期刊文献+

低渗透油藏分类评价方法及其应用 被引量:12

Classifying and evaluating method for the low-permeability oil reservoir and its application
下载PDF
导出
摘要 常规低渗透油藏分类方法考虑因素单一,不能和动态数据进行结合。为了使低渗透油藏分类更加细致、直观,采用渗透率,流度双因子静态分类方法将低渗透油藏划分6类,同时利用产液量,产油量,含水率3个动态参数对低渗透油藏进行分类,划分为15个动态类型。为直观快速的应用此分类方法,提出以VS.NET 2013为开发平台、MapGuide为支持平台建立基于SVM的低渗透油藏分类开发评价系统,同时利用Oracle,建立低渗透油藏数据库,实现单井、开发单元的开发规律程序化。结果表明,以新疆油田百21井区克上组为例,应用此评价系统,得到井位动态类型分析结果与实际地质情况、油藏方位相符。 For the single factor consideration of the conventional low-permeability oil reservoir classifying method and having no way to integrate with the dynamic data, in order to make more fine and visual classification of the reservoir, with the help of permeability-mobility double-factor static classifying method, the reservoir was divided into six categories, at the same time, by adopting the following three dynamic parameters: liquid production, oil production and water cut to classify the reservoir into fifteen dynamic types. In the light of the visual and rapid application of the dividing method, on the bases of presented VS.NET 2013 development platform and MapGuide support platform, the evaluating system of the reservoir classified development was established based on SVM, and also build low-permeability reservoir data base supported by Oracle,so as to realize the routinization of the development rule of both the single well and developing unit. The results show that taking Keshang Formation in Well Block Bai-21of Xinjiang Oilfield as an example, by adopting the evaluating system, the obtained analyzed results of the well-location dynamic type are consistent with the actual geological condition and oil reservoir orientation.
作者 苏婷 潘志坚 李楠 SU Ting;PAN Zhijian;LI Nan(PetroChina Research Institute of Petroleum Exploration and Development,Beijing 100083,China)
出处 《大庆石油地质与开发》 CAS CSCD 北大核心 2019年第2期87-92,共6页 Petroleum Geology & Oilfield Development in Daqing
基金 国家科技重大专项"低/超低渗透油田有效开发关键技术研究"之子课题"特/超低渗透油藏开发评价及对策研究"(2016B-1305)
关键词 低渗透油藏 静态分类 评价系统 动态分类 数据库 low-permeability oil reservoir static classification/division evaluating system dynamic classification data base
  • 相关文献

参考文献10

二级参考文献73

共引文献309

同被引文献193

引证文献12

二级引证文献50

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部