利用常规测井技术探究预测储层毛管压力曲线
|
摘要
通过岩心实验获取的毛管压力曲线是表征储层孔隙结构、估算渗透率和划分储层类型的重要依据,其可通过压汞法获得。受岩心取心数量及实验环境的限制,压汞毛管压力曲线的获取存在困难,使得储层的连续评价无法进行。以我国某盆地为研究对象,选取21块岩心,探索压汞实验的过程,分析相应毛管压力曲线的形态特征,建立一种利用孔隙度参数构造毛管压力曲线的模型。进一步,基于与渗透率密切相关的Swanson参数和R35参数,建立相应的渗透率评价模型。将岩心实验结果与基于渗透率评价模型的处理结果进行对比,验证了模型的可靠性。将渗透率评价模型应用于该盆地某井韩江组实际储层,连续构造出储层毛管压力曲线,计算出相应的渗透率,定量评价储层孔隙结构,最终划分出优质储层。储层划分结果得到了DST测试资料的验证。
Capillary pressure curves are important references in characterizing pore structure,predicting permeability and classifying reservoirs,which can be obtained using mercury injection method.Due to the limitations including core data amount and experimental environment,there are difficulties in obtaining the mercury injection capillary pressure curve,which makes the continuous evaluation of reservoir difficult to be proceeded.By taking a basin in China as the research object,21 core samples are selected to explore the procedure of mercury injection experiment for the analysis on the morphological characteristics of corresponding capillary pressure curves,so that a model of establishing the capillary pressure curve using porosity parameters is formed.Further,Swanson and R35,which are parameters closely related to permeability,are used to establish permeability evaluation models.The core experimental results are compared with the processing results based on the above models,and the reliability of the models is verified.Models are applied into the actual reservoir of Hanjiang Formation in a borehole of the basin.The capillary pressure curves of the reservoir are constructed continuously,the corresponding permeabilities are calculated,the pore structure of reservoir is evaluated quantitatively,and the reservoirs with high quality are finally identified.The reservoir identification results are verified by the DST test data.
Capillary pressure curves are important references in characterizing pore structure,predicting permeability and classifying reservoirs,which can be obtained using mercury injection method.Due to the limitations including core data amount and experimental environment,there are difficulties in obtaining the mercury injection capillary pressure curve,which makes the continuous evaluation of reservoir difficult to be proceeded.By taking a basin in China as the research object,21 core samples are selected to explore the procedure of mercury injection experiment for the analysis on the morphological characteristics of corresponding capillary pressure curves,so that a model of establishing the capillary pressure curve using porosity parameters is formed.Further,Swanson and R35,which are parameters closely related to permeability,are used to establish permeability evaluation models.The core experimental results are compared with the processing results based on the above models,and the reliability of the models is verified.Models are applied into the actual reservoir of Hanjiang Formation in a borehole of the basin.The capillary pressure curves of the reservoir are constructed continuously,the corresponding permeabilities are calculated,the pore structure of reservoir is evaluated quantitatively,and the reservoirs with high quality are finally identified.The reservoir identification results are verified by the DST test data.
引文
[1]吕鸣岗,毕海滨.用毛管压力曲线确定原始含油饱和度[J].石油勘探与开发,1996,23(5):63-66.
[2]章成广,秦瑞宝.用毛管压力曲线解释原始含水饱和度[J].江汉石油学院学报,1999,21(4):8-11.
[3]原海涵.毛管理论在测井解释中的应用[M].北京:石油工业出版社,1995:1-80.
[4]王允诚,杨宝星,黄仰洲.砂岩储层的分类和评价[J].石油实验地质,1981,3(4):293-298.
[5]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.
[6]廖明光,谈德辉,李仕伦.储层岩石基于物性参数的孔喉体积分布反演模型[J].矿物岩石,2000,20(4):57-62.
[7]钟大康.储层毛管压力曲线的拟合及地质应用[J].沉积学报,1997,15(3):162-165.
[8]Volokitin Y,Looyestijn W J.A practical approach to obtain primary drainage capillary pressure curves from NMR core and log data[J].Petrophysics,2001,42(4):334-343.
[9]Xiao L,Mao Z Q,Wang Z N,et al.Application of NMR logs in tight gas reservoirs for formation evaluation:A case study of Sichuan basin in China[J].Journal of Petroleum Science and Engineering,2012(81):182-195.
[10]刘堂宴,王绍民,傅容珊,等.核磁共振谱的岩石孔喉结构分析[J].石油地球物理勘探,2003,38(3):328-333.
