{"id":"W2013869951","doi":"10.2118/144963-ms","title":"Optimization of Solvent Additive SAGD Applications using Hybrid Optimization Techniques","year":2011,"lang":"en","type":"article","venue":"All Days","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Saudi Aramco","keywords":"Simulated annealing; Steam-assisted gravity drainage; Genetic algorithm; Petroleum engineering; Steam injection; Net present value; Environmental science; Computer science; Process engineering; Mathematical optimization; Engineering; Materials science; Oil sands; Mathematics; Asphalt; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004985867,0.0006186265,0.0005487467,0.0008087161,0.0002269254,0.0007261321,0.0003766442,0.0005711074,0.001052247],"category_scores_gemma":[0.0006255383,0.0003186757,0.0007808064,0.0005498818,0.0002983319,0.0002936893,0.0004688775,0.0003434044,0.0001274563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004776373,"about_ca_system_score_gemma":0.0005840609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002897241,"about_ca_topic_score_gemma":0.002780852,"domain_scores_codex":[0.9998119,0.00005007846,0.0000108269,0.00002990641,0.00006339778,0.00003382092],"domain_scores_gemma":[0.9997476,0.000134331,0.00003509815,0.00001299991,0.00005627104,0.00001379057],"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":[0.00003219143,0.0000469096,0.0004944922,0.00005481375,0.00002059385,0.00003528315,0.00001087168,0.9842494,0.004999188,0.0005575721,0.00008800316,0.009410704],"study_design_scores_gemma":[0.000008627105,0.00008020434,0.0002004702,0.000004978037,0.00001041802,0.000008018686,0.00001111423,0.9972764,0.001851109,0.0002134709,0.0003313919,0.000003856985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5142629,0.001054095,0.4717255,0.000206,0.00005725068,0.0001602437,0.0001425351,0.0003851524,0.01200623],"genre_scores_gemma":[0.9383466,0.0002091769,0.05972404,0.00003882591,0.000005726456,0.0001044468,0.00007462466,0.00003164511,0.001464887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002897241,"threshold_uncertainty_score":0.005760789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03668121850566068,"score_gpt":0.2729188126892593,"score_spread":0.2362375941835986,"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."}}