Volume 46 Issue 6
Dec.  2018
Turn off MathJax
Article Contents
Abstract
References
Related Articles
YU Reng'an, SIMA Xianzhang, LI Jianguo, WANG Shanbo, YANG Jun, LIU Xiaoxue. Response characteristics of lithologic logging of Zhiluo Formation in Ordos basin[J]. COAL GEOLOGY & EXPLORATION, 2018, 46(6): 33-39,51. DOI: 10.3969/j.issn.1001-1986.2018.06.005
Citation: YU Reng'an, SIMA Xianzhang, LI Jianguo, WANG Shanbo, YANG Jun, LIU Xiaoxue. Response characteristics of lithologic logging of Zhiluo Formation in Ordos basin[J]. COAL GEOLOGY & EXPLORATION, 2018, 46(6): 33-39,51. DOI: 10.3969/j.issn.1001-1986.2018.06.005
shu

Response characteristics of lithologic logging of Zhiluo Formation in Ordos basin

  • 1. Tianjin Center, China Geological Survey, Tianjin 300170, China;

  • 2. Laboratory of Non-fossil Energy Minerals, Tianjin Center of China Geological, Tianjin 300170, China

Funds: 

National Basic Research Program of China(973 Program)(2015CB453000)

More Information
  • Received Date: July 14, 2018
  • Published Date: December 24, 2018
    Graphical Abstract
    • Abstract
  • For accurately classifying the strata lithology, identifying strata and interpreting ore beds of Zhiluo Formation, the parameters of four logging curves of Jurassic Zhiluo Formation in four major uranium ore accumulation areas in Ordos basin, including quantitative gamma, natural potential, trilateral resistivity and density, were comprehensively analyzed and classified, statistics and morphological analysis of logging curves were used. The results show that there was no significant difference in gamma radiation rate in Zhiluo Formation in different areas, the resistivity value in southeast margin was obviously higher than that in other areas, and the density value was characterized by being high in the south and low in the north; Vertically the gamma background value and resistivity of the upper section of Zhiluo Formation was are lower than that of the lower section, and the density value didn't not change much; Regionally from coarse sandstone to mudstone the gamma background value increased gradually; The density value increased slightly, and the abnormal amplitude of resistivity and natural potential changed from the high to the low. Based on the difference of logging parameters and facies of different types of rocks, the lithologic identification model of resistivity and density crossplot in the northeastern margin area and the logging facies characteristic of Zhiluo Formation in different ore accumulation areas were established. The granularity of sandstone sections with radioactive anomalies should be increased by 1-2 grades during lithological interpretation of coal logging.
    • FullText(HTML)
    • References (20)
  • [1]
    焦养泉,陈安平,王敏芳,等. 鄂尔多斯盆地东北部直罗组底部砂体成因分析:砂岩型铀矿床预测的空间定位基础[J]. 沉积学报,2005,23(3):371-379.

    JIAO Yangquan,CHEN Anping,WANG Minfang,et al. Genetic analysis of the bottom sandstone of Zhiluo Formation, northeastern Ordos basin:Predictive base of spatial orientation of sandstone-type uranium deposit[J]. Acta Sedimentologica Sinica,2005,23(3):371-379.
    [2]
    夏毓亮,刘汉彬. 鄂尔多斯盆地东胜地区直罗组砂体铀的预富集与铀成矿[J]. 世界核地质科学,2005,22(4):187-191.

    XIA Yuliang,LIU Hanbin. Pre-enrichment and metallogeny of uranium in Zhiluo Formations sand bodies of Dongsheng area, Ordos basin[J]. World Nuclear Geocience,2005,22(4):187-191.
    [3]
    赵俊峰,刘池洋,赵建设,等. 鄂尔多斯盆地侏罗系直罗组沉积相及其演化[J]. 西北大学学报(自然科学版),2008,38(3):480-486.

    ZHAO Junfeng,LIU Chiyang,ZHAO Jianshe,et al. Sedimentary facies and its evolution of Jurassic Zhiluo Formation in Ordos basin[J]. Journal of Northwest University(Natural Science Edition),2008,38(3):480-486.
    [4]
    吴柏林,张婉莹,宋子升,等. 鄂尔多斯盆地北部砂岩型铀矿铀矿物地质地球化学特征及其成因意义[J]. 地质学报,2016, 90(12):3393-3407.

    WU Bailin,ZHANG Wanying,SONG Zisheng,et al. Geological and geochemical characteristics of uranium minerals in the sandstone-type uranium deposits in the north of Ordos basin and their genetic significance[J]. Acta Geologica Sinica,2016,90(12):3393-3407.
    [5]
    张天福,孙立新,张云,等. 鄂尔多斯盆地北缘侏罗纪延安组、直罗组泥岩微量、稀土元素地球化学特征及其古沉积环境意义[J]. 地质学报,2016,90(12):3454-3472.

