揭示世界范围内类金刚岩与斑岩铜矿床之间的联系

IF 3.6 2区 地球科学 Q1 GEOCHEMISTRY & GEOPHYSICS Chemical Geology Pub Date : 2024-12-03 DOI:10.1016/j.chemgeo.2024.122521
Chao Wu, Guoxiong Chen, Huayong Chen
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引用次数: 0

摘要

阿达克岩是地幔和地壳岩浆演化的重要记录者,与主要斑岩型铜矿床密切相关。然而,这些关联的内在机制仍未得到充分阐明。本研究汇编了来自新生代阿达克岩类岩石样本和斑岩铜矿床成矿斑岩的约 7000 个全岩地球化学数据。通过机器学习研究,确定了来自不同造山运动或板块运动系统的阿达克岩类岩石的地球化学变化特征,并研究了与斑岩矿石系统相关岩石的地球化学相似性。主成分分析(PCA)和 t 分布随机邻域嵌入(t-SNE)突出了成熟地壳和幼年地壳中形成的类金刚岩之间的元素差异,以及斑岩型铜钼矿床的岩石与前者的相似性和斑岩型铜金矿床的岩石与后者的相似性。极端梯度提升(XGBoost)和支持向量机(SVM)分析被应用于原始数据集和从该数据集衍生出的 PCA 数据,以区分来自不同地球动力环境的类金刚岩以及斑岩矿床的相关岩石。我们的模型表明,XGBoost 和 SVM 可以高效率、高置信度地识别类金刚岩和斑岩铜系统岩石的构造区域,例如,准确度 = 0.88-0.94 和曲线下面积 (AUC) = 0.69-0.86 。应用 SHapley Additive exPlanations(SHAP)值可阐明区分不同环境的参数,从而深入了解潜在的成岩过程,包括不同程度的形成深度和地幔相互作用的程度。此外,在研究成矿斑岩和类斑岩时,将热图纳入分类学分类(HTC)提供了具有重大地质影响的重要区分因素。这些研究结果表明,潜在的地质过程(例如,含硫化铜积聚物的重熔或附着在气泡上的硫化铜相的浮选)可能会使成矿斑岩的源岩浆富集,超出了造成类斑岩形成的常规地质过程,可作为勘探指标。
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Unraveling the link between worldwide adakite-like rocks and porphyry Cu deposits
Adakite-like rocks, as an important recorder of magmatic evolution in mantle and crust, are closely associated with major porphyry Cu deposits. However, the underlying mechanism connecting these associations remains insufficiently elucidated. This study compiles ca. 7000 whole-rock geochemical data from Phanerozoic adakite-like rock samples and from ore-forming porphyries in porphyry Cu deposits. Machine learning investigations are performed to characterize the geochemical variations of adakite-like rocks from various orogenic or cratonic systems and investigate any geochemical similarities with rocks associated with porphyry ore systems. Principal component analysis (PCA), along with t-distributed Stochastic Neighbor Embedding (t-SNE), highlights elemental distinctions between adakite-like rocks formed in mature and juvenile crust and the similarities of rocks from porphyry CuMo deposits with the former and rocks from porphyry CuAu deposits with the latter. Extreme Gradient Boosting (XGBoost) and Support Vector Machine (SVM) analyses are applied to the original dataset and the PCA data derived from the dataset to discriminate adakite-like rocks from various geodynamic settings from each other and from rocks associated with porphyry ore deposits. Our models show that XGBoost and SVM can identify the tectonic regions of adakite-like rocks and rocks from porphyry copper systems with high efficiency and confidence e.g., accuracy = 0.88–0.94 and area under curve (AUC) = 0.69–0.86. The application of SHapley Additive exPlanations (SHAP) values is employed to elucidate the parameters that discriminate the different environments, providing insight into the underlying petrogenetic processes, including diverse levels of formation depth and extent of mantle interaction. Additionally, when examining ore-forming porphyries and adakite-like rocks, the incorporation of heatmaps into taxonomic classification (HTC) provides significant distinguishing factors with substantial geological implications. These findings suggest potential geological processes (e.g., remelting of Cu-sulfide-bearing cumulates or flotation of Cu-sulfide phases attached to vapor bubbles) that may enrich the source magma of ore-forming porphyries beyond the conventional geological processes responsible for adakite-like rock formation, which could serve as an exploration indicator.
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来源期刊
Chemical Geology
Chemical Geology 地学-地球化学与地球物理
CiteScore
7.20
自引率
10.30%
发文量
374
审稿时长
3.6 months
期刊介绍: Chemical Geology is an international journal that publishes original research papers on isotopic and elemental geochemistry, geochronology and cosmochemistry. The Journal focuses on chemical processes in igneous, metamorphic, and sedimentary petrology, low- and high-temperature aqueous solutions, biogeochemistry, the environment and cosmochemistry. Papers that are field, experimentally, or computationally based are appropriate if they are of broad international interest. The Journal generally does not publish papers that are primarily of regional or local interest, or which are primarily focused on remediation and applied geochemistry. The Journal also welcomes innovative papers dealing with significant analytical advances that are of wide interest in the community and extend significantly beyond the scope of what would be included in the methods section of a standard research paper.
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