seismic wavelet 中文意思是什麼

seismic wavelet 解釋
地震子波
  • seismic : adj 地震(性)的;由地震引起的;易生地震的。 a seismic area 震域;震區。 the seismic centre [focu...
  • wavelet : 小浪;【物理學】子波,弱波,小波,基元波,成分波。
  1. According to characteristics of the seismic data from the low snr region with complex surface, this paper is started from solving the static correction problem and reasonable eliminating all kinds of disturbance in the seismic data from the low snr region with complex surface. through the whole process of seismic data processing which includes a series of processing methods that are suitable for the low snr region, namely, from the choosing of the floating base - level, the static correction in the field and indoors, the eliminating of all kinds of noise before and after stacking, the velocity analysis with high - resolution, the reasonable techniques of deconvolution before stacking and wavelet processing after stacking, to the method choosing of the high - resolution stacking and the reasonable and accurate offset imaging, a set of the complete and effective flow for processing seismic data from the low snr region with complex surface are finally formed, which can meet the need of explo

    本文針對復雜地表低信噪比地區地震資料的特點,以解決復雜地表低信噪比地區地震資料靜校正問題及合理剔除各類干擾為出發點,在整個地震資料處理過程中,從浮動基準面的選取、野外及室內靜校正、疊前疊后各類噪音的去除、高精度速度分析、合理的疊前反褶積及疊后子波處理技術、到選用高精度的疊加技術及合理準確的偏移成像方法等一系列適合於復雜地表低信噪比地區的處理方法,最終形成一套較完整且有效的針對復雜地表低信噪比地區地震資料的處理流程。
  2. We point out the main influence factor of seismic distinguish in landscape orientation is fresnel zone. we can solve this problem through the high quality wavelet equation migration

    指出了對于橫向解析度的主要影響因素為菲涅爾帶的大小,可以通過高質量的波動方程偏移解決此問題。
  3. Here we used wavelet and spectral analysis to different kind seismic waves in volcanic area, in order to pick up their spectral character and determine the type of these earthquakes

    本文對火山區不同種類的地震波形運用小波分析和頻譜分析的方法,希望能提取不同類型火山地震的一些頻譜特徵,確定火山地震的類型。
  4. Many new methods, such as reduction of gravity data to a horizontal plane, wavelet analysis, higher order statistics, joint inversion and interactive inversion of gravity, magnetic, electric and seismic data, 3 - d visualized inversion, as well as bp artificial network method have been widely used in the integrated data processing

    山區重力資料曲化平,小波分析及高階統計量等現代信號處理方法,重震、重磁、電震的聯合反演與交互反演,三維可視化反演, bp人工神經網路方法等在綜合地球物理處理解釋中得到廣泛應用。
  5. The research results are controlled source which has linear or nonlinear variabe frequency scan function and the seismic instruments which match with it, and the method of small group intervals, small offset, much more channels, short array length, high - frequency receivers are applied during the link of data acquisition, and that the techniques of the refraction static correction, the noise suppressing, the high - resolution velocity analysis, the wavelet length compression, the wavelet zero - phase, and the prestack migration should be applied emphasizedly during the link of data processing and interpretation

    研究表明,對于城市活斷層的抗干擾高解析度淺層地震勘探,在數據採集環節應採用具有線性或非線性變頻掃描功能的可控震源和與其相匹配的地震儀器,以及小道間距、小偏移距、多接收道、短排列和高頻檢波器接收的工作方法;在數據處理與解釋環節,要重視折射靜校正技術、噪聲壓制技術、高精度速度分析技術、子波壓縮技術、子波零相位化技術和疊前偏移技術等的應用。
  6. The circuits of the are designed. this system can provide good quality data for the follow work. 2. the method of marginal checking using wavelet neural network is used to process the seismic data for increasing distinguishability to recognition the thin interbedded oil reservoir. small structure of oil reservoir and thin interbedded are find

    提出將小波神經網路邊緣檢測演算法應用到地震剖面圖像的特殊處理上,提高對油藏的解析度,從而尋找地下小的含油構造和薄的儲油層,使計算機能更準確地再現地下油藏的構造形態,提高勘探的精確度。
  7. Simultatly, based on the vaviaction of seismic signal - noise ratio, the anthor use the funtion singular method in the seismic data procesy and put forward the wavelet amplitude singular exponentid method and the wavelet power spectrum singular exponential for the fractued density detection

