• DocumentCode
    2603786
  • Title

    Application of Stochastic Modeling Technology to the Sha26 Block in Shanian Oilfield

  • Author

    Ding, Fang ; Zhang, Jinliang ; Wang, Jinkai

  • Author_Institution
    Coll. of Resources Sci., Beijing Normal Univ., Beijing, China
  • fYear
    2010
  • fDate
    17-18 April 2010
  • Firstpage
    47
  • Lastpage
    50
  • Abstract
    Shanian oilfield is constituted by a number of complex fault-blocks, after nearly 10 years of waterflooding development, the relation between oil and water underground reservoirs is complex. In this case, it is difficult to predict accurately the distribution of inter-well reservoir parameters and the rich region of residual oil. Thus it is an emphasis to build a fine reservoir model, as available knowledge is limited about reservoir geometries, variogram based on stochastic modeling can be an appropriate method, where it is possible to acknowledge trends, reservoir direction continuity, facies fractions and heterogeneity of physical property. This paper puts the seismic, well logging, geological and develop dynamic research results all together, and focus a variety of stochastic modeling methods to achieve facies-controlled property modeling, ensuring the three-dimensional quantitative geological model reasonable.
  • Keywords
    geology; solid modelling; stochastic processes; 3D quantitative geological model; Sha26 block; Shanian oilfield; inter-well reservoir parameters; reservoir geometries; stochastic modeling technology; variogram; waterflooding development; Anisotropic magnetoresistance; Geologic measurements; Geology; Geometry; Hydrocarbon reservoirs; Petroleum; Solid modeling; Stochastic processes; Water resources; Wearable computers; facies fractions; facies-controlled property modeling; microfacies model; stochastic modeling; variogram;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wearable Computing Systems (APWCS), 2010 Asia-Pacific Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-6467-8
  • Electronic_ISBN
    978-1-4244-6468-5
  • Type

    conf

  • DOI
    10.1109/APWCS.2010.19
  • Filename
    5481106