Bayesian classifier for identifying secure CO2 reservoirs
Carbon capture and storage (CCS) and negative emissions technologies (NETs) such as bioenergy with carbon capture and storage (BECCS) and direct air capture (DAC) systems are necessary for mitigating climate change and attaining net-zero carbon dioxide (CO2) emissions. CCS, BECCS, and DAC rely on ge...
Saved in:
Main Authors: | Lubi, Aloysius Gerard M., Moneda, Christian Michael A., Quitain, Diane D., Lim, Scientifica N. |
---|---|
Format: | text |
Language: | English |
Published: |
Animo Repository
2022
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etdb_chemeng/20 https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1020&context=etdb_chemeng |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Language: | English |
Similar Items
-
A hyperbox classifier model for identifying secure carbon dioxide reservoirs
by: Tan, Raymond Girard R., et al.
Published: (2020) -
A graphical approach to optimal source-sink matching in carbon capture and storage systems with reservoir capacity and injection rate constraints
by: Tan, Raymond Girard R., et al.
Published: (2012) -
"Balik scientist" conducts lecture series on CO2 capture science
by: Koc, Ameurfina T.
Published: (2010) -
Optimal planning and design of CO2 capture, utilization, and storage (CCUS) systems
by: Cruz, Tommie Daniel D.V.
Published: (2023) -
Optimal planning and design of CO2 capture, utilization, and storage (CCUS) systems
by: Cruz, Tommie Daniel DV
Published: (2023)