ISSN 1004-4140
CN 11-3017/P
Volume 30 Issue 1
Feb.  2021
Turn off MathJax
Article Contents
WANG Chenguang, LIN Xuemin, ZHOU Xianhua, WANG Lei, SHEN Jinsong, SU Chaoyang. Fault Detection and Evaluation Based on Fusion of Multiple Seismic Attributes——An Example of Fractured and Vuggy Carbonate Formation in SHB Area,Tarimu Basin[J]. CT Theory and Applications, 2021, 30(1): 35-48. DOI: 10.15953/j.1004-4140.2021.30.01.04
Citation: WANG Chenguang, LIN Xuemin, ZHOU Xianhua, WANG Lei, SHEN Jinsong, SU Chaoyang. Fault Detection and Evaluation Based on Fusion of Multiple Seismic Attributes——An Example of Fractured and Vuggy Carbonate Formation in SHB Area,Tarimu Basin[J]. CT Theory and Applications, 2021, 30(1): 35-48. DOI: 10.15953/j.1004-4140.2021.30.01.04

Fault Detection and Evaluation Based on Fusion of Multiple Seismic Attributes——An Example of Fractured and Vuggy Carbonate Formation in SHB Area,Tarimu Basin

More Information
  • Received Date: July 29, 2020
  • Available Online: November 05, 2021
  • The fractured and vuggy reservoirs in deeply buried carbonate formation at SHB area Tarim basin are mainly deposited in fault systems ruptured by regional structural stress, the storage space consists of fractures caused by fissured faults and Karst vugs because of subsurface dissolution. Therefore, identification and evaluation of faults becomes the key step of the reservoir assessment. Considering the weakness of the seismic energy reflected from the deeply buried formation and the strong attenuation of the unconsolidated sand over the surface in the center of the deserts, the identification of faults confronts challenges with any one kind of seismic attribute. In this study, we developed a processing procedure for identification and characterization of faults with fusion of optimal seismic attributes' data set through understanding of the geological and geophysical characteristics in the target area. First, the fault caused diffusions in the seismic profiles have been identified as the suspected proofs of the existence of the faults or fractures. Secondly, methods of spectral whitening and dip angle directed filtering have been implemented for noise attenuation and frequency band extension. Next, the seismic data set after noise attenuation and frequency extension has been input into processing procedures of multiple seismic attributes calculation, such as coherence, ant tracking, and curvature. Moreover, identification and evaluation of faults in subsurface formation have been fulfilled with the fusion of multiple seismic attributes, and also the probable time window of the formation of the faults has been analyzed with the combination of the seismic profiles and attributes' slices. Finally, the sparse pulse inversion results constrained with the optimal seismic attributes and structural vectors have been applied to prediction of spatial distribution of fractures and vugs, and well consistency with the drilled results has been achieved.
  • Cited by

    Periodical cited type(19)

    1. 万鑫龙,邓尚彪,高鹏. 基于深度学习的肺结节良恶性CT智能鉴别系统的构建及应用. 临床医学工程. 2025(01): 12-15 .
    2. 袁冬健,彭磊,张玉荣,沈春冬,茅竞文. 人工智能CT扫描联合血清CEA检测对肺结节良恶性的诊断价值研究. 影像研究与医学应用. 2025(05): 109-111+114 .
    3. 苏寅晨,张晓琴. 人工智能辅助诊断系统在肺结节检测及良恶性判断中的应用价值. CT理论与应用研究. 2024(03): 325-331 . 本站查看
    4. 杨嫚. 人工智能技术辅助诊断肺小结节的临床应用价值. 中国现代医药杂志. 2024(06): 75-77 .
    5. 钟丽茹,罗娜,贺露瑶. 多个人工智能辅助诊断系统对肺结节的诊断效能比较. 影像研究与医学应用. 2024(17): 26-29 .
    6. 贺呈祥,栗欣,张怀瑢. 基于人工智能与影像医生对肺结节检出效能的应用价值. 宁夏医科大学学报. 2024(09): 911-914 .
    7. 王璟琛,柴军. 人工智能体积密度法判断肺亚实性结节的浸润性研究. CT理论与应用研究. 2023(02): 241-248 . 本站查看
    8. 王彬,顾文权,蔡孙美,周杰,张琦,雷撼. 基于人工智能的胸部CT肺结节检出及良恶性诊断效能评估. 影像研究与医学应用. 2023(05): 95-97 .
    9. 张添辉,刘舒珊,范伟雄. AI辅助实习医生和规培医生鉴别良恶性肺结节的价值. 影像研究与医学应用. 2023(05): 83-85 .
    10. 周伟文,谭学渊,余佐时. AI肺小结节检测系统用于低剂量CT肺筛查中的应用研究. 中国CT和MRI杂志. 2023(05): 43-45 .
    11. 陈新花,黄晓旗,李建龙,郭佑民. 基于两种AI软件对肺结节的诊断价值评价研究. CT理论与应用研究. 2023(04): 493-499 . 本站查看
    12. 梁付奎,傅晓琴,李彩琴,刘芸,刘山波. 人工智能AI联合低剂量肺部CT扫描在肺结节诊断中的应用价值分析. 影像研究与医学应用. 2023(15): 28-30 .
    13. 方荣荣,陈深远,张先仙. 人工智能辅助技术在肺磨玻璃结节CT定性诊断中的准确率研究. 实用医学影像杂志. 2023(04): 266-269 .
    14. 张磊. 人工智能辅助诊断系统在低剂量肺部CT扫描筛查肺原位癌的应用价值. 影像研究与医学应用. 2023(23): 104-106 .
    15. 卢翼,陈友三,杨磊,肖诗银. 基于人工智能的CT检查对肝肿瘤患者良恶性的诊断价值. 影像研究与医学应用. 2023(24): 74-76 .
    16. 吴久纯,李甜,李晓东,卓越,张玉娇,刘敬禹. 基于人工智能随访预测肺结节增长的影响因素研究. 中国全科医学. 2022(17): 2115-2120 .
    17. 谢春晓,顾文豪. 人工智能CT定量分析肺结节的临床应用价值. 影像研究与医学应用. 2022(14): 74-76 .
    18. 耿然. 基于深度学习的人工智能影像辅助诊断系统对肺结节的诊断效能评价. 新乡医学院学报. 2022(11): 1031-1035 .
    19. 刘甜,范丽. 人工智能在肺癌筛查中的研究进展. 中国医学计算机成像杂志. 2022(06): 681-684 .

    Other cited types(2)

Catalog

    Article views PDF downloads Cited by(21)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return