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Geometrical model based method for fault detection

机译：基于几何模型的故障检测方法

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This paper describes on-going researches at the LASIS(1) to develop new approaches for fault detection of seismic 3D volume data. The paper provides an overview of method that we have recently developed in order to automatically restore the fault network. Several coherency attributes have been proposed in the past ten years such as the so-called "coherency cube" or the multi-dip coherency estimate. In this paper, we extend the use of a time-vertical window to a steered one in order to provide directional coherency curves devoted to estimating fault direction. Furthermore, our method considers a model which assumes local linearity of fault geometry. Based on a directional search and continuity test, the proposed approach operates in three steps. First, for each dip-azimuth direction, a coherency estimate provides directional attribute curves. Secondly, in order to increase the selectivity of the detection, we introduce a non-linear steered filter applied on the attribute curves. The proposed filter uses a multi-segment criterion based on the linearity assumption. Thirdly, to improve the noise robustness of the detection, the attribute continuity is increased by means of a final accumulation step. This is obtained later by propagating the maximum value of the directional criterion in the local neighborhood of the surrounding voxel.
机译：本文介绍了LASIS（1）的正在进行的研究，以开发出用于地震3D卷数据的故障检测的新方法。本文概述了我们最近开发的方法，以便自动恢复故障网络。在过去的十年中提出了几种一致性属性，例如所谓的“一致性立方体”或多浸相干估计。在本文中，我们将使用时间垂直窗口的使用延伸到转向器，以便提供专门借鉴估计故障方向的方向一致性曲线。此外，我们的方法考虑了假冒故障几何的局部线性度的模型。基于定向搜索和连续性测试，所提出的方法以三个步骤操作。首先，对于每个倾向方向，一致性估计提供了方向属性曲线。其次，为了提高检测的选择性，我们引入了在属性曲线上施加的非线性转向滤波器。所提出的滤波器基于线性假设使用多段标准。第三，为了提高检测的噪声稳健性，通过最终的累积步骤增加了属性连续性。稍后通过传播周围体素的本地邻域中的方向标准的最大值来获得这一点。

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