    與此同時,將函數奇異性分析的思想引到地震信號處理中來,針對地震信號信噪比的高低,提出小波振幅奇異性指數法和小波功率譜奇異性指數法的裂縫密度檢測方法。
  8. Also, in our software, we have made the practical seismic data processing by the prediction of fractured amizuth and the fractured density, then evaluated the exactitude of the predictions by the evaluation of the assessment parauceter, and at last confirm one optimum detection methods of fractured amizuth, the wavelet difference scale filter method, and two the optimmer fractured density detection method, the wavelet amplititude singular exponential method and the wavelet power spectrum singular exponeatial method

    並用自編軟體,將三種裂縫方位預測和三種裂縫密度預測用於實際地震資料處理,並用評價參數檢驗評估其正確性,最終在現有的方法中確定了最優裂縫方位檢測方法?小波變尺度濾波法和最優裂縫密度檢測法?小波振幅奇異性指數法和小波功率譜奇異性指數法。
  9. It is shown by structural seismic response of four wavelets that littlewood - paley wavelet is not suitable for structural seismic response, because structural response is too small, meyer wavelet is a better wavelet for structural seismic response, for it ' s structural response is agreement with the finite element method, and also harmonic wavelet, structural response under earthquake is a little bigger than finite element method, structural response under odd exponent wavelet is also bigger than finite element method, this method is very simple by wavelet transform, wavelet transform method is different from old methods, one is with which not only knows the effects of earthquake wave detail frequency - band on structural response, but also considers earthquake wave ' s non - stationary of frequency and time - domain value, another is the second mode shape and higher mode shape response that do n ' t attenuate so fast

    通過對這四種小波的結構地震反應分析研究說明: littlewood ? paley小波不適合於用來作結構地震反應分析,因為在littlewood ? paley小波下的結構地震反應太小,不符合實際情況;用meyer小波作結構地震反應分析比較合適,和有限元法的結果比較接近;也可以用諧波小波來作結構地震反應分析,只是在諧波小波下的結果略為偏大;單邊指數小波下的結構地震反應分析比有限元法稍大一點,它通過小波變換大大簡化了結構地震反應分析。用小波變換方法來進行結構地震反應分析和以往方法不同的是:它不僅可以知道地震波的具體頻率段對結構反應的影響,而且同時考慮了地震波的幅值非平穩性以及頻率非平穩性;另外與以前方法得到的結果有差異的是,第二振型及以後的高一點的振型的反應沒有以前的方法衰減得快。
  10. The dissertation focuses on seismic wavefield forward modeling and migration for the fractured reservoir. the paper integrates and researches the wavefield extrapolation operator for lateral variation of velocity, analysis of the wavefield characteristic, forward modeling and depth migration of prestack and poststack seismic wavefield, creation of wavelet, design of the model with fracture and cavity, and computation of reflectivity

    本文圍繞縫洞儲層地震波場正演與偏移問題,對橫向變速波場延拓運算元;疊前與疊后正演模擬;疊前與疊后深度偏移;子波的生成;縫洞模型的設計、反射系數的求取、正演、偏移及其波場特徵分析進行了一體化研究。
  11. In the light of the theoretical technique of wavelet networks, we study the method for inversing the time difference of artificial acoustic wave ( t ) by using multi - scale decompositon of wavelet from seismic records

    摘要在討論小波網路理論方法的基礎上,研究了利用地震紀錄小波多尺度分解屬性資料進行虛井聲波時差反演的技術方法。
  12. Doing the further research on the division frequency stack on the foundation of study of predecessor, at first the residual moveout correction is done to the seismic record, make the phase axle regularity, doing foundation for the same phase stack ; then carried on division scale processing by wavelet transform ; spectrum whitening is done to each scale, the high and low frequency band need to do prolongs, the middle frequency bands only increase the value of the frequency spectrum ; several kinds of methods that estimate the value of signal - noise ratio has been studied further, and summarize their advantage and disadvantage as well as the scope of application ; the seismic record after spectrum whitening is stacked by weighting with the value of the signal - noise ratio ; then estimate the value of signal - noise ratio which is each scale section after stacking, the scale that the signal - noise ratio is big is assigned big weighting, otherwise, the scale that signal - noise ratio value is small is assigned small weight ing, and carried on weighted reconstruct to each scale section

