计算机与现代化Issue(9)：15-19,24,6.DOI:10.3969/j.issn.1006-2475.2024.09.003
基于改进时序胶囊网络的油藏生产动态分析模型
Dynamic Analysis Model of Reservoir Production Based on Improved Time-series Capsule Network
摘要
Abstract
Many of China's main development blocks in oilfields have gradually entered a high water cut period,with complex underground oil reservoirs and progressively increasing water content,leading to a decline in oil production.Improving the accu-rate understanding of the current stage of oilfield development and production patterns is of significant importance for studying the dynamic changes in oilfield production and formulating oilfield development strategies.In view of the dynamic change law of oilfield production,this paper proposes a dynamic analysis model for reservoirs based on improved time-series capsule predic-tion method.Firstly,a bidirectional gated recurrent unit is applied to capture the timing features in the oilfield data to enhance the fitting ability of the model to timing information.Secondly,the primary temporal feature information is captured with a multi-headed attentional deep convolutional layer to efficiently extract long-range dependencies and complex feature representations of sequences.Finally,in the dynamic routing algorithm,attention mechanism is introduced to allow the higher-level capsules to better focus on important features,so as to improve the efficiency and accuracy of information transmission.To verify the validity of the model,the time-series data of the oil field is used as input to predict the daily oil production by improving the output of the capsule network model.The improved capsule network is compared with nine models such as ResNet,LeNet.The experimental results show that the improved capsule network has higher prediction accuracy,it can reach 94.5%.关键词
胶囊网络/双向门控循环单元/动态路由算法/多头注意力/时序预测/油藏分析模型Key words
capsule networks/bidirectional gated recurrent unit/dynamic routing algorithms/multi-headed attention/time-series forecasting/reservoir analysis model分类
信息技术与安全科学引用本文复制引用
张惠楠,张强,孙红霞..基于改进时序胶囊网络的油藏生产动态分析模型[J].计算机与现代化,2024,(9):15-19,24,6.基金项目
国家自然科学基金资助项目(42002138) （42002138）
黑龙江省自然科学基金资助项目(LH2022F008) （LH2022F008）
黑龙江省博士后专项(LBH-Q20077) （LBH-Q20077）
