| 基于钻井工艺过程的事故诊断智能分析模型研究 |
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| 引用本文： | 郭建明,王彦平.基于钻井工艺过程的事故诊断智能分析模型研究[J].西安石油大学学报(自然科学版),2012,27(3):50-53,4,3. |
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| 作者姓名： | 郭建明 王彦平 |
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| 作者单位： | 西安石油大学石油工程学院,陕西西安,710065 |
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| 基金项目： | 陕西省教育厅专项科研计划项目 |
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| 摘 要： | 由于钻井工程的复杂性和不确定性,简单依靠传统数学建模的方法很难完全描述和表征钻井过程.引入本体和贝叶斯网络等人工智能技术,探究了钻井事故诊断的理论和方法,解决和描述了钻井领域的非结构化问题,进而更好地指导实践.
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| 关 键 词： | 钻井工程 钻井事故诊断 智能模型 知识本体 贝叶斯网络 |
Research in intelligent analysis model for accident diagnosis based on drilling process |
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| GUO Jian-ming,WANG Yan-ping.Research in intelligent analysis model for accident diagnosis based on drilling process[J].Journal of Xian Shiyou University,2012,27(3):50-53,4,3. |
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| Authors: | GUO Jian-ming WANG Yan-ping |
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| Institution: | 1.College of Petroleum Engineering,Xi’an Shiyou University,Xi’an 710065,Shaanxi,China) |
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| Abstract: | Drilling engineering is a field with huge investment and high risk.There are complexity and uncertainty in drilling process,so it is difficult to describe and characterize the drilling process using conventional mathematical modeling methods.For this reason,artificial intelligence technologies-ontology and Bayesian network are introduced to study the theory and method of drilling accident diagnosis for solving and describe the unstructured problems and concepts in drilling process,and guiding practice further. |
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| Keywords: | drilling engineering drilling accident diagnosis intelligent model ontology Bayesian network |
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