    ZHANG Tianfu,SUN Lixin,ZHANG Yun,et al. Geochemical characteristics of the Jurassic Yan'an and Zhiluo Formations in the northern margin of Ordos basin and their paleoenvironmental implications[J]. Acta Geologica Sinica, 2016, 90(12):3454-3472.
    [6]
    孙立新,张云,张天福,等. 鄂尔多斯北部侏罗纪延安组、直罗组孢粉化石及其古气候意义[J]. 地学前缘,2017,24(1):32-51.

    SUN Lixin,ZHANG Yun,ZHANG Tianfu,et al. Jurassic sporopollen of Yan'an Formation and Zhiluo Formation in the northeastern Ordos basin,Inner Mongolia,and its paleoclimatic significance[J]. Earlh Science Fronliers,2017,24(1):32-51.
    [7]
    陆凤根. 测井沉积学基拙[J]. 测井技术,1988,12(2):1-10.

    LU Fenggen. Log sedimentology fundamentals[J]. Well Logging Technology,1988,12(2):1-10.
    [8]
    张青海. 呼斯梁地区地层测井参数和测井相分析[J]. 河南理工大学学报(自然科学版),2010,29(增刊1):41-47.

    ZHANG Qinghai. Analysis of formation logging parameters and logging facies in Husiliang area[J]. Journal of Henan University of Science and Technology(Natural Science Edition),2010, 29(S1):41-47.
    [9]
    晋香兰,张慧. 鄂尔多斯盆地东北部侏罗系含铀矿主岩的沉积环境分析[J]. 西北地质,2013,46(2):153-158.

    JIN Xianglan,ZHANG Hui. The research on depositional environment of uranium host rock in the northeast Ordos basin[J]. Northwestern Geology,2013,46(2):153-158.
    [10]
    薛锐,赵俊峰,闫占冬,等. 鄂尔多斯盆地北部侏罗系直罗组沉积特征与演化[J]. 古地理学报,2017,19(6):999-1012.

    XUE Rui,ZHAO Junfeng,YAN Zhandong,et al. Sedimentary characteristics and evolution of the Jurassic Zhiluo Formation in northern Ordos basin[J]. Journal of Palaeogeography,2017, 19(6):999-1012.
    [11]
    王贵文,郭荣坤. 测井地质学[M]. 北京:石油工业出版社, 2000.
    [12]
    楚泽涵,高杰,黄隆基,等. 地球物理测井方法与原理:下册[M]. 北京:石油工业出版社,2007.
    [13]
    吕成奎. 定量伽玛测井与自然伽玛测井关系探讨[J]. 河南理工大学学报(自然科学版),2010,29(增刊1):61-64.

    LYU Chengkui. Discussion on the relationship between quantitative mama logging and natural gamma logging[J]. Journal of Henan University of Science and Technology(Natural Science Edition),2010,29(S1):61-64.
    [14]
    易超,高贺伟,李西得,等. 鄂尔多斯盆地东北部直罗组砂岩型铀矿床常量元素指示意义探讨[J]. 矿床地质,2015,34(4):801-813.

    YI Chao,GAO Hewei,LI Xide,et al. Study on indicative significance of major elements for sandstone-type uranium deposit in Zhiluo Formation in northeastern Ordos basin[J]. Mineral Deposits,2015,34(4):801-813.
    [15]
    漆富成,秦明宽,刘武生,等. 鄂尔多斯盆地直罗组赋铀沉积相与油气蚀变带的时空配置[J]. 铀矿地质,2007, 23(2):65-70.

    QI Fucheng,QIN Mingkuan,LIU Wusheng,et al. Time-space configuration of uranium mineralization, sedimentary facies and oil & gas-induced alteration zone in Zhiluo Formation, Ordos basin[J]. Uranium Geology,2007,23(2):65-70.
    [16]
    赵显令,王贵文,周正龙,等. 地球物理测井岩性解释方法综述[J]. 地球物理学进展,2015,30(3):1278-1287.

    ZHAO Xianling,WANG Guiwen,ZHOU Zhenglong,et al. A review of lithology interpretation methods using geophysical well logs[J]. Progress in Geophysics,2015,30(3):1278-1287.
    [17]
    邹文,贺振华,陈爱萍,等. 定量交会图技术及其在流体识别中的应用[J]. 石油物探,2008,47(1):45-49.

