[1]王珂,张荣虎,戴俊生,等.低渗透储层裂缝研究进展[J].地球科学与环境学报,2015,37(02):44-58.
WANG Ke,ZHANG Rong-hu,DAI Jun-sheng,et al.Review on Low-permeability Reservoir Fracture[J].Journal of Earth Sciences and Environment,2015,37(02):44-58.
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《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]
- 卷:
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第37卷
- 期数:
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2015年第02期
- 页码:
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44-58
- 栏目:
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基础地质与矿产地质
- 出版日期:
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2015-03-15
文章信息/Info
- Title:
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Review on Low-permeability Reservoir Fracture
- 文章编号:
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1672-6561(2015)02-0044-15
- 作者:
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王珂; 张荣虎; 戴俊生; 郇志鹏; 田福春
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1. 中国石油杭州地质研究院,浙江 杭州310023;2. 中国石油大学(华东) 地球科学与技术学院,山东 青岛 266580;3. 中国石油塔里木油田公司塔北勘探开发项目经理部,新疆 库尔勒 841000;4. 中国石油大港油田公司石油工程研究院,天津 300280
- Author(s):
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WANG Ke; ZHANG Rong-hu; DAI Jun-sheng; HUAN Zhi-peng; TIAN Fu-chun
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1. Hangzhou Research Institute of Geology, PetroChina, Hangzhou 310023, Zhejiang, China; 2. School of Geosciences, China University of Petroleum, Qingdao 266580, Shandong, China; 3. Tabei Exploration and Development Project, Tarim Oilfield Company, PetroChina, Korla 841000, Xinjiang, China; 4. Petroleum Engineering Research Institute, Dagang Oilfield Company, PetroChina, Tianjin 300280, China
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- 关键词:
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低渗透储层; 裂缝识别; 定性预测; 定量预测; 关键问题; 动态参数; 地质建模
- Keywords:
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low-permeability reservoir; fracture recognition; qualitative prediction; quantitative prediction; key question; dynamic parameter; geologic modeling
- 分类号:
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P618.130.2+1;TE122.2
- DOI:
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- 文献标志码:
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A
- 摘要:
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储层裂缝对改善致密砂岩和碳酸盐岩等低渗透储层以及致密砾岩、火成岩、泥页岩等非常规低渗透储层的物性具有重要作用。通过总结近年来储层裂缝的相关研究进展,对储层裂缝的多种识别和预测方法进行了分析,并讨论了储层裂缝研究的几个关键问题。结果表明:储层裂缝的识别技术是点(岩芯、薄片)、线(测井)、面(相似地表露头区)、体(地震资料)和时间(生产动态资料)组成的多维综合体系;储层裂缝的定性预测主要是根据裂缝与构造部位和岩性之间的关系进行,定量预测方法包括井间直接插值法、曲率法、能量法与岩石破裂法(二元法)、地震法、分形分维法、构造应力场数值模拟法和多参数判据法等,每种预测方法各有其优势与不足,因此,需要综合多种方法才能实现储层裂缝的有效预测;储层裂缝研究的关键问题包括裂缝分布预测与精细表征、裂缝动态参数和裂缝三维地质建模等方面。最后,在油气田勘探开发中进行储层裂缝预测及建模等工作时,应以明确储层裂缝的成因、演化及主控因素为基础。
- Abstract:
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Reservoir fractures have a significant effect on improving the physical property of tight sandstone reservoir, carbonate rock reservoir and unconventional low-permeability reservoir such as tight conglomerate rocks, igneous rocks and shale rocks. The researches on reservoir fracture were summarized, several methods of recognition and prediction on reservoir fracture were analyzed, and several key questions in reservoir fracture research were discussed. The results show that the recognition technology of reservoir fracture is a multi-division synthetic system composed with point (core and slices), line (logging), surface (similar surface outcrops), volume (seismic data) and time (dynamic production data); the qualitative prediction of reservoir fracture is mainly based on the relationship between fracture and structural location, lithology; the quantitative prediction methods contain inter-well direct interpolation, curvature, energy and rock failure (two-factor method), seismic, fractal dimension, tectonic stress field numerical simulation and multi-parameter criterion, etc.; each prediction method of reservoir fracture has its own advantage and disadvantage, thus the combination of multiple methods can realize the efficient prediction of reservoir fracture; the key questions of reservoir fracture research contain the fracture distribution prediction and elaborate characterization, fracture dynamic parameters and fracture 3D geological modeling. Finally, reservoir fracture prediction and modeling should be based on confirming the genesis, evolution and primary controlling factors of reservoir fracture in exploration and development of hydrocarbon fields.
参考文献/References:
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相似文献/References:
[1]李荣西,段立志,张少妮,等.鄂尔多斯盆地低渗透油气藏形成研究现状与展望[J].地球科学与环境学报,2011,33(04):364.
LI Rong-xi,DUAN Li-zhi,ZHANG Shao-ni,et al.Review on Oil/gas Accumulation with Low Permeability in Ordos Basin[J].Journal of Earth Sciences and Environment,2011,33(02):364.
备注/Memo
- 备注/Memo:
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收稿日期:2014-11-25
基金项目:国家科技重大专项项目(2011ZX05015-002,2011ZX05046-003)
作者简介:王珂(1987-),男,山东郓城人,工程师,理学博士,E-mail:wangk_hz@petrochina.com.cn。
更新日期/Last Update:
2015-04-02