[11]肖忠祥,张冲,肖亮.利用孔、渗参数构造毛管压力曲线[J].新疆石油地质,2008,29(5):35-37.
[12]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.
[13]Xiao L,Liu D,Wang H,et al.The applicability analysis of models for permeability prediction using mercury injection capillary pressure(MICP)data[J].Journal of Petroleum Science and Engineering,2017,156:589-593.
[14]Xiao L,Liu X P,Zou C C,et al.Comparative study of models for predicting permeability from nuclear magnetic resonance(NMR)logs in two Chinese tight sandstone reservoirs[J].Acta Geophysica,2014,62(1):116-141.
[15]Swanson B F.A simple correlation between permeabilities and mercury capillary pressure[J].Journal of Petroleum Technology,1981,6(2):2498-2503.
[16]Thomeer J H M.Introduction of a pore geometrical factor defined by the capillary pressure curve[J].Trans AIME,1960,52(3):354-358.
[17]肖忠祥,肖亮.基于核磁共振测井和毛管压力的储层渗透率计算方法[J].原子能科学技术,2008,42(10):868-871.
[18]肖忠祥,肖亮,张伟.利用毛管压力曲线计算砂岩渗透率的新方法[J].石油物探,2008,47(2):204-207.
[19]肖亮,刘晓鹏,毛志强.结合NMR和毛管压力资料计算储层渗透率的方法[J].石油学报,2009,30(1):100-103.
[20]Guo B Y,Ghalambor A,Duan S K.Correlation between sandstone permeability and capillary pressure curves[J].Journal of Petroleum Science and Engineering,2004,43(2):239-246.
[2]章成广,秦瑞宝.用毛管压力曲线解释原始含水饱和度[J].江汉石油学院学报,1999,21(4):8-11.
[3]原海涵.毛管理论在测井解释中的应用[M].北京:石油工业出版社,1995:1-80.
[4]王允诚,杨宝星,黄仰洲.砂岩储层的分类和评价[J].石油实验地质,1981,3(4):293-298.
[5]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.
[6]廖明光,谈德辉,李仕伦.储层岩石基于物性参数的孔喉体积分布反演模型[J].矿物岩石,2000,20(4):57-62.
[7]钟大康.储层毛管压力曲线的拟合及地质应用[J].沉积学报,1997,15(3):162-165.
[8]Volokitin Y,Looyestijn W J.A practical approach to obtain primary drainage capillary pressure curves from NMR core and log data[J].Petrophysics,2001,42(4):334-343.
[9]Xiao L,Mao Z Q,Wang Z N,et al.Application of NMR logs in tight gas reservoirs for formation evaluation:A case study of Sichuan basin in China[J].Journal of Petroleum Science and Engineering,2012(81):182-195.
[10]刘堂宴,王绍民,傅容珊,等.核磁共振谱的岩石孔喉结构分析[J].石油地球物理勘探,2003,38(3):328-333.
[11]肖忠祥,张冲,肖亮.利用孔、渗参数构造毛管压力曲线[J].新疆石油地质,2008,29(5):35-37.
[12]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.
[13]Xiao L,Liu D,Wang H,et al.The applicability analysis of models for permeability prediction using mercury injection capillary pressure(MICP)data[J].Journal of Petroleum Science and Engineering,2017,156:589-593.
[14]Xiao L,Liu X P,Zou C C,et al.Comparative study of models for predicting permeability from nuclear magnetic resonance(NMR)logs in two Chinese tight sandstone reservoirs[J].Acta Geophysica,2014,62(1):116-141.
[15]Swanson B F.A simple correlation between permeabilities and mercury capillary pressure[J].Journal of Petroleum Technology,1981,6(2):2498-2503.
[16]Thomeer J H M.Introduction of a pore geometrical factor defined by the capillary pressure curve[J].Trans AIME,1960,52(3):354-358.
[17]肖忠祥,肖亮.基于核磁共振测井和毛管压力的储层渗透率计算方法[J].原子能科学技术,2008,42(10):868-871.
[18]肖忠祥,肖亮,张伟.利用毛管压力曲线计算砂岩渗透率的新方法[J].石油物探,2008,47(2):204-207.
[19]肖亮,刘晓鹏,毛志强.结合NMR和毛管压力资料计算储层渗透率的方法[J].石油学报,2009,30(1):100-103.
[20]Guo B Y,Ghalambor A,Duan S K.Correlation between sandstone permeability and capillary pressure curves[J].Journal of Petroleum Science and Engineering,2004,43(2):239-246.