• DocumentCode
    3432483
  • Title

    A new study on the integrating of random walk process and multiple point geostatistics to model the fluvial reservoir

  • Author

    Yin Yanshu ; Ding Hui ; Shi Shuyuan

  • Author_Institution
    Sch. of Geosci., Yangtze Univ., Jingzhou, China
  • fYear
    2011
  • fDate
    3-5 Aug. 2011
  • Firstpage
    348
  • Lastpage
    350
  • Abstract
    The multiple point geostatistics can not reproduce the continuous shape of the channel due to the limitation of the algorithm with random draw of the simulated value. A new method is proposed which integrates the random walk process with multiple point geostatistics. First the random walk process produces the channel main streamline, then the draw of simulated value in multiple point geostatistics is conducted by the streamline. The method solves the continuities problem in channel. The real model is constructed with both the new method and only the multiple point geostatistics and the results show the new method can reproduce the continuous sinuous channel. A cross-validation is implemented and the result is also well, which proves the new method is robust and can be put into real reservoir modeling.
  • Keywords
    geophysical image processing; hydrocarbon reservoirs; random processes; statistical analysis; channel main streamline; continuous sinuous channel; fluvial reservoir model; multiple point geostatistics; random walk process; Data models; Geology; Mathematical model; Reservoirs; Rivers; Shape; Statistical analysis; fluvial reservoir; integrating modeling; multiple point geostatistics; random walk process;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2011 6th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-9717-1
  • Type

    conf

  • DOI
    10.1109/ICCSE.2011.6028651
  • Filename
    6028651