束鹿凹陷沙河街组致密油复杂岩性测井识别技术

束鹿凹陷致密油储层岩性复杂,岩石结构和矿物成分多样,岩性识别困难。通过精细分析岩心资料与测井响应关系,建立了常规测井复合参数岩性识别图版,以及基于阵列声波、核磁和微电阻率扫描成像测井特征参数的岩性识别方法,编制了计算机程序,实现了4大类、9种岩性的自动判别,通过分析不同岩性孔隙结构、渗透性、脆性等参数特征,建立了储层优势岩石相的认识,为束鹿凹陷致密油储层综合评价奠定了基础。

Logging identification technology of tight-oil complex lithology of the Shahejie Formation in Shulu sag

Tight oil reservoirs in Shulu sag are characterized by complex lithology, diversified rock textures and mineral components, thus leading to make it difficult to lithological identification. In this study, lithological identification chart of conventional logging complex parameters was made through detailed analyses of response relationship between core data and well logging, and lithology identification method was established based on array acoustic wave, magnetic resonance and micro resistivity imaging logging characteristics. On this basis, a program was worked out to automatically identify nine types of lithology in four major categories. Through analyzing pore structure, permeability, brittle and other parameters of different lithologies, an understanding of dominant rock facies in reservoirs was established, providing a good foundation for comprehensive evaluation of tight oil reservoirs in Shulu sag.