基于储层分类计算东海低渗致密储层渗透率
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摘要
东海低渗致密储层的岩性及孔隙结构复杂,物性非均质性强,采用传统的岩心孔渗回归方法会导致渗透率计算误差较大。为解决这一问题,在研究低渗致密储层渗透率控制因素的基础上,发现流动单元指数FZI能较好地划分储层类型,基于FZI理论利用累积频率划分方法将研究区储层划分为4类,建立各类储层精细模型;通过对FZI反映灵敏的常规测井曲线特征进行分析,优选出深浅电阻率的比值、自然伽马与密度比值和纵波时差,建立FZI的多参数拟合方程,并将其应用到非取心段的渗透率评价中。应用结果表明,计算渗透率与岩心分析数据吻合较好,且在孔隙结构复杂取心段仍有较好应用效果,为低渗致密储层的精细评价提供了理论依据。
Because of the complex lithology and pore structure and the strong heterogeneity of physical properties in the low permeability tight reservoir in the East China Sea, the calculation error of permeability is very large by using traditional calculation method. In order to solve this problem, the controlling factors of permeability in low permeability and tight reservoir are studied, and the flow unit index FZI is determined as the key parameter of reservoir classification. Then based on FZI theory of flow zone indicator, reservoirs in the studied area are divided into four types by using cumulative frequency division method, and fine permeability models of four reservoirs are established. Finally, by analyzing the characteristics of FZI sensitive conventional logging curve, the ratio of deep and shallow resistivity, the ratio of gamma and density, and P-wave slowness-time are selected to establish the FZI multi-parameter fitting equation, which is applied to permeability evaluation of non-core section. The application result shows that the calculated permeability agrees well with the core analysis data, and it still has good application effect in the coring interval of complex pore structure, which provides a strong theoretical basis for fine reservoir evaluation in the study area.
Because of the complex lithology and pore structure and the strong heterogeneity of physical properties in the low permeability tight reservoir in the East China Sea, the calculation error of permeability is very large by using traditional calculation method. In order to solve this problem, the controlling factors of permeability in low permeability and tight reservoir are studied, and the flow unit index FZI is determined as the key parameter of reservoir classification. Then based on FZI theory of flow zone indicator, reservoirs in the studied area are divided into four types by using cumulative frequency division method, and fine permeability models of four reservoirs are established. Finally, by analyzing the characteristics of FZI sensitive conventional logging curve, the ratio of deep and shallow resistivity, the ratio of gamma and density, and P-wave slowness-time are selected to establish the FZI multi-parameter fitting equation, which is applied to permeability evaluation of non-core section. The application result shows that the calculated permeability agrees well with the core analysis data, and it still has good application effect in the coring interval of complex pore structure, which provides a strong theoretical basis for fine reservoir evaluation in the study area.
引文
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[2]郝丽萍,邵维志,刘俊东,等.沧东凹陷斜坡区孔二段低孔低渗储层特征分析研究[J].国外测井技术,2017,38(3):12-15.
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[11]赵军,范家宝,代新云,等.复杂非均质储层渗透率模型的分类评价方法[J].天然气地球科学,2017,28(2):183-188.
[12]宋宁,刘振,张剑风,等.基于流动单元分类的非均质砂岩储集层渗透率预测[J].科技导报,2013,31(2):68-71.
[13]郭永贵.特低渗储层孔喉结构与剩余油分布关系[J].断块油气田,2017,24(2):218-221.
[14]徐新丽.东风港油田特低渗透油藏微观孔隙结构及渗流特征试验研究[J].石油钻探技术,2017,45(2):96-100.
[15]陈昱林,曾焱,吴亚军,等.川西雷口坡组气藏储层类型及孔隙结构特征[J].断块油气田,2018,25(3):284-289.
[16]张恒荣,何胜林,吴进波,等.一种基于Kozeny-Carmen方程改进的渗透率预测新方法[J].吉林大学学报(地球科学版),2017,47(3):899-906.
[2]郝丽萍,邵维志,刘俊东,等.沧东凹陷斜坡区孔二段低孔低渗储层特征分析研究[J].国外测井技术,2017,38(3):12-15.
[3]张龙海,周灿灿,刘国强,等.孔隙结构对低孔低渗储集层电性及测井解释评价的影响[J].石油勘探与开发,2006,33(6):671-676.
[4]何胜林,张海荣,马文宏,等.常规测井评价复杂砂岩储层孔隙结构的方法与应用:以莺歌海盆地黄流组储层为例[J].地球物理学进展,2017,32(6):2642-2649.
[5]王学武,王厉强,时凤霞.基于高压压汞的致密储层微观孔隙结构特征研究:以鄂尔多斯盆地长6储层为例[J].中国石油大学胜利学院学报,2018,32(2):18-20.
[6]景成,宋子齐,蒲春生,等.基于岩石物理相分类确定致密气储层渗透率:以苏里格东区致密气储层渗透率研究为例[J].地球物理学进展,2013,28(6):3222-3230.
[7]李洪娟,覃豪,杨学峰.基于岩石物理相的酸性火山岩储层渗透率计算方法[J].大庆石油学院学报,2011,35(4):38-42.
[8]徐维胜,赵培荣,聂鹏飞,等.石灰岩、白云岩储层孔隙度-渗透率关系研究[J].石油与天然气地质,2008,29(6):806-811.
[9]陈志强,吴思源,白蓉,等.基于流动单元的致密砂岩气储层渗透率测井评价:以川中广安地区须家河组为例[J].岩性油气藏,2017,29(6):76-83.
[10]范宜仁,葛新民,汪海龙,等.非均质性砂砾岩储层渗透率预测方法研究[J].西南石油大学学报(自然科学版),2010,32(3):6-10.
[11]赵军,范家宝,代新云,等.复杂非均质储层渗透率模型的分类评价方法[J].天然气地球科学,2017,28(2):183-188.
[12]宋宁,刘振,张剑风,等.基于流动单元分类的非均质砂岩储集层渗透率预测[J].科技导报,2013,31(2):68-71.
[13]郭永贵.特低渗储层孔喉结构与剩余油分布关系[J].断块油气田,2017,24(2):218-221.
[14]徐新丽.东风港油田特低渗透油藏微观孔隙结构及渗流特征试验研究[J].石油钻探技术,2017,45(2):96-100.
[15]陈昱林,曾焱,吴亚军,等.川西雷口坡组气藏储层类型及孔隙结构特征[J].断块油气田,2018,25(3):284-289.
[16]张恒荣,何胜林,吴进波,等.一种基于Kozeny-Carmen方程改进的渗透率预测新方法[J].吉林大学学报(地球科学版),2017,47(3):899-906.