基于本地数据增强的地层边界划分模型集成方法

IF 2.2 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Jinlong Liu , Zhege Liu , Yajuan Xue , Junxing Cao , Yujia Lu , Hui Chen
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引用次数: 0

摘要

地层边界识别是油气藏位置地震解释的一项基本任务。在使用深度学习技术解释地层边界时,训练数据不足和样本不平衡是影响模型训练的常见挑战。在地质结构变化错综复杂的地区,U-Net 等传统深度学习分割算法往往难以准确捕捉复杂局部结构的特征。针对这些局限性,我们提出了一种模型集成方法,结合全局和局部不均匀类型地层数据增强,以提高不均匀类型区域地层边界识别的准确性。为解决类不平衡和复杂变化样本不足的问题,我们采用了分别训练全局和局部数据并整合预测的策略,从而处理了模型训练过程中不均匀类型地层数据和平坦类型地层数据之间的差异。通过对荷兰 F3 数据集稀疏标注剖面的测试,证明与基准 U-Net 模型相比,所提出的方法能有效提高地层边界的划分精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A model integration approach for stratigraphic boundary delineation based on local data augmentation

Identification of stratigraphic boundaries is a fundamental task in the seismic interpretation of oil and gas reservoir locations. When employing deep learning techniques to interpret stratigraphic boundaries, insufficient training data and sample imbalances are common challenges affecting model training. In regions with intricate geological structural changes, conventional deep-learning segmentation algorithms, such as U-Net often struggle to accurately capture the features of complex local structures. To address these limitations, we propose a model integration approach that incorporates global and local uneven-type stratigraphic data augmentation to enhance the accuracy of stratigraphic boundary identification in uneven-type regions. To address the problems of class imbalance and insufficient complex variation samples, we adopted a strategy of separately training global and local data and integrating predictions, thereby handling the disparity between uneven-type and flat-type stratigraphic data during model training. By testing the Netherlands F3 dataset with sparsely labeled profiles, it was demonstrated that the proposed method can effectively improve the delineation accuracy of stratigraphic boundaries compared to the benchmark U-Net model.

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来源期刊
Journal of Applied Geophysics
Journal of Applied Geophysics 地学-地球科学综合
CiteScore
3.60
自引率
10.00%
发文量
274
审稿时长
4 months
期刊介绍: The Journal of Applied Geophysics with its key objective of responding to pertinent and timely needs, places particular emphasis on methodological developments and innovative applications of geophysical techniques for addressing environmental, engineering, and hydrological problems. Related topical research in exploration geophysics and in soil and rock physics is also covered by the Journal of Applied Geophysics.
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