录井资料处理与模式识别技术在长庆油田录井解释评价中的应用

doi:10.3969/j.issn.1672-9803.2022.04.014

摘要/Abstract

摘要： 为了提高录井资料的应用价值,尝试利用录井智能解释软件对多项录井资料进行标准化、数字化处理,然后进行敏感参数提取,并利用模式识别技术充分挖掘新解释方法。基于该思路,阐述了多种资料处理技术,包括保留时间校正技术、指纹对别技术、谱图重构技术、敏感参数提取技术,并详细介绍了实现过程。利用多种模式识别技术所建立的新解释方法,包括相似度分析、多元统计分析等,在长庆油田后期生产中均取得了较好的应用效果,对录井技术创新发展有一定的借鉴意义。

关键词: 录井资料, 保留时间, 指纹对别, 谱图重构, 敏感参数, 相似度分析, 聚类分析, 主成分分析

Abstract: To improve the application value of mud logging data, this paper tries to use mud logging intelligent interpretation software to standardize and digitize multiple mud logging data, then extracts sensitive parameters, and uses pattern recognition technology to fully mine new interpretation methods. Based on this idea, multiple data processing techniques consisted of retention time correction, fingerprint contrast and discrimination, spectrogram reconstruction and sensitive parameter extraction are expounded, and the implementation process is introduced in detail. The multiple pattern recognition technologies are used to establish similarity analysis, multivariate statistical analysis and other new interpretation methods. In Changqing Oilfield, good application effect has been achieved in later stage of production, which has certain reference significance for the innovation and development of mud logging technology.

Key words: mud logging data, retention time, fingerprint contrast and discrimination, spectrogram reconstruction, sensitive parameter, similarity analysis, cluster analysis, principle component analysis

中图分类号:

TE132.1

刘涛, 乔德民, 晏巍, 刘永炜, 方铁园, 王海涛. 录井资料处理与模式识别技术在长庆油田录井解释评价中的应用[J]. 录井工程, 2022, 33(4): 84-91.

LIU Tao, QIAO Demin, YAN Wei, LIU Yongwei, FANG Tieyuan, WANG Haitao. Application of mud logging data processing and pattern recognition technology in mud logging interpretation and evaluation of Changqing Oilfield[J]. Mud Logging Engineering, 2022, 33(4): 84-91.

参考文献

[1] 姜革. 保留时间锁定程序在轻烃定性分析中的应用[J]. 西部探矿工程,2021,33(7):47-49.
JIANG Ge.Application of retention time locking program in qualitative analysis of light hydrocarbons[J]. West-China Exploration Engineering,2021,33(7):47-49.
[2] 陈红梅. 辽河油田历年地质录井资料数字化录入的规范管理与实施[J]. 录井工程,2007,18(3):38-40,48.
CHEN Hongmei.Standardized management and implementation of digital entry of geological logging data over the years in Liaohe Oilfield[J]. Mud Logging Engineering,2007,18(3):38-40,48.
[3] 杜红,刘强国.统计模式识别方法在录井油气评价中的应用[J]. 长江大学学报(自科版),2006,3(3):66-68.
DU Hong, LIU Qiangguo.Application of statistical pattern recognition method in mud logging oil and gas evaluation[J]. Journal of Yangtze University(Nat Sci Edit), 2006,3(3):66-68.
[4] 许雪荷. 我国工业互联网技术路线与发展趋势研究[J]. 中国工业和信息化,2021(4):58-64.
XU Xuehe.Research on technical line and development trend of Industrial Internet technology in China[J]. China Industry & Information Technology, 2021(4):58-64.
[5] 何兵,田吉,杨世艳.一种新的校正方式单点校正在桑叶一测多评中的应用[J]. 药物分析杂志,2021,41(7):1133-1147.
HE Bing, TIAN Ji, YANG Shiyan.Application of a new single-point correction method in QAMS of Mori Folium[J]. Chinese Journal of Pharmaceutical Analysis,2021,41(7):1133-1147.
[6] 荆文明,方铁园,田青青,等.热解气相色谱录井技术在储集层流体性质识别中的应用[J]. 录井工程,2020,31(3):94-98.
JING Wenming, FANG Tieyuan, TIAN Qingging, et al.Application of pyrolysis gas chromatography logging technology in reservoir fluid property identification[J]. Mud Logging Engineering,2020,31(3):94-98.
[7] 黄亚璇,杨永强,李涛涛,等.轻烃分析技术在储层评价中的应用研究[J]. 录井工程,2021,32(3):76-79.
HUANG Yaxuan, YANG Yongqiang, LI Taotao.Research on the application of light hydrocarbon analysis technology in reservoir evaluation[J]. Mud Logging Engineering,2021,32(3):76-79.
[8] 柴逸峰,罗国安,乔善磊,等.中药色谱指纹图谱相似度计算中保留时间校正方法的研究[J]. 分析化学,2005,33(11):1599-1602.
CHAI Yifeng, LUO Guo'an, QIAO Shanlei, et al. Retention time correction method in the similarity calculation of the chromatographic fingerprints of traditional Chinese medicine[J]. Chinese Journal of Analytical Chemistry,2005,33(11):1599-1602.
[9] 宋明会. 核磁共振录井可动流体t₂截止值确定方法[J]. 录井工程,2007,18(3):5-8.
SONG Minghui.Determination method of t₂ cutoff value of movable fluid in NMR logging[J]. Mud Logging Engineering,2007,18(3):5-8.
[10] 孙林,陈雨生,徐久成.基于改进ReliefF的多标记特征选择算法[J]. 山东大学学报(理学版),2022,57(4):1-11.
SUN Lin, CHEN Yusheng, XU Jiucheng.Multilabel feature selection algorithm based on improved ReliefF[J]. Journal of Shandong University(Natural Science),2022,57(4):1-11.
[11] 苏保中. 数学的认知方式:模式识别[J]. 新课程(中),2018(1):14-15.
SU Baozhong.The cognitive style of mathematics: Pattern recognition[J]. New Curriculum (Middle),2018(1):14-15.
[12] 钟志华,招欣.论数学中的模式识别方法[J]. 曲阜师范大学学报,2013,39(3):121-124.
ZHONG Zhihua, ZHAO Xin.The method of pattern recognition in mathematics learning[J]. Journal of Qufu Normal University, 2013,39(3):121-124.
[13] 邱丽媛,梁泽华,吴鑫雨,等.基于模式识别和遗传神经网络算法的醋香附近红外光谱等级评价和含量预测模型研究[J]. 中草药,2021,52(13):3818-3830.
QIU Liyuan, LIANG Zehua, WU Xinyu, et al.Study on near infrared spectrum grade evaluation and content prediction model of vinegar-processed Cyperi Rhizoma based on pattern recognition and GA-BPNN[J]. Chinese Traditional and Herbal Drugs, 2021,52(13):3818-3830.
[14] 李成成,苑楠楠,白桦芳,等.基于HPLC指纹图谱和网络药理学的消炎退热颗粒质量标志物(Q-Marker)预测[J]. 中草药,2021,52(13):3885-3895.
LI Chengcheng, YUAN Nannan, BAI Huafang, et al.Prediction of quality markers for Xiaoyan Tuire Granules based on HPLC fingerprint and network pharmacology[J]. Chinese Traditional and Herbal Drugs,2021,52(13):3885-3895.
[15] 孙立丽,王萌,任晓亮.化学模式识别方法在中药质量控制研究中的应用进展[J]. 中草药,2017,48(20):4339-4345.
SUN Lili, WANG Meng, REN Xiaoliang.Application progress on chemical pattern recognition in quality control of Chinese materia medica[J]. Chinese Traditional and Herbal Drugs,2017,48(20):4339-4345.
[16] 罗利,姚声贤,任兴国,等. 神经网络及模式识别技术在测井解释中的应用[J]. 测井技术,2002,26(5):364-368.
LUO Li, YAO Shengxian, REN Xingguo, et al.Applications of numerical calculation and model identification technology based on neural network in log interpretation[J]. Well Logging Technology,2002,26(5):364-368.

