Monitoring of water volume in a porous reservoir using seismic data: A 3D simulation study

IF 2.2 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Journal of Applied Geophysics Pub Date : 2024-07-17 DOI:10.1016/j.jappgeo.2024.105453
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Abstract

A potential framework to estimate the volume of water stored in a porous storage reservoir from seismic data is neural networks. In this study, the man-made groundwater reservoir is modeled as a coupled poroviscoelastic–viscoelastic medium, and the underlying wave propagation problem is solved using a three-dimensional discontinuous Galerkin method coupled with an Adams–Bashforth time stepping scheme. The wave problem solver is used to generate databases for the neural network-based machine learning model to estimate the water volume. In the numerical examples, we investigate a deconvolution-based approach to normalize the effect from the source wavelet in addition to the network's tolerance for noise levels. We also apply the SHapley Additive exPlanations method to obtain greater insight into which part of the input data contributes the most to the water volume estimation. The numerical results demonstrate the capacity of the fully connected neural network to estimate the amount of water stored in the porous storage reservoir.

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利用地震数据监测多孔储层的水量:三维模拟研究
根据地震数据估算多孔储层储水量的潜在框架是神经网络。在本研究中,人造地下水储层被建模为一种耦合的多孔弹性-粘弹性介质,并使用三维非连续伽勒金方法和亚当斯-巴什福斯时间步进方案来解决基本的波传播问题。波浪问题求解器用于为基于神经网络的机器学习模型生成数据库,以估算水量。在数值示例中,我们研究了一种基于解卷积的方法,以归一化源小波的影响,以及网络对噪声水平的容忍度。我们还应用了 SHapley Additive exPlanations 方法,以便更深入地了解输入数据中对水量估算贡献最大的部分。数值结果证明了全连接神经网络估算多孔水库储水量的能力。
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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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