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Initial interpretation of the available data in Kini-field offshore Niger Delta suggests huge uncertainty in the hydrocarbon volume. Thus, additional exploration procedure is required to minimize economic risk before progressing to the next stage of the field development. An independent interpretation of the 3D seismic data and well logs of the Kin...
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... structures identified are growth faults and channels. Synthetic faults (F1, F2, F3, F6, F7) generally strike east -west (E-W) and dip to south while the antithetic ones (F4, F5, and F8) are north dipping following the regional structural framework of offshore fields in Niger Delta province [3,[14][15] , Fig. 4). ...
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Citations
... Such models impose much bigger loads on the geologist than conventional models do, because at any part of the reservoir's 3D volume, geology needs a complete explanation. Multi-integrated properties can be used to define a 3D geological model, which is critical for connecting data from a wellbore to a 3D geological model to create reservoir simulations [6][7][8][9][10]. ...
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As a result of a combination of several methodologies, the H-Field, Niger-Delta, has been delineated. To identify probable reservoirs, seals, and source rocks in the study area, this study integrates sequence stratigraphy with petrophysical concepts through a comprehensive analysis of 3D seismic and well logging datasets. According to the 3D facies model, reservoirs are dominated by sand and are laterally extensive. They were then upscaled and stochastically distributed to create a 3D reservoir property model. On average, the porosity of these clastic reservoirs ranges from 22 to 28%. Reservoir net-to-gross (NTG) ratios range from 0.67 to 0.96. Water saturation ranges from 8% to 30%, while hydrocarbon saturation ranges from 70% to 92%. Four gas-bearing units and six oil-bearing units are present in reservoirs P 0.5 and P 1 compartments. All reservoir intervals’ oil and gas volumes are evaluated based on the hydrocarbon distribution. Geological models of the subsurface, such as the one in this paper, are crucial for future reservoir development programs.
... Hydrocarbon characterization can be achieved by the integration of seismic, well logs and geological data commonly used independently in hydrocarbon exploration and exploitation studies [4]- [9]. However, the detailed analysis of reservoir depends on how well data integration is performed [10]- [13]. ...
... b Base Map of "Otan-Ile" Field which could provide detail description of reservoir properties and assist in optimal well placement. Concise geometric description of stratigraphic and structural aspects of a reservoir can be well achieved using well log and seismic data (Adelu et al. 2016;Sanuade et al. 2018;Akanji et al. 2018). ...
... Several studies have been carried out in the Niger Delta Basin using 3D seismic and well log data to properly characterize hydrocarbon reservoirs Ibe and Ezekiel 2019), for stratigraphical analysis (Emujakporue and Eyo 2019;Dim et al. 2019), volumetric analysis (Adelu et al. 2016;Akanji et al. 2016;Okpogo et al. 2018;Ukuedojor and Maju-Oyovwikowhe 2019), pore pressure prediction (Chiazor and Beka 2019; Tanko et al. 2019;Umoren et al. 2019) and structural analysis Akanji et al. 2018;Adeoti et al. 2014;Ibe and Ezekiel 2018;Soneye and Osinowo 2019). Furthermore, seismic attributes (measure of seismic data which aids to improve visualize or quantify structures of interpretation concern (Marfurt and Chopra 2007) are very important tools in analyzing and interpreting hydrocarbon reservoir as they provide detailed information. ...
... Furthermore, seismic attributes (measure of seismic data which aids to improve visualize or quantify structures of interpretation concern (Marfurt and Chopra 2007) are very important tools in analyzing and interpreting hydrocarbon reservoir as they provide detailed information. Seismic attribute maps have also been used by several researchers to enhance hydrocarbon characterization (Adelu et al. 2016;Sanuade et al. 2018;Akanji et al. 2018;Ibe and Ezekiel 2019). ...
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 (F 1 and F 5) 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.
... b Base Map of "Otan-Ile" Field which could provide detail description of reservoir properties and assist in optimal well placement. Concise geometric description of stratigraphic and structural aspects of a reservoir can be well achieved using well log and seismic data (Adelu et al. 2016;Sanuade et al. 2018;Akanji et al. 2018). ...
... Several studies have been carried out in the Niger Delta Basin using 3D seismic and well log data to properly characterize hydrocarbon reservoirs Ibe and Ezekiel 2019), for stratigraphical analysis (Emujakporue and Eyo 2019;Dim et al. 2019), volumetric analysis (Adelu et al. 2016;Akanji et al. 2016;Okpogo et al. 2018;Ukuedojor and Maju-Oyovwikowhe 2019), pore pressure prediction (Chiazor and Beka 2019; Tanko et al. 2019;Umoren et al. 2019) and structural analysis Akanji et al. 2018;Adeoti et al. 2014;Ibe and Ezekiel 2018;Soneye and Osinowo 2019). Furthermore, seismic attributes (measure of seismic data which aids to improve visualize or quantify structures of interpretation concern (Marfurt and Chopra 2007) are very important tools in analyzing and interpreting hydrocarbon reservoir as they provide detailed information. ...
... Furthermore, seismic attributes (measure of seismic data which aids to improve visualize or quantify structures of interpretation concern (Marfurt and Chopra 2007) are very important tools in analyzing and interpreting hydrocarbon reservoir as they provide detailed information. Seismic attribute maps have also been used by several researchers to enhance hydrocarbon characterization (Adelu et al. 2016;Sanuade et al. 2018;Akanji et al. 2018;Ibe and Ezekiel 2019). ...
