Integrating More Hard Data for Sedimentary Facies Modeling: A New Algorithm Based on Neural Network and Krigging Theories

Abstract

Facies are important in reservoir modeling because the petrophysical properties of interest are highly correlated with facies type. Knowledge of facies constrains the range of variability in porosity, permeability and... [ view full abstract ]

Authors

  1. Suihong Song (China University of Petroleum -Beijing)
  2. Jiagen Hou (China University of Petroleum -Beijing)
  3. Yuming Liu (China University of Petroleum -Beijing)
  4. Sifan Cao (China University of Petroleum -Beijing)
  5. Chenbin Hu (China University of Petroleum -Beijing)
  6. Xixin Wang (China University of Petroleum -Beijing)

Topic Area

Topics: Remote sensing, imaging and 3D rendering

Session

PS5 » New and revised methods - Poster Session (09:00 - Monday, 23rd May)

Presentation Files

The presenter has not uploaded any presentation files.