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基于滑脱的页岩气藏压裂水平井渗流模型及产能预测

郭小哲 周长沙

石油钻采工艺Issue(3):61-65,5.
石油钻采工艺Issue(3):61-65,5.DOI:10.13639/j.odpt.2015.03.014

基于滑脱的页岩气藏压裂水平井渗流模型及产能预测

Seepage model and productivity forecast based on slippage of fractured horizontal wells in shale gas pool

郭小哲 1周长沙2

作者信息

  • 1. 中国石油大学 北京 石油工程学院,北京 102249
  • 2. 中石化东北石油局,吉林长春 130062
  • 折叠

摘要

Abstract

The slippage effect in nano-level pores in shale gas reservoirs makes the seepage mechanism even more complex, and that an analytical solution model was built to quantitatively analyze its inlfuence is of practical signiifcance and theoretical values. Based on trilinear seepage theory for fractured horizontal wells in shale gas reservoirs and analyzing the law of slippage effect on permeability and its calculating relations, a mathematical model was built taking into account the slipped seepage, and a solution was made on the model to obtain an equation of fractured horizontal well productivity, which can be used to forecast the well production. The pore threshold affected by slippage effect is deifned based on the increase range of permeability and the value of production increase. The model was used, through example calculations, to analyze the slippage effect on the increase of productivity under different pore diameters, different production pressure differential, and quantitatively evaluate the magnitude of slippage effect. The result shows that the initial productivity may reach 1 500 m3/d, and the production at later stage may also reach 400 m3/d. Therefore, the slippage effect should be taken into consideration in productivity forecast when the pores of shale gas reservoir are small, as to relfect its seepage regularity more scientiifcally and comprehensively.

关键词

页岩气/滑脱/压裂/水平井/产能/渗流

Key words

shale gas/slippage/fracturing/horizontal well/productivity/seepage

分类

能源科技

引用本文复制引用

郭小哲,周长沙..基于滑脱的页岩气藏压裂水平井渗流模型及产能预测[J].石油钻采工艺,2015,(3):61-65,5.

基金项目

中国石油科技创新基金“页岩气储层伤害机理研究”(编号2011D-5006-0207);中国石油大学(北京)科研基金项目“页岩气藏压裂水平井气水两相渗流机理研究”(编号2462015YQ0215)。 ()

石油钻采工艺

OA北大核心CSCDCSTPCD

1000-7393

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