2013
DOI: 10.1306/eg.10231212008
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New constraints on buried Triassic basins and regional implications for subsurface CO2 storage from the SeisData6 seismic profile across the Southeast Georgia coastal plain

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Cited by 6 publications
(5 citation statements)
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“… The average porosity and permeability of sedimentary rocks that served as seals for the model were 0.34% and 0.00065 mD, respectively. For igneous rocks (the reservoir part of the model), porosity and permeability were designated to be 14% and 10 mD, respectively, as they have been affected by prior erosion and tectonic activities to a greater extent than the sedimentary rocks ( Akintunde et al., 2013 ). The injection zone had a scaled permeability (from 0 to 200 mD) to reflect the heterogeneity of the petrophysical features and to match the lateral variability.…”
Section: Methodsmentioning
confidence: 99%
“… The average porosity and permeability of sedimentary rocks that served as seals for the model were 0.34% and 0.00065 mD, respectively. For igneous rocks (the reservoir part of the model), porosity and permeability were designated to be 14% and 10 mD, respectively, as they have been affected by prior erosion and tectonic activities to a greater extent than the sedimentary rocks ( Akintunde et al., 2013 ). The injection zone had a scaled permeability (from 0 to 200 mD) to reflect the heterogeneity of the petrophysical features and to match the lateral variability.…”
Section: Methodsmentioning
confidence: 99%
“…In this work, we estimated a permeability range within the faults based on the Rizer # 1 borehole geophysical logs and used this range to investigate the impact of faults on the flow of supercritical CO 2 into the fractured and faulted diabase injection zone. The goal of these simulations were to: 1) create a new dynamic model of the SGR basin for CO 2 injection simulation, 2) analyze the effects of fractures and faulting in the injection reservoir and seal geology, and 3) test the feasibility of the SGR basin for the long term storage of 30 the target reservoir (Diabase C) would have been buried up 7,750 m (25,427 ft.) deep [36]. Due to the depth of the burial of the sandstone, there was significantly more compression of the material than was previously thought before the characterization study.…”
Section: Research Objectivesmentioning
confidence: 99%
“…This is mainly due to: 1) Lack of interest from the petroleum industry and 2) Depth of the basin being below geologic mapping efforts. However, the recent characterization study catalogued numerous geological, geophysical and petrophysical research [7,[14][15][16][30][31][32][33][34][35][36][37][38]. During the second phase of the characterization study, approximately 386 km (~240 mi) of seismic data were collected, processed and interpreted.…”
Section: South Georgia Rift Geology -Newly Acquired Datamentioning
confidence: 99%
“…In both the Kozeny-Carman and FZI applications for this study, we utilized the existing well data, and the core laboratory measurements for the Norris Lightsey #1 well and other locations with penetrations of the South Georgia Rift red beds (Table 1). The Norris Lightsey #1 well has the deepest penetration of the red beds, covering a depth greater than 800 m below the surface to maintain supercritical CO2 injection (Akintunde et al, 2013a). The variations in the porosity and permeability data from these locations are due to the influence of depositional environments (Akintunde et al, 2013b).…”
Section: Methodsmentioning
confidence: 99%
“…The red beds were formed through sediment deposition that accompanied the formation of the basin in late Triassic. Studies by Heffner et al (2012), Akintunde et al (2013a), andMcBride et al (1989) show the SGR basin fills to be overlain by the Cretaceous-Cenozoic sediments.…”
Section: Introductionmentioning
confidence: 99%