线

Hongyu Gao1, Manrong Zhang2, Lindong Yu2

  • 1State Key Laboratory of Continental Shale Oil, Daqing 163318, China; Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing 163318, China; School of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China; Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing 163318, China.

ISA transactions
|July 30, 2025
PubMed
概括

本研究引入了一种新的递归过器,通过解决无线通道色和测量异常值 (MO) 来改进微地震事件检测. 该方法在具有挑战性的信号条件下提高了首次到达采集精度.