Real-time mechanical specific energy prediction for optimizing the drilling parameters using CNN-LSTM model

IF 1.3 4区 工程技术 Q4 ENERGY & FUELS Petroleum Science and Technology Pub Date : 2024-08-05 DOI:10.1080/10916466.2024.2385727
Weiji Liu, Jiahao Feng, Xiaohua Zhu, Ke Li, Xinyv Shen, Xiaosong Wen
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Abstract

MSE is an important parameter in drilling process as it determines drilling efficiency. Therefore, accurately predicting the MSE during drilling and real-time adjusting the drilling parameters to e...
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利用 CNN-LSTM 模型实时预测机械比能量,优化钻孔参数
MSE 是钻井过程中的一个重要参数,因为它决定了钻井效率。因此,准确预测钻井过程中的 MSE 值,并实时调整钻井参数以提高钻井效率,是提高钻井效率的关键。
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来源期刊
Petroleum Science and Technology
Petroleum Science and Technology 工程技术-工程:化工
CiteScore
2.90
自引率
13.30%
发文量
277
审稿时长
2.7 months
期刊介绍: The international journal of Petroleum Science and Technology publishes original, high-quality peer-reviewed research and review articles that explore: -The fundamental science of fluid-fluid and rock-fluids interactions and multi-phase interfacial and transport phenomena through porous media related to advanced petroleum recovery processes, -The application of novel concepts and processes for enhancing recovery of subsurface energy resources in a carbon-sensitive manner, -Case studies of scaling up the laboratory research findings to field pilots and field-wide applications. -Other salient technological challenges facing the petroleum industry.
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