ORCID Profile
0000-0002-5868-9491
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Seismology and Seismic Exploration | Geophysics | Geodynamics | Electrical and Electromagnetic Methods in Geophysics
Expanding Knowledge in the Earth Sciences | Oil and Gas Exploration | Mineral Exploration not elsewhere classified |
Publisher: Oxford University Press (OUP)
Date: 21-03-2012
Publisher: American Geophysical Union (AGU)
Date: 02-03-2023
DOI: 10.1029/2022GL101254
Abstract: This study introduces a technique for four‐dimensional pore pressure monitoring using passive image interferometry. Surface‐wave velocity changes as a function of frequency are directly linked to depth variations of pore pressure changes through sensitivity kernels. We demonstrate that these kernels can be used to invert time‐lapse seismic velocity changes, retrieved with passive image interferometry, for hydrological pore pressure variations as a function of time, depth, and region. This new approach is applied in the Groningen region of the Netherlands. We show good recovery of pore pressure variations in the upper 200 m of the subsurface from passive seismic velocity observations. This depth range is primarily limited by the reliable frequency range of the seismic data.
Publisher: Elsevier BV
Date: 12-2014
Publisher: American Geophysical Union (AGU)
Date: 20-06-2013
DOI: 10.1002/GRL.50615
Publisher: Elsevier BV
Date: 11-2008
Publisher: Oxford University Press (OUP)
Date: 04-2009
Publisher: Elsevier BV
Date: 08-2016
Publisher: American Geophysical Union (AGU)
Date: 28-08-2016
DOI: 10.1002/2016GL069887
Publisher: Elsevier BV
Date: 11-2012
Publisher: MDPI AG
Date: 07-07-2021
DOI: 10.3390/RS13142684
Abstract: Previous studies examining the relationship between the groundwater table and seismic velocities have been guided by empirical relationships only. Here, we develop a physics-based model relating fluctuations in groundwater table and pore pressure with seismic velocity variations through changes in effective stress. This model justifies the use of seismic velocity variations for monitoring of the pore pressure. Using a subset of the Groningen seismic network, near-surface velocity changes are estimated over a four-year period, using passive image interferometry. The same velocity changes are predicted by applying the newly derived theory to pressure-head recordings. It is demonstrated that the theory provides a close match of the observed seismic velocity changes.
Publisher: Oxford University Press (OUP)
Date: 27-06-2013
DOI: 10.1093/GJI/GGT220
Publisher: Elsevier BV
Date: 06-2013
Publisher: Oxford University Press (OUP)
Date: 09-11-2015
DOI: 10.1093/GJI/GGV440
Abstract: Whenever a geophysical image is to be constructed, a variety of choices must be made. Some, such as those governing data selection and processing, or model parametrization, are somewhat arbitrary: there may be little reason to prefer one choice over another. Others, such as defining the theoretical framework within which the data are to be explained, may be more straightforward: typically, an ‘exact’ theory exists, but various approximations may need to be adopted in order to make the imaging problem computationally tractable. Differences between any two images of the same system can be explained in terms of differences between these choices. Understanding the impact of each particular decision is essential if images are to be interpreted properly—but little progress has been made towards a quantitative treatment of this effect. In this paper, we consider a general linearized inverse problem, applicable to a wide range of imaging situations. We write down an expression for the difference between two images produced using similar inversion strategies, but where different choices have been made. This provides a framework within which inversion algorithms may be analysed, and allows us to consider how image effects may arise. In this paper, we take a general view, and do not specialize our discussion to any specific imaging problem or setup (beyond the restrictions implied by the use of linearized inversion techniques). In particular, we look at the concept of ‘hybrid inversion’, in which highly accurate synthetic data (typically the result of an expensive numerical simulation) is combined with an inverse operator constructed based on theoretical approximations. It is generally supposed that this offers the benefits of using the more complete theory, without the full computational costs. We argue that the inverse operator is as important as the forward calculation in determining the accuracy of results. We illustrate this using a simple ex le, based on imaging the density structure of a vibrating string.
Publisher: American Geophysical Union (AGU)
Date: 02-02-2007
DOI: 10.1029/2006GL028671
Publisher: Oxford University Press (OUP)
Date: 29-04-2013
DOI: 10.1093/GJI/GGT118
Publisher: Oxford University Press (OUP)
Date: 27-04-2023
DOI: 10.1093/GJI/GGAD195
Abstract: The computational cost of full waveform simulation in seismological contexts is known to be expensive and generally requires large clusters of computers working in parallel. Although there have been many methods proposed over recent years to reduce this burden, in this work, we focus on a particular method called model order reduction (MOR) whereby a full waveform system of equations is projected onto a lower dimensional space to reduce computational and memory requirements at the cost of introducing approximation errors. In this paper, inspired by normal mode (NM) theory, we use the eigenmodes of the seismic wave equation to span this lower dimensional space. From this we argue that NM theory can be seen as an early form of MOR. Using this as inspiration, we demonstrate how free body oscillations and a form of Petrov–Galerkin projection can be applied in regional scale problems utilizing recent advanced eigensolvers to create a MOR scheme. We also demonstrate how this can be applied to inverse problems. We further conjecture that MOR will have an important role to play in future full waveform applications, particularly those of a time-critical nature such as seismic hazard monitoring.
Publisher: Oxford University Press (OUP)
Date: 03-2008
Publisher: Oxford University Press (OUP)
Date: 28-03-2016
DOI: 10.1093/GJI/GGW108
Publisher: Seismological Society of America (SSA)
Date: 30-06-2015
DOI: 10.1785/0120150010
Publisher: American Geophysical Union (AGU)
Date: 12-05-2018
DOI: 10.1029/2018GL077338
Publisher: Elsevier BV
Date: 07-2013
Publisher: Elsevier BV
Date: 06-2008
Publisher: Elsevier BV
Date: 10-2021
Publisher: Oxford University Press (OUP)
Date: 27-12-2013
DOI: 10.1093/GJI/GGT473
Publisher: Wiley
Date: 23-09-2022
Publisher: Wiley
Date: 27-02-2023
DOI: 10.1002/ESSOAR.10512408.2
Abstract: This study introduces a technique for four-dimensional pore pressure monitoring using passive image interferometry. Surface-wave velocity changes as a function of frequency are directly linked to depth variations of pore pressure changes through sensitivity kernels. We demonstrate that these kernels can be used to invert time-lapse seismic velocity changes, retrieved with passive image interferometry, for hydrological pore pressure variations as a function of time, depth and region. This new approach is applied in the Groningen region of the Netherlands. We show good recovery of pore pressure variations in the upper 200 m of the subsurface from passive seismic velocity observations. This depth range is primarily limited by the reliable frequency range of the seismic data.
Publisher: Oxford University Press (OUP)
Date: 10-04-2018
DOI: 10.1093/GJI/GGY141
No related organisations have been discovered for Jeannot Trampert.
Start Date: 08-2020
End Date: 12-2023
Amount: $399,000.00
Funder: Australian Research Council
View Funded Activity