Monte Carlo simulations of injectivity and static capacity explore the range of variation and uncertainty of key parameters (permeability, porosity, reservoir thickness, etc.) in 3 selected areas in the Gippsland Basin, Victoria, Australia. The uncertainty range in specific data is represented by a probability density function. A Tornado plot ranks the parameters of uncertainty impact on the carbon dioxide (CO2) storage potential, which is valuable to inform the work program for appraisal to reduce uncertainty and obtain confidence on the suitability of those areas. The attained P50 (50% likelihood) injection rate into the Golden Beach Subgroup is 0.5 - 3.0 Mt/a. More than 84% of the uncertainty can be attributed to uncertainty in permeabil...
AbstractIn three radial models (typical of the Trelinga-1, Overston-1 and Moonie-39 wells) with boun...
AbstractThe Illinois Basin – Decatur Project (IBDP), funded by the United States Department of Energ...
This paper presents probabilistic methods to estimate the quantity of carbon dioxide (CO2) that can ...
AbstractMonte Carlo simulations of injectivity and static capacity explore the range of variation an...
In the context of pre-tenement application studies, Monte Carlo simulations of steady state (initial...
AbstractIn the context of pre-tenement application studies, Monte Carlo simulations of steady state ...
AbstractA specific workflow to identify sites of sustaining CO2 injection rates of 1 Mt/a for decade...
A specific workflow to identify sites of sustaining CO2 injection rates of 1 Mt/a for decades was ap...
The Lower Jurassic Precipice Sandstone and Evergreen Formation are an important prospective reservoi...
In three radial models (typical of the Trelinga-1, Overston-1 and Moonie-39 wells) with boundaries p...
Geological storage of CO2 is an attempt at controlling future climate changes. Modelling and simulat...
AbstractInjection of CO2 in geological formations is widely recognized as a promising technology wit...
Geological CO2 storage is expected to grow dramatically in the coming decades to meet global climate...
AbstractExisting pilot, demonstration and commercial storage projects have demonstrated that CO2 geo...
AbstractWe propose an approach to assess the importance ranking of uncertainty sources, with regards...
AbstractIn three radial models (typical of the Trelinga-1, Overston-1 and Moonie-39 wells) with boun...
AbstractThe Illinois Basin – Decatur Project (IBDP), funded by the United States Department of Energ...
This paper presents probabilistic methods to estimate the quantity of carbon dioxide (CO2) that can ...
AbstractMonte Carlo simulations of injectivity and static capacity explore the range of variation an...
In the context of pre-tenement application studies, Monte Carlo simulations of steady state (initial...
AbstractIn the context of pre-tenement application studies, Monte Carlo simulations of steady state ...
AbstractA specific workflow to identify sites of sustaining CO2 injection rates of 1 Mt/a for decade...
A specific workflow to identify sites of sustaining CO2 injection rates of 1 Mt/a for decades was ap...
The Lower Jurassic Precipice Sandstone and Evergreen Formation are an important prospective reservoi...
In three radial models (typical of the Trelinga-1, Overston-1 and Moonie-39 wells) with boundaries p...
Geological storage of CO2 is an attempt at controlling future climate changes. Modelling and simulat...
AbstractInjection of CO2 in geological formations is widely recognized as a promising technology wit...
Geological CO2 storage is expected to grow dramatically in the coming decades to meet global climate...
AbstractExisting pilot, demonstration and commercial storage projects have demonstrated that CO2 geo...
AbstractWe propose an approach to assess the importance ranking of uncertainty sources, with regards...
AbstractIn three radial models (typical of the Trelinga-1, Overston-1 and Moonie-39 wells) with boun...
AbstractThe Illinois Basin – Decatur Project (IBDP), funded by the United States Department of Energ...
This paper presents probabilistic methods to estimate the quantity of carbon dioxide (CO2) that can ...