基于内部充填模型的断控型油藏建模方法及应用

doi:10.7657/XJPG20260113

摘要/Abstract

摘要：

塔河油田奥陶系碳酸盐岩储集层储集空间复杂且非均质性强，为储集层表征和建模带来挑战。提出断控型油藏储集体内部充填模型建模方法，采用“岩性-构造双约束、分级建模、分类融合”思路构建高精度模型。首先基于断控型油藏成因与储集体特征，将储集体划分为溶洞、溶孔和裂缝3类结构单元分别雕刻。溶洞与溶孔采用截断值确定性建模与人工修正建立轮廓，结合测井岩相划分储集层，并通过深度神经网络与地震反演数据融合实现充填结构精细表征。断裂及裂缝系统按尺度分级刻画：大断裂通过蚂蚁体追踪与相干属性识别；中—小断裂基于绕射波张量蚂蚁体结合体积约束建立；裂缝采用离散裂缝网格建模精细表征。继而依据成因机制-储渗功能-工程应用三元耦合原则进行多尺度模型融合，最终建立基质-裂缝双重介质地质模型。以塔河油田某单元为例，建立的高精度充填模型在静态储量与生产动态验证中与生产数据高度吻合，有效支撑了剩余油挖潜与开发调整模拟，显著提升了此类油藏数值模拟的可靠性。

关键词: 塔河油田, 断控型油藏, 地质建模, 内部充填模型, 神经网络, 地震反演

Abstract:

The complex and highly heterogeneous reservoir space in the Ordovician carbonate reservoirs in Tahe oilfield poses significant challenges to reservoir characterization and modeling. This paper proposes a modeling method for fault-controlled reservoirs based on internal filling model, enabling the construction of a high-precision model with the methodology of lithology-structure dual constraints, hierarchical modeling, and categorical integration. First, depending on the genesis of fault-controlled reservoirs and the characteristics of reservoir architectures, the reservoirs are divided into three types of structural units: vugs, pores, and fractures. Vugs and pores are delineated by using deterministic modelling with cutoff value and corrected manually to define their boundaries; combined with log-derived lithofacies, the reservoirs are identified, and the internal architecture is finely characterized by integrating deep neural network with seismic inversion data. Faults and fractures are characterized at different scales: large faults are identified through ant-tracking and coherence attributes; small-medium faults are defined by diffraction tensor ant-tracking with volume constraints; and fractures are finely described via discrete fracture network (DFN) modeling. Next, based on the coupling of genetic mechanism, storage-permeability function, and engineering application, multi-scale model integration is performed. Finally, a matrix-fracture dual-medium geological model is established. Application in a unit of the Tahe oilfield has demonstrated that the high-precision filling model yields the validated results of static reserves and production performance in good agreement with the actual production data. The proposed model can effectively support the simulations of remaining oil recovery and development adjustment, and significantly enhance the reliability of numerical simulation for such reservoirs.

Key words: Tahe oilfield, fault-controlled reservoir, geological modeling, internal filling model, neural network, seismic inversion

中图分类号:

TE344
P618

田元, 王佳乐, 乐平, 赵黎明, 张莹, 范庆振, 耿洁, 牟昱. 基于内部充填模型的断控型油藏建模方法及应用[J]. 新疆石油地质, 2026, 47(1): 116-125.

TIAN Yuan, WANG Jiale, YUE Ping, ZHAO Liming, ZHANG Ying, FAN Qingzhen, GENG Jie, MOU Yu. Modeling Method for Fault-Controlled Reservoirs Based on Internal Filling Model and Its Application[J]. Xinjiang Petroleum Geology, 2026, 47(1): 116-125.

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