Noise suppression of DAS seismic data with cross-shape multi-head self-attention mechanism

Lishan Ji, Bing Han, Qiang Jing, Yunjiang Rao, Huijuan Wu
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Abstract

Self-attention mechanism can help neural networks pay more attention to noise. By using cross-shaped multi-head self-attention mechanism, we construct a neural network to improve the quality of distributed acoustic sensing signals in oil/gas exploration effectively.
基于十字形多头自注意机制的DAS地震数据噪声抑制
自注意机制有助于神经网络对噪声的关注。利用十字形多头自关注机制构建神经网络,有效提高了油气勘探中分布式声传感信号的质量。
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