Jiuqiang Yang

发表

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, 2022, Petroleum Science.

Classification strategies of electrical characterization based on k-means clustering: Applying controlled-source audio-frequency magnetotellurics for goaf detection

Wang Xiaodong, Zhang Kai, Zhang Chong, 2020 .

An approach for predicting geothermal reservoirs distribution using wavelet transform and self-organizing neural network: a case study of radon and CSAMT data from Northern Jinan, China

Kai Zhang, Niantian Lin, Jiuqiang Yang, 2022, Geomechanics and Geophysics for Geo-Energy and Geo-Resources.

Variable Selection and Oil-Gas-Bearing Evaluation Using Multicomponent Seismic Data and AMPSO-ML Approaches

Kai Zhang, Niantian Lin, Jiuqiang Yang, 2023, SPE Journal.

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

Kai Zhang, Niantian Lin, Jiuqiang Yang, 2021, Natural Resources Research.

An Improved Small-Sample Method Based on APSO-LSSVM for Gas-Bearing Probability Distribution Prediction From Multicomponent Seismic Data

Kai Zhang, Niantian Lin, Jiuqiang Yang, 2023, IEEE Geoscience and Remote Sensing Letters.

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

Niantian Lin, Kai Zhang, Dong Zhang, 2021, Journal of Petroleum Science and Engineering.

An Intelligent Approach for Gas Reservoir Identification and Structural Evaluation by ANN and Viterbi Algorithm—A Case Study From the Xujiahe Formation, Western Sichuan Depression, China

Kai Zhang, Niantian Lin, Jiuqiang Yang, 2023, IEEE Transactions on Geoscience and Remote Sensing.

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

Deying Wang, Kai Zhang, Niantian Lin, 2021, Journal of Petroleum Science and Engineering.

An improved integration strategy for prediction of shear wave velocity using petrophysical logs: Integration of spatiotemporal and small sample nonlinear feature

Kai Zhang, Niantian Lin, Jiuqiang Yang, 2023, Geoenergy Science and Engineering.

A data-driven workflow based on multi-source transfer machine learning to gas-bearing probability distribution prediction: A case study

Kai Zhang, Niantian Lin, Jiuqiang Yang, 2023, GEOPHYSICS.

A Parametric Study of MPSO-ANN Techniques in Gas-Bearing Distribution Prediction Using Multicomponent Seismic Data

Kai Zhang, Niantian Lin, Jiuqiang Yang, 2023, Remote Sensing.