千禧福彩3d开机号今天:
[1]赵倩,杨斌,李星,等.基于图版法决策树在流体识别中的应用[J].测井技术,2018,42(06):641-646.[doi:10.16489/j.issn.1004-1338.2018.06.006]
 ZHAO Qian,YANG Bin,LI Xing,et al.Application of Cross-plot-based Decision Tree Template Method in Fluid Identification[J].WELL LOGGING TECHNOLOGY,2018,42(06):641-646.[doi:10.16489/j.issn.1004-1338.2018.06.006]
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基于图版法决策树在流体识别中的应用()
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《测井技术》[ISSN:1004-1338/CN:61-1223/TE]

卷:
第42卷
期数:
2018年06期
页码:
641-646
栏目:
处理解释
出版日期:
2018-12-31

文章信息/Info

Title:
Application of Cross-plot-based Decision Tree Template Method in Fluid Identification
文章编号:
1004-1338(2018)06-0641-06
作者:
赵倩杨斌李星王少龙魏杰
成都理工大学能源学院,四川成都610059
Author(s):
ZHAO QianYANG BinLI XingWANG ShaolongWEI Jie
Energy College, Chengdu University of Technology, Chengdu, Sichuan 610059, China
关键词:
测井解释流体识别交会图版决策树模型数据挖掘
Keywords:
log interpretation fluid identification cross-plot decision tree model data mining
分类号:
TE1122;P631.84
DOI:
10.16489/j.issn.1004-1338.2018.06.006
文献标志码:
A
摘要:
YD油田储层油气并存,受流体性质、储层物性、地层水矿化度高等因素影响,流体测井响应特征复杂。经过多次试验优选出7个测井及录井参数,建立了4个图版。通过图版选出的参数以及各类流体测井响应特征,利用决策树分析方法,优选出7个测井响应值作为流体的特征参数,建立流体识别决策树模型,模型的判别准确率达到94 32%。决策树方法有效解决了图版法存在的不确定性、多解性的问题,且能快速高效地处理大量数据。通过传统地球物理统计图版法与数据挖掘决策树法有效结合,提高了流体识别的准确率,对研究区下一步的精细油藏开发提供可靠的依据,拓展了数据挖掘在地球物理中的应用。
Abstract:
The reservoir characteristics of YD oilfield are the coexistence of oil and gas reservoirs. Due to factors such as fluid properties, reservoir physical properties and high formation water salinity, the log response characteristics of fluids are complex. After several experiments, seven well logging and mud logging parameters were selected, and four fluid identification templates were established. Based on the parameters selected by the template and the log response characteristics of different fluid type, the decision tree analysis method is used to optimize the log response values as the characteristic parameters of the fluid, and the fluid identification decision tree model is also established. The interpretation coincidence rate of the model reached 94 32%. This method effectively solves the problems of the template method, such as uncertainty and multiplicity, and can process large amounts of data quickly and efficiently. Through the effective combination of traditional geophysical statistical template method and data mining decision tree method, the accuracy of fluid identification is improved, which provides a reliable basis for the development of fine reservoirs in the next step of the study area and expands the applications of data mining in geophysics.

参考文献/References:

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备注/Memo

备注/Memo:
第一作者:赵倩,女,1994年生,硕士研究生,从事油气田开发地质、地球物理综合解释方面的研究工作。E-mail:[email protected] 通讯作者:杨斌,男,1967年生,博士,教授,从事油气田开发地质、地球物理综合解释方面的研究工作。E-mail:[email protected]
更新日期/Last Update: 2018-12-31