Numerical modelling of magma convection, volatile degassing and fluid flow in porphyry copper systems: configuration, post-processing and datasets

Porphyry copper deposits form as rare occurrences in magmatic systems by focussed release of metal-rich volatiles from upper-crustal magma reservoirs. Understanding the geological and hydrological processes that control their formation in a quantitative way is important to aid exploration for new hidden deposits to secure mineral resources for the future. We further developed a numerical model to simultaneously capture magma convection, volatile degassing, and fluid flow, using an implementation of the modelling platform CSMP++ and the algebraic multi-grid solver SAMG. In concert with an associated, peer-reviewed scientific publication, which describes and interprets the first results of this coupled numerical model, this data publication provides descriptions of the software components, methodology and model configuration, as well as a suite of unprocessed and processed modelling results. We also provide tables generated from the non-linear material properties used in this model, which can be utilized to extrapolate the outcomes of the study to different sizes and depth ranges of the magmatic intrusion outside of the complex numerical modelling context.

斑岩型铜矿床（Porphyry copper deposit）是岩浆系统中的罕见产出体，由上地壳岩浆储库中富金属挥发分的集中释放形成。以定量方式解析控制其形成的地质与水文过程，对助力寻找新的隐伏矿床、保障未来矿产资源安全具有重要意义。本研究进一步开发了一套数值模型，可同时刻画岩浆对流、挥发分脱气与流体流动过程，采用了建模平台CSMP++的实现方案与代数多重网格求解器SAMG。本数据集出版物配套一篇经同行评议的相关学术论文，该论文阐述并解读了这套耦合数值模型的首批研究结果；本数据集则提供了软件组件、研究方法与模型配置的详细说明，同时附带一系列未处理与已处理的建模成果。此外，本数据集还提供了基于本模型所用非线性材料属性生成的参数表格，可用于在脱离复杂数值建模场景的前提下，将本研究的结果外推至不同规模与深度范围的岩浆侵入体研究场景中。