Classification and identification method of reservoir logging capacity in Huizhou depression of Pearl River mouth basin
Jin FENG1, Bing ZHAO2, Zhan-Song ZHANG2(), Chao-Mo ZHANG2
1. Shenzhen Branch of CNOOC(China) Co.,Ltd.,Shenzhen 518054,China 2. Key Laboratory of Exploration Technologies for Oil and Gas Resources,Ministry of Education,Yangtze University,Wuhan 430100,China
产能预测是油田生产中的关键一步,而定量预测储层产能存在难度。因此通常先对产能级别进行划分,为储层产能定量预测提供基础。通过分析珠江口盆地惠州凹陷储层产能影响因素,利用能够反映储层岩石物理特征的191块岩心毛管压力曲线形态将储层类别划分为3类,然后将储层分类和产能分级相结合,将储层米采油指数的分级界限确定为12和2 m 3/(d·MPa·m),提出储层宏观与微观物性参数结合的综合评价指数Z来划分储层产能,最终利用储层品质因子RQI来识别全井段储层产能级别。利用该产能分级与识别方法对研究区所有测试层产能级别进行划分,准确率达到了90%以上。该方法应用效果较好,可尝试推广使用。
Capacity prediction is a key step in oilfield production.It is difficult to predict reservoir capacity quantitatively.Therefore,the classification of reservoir capacity is usually carried out first to provide a basis for quantitative prediction of reservoir capacity.By analyzing the factors affecting the reservoir capacity in the Huizhou depression of Pearl River mouth basin,191 core capillary pressure curves which can reflect the petrophysical characteristics of reservoirs were used to classify reservoirs into three categories.Then,through combining reservoir classification with capacity classification,the classification limits of reservoir oil production index per meter were determined as 12 and 2 m 3/(d·MPa·m).The comprehensive evaluation index Z,which combines the macroscopic and microscopic physical parameters of the reservoir,was used to divide the reservoir capacity,and finally the reservoir quality index was used to identify the reservoir capacity category of the whole well.Using the capacity classification and identification method,the authors divided the capacity categories of all test sites in the study area,with the accuracy rate over 90%.The method has a good application effect and deserves promotion.
冯进, 赵冰, 张占松, 张超谟. 珠江口盆地惠州凹陷储层测井产能分级与识别方法[J]. 物探与化探, 2020, 44(1): 81-87.
Jin FENG, Bing ZHAO, Zhan-Song ZHANG, Chao-Mo ZHANG. Classification and identification method of reservoir logging capacity in Huizhou depression of Pearl River mouth basin. Geophysical and Geochemical Exploration, 2020, 44(1): 81-87.
Shen X Y, Niu G X, Dou F H . Dense sandstone reservoir classification and productivity prediction of Fuyu oil layer in Longxi area[J]. World Well Logging Technology, 2018,39(3):12-17.
Zhang Z S, Zhang C M, Guo H M . On productivity prediction of low porosity and permeability reservoirs based on reservoirs classification[J]. Well Logging Technology, 2011,35(5):482-486.
Wang Z, Xu J W, Gu B . Low porosity and low permeability reservoir deliverability based on well logging data[J]. Journal of Southwest Petroleum University:Science & Technology Edition, 2009,31(6):51-55.
[4]
李玮 . HB油田碎屑岩储层测井产能预测方法研究与应用[D]. 武汉:长江大学, 2014.
[4]
Li W . The logging study and application of production in the clastic formations of HB oil field[D]. Wuhan:Yangtze University, 2014.
Tian M, Dong C M, Lin C Y , et al. Productivity evaluation method of single sand body gas reservoir in Sebei-2 biogenic gas field,Qaidam Basin[J]. Journal of Jilin University:Earth Science Edition, 2017,47(4):1060-1069.
Wu Y P, Chang L J, Zheng G Q , et al. Research on productivity classification method of low permeability fractured gas field[J]. Natural Gas Geoscience, 2013,24(6):1220-1225.
He Y F, Wan J B, Wang C J , et al. Research on classification and prediction of extra low permeability reservoir capacity based on well logging data[J]. World Well Logging Technology, 2014(2):25-28.
Ma N, Hou D J, Shi H H , et al. Analysis of the main controlling factors of source rocks of Huizhou sag in the Pearl River Mouth Basin[J]. Journal of Daqing Petroleum Institute, 2012,36(3):19-24.
Ge B C, Wen Z, Zheng J D . Evaluating and predicting method of oil layer's natural production using well logging data[J]. Petroleum Geology & Oilfield Development in Daqing, 2003,22(1):54-56.
Kang Y S, Huan G Q, Song J X . Method for natural productivity prediction in production testing interval and its application to Tarim Basin[J]. Xinjiang Petroleum Geology, 2006,27(6):751-753.
Huang Y Y . Analysis of factors affecting pure reservoir capacity in Huizhou depressin of Pearl River Mouth Basin[J]. Chinese Journal of Engineering Geophysics, 2018,15(6):720-725.
Long G S, Shi H S, Zheng R C , et al. Characteristics and development controlling factors of Paleogene deep reservoirs in Huizhou depression,Pearl River Mouth Basin[J]. Marine Origin Petroleum Geology, 2011,16(3):71-78.
Ma N, Hou D J, Shi H S , et al. Analysis of main controlling factors of source rocks of Huizhou sag in the Pearl River Mouth Basin[J]. Journal of Daqing Petroleum Institute, 2012,36(3):19-24.
Liu Y K, Wang Y P, Tang H M , et al. Application of capillary pressure curves and fractal theory to reservoir classification[J]. Lithologic Reservoirs, 2014,26(3):89-92.
Dou W C, Liu L F, Wu K J , et al. Pore structure characteristics and its effect on permeability by mercury injection measurement:An example from Triassic Chang-7 reservoir,southwest Ordos Basin[J]. Geological Review, 2016,62(2):502-512.
