新疆石油地质

›› 2016, Vol. 37 ›› Issue (1): 1-1.doi: 10.7657/XJPG20160121

• 论文 •    

云变换在中东地区H油田碳酸盐岩储集层预测中的应用

陈志刚1，2，刘雷颂2，高 军2，代双和2，杨 雨2，韩宇春2   

  1. (1.中国地质大学 能源学院,北京 100083;2.中国石油集团 东方地球物理公司 研究院地质研究中心,河北 涿州 072751)
  • 出版日期:2019-01-01 发布日期:1905-07-12

Application of Cloud Transform to Prediction of H Oilfield Carbonate Reservoirs in Middle East

CHEN Zhigang1,2, LIU Leisong2, GAO Jun2, DAI Shuanghe2, YANG Yu2, HAN Yuchun2   

  1. (1.School of Energy Resources, China University of Geosciences, Beijing 100083, China;2. Geological Research Center, BGP, CNPC, Zhuozhou, Hebei 072751, China)
  • Online:2019-01-01 Published:1905-07-12

PDF

69

摘要： 中东地区H油田的油气单井产量与储集层渗透率呈正相关，但波阻抗与渗透率呈非线性关系，利用常规的线性转换方法将波阻抗转换为渗透率效果不好，符合率仅50%. 云变换是一种非线性随机模拟方法，解决了线性偏离点与整体属性数据的函数关系，其过程是首先通过实际数据概率分布与概率函数模拟预测的符合度选择概率函数，然后分别针对储集层和非储集层，利用概率函数建立波阻抗与渗透率的转换关系云模型，最后利用云模型将波阻抗转换为渗透率。通过云变换，H油田预测渗透率符合率达到90%以上。

Abstract: The well production of H oilfield in Middle East is positive correlation with the reservoir permeability, but the seismic wave impedance is of nonlinear relationship with the permeability. So using regular linear transform approach to convert the impedance into the permeability is only 50% in accordance rate. Cloud transform is a nonlinear stochastic simulation method, by which the functional relationship between linear deviation points and overall attribute data can be resolved. The procedures are as follows: 1) Select probability function according to the accordance rate between real data probability distribution and simulation prediction results by the function; 2) develop the cloud model for impedance?permeability conversion using the function; 3) convert the impedance into the permeability by using the cloud model. Through the cloud transform, the accordance rate for permeability prediction of H oilfield can reach more than 90%, and this method could be applied to other areas with similar geology conditions

中图分类号: