尼日利亚中北部Nupe盆地Agbaja组古环境重建及鲕粒铁矿填图:沉积学和航磁分析的启示

Saka Adelayo Opeloye , John Olurotimi Amigun , Sherif Olumide Sanusi , Olujide Alabi
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引用次数: 4

摘要

本研究重点研究了Nupe盆地Lokoja地区Agbaja组沉积学和航磁特征,建立了该区沉积沉积史,并绘制了鲕粒铁矿带。采集了40个砂岩样品,进行了粒度、沉积相和岩石学分析,重建了阿格巴贾铁矿组的沉积过程。利用航磁资料分析,绘制了该区鲕状铁矿富集区。阿格巴哈铁石组富铁砂岩以鲕状铁石、铁石凝块和红土的形式赋存。二元粒度图和多元判别分析表明,92%的砂岩在河流作用下沉积于海滩和海岸沙丘,8%的砂岩在波浪作用下沉积于海洋环境。石英-长石岩屑(QFL)三元图和古流分析表明,成熟的亚黑砂岩起源于克拉通内部(Abakaliki隆升)。在地层中细粒砂岩上,蛇形草洞和人字洞的生物扰动和再活化作用是观测到高磁场强度的原因之一。二维源参数图像的高磁特征(- 94.784 ~ 1.191 nT)、分析信号峰值和深度水平是本研究产出鲕状铁矿远景图的基础。
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Palaeoenvironmental reconstruction and oolitic ironstone mapping of the Agbaja Ironstone Formation in the Nupe Basin, North-central Nigeria: Insights from sedimentological and aeromagnetic analyses

This study focusses on the sedimentological and aeromagnetic characteristics within the Agbaja Ironstone Formation to establish the sedimentary depositional history and map oolitic ironstone zones in the Lokoja district of the Nupe Basin. Forty sandstone samples were collected for granulometric, sedimentary facies and petrographic analyses to reconstruct depositional processes of the Agbaja Ironstone Formation. Aeromagnetic data analysis was engaged to map the oolitic ironstone rich zones. The iron-rich sandstones in the Agbaja Ironstone Formation occur as oolitic ironstone, ironstone concretion and laterites. The bivariate grain size plots and multivariate discriminant analyses suggest that 92% of the sandstone in the formation were deposited in beach and coastal dunes under fluvial-river actions, while 8% are of the marine environment deposited under wave actions. The quartz-feldspar lithic (QFL) ternary diagram and palaeocurrent analyses of the samples revealed that the matured, sub-arkosic sandstones originated from the cratonic interior (Abakaliki uplifts). The bioturbation and reactivation by Ophiomorpha burrows and herringbone on the fine-medium grained sandstones in the formation contributed to the observed high magnetic intensity values. High magnetic signatures (−94.784 to 1.191 nT), analytic signal peaks and depth levels from the 2-D source parameter images are the basis for the produced oolitic ironstones prospectivity map in this study.

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