New proxy models for predicting oil recovery factor in waterflooded heterogeneous reservoirs
نویسندگان
چکیده
Abstract To predict the recovery factor (RF) in waterflooded layered oil reservoirs, two empirical relationships were derived. Both correlations use four independent variables. These are reservoir heterogeneity (characterized by permeability variation coefficient), anisotropy (ratio of vertical to horizontal permeability), viscosity injected water, and water injection rate. One estimates RF at breakthrough time (RF BT ) other evaluates end project EOP ). Each correlation comes an expanded form with more parameters a reduced fewer parameters. models based on global linear model. Eclipse black-oil simulation was used determine for generic reservoirs different combinations variation, anisotropy, viscosities, rates. A total 192 data sets have been generated. Out these, 144 (about 75% generated sets) model development 48 25% testing validation. The forms new developed gave reliable absolute average percent difference (AAPCD) 6.9 1.02, respectively. yielded slightly higher AAPCDs 8.30 1.04, When tested against simulation-generated sets, excellent fits 14 6.5, showed comparable fit 16.9 6.70, highest 50.6% achieved V = 0.1 k z /k x 1.0. This particular needs be using µ w 1.0 cp rate q i 10,000 bpd. Finally, when Guthrie–Greenberger API statistical study, single field set, proposed 22.9 22.7 compared 0.758 19.2
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ژورنال
عنوان ژورنال: Journal of Petroleum Exploration and Production Technology
سال: 2021
ISSN: ['2190-0566', '2190-0558']
DOI: https://doi.org/10.1007/s13202-021-01095-4