物探化探计算技术2026，Vol.48Issue(3)：337-349,13.DOI:10.12474/wthtjs.20260429-0003
地球物理地球化学勘探计算技术的智能化之路
The leapfrog development of intelligent computing techniques in geophysical and geochemical exploration:a review from Computing Techniques for Geophysical and Geochemical Exploration
摘要
Abstract
The rapid development of big data and artificial intelligence technologies has profoundly reshaped the research paradigm of computing techniques in geophysical and geochemical exploration in past decade.Computational Technology in Geophysical and Geochemical Exploration is an academic journal specializing in a domestic field,profoundly documenting the process of intelligent transformation.It is one of the pioneering academic journals that has actively participated in and promoted research on big data and intelligent technology applications in geosciences over the past decade.Based on literature published in the journal Computing Techniques for Geophysical and Geochemical Exploration from 2016 to 2026,this paper systematically reviews the ten-year evolution of intelligent development in geophysical and geochemical exploration computing.First,it elaborates on the introduction and application of big data mining techniques,including seismic attribute fusion,data dimensionality reduction,and association rule mining.Second,it analyzes the introduction and development of machine learning algorithms,focusing on the application progress of algorithms such as support vector machines and random forests in reservoir prediction,landslide susceptibility assessment,and geochemical anomaly identification.Third,it systematically reviews the breakthrough applications of deep learning algorithms,covering convolutional neural networks,U-Net and its variants,Transformers,autoencoders,and generative adversarial networks.Fourth,it introduces the adoption pathways of other cutting-edge algorithms,including genetic algorithms,particle swarm optimization,reinforcement learning,and transfer learning.Finally,it discusses the current challenges,such as data scarcity,poor model interpretability,and insufficient generalization capability,and looks forward to future development directions,including multimodal fusion,physics-informed neural networks,and large models.This paper aims to provide a systematic reference for the intelligent transformation of computing techniques in geophysical and geochemical exploration.关键词
地球物理探查/地球化学探查/地球科学智能/大数据挖掘/机器学习/深度学习Key words
geophysical exploration/geochemical exploration/geoscience intelligence/big data mining/machine learning/deep learning分类
天文与地球科学引用本文复制引用
周永章,曹礼刚..地球物理地球化学勘探计算技术的智能化之路[J].物探化探计算技术,2026,48(3):337-349,13.基金项目
重点研发计划项目(2022YFF0800101) （2022YFF0800101）
国家自然科学基金项目(U1911202) （U1911202）
内蒙古自治区"揭榜挂帅"项目(2025KJTW0020) （2025KJTW0020）
