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1. 西安石油大学地球科学与工程学院
2. 西安石油大学陕西省油气成藏地质学重点实验室
3. 中石化石油物探技术研究院有限公司
Published:2025
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田佳, 李萌, 罗浩. 基于U-Net神经网络的微地震有效事件自动拾取方法[J]. Bulletin of Geological Science and Technology, 2025, 44(6): 330-342.
田佳, 李萌, 罗浩. 基于U-Net神经网络的微地震有效事件自动拾取方法[J]. Bulletin of Geological Science and Technology, 2025, 44(6): 330-342. DOI: 10.19509/j.cnki.dzkq.tb20230689.
有效事件自动拾取是微地震监测的重要环节,拾取的准确性直接影响后续震源定位和震源机制反演的精度与可靠性。构建了10层U-Net神经网络模型框架,将三维有限差分模拟的原始微地震数据与实测储气库微地震原始数据制作为标签图像,将其切割为128×128大小切片并输入U-Net神经网络学习,输出预测后的切片并将其合并,再对预测后的图像进行二值化,最后提取微地震有效事件的P波初至,使得背景噪声与有效信号图像的边缘分割更加精细,提高了微地震有效事件的自动拾取效率与准确性。定量分析对比了U-Net与STA/LTA法的拾取率、错拾率和拾取误差,测试结果表明,U-Net的拾取效果优于STA/LTA法,而且U-Net也具有较强的抗干扰能力与泛化能力;评价不同标签宽度对初至拾取结果.的影响,结果表明依据事件的主周期制作的标签拾取效果最佳。本研究建立的U-Net神经网络初至自动拾取算法是高效、高精度储气库完整性微地震智能监测系统的重要组成部分,对提高我国微地震监测技术水平具有重要意义。
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