不同类型砂体储层参数测井解释模型优化

OPTIMIZATION OF LOGGING INTERPRETATION MODEL OF RESERVOIR PARAMETERS OF DIFFERENT TYPES OF SAND BODIES

大庆油田萨中开发区已进入特高含水开发阶段，地下储层参数和测井曲线的响应均发生变化，非均质性进一步增强。精细地质研究已经精细到储层的每个沉积单元，而目前的储层参数解释模型只是按储层薄厚建立，不同的沉积特征储层用相同的模型解释储层参数，不能满足油田深入挖潜精细研究的需要。为此，根据研究区域不同沉积环境下储层发育的特点，研究建立了优化的储层参数测井解释模型：基于密闭取心井资料、测井资料及精细地质研究成果等，采用多元回归分析等方法，分不同油层组和不同类型砂体建立岩电对应关系，实现储层参数测井解释模型的优化。一是建立了葡二组Ⅰ类表外储层参数测井解释优化模型，为表外储层的油藏描述和开发创造条件；二是建立了三角洲内前缘相萨二组河道砂体和葡二组非河道砂体储层参数解释优化模型，为不同类型砂体储层的油藏描述创造了条件，提高了测井解释参数计算精度。

As Sazhong development area in Daqing Oilfield has stepped into ultra-high water cut stage, subsurface reservoir parameters and log response both change and then further increase heterogeneity of reservoir. Fine geologic study is already made on each depositional unit, but present reservoir parameter interpretation model is established only according to the thickness of reservoir. The same parameter interpretation model used for reservoirs with different depositional properties can not meet the need of further development. Thus, in accordance with the development characteristics of reservoir under diverse depositional settings in studied area, this paper establishes an optimized log interpretation model of reservoir parameters. Based on sealed coring hole, log information and fine geologic research, with the method of multiple regression, relation between lithology and electric property is established ac- cording to different reservoir groups and diversified types of sand bodies, which realizes optimization of log interpretation model of reservoir parameters. First, optimized log interpretation model for Class Ⅰ unbooked reserves parameters of Pu Ⅱ Member is built, providing provisions for reservoir description and development ; second, optimized log interpretation models for channel sand of Sa Ⅱ Member of deltaic inner front facies and non-channel sand of Pu Ⅱ Member are established, which provide provisions for reservoir description of different type sandbodies and increase calculation accuracy of logging interprating parameters.