Communication Dans Un Congrès Année : 2025

Constraining Discrete Fracture Network (DFN) Model with Observed In-situ Flow Rates: A Poisoonian Approach for Improving Flow Predictions

Résumé

Geological fractures and fault zones play a critical role in groundwater management, energy extraction and subsurface storage of anthropogenic waste. The discrete fracture network (DFN) model has experienced substantial development in the past decades, as it explicitly represents individual fractures, which leads to a more robust prediction of flow and transport compared to classical continuum models. However, the practical challenges of acquiring the tailored characteristics of fractures from the field greatly limit the applicability of DFN models constrained by in-situ observations. Building on extensive prior studies of the crystalline Plœmeur site in Brittany, France (measurements on core samples, geophysical measurements, well logs, and flow and tracer tests at various scales), our study develops a 3-D DFN model that describe the local fracture networks and assist in better understanding their hydraulic behaviors. This study focuses on using the classic Poissonian approach in the DFN model. The model development consists of two stages: the first stage aims to generate stochastic fractures with estimated parameters based on the statistical analysis from the field, whereas the second stage focuses on conditioning the transmissivity of fractures by matching observations from in-situ single-borehole pumping tests. The model is developed by replicating the test across nearby boreholes, and the simulated flow rates present strong agreement with field measurements. This constrained model can serve as a groundwork to support multidisciplinary studies at Plœmeur and bridge the broader applicability of the DFN model in real-world scenarios.

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Dates et versions

insu-05455621 , version 1 (13-01-2026)

Identifiants

  • HAL Id : insu-05455621 , version 1

Citer

Yanqiu Miranda Xiao, Caroline Darcel, Quentin Courtois, Philippe Davy, Olivier Bour, et al.. Constraining Discrete Fracture Network (DFN) Model with Observed In-situ Flow Rates: A Poisoonian Approach for Improving Flow Predictions. American Geophysical Union 2025 (AGU25), American Geophysical Union, Dec 2025, New Orleans, United States. pp.H44D-04. ⟨insu-05455621⟩
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