微地震信號自動檢測及震源掃描分割矩陣反演方法研究
發(fā)布時(shí)間：2018-10-20 12:12
【摘要】：微地震監(jiān)測是以聲發(fā)射學(xué)和地震學(xué)為基礎(chǔ)的地球物理新方法,主要應(yīng)用于油氣田開發(fā)、礦山地質(zhì)災(zāi)害監(jiān)測和工程建設(shè)選址等工程領(lǐng)域。本論文在系統(tǒng)研讀剖析微地震監(jiān)測文獻(xiàn)資料與相關(guān)研究工作成果基礎(chǔ)上,開展了以震源掃描分割矩陣算法反演方法研究為重點(diǎn),兼顧微地震正演模擬、微地震信號自動檢測(事件識別與走時(shí)參數(shù)拾取)的方法理論學(xué)習(xí)和算法程序?qū)崿F(xiàn),以及實(shí)測資料處理與工程應(yīng)用實(shí)踐等工作。編程實(shí)現(xiàn)了水平層狀介質(zhì)快速兩點(diǎn)間射線追蹤算法微地震數(shù)值模擬正演分析軟件。其中包括三維水平層狀介質(zhì)射線追蹤、微地震記錄三分量合成和噪音添加子程序�；谕晃⒌卣鹗录盘栐诟饔涗浀郎暇哂幸欢ㄏ嗨菩缘臏�(zhǔn)則和運(yùn)用波形互相關(guān)法,進(jìn)一步完成了微地震信號自動檢測方法軟件編程工作。論文針對分割矩陣算法快速求解最優(yōu)化問題的方法進(jìn)行了深入剖析和跟蹤研究,認(rèn)識到搜索空間的劃分和潛在最優(yōu)空間的識別是該方法的核心技術(shù),在此基礎(chǔ)上進(jìn)一步實(shí)現(xiàn)了分割矩陣算法震源參數(shù)掃描反演程序設(shè)計(jì)。理論模型和實(shí)測微地震數(shù)據(jù)反演測試結(jié)果表明,該算法收斂速度較快,反演精度高。通過地面監(jiān)測、井下(豎直井、斜井、彎井)以及地-井監(jiān)測等多個(gè)模型的正演測試,驗(yàn)證了所編正演程序的正確性和高效性。此外,本論文特別注意到地表近水平面微地震監(jiān)測情況下,震源定位結(jié)果中的Z坐標(biāo)精度(埋深和標(biāo)高)通常沒有X、Y坐標(biāo)精度高的事實(shí),提出應(yīng)借助起伏地形環(huán)境,將地面監(jiān)測接收器站點(diǎn)布設(shè)在高差合理錯(cuò)落的起伏地形之上的新思路,對山地環(huán)境地面微地震監(jiān)測震源參數(shù)反演精度有一定提高。并且這一微地震監(jiān)測地面觀測系統(tǒng)理念,可采用“地面接收器+錐探孔接收器”組合測站模式,進(jìn)而有效提高近水平面地形環(huán)境微地震監(jiān)測地質(zhì)效能與震源定位精度。論文在上述工作基礎(chǔ)上就實(shí)測微地震數(shù)據(jù)處理與反演進(jìn)行了相應(yīng)工作,并取得了一定成果。
[Abstract]:Microseismic monitoring is a new geophysical method based on acoustic emission and seismology, which is mainly used in the fields of oil and gas field development, mine geological hazard monitoring and engineering construction site selection. On the basis of systematic study and analysis of microseismic monitoring literature and related research results, this paper focuses on the inversion method of focal scanning partitioning matrix algorithm, and takes microseismic forward modeling into account. The method of automatic detection of microseismic signal (event identification and walking time parameter pick-up) is studied and realized in theory and algorithm, as well as the processing of measured data and the practice of engineering application. The forward analysis software of micro-seismic numerical simulation for fast two-point ray tracing algorithm in horizontal layered medium is developed. It includes three dimensional horizontal layered medium ray tracing, three component synthesis of microseismic records and noise adding subroutine. Based on the criterion that the same microseismic event signal has certain similarity on every track and the waveform cross-correlation method is used, the software programming of automatic detection method of microseismic signal is further completed. In this paper, the method of fast solving optimization problem based on partitioning matrix algorithm is deeply analyzed and tracked. It is recognized that the partition of search space and the recognition of potential optimal space are the core technologies of this method. On this basis, the program design of source parameter scanning inversion based on partitioning matrix algorithm is further realized. The experimental results of theoretical model and measured microseismic data show that the algorithm converges quickly and has high inversion accuracy. The correctness and efficiency of the program are verified by the forward modeling tests of surface monitoring, downhole (vertical well, inclined well, curved well) and ground-well monitoring. In addition, this paper pays special attention to the fact that the Z coordinate accuracy (buried depth and elevation) in the focal location results is usually not high in the case of surface near-horizontal micro-seismic monitoring. It is suggested that the relief terrain environment should be used. The new idea of placing the ground monitoring receiver station on the undulating terrain with reasonable height difference can improve the inversion accuracy of the focal parameters of the ground micro-seismic monitoring in the mountainous environment. The concept of micro-seismic monitoring ground observation system can adopt the combined station model of "ground receiver cone-hole probe receiver", which can effectively improve the geological efficiency and focal location accuracy of micro-seismic monitoring in near-horizontal terrain environment. On the basis of the above work, the paper has carried on the corresponding work on the processing and inversion of the measured microseismic data, and has obtained certain results.
