Method and system for intelligently identifying type of moderate acid magmatic rock based on apatite component

The invention discloses a method and a system for intelligently identifying the type of medium-acid magmatic rock based on apatite components, and the method comprises the steps: carrying out the machine learning training of element data contained in apatite in the medium-acid magmatic rock of a known type, and constructing a machine learning model capable of identifying the type of the medium-acid magmatic rock; and the types of the acidic magmatite in magnetite series and the acidic magmatite in ilmenite series are distinguished. The method provides powerful guidance and support for judging acidic magmatic rock types by using apatite element characteristics and guiding regional prospecting and exploration activities, improves the rock type judgment efficiency, more efficiently and accurately classifies source rock types, is beneficial to promoting the geological digitization process, and improves the production and scientific research efficiency. 本发明公开一种基于磷灰石成分智能识别中酸性岩浆岩类型的方法及系统，通过对已知类型的中酸性岩浆岩中磷灰石含有的元素数据开展机