摘要
针对砂泥岩薄互层非均质性强、单层砂体薄、储层识别困难的工区,进行了地质统计学反演,并与常规约束稀疏脉冲反演结果进行了对比分析,结果表明:常规约束稀疏脉冲波阻抗反演只能识别大套砂体,无法识别薄互层小砂体,而基于储层参数地质统计分析和随机模拟技术的地质统计学反演方法充分发挥了测井数据的垂向高分辨率和地震数据的横向高分辨率优势,可实现砂泥岩薄互层储层砂体分布的精细描述,变差函分析及马尔科夫链-蒙特卡罗随机模拟技术对于厚度在5m以下的小砂体也能较清晰地刻画。
Aimed at prospecting areas with mainly interbedded thin sandstone and mudstone, thin single sand mass and difficult to identify reservoirs carried out geostatistical inversion and conventional constrained sparse spike inversion contrastive analysis. The result has shown that the conventional constrained sparse spike inversion can only identify large set of sand mass and unable to identify interbedded thin and small sand mass. While the geostatistical inversion based on reservoir parameters geostatistical analysis and stochastic simulation technique can give full play to the predominance of well logging data vertical high resolution and seismic data transverse high resolution and realize accurate description of interbedded thin sandstone and mudstone reservoir sand mass distribution. The variograms analysis and Markov chain-Monte Carlo stochastic simulation technique can clearly describe small sand mass with thickness less than 5m.
出处
《中国煤炭地质》
2015年第4期57-62,共6页
Coal Geology of China
基金
国家自然科学基金(41204089
41174087)部分饱和孔隙介质中地震波的衰减和频散机理研究
关键词
地质统计学反演
约束稀疏脉冲反演
变差函数
储层预测
geostatistical inversion
constrained sparse spike inversion
variograms
reservoir prediction