冷家油田重力流储层的测井解释模型研究

Research of logging interpretation models for gravity flow reservoir in Lengjia oflfield

在冷家油田冷 43块油气勘探中 ,已发现大量的重力流沉积储层。该类储层非均质性强 ,油水分布复杂 ,常规测井解释结果不能反映储层的真实情况。应用数理统计理论和人工神经网络模型 ,通过系统分析 ,则可以建立多元非线性测井解释模型 ,从而准确解释油层参数 ,指导油气开发。该方法的进一步应用 ,揭示了油层I2 小层的油水分布规律 ,对改善冷家油田的开发效果提出了建议。

During petroleum exploration in block Leng43 of Lengjia oilfield,a large number of reservoirs deposited by gravity flow had been found.There was strong heterogeneity in these reservoirs,which complicated the distribution of Petroleum and made the logging interpretation results deviating from the real values.Through systematic analysis,mathematical statistics and artificial neural network theories were used to construct multivariate nonlinear logging interPretation models, so that the real reservoir parameters and suggestion for petroleum development could be given. Further application of these models has revealed oil and water distribution of I 2 substratum in s2 3 reservoir, and providedsuggestions for Lengjia oilfield development.