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作 者:宋雷震[1] 吕东芳[2] SONG Leizhen;L Dongfang(School of Intelligent Manufacturing,Huainan Union University,Huainan 232038,China;School of Information Engineering,Huainan Union University,Huainan 232038,China)
机构地区:[1]淮南联合大学智能制造学院,淮南232038 [2]淮南联合大学信息工程学院,淮南232038
出 处:《青岛理工大学学报》2025年第1期141-148,共8页Journal of Qingdao University of Technology
基 金:安徽省自然科学重点项目(2022AH052925);2021校级自然科学项目(LCY2201)。
摘 要:随钻测量技术是进行石油勘探的重要方法,可以在钻井过程中对地下环境数据进行实时传输,无线通信信道的质量直接影响整个信息获取的效果。为提高随钻测量信息传输,提出一种通信信道质量评估方法。首先利用深度学习构建信道估计方法,然后结合泵冲干扰消除算法,构建基于加权因子信干噪比的信道质量评价指标。实验结果显示,当信噪比为15时,研究提出的基于WSINR的信道质量评价方法的实际误码率为0.0003,理论误码率为0.00003,整体误码率在合理范围内。由此说明,研究提出的方法可以有效地应用于随钻通信信道的质量评估,提高信息传输的质量和效率。Measurement while drilling technology is an important method for petroleum exploration,which can transmit the underground environment data in real time during drilling.The quality of wireless communication channel directly affects the whole information acquisition effect.In order to improve the transmission of measurement information while drilling,a communication channel quality evaluation method is proposed.Firstly,the channel estimation method is constructed through deep learning,and then the channel quality evaluation index based on the weighted factor of signal-to-interference-noise ratio is constructed by combining the pump interference cancellation algorithm.The experimental results show that when the signal-to-noise ratio is 15,the actual error rate and can theoretical error rate of the proposed channel quality evaluation method based on WSINR are 0.0003 and 0.00003 respectively,and the overall error rate is within a reasonable range.This shows that the proposed method can be effectively applied to the quality evaluation of communication channel while drilling,and can improve the quality and efficiency of information transmission.
分 类 号:TE271[石油与天然气工程—油气井工程]
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