摘要
中江气田沙溪庙组气藏砂岩储层具有岩性多样、储层致密、孔隙结构复杂、非均质性强的地质特征,这使得饱和度、渗透率等参数预测精度低,测井评价易产生偏差,因此需要改进储层参数解释模型,为此类储层的地质建模提供可靠的参数。首先分析了岩性、物性、电性、含气性以及孔隙结构特征关系;然后提出了以流动单元为基础的渗透率计算模型,并根据流动单元指数将中江气田沙溪庙组气藏砂岩储层划分为3个流动单元,在不同单元内建立不同的渗透率计算模型;最后分析Archie公式中胶结指数(m)、饱和度指数值(n)与泥质含量、孔隙结构指数的关系,并在此基础上利用可变m,n计算含水饱和度模型;最终形成了一套适合研究区致密砂岩储层测井评价的方法。所建立的测井解释模型使得渗透率和含水饱和度等参数的计算精度更高,并在生产应用中取得了良好的效果。
The sand body of the Shaximiao formation within Zhongjiang gas field exhibits a diverse lithology,dense reservoir,complex pore structure,and strong heterogeneity.These characteristics lead to low saturation and permeability accuracy predictions.The logging evaluation is also prone to error.In this study,a permeability calculation model based on flow unit is introduced by analyzing the relationships between lithology,physical property,electrical property,gas content,and pore structure.This method divides the gas reservoir of the Shaximiao formation into three flow units based on flow unit index and establishes different permeability calculation models in each unit.The correlation between the cementation(m)and saturation(n)exponent values in Archie's equation and shale content and pore structure index was analyzed.Models for calculating water saturationμsing variables m and n were established.Finally,a logging evaluation method applicable for tight sandstone reservoirs in this area was proposed.This logging interpretation model can provide more accurate permeability and water saturation measurements during production.
作者
刘成川
陈俊
黎华继
王志章
胡华伟
李定军
LIU Chengchuan;CHEN Jun;LI Huaji;WANG Zhizhang;HU Huawei;LI Dingjun(Exploration and Production Research Institute,Sinopec Southwest Oil&Gas Company,Chengdu 610100,China;College of Geosciences China University of Petroleum,Beijing 102200,China)
出处
《石油物探》
EI
CSCD
北大核心
2020年第1期131-140,共10页
Geophysical Prospecting For Petroleum
基金
国家科技重大专项(2016ZX05048-004)资助。
关键词
中江气田
致密砂岩气藏
渗透率模型
流动单元
阿尔奇公式
可变m
n
测井评价
Zhongjiang gas field
tight sandstone gas reservoir
permeability model
flow unit
Archie's formula
variable cementation exponent(m)and saturation exponent(n)
logging evaluation