Grading evaluation and prediction of fracture-cavity reservoirs in Cambrian Longwangmiao Formation of Moxi area,Sichuan Basin,SW China
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摘要
By using core, thin section, well logging, seismic, well testing and other data, the reservoir grading evaluation parameters were selected, the classification criterion considering multiple factors for carbonate reservoirs in this area were established, and the main factors affecting the development of high quality reservoir were determined. By employing Formation MicroScanner Image(FMI) logging fracture-cavity recognition technology and reservoir seismic waveform classification technology, the spatial distribution of reservoirs of all grades were predicted. On the basis of identifying four types of reservoir space developed in the study area by mercury injection experiment, a classification criterion was established using four reservoir grading evaluation parameters, median throat radius, effective porosity and effective permeability of fracture-cavity development zone, relationship between fracture and dissolution pore development and assemblage, and the reservoirs in the study area were classified into grade I high quality reservoir of fracture and cavity type, grade II average reservoir of fracture and porosity type, grade Ⅲ poor reservoir of intergranular pore type. Based on the three main factors controlling the development of high quality reservoir, structural location, sedimentary facies and epigenesis, the distribution of the 3 grades reservoirs in each well area and formation were predicted using geophysical response and percolation characteristics. Follow-up drilling has confirmed that the classification evaluation standard and prediction methods established are effective.
By using core, thin section, well logging, seismic, well testing and other data, the reservoir grading evaluation parameters were selected, the classification criterion considering multiple factors for carbonate reservoirs in this area were established, and the main factors affecting the development of high quality reservoir were determined. By employing Formation MicroScanner Image(FMI) logging fracture-cavity recognition technology and reservoir seismic waveform classification technology, the spatial distribution of reservoirs of all grades were predicted. On the basis of identifying four types of reservoir space developed in the study area by mercury injection experiment, a classification criterion was established using four reservoir grading evaluation parameters, median throat radius, effective porosity and effective permeability of fracture-cavity development zone, relationship between fracture and dissolution pore development and assemblage, and the reservoirs in the study area were classified into grade I high quality reservoir of fracture and cavity type, grade II average reservoir of fracture and porosity type, grade Ⅲ poor reservoir of intergranular pore type. Based on the three main factors controlling the development of high quality reservoir, structural location, sedimentary facies and epigenesis, the distribution of the 3 grades reservoirs in each well area and formation were predicted using geophysical response and percolation characteristics. Follow-up drilling has confirmed that the classification evaluation standard and prediction methods established are effective.
By using core, thin section, well logging, seismic, well testing and other data, the reservoir grading evaluation parameters were selected, the classification criterion considering multiple factors for carbonate reservoirs in this area were established, and the main factors affecting the development of high quality reservoir were determined. By employing Formation MicroScanner Image(FMI) logging fracture-cavity recognition technology and reservoir seismic waveform classification technology, the spatial distribution of reservoirs of all grades were predicted. On the basis of identifying four types of reservoir space developed in the study area by mercury injection experiment, a classification criterion was established using four reservoir grading evaluation parameters, median throat radius, effective porosity and effective permeability of fracture-cavity development zone, relationship between fracture and dissolution pore development and assemblage, and the reservoirs in the study area were classified into grade I high quality reservoir of fracture and cavity type, grade II average reservoir of fracture and porosity type, grade Ⅲ poor reservoir of intergranular pore type. Based on the three main factors controlling the development of high quality reservoir, structural location, sedimentary facies and epigenesis, the distribution of the 3 grades reservoirs in each well area and formation were predicted using geophysical response and percolation characteristics. Follow-up drilling has confirmed that the classification evaluation standard and prediction methods established are effective.
引文
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[4]CHAI Yu,WANG Guiwen.Petrophysical facies classification of tight sandstone reservoir and high-quality reservoir prediction:A case study from the second member of Xujiahe Formation in Anyue area,central Sichuan Basin.Lithologic Reservoirs,2016,28(3):74-85.
[5]SUN Xiaoxia.On classification and evaluation of extra-low porosity and permeability reservoir in Yongjin Oilfield,Zhungaria Basin.Well Logging Technology,2012,36(5):479-484.
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[13]JIN Mindong,TAN Xiucheng,LI Ling,et al.Characteristics and distribution of grain bank of the Lower Cambrian Longwangmiao Formation in Moxi-Gaoshiti area,Sichuan Basin Journal of Palaeogeography,2015,17(3):347-357.
[14]ZHOU Jingao,FANG Chao,JI Hancheng,et al.A development rule of Lower Cambrian Longwangmiao grain beaches in the Sichuan Basin.Natural Gas Industry,2014,34(8):1-10.
[15]ZHOU Jingao,XU Chunchun,YAO Genshun,et al.Genesis and evolution of Lower Cambrian Longwangmiao Formation reservoirs,Sichuan Basin,SW China.Petroleum Exploration and Development,2015,42(2):158-166.
[16]GAO Shusheng,HU Zhiming,AN Weiguo,et al.Distribution characteristics of dolomite reservoir pores and caves of Longwangmiao Fm gas reservoirs in the Sichuan Basin.Natural Gas Industry,2014,34(3):103-109.
[17]LAI Qiang,XIE Bing,WU Yuyu,et al.Petrophysical characteristics and logging evaluation of asphaltene carbonate reservoirs:A case study of the giant gas reservoir of the Cambrian Longwangmiao Formation in Anyue gas field,Sichuan Basin.Petroleum Exploration and Development,2017,44(6):1-7.
[18]GAO Shaowu,ZHAO Bo,HE Zhenhua,et al.Research progress of seismic wavelet extraction.Progress in Geophysics,2009,24(4):1384-1391.
