首页|基于U2-Net的高精度多套层位追踪方法及应用

基于U2-Net的高精度多套层位追踪方法及应用

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层位追踪是地震资料解释中一项基础且重要的工作,常规智能层位追踪方法的精度难以满足实际生产需求.为此,提出了一种基于U2-Net的高精度多套层位追踪方法.首先,设计一种充填标签的制作方法,遍历地震数据每个像素点,判断当前像素点所在位置并为其划分一个层位区域;对于穿过断层的层位,则自动搜寻相邻层位,实现非全区层位、断层等复杂条件下的地震反射层位及不整合面的充填标签的制作;然后,利用充填标签,采用U2-Net网络模型对F3数据体和M工区地震资料进行训练.与U-Net+PPM网络模型相比,U2-Net网络模型的预测精度更高,稳定性更好,泛化性更强,训练时间更短,且预测复杂地区的地震反射层位的准确率和平均交并比都大于95%.该方法可以较好地适应低信噪比地震资料的层位追踪.
High-precision multi-set horizon tracking based on U2-Net and its application
Horizon tracking is basic and important work in seismic data interpretation,but the accuracy of con-ventional methods makes it difficult to meet the requirements of actual production.Therefore,this paper pro-poses a method for high-precision multi-set horizon tracking based on U2-Net.Firstly,a method is designed to produce filling labels,which traverse each pixel of seismic data to determine the location of each pixel and di-vide a horizon region for it.The method can automatically search for the adjacent horizons for the fault-crossing horizons,thus realizing the production of filling labels for the seismic reflection horizons and unconformities un-der the complex conditions of partial horizons and faults.Then,a U2-Net model is used to train the F3 data and the M-zone seismic data by utilizing the filling labels.Compared with the U-Net+PPM model,the U2-Net model has higher prediction accuracy,better stability,stronger generalization,and shorter training time.In ad-dition,its accuracy and Mean Intersection over Union both exceed 95%in predicting the seismic reflection hori-zons in complex areas.The proposed method can be better adapted to the horizon tracking of seismic data with low signal-to-noise ratio.

U2-Netsemantic segmentationhorizon labelingmulti-set horizon trackingnon-integrated surface

张世成、许辉群、杨平、孙颖、杨梦琼

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长江大学地球物理与石油资源学院,湖北武汉 430100

东方地球物理公司物探技术研究中心,河北涿州 072751

中国石油渤海钻探油气合作开发分公司,天津 300457

U2-Net 语义分割 层位标签 多套层位追踪 不整合面

中国石油基础研究专项课题

2023ZZ05-05

2024

石油地球物理勘探
东方地球物理勘探有限责任公司

石油地球物理勘探

CSTPCD北大核心
影响因子:1.766
ISSN:1000-7210
年,卷(期):2024.59(5)