Hydraulic tomography in coupled discrete-continuum concept to image hydraulic properties of a fractured and karstified aquifer (Lez aquifer, France)

Fischer, Pierre; Jardani, Abderrahim; Jourde, Hervé

doi:10.1016/j.advwatres.2020.103523

Cited by 24 publications

(18 citation statements)

References 29 publications

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“…To our knowledge, the present paper is the first to combine tracer and geophysical data to identify the discrete geometry of a karst network. Another conceivable approach would be the joint inversion of both types of data, but inversion methods based on a discrete approach to flow and/or transport paths are still at an early stage of development, e.g., Somogyvári et al, 2017 andFischer et al, 2020.…”

Section: Discussionmentioning

confidence: 99%

“…or via the simulation (mimicking) of the action of speleogenetic processes considering pre-existing rock discontinuities (fractures, bedding planes, and inception horizons), e.g., Jaquet et al (2004), Borghi et al (2012) and De Rooij and Graham (2017). Other approaches strive to infer the spatial distribution of karst conduits through the inversion of multiple pumping test and/or tracer test data, also referred to as hydraulic or tracer tomography (Borghi et al, 2016;Mohammadi and Illman, 2019;Fischer et al, 2020). Regardless of the method pursued, any data describing the likely occurrence and location of karst conduits in the subsurface should be supplied to a given model.…”

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confidence: 99%

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Delineation of discrete conduit networks in karst aquifers via combined analysis of tracer tests and geophysical data

Bodin

Porel

Nauleau

et al. 2021

Preprint

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Abstract. Assessment of the karst network geometry based on field data is an important challenge in the accurate modeling of karst aquifers. In this study, we propose an integrated approach for the identification of effective three-dimensional (3D) discrete karst conduit networks conditioned on tracer tests and geophysical data. The procedure is threefold: i) tracer breakthrough curves (BTCs) are processed via a regularized inversion procedure to determine the minimum number of distinct tracer flow paths between injection and monitoring points, ii) available surface-based geophysical data and borehole-logging measurements are aggregated into a 3D proxy model of aquifer hydraulic properties, and iii) single or multiple tracer flow paths are identified through the application of an alternative shortest path (SP) algorithm to the 3D proxy model. The capability of the proposed approach to adequately capture the geometrical structure of actual karst conduit systems mainly depends on the sensitivity of geophysical signals to karst features, whereas the relative completeness of the identified conduit network depends on the number and spatial configuration of tracer tests. The applicability of the proposed approach is illustrated through a case study at the Hydrogeological Experimental Site (HES) in Poitiers, France.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Delineation of discrete conduit networks in karst aquifers via combined analysis of tracer tests and geophysical data

Bodin

Porel

Nauleau

et al. 2021

Preprint

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“…Multicontinua and mobile‐immobile models (Al‐Rudaini et al., 2020; Goltz & Roberts, 1986; Lichtner & Karra, 2014) represent the next level of complexity to account for the presence of preferential flow paths in fractured rocks while staying within the Darcian framework. Hybrid discrete‐continuum models explicitly represent dominant fractures while representing smaller fractures as a continuum (Carrera & Martinez‐Landa, 2000; Fischer et al., 2020). Finally, discrete fracture network (DFN) models attempt to describe individual fractures and processes occurring in them in a manner akin to pore‐scale modeling (Dverstorp & Andersson, 1989; Fumagalli et al., 2019).…”

Section: Uncertainty Quantification Multifidelity Models and Emulatorsmentioning

confidence: 99%

From Fluid Flow to Coupled Processes in Fractured Rock: Recent Advances and New Frontiers

