Niantian Lin

Reservoir Characterization Using Multi-component Seismic Data in a Novel Hybrid Model Based on Clustering and Deep Neural Network

Jiuqiang Yang, Niantian Lin, Kai Zhang et al. · Natural Resources Research · 2021 · 39 citations

Novel Hybrid Model, Machine Learning, Data Science +10

Predicting gas-bearing distribution using DNN based on multi-component seismic data: Quality evaluation using structural and fracture factors

Kai Zhang, Niantian Lin, Jiuqiang Yang et al. · Petroleum Science · 2022 · 38 citations · Full text

Geometric Learning, Convolutional Neural Network, Engineering +17

Unsupervised-learning based self-organizing neural network using multi-component seismic data: Application to Xujiahe tight-sand gas reservoir in China

Kai Zhang, Niantian Lin, Gaopeng Tian et al. · Journal of Petroleum Science and Engineering · 2021 · 35 citations

Tight-sand Gas Reservoir, Self-organizing System, Engineering +9

Reservoir characterisation method with multi-component seismic data by unsupervised learning and colour feature blending

Kai Zhang, Niantian Lin, Chao Fu et al. · Exploration Geophysics · 2019 · 32 citations

Engineering, Machine Learning, Reservoir Characterisation Method +22

Automatic tracking for seismic horizons using convolution feature analysis and optimization algorithm

Kai Zhang, Niantian Lin, Dong Zhang et al. · Journal of Petroleum Science and Engineering · 2021 · 16 citations

Earthquake Engineering, Machine Vision, Image Analysis +13