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ijs-3621
Application of SEM and Petrographic Studies to Reservoir Characterisation of the Eze-Aku Sandstone (Afikpo Sub-basin), South-eastern Nigeria
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The reservoir characteristics of the Pre-Santonian Eze-Aku sandstone were assessed using an integrated thin section petrography and SEM Back-Scattered Electron (BSE) imaging methods. Fresh outcrop data were collected in the Afikpo area (SE Nigeria). Twenty-eight representative samples from the different localities were analysed to obtain mineralogical and petrographical datasets germane for reservoir characterisation. Thin section petrography indicates that the sandstones are medium-grained, have an average Q90F10L0 modal composition, and are classified as mainly sub-arkose. The sandstones on SEM reveal the presence of cement in the form of quartz overgrowths, authigenic clays and feldspar. From epoxy-stained thin sections and/or SEM BSE image analysis, primary, secondary (inferred from partial to total feldspar dissolution/alteration), and micro- (in authigenic clays) porosity types were identified. Although the development of quartz overgrowths, authigenic clay precipitation, and feldspar dissolution often affect reservoir properties of sandstone negatively, the Eze-Aku sandstones still retained very good reservoir properties (porosity, average 22.7 %; permeability, average 745.43 mD). This can be attributed to the abundance of framework grains that have been stabilized by quartz cement and relatively limited feldspar dissolution. The stabilized framework grains help preserve reservoir characteristics and resist further compaction beyond eogenetic depths. The feldspar dissolution produced silica and aluminium that was precipitated to form the quartz overgrowths and the authigenic clays (e.g., kaolinite), respectively. The relatively concurrent precipitation of silica and aluminium from dissolution products reduces the quartz overgrowth quantity and authigenic clays that could have adversely affected the reservoir characteristics.        

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Publication Date
Tue Jan 30 2024
Journal Name
Iraqi Journal Of Science
Inference for Generalized Inverted Exponential Distribution UnderProgressive Type-I Interval Censored Data
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This article discusses the estimation methods for parameters of a generalized inverted exponential distribution with different estimation methods by using Progressive type-I interval censored data. In addition to conventional maximum likelihood estimation, the mid-point method, probability plot method and method of moments are suggested for parameter estimation. To get maximum likelihood estimates, we utilize the Newton-Raphson, expectation -maximization and stochastic expectation-maximization methods. Furthermore, the approximate confidence intervals for the parameters are obtained via the inverse of the observed information matrix. The Monte Carlo simulations are used to introduce numerical comparisons of the proposed estimators. In ad

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Publication Date
Thu May 28 2020
Journal Name
Iraqi Journal Of Science
Synthetic Aperture Radar Image Classification: a Survey: Survey
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In this review paper, several studies and researches were surveyed for assisting future researchers to identify available techniques in the field of classification of Synthetic Aperture Radar (SAR) images. SAR images are becoming increasingly important in a variety of remote sensing applications due to the ability of SAR sensors to operate in all types of weather conditions, including day and night remote sensing for long ranges and coverage areas. Its properties of vast planning, search, rescue, mine detection, and target identification make it very attractive for surveillance and observation missions of Earth resources.  With the increasing popularity and availability of these images, the need for machines has emerged to enhance t

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