Nnaemeka E.K., Egwuonwu G.N., Egwu E.O.
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摘要

利用波谱分析和建模对Nkalagu和Abakaliki地区的航磁数据进行了解释,以估计沉积厚度的深度、侵入物的性质、磁化率值以及与之相关的矿物类型。对总磁强进行处理,得到剩余磁图,剩余磁图划分为21个重叠块。每个区块都进行了用MATLAB开发的光谱程序图(SPP),以获得到顶边界的深度Zt和到质心的深度Z0。波谱分析显示,地磁顶边界Zt深度为0.77 ~ 2.34 km,至磁基底深度为1.72 km,质心深度为2.22 ~ 5.93 km,平均深度为3.55 km。模拟估计剖面1、2、3、4的深度分别为5 km、1 km、1.68 km和1.32 km,平均深度为2.3 km,磁化率分别为0.002、0.003、0.003和0.003,表明该区存在辉长岩、辉绿岩和石英岩、片岩变质沉积岩的火成岩侵入体,含黄铁矿、褐铁矿、锡石和毒砂等富铁矿物。两种深度估计方法的最大深度分别为2.34 km和5 km,证实了油气成藏的可行性深度。鉴于上述结果,很明显,根据模拟结果所描绘的侵入体的存在说明了该地区的矿化作用,也可能破坏任何存在的碳氢化合物,因为大量侵入体的存在表明了极高的温度历史。
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Geophysical Investigations Inferred from Airborne Potential Field Data of Parts of the Lower Benue Trough in Nigeria
The aeromagnetic data of Nkalagu and Abakaliki areas were interpreted using spectral analysis and modeling to estimate depth to the sedimentary thickness, nature of intrusive, susceptibility values and types of minerals associated with them. The total magnetic intensity was processed to produce the residual magnetic map which was divided into 21 overlapping blocks. Each block was subjected to a spectral program plot (SPP) developed with MATLAB to obtain depths to the top boundary Zt and depth to the centroid Z0. The spectral analysis revealed depths to the top boundary Zt, which is the depth to magnetic basement ranging from 0.77 to 2.34 km with an average value of 1.72 km and the centroid depth ranging between 2.22 and 5.93 km, with an average depth of 3.55 km. The modeling estimated depths of profile 1, 2, 3, and 4 at 5 km, 1 km, 1.68 km and 1.32 km respectively with an average depth of 2.3 km and respective susceptibility values of 0.002, 0.003, 0.003 and 0.003 respectively, indicating the presence of igneous intrusions of gabbro, diabase and metamorphosed sedimentary rocks of quartzite and schist, with iron rich minerals like pyrite, limonite, cassiterite and arsenopyrite. The maximum depth values of 2.34 km and 5 km obtained from the two depth estimation methods confirm feasibility depths for hydrocarbon accumulations. In view of the above results, it is evident that the presence of intrusions delineated from the modeling results accounts for the mineralization in the area and can also destroy any hydrocarbon present since the presence of numerous intrusions are an indication of exceedingly high temperature history.
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