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碳酸盐裂隙油气藏地震特征响应及应用探讨
引用本文:桂志先,段天友,陈遵德,朱广生,宋颖辉.碳酸盐裂隙油气藏地震特征响应及应用探讨[J].物探化探计算技术,2000,22(3):220-222.
作者姓名:桂志先  段天友  陈遵德  朱广生  宋颖辉
作者单位:1. 成都理工学院,四川,成都,610059
2. 江汉石油学院,湖北,沙市,434102
3. 中国新星石油公司,勘探研究院,湖北,434100
摘    要:根据地震特征参数,利用BP网络进行油气预测是一种常用的地球物理方法。作者在此基础上,根据已知裂隙油气藏,通过特征参数优化,在裂隙油气藏中,寻找到一组油气响应较强的地震特征参数,并用这些特征参数进行裂隙油气藏的识别,效果比例用全部地球特征油气识别要好。

关 键 词:地震特征  裂隙油气藏  油气识别
修稿时间:2000-04-07

THE PROBE OF THE RESPONSE OF SEISMIC CHARACTER AND APPLICATION IN THE FRACTURE OIL AND GAS RESERVOIR
GUI Zhi-xian,DUAN Tian-you,CHEN Zun-de,ZHU Guang-sheng,SONG Yin-hui.THE PROBE OF THE RESPONSE OF SEISMIC CHARACTER AND APPLICATION IN THE FRACTURE OIL AND GAS RESERVOIR[J].Computing Techniques For Geophysical and Geochemical Exploration,2000,22(3):220-222.
Authors:GUI Zhi-xian  DUAN Tian-you  CHEN Zun-de  ZHU Guang-sheng  SONG Yin-hui
Abstract:Using BP neural network predicts oil and gas is a common approach in Geophysics. In this paper we piox out some optimums seismic characters in the given oil and gas fracture reservior, and finds out some seismic characters with more response to oil and gas. Then, predicting oil and gas fracture reservoir by this seismic characters, this prior to the result predicting by all seismic characters.
Keywords:seismic character  fracture reservoir  predicting oil and gas
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