... It is very challenging to accurately invert for moment tensors of microseismic events recorded using a single-borehole geophone array. Full-waveform moment-tensor inversion uses the phase and amplitude of microseismic waveforms to invert for the moment tensor of a microseismic event...

... Model error is endemic to full waveform inversion (FWI). Bayesian moment tensor inversion is an example of a linear inverse problem that can be heavily affected by errors in the velocity model. The choice of misfit function plays a crucial role in mitigating the effects of these errors. We...

... information velocity model inversion tensor inversion observed seismogram rupture seismogram Hydraulic fracturing stimulates the flow of gas or oil in a shale play by activating or creating microcracks in a target formation. The identifications of the location and the fracturing type...

... As development of machine learning technology, many researchers are trying to graft machine learning into seismic processing. However, it is hard to create the training dataset for machine learning (ML) model used in moment tensor inversion because it needs 3D numerical modeling considering...

... ABSTRACT Moment tensor inversion typically involves minimization of a misfit function between observed and model predicted waveforms. In both the deterministic and stochastic inversion frameworks, a widely used misfit function is the l distance. In this work we argue that l distances...

... needed for real data. Compared to traditional approaches for moment tensor inversion, neural networks offer many distinct advantages such as reduced computation time and natural assessment of uncertainties. In the future, neural network moment tensor inversion is attractive for real-time processing...

... Start Time: 8:30:00 AM Location: 210C (Anaheim Convention Center) Presentation Type: Oral non-shear component annual meeting principal stress seismological society plane moment-tensor solution focal mechanism reservoir characterization tensor inversion tensor orientation microseismic...

... models. This study develops a Bayesian method to perform waveform-based full moment tensor inversion and uncertainty quantification for the induced seismic events. We conduct tests with synthetic events to validate the method, and then apply our Bayesian inversion approach to real induced seismicity...

... ABSTRACT We proposed a novel microseismic mechanism moment tensor inversion algorithm based on elastic wave equation and the wave superposition principle by using the amplitude variation. The proposed approach is different from moment tensor inversion based on the Green’s function which...

... moment tensor inversion, and helping reduce its ambiguity. Our paper examines one possibility of this kind: the assumption of a tensile fracture, rupturing the focal region along a plane of its greatest weakness. Mathematical formulation of inversion of single-well microseismic records...

...-based Bayesian full moment tensor inversion method to do the source relocation, full moment tensor inversion and uncertainty quantification for the induced seismic events. We conducted synthetic tests to validate the method before the application to the real data. Then we apply this new developed...

... ABSTRACT We study the problem of the moment tensor inversion of a double-couple microseismic source from observed S/P amplitude ratios. The emphasis of this work is on uncertainty quantification that includes the effect of the uncertain event location. We use a Bayesian approach to quantify...

... waveform synthetic data reservoir characterization constraint correction small magnitude upstream oil & gas seg seg international exposition annual meeting tensor inversion full waveform alignment tensor solution source location trial solution residual time receiver Aki , K...

...Moment tensor inversion of induced seismicity under different station configurations in oil/gas fields Chen Gu* and M. Nafi Toköz, Massachusetts Institute of Technology Summary Induced seismicity occurs both in conventional oil/gas fields due to production and water injection and in unconventional...

... Summary Most downhole hydraulic fracturing monitoring cases make use of a single monitoring well. Moment-tensor inversion (MTI) under this condition cannot be applied to recover the full six element MT due to the ill-posed monitoring geometry. In this paper, we propose a multi-event MTI...

... microseismic monitoring tensor inversion geometry mti upstream oil & gas symmetry geophysics microseismic data aperture inversion grechka slowness slowness vector tensor inverse problem plane yaskevich reservoir characterization microseismic event anisotropy vector ray...

... Summary Moment tensor inversion (MTI) has been applied to downhole microseismic monitoring of hydraulic-fracturing treatments using the singular value decomposition leastsquares method. However, this method can yield an unstable result for noise-contaminated data input in cases where the data...

... Summary Source mechanism of the ultrasonic transducer located in anisotropic region is being evaluated by moment tensor inversion with full waveform seismograms, which are collected from the physical modeling experiment designed to simulate the microseismic survey in the laboratory. Two...

... a posterior uncertainty metric; interpretation of the results is ongoing. vector tensor reservoir characterization anisotropy mechanism displacement tensor inversion chapman potency tensor source parameter visualization seg denver 2014 decomposition tensor inversion decomposition receiver...

... peak ground velocity (PGV), calibrated by a reference moment magnitude obtained from moment tensor inversion. For 265 good signal to noise ratio (SNR) events recorded using a near-surface seismic array (receivers buried at an approximate depth of 30m), the square of the correlation coefficient (R 2...