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作 者:郭海伟 GUO Haiwei(Informatization Management Center,Zhongyuan Oilfield Company,SINOPEC,Puyang 457001,China)
机构地区:[1]中国石化集团中原油田信息化管理中心,河南濮阳457001
出 处:《断块油气田》2025年第1期133-140,共8页Fault-Block Oil & Gas Field
基 金:中原油田分公司科技项目“东濮老区数字化提效技术研究”(QDLY2302-04)。
摘 要:沉积微相模型的预测构成了相控储层参数建模的核心,并且是进行剩余油分布及储层精细描述的关键前提。为了提高沉积微相预测的准确性,文中提出了一种基于形态学闭操作的沉积微相预测方法。首先,本研究通过物源方向和变差函数量化了沉积微相在空间上的相关性及其变化;然后,采用指示克里金方法进行沉积微相的确定性建模;最后,结合变差函数和形态学中的闭操作,构建了沉积微相的时序性特征,预测其发育趋势。与传统的预测方法相比,该方法在传统地质统计学的基础上,引入形态学闭操作以辅助沉积微相预测,充分考虑了沉积微相发育的时序特征,更符合地质规律的认识,实现了地质理论与形态学的有效融合。结果表明,该方法在沉积微相的连续性和预测精度方面均展现出良好的效果。The prediction of sedimentary microfacies model is the core of facies-control reservoir parameter modeling,and is the key premise of remaining oil distribution and fine reservoir description.In order to improve the accuracy of sedimentary microfacies prediction,a sedimentary microfacies predoction method based on morphological closing operation is proposed.Firstly,the spatial correlation and variation of sedimentary microfacies were quantified by source direction and variograms.Then,the deterministic modeling of sedimentary microfacies was carried out by the indicator Kriging method.Finally,the temporal characteristics of the sedimentary microfacies were constructed and their development trend was predicted by combining the variograms and the closing operation in morphology.Compared with the traditional prediction method,this method used the morphological closing operation to assist the prediction of sedimentary microfacies on the basis of traditional geostatistics,fully considered the time sequence characteristics of sedimentary microfacies development,and this method is more consistent with the understanding of geological laws,realizing the effective integration of geological theory and morphology.The results show that this method is effective in the continuity and prediction accuracy of sedimentary microfacies.
分 类 号:TE19[石油与天然气工程—油气勘探]
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