... b Base Map of "Otan-Ile" Field which could provide detail description of reservoir properties and assist in optimal well placement. Concise geometric description of stratigraphic and structural aspects of a reservoir can be well achieved using well log and seismic data (Adelu et al. 2016;Sanuade et al. 2018;Akanji et al. 2018). ...
... Several studies have been carried out in the Niger Delta Basin using 3D seismic and well log data to properly characterize hydrocarbon reservoirs Ibe and Ezekiel 2019), for stratigraphical analysis (Emujakporue and Eyo 2019;Dim et al. 2019), volumetric analysis (Adelu et al. 2016;Akanji et al. 2016;Okpogo et al. 2018;Ukuedojor and Maju-Oyovwikowhe 2019), pore pressure prediction (Chiazor and Beka 2019; Tanko et al. 2019;Umoren et al. 2019) and structural analysis Akanji et al. 2018;Adeoti et al. 2014;Ibe and Ezekiel 2018;Soneye and Osinowo 2019). Furthermore, seismic attributes (measure of seismic data which aids to improve visualize or quantify structures of interpretation concern (Marfurt and Chopra 2007) are very important tools in analyzing and interpreting hydrocarbon reservoir as they provide detailed information. ...
... Furthermore, seismic attributes (measure of seismic data which aids to improve visualize or quantify structures of interpretation concern (Marfurt and Chopra 2007) are very important tools in analyzing and interpreting hydrocarbon reservoir as they provide detailed information. Seismic attribute maps have also been used by several researchers to enhance hydrocarbon characterization (Adelu et al. 2016;Sanuade et al. 2018;Akanji et al. 2018;Ibe and Ezekiel 2019). ...
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 (F 1 and F 5) 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.
... Complexity of depositional environment, geological settings and heterogeneity of reservoir parameters result in intricacy of resource identification and prospect generation, which affect directly well production performance, success of field development and cost-effectiveness Adeoti et al. 2014;Seyyedattar et al. 2020). A comprehensive 3D reservoir model is essential to address the spatial reservoir property distribution (Abdel-Fattah et al. 2018;Adesoji et al. 2018;Oyeyemi et al. 2018). It involves interpretation of necessary and available geological and geophysical data to characterize, among others, structural elements, facies architecture and critical petrophysical properties like porosity, permeability, net-to-gross thickness and water saturation (Yu et al. 2011;Abdel-Fattah et al. 2018;Adelu et al. 2019). ...
This work integrates seismic and well log data to establish a 3D reservoir model of the Q-Field, which is a prolific onshore hydrocarbon field situated in the Central Swamp Depobelt of Nigeria. The subsurface modeling focuses on the four principal clastic reservoir intervals of the Agbada Formation (D6200, D7000, D9000 and E2000), which was deposited in a deltaic to fluvio-deltaic system during Eocene. The seismic-based structural modeling inferred an extensional set-up dominated by NW–SE trending normal faults. Reservoirs are sand-dominated and laterally extensive, as interpreted from the 3D facies model. Well log-based petrophysical parameters were up-scaled and distributed stochastically using the Sequential Gaussian Simulation method to generate a 3D reservoir property model. Lateral and vertical heterogeneities of the reservoir properties were inferred from the 3D models. In general, the clastic reservoirs exhibit 18–22% porosity, 62–105 mD permeability, moderate to good net-gross thickness, and 36–74% water saturation. Hydrocarbon accumulation was primarily restricted within the anticlines. Gas-down-to exists in the upper three reservoirs (D6200, D7000 and D9000) at 10,577 ft (1 ft = 0.3048 m), 10,756 ft and 11,389 ft, respectively. Gas–oil and oil–water contacts in the E2000 reservoir were interpreted to be at 11,812 ft and 11,886 ft, respectively. Based on the hydrocarbon distribution, oil and gas-in-place volumes were estimated for all the reservoir intervals. The comprehensive 3D modeling work addressed the spatial distribution of the studied reservoir properties and can be directly useful for planning better the future wells for field development.
Robi-1 field, located in the Central Swamp-I depositional belt of the Niger Delta, is largely typified by un-certainties due to complexity of reservoirs features, which resulted in difficulty in imaging and capturing allstructural possibilities. These in turn affect the effectiveness of further exploration, appraisal, and development.This study was, therefore, undertaken to produce 3D structural and property models to better characterize,image and capture the reservoirs by integrating 3D seismic, logs and petrophysical parameters from the Robi-1well. Two main reservoirs (A1 and A2) which contain bulk of the hydrocarbon in the Robi-1 field were iden-tified, analyzed and evaluated. Attribute constrained reservoir models that capture possible structural andpetrophysical uncertainties away from the well were generated to estimate hydrocarbon reserves as well as todetermine optimal well placement. Reservoir structural models indicate that non-crossing East-West strikingfaults control the structural architecture, sealing the hydrocarbon fluids to the northern and southwestern part ofthe reservoir. Petrophysical results also show that both reservoirs have the comparable mean porosity and hy-drocarbon saturation. Moreover, attribute analysis suggests that the northwestern region near reservoir A1 has a good hydrocarbon saturation and high porosity. The resulting models have assisted in proposing a deviated wellto target the oil rim at A1 and the unknown hydrocarbon at A2
