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基于BP神经网络的油气钻井成本预测 被引量:9
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作者 刘天时 赵越 马刚 《西安石油大学学报(自然科学版)》 CAS 北大核心 2010年第1期87-90,共4页
油气钻井成本是反映油田企业经济效益的重要指标.对钻井成本进行准确预测,有利于企业管理者和投资者进行科学的决策与评估.在对油气钻井成本影响因素进行分析的基础上,运用BP神经网络算法,建立了考虑成本因素之间相互关系的油气钻井成... 油气钻井成本是反映油田企业经济效益的重要指标.对钻井成本进行准确预测,有利于企业管理者和投资者进行科学的决策与评估.在对油气钻井成本影响因素进行分析的基础上,运用BP神经网络算法,建立了考虑成本因素之间相互关系的油气钻井成本神经网络预测模型,并结合中国石油某公司各区块钻井作业成本数据,将线性回归方法与神经网络方法进行对比,结果表明该模型具有较高的预测精度. 展开更多
关键词 成本预测 油气钻井成本 BP神经网络 线性回归
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贝叶斯正则化BP神经网络在油气钻井成本预测的应用 被引量:3
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作者 袁姝 胡宏涛 赵越 《软件导刊》 2010年第12期130-132,共3页
对反映油田绩效的油气钻井成本进行准确预测,有助于做出科学的决策和评估。为了解决在运用BP神经网络进行油气钻井成本预测过程中,油气钻井成本影响因子确定难以及标准BP神经网络泛化能力差的问题,建立了基于主分量分析的贝叶斯正则化... 对反映油田绩效的油气钻井成本进行准确预测,有助于做出科学的决策和评估。为了解决在运用BP神经网络进行油气钻井成本预测过程中,油气钻井成本影响因子确定难以及标准BP神经网络泛化能力差的问题,建立了基于主分量分析的贝叶斯正则化的BP神经网络油气钻井成本预测模型,并结合中国石油某公司各区块钻井成本数据,验证了该模型具有较高的预测精度及实用性。 展开更多
关键词 主分量分析 油气钻井成本预测 BP神经网络 贝叶斯正则化
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An Application of a Multi-Tier Data Warehouse in Oil and Gas Drilling Information Management 被引量:2
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作者 张宁生 王志伟 《Petroleum Science》 SCIE CAS CSCD 2004年第4期1-5,共5页
Expenditure on wells constitute a significant part of the operational costs for a petroleum enterprise, where most of the cost results from drilling. This has prompted drilling departments to continuously look for wa... Expenditure on wells constitute a significant part of the operational costs for a petroleum enterprise, where most of the cost results from drilling. This has prompted drilling departments to continuously look for ways to reduce their drilling costs and be as efficient as possible. A system called the Drilling Comprehensive Information Management and Application System (DCIMAS) is developed and presented here, with an aim at collecting, storing and making full use of the valuable well data and information relating to all drilling activities and operations. The DCIMAS comprises three main parts, including a data collection and transmission system, a data warehouse (DW) management system, and an integrated platform of core applications. With the support of the application platform, the DW management system is introduced, whereby the operation data are captured at well sites and transmitted electronically to a data warehouse via transmission equipment and ETL (extract, transformation and load) tools. With the high quality of the data guaranteed, our central task is to make the best use of the operation data and information for drilling analysis and to provide further information to guide later production stages. Applications have been developed and integrated on a uniform platform to interface directly with different layers of the multi-tier DW. Now, engineers in every department spend less time on data handling and more time on applying technology in their real work with the system. 展开更多
关键词 drilling information management multi-tier data warehouse information processing application system
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