[19]ZHANG Xiaobin,LIU Xiaobing,ZHAO Xiaohong,et al.Application of resolution improvement in seismic data processing technology to the Longwangmiao Fm gas reservoir exploration in Leshan-Longnüsi Paleouplift,Sichuan Basin Natural Gas Industry,2014,34(3):1-6.
[20]ZHANG Guangrong,LIAO Qi,YU Yi,et al.Seismic prediction on the favorable efficient development areas of the Longwang-miao Fm gas reservoir in the Gaoshiti-Moxi area,Sichuan Basin.Natural Gas Industry,2017,37(1):66-75.
[21]DU Jinhu,ZOU Caineng,XU Chunchun,et al.Theoretical and technical innovations in strategic discovery of a giant gas field in Cambrian Longwangmiao Formation of central Sichuan paleo-uplift,Sichuan Basin.Petroleum Exploration and Development,2014,41(3):268-277.
[2]ZHANG Zhonghong,YANG Zhengming,LIU Xiangui,et al.A grading evaluation method for low-permeability reservoirs and its application.Acta Petrolei Sinica,2012,33(3):437-441.
[3]WEN Xiaotao,HE Zhenhua,HUANG Deji.Using multi-information to evaluate carbonate reservoir.Well Logging Technology,2005,29(3):223-226.
[4]CHAI Yu,WANG Guiwen.Petrophysical facies classification of tight sandstone reservoir and high-quality reservoir prediction:A case study from the second member of Xujiahe Formation in Anyue area,central Sichuan Basin.Lithologic Reservoirs,2016,28(3):74-85.
[5]SUN Xiaoxia.On classification and evaluation of extra-low porosity and permeability reservoir in Yongjin Oilfield,Zhungaria Basin.Well Logging Technology,2012,36(5):479-484.
[6]SHARAWYA M S E,GAAFARB G R.Reservoir zonation based on statistical analyses:A case study of the Nubian sandstone,Gulf of Suez,Egypt.Journal of African Earth Sciences2016,124:199-210.
[7]RAEESI M,MORADZADEH A,ARDEJANI F D,et al.Classification and identification of hydrocarbon reservoir lithofacies and their heterogeneity using seismic attributes,logs data and artificial neural networks.Journal of Petroleum Science and Engineering,2012,82/83:151-165.
[8]XUE Haitao,SHI Han,LU Shuangfang,et al.A study of classification evaluation criteria of TOC of carbonate gas source rocks.Natural Gas Industry,2006,26(7):25-48.
[9]LUO Ping,QIU Yi’nan,JIA Ailin,et al.The present challenges of Chinese petroleum reservoir geology and research direction.Acta Sedimentologica Sinica,2003,21(1):142-147.
[10]LI Xizhe,GUO Zhenhua,WAN Yujin,et al.Geological features of and development strategies for Cambrian Longwangmiao Formation gas reservoir in Anyue gas field,Sichuan Basin,SW China.Petroleum Exploration and Development,2017,44(3):1-9.
[11]The State Economic and Trade Commission.The description of exploitation geologic characteristics for carbonate gas reservoir:SY/T6110-2002.Beijing:China Standards Press,2002.
[12]YANG Xuefei,WANG Xingzhi,YANG Yueming,et al.Diagenesis of the dolomite reservoir in lower Cambrian Longwangmiao Formation in Central Sichuan Basin.Geological Science and Technology Information,2015,34(1):35-41.
[13]JIN Mindong,TAN Xiucheng,LI Ling,et al.Characteristics and distribution of grain bank of the Lower Cambrian Longwangmiao Formation in Moxi-Gaoshiti area,Sichuan Basin Journal of Palaeogeography,2015,17(3):347-357.
[14]ZHOU Jingao,FANG Chao,JI Hancheng,et al.A development rule of Lower Cambrian Longwangmiao grain beaches in the Sichuan Basin.Natural Gas Industry,2014,34(8):1-10.
[15]ZHOU Jingao,XU Chunchun,YAO Genshun,et al.Genesis and evolution of Lower Cambrian Longwangmiao Formation reservoirs,Sichuan Basin,SW China.Petroleum Exploration and Development,2015,42(2):158-166.
[16]GAO Shusheng,HU Zhiming,AN Weiguo,et al.Distribution characteristics of dolomite reservoir pores and caves of Longwangmiao Fm gas reservoirs in the Sichuan Basin.Natural Gas Industry,2014,34(3):103-109.
[17]LAI Qiang,XIE Bing,WU Yuyu,et al.Petrophysical characteristics and logging evaluation of asphaltene carbonate reservoirs:A case study of the giant gas reservoir of the Cambrian Longwangmiao Formation in Anyue gas field,Sichuan Basin.Petroleum Exploration and Development,2017,44(6):1-7.
[18]GAO Shaowu,ZHAO Bo,HE Zhenhua,et al.Research progress of seismic wavelet extraction.Progress in Geophysics,2009,24(4):1384-1391.
[19]ZHANG Xiaobin,LIU Xiaobing,ZHAO Xiaohong,et al.Application of resolution improvement in seismic data processing technology to the Longwangmiao Fm gas reservoir exploration in Leshan-Longnüsi Paleouplift,Sichuan Basin Natural Gas Industry,2014,34(3):1-6.
[20]ZHANG Guangrong,LIAO Qi,YU Yi,et al.Seismic prediction on the favorable efficient development areas of the Longwang-miao Fm gas reservoir in the Gaoshiti-Moxi area,Sichuan Basin.Natural Gas Industry,2017,37(1):66-75.
[21]DU Jinhu,ZOU Caineng,XU Chunchun,et al.Theoretical and technical innovations in strategic discovery of a giant gas field in Cambrian Longwangmiao Formation of central Sichuan paleo-uplift,Sichuan Basin.Petroleum Exploration and Development,2014,41(3):268-277.