摘要
借助葵花岛构造油藏描述的实际资料，较详细地叙述测井资料与地质、测试资料紧密结合，通过对四性特征分析，建立测井解释模型和各种解释图版，并建立起适合研究区不同储层的划分有效厚度的物性、电性标准。在储层渗透率计算方面采用先进的神经网络技术。从测井角度对储层非均质性进行精细描述，综合解释出油、气、水层。
With the data of Kuihuadao structure reservoir description, we conducted the analysis of reservoir rock properties combining geology, well test and log data; establish log interpretation model and charts; and establish petrophysics and electrical standard to fit different reservoir for determining effective thickness. We adopt new neural network techniques for estimating reservoir permeability. Through careful description, we distinguish hydrocarbon and water bearing formation; accurately determine reservoir heterogeneity in the aspect of log interpretation; and consequently provide reliable parameteres of reservoir quality for reserve estimation and reservoir evaluation.
关键词
油藏
测井解释
神经网络
葵花岛构造
地质勘探
reservoir description, log interpretation, neural network, kuihuadao structure
