A multistage algorithm to generate a predictive porphyry intrusion evidential map with low uncertainty for mineral prospectivity mapping, case study in Pariz Area, Iran

IF 2.1 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Journal of Applied Geophysics Pub Date : 2025-02-01 DOI:10.1016/j.jappgeo.2025.105637
Gholam-Reza Elyasi, Abbas Bahroudi, Maysam Abedi
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Abstract

The quest for creating more reliable evidential maps with elevated prediction accuracy and minimal uncertainty remains a formidable challenge in mineral prospectivity mapping (MPM), particularly in the case of covered or concealed deposits. This study introduces a multistage algorithm to generate a predictive porphyry intrusion evidential map using magnetic data. Rooted in the formation model of porphyry copper deposits (PCDs), the algorithm encompasses several key steps: (1) initiating with a radial symmetry transformation to detect circular geological features (i.e., porphyry intrusions), (2) none-minimum suppression of circularity responses and thresholding to identify the center of these features, (3) amplitude contrast transformation to highlight the extent of the features, and finally (4) employing the active contour algorithm to determine the size and geometry of probable porphyry targets. Implemented on aeromagnetic data from the Pariz region in southeastern Iran, the results were evaluated by location of previously known PCDs and 3D Cu isoshells derived from exploratory boreholes. Remarkably, all six known deposits in the area were identified, alongside the discovery of a new porphyry copper deposit, boasting 2847 MT with a copper grade of 0.42 %. Additionally, five new prospective targets that may serve as fertile environments for porphyry mineralization were proposed for further exploration. The results demonstrated that the proposed algorithm significantly enhances MPM of PCDs by effectively narrowing the exploration search space, delineating 20 % (126 of 629 km2) of the study area as prospective targets. Furthermore, the findings indicate that the magnetic signatures of PCDs on the generated map are notably sharper than those on the original reduction to pole map, affirming the algorithm's efficacy in delineating buried porphyry copper deposits.

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一种基于多阶段算法的低不确定性斑岩入侵预测证据图生成方法,以伊朗Pariz地区为例
在矿产勘探测绘中,特别是在覆盖或隐伏矿床的情况下,寻求建立更可靠的证据图,提高预测精度和最小化不确定性仍然是一个巨大的挑战。介绍了一种利用磁资料生成预测斑岩侵入证据图的多阶段算法。基于斑岩铜矿(PCDs)的地层模型,该算法包括以下几个关键步骤:(1)利用径向对称变换初始化检测圆形地质特征(即斑岩侵入);(2)对圆形响应进行非最小抑制和阈值化,识别这些特征的中心;(3)幅度对比变换,突出特征的程度;最后(4)利用主动轮廓算法确定可能斑岩目标的大小和几何形状。利用伊朗东南部Pariz地区的航磁数据,通过探测井眼中已知的PCDs和3D Cu等壳层的位置对结果进行了评估。值得注意的是,该地区所有六个已知矿床都已被确定,同时还发现了一个新的斑岩铜矿床,铜品位为2847公吨,铜品位为0.42%。在此基础上,提出了5个斑岩成矿有利环境的新远景靶区。结果表明,该算法通过有效缩小勘探搜索空间,将研究区域的20% (629 km2中的126 km2)圈定为预期目标,显著提高了pcd的MPM。此外,研究结果表明,生成的pcd图上的磁特征明显比原始还原极图上的磁特征更清晰,证实了该算法在圈定隐伏斑岩铜矿床方面的有效性。
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来源期刊
Journal of Applied Geophysics
Journal of Applied Geophysics 地学-地球科学综合
CiteScore
3.60
自引率
10.00%
发文量
274
审稿时长
4 months
期刊介绍: The Journal of Applied Geophysics with its key objective of responding to pertinent and timely needs, places particular emphasis on methodological developments and innovative applications of geophysical techniques for addressing environmental, engineering, and hydrological problems. Related topical research in exploration geophysics and in soil and rock physics is also covered by the Journal of Applied Geophysics.
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