加拿大西加盆地页岩气储层测井评价研究
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摘要
相比于常规储层,页岩气储层具有低孔低渗且含气性复杂的特点,为页岩气储层的测井评价增加了难度。为了系统性的研究页岩气储层的测井评价方法,以加拿大西加盆地页岩气储层为研究对象,针对页岩气储层特点,同时考虑到页岩气开发的实际需要,确定页岩气储层系统性的测井评价模型包括储层物性参数模型、地球化学模型、含气性模型和骨架矿物组分模型等。根据体积模型与数值回归分析分别建立基于测井资料的页岩气储层评价模型,确定研究区的页岩气储层测井评价体系。通过评价结果与实测结果的对比来检验模型的实用性与准确性。应用效果表明:页岩气测井评价模型具有良好的准确性,能够为页岩气开发提供良好的支持。
Shale gas reservoir is characterized by low porosity,low permeability and complex gas,while compared with conventional gas reservoirs,which adds difficulty to the logging evaluation of shale gas reservoir.In order to study the systematic logging evaluation method of shale gas reservoir,shale gas reservoir in the west Canadian basin is selected as the study object,four aspects logging evaluation parameters of the shale gas reservoir are determined by taking into account the actual development of shale gas and particularity of shale gas reservoirs.Logging evaluation model of geophysical reservoir parameters,geochemical,gas-bearing and matrix mineral component are established on the base of the theoretical Volume model and numerical regression analysis,finally establish the evaluation system of shale gas reservoir in the west Canadian sediment basin.By the analysis and comparison of the results from the laboratory and logging evaluation model,the accuracy and practicability of the evaluation model for shale gas reservoir parameters are verified.The practical application results show that the reservoir logging evaluation model based on the logging data has good accuracy,which can provide good support for the development of shale gas.
Shale gas reservoir is characterized by low porosity,low permeability and complex gas,while compared with conventional gas reservoirs,which adds difficulty to the logging evaluation of shale gas reservoir.In order to study the systematic logging evaluation method of shale gas reservoir,shale gas reservoir in the west Canadian basin is selected as the study object,four aspects logging evaluation parameters of the shale gas reservoir are determined by taking into account the actual development of shale gas and particularity of shale gas reservoirs.Logging evaluation model of geophysical reservoir parameters,geochemical,gas-bearing and matrix mineral component are established on the base of the theoretical Volume model and numerical regression analysis,finally establish the evaluation system of shale gas reservoir in the west Canadian sediment basin.By the analysis and comparison of the results from the laboratory and logging evaluation model,the accuracy and practicability of the evaluation model for shale gas reservoir parameters are verified.The practical application results show that the reservoir logging evaluation model based on the logging data has good accuracy,which can provide good support for the development of shale gas.
引文
[1]Tang Xianglu,Jiang Zhenxue,Jiang Shu,et al.Characteristics and origin of in-situ gas desorption of the Cambrian Shuijingtuo Formation shale gas reservoir in the Sichuan Basin,China[J].Fuel,2017,187:285-295.
[2]张东晓,杨婷云.页岩气开发综述[J].石油学报,2013,34(4):792-801.
[3]马林.页岩储层关键参数测井评价方法研究[J].油气藏评价与开发,2013,3(6):66-71.
[4]刘红岐,彭仕宓,唐洪,等.苏里格庙气田气层识别方法研究[J].西南石油学院学报,2005,27(1):8-11,93.
[5]赵谦平,王博涛,姜磊,等.页岩气多场耦合渗透率计算模型[J].特种油气藏,2017,24(2):1-8.
[6]钟太贤.中国南方海相页岩孔隙结构特征[J].天然气工业,2012,32(9):1-4.
[7]何家欢.测试页岩基质渗透率不应考虑扩散影响的思考[J].特种油气藏,2015,22(4):147-150,158.
[8]袁彩萍,徐思煌,薛罗.珠江口盆地惠州凹陷主力烃源岩测井预测及评价[J].石油实验地质,2014,36(1):110-116.
[9]刘冲,张金川,唐玄,等.黔西北区下志留统龙马溪组页岩气聚集条件[J].特种油气藏,2014,21(6):61-64,144.
[10]曹文杰,肖圣,李总南.测井方法计算总有机碳含量和评价油页岩储层[J].测井技术,2012(4):356.
[11]Girija K.Joshi,Mihira N.Acharya,Mejbel S.Al-Azmi,et al.Direct toc quantification in unconventional kerogen-rich shale resourcePlay from elemental spectroscopy measurements:a case study[C]∥Paper 172975Presented at SPE Middle East Unconventional Resources Conference and Exhibition.2015.
[12]郭泽清,孙平,刘卫红.利用ΔlogR技术计算柴达木盆地三湖地区第四系有机碳[J].地球物理学进展,2012(2):626-633.
