High-precision seismic fault detection and fault surface extraction (or grouping) are critical steps in reservoir characterization. In this article, basing on the gradually changing characteristics of the target faults in the adjacent 2-D seismic fault profiles, we propose an efficient and high-precision automatic fault surface grouping (EHFG) method for complex 3-D seismic fault data; and it is realized using pairs of adjacent 2-D seismic fault profiles without human intervention. EHFG comprises of high-precision fault separation (HFS) and high-precision fault labeling (or naming) (HFL), in which HFS aims to separate the positive-slope and negative-slope faults in the seismic fault detection result and ultimately obtain the high-precision positive-slope and negative-slope faults; HFL aims to label the separated positive-slope and negative-slope faults and ultimately obtain the corresponding high-precision fault surface grouping results. An actual 3-D seismic fault data example demonstrates that EHFG is a good potential technique for fault surface grouping.

中文翻译：

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3-D 地震断层数据中的有效断层表面分组


高精度地震断层检测和断层面提取（或分组）是储层表征的关键步骤。本文基于相邻二维地震断层剖面中目标断层的逐渐变化特征，提出了一种针对复杂三维地震断层数据的高效高精度自动断层面分组（EHFG）方法；它是利用成对的相邻二维地震断层剖面来实现的，无需人工干预。 EHFG由高精度断层分离（HFS）和高精度断层标记（或命名）（HFL）组成，其中HFS的目的是分离地震断层探测结果中的正斜率和负斜率断层，最终获得高精度正斜率和负斜率断层； HFL的目的是对分离的正斜率和负斜率断层进行标记，最终获得相应的高精度断层面分组结果。实际的 3-D 地震断层数据示例表明 EHFG 是断层表面分组的一种良好的潜在技术。