计算机工程2026，Vol.52Issue(9)：457-468,12.DOI:10.19678/j.issn.1000-3428.0252025
融合亲和传播聚类与图卷积神经网络的成岩相标注方法
Labeling Method for Diagenetic Facies Integrating Affinity Propagation Clustering and Graph Convolutional Neural Networks
摘要
Abstract
Annotation of diagenetic facies samples is a crucial step in ensuring the accuracy of intelligent diagenetic facies recognition.To address the challenges of high sample demand and limited accuracy in current automatic annotation technologies,this paper proposes an automatic annotation method AP-GCN,which integrates Affinity Propagation(AP)clustering and Graph Convolutional neural Network(GCN).This method effectively integrates the advantages of AP clustering in capturing complex correlations with the capability of GCN for mining spatial distribution features.The Fuyu oil layer within the Zhouliu Block of the Sanzhao Depression in the Songliao Basin is selected as the target area to implement the automatic annotation of diagenetic facies samples.First,diagenetic facies types are summarized and the logging curve data are preprocessed;a limited number of labels are annotated to construct an automatic annotation dataset,which forms the basis for the subsequent automatic annotation process.Second,a graph structure is constructed by using AP clustering to establish correlations between the depth nodes of the logging curves.Subsequently,the node features are aggregated through the graph convolutional layer to achieve rapid and accurate annotation of diagenetic facies.Finally,a comparative experiment is designed to verify the effectiveness of the proposed method.The experimental results demonstrate that the precision of the AP-GCN method for various diagenetic facies annotations exceeds 86％,with recall above 90％and F1 value above 88％.The proposed method achieves an annotation accuracy of 90.6％,confirming its effectiveness and practicality.It provides a novel solution for the automatic annotation of diagenetic facies samples.关键词
成岩相/成岩相识别/自动标注/图卷积神经网络/亲和传播聚类Key words
diagenetic facies/diagenetic facies identification/automatic labeling/Graph Convolutional neural Network(GCN)/Affinity Propagation(AP)clustering分类
信息技术与安全科学引用本文复制引用
张可佳,王晓凡,刘涛,刘宗堡,张岩,王晨雨,王浩然..融合亲和传播聚类与图卷积神经网络的成岩相标注方法[J].计算机工程,2026,52(9):457-468,12.基金项目
国家自然科学基金面上项目(42172161) （42172161）
黑龙江省自然科学基金联合基金重点项目(ZL2024D003) （ZL2024D003）
黑龙江省自然科学基金(LH2022D011) （LH2022D011）
黑龙江省教育厅基本科研业务费专项资金(2024YSKYFX-01) （2024YSKYFX-01）
大庆市指导性科技计划(zd-2024-05). （zd-2024-05）
