储层孔隙度预测与孔隙演化史模拟方法探讨——以辽河拗陷双清地区为例

在成岩作用数值模拟的基础上，通过建立辽河拗陷双清地区不同沉积微相成岩指数ID与储层平均有效孔隙度的相关模型，预测了该地区古近系Es3下储层的孔隙度，恢复了孔隙演化史，确定了有效油、气储层的分布范围。孔隙度预测的结果表明，有效油、气储层分布于孔隙度大于8.5％和5.8％的斜坡区。储层预测平均孔隙度与实测孔隙度之间的绝对误差为2.8％，而研究区储层的填隙物含量在1.2%～45.0%之间，平均为16.9%。由此可见，这种模型可用于填隙物含量较高储层的钻前孔隙度预测和孔隙演化史模拟。孔隙演化史的模拟结果表明，储层孔隙度在埋藏早期主要受沉积相的影响，而在晚期则主要受成岩作用的控制。

Reservoir Porosity Prediction and Its Evolving History Modeling:a case of Shuangqing Region in the Liaohe West Depression

Based on the diagenetic modeling, the reservoir porosity of the lower Third Member of Shahejie Formation(Es3l) was predicted, and the porosity evolving histories was modeled, and the areas of effective oil and gas reservoirs were determined through building correlation models between the diagenetic intensity index(ID) and reservoir average porosity for various sedimentary microfacies of Shuangqing area of the Liaohe Depression. The results of porosity prediction show that the area of effective oil reservoirs with porosity greater than 8.5％ and effective gas reservoirs with porosity greater than 5.8％ are distributed on the slope zones. The absolute error between the predicted average porosity and measured porosity is 2.8％. However, the pore filling contents are up to 1.2%～45.0%, averaging at 16.9%.It means that these kinds of models are suitable for the porosity prediction and porosity evolving history modeling of classic rock reservoirs with more pore filling contents. The porosity evolving history modeling results suggest that the reservoir porosity during the early burial time is effected dominantly by sedimentary facies, but the reservoir porosity in the late burial time is controlled mainly by diagenesis. 