期刊文献+

利用地质约束降低天然气概率储量的不确定性 被引量:3

Reduction of probabilistic gas reserves uncertainty by geological constraints
下载PDF
导出
摘要 以YL气田山西组二段主力气层为例,利用储集层展布和物性参数的横向和纵向非均质性等地质条件约束建模,降低气藏建模结果的不确定性,从而降低主力气藏概率储量的不确定性。地质约束条件包括:①主力气藏东南部大片地区几乎没有砂岩;②砂岩集中分布在辫状河道中部和底部,气藏物性参数比例曲线显示孔隙度、渗透率、含气饱和度值呈顶部较小、底部较大的特征。比较没有地质条件约束得到的400个建模实现和利用约束1、约束1+约束2分别得到的100个实现和23个实现,并求取了概率储量P90、P50、P10。所得结果说明,应用地质约束后,山西组二段主力气藏的概率储量不确定性明显降低。 With a major gas reservoir of the second member of Shanxi Formation in the YL gas field as an example,reservoir modeling constrained by geological conditions,including distribution of sand bodies and lateral and vertical heterogeneity,is carried out to reduce uncertainty of results of gas reservoir modeling and uncertainty of probabilistic reserves of the major gas reservoir.The geological constraints include:(1) there is almost no sand body in most of the southeastern part in the study area;(2) owing to sand bodies concentrated in the middle and bottom parts of braided channels,the proportion curves of petrophysical parameters of the gas reservoir show that porosity,permeability,and oil saturation present low values on the top and high values on the bottom of the channels.Comparison with 400 realizations obtained without any geological constraints,100 realizations with constraint No.1,and 23 realizations with constraints No.1 and No.2,and the calculation of the probabilistic reserves P90,P50,and P10 show that owing to the geological constraints,the uncertainty of the probability reserves of the major gas reservoir is reduced significantly.
出处 《石油勘探与开发》 SCIE EI CAS CSCD 北大核心 2011年第6期764-768,共5页 Petroleum Exploration and Development
基金 国家自然科学基金项目"曲流河储层建模的自回避随机游走方法研究"(50874091)
关键词 储集层建模 天然气 地质约束 非均质性 不确定性 概率储量 reservoir modeling gas geological constraint heterogeneity uncertainty probabilistic reserve
  • 相关文献

参考文献18

  • 1Stephen K D, MacBeth C. Reducing reservoir prediction uncertainty using seismic history matching[R]. SPE 100295, 2006.
  • 2E1-Sayed S S, Daoud A M, El-Tayeb A. Development of water saturation error analysis charts for different shaly sand models for uncertainty quantification of volumetric in-place estimate[R]. SPE 116591, 2008.
  • 3Ma Xianlin, A1-Harbi M, Datta-Gupta A, et al. An efficient two-stage sampling method for uncertainty quantification in history matching geological models[R]. SPE 102476-PA, 2008.
  • 4Junker H J, Plas L, Dose T, et al. Modern approach to estimation of uncertainty of predictions with dynamic reservoir simulation: A case study of a German Rotliegend Gas Field[R]. SPE 103340, 2006.
  • 5Rodriguez R, Solano K, Guevara S, et al. Integration of subsurface, surface and economics under uncertainty in Orocual Field[R]. SPE 107259, 2007.
  • 6Collinson R, Gupta R, Smith G C, et al. Scenario analysis tool for probabilistie analysis of reserves[R]. SPE 116378, 2008.
  • 7Elgsaeter S M, Slupphaug O, Johansen T A. Production optimization: System identification and uncertainty estimation[R]. SPE 112186, 2008.
  • 8张明禄,王家华,卢涛.应用储层随机建模方法计算概率储量[J].石油学报,2005,26(1):65-68. 被引量:19
  • 9张宗林,王家华.相控下的天然气概率储量计算研究[J].天然气工业,2005,25(11):27-29. 被引量:3
  • 10Idrobo E A, Jimenez E A, Ospino A A, et al. A new tool to uphold spatial reservoir heterogeneity for upscaled models[R]. SPE 81041, 2003.

二级参考文献54

共引文献133

同被引文献61

引证文献3

二级引证文献28

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