Preprints

Filtering by Subject: Geophysics and Seismology

Hotspots and mantle plumes revisited: Towards reconciling the mantle heat transfer discrepancy

Mark James Hoggard, Ross Parnell-Turner, Nicky White

Published: 2020-05-27
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

Mantle convection is the principal mechanism by which heat is transferred from the deep Earth to the surface. Cold subducting slabs sink into the mantle and steadily warm, whilst upwelling plumes carry heat to the base of lithospheric plates where it can subsequently escape by conduction. Accurate estimation of the total heat carried by these plumes is important for understanding geodynamic [...]

Including Earth-structure uncertainties in nonlinear moment-tensor estimations

Hannes Vasyura-Bathke, Jan Dettmer, Rishabh Dutta, et al.

Published: 2020-05-27
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

Earthquake-source parameters can be estimated from seismic waveforms. Since these data indirectly observe the deformation process, parameters of a physical model that quantifies the deformation process are inferred through the inverse problem; which is under-determined. This requires several assumptions to be made about Earth structure and other aspects that affect the source parameter [...]

Optimal processing for seismic noise correlations

Andreas Fichtner, Daniel Bowden, Laura A Ermert

Published: 2020-05-27
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

A wide spectrum of processing schemes is commonly applied during the calculation of seismic noise correlations. This is intended to suppress large-amplitude transient and monochromatic signals, to accelerate convergence of the correlation process, or to modify raw correlations into more plausible approximations of inter-station Greens functions. Many processing schemes, such as one-bit [...]

Stress Recovery for the Particle-in-cell Finite Element Method

Haibin Yang, Louis N. Moresi, John Mansour

Published: 2020-05-26
Subjects: Applied Mathematics, Computer Sciences, Earth Sciences, Geophysics and Seismology, Mathematics, Numerical Analysis and Computation, Numerical Analysis and Scientific Computing, Physical Sciences and Mathematics, Tectonics and Structure

The interelement stress in the Finite Element Method is not continuous in nature, and stress projections from quadrature points to mesh nodes often causes oscillations. The widely used particle-in-cell method cannot avoid this issue and produces worse results when there are mixing materials of large strength (e.g., viscosity in Stokes problems) contrast in one element. The post-processing methods [...]

60 YEARS OF AIRBORNE AFMAG METHOD EVOLUTION

Alexander Prikhodko, Petr Valentinovich Kuzmin, Andrei Bagrianski

Published: 2020-05-25
Subjects: Civil and Environmental Engineering, Earth Sciences, Engineering, Geophysics and Seismology, Geotechnical Engineering, Physical Sciences and Mathematics

Development and following commercial use of the airborne electromagnetic method based on natural fields in the audio-frequency band (AFMAG) started in late 50s of the last century. After several decades of the development downtime, limitations inherent to the method were resolved in 80s by adapting the tensor analysis, remote reference noise bias removal techniques and computation of the tippers. [...]

Automated Seismic Source Characterisation Using Deep Graph Neural Networks

Martijn van den Ende, Jean Paul Ampuero

Published: 2020-05-25
Subjects: Artificial Intelligence and Robotics, Computer Sciences, Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

Most seismological analysis methods require knowledge of the geographic location of the stations comprising a seismic network. However, common machine learning tools used in seismology do not account for this spatial information, and so there is an underutilised potential for improving the performance of machine learning models. In this work, we propose a Graph Neural Network (GNN) approach that [...]

Deep ductile shear localization facilitates near-orthogonal strike-slip faulting in a thin brittle lithosphere

Chao Liang, Jean Paul Ampuero, Daniel Pino Munoz

Published: 2020-05-25
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics, Tectonics and Structure

Some active fault systems comprise near-orthogonal conjugate strike-slip faults, as highlighted by the 2019 Ridgecrest and the 2012 Indian Ocean earthquake sequences. In conventional failure theory, orthogonal faulting requires a pressure-insensitive rock strength, which is unlikely in the brittle lithosphere. Here, we conduct 3D numerical simulations to test the hypothesis that near-orthogonal [...]

The influence of spreading rate and permeability on melt focusing beneath mid-ocean ridges

Shi Sim, Marc Spiegelman, Dave Stegman, et al.