【學(xué)位授予單位】：長安大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：P631.4
[Abstract]:Microseismic monitoring is a new geophysical method based on acoustic emission and seismology, which is mainly used in the fields of oil and gas field development, mine geological hazard monitoring and engineering construction site selection. On the basis of systematic study and analysis of microseismic monitoring literature and related research results, this paper focuses on the inversion method of focal scanning partitioning matrix algorithm, and takes microseismic forward modeling into account. The method of automatic detection of microseismic signal (event identification and walking time parameter pick-up) is studied and realized in theory and algorithm, as well as the processing of measured data and the practice of engineering application. The forward analysis software of micro-seismic numerical simulation for fast two-point ray tracing algorithm in horizontal layered medium is developed. It includes three dimensional horizontal layered medium ray tracing, three component synthesis of microseismic records and noise adding subroutine. Based on the criterion that the same microseismic event signal has certain similarity on every track and the waveform cross-correlation method is used, the software programming of automatic detection method of microseismic signal is further completed. In this paper, the method of fast solving optimization problem based on partitioning matrix algorithm is deeply analyzed and tracked. It is recognized that the partition of search space and the recognition of potential optimal space are the core technologies of this method. On this basis, the program design of source parameter scanning inversion based on partitioning matrix algorithm is further realized. The experimental results of theoretical model and measured microseismic data show that the algorithm converges quickly and has high inversion accuracy. The correctness and efficiency of the program are verified by the forward modeling tests of surface monitoring, downhole (vertical well, inclined well, curved well) and ground-well monitoring. In addition, this paper pays special attention to the fact that the Z coordinate accuracy (buried depth and elevation) in the focal location results is usually not high in the case of surface near-horizontal micro-seismic monitoring. It is suggested that the relief terrain environment should be used. The new idea of placing the ground monitoring receiver station on the undulating terrain with reasonable height difference can improve the inversion accuracy of the focal parameters of the ground micro-seismic monitoring in the mountainous environment. The concept of micro-seismic monitoring ground observation system can adopt the combined station model of "ground receiver cone-hole probe receiver", which can effectively improve the geological efficiency and focal location accuracy of micro-seismic monitoring in near-horizontal terrain environment. On the basis of the above work, the paper has carried on the corresponding work on the processing and inversion of the measured microseismic data, and has obtained certain results.
【學(xué)位授予單位】：長安大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：P631.4
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