期刊文献+

模式判别技术对FI1油层进行精细储层预测——以松辽盆地北部肇源南扶余油层为例

Mode Determination for FI1 Oil Layer Fine Reservoir Prediction——with Fuyu Oil Layer an Example of the Zhaoyuan Nan in the North of Song-Liao Basin
下载PDF
导出
摘要 近年来采用地震技术来研究储层,虽然提高了岩性预测精度,但由于无法精确描述储层的分布特征及其与油气成藏之间关系,导致针对隐蔽油气藏部署的探井成功率较低。因此,合理高效地处理与解释地球物理信息,来解决储层预测问题是当前储层研究的核心。以肇源南扶余油层为例,通过井震模式判别技术,在井资料较少区域,预测每一地震道地下地质组合;并以四级层序单元为最小单位提取储层厚度,实现了去除强地震反射轴屏蔽影响的,接近单砂体级别的精细储层预测。该方法适用于所有具有稳定的强反射轴屏蔽下的储层横向变化的储层预测。 Although,applying seismic techniques in reservoir study increase the accurate of lithologic prediction in recent years,the research can not precise identify the characters of reservoir distribution and the relationship between reservoir and hydrocarbon accumulation.As a result,the successful ratio of exploration well deployment to subtle oil-gas reservoir is lower than our expectation.Therefore,using geographic information processing and interpretation efficiently and reasonably,then the reservoir prediction is the key point to solve reservoir study problems at present.With Fuyu oil layer of the Zhaoyuan Nan as an example,geologic structural association of average seismic trace are predicted by the means of mode determination reservoir prediction technology in areas less well data.Reservoir thickness of each fourth order sequences is predicted,fine reservoir prediction in single sand body level was realized without influence of strong high energy shield.This method is suit for all sustained strong high energy shield reservoir horizontal changing reservoir prediction.
出处 《科学技术与工程》 2010年第27期6727-6730,共4页 Science Technology and Engineering
关键词 井震模式判别 精细储层预测 肇源南 层序单元 mode determination reservoir prediction fine reservoir prediction zhaoyuannan sequence
  • 相关文献

参考文献5

二级参考文献15

  • 1裘亦楠,北京勘探开发科学研究院论文集,1985年
  • 2匿名著者,1983年
  • 3匿名著者,1982年
  • 4BEHRENS R A. Incorporating seismic attribute maps in 3-D reservoir modeled [J]. SPE, 1996,36499: 1-6.
  • 5DEUTSCH C V. Geostatistical reservoir modeling ac-counting for precision and scale of seismic data[J]. Spe, 1996, 36497. 9-19.
  • 6DOYEN P M. Porosity from seismic data: a geostatistical approach [J]. Geophysics, 1988, 53 (10):1263-1275.
  • 7DOYEN P M. Seismic porosity mapping in the Ekofisk Field using a new form of collocated cokriging[J]. Spe, 1996, 36498:21-30.
  • 8ARAKTINGI U G, BASHORE W M, TRANT T B. Integration of seismic and well log data in reservoir modeling[C]// Reservoir Characterization Ⅲ.Tulsa: Pennwell Publishing, 1993 : 515-554.
  • 9CHAMBERS R L. Geostatistical application for exploration and development: porosity estimation from 3-D seismic data calibrated to well data[J]. Spe,1993,25655:3-6.
  • 10ROLANDO J P. From well data to 3D models: determination of the critical path in the process of characterization of reservoirs[J]. Spe, 1998,49283:1-21.

共引文献259

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