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| 致密砂岩地震储层质量评价方法研究 |
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陈文浩1,2,董少群1,2,王志章1,2,侯加根1,2,李汉林3
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(1.中国石油大学地球科学学院,北京 102249;2.中国石油大学油气资源与探测国家重点实验室,北京 102249;3.中国石油大学地球科学与技术学院,山东青岛 266580)
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| 摘要: |
| 以红岗油田某研究区扶余油层致密砂岩储层为例,探讨储层质量评价的新方法。首先根据研究区砂岩储层的特点,综合岩性、物性等参数构造储层质量综合评价参数RQCP,以此确定储层质量级别标准,解决储层分类问题;然后应用核Fisher判别分析建立地震属性与储层质量分类的识别模型,预测储层质量平面展布;最终在储层质量平面约束下建立3维储层质量评价模型。结果表明,应用提出的储层质量评价方法获得的3维质量评价模型可以实现对储层质量的有效评价,提出的致密砂岩储层质量评价方法可为其他地区致密砂岩储层质量评价提供借鉴。 |
| 关键词: 致密砂岩储层 核Fisher判别方法 地震属性 储层质量评价 |
| DOI：10.3969/j.issn.1673-5005.2016.03.008 |
| 分类号::P 631.9 |
| 基金项目:国家重大科技专项(2011ZX05008-004-60-64) |
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| Seismic reservoir quality evaluation in tight sandstone reservoirs |
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CHEN Wenhao1,2, DONG Shaoqun1,2, WANG Zhizhang1,2, HOU Jiagen1,2, LI Hanlin3
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(1.College of Geosciences in China University of Petroleum, Beijing 102249, China;2.State Key Laboratory of Petroleum Resources and Prospecting in China University of Petroleum, Beijing 102249, China;3.School of Geosciences in China University of Petroleum, Qingdao 266580, China)
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| Abstract: |
| Taking tight sandstone reservoirs in Honggang area as an example, a seismic reservoir quality evaluation method in tight sandstone reservoirs was discussed. According to the characteristics of tight sandstone reservoir in Honggang area, a comprehensive parameter for evaluating reservoir quality, RQCP is introduced, which incorporates lithology and physical properties, in order to determine the levels of reservoir quality and to resolve the problem of reservoir classification. Based on optimized seismic attributes, using kernel Fisher discriminant analysis(KFDA) algorithm, the classification model is built between seismic attributes and reservoir quality levels to predict a reservoir quality distribution plane; constrained by 2D planes, a three-dimensional reservoir quality evaluation model was constructed. The research shows that the three-dimension model that uses this seismic reservoir quality evaluation method can describe reservoir quality distributions well, suggesting a broader application of the method in tight sandstone reservoirs in other regions. |
| Key words: tight sand reservoirs kernel Fisher discriminant analysis(KFDA) algorithm seismic attribute reservoir quality evaluation |
