文昌B凹陷古近系低渗储层物性影响因素定量评价与应用
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摘要
珠江口盆地文昌B凹陷的油气勘探已经进入古近系中深层领域,低渗储层是制约该领域油气勘探的关键。该区低渗储层物性影响因素的研究处于定性阶段,主控因素不明确是导致"甜点"储层难以预测的关键。针对这种现状和难点,在系统分析沉积、成岩和构造作用对储层物性影响的基础上,利用岩心实验分析和钻井统计数据,运用多元回归方法对储层物性影响因素进行了定量评价,确定了储层物性主控因素及权重,从而综合预测出有利储层的分布区。结果表明:珠海组储层物性主控因素为胶结和压实作用,恩平组储层物性主控因素为沉积作用,文昌组储层物性主控因素为沉积和压实作用。根据上述研究结果,在地质模式的指导下精准预测了重点层段恩平组的优质储层展布,并指出D9-9构造和D9-10构造发育"甜点"储层,具有较大的勘探潜力。该项研究成果对文昌B凹陷乃至整个珠江口盆地西部低渗储层领域的油气勘探具有重要指导意义。
The exploration of oil and gas has entered the middle and deep area of Paleogene in Wenchang B Sag, Pearl River Mouth Basin. The key to restrict exploration in this area is low permeability reservoir. The factors affecting the physical properties of low permeability reservoirs are qualitative stage in this area. Yet, it is difficulty to predicting the "sweet point" reservoirs for the main control factors uncertainty. Based on a comprehensive analysis of the effects of sedimentation, diagenesis and tectonism on reservoir properties and the data of core experiment analysis and drilling statistics, this paper uses multivariate regression to quantitatively evaluate the influencing factors of reservoir properties to understand the main controlling factors and weights of reservoir properties, so as to predict the distribution area of high quality reservoirs. The results show that the main controlling factors of reservoir property in Zhuhai Formation are cementation and compaction, and other factors are sedimentation in Enping Formation, and sedimentation and compaction in Wenchang Formation. The above results facilitate the prediction of high quality reservoirs in the Enping Formation, the "sweet point" reservoirs developed in the D9-9 and D9-10 structure, which have great potential for exploration. This research has important guiding significance for exploration in the middle and deep layers of the Wenchang B Sag and even in the western part of the Pearl River Mouth Basin.
The exploration of oil and gas has entered the middle and deep area of Paleogene in Wenchang B Sag, Pearl River Mouth Basin. The key to restrict exploration in this area is low permeability reservoir. The factors affecting the physical properties of low permeability reservoirs are qualitative stage in this area. Yet, it is difficulty to predicting the "sweet point" reservoirs for the main control factors uncertainty. Based on a comprehensive analysis of the effects of sedimentation, diagenesis and tectonism on reservoir properties and the data of core experiment analysis and drilling statistics, this paper uses multivariate regression to quantitatively evaluate the influencing factors of reservoir properties to understand the main controlling factors and weights of reservoir properties, so as to predict the distribution area of high quality reservoirs. The results show that the main controlling factors of reservoir property in Zhuhai Formation are cementation and compaction, and other factors are sedimentation in Enping Formation, and sedimentation and compaction in Wenchang Formation. The above results facilitate the prediction of high quality reservoirs in the Enping Formation, the "sweet point" reservoirs developed in the D9-9 and D9-10 structure, which have great potential for exploration. This research has important guiding significance for exploration in the middle and deep layers of the Wenchang B Sag and even in the western part of the Pearl River Mouth Basin.
引文
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[8] 万琳,王清斌,赵国祥,等.扇三角洲不同粒级砂岩储层微观孔隙结构定量表征:以石臼坨凸起陡坡带东三段为例[J].地质科技情报,2018,37(5):90-99.
[9] 赵习,刘波,郭荣涛,等.储层表征技术及应用进展[J].石油实验地质,2017,39(2):287-294.
[10] 查明,尹向烟,姜林,等.CT扫描技术在石油勘探开发中的应用[J].地质科技情报,2017,36(4):228-235.
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[12] Jin J H,Kim J,Lee J Y,et al.Correlative multiple porosimetries for reservoir sandstones with adoption of a new reference-sample-guided computed-tomographic method[J].Scientific Reports,2016,6:1-10.
[13] 陶艳忠,蒋裕强,王猛,等.遂宁-蓬溪地区须二段储层成岩作用与孔隙演化[J].中国地质,2014,26(1):58-66.
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[18] 蒋裕强,王猛,刁昱翔,等.川中低孔渗砂岩成岩相定量评价与快速预测:以遂宁-蓬溪须二段为例[J].中国地质,2014,41(2):437-449.
[19] 邹才能,陶士振,周慧,等.成岩相的形成、分类与定量评价方法[J].石油勘探与开发,2008,35(5):526-540.
