A novel fusion Python application of data mining techniques to evaluate airborne magnetic datasets

Depths to the various subsurface anomalies have been the primary interest in all the applications of magnetic methods of geophysical prospection. Depths to the subsurface geologic features of interest are more valuable and superior to all other properties in any correct subsurface geologic structural interpretations. The varied nature of the subsurface geological terrains in the study area as obtained from the data, were delineated from the enhanced georeferenced airborne magnetic datasets with the primary objective of enhancing the signatures of the subsurface structural and lithologic boundaries associated with joints; major and minor faults, rock contacts and fractures underained the Omu-aran schist belt zone. About 343,982 enhanced georeferenced data points, made up of 100 m interspacing between the data points utilising the 3x3 window size were used to suitably map the region across the land area of about 30,568.7 km2. Six structural index values varied from between 0.5-3.0 were delineated with a maximum depth to the magnetic source rocks bodies at about 1.277 km.

在地球物理勘探磁法勘探（magnetic methods of geophysical prospection）的各类应用中，地下异常体的埋深始终是核心关注目标。在任何合理的地下地质构造解释中，目标地下地质特征的埋深，其价值与优越性均远超其他所有物性参数。本次研究以增强奥穆-阿兰片岩带（Omu-aran schist belt zone）下与节理、主次断层、岩性接触带及裂缝相关的地下构造与岩性边界信号为核心目标，通过增强处理后的地理参考航空磁测数据集（georeferenced airborne magnetic datasets），圈定出研究区内复杂多样的地下地质地貌单元。本次研究采用3×3窗口尺寸、数据点间距为100米的处理方案，共使用约343982个增强地理参考数据点，对面积约30568.7平方千米的陆地区域完成了精准制图。本次研究共圈定出6组取值范围为0.5~3.0的构造指数（structural index），磁性源岩体（magnetic source rocks bodies）的最大埋深约为1.277千米。