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Item type:Item, Solutions of Schrodinger equation for the modified Mobius square plus Kratzer potential(Springer Eur. Phys. J. Plus, 2020) Amarachukwu A. IbeIn this paper, we obtain the approximate solutions of the Schrodinger equation with the modifiedMobius square plus Kratzer potential using the Nikiforov–Uvarov method and employing the approximation scheme for the centrifugal term. We obtain the energy eigenvalue equation and corresponding wave functions. Finally, some numerical results and special cases are also reported.Item type:Item, Optimizing reservoir characterization: insights from integrated data analysis(Springer Discover Geoscience, 2024-10-03) Amarachukwu A. IbeThe Onshore Hydrocarbon prospectivity of the Niger Delta X-field is examined through the integration of 3D seismic and recorded information from well log data. Probable reservoirs of hydrocarbon-bearing were delineated to tackle the non-uniqueness in the identification of hydrocarbon quantity of concern. Three significant faulting patterns or systems were delineated and their architectural attributes depict a typical Niger Delta embedded anticlinal structural pattern. The study field exhibited both synthetic and antithetic structures, hence only fault on delineated reservoirs was used for structural modeling. All well locations were sited within the fault-supported synthetic and anticlinal structures and the static characteristics within the well coordinates were analyzed through petrophysical assessment. Depicted reservoir sands show low gamma ray readings, low volume of shale, considerate hydrocarbon saturation and low water saturation. The established petrophysical models showed a better net-to-gross (NTG) ratio, for the entire delineated reservoir units. This has contributed to the assessment of hydrocarbon-bearing reservoir units before employing the strategy for field development scenario, in order to eliminate dry hole drilling campaign. These will contribute to the reduction of operational costs, having delineated the accurate geometry and petrophysical model of hydrocarbon reservoir units.Item type:Item, Delineation of depth to Groundwater in parts of Federal University of Petroleum Resources Effurun, Delta State using One-Dimensional resistivity inversion(International Journal of Research, 2019-06) Amarachukwu A. IbeGeophysical survey using the 1-D electrical method was carried out in a location at the Federal University of petroleum Effurun (FUPRE) campus in Ugbomro Delta State in order to determine the depth to prolific aquiferous layers for groundwater production. The Schlumberger configuration was used with a current electrode separation of about 300m. Five (5) VES profiles were occupied in the surveyed area labelled as VES1, VES2, VES3, VES4 and VES5, with VES2 and VES3 acquired within the same location to check for instrumental coupling in the resistivity meter. The resistivity data was inverted using the resistivity modeling software (IPI2Win.v.2.1) application to generate the layer parameters (resistivity, depth and thickness), from which hydrological properties (transverse resistance) which was taken as transmissivity was extracted from the geoelectric data and geologic sections of the subsurface were drawn. The result of the interpretation showed four to five geoelectric layers and six lithologies namely clay, sandy clay, clayey sand, fine sand, medium sand, coarse sand (which is gravely) and a high resistivity carbonate bed. In the study area, along profiles VES2 and VES4 lies prolific aquiferous layers which are favorable for groundwater development. In VES2 five layers were delineated, it was observed that within the second and fourth layers along this profile lies high resistivity materials (with resistivity >2200Ωm) which depicts coarse sand. The coarse sand observed within the fourth layer in VES2 has a thickness of about 26.9m at a depth of 6.27m below the subsurface and is sandwiched between two low resistivity materials at the third and fourth layers (with resistivity values of about 405Ωm at the third layer) which depicts clayey sand and (resistivity values <50Ωm within the fifth layer) which depicts clay. This shows that the coarse sand observed within the fourth layer in VES2 is a good aquifer zone with high transmissivity value of about 60,444Ωm2 making it highly productive and favorable for groundwater abstraction. Also in VES4, four layers were delineated with coarse sand observed within the second layer with a thickness of 1.78m at a depth of about 1.72m which is shallow and medium sand observed within the third layer at a depth of about 3.5m, and considering its thickness (about 43.8m) this layer will be favorable for groundwater abstraction as observed from its transmissivity value (of about 44,150Ωm2). Aquifer zones delineated within the second and third layers for VES1 and VES5 even though they have a reasonable thickness of about 30.83m and 28.3m respectively are not good aquifer zones because they lie within shallow depths of about 0.77m and 1.48m respectively. Therefore, within the surveyed area the aquifer zones of high productivity lies within the below the water table (about 3.0 ± 0.5m) as reported by previous studies.Item type:Item, Delineation of Hydrocarbon Bearing Reservoirs from Surface Seismic and Well Log Data (Nembe Creek) In Niger Delta Oil Field(IOSR Journal of Applied Physics, 2013-08)Hydrocarbon reservoir has been delineated and their boundaries mapped using direct indicators from 3-D seismic and well log data from an oil field in Nembe creek, Niger Delta region. Well log signatures were employed to identify hydrocarbon bearing sands. Well to seismic correlation revealed that these reservoirs tied with direct hydrocarbon indicators on the seismic section. The results of the interpreted well logs revealed that the hydrocarbon interval in the area occurs between 6450ft to 6533ft for well A, 6449ft to 6537ft for well B and 6629ft to 6704ft for well C; which were delineated using the resistivity, water saturation and gamma ray logs. Cross plot analysis was carried out to validate the sensitivity of the rock attributes to reservoir saturation condition. Analysis of the extracted seismic attribute slices revealed HD5000 as hydrocarbon bearing reservoir.Item type:Item, Enhancing water security through integrated storage mechanisms and rainwater harvesting for sustainable development(Springer Discover Sustainability, 2025) Amarachukwu A. IbeThe world faces a growing water crisis, driven by population growth, urbanization, and climate change, with a projected 40% decrease in available water supply by 2030. More than 40% of the global population already experiences water scarcity, a reality exacerbated by declining natural freshwater storage, with a staggering 15,700 Billion Cubic Meters (BCM) lost between 1970 and 2019. Traditional water management strategies are insufficient, highlighting the urgent need for innovative solutions. This uniquely combined Additional Storage Support Mechanisms (ASSM) with Rainwater Harvesting (RWH) to provide decentralized, climate-resilient water solutions. It considers diverting attention away from conventional centralized systems towards a nature-driven, multi-scale storage approach that maximizes groundwater recharge, flood mitigation, and agricultural sustainability. Studies indicate that ASSM and RWH structures, such as subsurface dams, rooftop infiltration, and groundwater tanks can potentially decrease flood volume by a notable percentage, increase water storage up to 273 days, and increase aquifer recharge. The methods provide lowcost, scalable options to water-scarce areas, enhancing climate change resilience and adding to Sustainable Development Goal 6 on the provision of clean water. A risk-based simulation optimization framework showed a 46.51% increment in water allocation efficiency using surface dams, reducing water shortages by up to 87%. The findings emphasize the need for a paradigm shift in water management strategies, beyond traditional approaches, to embrace a more integrated and sustainable approach. The integration of ASSM and RWH into national water strategies will drive progress toward SDG 6 on clean water and sanitation. Investing in these technologies will not only ensure water security but also contribute to sustainable development and a healthier planet.