[20] 陆江,赵彦璞,朱沛苑,等.孔隙度反演回剥法在储层物性定量预测中的应用:以珠Ⅲ坳陷文昌区为例[J].地质科技情报,2018,37(6):105-114.
[21] 黎盼,孙卫,高永利,等.致密砂岩储层差异性成岩演化对孔隙度定量演化表征影响:以鄂尔多斯盆地马岭地区长81储层为例[J].地质科技情报,2018,37(1):135-142.
[22] Vadapalli U,Srivastava R P,Vedanti N,et al.Estimation of permeability of a sandstone reservoir by a fractal and Monte Carlo simulation approach:A case study[J].Nonlinear Processes in Geophysics,2014,21(1):9-18.
[23] Ju Y,Yang Y M,Zhao X,et al.Topological representation of the porous structure and its evolution of reservoir sandstone under excavation-induced loads[J].Thermal Science,2017,21(1):285-292 .
[24] Cao J H,Yang J C,Wang Y,et al.Extreme learning machine for reservoir parameter estimation in heterogeneous sandstone reservoir[J].Mathematical Problems in Engineering,2014(2):199-208.
[25] Benavente D,Pla C,Cueto N,et al.Predicting water permeability in sedimentary rocks from capillary imbibition and pore structure[J].Engineering Geology,2015,195:301-311.
[26] Almeida P,Carrasquilla A.Integrating geological attributes with a multiple linear regression of geophysical well logs to estimate the permeability of carbonate reservoirs in Campos Basin,Southeastern Brazil[C]//Anon.Society of Exploration Geophysicists.Barcelona,Spain:SEG and AAPG,2016:8-17.
[27] Fengqi Tan,Neupane B.Well logging interpretation models of ultra-low permeability reservoir based on reservoir characteristics analysis[C]//Anon.Abstract Volume Seventh Nepal Geological Congress(Ngc-Vii).Kathmandu,Nepal :Nepal Geological Society,2015,48:23-24.
[28] 王改云,刘金萍,简晓玲,等.北黄海盆地下白垩统致密砂岩储层特征及成因[J].地球科学,2016,41(3):523-532.
[29] 陈林.川西南部地区沙溪庙组储层特征及其控制因素研究[D].成都:西南石油大学,2015:1-81.
[30] 杨宪彰,毛亚昆,钟大康,等.构造挤压对砂岩储层垂向分布差异的控制:以库车前陆冲断带白垩系巴什基奇克组为例[J].天然气地质学,2016,27(4):591-599.
[31] 江汝锋,游君君,冯士信,等.珠江口盆地西部伸展-走滑控藏新认识及勘探突破[C]//国家自然科学基金委员会,中国地质学会.第一届构造地质学与地球动力学青年学术论坛.2018:354-355.
[32] 李小明,谢祥俊,刘建兴.概率论与数理统计[M].第2版.北京:中国石油大学出版社,2008:16-27.
[33] 李汉林,赵永军,王海起.石油数学地质[M].第2版.北京:高等教育出版社,2010:148-161.
[2] 姜华,王华,肖军,等.古地貌对边缘海盆地沉积充填特征的控制:以南海珠江口盆地珠三坳陷为例[J].石油天然气学报:江汉石油学院学报,2008,30(1):10-15.
[3] 张迎朝,甘军,邓勇,等.珠江口盆地西部文昌B凹陷及周边油气成藏组合[J].中国海上油气,2009,21(5):303-307.
[4] 张迎朝,陈志宏,李绪深,等.文昌B凹陷陡坡带珠海组二段海侵扇三角洲储层特征及油气成藏特征[J].矿物岩石,2011,31(2):86-95.
[5] 尤丽,张迎朝,李才,等.基于沉积成岩-储集相分析确定文昌9区低渗储层“甜点”分布[J].吉林大学学报:地球科学版,2014,44(5):1432-1440.
[6] 蒋裕强,陈林,蒋婵,等.致密储层孔隙结构表征技术及发展趋势[J].地质科技情报,2014,33(3):63-70.
[7] 张立安,王鹏飞,杨志成,等.低渗储层特征及主控因素研究:以A油田X油层为例[J].石油天然气学报,2013,35(11):15-20.
[8] 万琳,王清斌,赵国祥,等.扇三角洲不同粒级砂岩储层微观孔隙结构定量表征:以石臼坨凸起陡坡带东三段为例[J].地质科技情报,2018,37(5):90-99.
[9] 赵习,刘波,郭荣涛,等.储层表征技术及应用进展[J].石油实验地质,2017,39(2):287-294.
[10] 查明,尹向烟,姜林,等.CT扫描技术在石油勘探开发中的应用[J].地质科技情报,2017,36(4):228-235.
