X地区基于储层分类的渗透率计算方法研究
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摘要
渗透率是一个表征流体在岩石内部流动难易程度的岩石物理参数,从勘探阶段的储层评价,一直到后期的油田开发都离不开渗透率的准确评价。X地区孔渗关系复杂,在相同孔隙度的情况下,渗透率变化范围大,造成测井的定性识别难度大,同时单一的孔渗模型不能满足本地区复杂储层渗透率的精度要求,所以识别储层类型非常重要。依靠流动单元指数将储层划分为两类,基于储层类型分别建立渗透率模型,并找到了两种识别储层类型的方法:GR-DEN图版法和POR-FFV图版法,依据储层类型自动识别完成渗透率的精细计算。对研究区块的实际资料应用,与岩心渗透率对比,两种方法计算渗透率精度都高于单一孔渗模型计算渗透率,对X地区渗透率的准确评价有重要的应用价值。
Permeability is a petrophysical parameter which indicates the difficulty of fluid flowing in rock. The accurate evaluation of permeability is indispensable from reservoir evaluation in exploration stage to oil field development in later stage. The relationship between porosity and permeability is complex in an area. Under the condition of the same porosity, the range of permeability variation is large, which makes the qualitative identification of logging difficult. In this study, the reservoirs are divided into two types by flow unit index. Permeability models are established based on reservoir types, and two methods for identifying reservoir types are found: GR-DEN and POR-FFV. The fine calculation of permeability is completed by automatic identification of reservoir types. Compared with the core permeability, the two methods have higher accuracy in calculating permeability than that of the single porosity and permeability model, which has important application value for the accurate evaluation of permeability in an area.
Permeability is a petrophysical parameter which indicates the difficulty of fluid flowing in rock. The accurate evaluation of permeability is indispensable from reservoir evaluation in exploration stage to oil field development in later stage. The relationship between porosity and permeability is complex in an area. Under the condition of the same porosity, the range of permeability variation is large, which makes the qualitative identification of logging difficult. In this study, the reservoirs are divided into two types by flow unit index. Permeability models are established based on reservoir types, and two methods for identifying reservoir types are found: GR-DEN and POR-FFV. The fine calculation of permeability is completed by automatic identification of reservoir types. Compared with the core permeability, the two methods have higher accuracy in calculating permeability than that of the single porosity and permeability model, which has important application value for the accurate evaluation of permeability in an area.
引文
[1] 刘芬霞,程启荣,原海涵,等.低孔低渗储层测井解释方法研究——以陕甘宁盆地中部气田上古生界求孔隙度、渗透率为例[J].高校地质学报,1996(1):65-74.
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[3] 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.
[4] 焦翠华,徐朝晖.基于流动单元指数的渗透率预测方法[J].测井技术,2006,30(4):317-319.
[5] 李楚吟,陈维华,付崖梅,等.利用流动单元指数进行储层分类评价[J].中外能源,2012,17(10):40-43.
[2] 孙建孟,闫国亮.渗透率模型研究进展[J].测井技术,2012,36(4):329-335.
[3] 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.
[4] 焦翠华,徐朝晖.基于流动单元指数的渗透率预测方法[J].测井技术,2006,30(4):317-319.
[5] 李楚吟,陈维华,付崖梅,等.利用流动单元指数进行储层分类评价[J].中外能源,2012,17(10):40-43.