随机反演在文昌A油田储层非均质性研究中的应用
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摘要
地震反演是油气储层预测的关键技术,该技术可以将地震信息转换成具有直接地质意义的油气藏参数信息,因而在地质研究中发挥着重要作用。叠后地震随机反演方法兼顾了地震数据的横向分辨率与测井数据的纵向分辨率,更是在油气藏描述方面具有显著优势。这里以文昌A油田ZJ2-1油组储层为研究对象,在分析储层岩石物理特征的基础上,选取多井平均子波,建立低频模型,利用约束稀疏脉冲反演来确定水平变差函数,通过测井数据的分析确定垂直变差函数,从而进行地震随机反演,在储层的非均质性研究中取得了较好的效果。
Seismic inversion is the hotspot of the prediction of oil and gas,which can change the information of reflection interface expressed by seismic data into information of reservoir parameters including directly geological significance,so it has attracted a lots of geological researchers.Post stack seismic random inversion has significant advantages in reservoir description,which takes the lateral resolution of seismic data and the vertical resolution of logging data into account.In this paper,for the study of reservoir of the oil group of ZJ2-1 in Wenchang A oil field,we select the average wavelet of multiple wells,establish the low-frequency model,and determine the function of level variation using the constrained sparse spike inversion and the function of vertical variation by the analysis of log data based on the analysis of lithology characteristics of the reservoir,and take the seismic random inversion.The good results are achieved in the study of reservoir heterogeneity.
引文
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