract more information about the hydraulic-fracturing and/or natural fractures from microseismic data.
Jing Du, Norm R. Warpinski
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Moment-Tensor Determination by Nonlinear Inversion of Amplitudes
Bulletin of the Seismological Society of America, 2011We propose an inversion method of the direct wave amplitudes P, SV, and SH to determine the general moment tensor (MT) and estimate the associated uncertainties. This method is a generalization of the one we developed to determine the double-couple (DC) or fault-plane solution from sparse observations in reservoir contexts (Godano et al., 2009).
Godano, M. +3 more
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Anisotropic Ray-waveform Moment Tensor Inversion
Proceedings, 2014A frequency-domain waveform inversion for microseismic sources in anisotropic media is described that combines the efficiency of ray theory with waveform fitting. The inversion returns estimates of the moment tensor and source function. A new moment tensor decomposition produces source parameters free from the distortions due to anisotropy at the ...
W.S. Leaney, C.H. Chapman
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Anisotropic moment tensor inversion, decomposition and visualization
SEG Technical Program Expanded Abstracts 2014, 2014We describe an inversion for the moment tensor valid for general anisotropic media, demonstrated using Green functions from a layered VTI ray tracer. The moment tensor is decomposed so as to remove the distortions due to anisotropy local to the source and a new 3D graphical representation is introduced for intuitive visualization. The workflow for real
Scott Leaney*, Chris Chapman, Xin Yu
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Source-Type-Specific Inversion of Moment Tensors
Bulletin of the Seismological Society of America, 2015The mapping of the fit of seismic moment tensor (MT) solutions in source-type space helps to characterize uncertainty and solution uniqueness. Current practice relies on the forward testing of a distribution of randomly generated MTs in source-type space, which is slow and does not necessarily recover the true maximum fit surface.
Avinash Nayak, Douglas S. Dreger
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The Interpretation of Moment Tensor Inversions
1981The moment tensor formalism provides a concise means of expressing the body force equivalents for a variety of simple point sources; consequently, it is ideally suited for use in the forward problem of generating synthetic seismograms for most sorts of natural and artificial sources.
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Towards microseismic moment tensor inversion in boreholes with DAS
2022<p>We present preliminary results on a moment tensor inversion workflow for Distributed Acoustic Sensing (DAS). It makes use of a fast-marching Eikonal solver and synthetically modeled data. The study specifically focuses on borehole settings for geothermal sites.
Katinka Tuinstra +6 more
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Multievent moment-tensor inversion for ill-conditioned geometries
GEOPHYSICS, 2016ABSTRACT Moment-tensor inversion under single monitoring well geometries becomes unstable due to the singularity of the inversion matrix. But microseismic events observed during hydraulic fracturing commonly show clusters of events with similar source mechanisms despite differences in the origin time and the magnitude.
Xin Yu +3 more
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Reliability tests of moment tensor inversion of anthropogenic seismicity
2021<p>Seismic moment tensor becomes part of basic seismic data processing. For anthropogenic events mostly common and available method to determine mechanism is amplitude inversion. However essential for correct amplitude inversion are good quality data.
Anna Tymińska, Grzegorz Lizurek
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