多属性融合技术预测薄互砂体储层厚度——以哈萨克斯坦W油田为例
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依尔繁·阿西木江, 卢志明, 艾尼·买买提, 米尔扎提·迪力木拉提, 多力坤·买买提明
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Prediction of thin interbedded sandstone reservoir thickness using multi-attribute fusion technology:A case study from the W oilfield,Kazakhstan
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Yierfan Aximujiang, LU Zhi-Ming, Aini Maimaiti, Mierzhati Dilimulati, Duolikun Maimaitiming
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表1 多属性融合砂体厚度预测误差分析
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Table 1 Error analysis of multi-attribute fusion sand body thickness prediction
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| 井名 | 钻遇厚度/m | 预测厚度/m | 误差/m | | W1 | 5.6 | 6.2 | 0.6 | | W107 | 4.0 | 3.4 | -0.6 | | W108 | 0 | 0.3 | 0.3 | | W111 | 2.3 | 3.5 | 1.2 | | W112 | 8.6 | 8.7 | 0.1 | | W13 | 14.5 | 12.4 | -2.1 | | W130 | 10.6 | 9.7 | -0.9 | | W15 | 12.1 | 10.2 | -1.9 | | W16 | 13.1 | 14.1 | 1.0 | | W18 | 5.2 | 6.5 | 1.3 | | W19 | 11.5 | 10.4 | -1.1 | | W205 | 3.5 | 5.1 | 1.6 | | W21 | 4.9 | 5.9 | 1.0 | | W216 | 8.6 | 9.6 | 1.0 | | W250 | 3.4 | 4.7 | 1.3 | | W26 | 8.1 | 9.9 | 1.8 | | W260 | 4.5 | 4.1 | -0.4 | | W27 | 8.1 | 6.5 | -1.6 | | W270 | 11.3 | 12.6 | 1.3 | | W271 | 16.1 | 14.3 | -1.8 | | W272 | 11.1 | 12.9 | 1.8 | | W273 | 10.2 | 11.9 | 1.7 | | W275 | 13.1 | 11.4 | -1.7 | | W28 | 6.2 | 6.6 | 0.4 | | W4 | 11.6 | 13.5 | 1.9 | | W41 | 5.5 | 7.1 | 1.6 | | W49 | 7.4 | 6.9 | -0.5 | | W57 | 7.3 | 6.2 | -1.1 | | W58 | 2.8 | 3.5 | 0.7 | | W6 | 5.5 | 5.0 | -0.5 | | W90 | 13.8 | 13.6 | -0.2 | | W96 | 13.2 | 11.8 | -1.4 |
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