Research Article

Predicting Heavy Oil Production by Hybrid Data-Driven Intelligent Models

Table 9

Production and influence factor data table (CSS).

Q(t) (m3) (%) (MPa)

194262184758383528.2965.84.87
327610319899179648.3167.25.23
275026265411088388.3565.35.26
288456276442889628.4762.55.28
255918245401591088.5263.25.35
293678276142291508.5750.15.36
203667188766792548.6960.85.42
178398165508491938.7161.75.34
167375154829790108.7356.54.88
212629197645389258.7978.36.65
224312211489686558.8079.16.31
171843165442882548.8378.46.11
159637168248681098.8478.76.12
200824213560877958.5278.66.23
219048233612984228.5778.56.55
209800226376185118.6578.26.83
225100239200087168.7578.16.92
215533223567288388.8381.66.76
213587200580694208.9281.26.69
206547191822294498.9581.46.85
185624224601894749.0180.96.53
245624224924195259.1380.96.42
223487173501695379.1980.66.58
174543178402195789.2480.86.32