[1]彭烈新,刘珂,高文凯,等.基于随钻电阻率成像测井的数据压缩方法[J].测井技术,2020,(03):241-244.[doi:10.16489/j.issn.1004-1338.2020.03.005]
 PENG Liexin,LIU Ke,GAO Wenkai,et al.Data Compression Method Based on Resistivity Imaging Logging While Drilling[J].WELL LOGGING TECHNOLOGY,2020,(03):241-244.[doi:10.16489/j.issn.1004-1338.2020.03.005]
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基于随钻电阻率成像测井的数据压缩方法()
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《测井技术》[ISSN:1004-1338/CN:61-1223/TE]

卷:
期数:
2020年03期
页码:
241-244
栏目:
资料处理
出版日期:
2020-05-15

文章信息/Info

Title:
Data Compression Method Based on Resistivity Imaging Logging While Drilling
文章编号:
1004-1338(2020)03-0241-04
作者:
彭烈新 刘珂 高文凯 毛伟民 贾衡天 王鹏
(中国石油集团工程技术研究院有限公司, 北京 102206)
Author(s):
PENG Liexin LIU Ke GAO Wenkai MAO Weimin JIA Hengtian WANG Peng
(CNPC Engineering Technology R&D Company Limited, Beijing 102206, China)
关键词:
随钻成像测井 小波变换 嵌入式零树编码 多级树集合分裂编码 数据压缩
Keywords:
imaging logging while drilling wavelet transform embedded zerotree coding multilevel tree set splitting coding data compression
分类号:
P631.84
DOI:
10.16489/j.issn.1004-1338.2020.03.005
文献标志码:
A
摘要:
随钻测井作业与钻井作业同步进行,在钻井液滤液还未侵入地层或者侵入井壁很浅时获得测井资料,能准确反映原状地层特征,油气储量评价准确。图像压缩是随钻电阻率测井实时成像的关键技术,通过分析多种图像压缩方法,发现小波编码适合随钻电阻率成像测井,在此基础上,分析嵌入式零树编码和多级树集合分裂编码2种小波变换算法,进行Matlab仿真。多级树集合分裂编码方法在50倍压缩率条件下,能够保持较高的图像质量,可满足随钻电阻率测井实时成像数据压缩需要。
Abstract:
Logging while drilling and drilling operations are carried out simultaneously, logging data are obtained when the formation has not be invaded by the mud or the borehole wall invasion is shallow, which can accurately reflect the characteristics of virgin zone and accurately evaluate oil and gas reserves. Imaging data compression is the key technology of resistivity imaging logging while drilling. Analyzing various imaging data compression methods, it is found that wavelet coding is suitable for resistivity logging while drilling. Two wavelet transformation of embedded zero-tree coding and multi-level tree set splitting coding are analyzed and simulated in detail. The results show that the multi-level tree set splitting coding method can maintain high image quality under the condition of 50 times compression rate, which is suitable for real-time imaging data compression of resistivity logging while drilling.

参考文献/References:

[1] BORGHI M, PIANI E, BARBIERI E, et al. New logging-while-drilling azimuthal resistivity and high resolution imaging in slim holes [C]∥Offshore Mediterranean Conference and Exhibition. Ravenna, Italy: 2011, March: 23-25.
[2] 贾文玉. 成像测井技术与应用 [M]. 北京: 石油工业出版社, 2000.
[3] 伞兴. 静态图像压缩方法研究 [D]. 合肥: 中国科学技术大学, 2007: 11-15.
[4] 孙日明. 几种图形图像压缩方法 [D]. 大连: 大连理工大学, 2013: 4-6.
[5] LU G. Fractal image compression [J]. Signal Processing: Image Communication, 1993, 5(4): 327-343.
[6] 马大玮. 小波图像压缩编码算法及应用研究 [D]. 重庆: 重庆大学, 2002: 7-11.

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备注/Memo

备注/Memo:
(修改回稿日期: 2020-04-09 本文编辑 杜雪威)基金项目: 中国石油天然气集团公司重大工程关键技术装备研究与应用专项二期课题“近钻头伽马电阻率成像随钻测井系统研发”(2018E-2107); 中国石油集团工程院重点支持课题“全旋转钻头指向式导向工具研制”(CEPT201801) 第一作者: 彭烈新,男,1968年生,博士后,高级工程师,从事随钻测量和导向工具研究。E-mail:plxhb@163.com
更新日期/Last Update: 2020-05-15