致密气储层参数精细建模的测井分析方法
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摘要
针对致密气储层受多期沉积、成岩作用及构造等因素影响,储层孔隙空间细小、孔隙类型结构和测井响应复杂,储层具有非均质、非线性分布的特点。利用岩石物理相分类研究致密气储层参数,确定评价储层岩石物理相的多种信息、划分方法和分类储层参数建模及评价解释方法。通过研究区致密气储层各类测井、岩心和试气资料,利用岩石物理相分类后建立储层参数模型中,其数据点的均匀程度及其反映出的线性关系都具有相对集中的趋势。特别是分类模型分别利用密度、声波时差孔隙度参数的综合拟合值求取孔隙度;渗透率则采用多种分类测井响应曲线求取,并利用Hodges-Lehmann法综合评估确定。从而,在一定程度上克服了致密气储层低信噪比、低分辨力的评价特征,为准确计算致密气储层参数提供了有效方法。
As tight gas reservoirs are influenced by multi-period sedimentary, diagenesis and structure, they have small pore space, complex pore structure and logging response. The reservoirs are characterized by heterogeneity and nonlinearity distribution. So petrophysical facies classification can be used in the modeling of tight gas reservoir parameters in order to determine various information, dividing method, classified modeling of parameters and interpretation and evaluation method. The interpretation models of different types of reservoir parameters which are corresponding to reservoir petrophysical facies can be established by the use of logging, core and test data in the tight gas reservoir. The distribution fitting of data points has relatively concentrated distribution trend and a good linear relationship. The classified models which can calculate the effective porosity parameters, using the comprehensive fitted value of density and acoustic porosity models, and permeability by using a variety of classification log response curve. Hodges-Lehmann method can be used to assess permeability. It overcomes the disadvantages of low signal to noise ratio and low resolution which exist in the tight gas reservoir and provides an effective method to accurately calculate reservoir parameters of tight gas reservoirs.
As tight gas reservoirs are influenced by multi-period sedimentary, diagenesis and structure, they have small pore space, complex pore structure and logging response. The reservoirs are characterized by heterogeneity and nonlinearity distribution. So petrophysical facies classification can be used in the modeling of tight gas reservoir parameters in order to determine various information, dividing method, classified modeling of parameters and interpretation and evaluation method. The interpretation models of different types of reservoir parameters which are corresponding to reservoir petrophysical facies can be established by the use of logging, core and test data in the tight gas reservoir. The distribution fitting of data points has relatively concentrated distribution trend and a good linear relationship. The classified models which can calculate the effective porosity parameters, using the comprehensive fitted value of density and acoustic porosity models, and permeability by using a variety of classification log response curve. Hodges-Lehmann method can be used to assess permeability. It overcomes the disadvantages of low signal to noise ratio and low resolution which exist in the tight gas reservoir and provides an effective method to accurately calculate reservoir parameters of tight gas reservoirs.
引文
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[15]宋子齐,测井多参数的地质应用[M],西安:西北工业大学出版社,1993:110-140.
[16]孙宝佃、宋子齐、成志刚等,特低渗透储层测井系列优化评价研究[J],石油地球物理勘探,2012,47(3):483-490.
[2]文华国、郑荣才、高红灿等,苏里格气田苏6井区下石盒子组盒8段沉积相特征[J],沉积学报,2007,25(1):90-98.
[3]宋子齐、王桂成、赵宏宇等,利用单渗砂层能量厚度研究有利沉积微相及其含油有利区的方法[J],沉积学报,2008.
[4]成志刚、宋子齐、景成等,苏里格东区致密气储层成岩储集相分类及特征[J],断块油气田,2012,19(5):577-582.
[5]杨勇、达世攀、徐晓蓉等,苏里格气田盒8段储层孔隙结构研究[J],天然气工业,2005,25(4):50-52.
[6]王瑞飞、沈平平、宋子齐等,特低渗透砂岩油藏储层微观孔喉特征[J],石油学报,2009,30(4):560-563.
[7]熊琦华、彭仕宓、黄述旺等,岩石物理相研究方法初探——以辽河冷冻-雷家地区为例[J],石油学报,1994,15(增刊).
[8]姚光庆、赵彦超、张森龙,新民油田低渗细粒储集砂岩岩石物理相研究[J],地球科学,1995,20(3):355-360.
[9]宋子齐、王瑞飞、庞玉东等,基于岩石物理相分类评价划分致密气藏气层厚度[J],低渗透油气田,2013,18(1-2).
[10]宋子齐、王瑞飞、孙颖等,基于成岩储集相定量分类模式确定特低渗透相对优质储层[J].沉积学报,2011,29(1).
[11]宋子齐、程国建、杨立雷等,利用测井资料精细评价特低渗透储层的方法[J],石油实验地质,2006,28(6):595-599.
[12]宋子齐、王浩、赵磊等,灰色系统储盖组合精细评价的分析方法[J],石油学报,2002,23(4):35-41.
[13]宋子齐,灰色理论油气储层评价[M],北京:石油工业出版社,1995:17-77.
[14]宋子齐、成志刚、孙迪等,利用岩石物理相流动单元“甜点”筛选致密储层含气有利区[J],天然气工业,2013,33.
[15]宋子齐,测井多参数的地质应用[M],西安:西北工业大学出版社,1993:110-140.
[16]孙宝佃、宋子齐、成志刚等,特低渗透储层测井系列优化评价研究[J],石油地球物理勘探,2012,47(3):483-490.