A5068704471- earthquake and tectonic studies
- Seismology and Earthquake Studies
- Seismic Waves and Analysis
- Seismic Imaging and Inversion Techniques
- Earthquake Detection and Analysis
- High-pressure geophysics and materials
- Reservoir Engineering and Simulation Methods
- Geophysics and Sensor Technology
- Geological and Geochemical Analysis
- Geological and Geophysical Studies
- Geological Modeling and Analysis
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Geological and Geophysical Studies Worldwide
- Geological formations and processes
- Geophysical Methods and Applications
- Underwater Acoustics Research
- Drilling and Well Engineering
- Methane Hydrates and Related Phenomena
- Flow Measurement and Analysis
- Speech and Audio Processing
- Geophysical and Geoelectrical Methods
- Hydraulic Fracturing and Reservoir Analysis
- Ultrasonics and Acoustic Wave Propagation
- Anomaly Detection Techniques and Applications
- Seismic Performance and Analysis
GFZ Helmholtz Centre for Geosciences
2019-2025
University of Potsdam
2021-2024
Kiel University
2020-2022
United States Geological Survey
2016-2017
GeoInformation (United Kingdom)
2017
Abstract. The finite physical source problem is usually studied with the concept of volume and time integrals over Green's functions (GFs), representing delta-impulse solutions to governing partial differential field equations. In seismology, use realistic Earth models requires calculation numerical or synthetic GFs, as analytical are rarely available. computation such GFs computationally operationally demanding. As a consequence, on-the-fly recalculation in each iteration an optimisation...
Abstract The Bayesian earthquake analysis tool (BEAT) is an open-source Python software to conduct source-parameter estimation studies for crustal deformation events, such as earthquakes and magma intrusions, by employing a framework with flexible problem definition. features functionality calculate Green’s functions homogeneous or layered elastic half-space. Furthermore, algorithm(s) that explore the solution space may be selected from suite of implemented samplers. If desired, BEAT’s...
ABSTRACT Since 1991, induced earthquakes have been observed and linked to gas production in the Groningen field. Recorded waveforms are complex, resulting partly from a Zechstein salt layer overlying reservoir free-surface reverberations, internal multiples, interface conversions, guided waves, waves diving below reservoir. Therefore, picking of polarities or amplitudes for use moment tensor inversion is problematic, whereas phase identification may be circumvented employing full waveform...
Abstract The Utah Frontier Observatory for Research in Geothermal Energy (FORGE) is a field-scale enhanced geothermal system (EGS) laboratory studying new techniques and strategies to overcome problems that have halted or hindered the broad application of EGS, including induced seismic activity cost-efficient monitoring EGS reservoirs. During latest stimulation experiments April 2024, we deployed network geophone patches improve (near-) surface network. These consist nine closely spaced...
We introduce a data-driven method and software for detecting locating earthquakes in large seismic datasets. By combining phase arrival annotations, delivered by neural network pickers, waveform stacking with an adaptive octree search, we can automatically detect locate events even noise-dominant data. The resolution of the search volume is iteratively refined toward source location; this strategy facilitates efficient, fast, accurate search. present user-friendly high-performance...
Monitoring microseismicity is fundamental to advancing our understanding of fault mechanics under natural and anthropogenic influences. Recent advancements in seismological methodologies, particularly those employing deep learning techniques, have significantly improved the detection weak earthquakes while preserving high levels precision reliability.This study aims enhance characterization seismicity Val d’Agri region (Southern Italy) by implementing advanced learning-based...
SUMMARY Distributed acoustic sensing (DAS) technology enables the detection of waves generated by seismic events, generally as uniaxial strain/strain rate time-series observed for dense, subsequent, portions a Fibre Optic Cable (FOC). Despite advantages in measurement density, data quality is often affected signal polarization, site effects and cable coupling, beyond physical energy decay with distance. To better understand relative importance these factors inversion, we attempt first...
Summary Data recorded by distributed acoustic sensing (DAS) along an optical fibre sample the spatial and temporal properties of seismic wavefields at high density. Often leading to massive amount data when collected for monitoring many kilometre long cables. The spatially coherent signals from weak arrivals within are often obscured incoherent noise. We present a flexible computationally efficient filtering technique, which makes use dense sampling that can handle large data. presented...
