To enable real-time prediction of rock mechanical parameters during drilling,this study proposes a method based on vibration-while-drilling(VWD)spectral features.Three-component vibration signals were collected experi...To enable real-time prediction of rock mechanical parameters during drilling,this study proposes a method based on vibration-while-drilling(VWD)spectral features.Three-component vibration signals were collected experimentally,and their dominant frequency,low-frequency energy,and spectral centroid were extracted as predictors.A ridge regression model was developed to map these spectral features to rock mechanical parameters.Compared with conventional drilling parameters,the spectral descriptors capture lithology-dependent stiffness more effectively,with the low-frequency(0-20 Hz)energy showing a strong correlation with rock strength.Validation on tuspecimens achieved high accuracy(mean R^(2)>0.80)and stable calibration between predicted and measured values.Bootstrap and permutation analyses conrmed the consistency and interpretability of feature contributions,while ridge-penalty scanning demonstrated strong resistance to overtting.The proposed approach provides an efcient and interpretable framework for realtime eld prediction of rock mechanical parameters and oers a foundation for multi-lithology and physicsinformed model extensions.展开更多
随钻钻柱振动声波技术(Vibro-acoustic While Drilling-VWD)自2010年在塔里木盆地塔北地区应用以来,已经录取完成了近30口井的任务,对岩性和地层界面的识别有了较深的认识,取得了一定的研究成果和重大突破。特别是振动声波频谱图的变化...随钻钻柱振动声波技术(Vibro-acoustic While Drilling-VWD)自2010年在塔里木盆地塔北地区应用以来,已经录取完成了近30口井的任务,对岩性和地层界面的识别有了较深的认识,取得了一定的研究成果和重大突破。特别是振动声波频谱图的变化规律在多井风化壳界面的识别上有很好的对应关系。通过对钻柱振动声波谱图的分析研究发现:VWD谱图能有效地识别风化壳地层,岩性变化主要反映在谱图的主频、频率分布、频矩曲线以及谱图颜色上。展开更多
基金supported by the National Science Foundation for Young Scientists of China(grant numbers ZR2024QE402).
文摘To enable real-time prediction of rock mechanical parameters during drilling,this study proposes a method based on vibration-while-drilling(VWD)spectral features.Three-component vibration signals were collected experimentally,and their dominant frequency,low-frequency energy,and spectral centroid were extracted as predictors.A ridge regression model was developed to map these spectral features to rock mechanical parameters.Compared with conventional drilling parameters,the spectral descriptors capture lithology-dependent stiffness more effectively,with the low-frequency(0-20 Hz)energy showing a strong correlation with rock strength.Validation on tuspecimens achieved high accuracy(mean R^(2)>0.80)and stable calibration between predicted and measured values.Bootstrap and permutation analyses conrmed the consistency and interpretability of feature contributions,while ridge-penalty scanning demonstrated strong resistance to overtting.The proposed approach provides an efcient and interpretable framework for realtime eld prediction of rock mechanical parameters and oers a foundation for multi-lithology and physicsinformed model extensions.
文摘随钻钻柱振动声波技术(Vibro-acoustic While Drilling-VWD)自2010年在塔里木盆地塔北地区应用以来,已经录取完成了近30口井的任务,对岩性和地层界面的识别有了较深的认识,取得了一定的研究成果和重大突破。特别是振动声波频谱图的变化规律在多井风化壳界面的识别上有很好的对应关系。通过对钻柱振动声波谱图的分析研究发现:VWD谱图能有效地识别风化壳地层,岩性变化主要反映在谱图的主频、频率分布、频矩曲线以及谱图颜色上。
