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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 |
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Abstract 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.
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Received: 09 April 2019
Published: 03 March 2020
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Corresponding Authors:
Zhan-Song ZHANG
E-mail: zhangzhs@yangtze.edu.cn
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Scanning electron micrograph of the core of Zhuhai Formation in Huizhou Depression
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Classification of core capillary pressure curve
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Capillary pressure curve corresponding to the test layer
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Cross-section of the oil production index per meter and physical parameters
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Cross-section of the oil production index per meter and comprehensive evaluation index
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Cross-section of the comprehensive evaluation index and reservoir quality index
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The chart of productivity logging classification evaluation in H well
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