TY - JOUR
T1 - 3D Static Modeling and CO2 Static Storage Estimation of the Hydrocarbon-Depleted Charis Reservoir, Bredasdorp Basin, South Africa
AU - Afolayan, Blessing Ayotomiwa
AU - Mackay, Eric
AU - Opuwari, Mimonitu
N1 - Funding Information:
The authors are grateful to the Petroleum Agency of South Africa (PASA) for providing the data and well reports for the study. They also thank Synergy LR Company and Schlumberger Limited for providing access to Interactive Petrophysics (IP 2021 (4.7)) and Petrel software, respectively, used for data analysis. Mrs Leah Bailey of Schlumberger Limited is particularly appreciated for her help during the data analysis.
Funding Information:
Open access funding provided by University of the Western Cape. The funding provided by the National Institute for Theoretical and Computational Sciences (NITheCS) South Africa toward this research is acknowledged.
Publisher Copyright:
© 2023, The Author(s).
PY - 2023/6
Y1 - 2023/6
N2 - An essential greenhouse gas effect mitigation technology is carbon capture, utilization and storage, with carbon dioxide (CO2) injection into underground geological formations as a core of carbon sequestration. Developing a robust 3D static model of the formation of interest for CO2 storage is paramount to deduce its facies changes and petrophysical properties. This study investigates a depleted oilfield reservoir within the Bredasdorp Basin, offshore South Africa. It is a sandstone reservoir with effective porosity mean of 13.92% and dominant permeability values of 100–560 mD (1 mD = 9.869233 × 10–16 m2). The petrophysical properties are facies controlled, as the southwestern area with siltstone and shale facies has reduced porosity and permeability. The volume of shale model shows that the reservoir is composed of clean sands, and water saturation is 10–90%, hence suitable for CO2 storage based on petrophysical characteristics. Static storage capacity of the reservoir as virgin aquifer and virgin oilfield estimates sequestration of 0.71 Mt (million tons) and 1.62 Mt of CO2, respectively. Sensitivity studies showed reservoir depletion at bubble point pressure increased storage capacity more than twice the depletion at initial reservoir pressure. Reservoir pressure below bubble point with the presence of gas cap also increased storage capacity markedly.
AB - An essential greenhouse gas effect mitigation technology is carbon capture, utilization and storage, with carbon dioxide (CO2) injection into underground geological formations as a core of carbon sequestration. Developing a robust 3D static model of the formation of interest for CO2 storage is paramount to deduce its facies changes and petrophysical properties. This study investigates a depleted oilfield reservoir within the Bredasdorp Basin, offshore South Africa. It is a sandstone reservoir with effective porosity mean of 13.92% and dominant permeability values of 100–560 mD (1 mD = 9.869233 × 10–16 m2). The petrophysical properties are facies controlled, as the southwestern area with siltstone and shale facies has reduced porosity and permeability. The volume of shale model shows that the reservoir is composed of clean sands, and water saturation is 10–90%, hence suitable for CO2 storage based on petrophysical characteristics. Static storage capacity of the reservoir as virgin aquifer and virgin oilfield estimates sequestration of 0.71 Mt (million tons) and 1.62 Mt of CO2, respectively. Sensitivity studies showed reservoir depletion at bubble point pressure increased storage capacity more than twice the depletion at initial reservoir pressure. Reservoir pressure below bubble point with the presence of gas cap also increased storage capacity markedly.
KW - 3D static model
KW - Bredasdorp basin
KW - Facies
KW - Petrophysical properties
KW - Sensitivity studies
KW - Static storage capacity
UR - http://www.scopus.com/inward/record.url?scp=85150033493&partnerID=8YFLogxK
U2 - 10.1007/s11053-023-10180-w
DO - 10.1007/s11053-023-10180-w
M3 - Article
AN - SCOPUS:85150033493
SN - 1520-7439
VL - 32
SP - 1021
EP - 1045
JO - Natural Resources Research
JF - Natural Resources Research
IS - 3
ER -