{"id":"W4383911571","doi":"10.3390/en16145289","title":"A Novel Multi-Phase Strategy for Optimizing CO2 Utilization and Storage in an Oil Reservoir","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; Petroleum Technology Research Centre; Geological Survey of Canada; Natural Resources Canada","funders":"Office of Energy Research and Development; Natural Resources Canada","keywords":"Petroleum engineering; Water injection (oil production); Phase (matter); Perforation; Environmental science; Injection well; Enhanced oil recovery; Production rate; Geothermal gradient; Completion (oil and gas wells); Oil production; Wellbore; Geology; Engineering; Process engineering; Chemistry; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002057601,0.0005648561,0.0005441259,0.0003377804,0.0002967666,0.000666559,0.0007362373,0.0008003397,0.001383747],"category_scores_gemma":[0.0002762746,0.0003121575,0.0004001403,0.000223877,0.0003320704,0.0007049227,0.0005693321,0.0003289453,0.000158472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000435725,"about_ca_system_score_gemma":0.0007150982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002234711,"about_ca_topic_score_gemma":0.002279723,"domain_scores_codex":[0.9999137,0.00001093091,0.000004433314,0.00001911321,0.00002727679,0.00002449192],"domain_scores_gemma":[0.9999279,0.00002285955,0.00001708798,0.000005583625,0.00001674007,0.000009997764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001249089,0.00011449,0.0007892612,0.0001645148,0.00003378143,0.000320111,0.00004938046,0.8972459,0.06926913,0.005793593,0.0003879365,0.02570698],"study_design_scores_gemma":[0.00001754734,0.000106763,0.0001395956,0.000004692873,0.0000102288,0.00003378095,0.000014124,0.9919369,0.006550439,0.0005812579,0.0005952285,0.000009468769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3458264,0.001364399,0.6362464,0.0003286926,0.0001102004,0.0002076649,0.0001062828,0.0003514261,0.01545844],"genre_scores_gemma":[0.960206,0.0001896541,0.03759094,0.0000334988,0.000006292251,0.00008045162,0.00002355686,0.00002000568,0.001849601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002234711,"threshold_uncertainty_score":0.004629135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1377656992244657,"score_gpt":0.3751857893598151,"score_spread":0.2374200901353495,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}