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| Generalized Pareto Distribution Model and Its Application to Hydrocarbon Resource Structure Prediction of the Huanghua Depression | |
| 引用本文： | Liu Xiaoping,Jin Zhijun,Chen Shanyong,Liu Lifang. Generalized Pareto Distribution Model and Its Application to Hydrocarbon Resource Structure Prediction of the Huanghua Depression[J]. 石油科学(英文版), 2006, 3(2): 22-27 |
| 作者姓名： | Liu Xiaoping Jin Zhijun Chen Shanyong Liu Lifang |
| 作者单位： | Liu Xiaoping1，2，Jin Zhijun3，Chen Shanyong4 and Liu Lifang5 (1. Basin and Reservoir Research Center，China University of Petroleum，Beijing 102249，China) (2. Key Laboratory for Hydrocarbon Accumulation Mechanism of Ministry Education，China University of Petroleum，Beijing 102249，China) (3. Exploration and Production Research Institute，SINOPEC，Beijing 100083，China) (4. Science and Technology Information Department of Dagang Oilfield，CNPC，Tianjing 300280，China) (5. China University of Geosciences，Beijing 100083，China) |
| 摘 要： | 1. Introduction Petroleum exploration practice has proven that the probability of discovering large oil/gas pools is low, while that of discovering medium and small-sized pools is high. A certain functional relationship named the probability density distribution function or model exists between oil/gas pool resource and the probability of discovery. The pool size probability statistic method aims to estimate the objective distribution of oil/gas pools in nature and to establish a probability d… |
| 关 键 词： | 广义佩瑞多分配模型 碳氢资源评估 碳氢资源结构 低气压 油气勘探 |
| 收稿时间： | 2005-12-26 |
Generalized Pareto Distribution Model and Its Application to Hydrocarbon Resource Structure Prediction of the Huanghua Depression |
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| Liu Xiaoping,Jin Zhijun,Chen Shanyong and Liu Lifang. Generalized Pareto Distribution Model and Its Application to Hydrocarbon Resource Structure Prediction of the Huanghua Depression[J]. Petroleum Science, 2006, 3(2): 22-27 | |
| Authors: | Liu Xiaoping Jin Zhijun Chen Shanyong Liu Lifang |
| Affiliation: | 1. Basin and Reservoir Research Center, China University of Petroleum, Beijing 102249, China;Key Laboratory for Hydrocarbon Accumulation Mechanism of Ministry Education, China University of Petroleum, Beijing 102249, China 2. Exploration and Production Research Institute, SINOPEC, Beijing 100083, China 3. Science and Technology Information Department of Dagang Oilfield, CNPC, Tianjing 300280, China 4. China University of Geosciences, Beijing 100083, China |
| Abstract: | The generalized Pareto distribution model is a kind of hydrocarbon pool size probability statistical method for resource assessment. By introducing the time variable, resource conversion rate and the geological variable, resource density, such model can describe not only different types of basins, but also any exploration samples at different phases of exploration, up to the parent population. It is a dynamic distribution model with profound geological significance and wide applicability. Its basic principle and the process of resource assessment are described in this paper. The petroleum accumulation system is an appropriate assessment unit for such method. The hydrocarbon resource structure of the Huanghua Depression in Bohai Bay Basin was predicted by using this model. The prediction results accord with the knowledge of exploration in the Huanghua Depression, and point out the remaining resources potential and structure of different petroleum accumulation systems, which are of great significance for guiding future exploration in the Huanghua Depression. |
| Keywords: | Generalized Pareto distribution model hydrocarbon resource assessment hydrocarbon resource structure Huanghua depression |
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