Chong Zhang

发表

Challenges and Prospects of Digital Core-Reconstruction Research

Xueqing Zhou, Zhansong Zhang, Chaomo Zhang, 2019, Geofluids.

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 .

An improved method for predicting permeability by combining electrical measurements and mercury injection capillary pressure data

Yuan Cheng, Chong Zhang, Chaomo Zhang, 2017 .

Application of Multiboost-KELM algorithm to alleviate the collinearity of log curves for evaluating the abundance of organic matter in marine mud shale reservoirs: a case study in Sichuan Basin, China

Linqi Zhu, Chong Zhang, Chaomo Zhang, 2018, Acta Geophysica.

A saturation evaluation method in tight gas sandstones based on diagenetic facies

Linqi Zhu, Chong Zhang, Chaomo Zhang, 2019, Marine and Petroleum Geology.

A Crossplot for Mud Logging Interpretation of Unconventional Gas ShaleReservoirs and its Application

Linqi Zhu, Chong Zhang, Chong Zhang, 2015 .

A fractal irreducible water saturation model for capillary tubes and its application in tight gas reservoir

Linqi Zhu, Chong Zhang, Yuan Cheng, 2017 .

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 .

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..

Investigation of sensitivity of shale elastic properties to rock components based on a digital core technology and finite element method

Chong Zhang, Chaomo Zhang, Zhansong Zhang, 2018, Arabian Journal of Geosciences.

Calculating the Total Porosity of Shale Reservoirs by Combining Conventional Logging and Elemental Logging to Eliminate the Effects of Gas Saturation

Linqi Zhu, Chong Zhang, Chaomo Zhang, 2018 .

Reconstruction of LWD-NMR T2 water spectrum and fluid recognition based on microscopic pore structure constraints

Chong Zhang, Zhansong Zhang, Xinlei Shi, 2023, Geoenergy Science and Engineering.

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

Yang Wei, Chong Zhang, Linqi Zhu, 2017 .

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

Chong Zhang, Chaomo Zhang, Yang Wei, 2016, Arabian Journal for Science and Engineering.

Quantitative evaluation of organic porosity and inorganic porosity in shale gas reservoirs using logging data

Chong Zhang, Xiu Wang, Wenlei Shan, 2018, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects.

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 .

Generating porosity spectrum of carbonate reservoirs using ultrasonic imaging log

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

Fractured horizontal well productivity prediction in tight oil reservoirs

Zhenhua Rui, Chong Zhang, Zhangxin Chen, 2017 .

A new lithologic classification method for tight sandstone reservoirs based on rock components and logging response characteristics

Linqi Zhu, Chong Zhang, Chaomo Zhang, 2017 .