›› 2017, Vol. 38 ›› Issue (6): 1-1.doi: 10.7657/XJPG20170601

• 论文 •    

车镇凹陷郭局子洼陷北部陡坡带砂砾岩沉积序列

王延章1,刘雅利2,朱永峰3,曹晓莉4,高飞5   

  1. (1.中国石油大学 胜利学院 油气工程学院,山东 东营 257061;2.中国石化 胜利油田分公司 勘探开发研究院, 山东 东营 257015;3.中国石油 塔里木油田分公司 勘探开发研究院,新疆 库尔勒 841000;4.中国石化 地球物理公司胜利分公司 物探研究所,山东 东营 257093;5.中国石化 胜利油田分公司 现河采油厂,山东 东营 257068)
  • 出版日期:2019-01-01 发布日期:1905-07-18

Sedimentary Sequences of Glutenite on the Steep Slope in Northern Guojuzi Subsag of Chezhen Sag, Jiyang Depression

WANG Yanzhang1, LIU Yali2, ZHU Yongfeng3, CAO Xiaoli4, GAO Fei5   

  1. (1.School of Oil and Gas Engineering, Shengli College, China University of Petroleum, Dongying, Shandong 257061, China; 2.Research Institute of Exploration and Development, Shengli Oilfield Company, Sinopec, Dongying, Shandong 257015, China; 3.Research Institute of Exploration and Development, Tarim Oilfield Company, PetroChina, Korla, Xinjiang 841000, China; 4.Geophysical Institute, Shengli Branch, Geophysical Corporation, Sinopec, Dongying, Shandong 257093, China; 5.Xianhe Oil Production Plant, Shengli Oilfield Company, Sinopec, Dongying, Shandong 257068, China)
  • Online:2019-01-01 Published:1905-07-18

摘要: 针对济阳坳陷车镇凹陷郭局子洼陷北部陡坡带砂砾岩扇体物源多、沉积速率快、沉积厚度大和多期叠置的特点,在岩心、FMI测井图像分析和对各种沉积序列划分方法优化的基础上,提出了砂砾岩沉积序列综合划分方法。先采用岩心和FMI测井图像划分砂砾岩沉积序列和标定岩电关系,再利用泥岩隔夹层识别、地层倾角测井资料、地震约束下曲线重组和测井曲线计算反射系数法来划分沉积序列;最后,利用地震时频分析和小波变换法,进行校验和补充。按照上述方法,将郭局子洼陷北部陡坡带沙一段砂砾岩划分为3个沉积序列,沙二段划分为4个沉积序列,沙三上亚段划分为2个沉积序列,沙三中—沙三下亚段划分为12个沉积序列,沙四段划分为5个沉积序列。

Abstract: Regarding the characteristics of multiple provenances, rapid sedimentation rate, large sedimentary thickness and multi-stage superposition of the glutenite fans on the the steep slope in northern Guojuzi subsag of Chezhen sag, Jiyang depression, and based on the analysis of core and FMI logging images and optimization of classification methods for various sedimentary sequences, a comprehensive classification method for glutenite sedimentary sequences is presented. Firstly, core and FMI image are used to classify the glutenite sedimentary sequence and calibrate the relationship between lithology and electrical property; then methods of shale interlayer identification, curve recombination constrained by seismic data and reflection coefficient calculated with logging curve and diplog data are applied to classify sedimentary sequence. Finally, seismic time-frequency analysis and wavelet transform method are used to verify and replenish the comprehensive classification. Using the above method, Sha-1 member on the steep slope of northern Guojuzi subsag can be divided into 3 sedimentary sequences, Sha-2 member into 4 sedimentary sequences, the middle and lower sections of Sha-3 member can be classified into 12 sedimentary sequences and Sha-4 member into 5 sedimentary sequences.

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