相关文章 15

[1]	温海涛, 郭明宇, 阚留杰, 苑仁国, 王建立. 元素特征组合法在BZ凝析气田开发井潜山界面预警中的应用[J]. 录井工程, 2023, 34(1): 29-34.
[2]	郑卓, 王建立, 夏良冰, 刘广明, 张弘. 基于高斯混合模型聚类分析的解释方法在埕北油田气顶区混合油气层的应用[J]. 录井工程, 2022, 33(3): 73-77.
[3]	刘永华, 倪朋勃, 黄小刚. 录井资料在西湖凹陷始新统平湖组气层评价中的应用[J]. 录井工程, 2022, 33(3): 49-54.
[4]	李战奎, 刘广明, 郭明宇, 苑仁国, 刘松宇, 戴珩. 基于实时录井资料提高录井解释符合率的研究及应用[J]. 录井工程, 2021, 32(4): 59-65.
[5]	谭伟雄, 尚锁贵, 马金鑫, 郭明宇, 李戈东, 徐昱. 录井资料在渤海探区钻井工程中的应用研究进展[J]. 录井工程, 2021, 32(4): 13-17.
[6]	王超, 周伟军, 张方贵, 彭立才, 贺震. 新疆玛湖凹陷区气测解释方法研究[J]. 录井工程, 2021, 32(3): 63-68.
[7]	黄亚璇, 杨永强, 李涛涛, 黄子舰, 刘波, 方铁园. 轻烃分析技术在储层评价中的应用研究[J]. 录井工程, 2021, 32(3): 76-79.
[8]	郭明宇, 姬建飞. 渤海太古界变质岩潜山裂缝型储集层随钻评价方法[J]. 录井工程, 2021, 32(2): 83-89.
[9]	侯力虎, 徐声驰, 刘志, 邹先锋, 罗宏斌, 冯志清, 甘新科, 吉军. 基于录井资料的页岩油随钻储集层评价技术[J]. 录井工程, 2021, 32(2): 45-49.
[10]	张骏, 薛晓军, 李建成, 王洪亮, 王国瓦, 魏拓, 刘媛. 库车坳陷克深地区白垩系气测解释新图板研究与应用[J]. 录井工程, 2019, 30(4): 91-95.
[11]	桑月浦, 王道伟, 董峰, 刘世杰, 刘晓亮. 主成分分析在地化录井储集层流体识别中的应用[J]. 录井工程, 2018, 29(2): 70-73.
[12]	刘晓亮, 邱风, 范晓军, 肖琼, 蒋丽君, 刘雪申, 杨雷, 万安强, 刘淑英. 基于主成分分析的欧氏距离排序法构建新型气测录井解释图板[J]. 录井工程, 2018, 29(1): 53-58.
[13]	杨光照,王研,王洪伟 . 多井型录井资料对比系统[J]. 录井工程, 2017, 28(04): 89-92.
[14]	刘晓亮 . 基于主成分分析的马氏距离判别法识别储集层流体性质 [J]. 录井工程, 2017, 28(01): 43-48.
[15]	隋泽栋陈向辉周杰郑以华董彪龚吉轩. 玛湖油田气测和岩石热解录井敏感参数研究及应用[J]. 录井工程, 2017, 28(01): 12-16.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed