Yufeng Gu

发表

Prediction of shell content from thin sections using hybrid image process techniques

Zhenhua Rui, Yufeng Gu, Zhi-dong Bao, 2018 .

Data-driven estimation for permeability of simplex pore-throat reservoirs via an improved light gradient boosting machine: A demonstration of sand-mud profile, Ordos Basin, northern China

Daoyong Zhang, Yufeng Gu, Yang Yang, 2022, Journal of Petroleum Science and Engineering.

Thermoelectric properties of Sr1-xLaxNb2O6-δ (0 < x ≤ 0.4) ceramics sintered under strongly-reducing conditions

P. La, F. Wang, Yufeng Gu, 2022, Solid State Sciences.

Petrophysical Regression regarding Porosity, Permeability, and Water Saturation Driven by Logging-Based Ensemble and Transfer Learnings: A Case Study of Sandy-Mud Reservoirs

Shenghan Zhang, Yufeng Gu, Xinxing Wang, 2022, Geofluids.

Classification pattern of lacustrine carbonate diagenetic facies and logging-based data-driven prediction via a generalized and robust ensemble learning: A demonstration of pre-salt profile, santos basin

Yan Li, Yufeng Gu, Daoyong Zhang, 2023, Geoenergy Science and Engineering.

Carbonate lithofacies identification using an improved light gradient boosting machine and conventional logs: a demonstration using pre-salt lacustrine reservoirs, Santos Basin

Daoyong Zhang, Yufeng Gu, Z. Bao, 2021, Carbonates and Evaporites.

Data-driven prediction for carbonate lithologies based on new ensemble learning of logging sequences

Daoyong Zhang, Yufeng Gu, Z. Bao, 2021, Arabian Journal of Geosciences.

Complex lithology prediction using mean impact value, particle swarm optimization, and probabilistic neural network techniques

Zhidong Bao, Yufeng Gu, Zhongmin Zhang, 2020, Acta Geophysica.

Complex lithology prediction using probabilistic neural network improved by continuous restricted Boltzmann machine and particle swarm optimization

Xinmin Song, Kegang Ling, Shirish Patil, 2019, Journal of Petroleum Science and Engineering.

GenomicsBench: A Benchmark Suite for Genomics

David Blaauw, Reetuparna Das, Satish Narayanasamy, 2021, 2021 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS).

Lithological classification via an improved extreme gradient boosting: A demonstration of the Chang 4+5 member, Ordos Basin, Northern China

Daoyong Zhang, Yufeng Gu, Z. Bao, 2021 .

The porosity and permeability prediction methods for carbonate reservoirs with extremely limited logging data: Stepwise regression vs. N-way analysis of variance

Hua Wang, Jun Lu, Yufeng Gu, 2017 .

Data-driven lithology prediction for tight sandstone reservoirs based on new ensemble learning of conventional logs: A demonstration of a Yanchang member, Ordos Basin

Daoyong Zhang, Yanbo Lin, Yufeng Gu, 2021 .

The porosity and permeability prediction methods for carbonate reservoirs with extremely limited logging data : Stepwise regression vs . Nway analysis of variance

Jun Lu, Hua Wang, Yanbo Lin, 2018 .

Permeability prediction using hybrid techniques of continuous restricted Boltzmann machine, particle swarm optimization and support vector regression

Yufeng Gu, Zhidong Bao, Guodong Cui, 2018, Journal of Natural Gas Science and Engineering.

Efficient prediction for porosity only using logging data: a case study of lacustrine carbonate reservoirs of IARA oilfield

Zhenhua Rui, Yufeng Gu, Xinmin Song, 2020, International Journal of Oil, Gas and Coal Technology.

A new data-driven predictor, PSO-XGBoost, used for permeability of tight sandstone reservoirs: A case study of member of chang 4+5, western Jiyuan Oilfield, Ordos Basin

Zhidong Bao, Yufeng Gu, Daoyong Zhang, 2021 .

Permeability prediction for carbonate reservoir using a data-driven model comprising deep learning network, particle swarm optimization, and support vector regression: a case study of the LULA oilfield

Yufeng Gu, Zhidong Bao, Xinmin Song, 2019, Arabian Journal of Geosciences.

Lithofacies prediction driven by logging‐based Bayesian‐optimized ensemble learning: A case study of lacustrine carbonate reservoirs

Shenghan Zhang, Yufeng Gu, Daoyong Zhang, 2022, Geophysical Prospecting.

Logging-Based Petrophysical Estimation for Tight Sandy-Mud Reservoirs Employing a Geologically Regularized Learning System

Yufeng Gu, Yinshan Gao, Daoyong Zhang, 2024, Natural Resources Research.