Chaomo Zhang

发表

Forming a new small sample deep learning model to predict total organic carbon content by combining unsupervised learning with semisupervised learning

Xueqing Zhou, Xin Nie, Xiu Wang, 2019, Appl. Soft Comput..

An Improved Theoretical Nonelectric Water Saturation Method for Organic Shale Reservoirs

Chong Zhang, Xueqing Zhou, Boyuan Zhu, 2019, IEEE Access.

A new and reliable dual model- and data-driven TOC prediction concept: A TOC logging evaluation method using multiple overlapping methods integrated with semi-supervised deep learning

Boyuan Zhu, Xueqing Zhou, Chong Zhang, 2020 .

Permeability Prediction of the Tight Sandstone Reservoirs Using Hybrid Intelligent Algorithm and Nuclear Magnetic Resonance Logging Data

Yang Wei, Chong Zhang, Linqi Zhu, 2017 .

Bi-LSTM Deep Neural Network Reservoir Classification Model Based on the Innovative Input of Logging Curve Response Sequences

Xueqing Zhou, Chaomo Zhang, Zhansong Zhang, 2021, IEEE Access.

Generating porosity spectrum of carbonate reservoirs using ultrasonic imaging log

Jie Zhang, Chaomo Zhang, Zhansong Zhang, 2018, Acta Geophysica.

Prediction of total organic carbon content in shale reservoir based on a new integrated hybrid neural network and conventional well logging curves

Xueqing Zhou, Linqi Zhu, Chaomo Zhang, 2018 .

Inversion of the permeability of a tight gas reservoir with the combination of a deep Boltzmann kernel extreme learning machine and nuclear magnetic resonance logging transverse relaxation time spectrum data

Xueqing Zhou, Chaomo Zhang, Linqi Zhu, 2017 .