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<p>Despite the ongoing energy transition, global carbon dioxide emissions have risen over the last few decades. Various strategies, including carbon capture and storage (CCS) in subsurface reservoirs, have been recognised as promising methods for reducing atmospheric CO<sub>2</sub> levels. Selecting an appropriate site for CO<sub>2</sub> storage necessitates a thorough understanding of the geological frameworks (structural and stratigraphic) of sandstone reservoirs for effective storage within the Niger Delta Basin. This study was conducted in a geological region characterised by marine shales from the Akata Formation, followed by the Agbada Formation, known for its interbedded shallow marine and fluvial sands, silts, and clays, representing a typical paralic environment. The research focuses on an older hydrocarbon field to assess C-reservoirs (target reservoirs) heterogeneity, structural compatibility, and petrophysical distributions for efficient CO<sub>2</sub> storage for environmental sustainability. Data from seven conventional well log suites and post-stack time-migrated seismic data were employed. The log suites were normalised by removing outliers (noise) associated with the data before uploading them into various software platforms. The approach adopted involved reservoir correlation between wells, petrophysical analysis and modelling, horizon and structural mapping, and static modelling of the target reservoirs. The findings indicated that the target C-reservoirs (C1000 and C2000 reservoirs) thicknesses were approximately 60 and 80 ft, respectively. The results of the facies model confirmed a predominance of fine sand facies, along with coarse sand and shale. The analysis of petrophysical properties showed variations in shale volumes, porosity, and permeability. The reservoirs demonstrated excellent porosity with moderate to good permeability. Both reservoirs presented moderate to high average water saturation, indicating low hydrocarbon saturation levels. The modelled reservoirs are established as suitable sites for CO<sub>2</sub> storage, given their advantageous porosity, permeability, and water saturation parameters. This research underscores the critical distribution of petrophysical characteristics relevant to CO<sub>2</sub> storage in the area.</p>

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Reservoir heterogeneity and compatibility analysis of C-reservoir for CO2 storage in an old production field in Niger Delta Basin, Nigeria

  • 期刊论文

  • 发表日期：

    2025年10月28日

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  • Chioma Oluchukwu Maduewesi,
  • Chukwudike Gabriel Okeugo,
  • Kachikwulu Kingsley Okeke

摘要

Despite the ongoing energy transition, global carbon dioxide emissions have risen over the last few decades. Various strategies, including carbon capture and storage (CCS) in subsurface reservoirs, have been recognised as promising methods for reducing atmospheric CO2 levels. Selecting an appropriate site for CO2 storage necessitates a thorough understanding of the geological frameworks (structural and stratigraphic) of sandstone reservoirs for effective storage within the Niger Delta Basin. This study was conducted in a geological region characterised by marine shales from the Akata Formation, followed by the Agbada Formation, known for its interbedded shallow marine and fluvial sands, silts, and clays, representing a typical paralic environment. The research focuses on an older hydrocarbon field to assess C-reservoirs (target reservoirs) heterogeneity, structural compatibility, and petrophysical distributions for efficient CO2 storage for environmental sustainability. Data from seven conventional well log suites and post-stack time-migrated seismic data were employed. The log suites were normalised by removing outliers (noise) associated with the data before uploading them into various software platforms. The approach adopted involved reservoir correlation between wells, petrophysical analysis and modelling, horizon and structural mapping, and static modelling of the target reservoirs. The findings indicated that the target C-reservoirs (C1000 and C2000 reservoirs) thicknesses were approximately 60 and 80 ft, respectively. The results of the facies model confirmed a predominance of fine sand facies, along with coarse sand and shale. The analysis of petrophysical properties showed variations in shale volumes, porosity, and permeability. The reservoirs demonstrated excellent porosity with moderate to good permeability. Both reservoirs presented moderate to high average water saturation, indicating low hydrocarbon saturation levels. The modelled reservoirs are established as suitable sites for CO2 storage, given their advantageous porosity, permeability, and water saturation parameters. This research underscores the critical distribution of petrophysical characteristics relevant to CO2 storage in the area.