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Quantitative Geoscience and geological big data Development： A Review

Acta Geologica Sinica(English Edition) 2016年第4期90卷 1490-1515页

作者： CHEN Jianping XIANG Jie HU Qiao YANG Wei LAI Zili HU Bin WEI Wei School of Earth Sciences and Resources China University of Geosciences Beijing 100083 Beijing Land and Resources Information Research and Development Key Laboratory Beijing 100083

After long-term development, mathematical geology has today become an independent discipline. big data science, which has become a new scientific paradigm in the 21st century, gives rise to the geological big data, i.e. mathematical geology and quantitative geoscience. Thanks to a robust macro strategy for big data, China＇s quantitative geoscience and geological big data＇s rapid development meets present requirements and has kept up with international levels. This paper presents China＇s decade-long achievements in quantitative prediction and assessment of mineral resources, geoscience information and software systems, geological information platform development, etc., with an emphasis on application of geological big data in informatics, quantitative mineral prediction, geological environment and disaster management, digital land survey, digital city, etc. Looking ahead, mathematical geology is moving towards ＂Digital Geology＂, ＂Digital Land＂ and ＂geological Cloud＂, eventually realizing China＇s grand ＂Digital China＂ blueprint, and these valuable results will be showcased on the international academic arena.

关键词： mathematical geology big data geological big data digital land

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A study on geological structure prediction based on random forest method

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Artificial Intelligence in Geosciences 2022年第1期3卷 226-236页

作者： Zhen Chen Qingsong Wu Sipeng Han Jungui Zhang Peng Yang Xingwu Liu School of Earth Sciences and Resources China University of Geosciences(Beijing)Beijing100083China Applied Geology Research Center China Geological SurveyChengdu610036China

The Xingmeng orogenic belt is located in the eastern section of the Central Asian orogenic belt,which is one of the key areas to study the formation and evolution of the Central Asian orogenic *** present,there is a huge controversy over the closure time of the Paleo-Asian Ocean in the Xingmeng orogenic *** of the reasons is that the genetic tectonic setting of the Carboniferous volcanic rocks is not *** to the diversity of volcanic rock geochemical characteristics and its related interpretations,there are two different views on the tectonic setting of Carboniferous volcanic rocks in the Xingmeng orogenic belt:island arc and continental *** recent years,it is one of the important development directions in the application of geological big data technology to analyze geochemical data based on machine learning methods and further infer the tectonic background of *** paper systematically collects Carboniferous basic rock data from Dongwuqi area of Inner Mongolia,Keyouzhongqi area of Inner Mongolia and Beishan area in the southern section of the Central Asian Orogenic *** forest algorithm is used for training sets of major elements and trace elements in global island arc basalt and rift basalt,and then the trained model is used to predict the tectonic setting of the Carboniferous magmatic rock samples in the Xingmeng orogenic *** prediction results shows that the island arc probability of most of the research samples is between 0.65 and 1,which indicates that the island arc tectonic setting is more *** this paper,it is concluded that magmatism in the Beishan area of the southern part of the Central Asian Orogenic belt in the Early Carboniferous may have formed in the heyday of subduction,while the Xingmeng orogenic belt in the Late Carboniferous may have been in the late subduction stage to the collision or even the early rifting *** temporal and spatial evolution shows that the subduction of the Paleo-Asian Ocean is

关键词： geological big data Basic rock Tectonic environment discrimination Random forest

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Comparative study of big data of global adakites and mineralization-related granite in the Geza arc metallogenic belt, northwest Yunnan, Southwest China

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big Earth data 2018年第3期2卷 268-281页

作者： Liu Xuelong Li Wenchang Zhang Qi Zhang Na Zhang Changzhen Luo Ying Wang Shuaishuai Yang Fucheng Chen Jianhang Li Zhenhuan Faculty of Land and Resource Engineering Kunming University of Science and TechnologyKunmingChina Key Laboratory of geological Information Technology Ministry of Natural Resources of the People’s Repbulic of ChinaBeijingChina Chengdu geological Survey Center China Geological SurveyChengduChina Institute of Geology and Geophysics Chinese Academy of SciencesBeijingChina

The Geza arc is an important part of the Sanjiang tectono-magmatic belt and is a newly discovered copper polymetallic ore concentration area in northwest Yunnan province,Southwest *** area comprises numerous metal ore deposits,including one super-largedeposit,three large deposits,*** formation of these deposits was closely related to intermediate–acidic magmatic *** on previous studies,the“big data”analysis technique was used for a comparative study of large geochemical datasets of granite related to ore-formation in the Geza porphyry copper deposit and global *** a result,1313 element combinations and 127,765 overlap ratios were *** results show that the Geza porphyry has similar geochemical characteristics to global adakites(the ratios of REE and Ga to major elements are in the range of global adakites).However,theCu,Mo,and Zn contents of the porphyry are significantly higher than those of global adakites,and the porphyry may,therefore,represent an end-member of the global range of adakite *** addition,the geochemistry of adakites associated with the porphyry copper deposits overlaps in part with that of global adakites,although most of the data lie outside of the range of global adakites(***/Cu,Sr/Cu,Na/Cu,and Zr/Cu values,and high Th/Cu,Ba/Cu,Na/Mo,Rb/Mo,Th/Mo,Ta/Mo,Ba/Mo,Mn/Zn,and Ba/Znvalues).The samples with characteristics that deviate significantly from the geochemistry of global adakites show more advanced mineralization and alteration,and a stronger relationship with Cu and *** results of geochemical data mining can be used as a prospecting indicator,and provide a new scientific basis for geological prospecting of the deep levels and per-iphery of the Geza Cu polymetallic ore belt.

关键词： Porphyry Cu deposit granite adakite geochemistry confidence ellipses overlapping ratio geological big data Sanjiang area

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Delineation of Prospecting Prospect Area Based on Maximum Entropy Model

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Journal of Geoscience and Environment Protection 2023年第11期11卷 27-40页

作者： Zhen Chen Lianwu Shi School of Earth Sciences and Resources China University of Geosciences (Beijing) Beijing China China geological Survey Natural Resources Integrated Survey Command Center Beijing China

Taking the Dapingzhang copper-polymetallic deposit in Yunnan Province, China as the research object, the maximum entropy model was used to extract the mining information, and the mineral resource prediction model was established by using the exploration data of the deposit and related regions in this area, so as to determine the prospecting prospect area in the study area. In this paper, the Jacknife analysis module of maximum entropy model is used to quantitatively rank the importance of 39 geochemical element variables, and finally obtain the prospecting prospect map of the study area. The research results show that the Dapingzhang mining area has the potential to find hidden ore in the deep and surrounding areas, and the northern and southern ends and western sides of the rock ore control structural belt in the eastern region of the mining area have good prospecting prospects. The research results provide an important basis for the deployment of follow-up exploration work in the study area, and the maximum entropy model has a good application effect in mineral resources exploration.

关键词： Target Area Demarcation Peripheral and Deep Exploration Maximum Entropy Exploration and Prediction geological big data

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