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Regional-scale aquifer characterization based on the quantitative integration of geophysical and hydraulic data

English title Regional-scale aquifer characterization based on the quantitative integration of geophysical and hydraulic data
Applicant Holliger Klaus
Number 152917
Funding scheme Project funding
Research institution Centre de recherches en environnement terrestre (CRET) Université de Lausanne
Institution of higher education University of Lausanne - LA
Main discipline Geophysics
Start/End 01.11.2014 - 30.11.2018
Approved amount 240'964.00
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All Disciplines (3)

Discipline
Geophysics
Geology
Hydrology, Limnology, Glaciology

Keywords (12)

porosity; sustainable groundwater management; hydrogeophysics; groundwater remediation; flow and transport modeling; hydrogeology; permeability; regional-scale aquifer characterization; groundwater protection; surficial aquifers; history matching; contaminant transport

Lay Summary (German)

Lead
In den vergangenen Jahren waren bedeutende Fortschritte in Bezug auf die Integration geophysikalischer und hydrologischer Daten fuer die quantitative Charakterisierung von Grundwasserleitern auf lokaler Ebene zu verzeichnen. Die Erweiterung solcher Methoden auf die regionale Ebene ist aber ein noch weitgehend ungelöstes Problem, obwohl gerade hier der dringlichste Bedarf besteht.
Lay summary

Dieses Projektes beschaeftigt sich Entwicklung von Strategien zur regionalskaligen Charakterisierung von oberflaechennahen Grundwasserleitern basierend der quantitative Integration von geophysikalischen und hydrologischenDaten. Dabei soll inbesondere die Verteilungen der hydraulischen Leitfaehigkeit mit ausreichender Verlaesslichkeit geschaetzt werden koennen, um so verlaessliche Prognosen der vorherrschende Stroemungs- und Transportphaenomene zu erlauben. Diese Informationen sind für den Schutz, die Sanierung und die nachhaltige Bewirtschaftung unserer immer knapper und fragiler werdenden Grundwasservorkommen von groesster Bedeutung.

Basierend auf ermutigenden Ergebnissen fuer realistische Modellszenarien, beabsichtigen wir nun, den im Rahmen eines Vorgaegnerprojecktes entwickelten methodologischen Ansatz zur regionalskaligen geophysikalisch-hydrologischen Datenintegration an relevante Felddaten testen und, falls angezeigt, entsprechend anzupassen und zu verbessern.

Direct link to Lay Summary Last update: 25.09.2014

Lay Summary (English)

Lead
Significant progress has been made regarding the quantitative integration of geophysical and hydrological data at the local scale. Extending such approaches to the regional scale does, however, represent a major, and as of yet largely unresolved, challenge. Yet, it is at the regional scale where by far the largest benefits of correspondingly improved hydrological models could be reaped. This project addresses this problem.
Lay summary

A strategy is proposed for the extending the characterization of surficial aquifers from the local to the regional scale based on the quantitative integration geophysical and hydrological data. The objective is to  provide aquifer-scale models of the hydraulic conductivity distribution that are sufficiently detailed and accurate to allow for a faithful prediction of the pertinent flow and transport phenomena. This type of information is critical for the protection, remediation, and sustainable management of the increasingly scarce and fragile groundwater resources. Geophysical methods have the potential to bridge the inherent gap in terms of spatial resolution and coverage that exists between traditional hydrological methods, such as core analyses and tracer or pumping tests.

 

The goal of this project is to generate fine-scale realizations of the regional hydraulic conductivity field when provided with spatially exhaustive but poorly resolved measurements of a related geophysical parameter as well as highly resolved, but spatially sparse collocated measurements of the considered geophysical parameter and the hydraulic conductivity.

Direct link to Lay Summary Last update: 25.09.2014

Responsible applicant and co-applicants

Employees

Publications

Publication
Hydrogeophysical data integration through Bayesian Sequential Simulation with log-linear pooling
Nussbaumer Raphaël, Mariethoz Grégoire, Gloaguen Erwan, Holliger Klaus (2020), Hydrogeophysical data integration through Bayesian Sequential Simulation with log-linear pooling, in Geophysical Journal International, 221(3), 2184-2200.
Simulation of fine-scale electrical conductivity fields using resolution-limited tomograms and area-to-point kriging
Nussbaumer Raphaël, Linde Niklas, Mariethoz Grégoire, Holliger Klaus (2019), Simulation of fine-scale electrical conductivity fields using resolution-limited tomograms and area-to-point kriging, in Geophysical Journal International, 218(2), 1322-1335.
Accelerating Sequential Gaussian Simulation with a constant path
Nussbaumer Raphael, Mariéthoz Grégoire, Gravey Mathieu, Gloaguen Erwan, Holliger Klaus (2018), Accelerating Sequential Gaussian Simulation with a constant path, in Computers & Geosciences, 112, 121-132.
Which Path to Choose in Sequential Gaussian Simulation
Nussbaumer Raphael, Mariéthoz Grégoire, Gloaguen Erwan, Holliger Klaus (2018), Which Path to Choose in Sequential Gaussian Simulation, in Mathematical Geosciences, 50(1), 97-120.
Accurate and efficient integration of geophysical and hydraulic data at the sub-regional scale through Bayesian sequential simulation with log-linear pooling
Nussbaumer Raphael, Mariéthoz Grégoire, Gloaguen Erwan, Holliger Klaus (2017), Accurate and efficient integration of geophysical and hydraulic data at the sub-regional scale through Bayesian sequential simulation with log-linear pooling, in SEG Technical Program Expanded Abstracts 2017, Houston, Texas, USASociety of Exploration Geophysicists, Tulsa, Oklahoma, USA.
A stochastic inversion workflow for monitoring the distribution of CO2 injected into deep saline aquifers
Perozzi Lorenzo, Gloaguen Erwan, Giroux Bernard, Holliger Klaus (2016), A stochastic inversion workflow for monitoring the distribution of CO2 injected into deep saline aquifers, in Computational Geosciences, (6), 1287-1300.

