A Method to Represent a Well in a Three‐Dimensional Discrete Fracture Network Model

Journal Article · Thu Jul 30 00:00:00 EDT 2020 · Ground Water

DOI:https://doi.org/10.1111/gwat.13030· OSTI ID:1644217

Pham, Hai ; Parashar, Rishi ^[1]; Sund, Nicole ^[1]; Pohlmann, Karl ^[2]

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1. Division of Hydrologic Sciences Desert Research Institute, 2215 Raggio Parkway Reno NV 89512
2. Division of Hydrologic Sciences Desert Research Institute, 755 E. Flamingo Road Las Vegas NV 89119

Abstract In discrete fracture network (DFN) modeling, fractures are randomly generated and placed in the model domain. The rock matrix is considered impermeable. Small fractures and isolated fractures are often ignored to reduce computational expense. As a result, the rock matrix between fractures could be large and intersections may not be found between a well introduced in the model and the hydraulically connected fracture networks (fracture backbones). To overcome this issue, this study developed a method to conceptualize a well in a three‐dimensional (3D) DFN using two orthogonal rectangular fractures oriented along the well's axis. Six parameters were introduced to parameterize the well screen and skin zone, and to control the connectivity between the well and the fracture backbones. The two orthogonal fractures were discretized using a high‐resolution mesh to improve the quality of flow and transport simulations around and along the well. The method was successfully implemented within dfnWorks 2.0 (Hyman et al. 2015) to incorporate a well in a 3D DFN and to track particles leaving an injection well and migrating to a pumping well. Verification of the method against MODFLOW/MODPATH found a perfect match in simulated hydraulic head and particle tracking. Using three examples, the study showed that the method ensured the connectivity between wells and fracture backbones, and honored the physical processes of flow and transport along and around wells in DFNs. Recommendations are given for estimating the values of the six introduced well parameters in a real‐world case study.

• Sponsoring Organization: USDOE
• Grant/Contract Number: DE‐NA‐0003590; DE‐NA‐0000939
• OSTI ID: 1644217
• Journal Information: Ground Water, Journal Name: Ground Water Vol. 59 Journal Issue: 2; ISSN 0017-467X
• Publisher: Wiley-Blackwell
• Country of Publication: United States
• Language: English