...
首页> 外文期刊>The APPEA Journal >THE CHINGUETTI DEEPWATER TURBIDITE FIELD, MAURITANIA: RESERVE ESTIMATION AND FIELD DEVELOPMENT USING UNCERTAINTY MANAGEMENT AND EXPERIMENTAL DESIGNS FOR MULTIPLE SCENARIO 3D MODELS
【24h】

THE CHINGUETTI DEEPWATER TURBIDITE FIELD, MAURITANIA: RESERVE ESTIMATION AND FIELD DEVELOPMENT USING UNCERTAINTY MANAGEMENT AND EXPERIMENTAL DESIGNS FOR MULTIPLE SCENARIO 3D MODELS

机译:毛里塔尼亚Chinguetti深水湍流场:使用不确定性管理和多种场景3D模型的实验设计进行储量估算和田间开发

获取原文
获取原文并翻译 | 示例
           

摘要

The Chinguetti Field was discovered in 2001 offshore Mauritania in 800 m of water. It comprises deepwater, mid-slope turbidite reservoirs, trapped in a dome over a salt diapir. The hydrocarbons are compartmentalised by concentric radial faults, in a low net:gross sequence, with oil mainly in channel sands. The large number of uncertain variables requires a structured approach and a rigorous assessment of the potential sub-surface scenarios. The field is of moderate size and risks in this deepwater environment need to be managed carefully. The main sub-surface uncertainties were identified by uncertainty framing and are briefly described in the paper. They include: 1. structure; 2. hydrocarbon contacts; 3. fault seal; 4. distribution of the channel systems; 5. frequency and amalgamation of channel sands; 6. shale drape; 7. internal channel heterogeneity; 8. effective pressure support; 9. rock-fluid interaction; 10. rock compaction; 11. fluid composition/properties; and 12. rock properties. A statistical experimental design determined 27 scenarios should accurately model the probability distribution of reserves. A 3D model was made for each and run through the dynamic simulator to estimate economic ultimate recovery (EUR). Multivariate statistical analysis produced a response equation for EUR and the probability distribution. This is more rigorous than the standard method which produces mid, high and low case models, for which there is no adequate way to assign their probability of occurrence. The range of scenarios and response equation are extremely useful in testing development options that would otherwise not be apparent. The technique rapidly captures the range of likely outcomes and immediately focusses effort onto a flexible approach to the main uncertainties. This saves considerable re-work and development time.
机译:Chinguetti油田于2001年在毛里塔尼亚近海的800 m水中发现。它包括深水,中坡浊积水库,被困在盐底辟之上的穹顶中。碳氢化合物被同心的径向断层分隔开,以低净值:总值的顺序排列,石油主要分布在河道砂中。大量不确定变量需要结构化的方法和对潜在的地下情况的严格评估。该油田规模适中,在这种深水环境中的风险需要谨慎管理。主要的地下不确定性通过不确定性框架确定,并在本文中进行了简要描述。它们包括:1.结构; 2.碳氢化合物接触; 3.故障密封; 4.渠道系统的分布; (五)河床沙的频次与合并; 6.页岩悬垂性; 7.内部渠道异质性; 8.有效的压力支持; 9.岩石与流体的相互作用; 10.岩石压实; 11.流体成分/性质; 12.岩石特性。统计实验设计确定了27个方案,应该准确地模拟储量的概率分布。每个模型都制作了一个3D模型,并通过动态模拟器运行以估算最终经济收益(EUR)。多元统计分析得出了欧元和概率分布的响应方程。这比产生中,高,低案例模型的标准方法更为严格,因为标准方法没有足够的方法来指定它们的出现概率。场景和响应方程的范围对于测试开发选项非常有用,否则这些开发选项将是不明显的。该技术可快速捕获可能结果的范围,并立即将精力集中在针对主要不确定因素的灵活方法上。这样可以节省大量的返工和开发时间。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号