Directional hydrostratigraphic units simulation using MCP algorithm

Benoît, Nicolas; Marcotte, Denis; Boucher, Alexandre; D’Or, Dimitri; Bajc, Andy F.; Rezaee, Hassan

doi:10.1007/s00477-017-1506-9

Cited by 8 publications

(3 citation statements)

References 29 publications

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“…These shortages have become a problem for the agricultural activities and a major concern for the local conservation authorities. A few studies have been conducted recently with the objective to improve the understanding of the groundwater resource in the watershed and to provide the knowledge needed for informed decision making [29][30][31]. Concerned population and local experts were included in the various planning and elaboration processes, and one of the main output was the suggestion to shift gradually from surface to groundwater as a sustainable alternative for water intake and the protection of aquatic life [32].…”

Section: Study Areamentioning

confidence: 99%

Investigating Multilayer Aquifer Dynamics by Combining Geochemistry, Isotopes and Hydrogeological Context Analysis

Proteau-Bedard,

Baudron,

Benoit

et al. 2023

Hydrology

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Geochemical tracers have the potential to provide valuable insights for constructing conceptual models of groundwater flow, especially in complex geological contexts. Nevertheless, the reliability of tracer interpretation hinges on its integration into a robust geological framework. In our research, we concentrated on delineating the groundwater flow dynamics in the Innisfil Creek watershed, located in Ontario, Canada. We amalgamated extensive hydrogeological data derived from a comprehensive 3D geological model with the analysis of 61 groundwater samples, encompassing major ions, stable water isotopes, tritium, and radiocarbon. By seamlessly incorporating regional physiographic characteristics, flow pathways, and confinement attributes, we bolstered the efficiency of these tracers, resulting in several notable findings. Firstly, we identified prominent recharge and discharge zones within the watershed. Secondly, we observed the coexistence of relatively shallow and fast-flowing paths with deeper, slower-flowing channels, responsible for transporting groundwater from ancient glacial events. Thirdly, we determined that cation exchange stands as the predominant mechanism governing the geochemical evolution of contemporary water as it migrates toward confined aquifers situated at the base of the Quaternary sequence. Fourthly, we provided evidence of the mixing of modern, low-mineralized water originating from unconfined aquifer units with deep, highly mineralized water within soil–bedrock interface aquifers. These findings not only contribute significantly to the development a conceptual flow model for the sustainable management of groundwater in the Innisfil watershed, but also offer practical insights that hold relevance for analogous geological complexities encountered in other regions.

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Section: Study Areamentioning

confidence: 99%

Investigating Multilayer Aquifer Dynamics by Combining Geochemistry, Isotopes and Hydrogeological Context Analysis

Proteau-Bedard,

Baudron,

Benoit

et al. 2023

Hydrology

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“…Pixel based approaches, whether being based on variograms (Matheron et al, 1987), truncated Gaussian random fields and plurigaussian random fields (Beucher et al, 1993;Galli et al, 1994;Armstrong et al, 2011;Le Blévec et al, 2017, transiograms (Carle and Fogg, 1996), MCP (Allard et al, 2011;Sartore et al, 2016;Benoit et al, 2018b), are well known and relatively easy to handle. For these approaches, variogram and transiogram fitting is well understood and conditioning to well data is efficient, even for truncated Gaussian models (Marcotte and Allard, 2018).…”

Section: Introductionmentioning

confidence: 99%

Modeling and simulating depositional sequences using latent Gaussian random fields

Allard¹,

Fabbri²,

Gaetan³

2020

Preprint

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Simulating a depositional (or stratigraphic) sequence conditionally on borehole data is a long-standing problem in hydrogeology and in petroleum geostatistics. This paper presents a new rule-based approach for simulating depositional sequences of surfaces conditionally on lithofacies thickness data. The thickness of each layer is modeled by a transformed latent Gaussian random field allowing for null thickness thanks to a truncation process. Layers are sequentially stacked above each other following the regional stratigraphic sequence. By choosing adequately the variograms of these random fields, the simulated surfaces separating two layers can be continuous and smooth. Borehole information is often incomplete in the sense that it does not provide direct information as to the exact layer some observed thickness belongs to. The latent Gaussian model proposed in this paper offers a natural solution to this problem by means of a Bayesian setting with a Markov Chain Monte Carlo (MCMC) algorithm that can explore all possible configurations compatible with the data. The model and the associated MCMC algorithm are validated on synthetic data and then applied to a subsoil in the Venetian Plain with a moderately dense network of cored boreholes.

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“…Pixel based approaches, whether based on variograms (Matheron et al 1987), truncated Gaussian random fields and plurigaussian random fields (Beucher et al 1993;Galli et al 1994;Armstrong et al 2011;Le Blévec et al 2017;Le Blévec et al 2018), transiograms (Carle and Fogg 1996), or MCP (Allard et al 2011;Sartore et al 2016;Benoit et al 2018b), are well known and relatively easy to handle. For these approaches, variogram and transiogram fitting is well understood and conditioning to well data is efficient, even for truncated Gaussian models (Marcotte and Allard 2018).…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulating Depositional Sequences Using Latent Gaussian Random Fields

2020

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Simulating a depositional (or stratigraphic) sequence conditionally on borehole data is a long-standing problem in hydrogeology and in petroleum geostatistics. This paper presents a new rule-based approach for simulating depositional sequences of surfaces conditionally on lithofacies thickness data. The thickness of each layer is modeled by a transformed latent Gaussian random field allowing for null thickness thanks to a truncation process. Layers are sequentially stacked above each other following the regional stratigraphic sequence. By choosing adequately the variograms of these random fields, the simulated surfaces separating two layers can be continuous and smooth. Borehole information is often incomplete in the sense that it does not provide direct information about the exact layer that some observed thickness belongs to. The latent Gaussian model proposed in this paper offers a natural solution to this problem by means of a Bayesian setting with a Markov chain Monte Carlo (MCMC) algorithm that can explore all possible configurations that are compatible with the data. The model and the associated MCMC algorithm are validated on synthetic data and then applied to a subsoil in the Venetian Plain with a moderately dense network of cored boreholes.

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Directional hydrostratigraphic units simulation using MCP algorithm

Cited by 8 publications

References 29 publications

Investigating Multilayer Aquifer Dynamics by Combining Geochemistry, Isotopes and Hydrogeological Context Analysis

Investigating Multilayer Aquifer Dynamics by Combining Geochemistry, Isotopes and Hydrogeological Context Analysis

Modeling and simulating depositional sequences using latent Gaussian random fields

Modeling and Simulating Depositional Sequences Using Latent Gaussian Random Fields

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