Improved fluid detection and lithology discrimination using rock properties and attributes cross plots have been attempted using well log data in an Onshore Niger Delta field. Rock properties and attributes were extracted using empirical rock physics models on well logs and used to validate their potentials as pore fluid discriminants. These rock properties and attributes were cross plotted for the primary purpose of investigating their sensitivity to fluid and lithology in cross plot space. V p and V s logs were derived from the inverse of interval transit times of sonic and dipole shear logs respectively. V p /V s ratio, acoustic impedance and porosity were derived from V p , V s and density logs using appropriate relations. The identified depth of reservoir of interest (A2) for Well A and B ranges from 5842 ft to 5964 ft and 5795 ft to 5936 ft respectively. The properties cross plotted comprise V p vsV s, V p /V s vsI p , V p /V s vs Porosity, V p /V s vs Density and V p vs Density. V p vs Density cross plot revealed that the reservoir consists of sand lithology with intercalated shale. V p vsV s shows a linear relationship and does not discriminate fluid in the reservoir. V p /V s ratio vsI p distinguish A2 into hydrocarbon, brine and shale zones. V p /V s ratio vs density and porosity crossplots distinguishes the A2 into gas, oil, brine and shale zones. The analysis validates the fact that V p /V s ratio and their combinations cross plots are more sensitive and robust for fluid discrimination. It also reveals that the ratio of V p /V s is more sensitive to change of fluid type than the use of V p or V s separately.
The effluence of Agbarho abattoir wastes and animals’ dung on near surface groundwater quality was geoelectrically investigated using 2-Dimensional Electrical Resistivity by engaging Wenner array configuration using PASI-16GL Terrameter. Four traverses of lateral distance of 50m with 2.5m electrode spacing were gotten from the study area and the acquired data was processed and inverted using RES2DINV software so as to delineate the trend of migration of contaminants. Borehole-water samples were collected within the study area for both physiochemical and microbiological analyzes while the depth of aquifer (groundwater) was determined by employing Vertical Electrical Sounding (VES). The 2-Dimensional Inversion model for traverse 1 and 2 revealed a low resistivity value of 0.445Ωm and 2.53Ωm respectively and this occurred at the top soil. Also, the low resistivity value of 0.319Ωm in traverse 3 was indicated in the second layer at the lateral distance between 15m to 35m and at the depth of 6.22m. The model in traverse 4 revealed low resistivity value of 0.374Ωm from the top layer down to the fourth layer at the depth of 9.8m. These low resistivity values indicate high conductivity of bacterial and algae of the animal waste and this can be attributed to the presence of suspected contaminants plume of the abattoir. The depth of aquifer revealed by Vertical Electrical Sounding was 8.9m which is in third layer and the lithology was found to be as fine sand. All physiochemical results including pH value which is 5.1 (acidic in nature) fell below the permissible limit of World Health Organization (WHO). The microbial result showed the total coliform count value as 70 cfu/ml which is not in-line with WHO standard. In conclusion, the study showed that the contaminant exists and pose threat to groundwater in the study area.
Climate change and global warming which is also known as a change in Earth’s overall climate or rising temperature have taken centre stage in international concerns, several fora and treaties have been observed with a view of stemming trend, in rising temperatures. This study evaluated ten years of maximum and minimum annual temperature of Warri in Nigeria between (2005 and 2015) to determine trends and identified extreme fluctuation in temperature. Data used for this study were sourced from the Nigerian Meteorological Agency’s Zonal Office, Warri. An objective method for determining temperature extreme has been used. Least square linear regression equation has been used to estimate temperature that would be equalled or surpassed 1%, 5% and 10% of the hours at any given location during the warmest and coldest months of the year. These equations are based on an index calculated from the three readily available parameters; the mean monthly temperature, the mean daily maximum temperature for the month and the mean daily minimum temperature for the month. The warmest month in Warri was March with a mean monthly temperature of 33.9 while the coldest month was July with mean monthly of 25.8.
The investigation deals with the combined heat and mass transfer in a mixed convection boundary layer flow over a stretching vertical surface in a porous medium filled with a viscoelastic second grade fluid. The partial differential equations governing the model have been transformed by a similarity transformation and the system of coupled-ordinary differential equations is solved by employing the shooting method with the fifth-order Runge-Kutta-Fehlberg iteration technique. Effects of various values of physical parameters embedded in the flow model on the dimensionless velocity, temperature and concentration distributions are discussed and shown with the aid of graphs. Numerical values of physical quantities, such as the local skin-coefficient, local Nusselt number and local Sherwood number are presented in a tabular form. It is observed that the boundary layer fluid velocity increases as the second grade parameter, mixed convection parameter and Prandtl number increase.
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