Abstract
Density curve is one of the indispensable data for impedance inversion. However, the limitation of density logging often results in the loss of density curve. The common solution is to use empirical formulas, such as Gardner formula, to reconstruct the density curve, but the effect is often not ideal. In order to solve this problem, the authors propose to reconstruct the missing density log curve by means of multiple linear regression, and then carry out geostatistical inversion by using the curves with high correlation between natural potential, gamma, resistivity and density curve. Finally, by comparing the inversion results of the two parameters, the inversion results of the former have a significant improvement in the coincidence rate of the posterior wells and the horizontal distribution of sandstone, which proves that the method has a significant application effect in reservoir prediction and lithologic sensitivity.
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