Applied Research |
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STUDY OF OIL-GAS MODELS OF REMOTE SENSING AND SYNTHETIC PREDICTION OF PROSPECT RANGES |
Xie Qingyun1, Guo defang2, Bao shaohua2, Lan yuqi2 |
1. Ceological Remote Sensing Department, RIPED, Beijing 100083;
2. Zhejiang University, Hangzhou 310027 |
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Abstract It is the synthetical, general, macro and visual Characteristics of remotely sensed image that makes remote sensing technigue a successful way to find oil-gas fields. on the basis of study of the relations between linearment, ring feature, geological structure and the distribution of oil-gas fields, three oilgas prediction models of remote sensing are established in the paper. Using mainly the three models with other geological models, synthetical prediction of oil-gas is made in Jiyang Depression on microcomputer, and some oil-gas prospect ranges are pointed out.The research shows that the method presented here is simple, convient and may lower the cost greatly in oil-gas exploration.
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Keywords
Remote sensing technology
Remote sensing image
Wetland investigation
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Issue Date: 02 August 2011
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[1] 郭德方等.线性体场分析.国土资源遥感, 1993(4):8-16
[2] Katz M.用于矿产勘查的图像线性体分析方法.见杨廷槐译遥感专辑, 北京:地质出版社, 1986.
[3] 许段元, 丁树柏.遥感图像信息处理:北京:宇航出版社, 1990.
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