[1]夏宏泉,张佳伟,刘素君,等.基于测井曲线和灰色关联度的楼探井区钻头选型方法[J].测井技术,2022,46(02):194-201.[doi:10.16489/j.issn.1004-1338.2022.02.012]
 XIA Hongquan,ZHANG Jiawei,LIU Sujun,et al.Drill Bit Selection Method in Loutan Well Area Based on Logging Curve and Grey Correlation[J].WELL LOGGING TECHNOLOGY,2022,46(02):194-201.[doi:10.16489/j.issn.1004-1338.2022.02.012]
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基于测井曲线和灰色关联度的楼探井区钻头选型方法()
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《测井技术》[ISSN:1004-1338/CN:61-1223/TE]

卷:
第46卷
期数:
2022年02期
页码:
194-201
栏目:
施工工艺
出版日期:
2022-05-01

文章信息/Info

Title:
Drill Bit Selection Method in Loutan Well Area Based on Logging Curve and Grey Correlation
文章编号:
1004-1338(2022)02-0194-08
作者:
夏宏泉1 张佳伟1 刘素君2 杨博仲2
(1.西南石油大学油气藏地质及开发工程国家重点实验室, 四川 成都 610500; 2.中国石油川庆钻探工程有限公司钻采工程技术研究院, 四川 成都 610500)
Author(s):
XIA Hongquan1 ZHANG Jiawei1 LIU Sujun2 YANG Bozhong2
(1. State Key Laboratory of Oil Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan 610500, China; 2. Drilling and Production Engineering Technology Research Institute, CNPC Chuanqing DrillingEngineering Company Limited, Chengdu, Sichuan 610500, China)
关键词:
钻头选型 灰色关联度 楼探井区 抗钻参数 测井资料
Keywords:
drill bit selection grey correlation Loutan well area anti-drilling parameters logging data
分类号:
P631.84
DOI:
10.16489/j.issn.1004-1338.2022.02.012
文献标志码:
A
摘要:
优选与地层抗钻特性相适应的钻头是提高钻井机械钻速的重要技术保证。在获知各厂家钻头结构特征的基础上精准优选钻头,不但要考虑不同埋深所对应的地质力学环境下地层的可钻性、研磨性、硬度和抗剪强度及其非均质各向异性等影响因素,而且要采用简捷合理的自动选型数学方法。为此,首先利用测井资料建立岩石抗压强度、抗剪强度、硬度、可钻性和研磨性等多个抗钻参数的连续剖面,并采用灰色关联主控变量分析法提取这些抗钻参数中的敏感参数,结合实际使用的高效钻头,建立与地层抗钻参数相匹配的钻头数据库及选型模式。然后,采用灰色关联法进行多口井钻井地质剖面的钻头类型自动优选,推荐适合钻井作业的有效钻头类型。将该技术应用于四川东部楼探井区的新井钻井实践中,提速效果明显,具有推广应用价值。
Abstract:
It is an important technical guarantee to improve the drilling speed of drilling machine to select the drill bit suitable for the anti-drilling characteristics of formation. On the basis of knowing the structural characteristics of the drill bits of various manufacturers, in order to accurately select the drill bits, not only the drillability, abrasiveness, hardness, shear strength and heterogeneity of the formation under the geomechanical environment corresponding to different buried depths should be considered, but also a simple and reasonable automatic selection mathematical methods should be adopted. To this end, first of all, the logging data is used to establish a continuous profile of multiple drilling parameters such as rock compressive strength, shear strength, hardness, drillability and abrasion. The sensitive parameters of these anti-drilling parameters are extracted by the grey correlation main control variable analysis method, and the drill bit database and selection mode matching the drilling parameters of the formation are established by combining with the actual use of efficient bit. Then, the grey correlation pattern recognition method is used to automatically select the drill bit type of the geological profile of the multi-well drilling, and the effective drill type suitable for the drilling operation is recommended. The technology has been applied to the drilling practice of new well in Loutan block in the east of Sichuan province, and the speed acceleration effect is obvious. The technology has the value of popularization and application.

参考文献/References:

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备注/Memo

备注/Memo:
基金项目: 中国石油川庆钻探工程有限公司科研型项目“川渝地区复杂超深井井深结构及轨迹优化研究”(CQ2019B-8-1-3)
第一作者: 夏宏泉,男,1965年生,教授,从事测井资料的岩石力学精细解释及应用研究。E-mail:hqx3427@126.com
通信作者: 张佳伟,男,1997年生,硕士研究生,从事测井资料的岩石力学精细解释及应用研究。E-mail:1006061357@qq.com
更新日期/Last Update: 1900-01-01