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Three-dimensional gravity inversion based on 3D U-Net++
The gravity inversion is to restore genetic density distribution of the underground target to be explored for explaining the internal structure and...
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Seismic multiple attenuation based on improved U-Net
Effective attenuation of seismic multiples is a crucial step in the seismic data processing workflow. Despite the existence of various methods for...
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Automatic seismic fault identification based on an improved U-Net network
Fault identification is a key step in structural interpretation. Traditional fault identification methods are easily affected by the seismic quality...
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A novel landslide identification method for multi-scale and complex background region based on multi-model fusion: YOLO + U-Net
Comprehensive identification of geological hazard risks remains one of the most important tasks in disaster prevention and mitigation. Currently,...
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Engineering Applications of Urban Green Space Planning in Mountainous Areas: An Improved Structure-based RS Land Class Information Extraction Method for U-Net Networks
Land type information is essential for urban planning, ecological monitoring and management. To improve ground class information extraction, the...
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Impact of physical and attention mechanisms on U-Net for SST forecasting
Sea surface temperature (SST) prediction is a subject of great significance to the marine environment and human society. Changes in SST not only...
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Mesoscopic representative elementary area of red mudstone based on U-Net segmentation
Red mudstone has low compressive strength and weak water resistance. Assessing its mesostructure has attracted numerous investigations to explain the...
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An integrated deep learning framework of U-Net and inception module for cloud detection of remote sensing images
With the increasing applications of deep learning in remote sensing image analysis, we propose an inception U-Net architecture for automating cloud...
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U-net generative adversarial network for subsurface facies modeling
Subsurface models are central pieces of information in different earth-related disciplines such as groundwater management and hydrocarbon reservoir...
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Applicability of 2D algorithms for 3D characterization in digital rocks physics: an example of a machine learning-based super resolution image generation
Digital rock physics is based on imaging, segmentation and numerical computations of rock samples. Due to challenges regarding the handling of a...
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Automatic reconstruction method of 3D geological models based on deep convolutional generative adversarial networks
How to reconstruct a credible three-dimensional (3D) geological model from very limited survey data, e.g. boreholes, outcrop, and two-dimensional...
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Application of pseudo-3D sub-bottom profile imaging technology in small submarine target detection
The sub-bottom profiler is a valuable tool for obtaining high-resolution shallow stratigraphic data in marine geological and geophysical surveys. To...
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3D gravity anomaly inversion based on LinkNet
Gravity anomaly inversion is a technique used to estimate underground density distribution using gravity data. This paper proposes a new...
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3D Modeling of Hydraulic and Natural Fracture Interaction
An advanced numerical model is developed to investigate the different aspects of stimulation in naturally-fractured rocks. A fully-coupled 3D HF–NF...
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Prediction of 3D Velocity Field of Reticulated Foams Using Deep Learning for Transport Analysis
Data-driven deep learning models are emerging as a new method to predict the flow and transport through porous media with very little computational...
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OCM: an intelligent recognition method of rock discontinuity based on optimal color map** of 3D Point cloud via deep learning
Discontinuities largely influence the mechanical properties of rock joints. However, traditional discontinuity recognition methods often require...
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Quantifying 3D and suction-induced effects on soil slope stability during rapid drawdown: a sensitivity study using the MARS-WOA approach
The study presents a new hybrid model, called MARS-WOA, which predicts the impact of three-dimensional (3D) and suction-induced effects on soil slope...
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Estimation of Terrestrial Net Primary Productivity in China from Fengyun-3D Satellite Data
Currently, the satellite data used to estimate terrestrial net primary productivity (NPP) in China are predominantly from foreign satellites, and...
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Evolution of Coal Microfracture by Cyclic Fracturing of Liquid Nitrogen Based on μCT and Convolutional Neural Networks
Coalbed methane (CBM) is an important unconventional fuel source, and its efficient extraction is of great significance in reducing greenhouse gas...
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3D static reservoir modelling: a case study of the Izu Field, coastal swamp depobelt, Niger Delta Basin
3D reservoir modelling technique is imperative in hydrocarbon prospect studies because it accelerates the development of reservoir prediction models...
