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Research and Application of Training Image in Tight Sandstone Gas Reservoir

  • Bin Fu
  • Zhixin Ma
  • Weifeng Zhang
  • Qing Zhang
  • Longfei Zhou
Conference paper
Part of the Springer Series in Geomechanics and Geoengineering book series (SSGG)

Abstract

As the newest and most advanced geologic modelling method, multi-point geostatistical method relied on training images is needed to constrain the geological model. In the braided river sedimentation environment, only the application of training images can be satisfied with the established training images, which easily satisfy the requirements of geological modelling. Therefore, in the Sulige block, in the absence of seismic data or poor seismic data quality situation, artificial phases had been made in this paper by using training images. The results of statistical modelling of multi-point are more accurate and reliable. Training image is an important constraint method of multi-point geostatistical simulation and plays an important role in gas reservoir modelling.

Keywords

Sulige gas field Fluvial facies Multi-point statistics training images 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Bin Fu
    • 1
    • 2
  • Zhixin Ma
    • 1
    • 2
  • Weifeng Zhang
    • 1
    • 2
  • Qing Zhang
    • 1
    • 2
  • Longfei Zhou
    • 3
  1. 1.Sulige Research Center, PetroChina Chanqing Oilfield CompanyXi’anChina
  2. 2.National Engineering Laboratory for Exploration and Development of Low-Permeability Oil and Gas FieldXi’anChina
  3. 3.Xian Sinoline Petroleum Science & Technology Co. Ltd.Xi’anChina

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