精细相控随机建模及其模型检验  

Fine Facies-constrained Stochastic Modeling and Model Verification

作　　者：王亚会 闫正和 涂乙 陈敏政 汪毅 孙润平 Wang Yahui;Yan Zhenghe;Tu Yi;Chen Minzheng;Wang Yi;Sun Runping(Shenzhen Branch,CNOOC China Limited,Guangdong Shenzhen 518067)

机构地区：[1]中海石油(中国)有限公司深圳分公司,广东深圳518067

出　　处：《中外能源》2020年第4期39-44,共6页Sino-Global Energy

基　　金：国家科技重大专项“南海东部海域大中型油气田地质特征”(编号:2011ZX05023-006-03)部分研究成果。

摘　　要：在Y油田油藏非均质性和油水关系等分析基础上,运用Petrel相控随机建模技术,利用单井相分析数据和测井二次解释的属性数据,得到了沉积微相模型和微相控制下的属性模型。Y油田储层沉积模型主要为曲流河流沉积,发育有分流河道、分流河道侧缘心滩和河漫湖泊等微相;在相带约束下的模型,属性高值主要集中在分流河道和心滩内,能更准确反映物性在储层空间的展布规律。经模型一致性和抽稀井验证,结合动、静态资料进行分析,储集层属性分布与沉积微相展布相互对应。结果表明,物性参数模型能反映实际储层非均质性,地层压力检验验证了模型砂体是否对接的合理性;同时按照10%的比例随机抽取其中的20口井作为抽稀井,相对误差主要集中在1%左右,说明地质模型与原始数据吻合程度高,砂体在空间的展布和储层非均质性变化符合实际地质情况。精细相控建模降低了随机建模的不确定性,所建模型再现河流相储层复杂的空间结构和几何形态。Based on the analysis of reservoir heterogeneity and oil-water relationship in Oilfield Y,sedimentary microfacies model and attribute model controlled by microfacies are put forward through Petrel facies-constrained stochastic modeling technology according to facies analysis data of single well and attribute data secondly interpreted by logging.The sedimentary model of the reservoirs in Oilfield Y is that of meandering river mainly including distributary channel,central bar at edge of distributary channel,flooding lake and other microfacies.The model constrained by facies belt may reflect the distribution of physical property at reservoir space accurately since the high value of attribute focuses in the distributary channel and central bar.According to the consistency of the model and the verification of pumping wells,the distribution of reservoir attributes corresponds to the distribution of sedimentary microfacies through the analysis of statistic and dynamic data.The results show that the physical property parameter model can reflect the heterogeneity of the actual reservoir,and the formation pressure verifies whether theconnectingof current sand body is reasonable or not;at the same time,according to the proportion of 10%,20 wells are randomly selected as thin wells,and the relative error is mainly about 1%,which shows that the geological model and the original data are highly consistent,and the space distribution of the sand body and the heterogeneity of reservoirs are almost the same with actual geological conditions.Fine facies-constrained modeling reduces the uncertainty of stochastic model-ing,and the model can represent the complex spatial structure and geometry configuration of fluvial reservoir.

关 键 词：相控建模 沉积微相模型 属性模型 模型验证 

分 类 号：P618.13[天文地球—矿床学]