杨文博,盖永浩,张文祥,邓聪

• 1:中国海洋石油(中国)有限公司湛江分公司

摘要(Abstract)：

在实际勘探记录处理过程中，复杂随机噪声的出现严重影响了有效反射信息的提取，并对资料后续处理带来了不利影响。随着非常规油气资源开发，对勘探记录质量提出了更高的要求，常规方法在处理能力方面需要持续提升。为了解决复杂噪声消减问题，笔者将最优控制网络引入随机噪声消减领域。与传统的单一尺度消噪网络不同，FOC-NET具有分层结构，能够利用不同尺度信息并结合信息融合处理实现地震勘探数据潜在特征的高精度提取，克服了传统去噪网络单一尺度信息提取造成的有效特征损失问题。同时，在面对低信噪比勘探记录和弱反射同相轴时，多尺度特征交互方式同样可以有效提高噪声压制和信号恢复能力。合成记录和实际数据处理结果均表明，即使在低信噪比条件下，FOC-NET仍能有效地抑制随机噪声并准确重构出有效反射信息，极大提升勘探资料的质量。

关键词(KeyWords)： 地震勘探;随机噪声消减;低信噪比;卷积神经网络;最优控制网络;分数阶

Abstract:

Keywords:

基金项目(Foundation): 广东省促进经济高质量发展专项(海洋经济发展)重点项目(GDNRC[2022]29)

作者(Author): 杨文博,盖永浩,张文祥,邓聪

DOI: 10.19509/j.cnki.dzkq.2022.0163

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