PP波和PS波聯(lián)合AVO反演方法研究
本文選題:PP波 + PS波; 參考:《中國石油大學(xué)(華東)》2015年碩士論文
【摘要】:AVO反演是利用振幅隨偏移距的變化規(guī)律來估算儲層巖石及流體的彈性參數(shù)并進行油氣檢測。通常情況下,是利用縱波AVO反演技術(shù)反演得到縱、橫波速度和密度等彈性參數(shù),然而縱波AVO反演往往不能獲取準(zhǔn)確的橫波速度和密度信息。為此本文基于多波多分量地震資料,開展了PP波和PS波聯(lián)合AVO反演方法的研究。針對無約束情況下的PP波和PS波聯(lián)合AVO三參數(shù)反演存在的不適定問題,在測井資料充足情況下,本文從正則化反演角度,基于縱波井約束反演,將轉(zhuǎn)換橫波信息加入構(gòu)建了由縱波、轉(zhuǎn)換橫波以及井資料組成的目標(biāo)函數(shù),提出了井約束下的PP波和PS波聯(lián)合AVO反演方法;從概率化反演角度,將基于貝葉斯框架下的縱波AVO波形反演方法與PP、PS波聯(lián)合AVO反演方法結(jié)合在一起實現(xiàn)了基于貝葉斯理論的PP和PS波聯(lián)合AVO波形反演來得到高精度和高分辨率的三參數(shù)反演結(jié)果。針對井資料缺乏的地震工區(qū),AVO反演存在密度反演不準(zhǔn)確的問題,本文提出了PP波和PS波分步聯(lián)合AVO反演方法。即首先通過兩參數(shù)聯(lián)合反演縱橫波速度,以反演出來的縱波速度作為已知量并舍棄得到的橫波速度,再通過兩參數(shù)聯(lián)合反演得到橫波速度和密度以得到準(zhǔn)確的三參數(shù)反演結(jié)果。本文通過測井?dāng)?shù)據(jù)合成道集、Marmousi2模型和某工區(qū)實際資料來測試檢驗本文提出的PP波和PS波聯(lián)合AVO反演方法,模型測試表明三種PP波和PS波聯(lián)合AVO反演方法都能得到相對準(zhǔn)確的反演三參數(shù),證明了PP波和PS聯(lián)合AVO反演方法的可行性。實際資料測試說明了PP波和PS波分步聯(lián)合AVO反演方法的實用性。
[Abstract]:AVO inversion is to estimate the elastic parameters of reservoir rocks and fluids and to detect oil and gas by using the variation of amplitude with offset. In general, P-wave AVO inversion technique is used to obtain elastic parameters such as longitudinal, shear wave velocity and density. However, P-wave AVO inversion is often unable to obtain accurate S-wave velocity and density information. Therefore, based on multiwave and multicomponent seismic data, the research of PP wave and PS wave combined AVO inversion method is carried out in this paper. Aiming at the ill-posed problem of PP wave and PS wave combined AVO three-parameter inversion under unconstrained condition, under the condition of sufficient logging data, this paper, from the angle of regularization inversion, is based on P-wave constraint inversion. The objective function composed of P-wave, converted S-wave and well data is constructed by adding the converted S-wave information, and a joint AVO inversion method of PP wave and PS wave under well constraint is proposed, which is based on probabilistic inversion. The P-wave AVO waveform inversion method based on Bayesian framework is combined with PPPS-wave combined AVO inversion method to realize PP and PS wave combined AVO waveform inversion based on Bayesian theory to obtain high precision and high resolution three-parameter inversion results. Aiming at the problem of inaccuracy of density inversion in AVO inversion in seismic work area where well data is lacking, a step by step combined AVO inversion method of PP wave and PS wave is proposed in this paper. That is to say, the velocity of P-S wave is firstly inversed by two parameters, the velocity of P-wave is used as known quantity and the velocity of S-wave is discarded, then the velocity and density of S-wave are obtained by joint inversion of two parameters to get the accurate result of three-parameter inversion. In this paper, the combined AVO inversion method of PP wave and PS wave is tested and verified by combining the Marmousi2 model with logging data and the actual data of a certain working area. The model tests show that the three kinds of PP wave and PS wave combined AVO inversion methods can obtain relatively accurate inversion parameters, which proves the feasibility of PP wave and PS combined AVO inversion method. The practical data show the practicability of PP wave and PS wave step by step AVO inversion method.
【學(xué)位授予單位】:中國石油大學(xué)(華東)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:P631.4
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