论文部分内容阅读
在综合考虑沉积微相和成岩作用对储集层孔隙度影响的基础上,建立了辽河坳陷双清地区不同沉积微相成岩指数ID与储集层平均孔隙度的相关关系,预测了该地区沙四段储集层在各沉积时期的平均孔隙度,恢复了孔隙演化史,确定了不同沉积时期有效油气储集层的分布范围。孔隙度预测结果表明,有效油、气储集层分布于研究区北部孔隙度大于5.8%的地区。孔隙演化史的模拟结果表明,储集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。储集层预测孔隙度与实测孔隙度的绝对误差为2.7%,而研究区储集层的填隙物含量在1.0%～40.0%之间,平均为21.7%,由此可见,所建预测模型可用于填隙物含量较高的储集层钻前孔隙度预测和孔隙演化史模拟。
Based on comprehensively considering the influence of sedimentary microfacies and diagenesis on the porosity of reservoirs, the correlation between diagenetic index (ID) of different sedimentary microfacies and reservoir average porosity in Shuangqing area of Liaohe Depression was established. The average porosity of the Shasian-4 reservoir during each sedimentary period restored the pore evolution history and determined the distribution range of effective oil and gas reservoirs in different sedimentary periods. Porosity prediction results show that effective oil and gas reservoirs are distributed in the northern part of the study area with a porosity greater than 5.8%. The simulation results of pore evolution history show that the porosity of the reservoir was mainly affected by the sedimentary facies in the early burial period and controlled mainly by diagenesis in the late stage. The absolute error between the predicted porosity and the measured porosity in the reservoir is 2.7%, while that of the reservoir in the study area is between 1.0% and 40.0% with an average of 21.7%. Therefore, the prediction model It can be used to predict pre-drill porosity and to simulate pore evolution history of reservoirs with high interstitial content.