自適應(yīng)時(shí)窗變化的相干體技術(shù)研究
本文選題:地震數(shù)據(jù)解釋 + 相干體技術(shù)。 參考:《吉林大學(xué)》2015年碩士論文
【摘要】:尋找石油等地下礦藏一直是我國長期戰(zhàn)略性任務(wù)。目前礦藏勘探的主要方式是通過對(duì)地震資料進(jìn)行解釋以了解地質(zhì)構(gòu)造。在地震資料解釋中,斷層識(shí)別和繪制是一個(gè)重要研究內(nèi)容。相干體技術(shù)是地震斷層識(shí)別的一個(gè)重要方法,其通過分析地震相鄰道數(shù)據(jù)相似情況來以數(shù)據(jù)形式表示出地層結(jié)構(gòu)的不連續(xù)性。目前,采用固定時(shí)窗的相干體技術(shù)的討論較為常見。然而,地震數(shù)據(jù)的頻帶范圍隨時(shí)間變化而變化,若時(shí)窗較大,會(huì)采樣到多個(gè)同相軸的地震信號(hào),難以刻畫細(xì)節(jié);若時(shí)窗較小,無法識(shí)別完整的波形,較容易受干擾。為解決此問題,本文研究了一種時(shí)窗長度可隨頻帶變化而變化的相干體技術(shù)。 本文研究了地震數(shù)據(jù)解釋中斷層識(shí)別和繪制問題,提出了一種基于小波變換的自適應(yīng)時(shí)窗相干體技術(shù)。首先,文中詳細(xì)論述了相干體技術(shù),尤其是第三代相干體技術(shù)。其次,研究了地震數(shù)據(jù)瞬時(shí)屬性的提取方法,以此計(jì)算根據(jù)地震信號(hào)瞬時(shí)變化的時(shí)窗長度。文中主要利用希爾伯特變換方法與小波變換方法得到瞬時(shí)屬性,并根據(jù)瞬時(shí)屬性實(shí)時(shí)調(diào)整時(shí)窗長度來計(jì)算相干值,并以二維灰度圖片形式進(jìn)行比較、分析。針對(duì)地質(zhì)數(shù)據(jù)體的三維特性,以O(shè)penGL將二維結(jié)果置于三維空間,以顯示相干體內(nèi)部結(jié)構(gòu)。最后以O(shè)penMP并行策略對(duì)自適應(yīng)時(shí)窗相干體技術(shù)進(jìn)行實(shí)現(xiàn)和優(yōu)化,以減少運(yùn)行時(shí)間。 本文利用小波理論,研究和改進(jìn)了第三代相干體技術(shù)。文中通過計(jì)算地震數(shù)據(jù)瞬時(shí)屬性來實(shí)時(shí)調(diào)整時(shí)窗長度,以此計(jì)算相干值,可以提高相干體計(jì)算的精確性。同時(shí),文中采用并行策略對(duì)算法進(jìn)行優(yōu)化改進(jìn),提升了算法實(shí)現(xiàn)速度。實(shí)驗(yàn)結(jié)果表明,文中方法在斷層識(shí)別精度和效率上取得了良好的效果,并在處理多噪聲數(shù)據(jù)方面表現(xiàn)良好。本文工作為改進(jìn)相干體技術(shù)提供了一種新的思路,以幫助地質(zhì)工作人員對(duì)地震數(shù)據(jù)進(jìn)行更準(zhǔn)確地解釋。
[Abstract]:It has been a long-term strategic task for our country to search for underground mineral deposits such as oil.At present, the main way of mineral exploration is to understand geological structure by interpreting seismic data.Fault identification and rendering is an important research content in seismic data interpretation.Coherent volume technique is an important method for seismic fault identification. By analyzing the similarity of seismic adjacent trace data, the discontinuity of stratigraphic structure can be expressed in the form of data.At present, the discussion of coherent volume technique using fixed time window is more common.However, the frequency range of seismic data varies with time. If the time window is large, it will sample many seismic signals in the same phase axis, so it is difficult to depict the details, and if the time window is small, it is difficult to recognize the complete waveform, so it is easy to be disturbed.In order to solve this problem, a coherent volume technique is studied, in which the length of time window varies with the frequency band.The problem of fault identification and rendering in seismic data interpretation is studied in this paper. An adaptive time-window coherent volume technique based on wavelet transform is proposed.Firstly, the coherent volume technique, especially the third generation coherent volume technique, is discussed in detail.Secondly, the method of extracting instantaneous attribute of seismic data is studied to calculate the time window length according to the instantaneous variation of seismic signal.In this paper, Hilbert transform method and wavelet transform method are used to obtain the instantaneous attribute, and the temporal window length is adjusted in real time according to the instantaneous attribute, and the coherent value is calculated and compared in the form of two-dimensional gray image.According to the three-dimensional characteristics of geological data volume, the two-dimensional results are placed in three-dimensional space by OpenGL to display the internal structure of coherent volume.Finally, the adaptive time-window coherent volume technique is implemented and optimized with OpenMP parallel strategy to reduce the running time.In this paper, the third generation coherent volume technique is studied and improved by wavelet theory.By calculating the instantaneous attribute of seismic data to adjust the length of time window in real time and calculate the coherence value, the accuracy of coherent volume calculation can be improved.At the same time, the parallel strategy is used to optimize and improve the algorithm.The experimental results show that the proposed method has achieved good results in fault recognition accuracy and efficiency, and has shown a good performance in dealing with multi-noise data.The work in this paper provides a new way of thinking for improving coherent volume technique to help geological workers to interpret seismic data more accurately.
【學(xué)位授予單位】:吉林大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:P631.44
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