Research Article
Predicting Heavy Oil Production by Hybrid Data-Driven Intelligent Models
Table 7
Production association rule results of SAGD.
| Influence factor | Association rule | Confidence |
| Steam injection volume | forzenset({“101”})-->forzenset({“1”}) | 0.748 | Steam injection pressure | forzenset({“101”})-->forzenset({“5”}) | 0.522 | Steam injection temperature | forzenset({“101”})-->forzenset({“9”}) | 0.587 | Steam injection dryness | forzenset({“101”})-->forzenset({“13”}) | 0.593 | Interlayer | forzenset({“101”})-->forzenset({“20”}) | 0.474 | Crude oil viscosity | forzenset({“101”})-->forzenset({“24”}) | 0.498 | Oil well opening times | forzenset({“101”})-->forzenset({“26”}) | 0.693 | Oil saturation | forzenset({“101”})-->forzenset({“29”}) | 0.411 | Permeability | forzenset({“101”})-->forzenset({“33”}) | 0.405 | Porosity | forzenset({“101”})-->forzenset({“37”}) | 0.393 | Reservoir temperature | forzenset({“101”})-->forzenset({“42”}) | 0.498 | Reservoir pressure | forzenset({“101”})-->forzenset({“45”}) | 0.457 | Reservoir thickness | forzenset({“101”})-->forzenset({“49”}) | 0.493 |
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