【摘要】 迪北气田位于库车坳陷北部构造带，主要发育阿合组储层。阿合组储层砂地比在80%以上，属于典型的高砂地比储层。阿合组储层以辫状水道为主，砂体厚度大，多期砂体相互叠置切割。传统建模技术难以刻画单砂体的几何形态和叠置样式，进而无法合理再现储层非均质性。以库车河露头剖面为基础，分别采用基于目标和基于二维数字化剖面两种方法构建训练图像。分别应用SNESIM(single normal equations simulation)方法和s2Dcd+DS(sequential bi-dimensional conditioning data+direct sampling)方法建立迪北气田工区三维砂体模型。采用直观分析和变差函数等定量参数结合井抽稀方法对比两种方法的建模效果。结果表明：在高砂地比情况下，采用基于二维数字化剖面的s2Dcd+DS方法构建的三维砂体模型更符合工区实际特征，能更好地表征高砂地比情况下砂体的几何形态和叠置关系，为储层非均质性的精细表征奠定了良好基础。该建模方法为高砂地比情况下的储层非均质性表征、三维砂体建模提供了新的解决思路和方法。更多还原

【Abstract】 Dibei gas field is located in the northern structural belt of the Kuqa Depression, hosts the Ahe Formation as its primary reservoir. The Ahe Formation is characterized by a sand-to-mud ratio exceeding 80%, classifying it as a typical high sand-to-mud ratio reservoir. Dominated by braided channel deposits, the reservoir features thick sand bodies with multi-stage stacking and erosional amalgamation. Conventional modeling techniques struggle to accurately delineate the geometric morphology and stacking patterns of individual sand bodies, leading to inadequate representation of reservoir heterogeneity. The Kuqa River outcrop profile was leveraged to construct two types of training images: object-based and 2D digitized cross-section-based approaches. Correspondingly, the single normal equations simulation(SNESIM) method and the sequential bi-dimensional conditioning data + direct sampling(s2Dcd+DS) method were employed to develop 3D sand body models for the Dibei gas field. The modeling results were evaluated through visual analysis, quantitative variogram parameters, and well data sparseness validation. The results demonstrate that under high sand-to-mud ratio conditions, the s2Dcd+DS method(based on 2D digitized cross-sections) produces 3D sand body models that better align with the actual geological characteristics of the study area. This method effectively captures the geometric configurations and stacking relationships of sand bodies in high sand-to-mud ratio settings, providing a robust foundation for the precise characterization of reservoir heterogeneity. The proposed workflow offers a novel approach for 3D sand body modeling and heterogeneity characterization in high sand-to-mud ratio reservoirs, advancing the integration of geological realism into reservoir models.更多还原