神经网络在勘探地球物理的应用  

Application of Neural Network in Exploration Geophysics

作　　者：王斯昊 何兰芳[1] 李亮 Wang Sihao;He Lanfang;Li Liang(Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing,100029,China)

机构地区：[1]中国科学院地质与地球物理研究所,北京100029

出　　处：《新疆地质》2022年第1期73-77,共5页Xinjiang Geology

摘　　要：随着地球物理数据和地质信息的不断积累,神经网络作为一种数据驱动的建模工具在地球物理中的应用越来越广泛,在数据预处理和图像识别等方面表现出色。为了梳理神经网络在勘探地球物理的应用现状与发展趋势,本文回顾了神经网络的发展历程、基本原理和主要技术框架,总结了神经网络在勘探地震、电磁法、重磁勘探中的应用,同时分析了神经网络的优势与不足。神经网络在地球物理中的可行性已被学者们广泛认可,但在实际应用中仍然存在一系列难题有待深入探索。With the development of the geophysical and geological computing,neural network,a data-driven modeling tool,has been widely used in geophysics.Great progress has been made in geophysical data processing and image recog-nition based on neural network.We briefly reviews the state of the art and the way ahead of the neural network and its apllication in geophysics in this paper.The development history,basic principles and main technical framework of neural network,summarizes the application of neural network in exploration seismic,electromagnetic,gravity and magnetic ex-ploration are presented.The advantages and disadvantages of neural network are discussed.The feasibility of neural net-work in geophysics has been widely recognized by scholars,but there are still a series of problems to be further explored in practical application.

关 键 词：神经网络 地球物理勘探 应用进展 发展趋势 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] P613[自动化与计算机技术—控制科学与工程]