无井条件下建立碎屑岩储层地震地质模型研究

Research on constructing clastic reservoir seismic geologic model under no well condition

常规的储层建模以井数据为基础,建立孔隙度、渗透率和含油饱和度等储层属性参数模型,并通过油田开发生产数据进行拟合,得到最佳地质模型.在南海西北部深水区无井控制的情况下,针对中央峡谷浊积水道储层,采用确定性建模与连续型随机建模相结合的方法,建立碎屑岩储层地震地质模型,应用地震正演模拟和相似性分析方法,确定浊积水道砂体最佳模拟参数.文章首先分析了碎屑岩储层特征,应用连续型随机建模的方法模拟储层空间分布.然后分析实际地震、地质资料,应用层序地层学思想,对研究区划分沉积体系域,建立层序地层格架;基于波阻抗和多种地震属性,采用人机交互的方法对浊积水道储层框架结构进行精细解释,建立储层结构模型;将储层结构模型与砂泥互层随机介质进行"交"、"并"运算,利用连续型随机模拟方法对储层内部介质进行精细刻画,建立中央峡谷浊积水道随机介质储层模型;通过对模型正演模拟、常规处理和相似性分析等建立最佳储层模型.文章研究了在无井条件下建立储层地震地质模型的方法,揭示南海西北部深水区中央峡谷浊积水道储层的空间展布和内部结构特征.

Conventional reservoir modeling methods are based on the well data; the model contains the porosity, permeability and oil saturation et al. The optimal reservoir model is obtained by using history matching method with the production data. Under no well condition, the paper uses the seismic forward modeling and similarity analysis to build the optimal turbidite channel reservoir model in the center canyon in the deepwater area of northwestern South China Sea. The clastic reservoir seismic geological model is built by the deterministic modeling and continuous stochastic modeling methods. First, the paper analyzes the characteristics of clastic reservoirs, and uses the continuous stochastic modeling method to simulate the reservoir distribution in space. And then, the paper analyzes the seismic data and geological data. The stratum architecture model is obtained by sequence stratigraphy interpretation. On the basis of the stratum architecture model, the reservoir architecture model is established by using the fine interpretation of human-computer interaction method and combining with the seismic data analysis, such as wave impedance analysis and conventional seismic attributes analysis. The paper uses the algorithms of ‘replacement’ and ‘merge’ on reservoir architecture model and stochastic medium of sand and shale interbed to establish the turbidite channel reservoir architecture. The stochastic modeling method can effectively depict the fine architecture of the reservoir. The paper uses forward modeling, conventional seismic data processing analysis and similarity analysis et al. to obtain the ideal reservoir model. The research focuses on constructing reservoir seismic geologic model method under no well condition, reveals the spatial distribution and internal architecture features of turbidite channel reservoir in the center canyon in the deepwater area of northwestern South China Sea.