水下扇储层沉积微相建模——以濮城油田沙三中亚段油藏为例  

STOCHASTIC MODELING OF MICROFACIES OF UNDERWATER FAN: AN EXAMPLE FROM THE 6~10 LAYERS OF Es_3~2 IN THE PUCHENG OILFIELD, DONGPU DEPRESSION

作　　者：尹艳树[1] 吴胜和[1] 毛立华[2] 李中超[2] 田永强[3] 

机构地区：[1]中国石油大学(北京)资源与信息学院,北京102249 [2]中原油田勘探开发研究院,河南濮阳457001 [3]长庆油田公司勘探部,西安710021

出　　处：《海洋地质与第四纪地质》2005年第4期125-130,共6页Marine Geology & Quaternary Geology

基　　金：中国石化集团科技攻关项目(P031033)

摘　　要：储层沉积微相是影响储层非均质性的重要因素之一,准确预测储层沉积微相分布对认识储层非均质性、提高油田油气采收率具有重要意义。储层随机建模方法具有很强的地质适用性,合理选择随机建模方法能够有效提高模型精度。以东濮凹陷濮城油田沙三中亚段6-10水下扇油藏为例,由于水下扇沉积储层微相具有几何构型及空间分布复杂的特点,选择序贯指示建模可以对不同微相采用不同变差函数来表征其空间分布结构特征,从而再现储层微相复杂的空间分布。通过定义沟道吻合程度参数Mat对模拟实现进行检验,抽稀井沟道吻合程度参数Mat平均值达到84.7%,表明建模结果具有较高的准确度。序贯指示建模适合于建立水下扇储层沉积微相模型。The microfacies is an important factor on reservoir heterogeneities. The precisely forecasting of the distribution of microfacies is very important to recognize the reservoir heterogeneities and increase the oil recovery. Reservoir stochastic modeling depends on the sedimentary environment, and a reasonable choice of the modeling algorithm will give a more precise model. This paper takes underwater fan of Es3^2 in the Pucheng Oilfield as an example to discuss the methods for stochastic modeling of underwater fan. So a reference and accordance can be gained to guide the modeling of the analogic sediment environment. The result shows that the sequential indicator modeling is a good method that can build a well model of the microfacies distribution of underwater fan of 6-10 layers. The authors define a parameter of channe! match ratio（Mat） to check out the precision of the model quantitatively. The average Mat is up to 84.7 percent. A conclusion has been drawn that the sequential indicator modeling can be used to model the microfacies of the underwater fan.

关 键 词：水下扇 序贯指示建模 沙三中亚段6-10油藏 濮城油田 

分 类 号：P618.2[天文地球—矿床学]