Abstract From June to August 2021, we deployed a dense seismic nodal network across the Hengill geothermal area in southwest Iceland image and characterize faults high-temperature zones at high resolution. The comprised 498 geophone nodes spread northern Nesjavellir southern Hverahlíð fields was complemented by an existing permanent temporary backbone of total 44 short-period broadband stations. In addition, recorded distributed acoustic sensing data along two fiber optic telecommunication...
We suggest an approach employing full waveforms from synthetic seismograms to estimate moment magnitudes and their uncertainties peak amplitudes. The new method is theoretically derived. It does not change the established routines of traditional procedures for magnitude determination, while overcoming some limitations such as saturation, scattering source complexity. Attenuation functions are derived on-the-fly each source-station combination using Green's function databases representing...
Abstract We analyze seismicity and centroid moment tensors (CMTs) on the Reykjanes Peninsula, Iceland, during early phase of a widespread unrest period that led to multiple fissure eruptions between 2021 2024. use dense temporary seismic array, together with fiber‐optic distributed acoustic sensing data, incorporate first‐motion polarities into CMT inversion improve accuracy, generating total 300 robust solutions for magnitudes , focusing 83 reliable earthquakes interpretation. The CMTs...
SUMMARY Despite its high-seismogenic potential, the details of seismogenic processes Zagros Simply Folded Belt (SFB) remains debated. Three large earthquakes (Mw 7.3, 5.9 and 6.3) struck in Lurestan arc SFB 2017 2018. The sequence was recorded by seismic stations at regional, teleseismic distances. Coseismic surface displacements, measured Sentinel-1A/B satellites, provide additional data a unique opportunity to study these detail. Here, we complement previous studies coseismic slip...
Abstract. The 24 January 2020 Mw 6.77 Elazığ-Sivrice earthquake (Turkey), responsible for 42 casualties and ~ 1600 injured people, is the largest affecting East Anatolian Fault (EAF) since 1971. partially ruptured a seismic gap. mainshock was preceded by two foreshocks with ≥ 4.9 small seismicity clusters occurring in previous months close to nucleation point of main rupture. significant aftershock sequence comprises twelve earthquakes 4.5 within 60 days. We jointly model quasi co-seismic...
Inferring the geometry and evolution of an earthquake sequence is crucial to understand how fault systems are segmented interact. However, structural geological models often poorly constrained in remote areas inference ill-posed problem with a reliability that depends on many factors. Here, we investigate Mw 6.3 2008 2009 Qaidam earthquakes, northeast Tibet, by combining InSAR time series teleseismic data. We conduct multi-array back-projection analysis from broadband data process three...
In the realm of seismic and microseismic event detection localization, our research marks a significant step forward by integrating machine learning with advanced waveform-stacking techniques for detecting, locating characterising events. This integration is crucial unravelling complex spatio-temporal patterns seismicity sequences. Our study addresses challenges posed noise-dominant events, which are typically overlooked conventional methods. Building upon foundational work on migration...
Abstract. The finite physical source problem is usually studied with the concept of volume and time integrals over Green's functions (GF), representing delta-impulse solutions to governing partial differential field equations. In seismology, use realistic Earth models requires calculation numerical or synthetic GFs, as analytical are rarely available. computation such GFs computationally operationally demanding. As a consequence, on-the-fly re-calculation in each iteration an optimisation...
Abstract A common challenge in acoustic meteoroid signal analyses is to discriminate whether the observed wavefield can be better described by line-source or point-source models. This typically arises from a sparse availability of observations. In this work, we present an outstanding record ground-coupled waves local large-N seismic and distributed sensing (DAS) observations Iceland. Our complete data set includes additional regional stations located within 300 km meteoroid’s trajectory. The...
<p>The Mw 7.3 Sarpol-Zahab earthquake occurred on 12 November 2017 in the Lurestan arc of Zagros Simply Folded Belt (ZSFB). It is estimated that 600 people were killed and 8000 injured this earthquake. This has been largest instrumentally recorded ZSFB its moment, as well mechanism, unexpected. We present an source study earthquake, two large following earthquakes region 2018 their corresponding aftershock sequences to gain insight seismotectonic fold-thrust...
<p>Pyrocko is an open source seismology toolbox and library, written in the Python programming language. It can be utilized flexibly for a variety of geophysical tasks, like seismological data processing analysis, modelling waveforms, InSAR or GPS displacement data, seismic characterization. At its core, Pyrocko  library  and  framework  providing  building  blocks  for researchers...