西南石油大学学报(自然科学版)

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Interlayer Modeling with Sequential Indicator Simulation Method

Pan Shaowei1, Luo Haining2, Guo Zhi3   

  1. 1. School of Computer Science,Xi´an Shiyou University,Xi´an,Shaanxi,710065,China
    2. Research Institute of Exploration and Development,Tarim Oilfield Company,PetroChina,Korla,Xiangjiang 841000,China
    3. Research Institute of Petroleum Exploration & Development,PetroChina,Haidian,Beijing 100083,China
  • Online:2014-10-01 Published:2014-10-01

Abstract:

The interlayer has an important influence on the distribution of remaining oil in the late period of oilfield development.
In order to find out the the distribution of remaining oil of the 1st-3rd sandstone in Es2,the 3D distribution modeling
of interlayer is established with the different variation function range based on the fine description of the lithology,physical
property and electrical property. Then,different random seeds are used to develop the 3D distribution modeling with the same
variation function range. At last,all the models of interlayer are tested to find out the best model of which the predicted values
of all indexes are the closest to the actual values. The results of interlayer modeling show that too big or too small variation
function range will cause the uncontinuity of modeling with the same random seed and that the impact on modeling with different
random seeds is very small in the case of denser well network. The interlayer modeling of the 1st –3rd sandstone in Es2
has an important significance on the confirmation of its 3D distribution.

Key words: Es2, interlayer, modeling, range, sequential indicator simulation method