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  1. Home
  2. Browse by Author

Browsing by Author "Adeoye Taiye Olushola"

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    An Introductory Approach to Sequence Stratigraphic Analysis
    (Mepaiyeda Seyi and Adeoye Taiye Olushola, 2019) Mepaiyeda Seyi; Adeoye Taiye Olushola
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    Application of Surface Geophysics to groundwater investigation: A Case Study of a Rural Area in Ilorin, North Central, Nigeria
    (Akamai University, Hawaii, 2020-03-26) Ibrahim Kehinde Olojoku; Adeoye Taiye Olushola
    This study was carried out to determine groundwater potential in Ilorin, Northcentral Nigeria using Vertical Electrical Sounding (VES). The VES data was generated from twenty (20) locations in the study area and was later processed and analyzed using IPI2 WIN software. The underlying geo-electric sections comprises of topsoil, laterites, weathered basement, fractured basement, and fresh basement. The topsoil has resistivity and thickness ranges between 44.1- 862Ωm and 0.5 – 3.52m. The second layer which is laterites possess resistivity and thickness between 16.3 - 2001 Ωm and 0.62 – 10.3m, The third layer is weathered basement having resistivity and thickness ranges from 11.0 – 755 Ωm and 3.1 – 52.0m. The fourth layer considered as fractured basement has resistivity and thickness between 93.1 - 3247 Ωm and 14.8 – 71.1m and final layer is fresh basement which possess resistivity ranges between 73.7 – 8444 Ωm. The interpretation from the resistivity log of regolith rocks shows different curve types which include HA, HKH, QH, H and A – type curves. About 55% of the regolith in the area possesses aquifer potential value of 10.5 which shows optimum weathering and groundwater potential, therefore, any future borehole should be sited in these locations which are 3, 4, 8, 9, 10, 12, 13, 14, 16, 18, and 20. This study will provide a baseline hydrogeophysical data bank for prospective scientists, agriculturalists and relevant agencies that may be concerned with rural water supply and food security.
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    Hydrocarbon Reservoir Mapping and Volumetric Analysis Using Seismic and Borehole Data over “Extreme” Field, Southwestern Niger Delta.
    (Ozean Publication, 2009-06-19) Adeoye Taiye Olushola; Enikanselu Pius Adekunle
    Abstract : Hydrocarbon reservoirs have been delineated and their boundaries mapped using direct indicators from 3-D seismic as well as borehole data over ‘Extreme’ Field, offshore Niger Delta. The research methodology involved horizon and fault interptretation to produce subsurface structural maps. Amplitudes of reflections were mapped to define the lateral boundary of the reservoir. The reservoir area extent was determined using the square grid template method. Wireline log signatures were employed to identify hydrocarbon bearing sands and compute reservoir petrophysical parameters for hydrocarbon pore volume determination. Well to seismic tie revealed that these reservoirs tied direct hydrocarbon indicators – bright and dim spots - on the seismic sections. The structure maps revealed fault assisted closures at the center of the field, which correspond to the crest of rollover anticlines and possibly served as the trapping medium. Three hydrocarbon bearing reservoirs - R1, R2 and R3 - were delineated. The reservoir porosity estimates varied from 0.22 to 0.31, hydrocarbon saturation 0.6 to 0.9 and thickness from 1.75 to 26.97 metres. The reservoir area extent deduced from the amplitude anomaly map varied from 9.79 to 11.88 km2 Estimation of the volume of hydrocarbon in place revealed that R1 has the least hydrocarbon accumulation of 60,708.67 cubic feet of gas while R2 contained 43,407.70 barrels of oil and 123,019.78 cubic feet of gas in place. Reservoir R3 contained an estimate of 110,323.09 barrels of oil and 321664.36 cubic feet of gas. The study has shown the feasibility of integrating surface seismic and direct hydrocarbon indicators in mapping reservoir boundaries. Their integration with borehole data facilitated the evaluation of hydrocarbon pore volume.
  • Item
    RESERVOIR STUDIES AND STRUCTURAL INTERPRETATION OF 3-D SEISMIC DATA OVER X-FIELD, NIGER DELTA
    (Department of Geology, Federal University of Technology, Minna Nigeria, 2023-12-19) Adeoye Taiye Olushola; Sunmonu Lukman Ayobami; Adabanija Moffrudeen A; Bayowa O.G.; Suleman K.O.
    Petrophysical analysis and structural interpretation are the essential starting methods for mapping the reservoir distribution. Structural models are developed in this study using 3D seismic data and analysis of covariance attributes. Well logs and 3-D seismic data were analyzed to identify prolific hydrocarbon intervals. Fault interpretation was enhanced by interpreting vertical sections of covariance attribute. Two horizons, picked at the reservoir level were used for structural modelling. Reserves estimation was obtained using the monte-carlo method, obtained at probabilistic levels. Results show that three hydrocarbon bearing reservoirs are present in the field. The prospects consist of stacked oil-saturated sands having an average net pay of 143 ft. At least two of the oil sands spread from well 3 in the south to other distant wells. In addition, covariance attributes increased the fault population as faults are not very prominent on the seismic data. The structural maps reveal that the area contains normal listric faults that are not extensive in the vertical and lateral direction, and are mostly unconnected to one other. The anticlinals structures that can trap hydrocarbon fluids are located in the North. Even though, wells in the southern part of the area have penetrated oil sands, migration is towards the anticlinal structures observed in northern part of the area as there are no sufficient structures in the south. The study concludes that oil sands exist in the region and they are located within good traps. However, the first reservoir's lateral area lowered the amount of oil, obtainable, valued at an average estimate of 394,192 barrels. Nevertheless, the second reservoir is of a high volume, measured at an average estimate of 1,120,779 barrels. Before drawing any final conclusions, further information may be gathered in the surrounding area of the research.

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