高精度重力在花岗岩型锂矿快速选区中的应用研究
Research on the Application of High-Precision Gravity in Rapid Selection of Granite-Type Lithium Deposits

江西省花岗岩型锂矿资源量大，易于开采，综合利用潜力大。但其家底尚未摸清，因此，有必要对花岗岩型锂矿快速选区展开研究，以指导勘探部署。重力勘探是一种以密度差异为基础的地球物理勘探方法，由于其具有高效、经济等优点，在矿床、油气等靶区选区中得到了广泛地应用。为此，文章在江西省宜春市超大型锂矿田的宜丰圳口里–奉新枧下窝矿区开展重力快速选区研究。在大比例尺重力规范的基础上完成研究区域1:2万重力数据采集与处理，获得了布格重力异常，并且进行延拓、求导和局部异常分离等处理。结合密度测量结果，重力异常与实际勘探结果对比表明，重力异常与研究区的含矿母岩(白水洞岩体)高度吻合，岩体边界可以大致通过垂向二阶导数的0值范围确定。因此，高精度重力勘探在花岗岩型锂矿快速选区中具有很好的效果，具有良好的应用前景。
Jiangxi Province has abundant resources of granite-type lithium deposits, which are easy to mine and have significant potential for comprehensive utilization. However, the full extent of these resources has not yet been fully assessed. Therefore, it is necessary to conduct rapid prospecting studies for granite-type lithium deposits to guide exploration efforts. Gravity exploration is a geophysical prospecting method based on density contrasts. Due to its advantages of efficiency and cost-effectiveness, it has been widely applied in target area selection for mineral deposits, oil, gas, and other resources. To this end, this study conducts rapid gravity prospecting in the Zhenkouli of Yifeng-Jianxiawo of Fengxin mining area within the large-scale lithium deposit field in Yichun, Jiangxi Province. Based on large-scale gravity survey standards, gravity data acquisition and processing at a scale of 1:20,000 were completed for the study area. The Bouguer gravity anomalies were obtained and processed through extension, derivation, and local anomaly separation techniques. By combining density measurement results, a comparison between gravity anomalies and actual exploration outcomes indicates that the gravity anomalies closely align with the ore-bearing bedrock (ηγmK₁^3？zx) in the study area. The boundaries of the intrusion can be roughly determined through the zero-value range of the vertical second derivative. Therefore, high-precision gravity exploration proves to be highly effective for rapid prospecting of granite-type lithium deposits and holds great promise for future applications.