[1]闫　铁　张书瑞　常　雷　毕雪亮.基于范例推理的钻井参数优化方法研究[J].复杂油气藏,2008,(04):49.
　Yan Tie,Zhang Shurui,Chang Lei,et al.An optimization method on drilling parameter based on case- based reasoning[J].Complex Hydrocarbon Reservoirs,2008,(04):49.
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基于范例推理的钻井参数优化方法研究
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《复杂油气藏》[ISSN:1674-4667/CN:31-2019/TQ]

卷:
期数:
2008年04期
页码:
49
栏目:
OA
出版日期:
2008-12-25

文章信息/Info

Title:
An optimization method on drilling parameter based on case- based reasoning
作者:
闫　铁1　张书瑞1; 2　常　雷3　毕雪亮1
1.大庆石油学院石油工程学院，黑龙江 大庆 163318；2.中国石油天然气集团公司大庆石油钻探工程公司钻井一公司，黑龙江 大庆 163012； 3.中国石油天然气股份有限公司大庆油田公司采油工程研究院，黑龙江 大庆 163001
Author(s):
Yan Tie1; Zhang Shurui1; 2 ;  Chang Lei3;  Bi Xueliang1
1.Petroleum Engineering Department, Daqing Petroleum Institute, Daqing,Heilongjiang 163318; 2.No.1 Drilling Company, Daqing Drilling and Exploraion Engineering Company,CNPC, Daqing,Heilongjiang 163012; 3. Production Engineering Research Institute, Daqing
关键词:
钻井参数优化; 钻井工程; 范例推理; 提高钻速; 范例库
Keywords:
drilling parameter optimization;  drilling engineering;  case-based reasoning ;  raising penetration speed;  the database
分类号:
TE21
文献标志码:
A
摘要:
针对钻井参数优化中存在的问题，为了充分利用钻井现场的大量有用信息，克服传统优化方法的局限性，提出一种基于范例推理的钻井参数优化新方法。该方法是首先建立钻井参数范例库，然后根据范例推理理论建立钻井参数优化模型，利用该模型通过对数据库的查询、检索及相似度计算等过程，从而实现钻井参数的实时优化。该方法的突出特点是通过基于范例推理的钻井参数优化方法研究将钻井工程与范例推理有机结合，对解决钻井工程领域不确定性问题提供一种有意义的尝试，使范例推理在具体的工程应用上向前迈进了一步，为钻井参数优化提供一种全新的研究方法。
Abstract:
An optimization method based on case-based reasoning is provided to solve the optimization problem in the engineering and conquer the limitation of the conventional method. Firstly, the database of drilling parameters of the natural gas wells in Daqing Xuqu is established. Secondly, the drilling parameters optimization model is set up according to the example reasoning theory. Finally, the drilling parameters optimization research is carried out to gain the material optimization results, which are carefully analyzed. The drilling parameters optimization method based on the example reasoning theory makes the drilling engineering and example reasoning integrate well. The method is a very meaningful attempt to solve the uncertainty in the drilling field, also, it makes the application of the example reasoning better and provides a bran-new research method to optimize the drilling parameters. The drilling parameters optimization has significant meaning in the academic study and engineering application.

参考文献/References:

1　闫铁，刘春天, 毕雪亮等. 人工神经网络在大庆深井钻头优选中的应用[J].石油学报，2002，23（4）:102～105
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备注/Memo

备注/Memo:
收稿日期：2008-10-13；改回日期：2008-10-30
作者简介：闫铁（1957—），教授、博士生导师，2001年获哈尔滨工业大学工程力学博士学位，现主要从事油气井工程力学等方面的教学和研究工作。电话：0459-6503923，E-mail：yant@dqpi.edu.cn。 基金项目：黑龙江省自然科学基金资助项目（E0503）
更新日期/Last Update: 2008-12-25