Borehole radar (BHR) is an effective imaging tool. It can be used to detect and map faults, fractures, folds, domes, partings and mine workings. Most BHRs have azimuthally omnidirectional radiation patterns. The echoes sensed by such BHRs may come from any direction. Considering a radar in a straight borehole that passes through a stack of flat reflection planes, V-shaped events or crosses appear on the time section. One of the arms of each cross is a real image while the other is an ambiguity of known origin. Directional ambiguities such as these obstruct efforts to interpret the data. In this paper, we address this difficulty by using a modified f–k migration algorithm to translate crosses into lines on the final section that are consistent with a priori information about for example bedding. Compared with conventional strategies, for example migration + f–k dip filter, this approach integrates the two separated processes into one and is straightforward, computationally effective and simple to implement. The method is demonstrated using a synthetic model and a real BHR field data set. It allows the interpreter to use a priori information about fault swarms or plausible bedding planes at an early stage. The reconstructed BHR image helps the search for geological anomalies such as fractures, partings, domes and rolls that could be a hazard for mining.

中文翻译：

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通过改进的f - k偏移重建井眼雷达图像

钻孔雷达（BHR）是有效的成像工具。它可用于检测和绘制断层，断裂，褶皱，穹顶，分离和矿山作业图。大多数BHR具有方位角全向辐射图。这种BHR感应到的回声可能来自任何方向。考虑到直井眼中的雷达穿过一堆平面反射平面，在时间段上会出现V形事件或交叉。每个十字架的手臂之一是真实的图像，而另一手臂则是已知起源的歧义。诸如此类的方向性歧义阻碍了解释数据的努力。在本文中，我们通过使用改进的f–k迁移算法将十字线转换为与先验先验相一致的线段，从而解决了这一难题有关例如床上用品的信息。与传统策略（例如，迁移+  fk浸入滤波器）相比，该方法将两个分离的过程集成为一个过程，简单，计算有效且易于实现。使用综合模型和真实的BHR现场数据集演示了该方法。它允许解释器在早期阶段使用有关断层群或合理的层理平面的先验信息。重建的BHR图像有助于搜索可能对采矿造成危害的地质异常，例如裂缝，分离，穹顶和隆起。