[13]丁永浩,任莉.中东T油田灰岩储层自然伽马能谱测井的应用[J].物探与化探,2014,38(5):890-894.
[14]王燕.自然伽马能谱测井资料确定黏土含量方法研究[J].石油天然气学报,2013,35(1):100-104.
[15]覃小丽,李荣西,王香增,等.鄂尔多斯盆地中南部地区山西组泥页岩含气量测定及方法探讨[J]天然气地球科学,2015,26(10):1984-1991.
[16]马行陟,柳少波,姜林,等.页岩吸附气含量测定的影响因素定量分析[J].天然气地球科学,2016,27(3):488-493.
[17]陈康,张金川,唐玄.湘鄂西下志留统龙马溪组页岩含气性测井评价[J].特种油气藏,2016,23(1):16-20,151-152.
[18]张作清,孙建孟,龚劲松,等.页岩气储层含气量计算模型研究[J].岩性油气藏,2015,27(6):5-14.
[19]张培先.页岩气测井评价研究——以川东南海相地层为例[J].特种油气藏,2012,19(2):12-15,135.
[20]唐颖,张金川,张琴,等.页岩气井水力压裂技术及其应用分析[J].天然气工业,2010,30(10):33-38,117.
[21]杨小兵,张树东,钟林,等.复杂多矿物组分的页岩气储层横波时差预测方法[J].天然气工业,2015,35(3):36-41.
[22]董宁,霍志周,孙赞东,等.泥页岩岩石物理建模研究[J].地球物理学报,2014,57(6):1990-1998.
[2]张东晓,杨婷云.页岩气开发综述[J].石油学报,2013,34(4):792-801.
[3]马林.页岩储层关键参数测井评价方法研究[J].油气藏评价与开发,2013,3(6):66-71.
[4]刘红岐,彭仕宓,唐洪,等.苏里格庙气田气层识别方法研究[J].西南石油学院学报,2005,27(1):8-11,93.
[5]赵谦平,王博涛,姜磊,等.页岩气多场耦合渗透率计算模型[J].特种油气藏,2017,24(2):1-8.
[6]钟太贤.中国南方海相页岩孔隙结构特征[J].天然气工业,2012,32(9):1-4.
[7]何家欢.测试页岩基质渗透率不应考虑扩散影响的思考[J].特种油气藏,2015,22(4):147-150,158.
[8]袁彩萍,徐思煌,薛罗.珠江口盆地惠州凹陷主力烃源岩测井预测及评价[J].石油实验地质,2014,36(1):110-116.
[9]刘冲,张金川,唐玄,等.黔西北区下志留统龙马溪组页岩气聚集条件[J].特种油气藏,2014,21(6):61-64,144.
[10]曹文杰,肖圣,李总南.测井方法计算总有机碳含量和评价油页岩储层[J].测井技术,2012(4):356.
[11]Girija K.Joshi,Mihira N.Acharya,Mejbel S.Al-Azmi,et al.Direct toc quantification in unconventional kerogen-rich shale resourcePlay from elemental spectroscopy measurements:a case study[C]∥Paper 172975Presented at SPE Middle East Unconventional Resources Conference and Exhibition.2015.
[12]郭泽清,孙平,刘卫红.利用ΔlogR技术计算柴达木盆地三湖地区第四系有机碳[J].地球物理学进展,2012(2):626-633.
[13]丁永浩,任莉.中东T油田灰岩储层自然伽马能谱测井的应用[J].物探与化探,2014,38(5):890-894.
[14]王燕.自然伽马能谱测井资料确定黏土含量方法研究[J].石油天然气学报,2013,35(1):100-104.
[15]覃小丽,李荣西,王香增,等.鄂尔多斯盆地中南部地区山西组泥页岩含气量测定及方法探讨[J]天然气地球科学,2015,26(10):1984-1991.
[16]马行陟,柳少波,姜林,等.页岩吸附气含量测定的影响因素定量分析[J].天然气地球科学,2016,27(3):488-493.
[17]陈康,张金川,唐玄.湘鄂西下志留统龙马溪组页岩含气性测井评价[J].特种油气藏,2016,23(1):16-20,151-152.
[18]张作清,孙建孟,龚劲松,等.页岩气储层含气量计算模型研究[J].岩性油气藏,2015,27(6):5-14.
[19]张培先.页岩气测井评价研究——以川东南海相地层为例[J].特种油气藏,2012,19(2):12-15,135.
[20]唐颖,张金川,张琴,等.页岩气井水力压裂技术及其应用分析[J].天然气工业,2010,30(10):33-38,117.
[21]杨小兵,张树东,钟林,等.复杂多矿物组分的页岩气储层横波时差预测方法[J].天然气工业,2015,35(3):36-41.
[22]董宁,霍志周,孙赞东,等.泥页岩岩石物理建模研究[J].地球物理学报,2014,57(6):1990-1998.