Synthetic 3D Seismic Volumes and Fault Labels for Strike-Slip Flower Structures in Carbonate Reservoirs

This dataset contains synthetic three-dimensional seismic volumes and corresponding fault-label volumes generated for deep-learning-based fault detection in carbonate strike-slip fault systems with flower structures. The data were generated following the workflow described in the manuscript “Synthetic Seismic Modeling of Strike-Slip Fault Systems with Flower Structures in Carbonate Reservoirs”. The workflow integrates fractal-based stratigraphic modeling, strike-slip fault construction with flower-like geometries, carbonate-specific velocity assignment, wave-equation-based seismic forward modeling, least-squares reverse time migration (LSRTM), and dataset extraction. The generated models include structurally variable fault segments, including translational, transpressional, and transtensional styles, to represent complex carbonate fault systems. Each data volume is stored in NumPy `.npy` format and has a shape of 129 × 129 × 179. The files can be read directly in Python using: `numpy.load("filename.npy")` The dataset is intended for training, validation, and testing of seismic fault detection methods, especially data-driven approaches targeting complex carbonate reservoirs and strike-slip fault systems. The seismic volumes provide synthetic migrated seismic responses, and the associated label volumes provide the corresponding fault annotations.本数据集涵盖为开展基于深度学习的碳酸盐岩走滑断层系统（含花状构造）断层检测任务而生成的合成三维地震体与对应断层标注体。 数据生成遵循论文《碳酸盐岩储层含花状构造走滑断层系统的合成地震建模》（原标题："Synthetic Seismic Modeling of Strike-Slip Fault Systems with Flower Structures in Carbonate Reservoirs"）中所述的流程。该流程整合了基于分形的地层建模、花状几何形态走滑断层构建、碳酸盐岩专属速度赋值、基于波动方程的地震正演模拟、最小二乘逆时偏移（least-squares reverse time migration, LSRTM）以及数据集提取步骤。 所生成的模型包含结构各异的断层段，涵盖平移型、压扭型与张扭型三种样式，以表征复杂的碳酸盐岩断层系统。 每个数据体均以NumPy的`.npy`格式存储，尺寸为129 × 129 × 179。可通过Python直接读取该文件，代码如下： `numpy.load("filename.npy")` 本数据集旨在用于地震断层检测方法的训练、验证与测试，尤其适用于针对复杂碳酸盐岩储层及走滑断层系统的数据驱动型方法。其中地震体提供合成的偏移地震响应，配套的标注体则提供对应的断层标注信息。