海洋地质前沿2025，Vol.41Issue(12)：80-87,8.DOI:10.16028/j.1009-2722.2024.259
基于长短期记忆网络的横波速度预测方法
Shear wave velocity prediction based on long short-term memory network:a case study of Paleogene reservoir in Huizhou area,Zhu I Depression,Pearl River Mouth Basin
摘要
Abstract
The shear wave velocity is an important parameter for seismic prestack inversions and accurate predic-tion of the missing shear wave velocity in the well is a key step of reservoir identification.Traditional methods for predicting shear wave velocity based on petrophysical modeling is often limited by the assumptions of petrophys-ical models,making it difficult to achieve high prediction accuracy.Therefore,we fully leveraged the advantages of deep learning neural network technology and proposed a shear wave velocity prediction method based on long short-term memory networks.This method utilizes long short-term memory networks,combined with the unique characteristics of shear wave velocity curves in longitudinal time series,to deeply explore the mapping relation-ship between logging parameters and shear wave velocity,and successfully built a network model between the two,enabling the model to accurately predict shear wave velocity.This technique was applied to the Paleogene reservoir in Huixinan area,Zhu I Depression,the Pearl River Mouth Basin,South China Sea,and the missing shear wave velocity in the well was predicted.The prediction results show that compared to the estimation of shear wave velocity using traditional petrophysical models,the prediction results based on the long short-term memory networks have smaller errors,higher correlation coefficients,and higher prediction accuracy compared to the measured shear wave velocity.This study can lay a solid foundation for reservoir prediction through seismic prestack inversion in the future.关键词
长短期记忆网络/深度学习/横波速度预测/岩石物理建模Key words
long short-term memory network/deep learning/prediction of shear wave velocity/rock physical modeling分类
海洋科学引用本文复制引用
杨学奇,徐乐意,陈兆明,李杰,李坤娟,董国辉,程学欢..基于长短期记忆网络的横波速度预测方法[J].海洋地质前沿,2025,41(12):80-87,8.基金项目
中海石油(中国)有限公司"十四五"科技项目"陆缘裂谷盆地深层/超深层油气成藏条件与成藏机制研究"(KJGG2022-0403) （中国）
