机译:将支持向量回归与遗传算法相结合,用于纯净和不纯净CO2流中的CO2油最小混溶压力(MMP)
Southwest Petr Univ, State Key Lab Oil & Gas Reservoir Geol & Exploit, Chengdu 610500, Peoples R China|Univ Lorraine, Ecole Natl Super Ind Chim, Lab React & Genie Proc, UMR 7274,CNRS, 1 Rue Grandville, F-54000 Nancy, France;
Southwest Petr Univ, State Key Lab Oil & Gas Reservoir Geol & Exploit, Chengdu 610500, Peoples R China;
Southwest Petr Univ, State Key Lab Oil & Gas Reservoir Geol & Exploit, Chengdu 610500, Peoples R China;
Univ Lorraine, Ecole Natl Super Ind Chim, Lab React & Genie Proc, UMR 7274,CNRS, 1 Rue Grandville, F-54000 Nancy, France;
China CNOOC Ltd Zhanjiang, Zhanjiang 524057, Peoples R China;
Minimum miscibility pressure; CO2; Genetic algorithm; Support vector regression; Correlation;
机译:纯净和不纯净CO2流中CO2油最小混溶压力的实验及相关性
机译:不纯和纯净CO2流的CO2油最小混溶压力模型
机译:精确测定纯净和纯净CO2流的CO2原油最小混溶压力:鲁棒建模方法
机译:基于遗传算法(GA)的相关性提供了储层油和二氧化碳或烟气之间的最小混溶性压力(MMP)的更可靠预测
机译:德克萨斯州法恩斯沃斯油田和俄克拉荷马州伯班克油田的二氧化碳混溶驱替最小混溶压力的实验评估
机译:在GWAS中使用支持向量回归和遗传算法选择SNP
机译:使用神经网络模拟提高CO2采收率(EOR)的CO2油最小混溶压力(MMP)