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A1 Modeling of tracer transport in Reykjanes Jean Claude Berthet
1. Modeling of tracer transport in
Reykjanes
Jean-Claude Berthet, Hilmar Már Einarsson, Andri Arnaldsson
2. 2016-11-24www.vatnaskil.is - Reykjanes tracer modeling
• Four tracers injected in Reykjanes, in:
RN-20B, RN-33, RN-34 and RN-29
• Tracers reveal flow paths and fractures
• Does the injected water flow straight
into the production zone?
‒ Important to be able to predict thermal
breakthrough
• Naphthalenesulfonates
‒ Relatively stable at 300 °C
‒ Low detection limit
‒ Measured by High Performance Liquid
Chromatography
Tracer test in Reykjanes
2
• RN-33
‒ 150 kg of 2-NS on 2014-01-10
‒ 55 kg/s of cold water for 6 months
‒ Strongest response in RN-18, RN-21 and
RN-24
• 2-naphthalenesulfonic acid
3. www.vatnaskil.is - Reykjanes tracer modeling
• Model includes all three geothermal areas:
o Reykjanes
o Eldvörp
o Svartsengi
• 1102 km²
• 15 layers: +0 to -3400 m A.S.L.
• 33345 elements, 2223 per layer.
• 7000 m² around Reykjanes, hexagonal mesh,
88 m between adjacent nodes.
Reykjanes–Svartsengi model
2016-11-24 3
4. www.vatnaskil.is - Reykjanes tracer modeling
• ITOUGH2 equation of state 1 (EOS1)
‒ Water and water with tracer
• Mesh refined along fracture
‒ 88 m to 35 m between nodes
• Calibration performed using a submesh
‒ 2.5×4.5 km²
• The fracture is simulated by a line of
elements.
• The elements inside the fracture have
higher permeabilities and lower porosity
than in the surrounding rock.
‒ Permeability inside the fracture ~ 10-12 m²
(outside 10-15 m² to 10-12 m²)
‒ Porosity inside the fracture ~ 2% (outside
10% to 15%)
Hexagonal mesh
2016-11-24 4
7. 2016-11-24www.vatnaskil.is - Reykjanes tracer modeling
Measured Analytical ITOUGH2
Breakthrough
time, [days]
64 57 60
Peak time, [days] 218 203 198
Peak
concentration,
[µg/L]
14.0 14.0 15.0
Mass recovery,
[Mm/Mi]
6.5% 6.7% 6.5%
2-NS in RN-18
7
8. 2016-11-24www.vatnaskil.is - Reykjanes tracer modeling
Measured Analytical ITOUGH2
Breakthrough
time, [days]
77 71 75
Peak time, [days] 293 225 235
Peak
concentration,
[µg/L]
6.2 5.3 6.4
Mass recovery,
[Mm/Mi]
2.6% 3.1% 2.2%
2-NS in RN-21
8
9. 2016-11-24www.vatnaskil.is - Reykjanes tracer modeling
Measured Analytical ITOUGH2
Breakthrough
time, [days]
84 78 78
Peak time, [days] 279 280 235
Peak
concentration,
[µg/L]
6.1 5.4 6.0
Mass recovery,
[Mm/Mi]
4.5% 2.8% 4.1%
2-NS in RN-24
9
10. 2016-11-24www.vatnaskil.is - Reykjanes tracer modeling
• Calibration of the tracer injected in
RN-20B
‒ 2,7-NDS
• Injection scenarios to predict the long
term effect of injection:
‒ Pressure
‒ Temperature
‒ Flow rate
‒ Steam.
Future work and work in progress
10
2,7-NDS in RN-19
Editor's Notes
Four tracers injected in different wells. The tracers are relatively stable at 300 °C. Easy to detect by spectroscopy.
Tracers reveal flow paths not seen by pressure calibration. Is the injected water flowing straight into the production zone, or is it pushing the water between toward the production zone?
Important to be able to predict the effect of injection on the temperature.
Large model. Simulating 45 years (1970-2015) takes around an half-hour. With tracer, number of equations to solve +50%. Two ways: keep coarse mesh. dual porosity, double mesh (one for fracture, one for flow through rock matrix). Second option: model fracture explicitly, needs finer mesh.
No physical dispersion, only numerical dispersion. No absortion in Tough2. In analytical solution this is accounted for by adding a second peak. Focus was on the breakthrough time, peak time, mass recovery.