Risk assessment on groundwater contamination from hydraulic fracturing and delamination
Modelling hydraulic fracture growth and wellbore delamination
Dane Kasperczyk, James Kear & Raman Pandurangan August 2018
Risk assessment on groundwater contamination from hydraulic - - PowerPoint PPT Presentation
Risk assessment on groundwater contamination from hydraulic fracturing and delamination Modelling hydraulic fracture growth and wellbore delamination Dane Kasperczyk, James Kear & Raman Pandurangan August 2018 Content Quick
Dane Kasperczyk, James Kear & Raman Pandurangan August 2018
– Hydraulic fracturing – Wellbore delamination
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– Grows perpendicular to least stress direction
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– Delamination between cement and casing or cement and rock boundaries – Can contribute to loss of well integrity
CSIRO Laboratory experiments designed to validate the model of micro-annulus growth. (Bunger et al. 2010) Simple schematic of a vertical well injector (not to scale). (Lecampion et al. 2013) Not a typical CSG well.
– Not using an artificial worst case scenarios – Avoiding a specific historical data for one area – it works like this over in the USA it will work here too, trust us
– Very Low/Low/Medium/High/Very High
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– Height growth – Lateral growth
– Micro-annulus crack growth during hydraulic fracture (0-2hours) – Micro-annulus crack allowed to grow to surface after CSG
decommissioning (0-)
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– Hydraulic fracture extent – Wellbore delamination
– Wellbore delamination
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– No interface strength
– How long would it take? – How wide would the crack be?
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Schematic of a vertical well injector (not to scale). (Lecampion et al. 2013). Not a CSG well.
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0.25 0.5 0.75 1 1 2 3
Cumulative Probability Sum of flipping (1-2) Coin
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 2 4 6 8 10 12 14
Cumulative Probability Sum of 2 rolled dice
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 2 4 6 8 10 12 14
Probability Sum of rolled dice
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 2 4 6 8 10 12 14
Probability Sum of 2 rolled dice – 6 sides – unknown 1-6 numbers
– 6 sides with unknown
numbers?
– Unknown number of dice?
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– Probability that sum is 8 or
less is between 18% and 80%
– 95th percentile is between 9-
12
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Injection rate 𝑛3/min 𝑅 Minmaxmean (0.96, 3.2, 1.6) Viscosity of injected fluid (cp) 𝜈 Minmaxmean (200, 235, 230) Total injection time (min) 𝑢 Minmaxmean (20, 120, 30) Treatment efficiency 𝜃 Minmaxmean (0.3, 0.5, 0.4) Injection depth (m) 𝐸 Minmaxmean (400,700,520) Height of pay zone (m) ℎ𝑔 Minmax(40,70) Casing diameter (mm) 2𝑆1 140, 178 Well diameter (mm) 2𝑆3 200, 216
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Hydraulic fracture growth size at 99.9, 85th, 75th and 50th percentile
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Hydraulic fracture growth size at 99.9th and 50th percentile at whole of basin scale and specific scenario A with shorter injection time, lower injection rate.
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Micro-annulus crack length p- box in the Surat basin with a 178mm casing diameter.
Surat – 178mm Sydney – 140mm
50TH PERCENTILE
Min Max Uncertainty Min Max Uncertainty Length of Micro-annulus (crack) (m)
1 44 43 2 24 22
Fracture Opening (microns)
52 72 20 52 104 52
Fluid volume entering the micro-annulus during hydraulic fracturing (litres)
0.02 0.18 0.16 0.02 0.30 0.28
Micro-annulus crack length p- box in the Sydney basin with a 140mm casing diameter.
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Time for micro-annulus to reach Surface in the Surat basin.
Surat Basin Sydney Basin
50TH PERCENTILE Min Max Uncertainty Min Max Uncertainty
Time to reach the surface (days) 8 39 31 13 17 14 Fracture opening (µm) 20 32 12 32 35 03
Time for micro-annulus to reach Surface in the Sydney basin.
meters
combine this PBA model with a grid-based spatial method, to assess all subregions and their proximity to local aquifers.
conditions, these are probabilistic top down values across entire basin, hydraulic fracture operations are monitored and fracture growth is suspended or abandoned when conditions or pressures cannot be maintained in a well.
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Dane Kasperczyk Engineer t +61 3 9545 2411 e dane.kasperczyk@csiro.au w gisera.csiro.au