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Proceedings Papers

Bayesian Neural Network Method for Intelligent Drilling Pattern Discovery using Block Geological Information as Prior Knowledge

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Zhi Yan, Xianzhi Song, Zhaopeng Zhu, Shijie Xiao, Detao Zhou, Tao Pan, Muchen Liu, Qifeng Li
Paper presented at the International Petroleum Technology Conference, February 18–20, 2025
Paper Number: IPTC-24923-MS
https://doi.org/10.2523/IPTC-24923-MS
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View Paper titled, Bayesian Neural Network Method for Intelligent Drilling Pattern Discovery using Block Geological Information as Prior Knowledge
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Proceedings Papers

Inertial Effect of Drill Pipe Friction Trend and Early Warning of Stuck Pipe

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Muchen Liu, Xianzhi Song, Zhaopeng Zhu, Gensheng Li, Hao Xiao, Li Fu, Tao Pan, Xintong Li, Yanlong Yang
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220991-MS
https://doi.org/10.2118/220991-MS
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View Paper titled, Inertial Effect of Drill Pipe Friction Trend and Early Warning of Stuck Pipe
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Proceedings Papers

Enhancing Intelligent Drilling Rate of Penetration PredictionModeling Through Anomalous Drilling Data Handling Methodology

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Shanlin Ye, Lin Zhu, Zehao Lv, Xianzhi Song, Zihao Liu, Zhaopeng Zhu, Tao Pan
Paper presented at the 58th U.S. Rock Mechanics/Geomechanics Symposium, June 23–26, 2024
Paper Number: ARMA-2024-0132
https://doi.org/10.56952/ARMA-2024-0132
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View Paper titled, Enhancing Intelligent Drilling Rate of Penetration PredictionModeling Through Anomalous Drilling Data Handling Methodology
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Proceedings Papers

Intelligent Optimization of Drilling Parameters Based on Multiple Drilling Agents

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Zhijun Pei, Xianzhi Song, Zhijian Hu, Tao Pan
Paper presented at the International Petroleum Technology Conference, February 12, 2024
Paper Number: IPTC-24457-MS
https://doi.org/10.2523/IPTC-24457-MS
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View Paper titled, Intelligent Optimization of Drilling Parameters Based on Multiple Drilling Agents
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Proceedings Papers

Predicting Rate of Penetration Using the Dual Seq2Seq Model

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Tao Pan, Zhen Li, Chengkai Zhang, Xianzhi Song, Lin Zhu, Zhi Yan, Zhaopeng Zhu, Yuan Sun, Pengbo Ni
Paper presented at the International Geomechanics Symposium, October 30–November 2, 2023
Paper Number: ARMA-IGS-2023-0353
https://doi.org/10.56952/IGS-2023-0353
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View Paper titled, Predicting Rate of Penetration Using the Dual Seq2Seq Model
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Proceedings Papers

An Intelligent Prediction Method of Horizontal Well ROP Based on Di-GRU

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Tao Pan, Xianzhi Song, Zheng Wang, Zhiyong Yin, Yong Ji, Lin Zhu, Zhijun Pei, Shanlin Ye, Muchen Liu, Zhen Li, Zhaopeng Zhu
Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0405
https://doi.org/10.56952/ARMA-2023-0405
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View Paper titled, An Intelligent Prediction Method of Horizontal Well ROP Based on Di-GRU
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Proceedings Papers

Real-Time Monitoring Model of PDC Bit Wear Based on GRU Neural Network

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Long Tian, Mingzhu Chen, Zeyu Zheng, Zhihua Zhu, Xianzhi Song, Donghan Yang, Tao Pan
Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0195
https://doi.org/10.56952/ARMA-2023-0195
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View Paper titled, Real-Time Monitoring Model of PDC Bit Wear Based on GRU Neural Network
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Proceedings Papers

PDC Bit Wear Condition Judgment Based on Object Detection and Computer Vision

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Donghan Yang, Xianzhi Song, Donglei Liu, Zirui Guan, Tao Pan, Lin Zhu, Zhaopeng Zhu
Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0239
https://doi.org/10.56952/ARMA-2023-0239
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View Paper titled, PDC Bit Wear Condition Judgment Based on Object Detection and Computer Vision
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Proceedings Papers

Evaluation of Innovation-driven Development Capacities in Oil and Gas Industry

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Hualin Zhang, Xinchun He, Tao Pan, Yong Pei, Kewei Wu, Kaicheng Zhu, Bin Xu
Paper presented at the 21st World Petroleum Congress, June 15–19, 2014
Paper Number: WPC-21-0604
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View Paper titled, Evaluation of Innovation-driven Development Capacities in Oil and Gas Industry
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