随机模拟在储层预测中的应用——以潜江凹陷新农地区潜江组为例  

Application of Random Inversion to Xinnong Area, Qianjiang Depression, Jianghan Basin

作　　者：郑爱萍[1] 刘春平[2] 

机构地区：[1]江汉油田分公司勘探开发研究院,湖北潜江433124 [2]中国地质大学,北京100083

出　　处：《江汉石油职工大学学报》2003年第3期34-36,共3页Journal of Jianghan Petroleum University of Staff and Workers

摘　　要：　Jason反演软件中的随机模拟模块,将地质统计学方法引入到了储层预测中,可用于滚动勘探开发初期及中后期,将有限的井资料与地震反演结果联合随机模拟,可弥补资料的不足,提高预测精度。在江汉盆地潜江凹陷新农地区运用该模块,成功地预测了潜341小层的渗透性砂岩对江汉盐湖盆地滚动勘探开发生产有积极的指导作用。A Random modeling module in the Jason inversion soft can be used in initial , mediate or later stages of progressive exploration and development , due to incorporating geostatistics into reservoir prediction. Even in cases of insufficient data, it can improve the prediction accuracy by integrating limit well dataand seismic inversion results into the random modeling.The fact that this module has been successfully used for prediction of permeable sandstones of the subzone Qian341 in Xingnong Area,Qianjiang Depression,Jianghan Basin suggests that it probably play an important role in the progressive exploration and development ofthe Jianghan saltlake basin. 

关 键 词：随机模拟 储层预测 应用 潜江凹陷 新农地区潜江组 油气地质 

分 类 号：P618.13[天文地球—矿床学] TE12[天文地球—地质学]