{"id":"W2043979973","doi":"10.2118/165444-ms","title":"Coupling of Solvent and Hot Water to Improve Heavy Oil Recovery: Experimental and Simulation Studies","year":2013,"lang":"en","type":"article","venue":"SPE Heavy Oil Conference-Canada","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Petroleum Technology Research Centre","keywords":"Enhanced oil recovery; Petroleum engineering; Solvent; Water injection (oil production); Viscosity; Water flooding; Oil in place; Core (optical fiber); Materials science; Coupling (piping); Computer simulation; Porosity; Environmental science; Chemistry; Geology; Petroleum; Mechanics; Composite material; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008271298,0.0002403996,0.0003633822,0.00005885928,0.00006513298,0.00005027441,0.00008796556,0.00006495912,0.00008367139],"category_scores_gemma":[0.00003338125,0.000212308,0.00002210442,0.0000556429,0.00004723652,0.0002006344,0.00009172537,0.0001236629,0.000002862066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003303626,"about_ca_system_score_gemma":0.0001675471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5020369,"about_ca_topic_score_gemma":0.6496353,"domain_scores_codex":[0.9988088,0.000009287007,0.0003376028,0.0002706724,0.0002408293,0.000332786],"domain_scores_gemma":[0.9993836,0.00009798395,0.00004095315,0.0001917728,0.0001461548,0.0001395393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002596915,0.0000764516,0.0007559817,0.001842833,0.0004950822,0.00001936462,0.004130996,0.07821745,0.7238969,0.0001785543,0.008521067,0.1816056],"study_design_scores_gemma":[0.0003672162,0.0002130043,0.000393345,0.0002778732,0.00001772778,0.000002376906,0.001890409,0.06023974,0.9341824,0.0001996825,0.001739316,0.0004769161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968582,0.0009566188,0.0003170802,0.0002052662,0.0004012045,0.0001192023,0.00002558785,0.00008050157,0.001036344],"genre_scores_gemma":[0.9978282,0.0005126885,0.001057295,0.0001113939,0.00004256607,0.00007215366,0.000007795845,0.00003132137,0.0003366077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2102855,"threshold_uncertainty_score":0.8657669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854312426536973,"score_gpt":0.2473058213470637,"score_spread":0.228762697081694,"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."}}