Integration of Borehole Geophysical Data and 3D Seismic Data in Reservoir Characterization
Keywords:Bore hole, Geophysical data, 3D Seismic data, Reservoir.
This research involves the Integration of Borehole Geophysical Data and 3D Seismic Data in Reservoir Characterization. Data from the “Goko” field was obtained and analyzed using Petrel software package. The reservoir was identified at an approximate depth of the top at about 3537.5 feet. The quality of the reservoir was determined using petrophysical parameters like porosity and permeability. The reservoir was found to have an average porosity of about 0.22408 which gives about 22.408%. The permeability was obtained at an average value of about 1485.828. This gives Very Good porosity and an excellent permeability. Hence the reservoir quality has been identified to be a good one. The lateral extent of the reservoir was obtained by determining the horizon of interest in terms of its depth from the surface, area and geometry. The reservoir was found to be an anticline structure as shown in figures 3.5.2 Fault and horizon Interpretation on Inline 5741, 3.53 Fault and horizon Interpretation on Inline 5641, and 3.6.1 Interpreted Horizons, fault sticks and wells across inline 5820. The STOIIP estimation shown using equation 2.9 gave the volume of hydrocarbon that can possibly be found in the reservoir. With values of about fifty-six million stock-tank barrel (56,167,045.24 Stock Tank Barrel (STB)), the reservoir is seen as a possible rich source of hydrocarbon that is good enough for exploration.
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Copyright (c) 2021 A S Ekine M, Uche-Collins G Ubaku
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