{"id":"W4386328143","doi":"10.1002/cjce.25072","title":"Simulating the displacement of a heavy oil by a lighter oil in an offshore production line","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Submarine pipeline; Petroleum engineering; Displacement (psychology); Natural convection; Flow assurance; Pipeline (software); Heat transfer; Turbulence; Volume (thermodynamics); Environmental science; Marine engineering; Flow (mathematics); Fluid dynamics; Pipeline transport; Mechanics; Diesel fuel; Computational fluid dynamics; Line (geometry); Engineering; Waste management; Mechanical engineering; Geotechnical engineering; Environmental engineering; Physics; Chemistry; Thermodynamics","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":[0.000196146,0.0004042462,0.0003483387,0.0003000574,0.0004621322,0.0004637838,0.0005072634,0.0009211935,0.001470595],"category_scores_gemma":[0.000570101,0.0002300689,0.0003843617,0.0001825211,0.0004594772,0.0002686997,0.0003372679,0.0004269111,0.000119783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008433179,"about_ca_system_score_gemma":0.0007563081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01855634,"about_ca_topic_score_gemma":0.01027124,"domain_scores_codex":[0.9999027,0.00001718937,0.000003899801,0.00001457137,0.00002635813,0.00003525722],"domain_scores_gemma":[0.9996381,0.000211566,0.0000464336,0.00001790728,0.00004551617,0.00004038478],"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":[0.0003243993,0.0001868888,0.005226933,0.0000562097,0.00001495628,0.000420528,0.0001130999,0.9664234,0.02346171,0.000315698,0.0001200984,0.003336058],"study_design_scores_gemma":[0.00004247203,0.0003994632,0.001955549,0.000005410213,0.000009906279,0.00002372919,0.0001243878,0.9869406,0.01021878,0.00006467262,0.0002045202,0.00001048759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957841,0.00001406812,0.002938479,0.00003145789,0.000005158332,0.00002444921,0.00005345084,0.00003809969,0.001110806],"genre_scores_gemma":[0.9984058,0.00001058042,0.0009920645,0.000005747378,6.42452e-7,0.00001120315,0.00002479045,0.000004189984,0.0005449511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01855634,"threshold_uncertainty_score":0.03689665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009390261468627792,"score_gpt":0.2211813474880122,"score_spread":0.2117910860193844,"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."}}