Collaboration

Group / person Country
Types of collaboration
Dr. Philippe Renard Switzerland (Europe)
- in-depth/constructive exchanges on approaches, methods or results
Professor Erwan Gloaguen, Institut National de la Recherche Scientifique (INRS) Canada (North America)
- in-depth/constructive exchanges on approaches, methods or results
- Publication
- Exchange of personnel
Professor Grégoire Mariéthoz, Institute of Earth Surfance Dynamics, University of Lausanne Switzerland (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Publication

Scientific events

Active participation

Title Type of contribution Title of article or contribution Date Place Persons involved
GeoEnv2018 Talk given at a conference Simulation of fine-scale electrical conductivity fields using tomograms and area-to-point kriging 03.07.2018 Belfast, Great Britain and Northern Ireland Holliger Klaus;
Annual Meeting of the Society of Exploration Geophysicists 2017 Talk given at a conference Accurate and efficient integration of geophysical and hydraulic data at the subregional scale through Bayesian sequential simulation with log-linear pooling 24.09.2017 Houston, Texas, United States of America Holliger Klaus;
Spatial Statistics 2017 Talk given at a conference Constant path in SGS: consequences and benefits 04.07.2017 Lancaster, Great Britain and Northern Ireland Nussbaumer Raphaël; Holliger Klaus;
Spatial Statistics 2017 Talk given at a conference Improving Bayesian Sequential Simulation with adaptive log-linear pooling 04.07.2017 Lancaster, Great Britain and Northern Ireland Holliger Klaus; Nussbaumer Raphaël;
Geostats2016 Talk given at a conference Sequential simulation path: biases and how to live with them 04.09.2016 Valencia, Spain Holliger Klaus; Nussbaumer Raphaël;
European Geosciences Union General Assembly 2016 Poster A computationally efficient Bayesian sequential simulation approach for the assimilation of vast and diverse hydrogeophysical datasets 17.04.2016 Vienna, Austria Nussbaumer Raphaël; Holliger Klaus;


Awards

Title Year
Frank Frischknecht Leadership Award of the Society of Exploration Geophysicists 2017
Distinguished Service Award of the Society of Exploration Geophysicists for the founders of the Applied and Environmental Geophysics Group of ETH Zurich 2015

Associated projects

Number Title Start Funding scheme
134943 Constraints on the permeability structure of alluvial aquifers from borehole seismic measurements 01.09.2011 Project funding
107658 Local-Scale Characterization of Alluvial Aquifers Based on the Quantitative Integration of High-Resolution Geophysical and Hydrogeological Data 01.10.2005 Project funding
138138 Bayesian Markov-Chain-Monte-Carlo Integration of Geophysical and Hydrological Data for the Purpose of Stochastic Characterization of Heterogeneous Aquifers 01.01.2012 Project funding
146386 Local- to regional-scale aquifer characterization based on the quantitative integration of geophysical and hydrological data 01.04.2013 Project funding

Abstract

A comprehensive strategy is proposed for the regional-scale characterization of surficial aquifers based on the integration of pertinent geophysical and hydraulic data. The key objective of this research is to develop methodologies that are capable of providing aquifer-scale models of the permeability distribution that allow for a faithful prediction of the pertinent flow and transport phenomena. This type of information is critical for the protection, remediation, and sustainable management of the world’s increasingly scarce and fragile groundwater resources. Geophysical methods have the potential to bridge the inherent gap in terms of spatial resolution and coverage that exists for traditional hydrogeological methods and significant progress has been made with regard to the quantitative integration of geophysical and hydraulic data at the local scale. The extension of such approaches to the regional scale, where by far the largest benefits of correspondingly improved hydraulic models wait to be reaped, has, however, only recently come into focus and still represents a fundamental methodological challenge. This project seeks to address this problem through a stochastic procedure for the integration of the regional-scale geophysical and hydraulic database followed by a refinement of the thus inferred permeability models through a history matching approach. The goal is to develop a comprehensive aquifer characterization approach, which, based on a typical hydrogeophysical database, is capable of generating faithful stochastic realizations of the fine-scale permeability distribution throughout the probed subsurface region and that allows for a rigorous quantification of the associated uncertainty. Since the data integration part has, in its essence, already been developed and tested in the course of a corresponding predecessor project, the current research endeavor will largely focus on the history matching part. At present, we consider sequential and/or nested multi-scale approaches to be the most promising avenues for this purpose. This integrated approach will allow for a comprehensive quantitative interpretation of typical regional-scale hydrogeophysical databases and thus has the potential of providing the most realistic larger-scale aquifer models available to date. In addition to this, we propose to revisit the initial downscaling step data of our data integration algorithm and explore whether and how the exploitation of the information contained in the low-resolution regional-scale geophysical data can be optimized. Currently, this part of the algorithm is responsible for the overwhelming fraction of the total computational cost and hence also offers the greatest potential for substantial gains in efficiency. The anticipated savings will not only allow for compensating the additional computational effort associated with the newly added history matching procedure, but will also contribute substantially towards our longer-term objective of making this novel regional-scale aquifer characterization approach amenable to three-dimensional models.
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