Hydrocarbon reservoir characterization of 'Otan-Ile' field, Niger Delta

Autor: Joel Olayide Amosun, Tokunbo Sanmi Fagbemigun, Michael Ayu Ayuk, Opeyemi Joshua Akinrinade, Oluseun A. Sanuade, Olaide Sakiru Hammed, Olufemi Enitan Oyanameh, Ajibola Rashidat Oyebamiji
Rok vydání: 2021
Předmět:
Zdroj: Journal of Petroleum Exploration and Production Technology. 11:601-615
ISSN: 2190-0566
2190-0558
Popis: Otan-Ile field, located in the transition zone Niger Delta, is characterized by complex structural deformation and faulting which lead to high uncertainties of reservoir properties. These high uncertainties greatly affect the exploration and development of the Otan-Ile field, and thus require proper characterization. Reservoir characterization requires integration of different data such as seismic and well log data, which are used to develop proper reservoir model. Therefore, the objective of this study is to characterize the reservoir sand bodies across the Otan-Ile field and to evaluate the petrophysical parameters using 3-dimension seismic and well log data from four wells. Reservoir sands were delineated using combination of resistivity and gamma ray logs. The estimation of reservoir properties, such as gross thickness, net thickness, volume of shale, porosity, water saturation and hydrocarbon saturation, were done using standard equations. Two horizons (T and U) as well as major and minor faults were mapped across the ‘Otan-Ile’ field. The results show that the average net thickness, volume of shale, porosity, hydrocarbon saturation and permeability across the field are 28.19 m, 15%, 37%, 71% and 26,740.24 md respectively. Two major faults (F1 and F5) dipping in northeastern and northwestern direction were identified. The horizons were characterized by structural closures which can accommodate hydrocarbon were identified. Amplitude maps superimposed on depth-structure map also validate the hydrocarbon potential of the closures on it. This study shows that the integration of 3D seismic and well log data with seismic attribute is a good tool for proper hydrocarbon reservoir characterization.
Databáze: OpenAIRE
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