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Visualizing Best and Worst Case Scenarios in Joint, Constrained, and Time-Dependent Inversions I: Null-Space Transfer and Image-Space Contradictions
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences.ORCID iD: 0000-0002-3289-7719
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences.
(English)Manuscript (preprint) (Other academic)
Abstract [en]

Because geophysical inversion is used in many vital societal applications, it is unfortunate that some aspects of inverse methods are so abstract. The difficulty of identifying fundamental behaviors is exacerbated when investigating large non-linear problems which combine multiple datasets into a single model, or which produce multiple models with constraints between them. In this first of multiple papers, we investigate and visualize fundamental behaviors of these abstract methods beyond what has been described previously by using simple problems. Instead of using the common resolution description, we use the concepts of the Null Space and Image Space. After providing readers with an intuitive sense of the behaviors of simpler inverse methods, we investigate cases of Joint, Constrained, and Time-Dependent inversion without errors, before moving on to the influence of errors. We then extract the fundamental behaviors of these complex methods from the presented best and worst cases. These new insights allow us to propose four avenues to improve inversion results (including two novel methods), which we present with similar simple problems. Overall, we show the benefits of producing multiple estimated models using constraints over combining the inverse problems into a single model, and, the benefit of visualizing simple problems to uncover deep insights into the fundamentals of our everyday methods.

Keywords [en]
Joint inversion – Constrained inversion – Null Space – Time-Dependent Tomography – Asynchronous Data – Optimized Experimental Design
National Category
Geophysics
Identifiers
URN: urn:nbn:se:uu:diva-482649DOI: 10.31223/X5R656OAI: oai:DiVA.org:uu-482649DiVA, id: diva2:1690114
Available from: 2022-08-24 Created: 2022-08-24 Last updated: 2022-08-25
In thesis
1. Investigating Time-Varying Processes Using Seismicity and Time-Dependent Tomography
Open this publication in new window or tab >>Investigating Time-Varying Processes Using Seismicity and Time-Dependent Tomography
2022 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Our global society is affected by, and makes use of, many time-varying processes. Processes related to geothermal energy and CO2 sequestration can help mitigate climate change and reduce the number of premature deaths (millions annually) due to air pollution from fossil fuels. Processes related to volcanic hazards instead endanger lives and infrastructure in the form of e.g. eruptions, earthquakes, and toxic gases. The related time-varying processes have changing signatures, with specific starting and ending points, and associated time frames, and are investigated in this dissertation using seismicity and time-dependent tomography (TDT).

TDT has been used to, e.g., investigate pre-, syn, and post-eruptive periods in volcanic settings, as well as the stimulation of an enhanced geothermal system. One cannot, however, simply produce results for individual epochs and interpret them. We show how artificial differences between results can arise for such individual inversions, as well as for a joint inversion of asynchronous data, and when using constraints (e.g. inter-model minimization). A pragmatic method is presented to identify whether the differences between results go beyond these artificial differences.

The time-varying processes under investigation relate to the Reykjanes Peninsula, Iceland, which hosts multiple geothermal power plants, and was the location of several striking signals: Multi-year deformation in a volcanic system, followed by 15 months of volcanotectonic unrest, leading to the first eruption on the peninsula in ~780 years.

We show that the multi-year deformation signal is related to a super-critical reservoir that could feed a new geothermal power plant, and identify 14 seismic swarms that cascade along the boundary deformation zone during movements along this zone. We also present the first ever tomographic image of a deep magma reservoir below the Reykjanes Peninsula and follow a propagating dike from the moment it ruptured this reservoir's roof until its arrest, which was followed by a second rupture that lead to the March 2021 eruption in Fagradalsfjall.

We explain three possible mechanisms that can lead to both vertical arrest and lateral deflection of a propagating dike. These mechanisms benefit from contacts between mechanically dissimilar layers. Ample evidence for such contacts is found in the field, in deep wells, in a previous study, and in our tomographic images.

Lastly, we show how the deepening of the seismicity within the magma reservoir during the eruption connects with how the lava samples obtained at the surface evolved from depleted to enriched with time.

Place, publisher, year, edition, pages
Uppsala University: Acta Universitatis Upsaliensis, 2022. p. 91
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 2181
Keywords
Time-Dependent Tomography, Joint Inversion, Geothermal Energy, Volcanotectonics, Seismic Unrest, Fagradalsfjall Eruption
National Category
Geophysics Geosciences, Multidisciplinary
Research subject
Geophysics with specialization in Seismology
Identifiers
urn:nbn:se:uu:diva-482658 (URN)978-91-513-1580-5 (ISBN)
Public defence
2022-10-10, Hambergsalen, Villavägen 16, Uppsala, 13:00 (English)
Opponent
Supervisors
Available from: 2022-09-16 Created: 2022-08-25 Last updated: 2022-09-16

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