A reinforcement learning based 3D guided drilling method: Beyond ground control（基于强化学习的 3D 导向钻探方法： 超越地面控制）
发布时间：2024-01-08
元数据
名 称
A reinforcement learning based 3D guided drilling method: Beyond ground control（基于强化学习的 3D 导向钻探方法： 超越地面控制）
科技资源标识
CSTR:11738.14.NCDC.XDA14.PP6135.2024
DOI
10.1145/3301326.3301374
数据共享方式
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摘 要
The current drilling guide operation relies on the two-way transmission of signals between the downhole drilling tools and the ground control center. However, the downhole environment is sometimes not conducive to such real-time signal transmission, and the analysis and decision-making in the ground involves complex human expert analysis and fine management. To deal with these problems, this paper proposes a downhole self-steering guided drilling method based on a reinforcement learning framework to achieve the 3D well trajectory design and control in real-time. In every time interval of the drilling process, the proposed system evaluates the drilling status and gives the adjustment action of drill bit in 3D space according to the received data, guiding the drill bit to the target reservoir without the involvement of human. The main module is a modified deep Q network using Sarsa algorithm for online self-learning. The experimental results show that after training, the drill bit is increasingly able to select control actions closer to the target reservoir. The frequency of effective actions is approximately 258% higher after the algorithm converges. The proposed system has the ability of online self-learning, which can automatically adjust the evaluation and decision models without manual monitoring.
朱丹丹,刘溢,杜爱民,陈冬,叶智慧. A reinforcement learning based 3D guided drilling method: Beyond ground control（基于强化学习的 3D 导向钻探方法： 超越地面控制）. 国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn), 2024. https://cstr.cn/CSTR:11738.14.NCDC.XDA14.PP6135.2024.
朱丹丹,刘溢,杜爱民,陈冬,叶智慧. A reinforcement learning based 3D guided drilling method: Beyond ground control（基于强化学习的 3D 导向钻探方法： 超越地面控制）. 国家冰川冻土沙漠科学数据中心(http://www.ncdc.ac.cn), 2024. https://www.doi.org/10.1145/3301326.3301374.
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CSTR:11738.14.NCDC.XDA14.PP6135.2024
10.1145/3301326.3301374