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資料包括：完整論文 |  |
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| 轉換比率：金額 X 10=金幣數量， 例100元=1000金幣 | 論文字數：27329 |  | |
| 折扣與優(yōu)惠：團購最低可5折優(yōu)惠 - 了解詳情 | 論文格式：Word格式(*.doc) |  |
摘要：鉆柱振動非常復雜，簡單的計算已經遠不能夠滿足目前現場應用的需求。鉆柱振動信號是一種十分復雜的振動波，能夠實時地反映出井下的工況信息。開展模式濾波法分離鉆柱頂部振動信號的研究，實現各種振動成分的合理分離，對分離的信號進行歸類與識別處理，并實現各種典型信號的提取，通過將分離后的信號轉換成數字化音頻進行耳聽測試，可迅速判斷分離效果和分離信號的具體成分，從而極大地提高了處理的效率與針對性。能夠實時識別井下工況，進行鉆井參數優(yōu)化，防止鉆井事故的發(fā)生，對提高鉆井速度，降低鉆井成本有著十分重要的意義。本論文首先討論了鉆柱振動信號的采集裝置，實現了動信振號的地面實時測量。并討論了信號處理的方法，其中包括：最優(yōu)頻率匹配法、小波變換、頻譜分析等分析方法。最后用模式濾波法對鉆柱振動信號進行分析處理，并應用到井下工況的識別應用中去。 關鍵詞：鉆柱振動，模式濾波法，井下工況，信號分析，信號識別
Abstract: Drill string vibration is very complex, the simple calculation is far from being able to meet the needs of the field application. Drilling string vibration signal is a very complex wave, the vibration waves can reveal the real—time information for downhole drilling． To carry out the mode filtering method to separate the top of the drill string vibration signal, and achieve a reasonable separation of the various vibration components. Classification and recognition processing on the signal separation，and a variety of typical signal extraction，converted into a digital audio signal will be separated ears test，it can quickly determine the specific composition of separation and separation of signals, thereby greatly enhancing the efficiency of the treatment and targeted. It can identify the downhole working status and optimize the well drilling parameters online．To prevent the occurrence of drilling accident，increase drilling speed，reduce the cost of drilling has great significance.This paper first discusses the drill string vibration signal acquisition device，real-time measurement of the action letter vibration ground.And discussed the method of signal processing，it Including：the optimal frequency matching, wavelet transform, spectral analysis and other analytical methods. Mode filtering method of drill string vibration signal analysis and processing, and application recognition applications to downhole working conditions. KEY WORDS：Drill-string vibration；Pattern filter method； Downhole working condition；Signal analysis；Signal identification； |
