机译:使用生产力,软计算和群体智能模型预测横向储层水平气井生产下降的预测
School of Energy Resources China University of Geosciences (Beijing) 100083Beijing China.;
School of Energy Resources China University of Geosciences (Beijing) 100083Beijing China.;
Department of Geomatic Engineering Faculty of Mineral Re- source Technology University of Mines and Technology Tarkwa Western Region Ghana.;
Backpropagation artificial neural network; Radial basis function neural network; Generalized regression neural network; Particle swarm optimization; Decline curve analysis; Inflow and tubing performance relations.;
机译:使用生产力,软计算和群体智能模型预测横向储层水平气井生产下降的预测
机译:非常规油藏产量下降的建模方法
机译:在非传统气体储层中调查液体液体水平井的压力特性和生产性能
机译:利用改进的下降曲线模型在非传统水库中生产预测
机译:使用拒绝分析和型曲线的三种非传统石油和天然气储层的历史匹配和预测
机译:温度相关吸附模型在非常规气藏物质平衡计算中的应用
机译:扩展指数生产下降模型在页岩气储层产量预测中的应用