| 目标层次建模预测水下扇储层微相分布 |
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| 引用本文： | 尹艳树,吴胜和,秦志勇.目标层次建模预测水下扇储层微相分布[J].成都理工大学学报(自然科学版),2006,33(1):53-57. |
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| 作者姓名： | 尹艳树 吴胜和 秦志勇 |
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| 作者单位： | 1. 中国石油大学资源与信息学院,北京,102249
2. 中国石油大港油田分公司采油一厂,天津,300280 |
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| 基金项目： | 国家重点基础研究发展计划(973计划) |
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| 摘 要： | 储层目标层次随机建模方法(Fluvsim)是一种新的基于目标的储层随机建模方法.与传统的随机建模很少考虑储层成因联系相比,储层目标层次随机建模方法较好地考虑了储层成因联系,通过储层目标整体生成,再现成因上相关储层在空间分布特征.而模拟退火方法的引入,克服了基于目标方法难以忠实于条件数据的缺点.利用Fluvsim较好地建立了濮城油田C中期旋回水下扇微相空间分布.沟道垂向比例在模拟实现中得到很好的再现,误差不超过3%.抽稀检验表明,沟道吻合程度参数平均值超过80%,建模结果具有较高的可信度.
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| 关 键 词： | 目标层次建模 储层成因 条件化数据 水下扇 濮城油田 目标层次建模 预测水 储层 相分布 oilfield modelling method hierarchical microfacies reservoir 可信度 结果 平均值 程度参数 检验 抽稀 误差 模拟实现 比例 沟道 相空间分布 |
| 文章编号： | 1671-9727（2006）01-0053-05 |
| 收稿时间： | 2005-07-04 |
| 修稿时间： | 2005年7月4日 |
Modeling of subwater fan reservoir microfacies using the hierarchical object-based modelling method in the Pucheng oilfield, China |
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| YIN Yan-shu,WU Sheng-he,QIN Zhi-yong.Modeling of subwater fan reservoir microfacies using the hierarchical object-based modelling method in the Pucheng oilfield, China[J].Journal of Chengdu University of Technology: Sci & Technol Ed,2006,33(1):53-57. |
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| Authors: | YIN Yan-shu WU Sheng-he QIN Zhi-yong |
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| Abstract: | This paper introduces a new object-based stochastic method-the reservoir hierarchical object-based modeling(Fluvsim).Compared with the old stochastic modeling methods,Fluvsim emphasizes the analysis of the reservoir hierarchy and the correlation of different genetic geological units.Fluvsim introduces a new object reproduction technology with obvious characteristics of total object construction and is integrated with the simulated annealing to enhance data conditioning.The geological model of C median base-level cycle has been constructed using Fluvsim in the Pucheng oilfield of the Dongpu depression.The geological model has been tested and verified.The vertical proportion of channel is reproduced well and the error is less than 3 percent.Further more,the average match ratio of the channel is up to 80 percent.The constructed geological model is precise. |
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| Keywords: | hierarchical object-based modeling reservoir genesis data conditioning underwater fan Pucheng oilfield |
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