STATISTICAL PATTERN RECOGNITION AND NEURAL NETWORK PATTERN RECOGNITION OF SEISMIC DATA

doi:10.7623/syxb199702004

Editorial office of ACTA PETROLEI SINICA ›› 1997, Vol. 18 ›› Issue (2): 18-25.DOI: 10.7623/syxb199702004

• Petroleum Exploration • Previous Articles Next Articles

STATISTICAL PATTERN RECOGNITION AND NEURAL NETWORK PATTERN RECOGNITION OF SEISMIC DATA

Dai Juntang, Qian Shaoxin

Research Institute of Petroleum Exploration and Development, Beijing

Received:1996-03-29 Revised:1996-08-22 Online:1997-04-25 Published:2013-07-08

地震资料的统计模式识别和神经网络模式识别

代俊堂, 钱绍新

石油勘探开发科学研究院北京

作者简介:代俊堂.1993年毕业于北京大学技术物理系,获理学硕士学位.现在中国子:油大然气总公司石油勘探开发科学研究院攻读石油地球物理勘探专业的博士学位.通讯处:北京910信箱地球物理所,邮编:100083.
基金资助:
国家自然科学基金,中国科学院,中国石油天然气总公司;大庆石油管理局

Abstract

Abstract: There are two different seismic pattern recognition methods for prediction of hydrocarbon reservoir.One is statistical pattern recognition (SPR),the other is neural network pattern recognition(NNPR).In this paper,both methods are described with special attention to the analysis of decision interfaces.The decision interface of NNPR can be of any complex forms,while SPR can only have some simple decision interfaces,so NNPR is more adaptable than SPR.This conclusion has been proved by two examples.

Key words: pattern recognition, neural network, decision interface, seismic interpretation

摘要： 在油气储集层预测技术中存在着两种不同的地震模式识别方法--统计模式识别和神经网络模式识别.文中详细地描述了上述两种方法,着重在于分析两者决策面的差异,并得出结论：神经网络模式识别的决策面可以是任意复杂的形式,而统计模式识别的决策面只能是有限的几种简单形式;因此神经网络模式识别较统计模式识别具有更大的适应性.通过两个实例证实了上述结论

关键词: 模式识别, 神经网络, 决策面, 地震解释

Dai Juntang, Qian Shaoxin. STATISTICAL PATTERN RECOGNITION AND NEURAL NETWORK PATTERN RECOGNITION OF SEISMIC DATA[J]. Editorial office of ACTA PETROLEI SINICA, 1997, 18(2): 18-25.

代俊堂, 钱绍新 . 地震资料的统计模式识别和神经网络模式识别[J]. 石油学报, 1997, 18(2): 18-25.

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STATISTICAL PATTERN RECOGNITION AND NEURAL NETWORK PATTERN RECOGNITION OF SEISMIC DATA

地震资料的统计模式识别和神经网络模式识别

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