| 淡水储层中低阻油气层识别技术 |
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| 引用本文： | 程相志,范宜仁,周灿灿.淡水储层中低阻油气层识别技术[J].地学前缘,2008,15(1):146-153. |
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| 作者姓名： | 程相志 范宜仁 周灿灿 |
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| 作者单位： | 1. 中国石油大学(华东)地球资源与信息学院,山东,东营,257061
2. 中国石油勘探开发研究院,测井与遥感技术研究所,北京,100083 |
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| 基金项目： | 中石油股份公司科技攻关项目 |
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| 摘 要： | 相对于咸水储层的常规电阻率油气层,淡水泥质砂岩储层中的低阻油气层识别难度较大,其成因类型复杂多样,可归纳为5类,即高束缚水、高阳离子交换量、盐水泥浆侵入、砂泥岩间互和油层与水层矿化度的差异,而低阻油气层大多是多成因的。针对多成因低阻油气层,采用交会图、测井新技术、常规测井信息的有效合理分析等方法进行识别,通过合理选取泥质砂岩饱和度模型定量评价。由此确定的淡水储层中低阻油气层识别评价思路,在渤海湾地区的油气勘探中得到了很好应用,而且正在发挥着重要作用,低阻油气层识别评价是一种经济、实用、可靠的勘探开发技术。
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| 关 键 词： | 淡水油藏 低阻油气层 成因类型 自然电位 测井新技术 油气层识别 |
| 文章编号： | 1005-2321（2008）01-0146-08 |
| 收稿时间： | 2007-11-26 |
| 修稿时间： | 2007-12-13 |
Identification technology of low resistivity pays in fresh water reservoir |
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| Cheng Xiangzhi,Fan Yiren,Zhou Cancan.Identification technology of low resistivity pays in fresh water reservoir[J].Earth Science Frontiers,2008,15(1):146-153. |
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| Authors: | Cheng Xiangzhi Fan Yiren Zhou Cancan |
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| Abstract: | In contrast with the conventional-resistivity pay in brine water reservoir, it is more difficult to identify the low-resistivity pay in fresh water reservoir. The genetic type of the low-resistivity pay is complex and various, and five types may be grouped, they are high irreducible water, high cation exchange capacity, brine mud invasion, sand-shale sequence and different salinity in reservoir. Most of the low-resistivity pays are due to multiple genesis. Cross-plot, new log technology, efficiently analyzing the traditional log data and so on are used to recognize the low-resistivity pay, and the quantitative evaluation of low-resistivity pay can be fulfilled by reasonably selecting the shaly sands saturation model. The recognition and evaluation ideas of low resistivity pay in fresh water reservoir have been a well application and are playing important role in exploration and exploitation. Recognition and evaluation technology of low-resistivity pay is an economical, practical and reliable exploration and exploitation technology. |
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| Keywords: | fresh water reservoir low-resistivity pay genetic types spontaneous potential new logging technology pay recognition |
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