Published: 2020-05-25
Subjects: Earth Sciences, Geophysics and Seismology, Other Earth Sciences, Physical Sciences and Mathematics

At mid-ocean ridges, oceanic crust is emplaced in a narrow neovolcanic region on the seafloor, whereas basaltic melt that forms this oceanic crust is generated in a wide region beneath as suggested by a few geophysical surveys. The combined observations suggest that melt generated in a wide region at depths has to be transported horizontally to a small region at the surface. We present results [...]

On the thermo-poro-mechanics of chemically active faults

Emmanouil Veveakis

Published: 2020-05-21
Subjects: Civil and Environmental Engineering, Earth Sciences, Engineering, Geophysics and Seismology, Geotechnical Engineering, Physical Sciences and Mathematics

Shear zones in outcrops and core drillings on active faults commonly reveal two scales of localization, with centimeter to tens of meters thick deformation zones embedding much narrower zones of mm- to cm-scale. The narrow zones are often attributed to some form of fast instability such as earthquakes or slow slip events. Surprisingly, the double localisation phenomenon seem to be independent of [...]

Multi-task learning based P/S wave separation and reverse time migration for VSP

Yanwen Wei, Yunyue Elita Li, Jingjing Zong, et al.

Published: 2020-05-14
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

P/S wave mode separation is an essential tool for single-mode analysis from multi-component seismic data. Wave separation methods in recorded data require expert knowledge to choose parameters in different shots of data. To make this process automatic, we propose a machine learning-based method to separate P/S waves. This method employs a multi-task neural network that extracts P- and S-potential [...]

Construction of fault geometry by finite-fault inversion of teleseismic data

Kousuke Shimizu, Yuji Yagi, Ryo Okuwaki, et al.

Published: 2020-05-08
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

Conventional seismic source inversion estimates the earthquake rupture process on an assumed fault plane that is determined a priori. It has been a difficult challenge to obtain the fault geometry together with the rupture process by seismic source inversion because of the nonlinearity of the inversion technique. In this study, we propose an inversion method to estimate the fault geometry and the [...]

Geomagnetic field variability: geomagnetic dynamo and helical distributed chaos

Alexander Bershadskii

Published: 2020-05-07
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

It is shown that helicity dynamics dominates the thermal convection-driven geomagnetic field variability. The notion of the distributed chaos has been used for this purpose. The large-scale circulation in the Earths outer (metallic liquid) core is especially sensitive to the helicity dynamics and its chaotic reversals can be associated with the reversals of the mean helicity sign (the ergodic [...]

A Reduced Order Approach for Probabilistic Inversions of 3D Magnetotelluric Data I: General Formulation

Maria Constanza Manassero, Juan Carlos Afonso, Fabio Zyserman, et al.

Published: 2020-05-07
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

Simulation-based probabilistic inversions of 3D magnetotelluric (MT) data are arguably the best option to deal with the non-linearity and non-uniqueness of the MT problem. However, the computational cost associated with the modeling of 3D MT data has so far precluded the community from adopting and/or pursuing full probabilistic inversions of large MT datasets. In this contribution, we present a [...]

Early earthquake detection capabilities of different types of future-generation gravity gradiometers

Tomofumi Shimoda, Kévin Juhel, Jean Paul Ampuero, et al.

Published: 2020-05-07
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

Since gravity propagates at the speed of light, gravity perturbations induced by earthquake deformation have the potential to enable faster alerts than the current earthquake early warning systems based on seismic waves. Additionally, for large earthquakes (Mw > 8), gravity signals may allow for a more reliable magnitude estimation than seismic-based methods. Prompt elastogravity signals [...]

Permeability computation of high resolution µCTscan with an unfitted boundary method to improve accuracy

Martin Lesueur, Hadrien Rattez, Oriol Colomés

Published: 2020-05-07
Subjects: Civil and Environmental Engineering, Earth Sciences, Engineering, Geophysics and Seismology, Hydraulic Engineering, Hydrology, Physical Sciences and Mathematics

Flow simulations on porous media, reconstructed from Micro-Computerised Tomography (μCT)-scans, is becoming a common tool to compute the permeability of rocks. In order for the value of this homogenised hydraulic property to be representative of the rock at a continuum scale, the sample considered needs to be at least as large as the Representative Elementary Volume. More- over, the numerical [...]

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