Pore size characterization of Cretaceous ironstone by low-field nuclear magnetic resonance technique

A.A. Ige-Adeyeye , O.B. Olatinsu , V.C. Ozebo , L. Esteban
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Abstract

The microstructure of Cretaceous ironstone samples of Yewa within Eastern Dahomey Basin in Southwest Nigeria, has been investigated using low-field nuclear magnetic resonance and conventional porosity measurements. The aim was to evaluate the porosity and pore structure for heat flow consideration in blast furnace or rotary kiln. A total of eighteen iron core samples were analyzed using: X-ray fluorescence (XRF) spectroscopy to determine the percentage composition of iron content; water imbibition porosity (WIP) from dry and saturated sample weights; and low-field nuclear magnetic resonance (NMR) measurements at full water saturation for pore structure and pore size distribution. The average percentage by weight of iron content in the samples is 55 %. Porosity and water content from NMR and WIP shows high degree correlation of 79 % and 97 %, respectively with average porosities from both procedures given as 22.06 pu. and 21.96 pu., respectively. The NMR-T2 distributions depict multimodal pore system with high degree of connectivity. The transverse relaxation time ranges have been classified into three regions: micropores, 0.3162–0.5012 ms, mesopores, 19.95–84.28 ms and macropores, 199.5–2117 ms, respectively. Using an established average surface relaxivity value (338 µms−1) for haematite, the logarithmic mean of pore radius was estimated from the pore size distributions with values of 0.3098 µm, 33.57 µm and 733.3 µm, for micropores, mesopores and macropores, respectively. The strong pore connectivity demonstrated by the NMR-T2 distribution, porosity values, and pore geometry all provide strong evidence that the iron ore samples from the study site will maximize heat and gas flow, improve reducibility and increase process efficiency in a rotary kiln or blast furnace. These findings provide valuable insights into the petrophysical characteristics of Yewa iron ores, thereby enhancing our understanding of its potential applications in the mining and ore processing industries.

Abstract Image

用低场核磁共振技术表征白垩纪铁矿的孔隙大小
利用低场核磁共振和常规孔隙度测量技术,研究了尼日利亚西南部东达荷美盆地Yewa白垩纪铁石样品的微观结构。目的是评价高炉和回转窑热流条件下的孔隙率和孔隙结构。共对18个铁芯样品进行了分析:x射线荧光(XRF)光谱法测定铁含量的百分比组成;干样和饱和样的吸水孔隙度(WIP);低场核磁共振(NMR)全含水饱和度下的孔隙结构和孔径分布。样品中按重量计的平均铁含量百分比为55%。核磁共振和WIP的孔隙度和含水量的相关性分别为79%和97%,两种方法的平均孔隙度为22.06 pu。21.96磅。,分别。核磁共振- t2分布描述了具有高度连通性的多模态孔隙系统。横向弛豫时间范围分为微孔(0.3162 ~ 0.5012 ms)、中孔(19.95 ~ 84.28 ms)和大孔(199.5 ~ 2117 ms)三个区域。利用已建立的赤铁矿平均表面弛豫值(338µms−1),从微孔、中孔和大孔的孔径分布分别为0.3098µm、33.57µm和733.3µm,估算出孔隙半径的对数平均值。核磁共振- t2分布、孔隙度值和孔隙几何形状所显示的强孔隙连通性都有力地证明,研究地点的铁矿石样品将最大化热量和气体流动,改善还原性,提高回转窑或高炉的工艺效率。这些发现为了解叶洼铁矿的岩石物理特征提供了有价值的见解,从而增强了我们对其在采矿和矿石加工行业中的潜在应用的认识。
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