基于储层物性参数的毛管压力曲线和孔喉分布表征  

Characterization of capillary pressure curve and pore throat distribution based on reservoir physical parameters

作　　者：王大为 李金宜 刘东 郑文乾 吉诗娴 WANG Dawei;LI Jinyi;LIU Dong;ZHENG Wenqian;JI Shixian(Bohai Petroleum Research Institute,Tianjin Branch of CNOOC(China)Co.,Ltd.,Tianjin 300452,China)

机构地区：[1]中海石油(中国)有限公司天津分公司渤海石油研究院,天津300452

出　　处：《非常规油气》2024年第4期1-9,共9页Unconventional Oil & Gas

基　　金：中国海洋石油有限公司“十四五”重大科技项目“海上稠油热采前沿技术探索”(KJGG20220604)。

摘　　要：为了开展毛管压力曲线和储层孔喉分布表征研究,通过对渤海油田压汞实验资料进行分析,对已有毛管压力曲线进行线性插值、分段拟合及多元回归方法建立了预测模型,并对模型的合理性进行了验证。结果表明,储层孔隙度和渗透率与毛管压力和孔喉分布具有较强的相关性;对汞饱和度为5%~90%的毛管压力曲线进行拟合,显示进汞饱和度为10%时拟合相关性最好,拟合精度随着进汞饱和度的增大而逐渐降低,表明进汞饱和度较大时对应的细小孔喉与孔隙度和渗透率的相关性减弱,不是影响的主控因素;对模型合理性进行检验,最大进汞饱和度拟合平均误差为5.1%,样本毛管压力曲线的主要部分及孔喉分布预测值与实验值较为吻合。建立的预测模型能够较准确地表征区域内储层毛管压力曲线和孔喉分布,研究结果具有统计学意义,可为储层研究提供技术支持。In order to investigate the characteristics of capillary pressure curve and reservoir pore throat distribution,studied the mercury injection experimental data of Bohai Oilfield.The prediction model was established by linear interpolation,piecewise fitting and multiple regression methods for the existing capillary pressure curve,and the rationality of the model was verified.The results indicate that there is a strong correlation between reservoir porosity and permeability,capillary pressure,and pore throat distribution;Fitting the capillary pressure curve in the range of 5%to 90%mercury saturation shows that the fitting correlation is best when the mercury saturation is 10%.The fitting accuracy gradually decreases with the increase of mercury saturation,indicating that the correlation between small pore throats and porosity and permeability decreases when the mercury saturation is high,and is not the main controlling factor affecting it;The rationality of the model was tested,and the average fitting error of the maximum mercury saturation was 5.1%.The predicted values of the main part of the sample capillary pressure curve and pore throat distribution were in good agreement with the experimental values.The established prediction model can accurately characterize the capillary pressure curve and pore throat distribution of reservoirs in the region,and the research results have statistical significance,providing technical support for reservoir research.

关 键 词：压汞实验 毛管压力 孔喉分布 孔喉半径 孔隙度 渗透率 麻皮效应 汞饱和度 

分 类 号：TE311[石油与天然气工程—油气田开发工程]