{"id":"W4233408975","doi":"10.2118/05-09-tn","title":"Solvent Co-Injection in SAGD: Prediction of Some Operational Issues","year":2005,"lang":"en","type":"article","venue":"Journal of Canadian Petroleum Technology","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Monash University; Royal Australian Chemical Institute; Royal Society of Chemistry; Royal Society; Chemical Institute of Canada; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Dissolution; Solvent; Chemistry; Carbon dioxide; Steam injection; Oil sands; Petroleum engineering; Enhanced oil recovery; Hydrocarbon; Fossil fuel; Viscosity; Hydrogen; Work (physics); Water injection (oil production); Chemical engineering; Thermodynamics; Organic chemistry; Materials science; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007923,0.0006288209,0.0004802952,0.0007355697,0.0003029766,0.0007219219,0.0006595408,0.001046943,0.00084831],"category_scores_gemma":[0.002332422,0.0003043674,0.0004721554,0.0005603757,0.0005384132,0.0009196938,0.000513175,0.0006486514,0.0001388969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001153173,"about_ca_system_score_gemma":0.0004961516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01382545,"about_ca_topic_score_gemma":0.004504701,"domain_scores_codex":[0.9998515,0.00003401372,0.000009270401,0.00003250955,0.00003851066,0.00003422003],"domain_scores_gemma":[0.998446,0.001054963,0.0001412268,0.00005722416,0.0002175596,0.00008294127],"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":[0.0002726406,0.0003219009,0.05082619,0.0001355427,0.00003366878,0.0004353978,0.0000499985,0.9163566,0.008814326,0.001245377,0.0003932366,0.02111512],"study_design_scores_gemma":[0.000005688707,0.00005319854,0.002582075,0.000001798364,0.000004211347,0.00001422705,0.00001413518,0.9948461,0.002195264,0.0002113253,0.00006634994,0.000005692294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827318,0.0004021429,0.0147232,0.0002615784,0.00001135842,0.00002847439,0.0002215342,0.0002010106,0.001419038],"genre_scores_gemma":[0.998742,0.00005822943,0.001040132,0.00000478384,0.000002637225,0.000006002397,0.00005313158,0.000003847951,0.00008920993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01382545,"threshold_uncertainty_score":0.02748996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006300455905787161,"score_gpt":0.2214545312238668,"score_spread":0.2151540753180796,"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."}}