    ZOU Wen,HE Zhenhua,CHEN Aiping,et al. Application of quantitative crossplot technique in fluid identification[J]. Geophysical Prospecting for Petroleum,2008,47(1):45-49.
    [18]
    司马献章. 沉积盆地对砂岩型铀矿成矿的控制作用[C]//第六届全国沉积学大会摘要. 2017:9-16.
    [19]
    伏万军. 黏土矿物成因及对砂岩储集性能的影响[J]. 古地理学报,2000,2(3):23-30.

    FU Wanjun. Influence of clay minerals on sandstone reservoir properties[J]. Journal of Palaeogeography,2000, 2(3):23-30.
    [20]
    张龙,刘池洋,赵中平,等. 鄂尔多斯盆地杭锦旗地区砂岩型铀矿流体作用与成矿[J]. 地学前缘,2015,22(3):368-381.

    ZHANG Long,LIU Chiyang,ZHAO Zhongping,et al. Fluid evolution and mineralization of Hangjinqi standstone-type uranium deposit,Ordos basin[J]. Earth Science Frontiers,2015, 22(3):368-381.
    • Related Articles

  • Related Articles

    [1]CAI Ming, ZHOU Qingwen, YANG Cong, CHEN Feng, WU Dong, LIN Wang, ZHANG Chengguang, ZHANG Yuanjun, MIAO Yuxin. An intelligent lithology identification method for sandstone and mudstone strata and its applications: A case study of the Jurassic strata in the Lunnan area, Xinjiang, China[J]. COAL GEOLOGY & EXPLORATION, 2025, 53(1): 235-244. DOI: 10.12363/issn.1001-1986.24.07.0503
    [2]LI Zhe, GAO Baobin, LEI Wenjie, LI Donghui, LI Zixin. Identifying the lithologies and thicknesses of coal seam roofs and floors based on multiparameter logging of boreholes[J]. COAL GEOLOGY & EXPLORATION, 2024, 52(12): 190-200. DOI: 10.12363/issn.1001-1986.24.03.0177
    [3]CHENG Xi, REN Zhanli. Artificial intelligence logging: Fundamental, principle, technique, and application[J]. COAL GEOLOGY & EXPLORATION, 2024, 52(8): 145-164. DOI: 10.12363/issn.1001-1986.23.12.0813
    [4]LI Zhe, GAO Baobin, LEI Wenjie, LI Donghui, LI Zixin. Identifying the lithologies and thicknesses of coal seam roofs and floors based on multiparameter logging of boreholes[J]. COAL GEOLOGY & EXPLORATION.
    [5]CHEN Yingxian, WANG Pengfei. Establishment of a 3D solid model blasting rock mass based on intelligent lithology identification[J]. COAL GEOLOGY & EXPLORATION, 2022, 50(4): 92-97. DOI: 10.12363/issn.1001-1986.21.06.0340
    [6]CHEN Gang, WANG Kaibin, JIANG Bici, WANG Xiaolong. Comparison and application of LWD lithology identification method[J]. COAL GEOLOGY & EXPLORATION, 2018, 46(1): 165-169. DOI: 10.3969/j.issn.1001-1986.2018.01.028
    [7]LIU Mingjun, LI Hengtang, JIANG Zaibing. Application of genetic-BP neural network model in lithology identification by logging data in Binchang mining area[J]. COAL GEOLOGY & EXPLORATION, 2011, 39(4): 8-12. DOI: 10.3969/j.issn.1001-1986.2011.04.003
    [8]LI Xin-hu. Lithology identification methods contrast based on support vector machines at different well logging parameter[J]. COAL GEOLOGY & EXPLORATION, 2007, 35(3): 72-76,80.
    [9]GUO Ai-huang. AUTOMATIC FORMATION DIVISION AND LITHOLOGIC INTERpRETATION BY LOGGING USING COMpUTER[J]. COAL GEOLOGY & EXPLORATION, 1998, 26(5): 58-62.
    [10]XI Dao-ying, ZHANG Tao. THE APPLICATION OF ARTIFICIAL NEURAL NETWORK IN LITHOLOGY AUTO- IDENTIFICATION FROM COAL WELL LOGS[J]. COAL GEOLOGY & EXPLORATION, 1994, 22(6): 56-61.

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (98) PDF downloads (15) Cited by()
    Related

    Copyright of website design © Editorial Office of Coal Geology & Exploration 陕ICP备05001372号-6 陕公网安备 61019002002193号

    Address: Editorial Office of Coal Geology & Exploration, No.82 Jinye 1st Rd, High-Tech Zone, Xi'an City, Shaanxi, China

    Tel: 029-81778075 E-mail: ccrimtdzykt@vip.163.com

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return