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Multitask Weighted Adaptive Prestack Seismic Inversion

摘要:Traditional deep learning methods pursue complex and single network architectures without considering the petrophysical relationship between different elastic parameters. The mathematical and statistical significance of the inversion results may lead to model overfitting, especially when there are a limited number of well logs in a working area. Multitask learning provides an effective approach to addressing this issue. Simultaneously, learning multiple related tasks can improve a model's generalization ability to a certain extent, thereby enhancing the performance of related tasks with an equal amount of labeled data. In this study, we propose an end-to-end multitask deep learning model that integrates a fully convolutional network and bidirectional gated recurrent unit for intelligent prestack inversion of "seismic data to elastic parameters." The use of a Bayesian homoscedastic uncertainty-based loss function enables adaptive learning of the weight coefficients for different elastic parameter inversion tasks, thereby reducing uncertainty during the inversion process. The proposed method combines the local feature perception of convolutional neural networks with the long-term memory of bidirectional gated recurrent networks. It maintains the rock physics constraint relationships among different elastic parameters during the inversion process, demonstrating a high level of prediction accuracy. Numerical simulations and processing results of real seismic data validate the effectiveness and practicality of the proposed method.

关键字:Prestack seismic inversion; Multitask learning; Fully convolutional neural network; Bidirectional gated recurrent neural network

ISSN号:1672-7975

卷、期、页:卷21期2:1-14

发表日期:2024-06-01

期刊分区(SCI为中科院分区):四区

收录情况:SCI(科学引文索引印刷版),EI(工程索引),SCIE(科学引文索引网络版)

发表期刊名称:APPLIED GEOPHYSICS

参与作者:Liu, Hao-jie

通讯作者:孙傲雪,孙傲雪

第一作者:袁三一,骆春妹,王尚旭

论文类型:期刊论文

论文概要:孙傲雪,袁三一,孙傲雪,骆春妹,Liu, Hao-jie,王尚旭,Multitask Weighted Adaptive Prestack Seismic Inversion,APPLIED GEOPHYSICS,2024,卷21期2:1-14

论文题目:Multitask Weighted Adaptive Prestack Seismic Inversion

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