Research Article
Prediction of the Control Effect of Fractured Leakage in Unconventional Reservoirs Using Machine Learning Method
Table 4
Some real cases of fracture leakage plugging in Carboniferous strata in Chepaizi block.
| | Parameter | Well | | A | B | C | D | E | F | G | I |
| | Leak rate (m3/h) | 36 | 8 | 20 | 32.4 | 25 | 20 | 32.4 | 7.2 | | Displacement (m3/h) | 40.8 | 30 | 50.4 | 32.4 | 30 | 50.4 | 32.4 | 40.8 | | Pumping pressure max (MPa) | 16 | 15 | 12 | 12 | 15 | 15 | 16 | 10 | | Concentration (%) | 36 | 6 | 10 | 22.50 | 20 | 30 | 10 | 10 | | Addition of KZ-3 (t) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | | Addition of KZ-4 (t) | 0 | 1.3 | 2 | 0 | 0 | 0 | 0 | 1 | | Addition of KZ-5 (t) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | | Addition of walnut shell (t) | 2 | 0.5 | 3 | 3 | 2 | 3 | 2 | 0 | | Amount of vermiculite (t) | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | | Amount of comprehensive plugging agent (t) | 0 | 0 | 2 | 3 | 3 | 2 | 2 | 0 | | Addition amount of LWD agent (t) | 2 | 0 | 0 | 3 | 0 | 3 | 0 | 0 | | Total addition (m3) | 11 | 30 | 60 | 40 | 30 | 30 | 60 | 30 | | Density (g▪cm3) | 1.21 | 1.1 | 1.22 | 1.14 | 1.21 | 1.22 | 1.13 | 1.14 | | Funnel viscosity (s) | 50 | 49 | 52 | 48 | 52 | 53 | 53 | 45 | | Actual blocking effect (%) | 100% | 65% | 100% | 70% | 90% | 80% | 95% | 90% | | ANN prediction (%) | 9 9.81% | 6 4.99% | 9 7.63% | 6 8.21% | 9 2.08% | 7 8.11% | 9 6.12% | 9 3.07% |
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