Application of INPEFA technology to sequence stratigraphy of the third member of Funing Formation, Nanhua block, Qintong Sag, North Jiangsu Basin
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摘要: 最大熵谱分析技术是对测井曲线进行合成预测误差滤波分析处理,得到频率趋势线(INPEFA曲线),运用INPEFA曲线不同幅度的趋势拐点来识别不同级次层序界面。通过对苏北盆地溱潼凹陷南华区块阜三段GR曲线进行INPEFA处理,将阜三段III和IV油组划分为13个5级层序,进而在INPEFA曲线所建立的等时框架内对区块内距离相近的3口井进行井间的砂体连通性对比,得出在小层中各有2个连通性较好的砂层和油层组。INPEFA技术处理后的测井曲线可以提取出在常规测井曲线中隐藏的旋回趋势特征,从3口井变化趋势相近的INPEFA曲线来看,该区域的沉积环境变化大致相同,都是从水退到水进的过程。Abstract: The maximum entropy spectrum analysis technique provides the frequency trend line (INPEFA curve) by analyzing the synthetic prediction error filtering of logging curves, and using the trend turning point of different amplitude of the INPEFA curve to identify the interface of different order sequences.Through the INPEFA treatment of the GR curves of the third member of Funing Formation in the Nanhua block in the Qintong Sag of the North Jiangsu Basin, the Ⅲ and IV oil groups were divided into 13 five-level sequences, and then the sand body connectivity among three wells with close distances within the block was compared in an isochronous framework established by INPEFA curves. Comparing the sand body connectivity, it was concluded that there were two sand layer groups and oil layer groups connected in the small layer. The logging curves processed by INPEFA technology can extract the characteristics of cyclic trends hidden in conventional logging curves. According to the INPEFA curves with similar trends in the three wells, the sedimentary environment in this area changed roughly the same, from regression to transgression.
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Key words:
- maximum entropy spectrum analysis /
- INPEFA /
- sequence division /
- Qintong Sag /
- North Jiangsu Basin
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[1] 操应长,姜在兴,夏斌,等.利用测井资料识别层序地层界面的几种方法[J].石油大学学报(自然科学版),2003,27(2):23-26. CAO Yingchang,JIANG Zaixing,XIA Bin,et al.Some methods for identifying sequence boundaries and condensation sections using well logging[J].Journal of the University of Petroleum,China,2003,27(2):23-26. [2] 王梦琪,谢俊,王金凯,等.基于INPEFA技术的高分辨率层序地层研究:以埕北油田东营组二段为例[J].中国科技论文,2016,11(9):982-987.WANG Mengqi,XIE Jun,WANG Jinkai,et al.Research of high resolution sequence stratigraphy using INPEFA:a case study in the second member of Dongying Formation of Chengbei Oilfield[J].China Sciencepaper,2016,11(9):982-987. [3] 薛欢欢,李景哲,李恕军,等.INPEFA在高分辨率层序地层研究中的应用:以鄂尔多斯盆地油房庄地区长4+5油组为例[J].中国海洋大学学报,2015,45(7):101-106.XUE Huanhuan,LI Jingzhe,LI Shujun,et al.Application of INPEFA technique to research high resolution sequence stratigraphy:as an example of Youfangzhuang area Chang 4+5 in Ordos Basin[J].Periodical of Ocean University of China,2015,45(7):101-106. [4] 朱红涛,黄众,刘浩冉,等.利用测井资料识别层序地层单元技术与方法进展及趋势[J].地质科技情报,2011,30(4):29-36.ZHU Hongtao,HUANG Zhong,LIU Haoran,et al.Progress and developing tendency of technologies and methods used to recognize sequence stratigraphic units based on the well-log data[J].Geological Science and Technology Information,2011,30(4):29-36. [5] 陈茂山.测井资料的两种深度域频谱分析方法及在层序地层学研究中的应用[J].石油地球物理勘探,1999,34(1):57-64.CHEN Maoshan.Two novel depth-domain frequency spectrum ana-lysis methods for logging data and their application to sequence stratigraphy research[J].Oil Geophysical Prospecting,1999,34(1):57-64. [6] 陈树光,任建业,张建丽,等.INPEFA技术在滩坝砂体层序划分中的应用[J].大庆石油地质与开发,2015,34(3):9-15.CHEN Shuguang,REN Jianye,ZHANG Jianli,et al.Application of INPEFA technique in the sequence division of the beach-bar sandbodies[J].Petroleum Geology and Oilfield Development in Daqing,2015,34(3):9-15. [7] 路顺行,张红贞,孟恩,等.运用INPEFA技术开展层序地层研究[J].石油地球物理勘探,2007,42(6):703-708.LU Shunxing,ZHANG Hongzhen,MENG En,et al.Application of INPEFA technique to carry out sequence-stratigraphic study[J].Oil Geophysical Prospecting,2007,42(6):703-708. [8] 江夏,周荔青.苏北盆地富油气凹陷形成与分布特征[J].石油实验地质,2010,32(4):319-325.JIANG Xia,ZHOU Liqing.Characteristics of formation and distribution of prolific sags in the Northern Jiangsu Basin[J].Petroleum Geology & Experiment,2010,32(4):319-325. [9] 杜学斌,陆永潮,刘惠民,等.细粒沉积物中不同级次高频层序划分及其地质意义:以东营凹陷沙三下-沙四上亚段泥页岩为例[J].石油实验地质,2018,40(2):244-252.DU Xuebin,LU Yongchao,LIU Huimin,et al.Division of high-frequency sequences of different orders in fine-grained deposits and its geologic significance:a case study of mud shale from the lower section of the third member to the upper section of the fourth member of Shahejie Formation in Dongying Sag,Bohai Bay Basin[J].Petroleum Geology & Experiment,2018,40(2):244-252. 期刊类型引用(13)
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