深层高孔渗碳酸盐岩储层岩相识别模式与应用——以普光气田为例
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摘要
普光气田储层岩性岩相复杂、埋藏深,非均质性强,利用地震资料进行高孔渗储层预测难度大。据该区10口井的测井资料统计,该区存在两类9种储层,其中鲕粒亚相、砂屑砾屑亚相、生物礁亚相为有利的高孔渗储层类型。本文以高精度储层反演成果为主线,结合岩性岩相、区域沉积背景分析,依据不同相带在反演剖面上的外部形态、内部结构以及与围岩的关系,建立了普光气田主体高孔渗储层相带预测模式,预测了普光气田有利的高孔渗储层分布,为该区进一步勘探提供了依据。
It is very difficult to predict of deep high-porosity and high-permeability reservoirs in Puguang Gas Field by seismic data due to their complex lithology,lithofacies and strong anisotropy.Based on logging data of 10 wells in the gas field,two categories of reservoirs exists,which include nine kinds of reservoirs,among of which oolite subfacies,sand-gravel subfacies and reef subfacies are beneficial reservoir types of high porosity and high permeability.In this work,a lithofacies identification model for deep high-porosity and high-permeability reservoir is proposed based on high-accuracy inversion.Combining lithofacies and regional sedimentary setting analysis,external feature,internal structure and relationship with surrounding rocks,high-porosity and high-permeability carbonate reservoirs in Puguang Gas Field are predicted for further exploration.
引文
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