{"id":"W2486722343","doi":"10.1002/cjce.22416","title":"Preliminary numerical modelling of CO<sub>2</sub> gas foaming in heavy oil and simulations of oil production from heavy oil reservoirs","year":2015,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Japan International Cooperation Agency","keywords":"Cabin pressurization; Enhanced oil recovery; Petroleum engineering; Dissolution; Solubility; Saturation (graph theory); Oil field; Gas oil ratio; Porous medium; Computer simulation; Light crude oil; Reservoir simulation; Materials science; Porosity; Environmental science; Chemistry; Geology; Chemical engineering; Mechanics; Composite material; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003451877,0.0006297829,0.0006903201,0.0003551573,0.0005792332,0.0008979706,0.000778531,0.001959465,0.002935097],"category_scores_gemma":[0.001478098,0.0004465728,0.0007656989,0.0004590363,0.0009870247,0.0006343531,0.000481846,0.0007383705,0.0002301134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001410097,"about_ca_system_score_gemma":0.001015898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02028749,"about_ca_topic_score_gemma":0.007966286,"domain_scores_codex":[0.9998493,0.00002969075,0.00001103997,0.00002423394,0.00003938437,0.00004632751],"domain_scores_gemma":[0.9991289,0.0005480339,0.0001021312,0.00004241306,0.0001259304,0.0000526781],"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":[0.00004843728,0.0000273337,0.001047854,0.00004196769,0.000006969612,0.00006115576,0.00002752041,0.9935938,0.003701605,0.0007124481,0.00007047851,0.000660484],"study_design_scores_gemma":[0.000008234391,0.00001955702,0.0004432868,0.000003681646,0.000003033024,0.000008517211,0.00001102502,0.9977227,0.001457061,0.0001447127,0.0001735452,0.000004696869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9411308,0.0003035452,0.03940348,0.0003916648,0.00006568152,0.0002178329,0.001163262,0.0003664148,0.01695738],"genre_scores_gemma":[0.9864463,0.0001412815,0.009788611,0.00004177397,0.00001000389,0.0001594297,0.0002757437,0.00003303957,0.00310387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02028749,"threshold_uncertainty_score":0.04033881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184357220816308,"score_gpt":0.2113587099502753,"score_spread":0.1929229878686445,"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."}}