摘要
成矿动力学数值模拟以数学、物理及化学的基本规律为原理,结合实际地质资料,建立定量表征成矿过程的数学模型(数学-物理方程),再利用有限元或有限差分等方法通过计算机的高效计算进行求解,模拟成矿作用动力学过程及其成矿响应,揭示成矿规律并指导找矿。它集合了地质、数学、物理、化学及计算机等多个学科的研究理论与方法,具有鲜明的多学科交叉融合的特点。近年来,在计算科学与数学地质理论与方法快速发展的推动下,成矿动力学数值模拟研究取得了重要研究进展。为此,归纳和梳理了成矿动力学数值模拟的基本理论与方法,对比了目前4种常用的(成矿)数值模拟软件的特点,结合当前开展这方面研究所取得的进展,介绍了近10年来成矿动力学数值模拟的发展与应用现状。得出以下主要结论与认识:(1)多场耦合成矿动力学数值模拟是当前能够重现大尺度复杂成矿过程的唯一可行方法,随着高性能计算技术与非线性动力学理论的快速发展与日趋完善,它已成为现代数学地球科学的研究热点和发展方向之一,是揭示成矿机制及获取矿产勘查信息的重要手段,具有很大的发展潜力;(2)成矿动力学数值模拟目前仍存在模拟参量不确定、多场过程耦合不完全等局限性,是其未来的发展重点,当前已有很多研究致力于破解这方面的难题;(3)在大数据驱动科学研究的新范式下,成矿动力学数值模拟与机器学习方法相结合,可以有效地反演成矿作用过程并进行矿产定量预测,是成矿动力学数值模拟方法在矿床成因与矿产勘查领域应用研究的重要突破口。理清了成矿动力学数值模拟的基本方法与关键难题,明确了成矿动力学数值模拟对促进矿床成因与勘查研究的重要作用,阐述了成矿动力学数值模拟发展的前缘方向,为成矿动力学计算模拟研究提供了基础指导。
Based on geological surveys and experimental data,numerical modeling of metallogenic dynamics(NMMD)establishes a mathematical model(mathematical-physical equation)that quantitatively characterizes metallogenic processes using the basic laws of mathematics,physics and chemistry.Then,using the finite element or finite difference method,the model is built through efficient computer calculation,simulating the metallogenic dynamic process and its metallogenic response,revealing metallogenic law and guiding prospecting.NMMD integrates theories and methods of geology,mathematics,physics,chemistry,computers and other disciplines and has distinct characteristics of interdisciplinary integration.In recent years,driven by the rapid development of computational science and mathematical geology,important progress has been made in NMMD.This paper summarizes the basic theories and methods of NMMD,compares the characteristics of four metallogenic numerical simulation software programs,and introduces the development and application status of NMMD with progress of the author′s team in the past decade.The main conclusions and understandings are as follows:①Multi-field coupled metallogenic dynamics numerical simulation is the only feasible method to reproduce the large-scale complex metallogenic process.With the rapid development and improvement of high-performance computing technology and nonlinear dynamics theory,it becomes one of the research hotspots and development directions of modern mathematical geoscience.It is important to reveal the metallogenic mechanism and obtain mineral exploration information,which has great potential for development;②At present,there are some limitations in NMMD,such as uncertain simulation parameters and incomplete coupling of multifield processes,which will be the focus of its future development.Numerous studies have been devoted to solving these problems;③Under a new paradigm of scientific research driven by big data,a combination of NMMD and machine learning can effectively invert the metallogenic process and quantitatively predict mineral resources.This method is an important breakthrough in the application of NMMD in deposit genesis and mineral exploration.This paper clarifies the basic methods and key problems of NMMD in promoting the study of deposit genesis and exploration,and expounds the frontier direction of NMMD,which provides basic guidance for the study of computational modeling of metallogenic dynamics.
作者
陈伟林
肖凡
Chen Weiling;Xiao Fan(a.School of Earth Sciences and Engineering,Sun Yat-sen University,Zhuhai Guangdong 519000,China;Guangdong Provincial Key Laboratory of Geological Process and Mineral Resource Exploration,Sun Yat-sen University,Zhuhai Guangdong 519000,China;Guangdong Provincial Key Lab of Geodynamics and Geohazards,Sun Yat-sen University,Zhuhai Guangdong 519000,China;Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai),Zhuhai Guangdong 519000,China)
出处
《地质科技通报》
CAS
CSCD
北大核心
2023年第3期234-249,共16页
Bulletin of Geological Science and Technology
基金
国家重点研发计划青年科学家项目(2021YFC2900300)
国家自然科学基金项目(41872245)
广东省基础与应用基础研究基金项目(2020A1515010666)。
关键词
成矿动力
数值模拟
软件技术
研究进展
metallogenic dynamic
numerical simulation method
software technology
application
