本文選題：混合遺傳算法 + 疊前隨機(jī)反演　； 參考：《中國(guó)石油大學(xué)學(xué)報(bào)(自然科學(xué)版)》2017年04期

【摘要】：針對(duì)常規(guī)隨機(jī)反演方法計(jì)算效率低的問題,提出一種基于混合遺傳算法的疊前隨機(jī)反演方法。該方法充分利用測(cè)井資料中的高頻信息,并以地震數(shù)據(jù)作為約束,首先通過快速傅里葉滑動(dòng)平均(fast Fourier transform-moving average,FFT-MA)譜模擬算法進(jìn)行隨機(jī)模擬得到基于地質(zhì)統(tǒng)計(jì)學(xué)的初始模型信息,隨后結(jié)合提出的混合遺傳算法對(duì)模擬結(jié)果進(jìn)行快速優(yōu)化,得到符合地下地質(zhì)結(jié)構(gòu)的反演剖面,實(shí)現(xiàn)對(duì)疊前彈性參數(shù)的反演�；旌线z傳算法避免了一般遺傳算法常見問題,如收斂速度慢以及產(chǎn)生"早熟"現(xiàn)象,與模擬退火相結(jié)合能夠快速收斂達(dá)到全局最優(yōu),保證了反演精度。數(shù)值試驗(yàn)結(jié)果表明,融入混合遺傳算法的疊前隨機(jī)反演方法,在充分利用疊前信息的同時(shí)可以保證反演結(jié)果有效收斂,并且與模型數(shù)據(jù)吻合較好,與傳統(tǒng)的疊前反演方法相比具有較高的分辨率,在儲(chǔ)層識(shí)別和油藏描述中起到了重要作用。
[Abstract]:A prestack stochastic inversion method based on hybrid genetic algorithm is proposed to solve the problem of low computational efficiency of conventional stochastic inversion methods. This method makes full use of the high frequency information in the logging data and takes seismic data as the constraint. Firstly, the initial model information based on geostatistics is obtained by random simulation using the fast Fourier transform-moving averaging FFT-MAA spectrum simulation algorithm. Then the simulation results are quickly optimized by using the hybrid genetic algorithm, and the inversion profiles consistent with the underground geological structure are obtained, and the inversion of prestack elastic parameters is realized. Hybrid genetic algorithm avoids the common problems of general genetic algorithm, such as slow convergence speed and "premature" phenomenon. Combined with simulated annealing, the hybrid genetic algorithm can quickly converge to the global optimum and ensure the inversion accuracy. The numerical results show that the prestack stochastic inversion method incorporating the hybrid genetic algorithm can make full use of prestack information and ensure that the inversion results are convergent effectively and are in good agreement with the model data. Compared with the traditional prestack inversion method, it has higher resolution and plays an important role in reservoir identification and reservoir description.
【作者單位】： 中國(guó)石油大學(xué)地球科學(xué)與技術(shù)學(xué)院;海洋國(guó)家實(shí)驗(yàn)室海洋礦產(chǎn)資源評(píng)價(jià)與探測(cè)技術(shù)功能實(shí)驗(yàn)室;
【基金】：國(guó)家自然科學(xué)基金-石油化工基金聯(lián)合重點(diǎn)項(xiàng)目(U1562215) 國(guó)家自然科學(xué)基金項(xiàng)目(41204085)
【分類號(hào)】：P618.13;P631.4

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