引用本文:[点击复制]
[点击复制]
【打印本页】 【在线阅读全文】【下载PDF全文】 查看/发表评论下载PDF阅读器关闭

←前一篇|后一篇→

过刊浏览    高级检索

本文已被:浏览 35次   下载 66 本文二维码信息
码上扫一扫!
中国石化新区不同类型油藏开发指标快速评价模型的构建
赵庆飞,凡哲元,郑祥克,徐卿莲,张中华
0
(中国石化石油勘探开发研究院,北京100083)
摘要:
为了快速评价或优选原油产能建设项目,采用统计分析方法,深入剖析2007—2015年中国石化新区产能建设 项目,得到了普通稠油、热采稠油、一般低渗透、特低渗透、一般断块、复杂断块、缝洞型碳酸盐岩和海上等8类油藏影响开发方案油藏工程关键参数设计的主控因素,包括油藏类型、地质储量、含油面积、油藏埋深、渗透率和原油黏度等,建立了对应8类油藏的油藏参数与单井产能开发指标的评价模型。针对2016—2017年新区部署实例,应用8类油藏模型,快速评价106个产能建设单元的日产油能力,结果表明,快速评价模型对产能优选具有较好的预判性。通过模型应用,发现在应用前必须注意合理的适用范围,否则存在较大误差;在应用中,油藏平均参数选取必须谨慎,否则也将导致较大的误差。
关键词:  开发指标  油藏类型  新区产能建设项目  主控因素  统计分析
DOI:10.13673/j.cnki.cn37-1359/te.2019.04.011
基金项目:中国石化油田部先导项目“2017年油田开发部署编制”(G5800-16-ZS-YTB010)。
Rapid development indexes evaluation models on different reservoirs of new development blocks,SINOPEC oilfields
ZHAO Qingfei,FAN Zheyuan,ZHENG Xiangke,XU Qinglian,ZHANG Zhonghua
(Petroleum Exploration & Production Research Institute,SINOPEC,Beijing City,100083,China)
Abstract:
In order to rapidly evaluate or select oil productivity development projects,statistical analysis method was applied to thoroughly analyze the productivity development projects of new blocks,SINOPEC in 2007-2015. The main control factors of key reservoir engineering parameters influencing the development plans design were obtained for eight types of reservoirs including common heavy oil reservoirs,thermal recovery heavy oil reservoirs,low-permeability reservoirs,ultralow permeability reservoirs,fault-block reservoirs,complex fault-block reservoirs,fractured-vuggy carbonate reservoirs,and offshore reservoirs. These factors include reservoir type,geological reserves,oil-bearing area,reservoir depth,permeability,and oil viscosity,etc. Statistic models of reservoir parameters in eight types of reservoirs and productivity development indexes of single well were proposed as well. Daily oil production capacity of 106 productivity development units was evaluated rapidly according to the new deployed development blocks in 2016-2017 with 8 reservoir models. The results show that the rapid evaluation model can be used to judge the selection of productivity. The application of the model indicates that the reasonable application range should be known before the application and reservoir parameters should be selected carefully during the application to keep away to produce large errors.
Key words:  development indexes  reservoir types  productivity development projects of new block  main control factors  statistical analysis

用微信扫一扫

用微信扫一扫