Yinao Su

Hybrid physics-machine learning models for predicting rate of penetration in the Halahatang oil field, Tarim Basin

Shengjie Jiao, Wei Li, Zhuolun Li et al. · Scientific Reports · 2024 · 51 citations · Full text

Engineering, Computer Science, Petroleum Engineering +14

Real-time prediction of rate of penetration by combining attention-based gated recurrent unit network and fully connected neural networks

Chengkai Zhang, Xianzhi Song, Yinao Su et al. · Journal of Petroleum Science and Engineering · 2022 · 46 citations

Computing, Data Science, Forecasting +14

Real-time and multi-objective optimization of rate-of-penetration using machine learning methods

Chengkai Zhang, Xianzhi Song, Zihao Liu et al. · Geoenergy Science and Engineering · 2023 · 36 citations

Computing, Computer Science, Data Science +14

Bottom hole pressure prediction based on hybrid neural networks and Bayesian optimization

Chengkai Zhang, Rui Zhang, Zhaopeng Zhu et al. · Petroleum Science · 2023 · 32 citations · Full text

Engineering, Computer Science, Petroleum Engineering +16

Real-time prediction of logging parameters during the drilling process using an attention-based Seq2Seq model

Rui Zhang, Chengkai Zhang, Xianzhi Song et al. · Geoenergy Science and Engineering · 2023 · 26 citations

Engineering, Petroleum Engineering, Drilling +7