Integrated pore size and grain size characterization of geomaterials from Ewekoro, Eastern Dahomey Basin

Olawale Babatunde Olatinsu , Mathew Osaretin Ogieva , Kehinde Saheed Ishola , Amidu Abiola Ige-Adeyeye
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Abstract

The pore and grain size of rocks and geomaterials are very crucial factors in evaluating their usefulness in industrial productions, geological and petrophysical assessments, geotechnical engineering projects and environmental studies. The study techniques include low field NMR measurements via CPMG pulse sequence on fully saturated disc-shaped samples and grain size analysis on sample fragments. NMR Relaxation curves were inverted via conventional regularized least-squares inversion routine to generate pore size distribution (PSD). Grain size analysis using sieve method was based on grain size distribution (GSD) and statistical parameters (mean (Mz), sorting (σi), skewness (SKi), and kurtosis (KG)). PSD depicts the presence of micropore and mesopores in all samples, with macropores detected only in limestone. All samples manifest well connected multiple peak pore systems. Sandstone and glauconite samples exhibit bimodal PSD. PSD for Limestone samples is trimodal which is a manifestation of a more complex pore system common in carbonate rocks mainly due to the composition of grains, matrix and cement. Mz values reveal more of medium/coarse grain composition across samples, implying an intermediate to high energy depositional environment. σi values indicate poor to medium sorting which reveals that the rock sediments were likely deposited in fluvial-continental environments. KG values are a mix of mesokurtic, leptokurtic and platykurtic, indicating a combination of depositional environments. Observed spread in skewness values also corroborates the diverse nature of sediment transport for rock formation and existence of mixed or transitional environment.

Abstract Image

达荷美盆地东部Ewekoro地区岩土体孔隙及粒度综合表征
岩石和地质材料的孔隙和粒度是评价其在工业生产、地质和岩石物理评价、岩土工程项目和环境研究中的用途的非常关键的因素。研究技术包括利用CPMG脉冲序列对完全饱和的圆盘状样品进行低场核磁共振测量和对样品碎片进行粒度分析。利用常规正则化最小二乘反演方法反演核磁共振弛豫曲线,得到孔隙尺寸分布。粒度分析采用筛分法,基于粒度分布(GSD)和统计参数(均数(Mz)、分选(σi)、偏度(SKi)、峰度(KG))。PSD描述了微孔和中孔在所有样品中的存在,大孔仅在石灰石中检测到。所有样品均表现出连接良好的多峰孔隙系统。砂岩和海绿石样品呈现双峰PSD。石灰石样品的PSD为三峰型,这是碳酸盐岩中常见的更复杂的孔隙系统的表现,主要是由于颗粒、基质和胶结物的组成。Mz值更多地揭示了样品的中/粗颗粒组成,暗示了中至高能量的沉积环境。σi值表明分选差至中等,表明岩石沉积物可能沉积于河流-陆相环境。KG值为中斑岩、细斑岩和扁斑岩的混合值,反映了沉积环境的组合。观测到的偏度值的分布也证实了岩层输沙的多样性和混合或过渡环境的存在。
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