A three-dimensional geological structure modeling framework and its application in machine learning

DOI10.1007/s11004-022-10027-9zbMath1522.86013MaRDI QIDQ6084330

Zhongxian Cai, Xu Si, Yatong Cui, Shenghou Wang

Publication date: 31 October 2023

Published in: Mathematical Geosciences (Search for Journal in Brave)

zbMATH Keywords

three-dimensional modelingseismic interpretationmachine learning setsU-shaped convolutional network

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Computational methods for problems pertaining to geophysics (86-08) Mathematical modeling or simulation for problems pertaining to geophysics (86-10)

Cites Work

• Building and editing a sealed geological model
• Surface-based 3D modeling of geological structures
• Three-dimensional modelling of geological surfaces using generalized interpolation with radial basis functions
• An uncertainty model for fault shape and location
• Discrete smooth interpolation in geometric modelling
• Stochastic structural modeling
• Three-dimensional structural geological modeling using graph neural networks
• Semi-supervised multi-facies object retrieval in seismic data
• Statistical interpolation of spatially varying but sparsely measured 3D geo-data using compressive sensing and variational Bayesian inference
• Seismic stratum segmentation using an encoder-decoder convolutional neural network
• Structural interpretation of sparse fault data using graph theory and geological rules. Fault data interpretation
• Linear waveform tomography inversion using machine learning algorithms
• Machine learning: Trends, perspectives, and prospects

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