The North Tambey uplift history study using 3D seismic data

被引:0
|
作者
Zagorovsky, Yu. A. [1 ]
机构
[1] Zagorovsky Ind Univ Tyumen, 56 Volodarsky Str, Tyumen 625000, Russia
关键词
formation thickness analysis; seismic data; North Tambey uplift; Tambeyskoye natural gas field; Cenomanian; overpressure; Tanopchinskaya formation;
D O I
10.18599/grs.2022.3.5
中图分类号
TE [石油、天然气工业];
学科分类号
0820 ;
摘要
Paper shows the information about the geological and geophysical exploration of Tambeyskoye natural gas field located in the north of the Yamal Peninsula. The problems with mapping of natural gas deposits in Cretaceous and Jurassic formations are described. The results of formation thickness analysis are presented in order to explain the reasons for the unprecedented concentration of separate natural gas accumulations and the heterogeneous saturation of massive reservoirs in Cretaceous formations. The method of paleotectonic analysis is briefly described, the initial data are reported. Structural and isopach maps are presented. Structural elements and their evolution in Jurassic and Cretaceous time are presented. It was concluded that different structural elements of the work area transformed quite independently until the end of Cenomanian. The modern shape of North Tambey uplift was forming during the Neogene to Quarter age. Natural gas bearing reservoirs in Jurassic formation with the overpressure were reported. The young age of the North Tambey uplift, the unprecedented concentration of separate natural gas accumulations, the and the heterogeneous saturation of massive reservoirs in Cretaceous formations, overpressure in Jurassic formation -all these facts show that the Tambeyskoye natural gas field is under active gas accumulation. Hydrocarbon gases coming from deep Jurassic formations and it was not enough time for gas accumulations to be distributed over the reservoirs of Cretaceous.
引用
收藏
页码:69 / 76
页数:8
相关论文
共 50 条
  • [21] A nonlinear solution to 3D seismic data conditioning using trained dictionaries
    Yu, Zhou
    Johnston, Rodney
    Etgen, John
    Reitz, Anya
    GEOPHYSICS, 2020, 85 (05) : V397 - V406
  • [22] Data augmentation for 3D seismic fault interpretation using deep learning
    Bonke, Wiktor
    Alaei, Behzad
    Torabi, Anita
    Oikonomou, Dimitrios
    MARINE AND PETROLEUM GEOLOGY, 2024, 162
  • [23] An overview of reproducible 3D seismic data processing and imaging using Madagascar
    Oren, Can
    Nowack, Robert L.
    GEOPHYSICS, 2018, 83 (02) : F9 - F20
  • [24] A hexagonal sampling grid for 3D recording and processing of 3D seismic data
    Bardan, V
    GEOPHYSICAL PROSPECTING, 1997, 45 (05) : 819 - 830
  • [25] Stabilizing the phase of onshore 3D seismic data
    Holt, Rob
    Lubrano, Andy
    GEOPHYSICS, 2020, 85 (06) : V473 - V479
  • [26] 3D seismic data for shallow aquifers characterisation
    Giustiniani, Michela
    Accaino, Flavio
    Picotti, Stefano
    Tinivella, Umberta
    JOURNAL OF APPLIED GEOPHYSICS, 2009, 68 (03) : 394 - 403
  • [27] DEVELOPMENTS IN 3D SEISMIC DATA ACQUISITION AND PROCESSING
    COTTON, WR
    HENDERSON, I
    GEOPHYSICAL JOURNAL OF THE ROYAL ASTRONOMICAL SOCIETY, 1982, 69 (01): : 297 - 297
  • [28] Research on 3D visualization method of seismic data
    Liu, Xumin
    Li, Dawei
    Xu, Yongxiu
    Xu, Weixiang
    International Journal of Signal Processing, Image Processing and Pattern Recognition, 2016, 9 (05) : 441 - 454
  • [29] Horizon picking in 3D seismic data volumes
    Maria Faraklioti
    Maria Petrou
    Machine Vision and Applications, 2004, 15 : 216 - 219
  • [30] Morphological segmentation applied to 3D seismic data
    Faucon, T
    Decencière, E
    Magneron, U
    Mathematical Morphology: 40 years on, 2005, 30 : 475 - 484