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Application of seismic inversion for porosity in sandstone reservoir in west Sichuan

機(jī)譯：地震反演在孔隙度上的應(yīng)用在川西砂巖儲層中

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This paper studied the basic theory, characteristics and applicable conditions of various porosity inversion methods, such as multivariate linear regression of single attribute and multi-attribute, multi-attributes neural network, conventional geostatistics, stochastic, modeling and so on, compared and summarized that multi-attribute inversion method is obviously better than single attribute method, nonlinear inversion (neural network) is better than linear inversion, and stochastic modeling inversion is better than nonlinear inversion for the formation having strong heterogeneity, especially for that of porosity distribution are rapidly variable in sandstone reservoirs in west Sichuan. Finally, stochastic modeling inversion is adopted to predict the porosity distribution of Peng IV formation in BMM region. Good application effects are gained.
機(jī)譯：本文研究了單屬性和多屬性的多元線性回歸，多屬性神經(jīng)網(wǎng)絡(luò)，常規(guī)地統(tǒng)計(jì)學(xué)，隨機(jī)性，建模等各種孔隙度反演方法的基本理論，特征和適用條件，并對之進(jìn)行了總結(jié)和總結(jié)。多屬性反演方法明顯優(yōu)于單屬性方法，非線性反演（神經(jīng)網(wǎng)絡(luò)）優(yōu)于線性反演，隨機(jī)建模反演優(yōu)于非線性反演，因?yàn)榈貙泳哂蟹蔷|(zhì)性，尤其是孔隙度分布迅速變化的地層川西砂巖儲層中。最后，采用隨機(jī)模擬反演方法預(yù)測了BMM地區(qū)Peng IV地層的孔隙度分布。獲得良好的應(yīng)用效果。

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