Lambda函数法计算储层含水饱和度
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摘要
A油田岩石孔隙结构复杂多样,储层物性变化较大,相应压汞毛细管压力曲线亦表现为不同类型形态特征,在进行压汞资料含水饱和度评价时,将其合理分类会取得更好效果。利用Lambda函数构建毛细管压力曲线评价储层含水饱和度时,函数公式各项参数可以反映出毛细管压力曲线变化趋势,其值大小在一定程度上指示了样品品质,可进行样品的分类划分。应用这种新的分类方法将A油田压汞样品划分为2类,对每一类根据Lambda函数公式构建出压汞资料评价储层含水饱和度的模型,利用模型计算密闭取心井储层含水饱和度,计算结果与岩心分析含水饱和度对比,平均绝对误差5.1%。
Rock pore structure is complex and various,reservoir physical property generally changes,so,mercury injection capillary pressure curves show different types of morphological characteristics.When we evaluate water saturation by mercury injection data,good effect is obtained from more reasonable capillary pressure curves classification. When the capillary pressure curves are constructed to evaluation reservoir water saturation by Lambda function,function formula parameters can reflect the trend of capillary pressure curve,its value size indicates some sample quality and divides the samples classification. By using the new classification method,the mercury injection sample can be divided into two types in A oilfield.According to Lambda function formula,we build a model for each data type to evaluate the reservoir oil saturation using mercury injection data.The sealed coring wells reservoir water saturation is calculated by this model.The contrast results of core analysis and water saturation show that average absolute error is 5.1%.
Rock pore structure is complex and various,reservoir physical property generally changes,so,mercury injection capillary pressure curves show different types of morphological characteristics.When we evaluate water saturation by mercury injection data,good effect is obtained from more reasonable capillary pressure curves classification. When the capillary pressure curves are constructed to evaluation reservoir water saturation by Lambda function,function formula parameters can reflect the trend of capillary pressure curve,its value size indicates some sample quality and divides the samples classification. By using the new classification method,the mercury injection sample can be divided into two types in A oilfield.According to Lambda function formula,we build a model for each data type to evaluate the reservoir oil saturation using mercury injection data.The sealed coring wells reservoir water saturation is calculated by this model.The contrast results of core analysis and water saturation show that average absolute error is 5.1%.
引文
[1]Edward A Beaunmont,诺曼H福斯特.油汽圈闭勘探[M].北京:石油工业出版社,2002:193-319.
[2]朱家俊,耿生臣,林会喜,等.也谈压汞资料与含油饱和度的关系[J].大庆石油地质与开发,2003,22(5):34-36.
[3]林景晔,张革,徐喜庆.复杂油藏原始含油饱和度计算方法[J].大庆石油地质与开发,2002,21(3):32-35.
[4]杨小磊.低孔渗储层原始含油饱和度解释方法研究[J].国外测井技术,2010(177):10-12.
[5]李兴丽,张琳琳,邢仁东.利用常规测井物性曲线重构毛细管压力曲线[J].测井技术,2012,36(1):33-36.
[6]李兴丽,吕洪志,张占松,等.拟毛细管压力曲线在水淹层评价中的应用[J].测井技术,2014,38(5):622-626.
[7]李宁,王波,邢艳娟,等.基于毛细管压力曲线储层自动分类及测井评价[J].测井技术,2013,37(6):653-657.
[8]赵毅,施振飞,朱立华,等.构造毛管压力曲线法在A油田储层评价中的应用[J].复杂油气藏,2014,7(1):52-57.
[9]廖明光,付晓文.砂岩储层毛管压力曲线反演模型[J].西南石油学院学报,2000,22(4):5-8.
[10]刘晓鹏,肖亮,张伟.储层毛管压力曲线构造方法及其应用[J].西南石油大学学报:自然科学版,2008,30(6):126-130.
[11]肖亮,梁晓东,林雨静.储层原始含油饱和度评价新方法研究[J].石油地质与工程,2007,21(6):53-55.
[12]Shripad Biniwale,等.用水力单元模拟澳大利亚海上油田地质沉积特性和流体饱和度的改进方法[C]∥测井分析家协会第46届论文集,2007.
[13]文政,赖强,魏国章,等.应用密闭取心分析资料求取饱和度参数[J].大庆石油学院学报,2006,30(6):17-19.
[14]李郑辰,钟淑敏,杨永军.朝长地区扶余油层储层分类与产能预测[J].地球物理学进展,2013,28(5):2561-2568.
[2]朱家俊,耿生臣,林会喜,等.也谈压汞资料与含油饱和度的关系[J].大庆石油地质与开发,2003,22(5):34-36.
[3]林景晔,张革,徐喜庆.复杂油藏原始含油饱和度计算方法[J].大庆石油地质与开发,2002,21(3):32-35.
[4]杨小磊.低孔渗储层原始含油饱和度解释方法研究[J].国外测井技术,2010(177):10-12.
[5]李兴丽,张琳琳,邢仁东.利用常规测井物性曲线重构毛细管压力曲线[J].测井技术,2012,36(1):33-36.
[6]李兴丽,吕洪志,张占松,等.拟毛细管压力曲线在水淹层评价中的应用[J].测井技术,2014,38(5):622-626.
[7]李宁,王波,邢艳娟,等.基于毛细管压力曲线储层自动分类及测井评价[J].测井技术,2013,37(6):653-657.
[8]赵毅,施振飞,朱立华,等.构造毛管压力曲线法在A油田储层评价中的应用[J].复杂油气藏,2014,7(1):52-57.
[9]廖明光,付晓文.砂岩储层毛管压力曲线反演模型[J].西南石油学院学报,2000,22(4):5-8.
[10]刘晓鹏,肖亮,张伟.储层毛管压力曲线构造方法及其应用[J].西南石油大学学报:自然科学版,2008,30(6):126-130.
[11]肖亮,梁晓东,林雨静.储层原始含油饱和度评价新方法研究[J].石油地质与工程,2007,21(6):53-55.
[12]Shripad Biniwale,等.用水力单元模拟澳大利亚海上油田地质沉积特性和流体饱和度的改进方法[C]∥测井分析家协会第46届论文集,2007.
[13]文政,赖强,魏国章,等.应用密闭取心分析资料求取饱和度参数[J].大庆石油学院学报,2006,30(6):17-19.
[14]李郑辰,钟淑敏,杨永军.朝长地区扶余油层储层分类与产能预测[J].地球物理学进展,2013,28(5):2561-2568.