Applied Geophysics

, Volume 16, Issue 2, pp 218–232 | Cite as

Fluids discrimination by ray-path elastic impedance inversion: A successful case from Sulige tight gas field

  • Da-Xing Wang
  • Hao-Fan WangEmail author
  • Jin-Feng Ma
  • Yong-Gang Wang
  • Na Zhang
  • Lin Li
Reservoir Geophysics


Existing seismic prediction methods struggle to effectively discriminate between fluids in tight gas reservoirs, such as those in the Sulige gas field in the Ordos Basin, where porosity and permeability are extremely low and the relationship between gas and water is complicated. In this paper, we have proposed a comprehensive seismic fluid identification method that combines ray-path elastic impedance (REI) inversion with fluid substitution for tight reservoirs. This approach is grounded in geophysical theory, forward modeling, and real data applications. We used geophysics experiments in tight gas reservoirs to determine that Brie’s model is better suited to calculate the elastic parameters of mixed fluids than the conventional Wood’s model. This yielded a more reasonable and accurate fluid substitution model for tight gas reservoirs. We developed a forward model and carried out inversion of REI, which reduced the non-uniqueness problem that has plagued elastic impedance inversion in the angle domain. Our well logging forward model in the ray-path domain with different fluid saturations based on a fluid substitution model proved that REI identifies fluids more accurately when the ray parameters are large. The distribution of gas saturation can be distinguished from the crossplot of REI (p= 0.10) and porosity. The inverted ray-path elastic impedance profile was further used to predict the porosity and gas saturation profile. Our new method achieved good results in the application of 2D seismic data in the western Sulige gas field.


tight gas reservoir ray-path elastic impedance fluids identification rock-physical model gas saturation inversion 


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The authors thank the National & Local Joint Engineering Research Center of Carbon Capture and Storage Technology of Northwest University for providing support, and we thank the editors and anonymous reviewers for their patient and meticulous revisions and suggestions.


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Copyright information

© The Editorial Department of APPLIED GEOPHYSICS 2019

Authors and Affiliations

  • Da-Xing Wang
    • 1
    • 2
  • Hao-Fan Wang
    • 3
    Email author
  • Jin-Feng Ma
    • 3
  • Yong-Gang Wang
    • 1
  • Na Zhang
    • 1
  • Lin Li
    • 3
  1. 1.Exploration and Development Research Institute of PetroChina Changqing Oilfield CompanyShaanxi, Xi’anChina
  2. 2.National Engineering Laboratory for Exploration and Development of Low-Permeability Oil & Gas FieldShaanxi, Xi’anChina
  3. 3.National & Local Joint Engineering Research Center of Carbon Capture and Storage Technology, Department of GeologyNorthwest UniversityShaanxi, Xi’anChina

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