| 测井曲线剩余变化的分维描述火成岩裂缝发育情况 |
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| 引用本文： | 潘保芝,李舟波,石雨田.测井曲线剩余变化的分维描述火成岩裂缝发育情况[J].吉林大学学报(地球科学版),2002,32(4):399-402. |
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| 作者姓名： | 潘保芝 李舟波 石雨田 |
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| 作者单位： | 1. 吉林大学地球探测科学与技术学院,吉林,长春,130026
2. 中国地质大学地球物理与信息技术学院,北京,100083 |
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| 基金项目： | 中国科学院资助项目;498894190-4; |
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| 摘 要： | 大庆深层火成岩段岩性复杂，偿仅具有从基性到酸性的各种熔岩，还包括不同喷发期次的凝灰岩。岩性变化是影响各种测井曲线响应特征变化的最主要因素。裂缝的响应往往被岩性的影响所淹灭。为此从测井曲线中提取分维来描述裂缝发育程度，必须考虑岩性的影响。为了消除岩性的影响，对分辨率较高且对裂缝反映灵敏的微球形聚焦测井曲线进行滤波处理，获得原始曲线与滤波曲线间的剩余变化，再从中提取分维，从而突出裂缝的影响。实际处理表明，从剩余曲线中提取的分数维，比从原始测井曲线中提取的分维能更好地指示出复杂火成岩地层裂缝发育情况。
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| 关 键 词： | 火成岩 裂缝 测井数据处理 分维 油气勘探 |
| 文章编号： | 1671-5888(2002)04-0399-04 |
| 修稿时间： | 2002年3月25日 |
CHARACTERIZING FRACTURE INTENSITY OF IGNEOUS FORMATIONS BY FRACTAL DIMENSION OF RESIDUAL VARIATION OF LOGS |
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| PAN Bao zhi ,LI Zhou bo ,SHI Yu tian.CHARACTERIZING FRACTURE INTENSITY OF IGNEOUS FORMATIONS BY FRACTAL DIMENSION OF RESIDUAL VARIATION OF LOGS[J].Journal of Jilin Unviersity:Earth Science Edition,2002,32(4):399-402. |
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| Authors: | PAN Bao zhi LI Zhou bo SHI Yu tian |
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| Institution: | PAN Bao zhi 1,LI Zhou bo 1,SHI Yu tian 2 |
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| Abstract: | The lithology of igneous rocks of Daqing area is so complicated that not only basic to acidic lavas were drilled, but also tuffs erupted in different times. The change of lithology is the main factor for the variation of various log responses. The log responses of fractures in the formations are usually glossed over by the lithology effect. The micro spheric focus log (MSFL), which has higher vertical resolution and is sensitive to the fractures in formation, is used to derive fractal dimension. In order to describe the fracture intensity quantitatively, it is necessary to take lithology into account when deriving fractal dimension from logs. After filtering and subtracting the filtered log from original one, the residual variation curve is obtained. The fractal dimension curve is derived from the residual variation curve to reduce the lithology effect, thus the fracture effect will be enhanced. The processing of real log data shows that the fractal dimension curve from residual variation indicates fracture intensity better than from the original logs. |
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| Keywords: | igneous formations fracture intensity log data procession fractal dimension |
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