Currently Water injection worksheet employs the static gradient (Cell M43) to estimate the energy requirements for water injection. However, I recommend using _Res_press_ instead to obtain a more accurate estimate of the energy requirements and emissions.
Assuming injectivity equals productivity, adjusting the calculations to consider drawdown as (_Res_press_ - Flowing bottomhole pressure) will improve reliability of our data and reduce discrepancies.
Background
After conducting a through analysis for CO2-EOR flood, where the water injection emissions should be lower than artificial lift emissions since the energy requirements are proportional to the fluid volumes and in most CO2-EOR flood WOR > WIR (more water is produced than injected). With the current OPGEE assumption, looking at number of field for CO2-EOR development, water injection emissions comes out to be greater than artificial lift emissions. By implementing the propose adjustment, we can ensure emissions estimation align with the realistic energy requirements.
Propose Change
Currently Water injection worksheet employs the static gradient (Cell M43) to estimate the energy requirements for water injection. However, I recommend using _Res_press_ instead to obtain a more accurate estimate of the energy requirements and emissions.
Assuming injectivity equals productivity, adjusting the calculations to consider drawdown as (_Res_press_ - Flowing bottomhole pressure) will improve reliability of our data and reduce discrepancies.
Background
After conducting a through analysis for CO2-EOR flood, where the water injection emissions should be lower than artificial lift emissions since the energy requirements are proportional to the fluid volumes and in most CO2-EOR flood WOR > WIR (more water is produced than injected). With the current OPGEE assumption, looking at number of field for CO2-EOR development, water injection emissions comes out to be greater than artificial lift emissions. By implementing the propose adjustment, we can ensure emissions estimation align with the realistic energy requirements.