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Updated: May 9, 2025

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基于PSO-BP混合模型预测的细孔阵列横向记录中钻井响应的校正方法的研究

Zhiqiang Li1,2, Shaojie Xing3,4, Junyan Lin1,2

  • 1Institute of Electromagnetic Wave, School of Physics, Henan Normal University, Xinxiang, 453007, China.

Scientific reports
|April 30, 2025
PubMed
概括

这项研究引入了一种混合粒子群优化-反向传播 (PSO-BP) 神经网络模型,以准确预测细孔阵列记录仪器的钻孔校正系数. 该PSO-BP模型显著提高了预测准确性,提高了石油和天然气勘探数据的可靠性.

关键词:
在BP神经网络中,神经网络钻井孔的纠正系数是指钻孔的纠正系数.粒子群集优化 (PSO) 是一种精细的孔阵列横向记录日志.

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