Viswanathan

Ajo‐Franklin

Birkhölzer

et al. 2022

Reviews of Geophysics

113

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Quantitative predictions of natural and induced phenomena in fractured rock is one of the great challenges in the Earth and Energy Sciences with far‐reaching economic and environmental impacts. Fractures occupy a very small volume of a subsurface formation but often dominate fluid flow, solute transport and mechanical deformation behavior. They play a central role in CO2 sequestration, nuclear waste disposal, hydrogen storage, geothermal energy production, nuclear nonproliferation, and hydrocarbon extraction. These applications require predictions of fracture‐dependent quantities of interest such as CO2 leakage rate, hydrocarbon production, radionuclide plume migration, and seismicity; to be useful, these predictions must account for uncertainty inherent in subsurface systems. Here, we review recent advances in fractured rock research covering field‐ and laboratory‐scale experimentation, numerical simulations, and uncertainty quantification. We discuss how these have greatly improved the fundamental understanding of fractures and one's ability to predict flow and transport in fractured systems. Dedicated field sites provide quantitative measurements of fracture flow that can be used to identify dominant coupled processes and to validate models. Laboratory‐scale experiments fill critical knowledge gaps by providing direct observations and measurements of fracture geometry and flow under controlled conditions that cannot be obtained in the field. Physics‐based simulation of flow and transport provide a bridge in understanding between controlled simple laboratory experiments and the massively complex field‐scale fracture systems. Finally, we review the use of machine learning‐based emulators to rapidly investigate different fracture property scenarios and accelerate physics‐based models by orders of magnitude to enable uncertainty quantification and near real‐time analysis.

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“…Among the methods is the generation of plausible conduit networks either through analog templates (Pardo-Igúzquiza et al, 2012;Fournillon et al, 2012;Le Coz et al, 2017) or via the simulation (mimicking) of the action of speleogenetic processes considering pre-existing rock discontinuities (fractures, bedding planes, and inception horizons), e.g., Jaquet et al (2004), Borghi et al (2012), and de Rooij and Graham (2017). Other approaches strive to infer the spatial distribution of karst conduits through the inversion of multiple pumping test and/or tracer test data, also referred to as hydraulic or tracer tomography (Borghi et al, 2016;Mohammadi and Illman, 2019;Fischer et al, 2020). Regardless of the method pursued, any data describing the likely occurrence and location of karst conduits in the subsurface should be supplied to a given model.…”

Section: Introductionmentioning

confidence: 99%

Delineation of discrete conduit networks in karst aquifers via combined analysis of tracer tests and geophysical data

Bodin

Porel

Nauleau

et al. 2022

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Assessment of the karst network geometry based on field data is an important challenge in the accurate modeling of karst aquifers. In this study, we propose an integrated approach for the identification of effective three-dimensional (3D) discrete karst conduit networks conditioned on tracer tests and geophysical data. The procedure is threefold: (i) tracer breakthrough curves (BTCs) are processed via a regularized inversion procedure to determine the minimum number of distinct tracer flow paths between injection and monitoring points, (ii) available surface-based geophysical data and borehole-logging measurements are aggregated into a 3D proxy model of aquifer hydraulic properties, and (iii) single or multiple tracer flow paths are identified through the application of an alternative shortest path (SP) algorithm to the 3D proxy model. The capability of the proposed approach to adequately capture the geometrical structure of actual karst conduit systems mainly depends on the sensitivity of geophysical signals to karst features, whereas the relative completeness of the identified conduit network depends on the number and spatial configuration of tracer tests. The applicability of the proposed approach is illustrated through a case study at the Hydrogeological Experimental Site (HES) in Poitiers, France.

show abstract

Hydraulic tomography in coupled discrete-continuum concept to image hydraulic properties of a fractured and karstified aquifer (Lez aquifer, France)

Cited by 24 publications

References 29 publications

Delineation of discrete conduit networks in karst aquifers via combined analysis of tracer tests and geophysical data

Delineation of discrete conduit networks in karst aquifers via combined analysis of tracer tests and geophysical data

From Fluid Flow to Coupled Processes in Fractured Rock: Recent Advances and New Frontiers

Delineation of discrete conduit networks in karst aquifers via combined analysis of tracer tests and geophysical data

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