ISSN 1004-4140
CN 11-3017/P
SHU Meng-cheng. The Application of Improved AVAZ Method in Predicting the Fractured Reservoir[J]. CT Theory and Applications, 2017, 26(1): 45-52. DOI: 10.15953/j.1004-4140.2017.26.01.06
Citation: SHU Meng-cheng. The Application of Improved AVAZ Method in Predicting the Fractured Reservoir[J]. CT Theory and Applications, 2017, 26(1): 45-52. DOI: 10.15953/j.1004-4140.2017.26.01.06

The Application of Improved AVAZ Method in Predicting the Fractured Reservoir

More Information
  • Received Date: June 23, 2016
  • Available Online: November 27, 2022
  • Nowadays, it is effective to predict the fracture attributions via AVAZ technique based on pre-stack azimuthal data. However, in the seismic acquisition of narrow azimuth, the number of folds can hardly be consistent at different azimuth directions, so that different azimuth data has different energy resulting in the trend error in the prediction of fracture attributions. In this paper, the AVAZ method based on the amplitude normalization in the fractured reservoir is proposed. By adding the method into the fracture analysis step the trend error caused by the seismic acquisition could be avoided. Finally, the application results from real data shows that this method is effective and practical and it significantly improves the fracture predicted results.
  • Related Articles

    [1]LUO Hui, SHEN Jinsong, ZHANG Wenxue, SUN Shuai, ZHANG Zhe’an, WANG Qian, LIN Xuemin. Study on the Numerical Simulation of Array Sonic Logging Responses and Their Velocity Dispersion Characteristics in Fractured Formation[J]. CT Theory and Applications, 2024, 33(6): 747-760. DOI: 10.15953/j.ctta.2024.107
    [2]QIN Liming, CHENG Zhiguo, ZHENG Wei, CHEN Yong, SU Yanli, SHEN Jianwen, SONG Jianguo. Rock Physics Modeling and Fracture Prediction of Double Porosity Media in the Hutubi Area[J]. CT Theory and Applications, 2023, 32(6): 723-734. DOI: 10.15953/j.ctta.2023.117
    [3]WEI Hong, SONG Junting, TIAN Tao, ZHANG Pengzhi. Application of Amplitude Compensation Method Based on Phase Control in Reservoir Prediction of Bohai B Oilfield[J]. CT Theory and Applications, 2021, 30(6): 681-690. DOI: 10.15953/j.1004-4140.2021.30.06.03
    [4]CHEN Kang, DI Guidong, ZHANG Jiajia, ZHOU You, WU Yao, ZHANG Guangzhi. Reservoir Prediction Based on Improved U-Net Convolutional Neural Network[J]. CT Theory and Applications, 2021, 30(4): 403-416. DOI: 10.15953/j.1004-4140.2021.30.04.01
    [5]LIU Junzhou, HAO Hongjian, HAN Lei, LIANG Kai, WANG Zhenyu, CHEN Siyu. Wave Field Simulation and Analysis of Fracture Reservoir in Xinchang, Western Sichuan[J]. CT Theory and Applications, 2021, 30(1): 9-22. DOI: 10.15953/j.1004-4140.2021.30.01.02
    [6]WANG Jun, REN Xiongfeng, ZHANG Junhua, LI Qin, GUI Zhipeng. Thickness Prediction of Glutenite Favorable Reservoir Using PCA-RF Method[J]. CT Theory and Applications, 2020, 29(3): 311-318. DOI: 10.15953/j.1004-4140.2020.29.03.07
    [7]YU Shina, LI Shuai, GAO Xilong, ZHOU Hongke, WU Qunhu, HUANG Handong. Research on Intelligent Fracture Detection Technology and Its Application in Chengdao Burid Mountain[J]. CT Theory and Applications, 2020, 29(1): 23-30. DOI: 10.15953/j.1004-4140.2020.29.01.03
    [8]SHU Meng-cheng. The Prediction Method of Diffracted Wave Attribute on Buried Hill Fractured Reservoir[J]. CT Theory and Applications, 2017, 26(2): 139-146. DOI: 10.15953/j.1004-4140.2017.26.02.02
    [9]XU Xue-feng. Logging Interpretation and Application Based on Three-water Model in Fractured Tight Sand Reservoirs[J]. CT Theory and Applications, 2012, 21(2): 221-229.
    [10]CAI Rui. Applications of Spectral Decomposition Technique to Reservoir Prediction[J]. CT Theory and Applications, 2003, 12(2): 22-25.
  • Cited by

    Periodical cited type(3)

    1. 刘雨欣,陈凡秀,孙洁,王远,王潇,于洋,顾焱吉. 管电压管电流和开机时间对CT图像质量的影响. 实验力学. 2024(01): 17-26 .
    2. 朱丽娟,马瑞,沈云,汪芳,杨彦兵,曹永佩,杨利莉,吴小红. 探讨不同管电压下DLIR重建算法对冠状动脉CTA图像质量的影响. 宁夏医学杂志. 2023(09): 787-791+865 .
    3. 王振宇,黄蕾. 分析CT图像的质量控制与设备维护保养. 中国设备工程. 2023(18): 85-87 .

    Other cited types(0)

Catalog

    Article views (526) PDF downloads (15) Cited by(3)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return