| 1 |
孔隙度预测 |
IEEE Transactions on Neural Networks and Learning Systems(一区) |
Transductive Regression for Data With Latent Dependence Structure |
厍斌 |
| 2 |
孔隙度预测 |
Computers and Geosciences |
Porosity estimation by semi-supervised learning with sparsely available labeled samples |
厍斌 |
| 3 |
孔隙度预测 |
Journal of Petroleum Science and Engineering (三区) |
Estimation of porosity from seismic attributes using a committee model with bat-inspired optimization algorithm |
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| 4 |
地质建模 |
Computers and Geosciences |
A machine learning approach to the potential-field method for implicit modeling of geological structures |
展祥林 |
| 5 |
分类（波形） |
Geophysical Prospecting |
Statistical facies classification from multiple seismic attributes: comparison between Bayesian classification and expectation–maximization method and application in petrophysical inversion |
李文昊 |
| 6 |
分类（波形） |
Geophysical Prospecting |
Seismic facies analysis through musical attributes |
李坤鸿 |
| 7 |
分类（波形） |
Interpretation |
A comparison of classification techniques for seismic facies recognition |
文传勇 |
| 8 |
分类（波形） |
Geophysics |
Seismic facies analysis based on speech recognition feature parameters |
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| 9 |
分类 （岩性） |
Journal of Natural Gas Science and Engineering （3区） |
Comparison of supervised and unsupervised approaches for mudstone lithofacies classification: Case studies from the Bakken and Mahantango-Marcellus Shale, USA |
李文昊 |
| 10 |
分类（SOM） |
The Leading Edge |
Seismic interpretation below tuning with multiattribute analysis |
文传勇 |
| 11 |
检测（盐丘）（轮廓） |
Interpretation |
A texture-based interpretation workflow with application to delineating salt domes |
刘致宁 |
| 12 |
检测（断层） |
Interpretation |
Fault detection using principal component analysis of seismic attributes in the Bakken Formation, Williston Basin, North Dakota, USA |
余里辉 |
| 13 |
储层预测（产量？） |
Journal of Natural Gas Science and Engineering （3区） |
New forecasting method for liquid rich shale gas condensate reservoirs with data driven approach using principal component analysis |
吴庆平 |
| 14 |
数据补全 |
Geophysics |
What can machine learning do for seismic data processing? An interpolation application |
帅领 |
| 15 |
AVO 分析（机器学习） |
The Leading Edge |
Unbiased AVO crossplotting |
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| 16 |
基于张量的 |
Computers and Geosciences |
Tensor based geology preserving reservoir parameterization with Higher Order Singular Value Decomposition (HOSVD) |
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| 17 |
TOC脆性估计 |
Interpretation |
Estimation of total organic carbon and brittleness volume |
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| 18 |
脆性估计 |
Interpretation |
Brittleness evaluation of resource plays by integrating petrophysical and seismic data analysis |
厍斌 |
| 19 |
厚度预测 |
Computers and Geosciences |
Quantitative thickness prediction of tectonically deformed coal using Extreme Learning Machine and Principal Component Analysis: a case study |
刘致宁 |
| 20 |
图像分割 |
Computers and Geosciences |
An interactive image segmentation method for lithological boundary detection: A rapid mapping tool for geologists |
颜博 |