    本文在前人研究的基礎上,在分頻疊加方面做了進一步的研究。首先對地震記錄進行剩餘時差校正,校齊同相軸,為同相疊加做好基礎工作;然後對地震記錄用小波變換的方法進行分尺度處理;對各個尺度分別做譜白化,對于高、低頻段需要做頻帶延拓,中間頻段僅提升頻譜值;對于幾種信噪比定量估計的方法進行了深入的研究,並且總結了它們的優缺點以及適用范圍;對譜白化后的地震記錄用信噪比估計值作為加權系數進行加權疊加;對于各尺度的疊加剖面也進行信噪比估計,對于信噪比大的尺度給予大的加權系數,反之,信噪比值小的尺度給予小的加權系數,對各尺度疊加剖面進行加權重構。
  13. For the purpose of wavelet ' s basic concept and wavelet transform fundamental principle, four wavelets : littlewood - paley wavelet, meyer wavelet, harmonic wavelet and odd exponent wavelet are used to analyze structural response under earthquake ; experimental investigation has been carried out for two - stories frame model ; this paper also analyzes earthquake ground motion energy and structural energy response based on wavelet ; this paper proposes dynamic reliability analysis for structure seismic response based on wavelet

    針對小波的基本概念、小波變換的基本原理,本文提出了用四種小波: littlewood ? paley小波, meyer小波,諧波小波,單邊指數小波來進行結構地震反應分析、並對二層框架模型進行振動臺試驗研究、也進行了在小波基下的地震地面運動能量分析和結構地震能量反應、以及結構地震反應在小波基下的動力可靠性分析。
  14. Therefore the dynamical characteristic is acted as detected parameter for fractured detection ( primary amplitude secondary frequence ). and the amplitude of mean sguare and central frequence are acted as evaluational parameter, based on the those studies, the new ideas is put forward that fractured azimuth is dected by lateral difference and fractured density is dected by vertical difference for three facters of fracture, wavelet acted as analysis tool and direction by wave field characteristic applied the multiple scale edge dectection and self - adaptive edge detection into the detection theory of seismic fractured azimuth, also put forward the wavelet different scale filter method of the fractured azimuth detection

    因而,確定了主要以振幅,其次是頻率的地震波動力學特徵作為裂縫檢測的被檢參數和均方振幅和中心頻率作為檢驗檢測結果正確與否的評價參數。在上述研究基礎上,針對裂縫的三要素,提出通過橫向求異檢測裂縫方位和縱向求異檢測裂縫密度的新思想。並以小波作為分析工具,以潛山波場特徵作指導,將數字圖像處理中的多尺度邊緣檢測和自適性邊緣檢測引用到地震裂縫方位檢測中來,並提出了小波變尺度濾波法新的裂縫方位檢測法。
  15. Application of wavelet deconvolution to seismic interpretation in tahe oilfield

    子波反褶積在塔河油田地震解釋中的應用
  16. First, the thesis introduces the basic theory and arithmetic of wavelet transform. secondly, based on the selection of diverse matrix function of wavelet, aiming at the given seismic data, we extract some character parameters of wavelet. following that, we carry on the analysis and comparison of the wavelet parameters in order to select the useful parameters

    論文首先介紹了小波變換的基本理論和演算法;其次,在選擇不同的小波母函數的基礎上,對給定的地震道數據進行小波特徵參數的提取;接著進行小波參數值的分析、比較,以優選油氣識別之用的小波特徵參數;然後進行小波特徵參數的綜合;最後,根據已知井位的油氣屬性,確定歸類的門檻值。
  17. Our method is based on non - linear convolution model and uses artificial nervous net algorithm and simulated annealing algorithm, introducing the acoustic impedance as condition of constrained solution to avoid the hypothesis of wavelet or reflection coefficient in common seismic inversion, and adopting the control of fine seismic interpretation model in extrapolation

    反演方法以非線性褶積模型為基礎,引入井旁聲阻抗作為解的適定性的約束條件,避開一般地震反演對地震子波及反射系數的假設。反演外推採用精細地震解釋模型控制。演算法上,引用人工神經網路和模擬退火演算法。
  18. For seismic wavelet, wavelet function is more approximate, and the time - frequency location ability of wavelet transform is far higher than that of fourier transform

    對于地震記錄的子波來說,小波函數是比較接近的一種近似,並且小波變換的時一頻局域化能力也遠遠高於傅立葉變換。
  19. Study on seismic wavelet extrapolation method

    地震子波外推方法研究
  20. First, on study of the characteristics of hydrate and the focus system, software about seismic wavelet, fitting of a polynomial are developed and applied and the model suitable for processing hydrate data is successfully created. modification has been made to the in - put and out - put of the focus system, making it possible to process the hydrate data

    首先,我們根據focus系統的特點,結合天然氣水合物的特徵,開發並研製應用了地震子波處理軟體、多項式擬和濾波軟體,並將這些軟體成功地移植到focus系統上形成了適合天然氣水合物資料處理的模塊,同時對focus地震處理系統的輸入和輸出部分進行了完善,使其能承擔天然氣水合物地震資料處理的任務。
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