测井技术2011，Vol.35Issue(5)：436-440,5.
多重分形聚类在碳酸盐岩储层常规测井评价中的应用
Application of Multi-fractal Clustering Method to Carbonate Reservoir Evaluation with Logs
王婧慈 1郭海敏 2时新磊1
作者信息
- 1. 长江大学油气资源与勘探技术教育部重点实验室,湖北 荆州 434023
- 2. 长江大学地球物理与石油资源学院,湖北 荆州 434023
- 折叠
摘要
Abstract
Different types of carbonate reservoirs are classified with the core data, imaging log data and conventional log data, based on which different types of interpretation models are established. The multi-fractal clustering method which considers the weights is used to identify the types of reservoirs by using conventional log data. Corresponding models are used to evaluate reservoirs. This classification method mentioned above can effectively identify the information which are not obvious. It is not limited to the spatial proximity of high-dimensional information, but highlights the overall similarity of information structure. The results show that this method is effective and convenient for the carbonate reservoir evaluation lacking imaging log data.关键词
测井解释/碳酸盐岩/多重分形聚类/常规测井/复杂储层Key words
log interpretation/ carbonate/ multi-fractal clustering/ conventional logging/ complex reservoir分类
天文与地球科学引用本文复制引用
王婧慈,郭海敏,时新磊..多重分形聚类在碳酸盐岩储层常规测井评价中的应用[J].测井技术,2011,35(5):436-440,5.
