Comparison of Hydraulic and Tracer Tomography for Discrete Fracture Network Inversion
Abstract
:1. Introduction
2. Methodology
2.1. DFN Case Study
2.2. Transdimensional Inversion
2.3. Estimation of the Noise Variance
3. Results
3.1. Results of the DFN Inversion
3.2. Results Estimating the Noise Variance
4. Discussion and Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Category | Parameter | Fracture Set #1 | Fracture Set #2 |
---|---|---|---|
Geometric constraints | Fracture inclination (°) | −19.48 | 74.48 |
Fracture aperture (mm) | 1.5 | 1 | |
FLD-mean (m) | 9.9 | ||
FLD-variance m2 | 8.5 | ||
Experimental parameter settings | Injection pressure (Pa) | 3 × 105 | |
Injection concentration (mg/l) | 40 | ||
Inversion parameter settings | Discretization length (m) | 1 | |
0.4/0.4/0.2 | |||
Number of rjMCMC iterations | 100,000 |
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Ringel, L.M.; Somogyvári, M.; Jalali, M.; Bayer, P. Comparison of Hydraulic and Tracer Tomography for Discrete Fracture Network Inversion. Geosciences 2019, 9, 274. https://doi.org/10.3390/geosciences9060274
Ringel LM, Somogyvári M, Jalali M, Bayer P. Comparison of Hydraulic and Tracer Tomography for Discrete Fracture Network Inversion. Geosciences. 2019; 9(6):274. https://doi.org/10.3390/geosciences9060274
Chicago/Turabian StyleRingel, Lisa Maria, Márk Somogyvári, Mohammadreza Jalali, and Peter Bayer. 2019. "Comparison of Hydraulic and Tracer Tomography for Discrete Fracture Network Inversion" Geosciences 9, no. 6: 274. https://doi.org/10.3390/geosciences9060274