Multi-scale exploration of giant Qulong porphyry deposit in a collisional setting
Multi-scale exploration of giant Qulong porphyry deposit in a collisional setting
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DOI：
10.1016/j.oregeorev.2021.104455
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发表时间：
2021-12
影响因子：
3.3
通讯作者：
Zehua Han;Rui Wang;X. Tong;Fei Sun;Yuyao Li;Siyu Liu;Qingwen Xue
中科院分区：
文献类型：
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作者：
Zehua Han;Rui Wang;X. Tong;Fei Sun;Yuyao Li;Siyu Liu;Qingwen Xue
随着铜矿资源需求的日益增长，以已发现斑岩铜矿为基础的隐伏矿体找矿方法显得尤为重要。单一的参数已经不能有效地对抗隐伏矿床的勘探，需要不同的调查技术组合。曲龙斑岩铜钼矿床是中国发现的最大的碰撞岩铜钼矿床。在这里，我们评估了多个参数的变化与蚀变之间的关系，以确定斑岩铜中心周围的勘探足迹。为了提高勘探效率和精度，我们将物探方法(磁化率和电阻率)与目前流行的化探方法(短波红外光谱-SWIR、便携式X射线荧光-pXRF和指示矿物)相结合，对藏南曲龙PCD ZK005钻孔进行了严格的解释。在对曲龙矿床的研究中，建立了四个矿体标志：(1)钙/钾、镁/铁、锶/钛、硅/铝比值的波动；(2)长波白云母(2207-2214 nm)和短波绿泥石(2247-2253 nm)；(3)亚高磁化率；(4)低电阻率。多尺度找矿方法可以提高找矿效率，缩小靶区范围。根据当地环境，选择合适的方法组合，可以以较低的成本提高棕地的勘探效率。
With the increasing demand for copper resources, exploration methods based on the discovered porphyry Cu deposits (PCDs) to target concealed orebodies are of greater importance. Single parameter is no longer sufficiently effective against concealed deposit exploration, and different combinations of survey techniques are required. The Qulong porphyry Cu-Mo deposit is the largest collisional PCD found in China. Here we evaluated the relationship between variations in multiple parameters and alteration to define exploration footprints around the porphyry Cu centers. In order to improve the exploration efficiency and accuracy, we combined geophysical (magnetic susceptibility and resistivity) and popular geochemical exploration methods (i.e., short wavelength infrared spectroscopy- SWIR, portable X-ray fluorescence- pXRF, and indicator minerals) to the drill hole ZK005 of Qulong PCD in southern Tibet seeking for a firm interpretation. Four orebody indicators were established in study of Qulong deposit, which are: (i) the fluctuations of Ca/K, Mg/Fe, Sr/Ti, and Si/Al ratios, (ii) long-wavelength white mica (2207–2214 nm) and short-wavelength chlorite (2247–2253 nm), (iii) sub-high magnetic susceptibility and (iv) low resistivity. Multi-scale prospecting methods can improve prospecting efficiency and narrow down the target area. Based on the local environment, selecting an appropriate combination of methods can improve exploration efficiency in the brownfields at a lower cost.