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A new method for lithology identification of fine grained deposits and reservoir sweet spot analysis: A case study of Kong 2 Member in Cangdong sag, Bohai Bay Basin, China

机译:细粒沉积岩性识别和储层甜点点分析的新方法-以渤海湾盆地苍洞凹陷孔二段为例

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Based on systematic coring of 500 m of Kong 2 Member of the Paleogene Kongdian Formation in Cangdong sag of Bohai Bay Basin, identification and XRD (X-Ray Diffraction) analysis of over 1000 thin sections, a simplified method to quantitatively calculate contents of fine grained minerals with conventional logging data such as acoustic travel time (AC) and density log (DEN) has been proposed, and a quick lithologic identification “green mode” has been worked out in this study. By fitting the relationship between normalization of logging curves and mineral content measured by XRD, the mineral contents of sections or wells not cored can be calculated to identify lithology. With this method, several dolomite sweet spot intervals and one sandstone sweet spot interval have been found in the Kong 2 Member of Cangdong sag, where high production oil and gas flows have been tapped from drilled wells. The study shows that the dolomite is in band distribution and enriched in local parts of the study area. This method is applicable to lithologic identification of fine grained deposits in front delta-lake basin center, especially lithologic identification of mud and dolomite dominated fine grained deposits with low sand content of semi-deep, deep lake facies.
机译:基于渤海湾盆地苍东凹陷古近系孔店组孔2段500 m的系统取心,对1000多个薄片进行了识别和XRD分析,是一种定量计算细粒含量的简化方法已经提出了具有常规测井数据(如声波传播时间(AC)和密度测井(DEN))的矿物,并且在此研究中已经设计出一种快速岩性识别“绿色模式”。通过拟合测井曲线归一化和XRD测量的矿物含量之间的关系,可以计算未取芯的部分或井的矿物含量,以识别岩性。通过这种方法,在苍洞凹陷的孔二段发现了几个白云岩的甜点区间隔和一个砂岩的甜点区间隔,那里从钻井中开采了高产的石油和天然气。研究表明,白云岩呈带状分布,并富集在研究区域的局部。该方法适用于三角洲前湖盆地中部细粒沉积的岩性识别,尤其适用于半深,深湖相含砂量低的泥质和白云岩为主的细粒沉积的岩性识别。

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