Hydrocarbon Reservoir Mapping and Volumetric Analysis Using Seismic and Borehole Data over “Extreme” Field, Southwestern Niger Delta.

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dc.contributor.authorAdeoye Taiye Olushola
dc.contributor.authorEnikanselu Pius Adekunle
dc.date.accessioned2024-04-18T08:34:43Z
dc.date.available2024-04-18T08:34:43Z
dc.date.issued2009-06-19
dc.descriptionThe study involved the identification of hydrocarbon bearing reservoirs from well logs. Interpretation was continued on the seismic data in order to determine the boundaries of the hydrocarbon unit. From well log analysis, three hydrocarbon-producing reservoirs (R1, R2 and R3) were identified. Well-to-seismic tie revealed that hydrocarbon bearing reservoirs were associated with direct hydrocarbon indicators (Bright spots and dim spots) on the seismic sections. Three horizons were studied and five faults mapped for the purpose of carrying out 3-D subsurface structural interpretation. This was used in generating the time structure maps. From the maps, it was observed that the principal structure responsible for hydrocarbon entrapment in the field was the anticlinal structure at the center of the field which tied to the crest of the rollover structure seen on the seismic sections. Direct hydrocarbon indicators were used to map the reservoir boundary. They were seen on the reflection amplitude maps as high amplitude zones (bright spots) and low amplitude zones (dim spots). Reservoir area extent obtained from square grids revealed that reservoir R1 had an area estimate of 9.79 km2; reservoir R2 10.56 km2 while reservoir R3 covered about 11.88 km2. Estimation of the volume of hydrocarbon in place revealed that reservoir R1 had the least hydrocarbon estimate of 60,708.67 cubic feet of gas while reservoir R2 contained 43,407.70 barrels and about 123,019.78 cubic feet of
dc.description.abstractAbstract : 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.
dc.description.sponsorshipAdeoye T.O and Enikanselu P.A.
dc.identifier.citationAdeoye, T. O., & Enikanselu, P. A. (2009). Hydrocarbon reservoir mapping and volumetric analysis using seismic and borehole data over “Extreme” field, Southwestern Niger Delta. Ozean journal of applied sciences, 2(4), 429-441.
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/123456789/12321
dc.language.isoen_US
dc.publisherOzean Publication
dc.titleHydrocarbon Reservoir Mapping and Volumetric Analysis Using Seismic and Borehole Data over “Extreme” Field, Southwestern Niger Delta.

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