[11] Schmitt M,Halisch M,Muller C et al .Classification and quantification of pore shapes in sandstone reservoir rocks with 3-D X-ray micro-computed tomography[J].Solid Earth,2016,7:285-300 .
[12] Jin J H,Kim J,Lee J Y,et al.Correlative multiple porosimetries for reservoir sandstones with adoption of a new reference-sample-guided computed-tomographic method[J].Scientific Reports,2016,6:1-10.
[13] 陶艳忠,蒋裕强,王猛,等.遂宁-蓬溪地区须二段储层成岩作用与孔隙演化[J].中国地质,2014,26(1):58-66.
[14] 李福来,王石头,苗顺德,等.华庆地区长63段低渗储层特征及优质储层主控因素[J].吉林大学学报:地球科学版,2015,45(6):1580-1588.
[15] Houseknecht D W.Assessing the relative importance of compaction processes and cementation to reduction of porosity in sandstones[J].AAPG Bulletin,1987,71:633-642.
[16] Wang Guangwei,Chang Xiangchun,Yin Wei,et al.Impact of diagenesis on reservoir quality and heterogeneity of the Upper Triassic Chang 8 tight oil sandstones in the Zhenjing area,Ordos Basin,China[J].Marine and Petroleum Geology,2017,83:84-96.
[17] Baiyegunhi C,Liu K W,Gwavava O.Diagenesis and reservoir properties of the Permian Ecca Group sandstones and mudrocks in the eastern Cape Province,South Africa[J].Minerals,2017,88(7):1-26.
[18] 蒋裕强,王猛,刁昱翔,等.川中低孔渗砂岩成岩相定量评价与快速预测:以遂宁-蓬溪须二段为例[J].中国地质,2014,41(2):437-449.
[19] 邹才能,陶士振,周慧,等.成岩相的形成、分类与定量评价方法[J].石油勘探与开发,2008,35(5):526-540.
[20] 陆江,赵彦璞,朱沛苑,等.孔隙度反演回剥法在储层物性定量预测中的应用:以珠Ⅲ坳陷文昌区为例[J].地质科技情报,2018,37(6):105-114.
[21] 黎盼,孙卫,高永利,等.致密砂岩储层差异性成岩演化对孔隙度定量演化表征影响:以鄂尔多斯盆地马岭地区长81储层为例[J].地质科技情报,2018,37(1):135-142.
[22] Vadapalli U,Srivastava R P,Vedanti N,et al.Estimation of permeability of a sandstone reservoir by a fractal and Monte Carlo simulation approach:A case study[J].Nonlinear Processes in Geophysics,2014,21(1):9-18.
[23] Ju Y,Yang Y M,Zhao X,et al.Topological representation of the porous structure and its evolution of reservoir sandstone under excavation-induced loads[J].Thermal Science,2017,21(1):285-292 .
[24] Cao J H,Yang J C,Wang Y,et al.Extreme learning machine for reservoir parameter estimation in heterogeneous sandstone reservoir[J].Mathematical Problems in Engineering,2014(2):199-208.
[25] Benavente D,Pla C,Cueto N,et al.Predicting water permeability in sedimentary rocks from capillary imbibition and pore structure[J].Engineering Geology,2015,195:301-311.
[26] Almeida P,Carrasquilla A.Integrating geological attributes with a multiple linear regression of geophysical well logs to estimate the permeability of carbonate reservoirs in Campos Basin,Southeastern Brazil[C]//Anon.Society of Exploration Geophysicists.Barcelona,Spain:SEG and AAPG,2016:8-17.
[27] Fengqi Tan,Neupane B.Well logging interpretation models of ultra-low permeability reservoir based on reservoir characteristics analysis[C]//Anon.Abstract Volume Seventh Nepal Geological Congress(Ngc-Vii).Kathmandu,Nepal :Nepal Geological Society,2015,48:23-24.
[28] 王改云,刘金萍,简晓玲,等.北黄海盆地下白垩统致密砂岩储层特征及成因[J].地球科学,2016,41(3):523-532.
[29] 陈林.川西南部地区沙溪庙组储层特征及其控制因素研究[D].成都:西南石油大学,2015:1-81.
[30] 杨宪彰,毛亚昆,钟大康,等.构造挤压对砂岩储层垂向分布差异的控制:以库车前陆冲断带白垩系巴什基奇克组为例[J].天然气地质学,2016,27(4):591-599.
[31] 江汝锋,游君君,冯士信,等.珠江口盆地西部伸展-走滑控藏新认识及勘探突破[C]//国家自然科学基金委员会,中国地质学会.第一届构造地质学与地球动力学青年学术论坛.2018:354-355.
[32] 李小明,谢祥俊,刘建兴.概率论与数理统计[M].第2版.北京:中国石油大学出版社,2008:16-27.
[33] 李汉林,赵永军,王海起.石油数学地质[M].第2版.北京:高等教育出版社,2010:148-161.
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