ISSN 1004-4140
CN 11-3017/P
ZHANG Shi-xin, DU Xiang-dong, HAN Wen-ming, DUAN Jun, SUN Lin-jie. Instantaneous Energy Anomaly Attribute Based on Match Pursuit and its Application in Hydrocarbon Detection of Albertine Graben[J]. CT Theory and Applications, 2015, 24(4): 517-524. DOI: 10.15953/j.1004-4140.2015.24.04.05
Citation: ZHANG Shi-xin, DU Xiang-dong, HAN Wen-ming, DUAN Jun, SUN Lin-jie. Instantaneous Energy Anomaly Attribute Based on Match Pursuit and its Application in Hydrocarbon Detection of Albertine Graben[J]. CT Theory and Applications, 2015, 24(4): 517-524. DOI: 10.15953/j.1004-4140.2015.24.04.05

Instantaneous Energy Anomaly Attribute Based on Match Pursuit and its Application in Hydrocarbon Detection of Albertine Graben

More Information
  • Received Date: July 08, 2015
  • Available Online: December 08, 2022
  • Albertine Graben is one of the hot regain of oil and gas exploration in the world, with the geological features of shallow layer, rapid evolution, and new formation. Cenozoic layer is the primary target, where un-consolidated sandstone is the reservoir type with quite different reservoir parameters. On the effect of porosity and pore-filled fluid, the seismic reflection response of hydrocarbon bearing reservoir has no rules. It is difficult to make hydrocarbon detection in Albertine Graben. The match pursuit algorithm is used to raise the time-frequency resolution in the seismic instantaneous spectral decomposition. With the help of energy absorption analysis method, the instantaneous energy anomaly attribute is proposed based on match pursuit. W oilfield is taken for example in Albertine Graben; we found the rule of hydrocarbon bearing reservoir with low-frequency energy raised and high-frequency energy attenuated. We made hydrocarbon prediction using the instantaneous energy anomaly attribute, which was verified by the drilled well.
  • Related Articles

    [1]HAN Xuanying, YANG Qinlin, LIU Zhao, PEI Sijia. Pre-stack Multidimensional Facies-controlled Thin Sandstone Prediction under Rock Physics Modeling of Coal-Bearing Strata in the Southern Ordos Basin[J]. CT Theory and Applications. DOI: 10.15953/j.ctta.2024.262
    [2]MA Tian, LI Shuang, CHEN Hui, XU Yinghao, HE Yi. Value of CCTA Plaque Characterization in Predicting Myocardial Ischemia[J]. CT Theory and Applications. DOI: 10.15953/j.ctta.2025.005
    [3]LIU Jiang, TU Qicui, LI Bingying, HUANG Xin, ZHANG Guangzhi, ZHANG Jiajia, WU Yao, ZHU Shengwei. Fault Prediction Method Based on Convolutional Neural Network[J]. CT Theory and Applications, 2020, 29(5): 522-533. DOI: 10.15953/j.1004-4140.2020.29.05.02
    [4]HUANG Handong, ZHANG Jianjun, LIU Wei, SHEN Jinsong. Application of Chaos Inversion Controlled by Seismic Facies in Prediction of Lithologic Reservoirs: A Case Study of M Well Area in RY Depression[J]. CT Theory and Applications, 2019, 28(5): 549-557. DOI: 10.15953/j.1004-4140.2019.28.05.04
    [5]QIN Qin, WU Shi-guo. The Analysis and Gravity-Seismic Imaging in the Baiyun Sag Deep-water Hydrocarbon Area in the Northern South China Sea[J]. CT Theory and Applications, 2017, 26(6): 695-706. DOI: 10.15953/j.1004-4140.2017.26.06.05
    [6]ZHANG Bing-ming, PEI Zhong-lin, ZHANG Guang-zhi, LUO Xia, ZHANG Ming-zhen, HE Feng, LU Liu. Hydrocarbon Detection of Sand Reservoir Based on EEI Inversion[J]. CT Theory and Applications, 2017, 26(3): 299-308. DOI: 10.15953/j.1004-4140.2017.26.03.06
    [7]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
    [8]LIU Lei, ZHANG Qiu, ZHANG Jun-hua, BAN Li, LI Jun-lin. Application of the Strong Shielding Peeling Technique Based on Matching Pursuit Algorithm in the Reservoir Prediction of Fan 159 Well Block[J]. CT Theory and Applications, 2016, 25(3): 331-337. DOI: 10.15953/j.1004-4140.2016.25.03.09
    [9]CAI Rui. Applications of Spectral Decomposition Technique to Reservoir Prediction[J]. CT Theory and Applications, 2003, 12(2): 22-25.
    [10]Wang Honggang, Lü Bingquan, Zhao Yonghui, Sun Xiaogang. Plane Imaging prediction of Hydrocarbon distribution By Adopting the Non-linear Technique[J]. CT Theory and Applications, 2001, 10(1): 1-4.

Catalog

    Article views (823) PDF downloads (3) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return