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砂砾岩是油气储集的有利地层之一,但由于其岩性复杂、埋藏深、低孔低渗、非均质性强等特点造成砂砾岩测井评价困难。针对砂砾岩储层的这些特点,本文建立了多组分模型,并采用最速下降法求取多组分模型的最优解,得到储层孔隙度和各组分的含量。结果表明,多组分模型最优化方法适用于求解砂砾岩孔隙度及各组分含量。
Glutenite is one of the favorable reservoirs for oil and gas reservoirs. However, because of its complex lithology, deep burial, low porosity and permeability, and strong heterogeneity, gravel logging is difficult to evaluate. According to these characteristics of sandstone conglomerate reservoir, a multi-component model was established and the optimal solution of multi-component model was obtained by the steepest descent method to get the reservoir porosity and the content of each component. The results show that the multi-component model optimization method is suitable for solving the porosity and content of glutenite.