{"id":"W2059689106","doi":"10.1016/j.petrol.2012.09.008","title":"Optimization of SAGD and solvent additive SAGD applications: Comparative analysis of optimization techniques with improved algorithm configuration","year":2012,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Saudi Aramco","keywords":"Optimization algorithm; Algorithm; Solvent; Petroleum engineering; Mathematical optimization; Computer science; Engineering; Mathematics; Chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007090853,0.000654964,0.0009864043,0.000906399,0.0003483885,0.0008433218,0.0006175878,0.0008102692,0.002240393],"category_scores_gemma":[0.001705677,0.0003448816,0.0006872572,0.001027914,0.000290672,0.0007297898,0.0004820697,0.0004412216,0.0002834152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003937418,"about_ca_system_score_gemma":0.0006877561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002360428,"about_ca_topic_score_gemma":0.002494875,"domain_scores_codex":[0.9997113,0.0001190201,0.00001735274,0.00002724959,0.00008710459,0.00003781799],"domain_scores_gemma":[0.9992661,0.0004265881,0.00006175338,0.00006821475,0.0001598637,0.00001748206],"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":[0.0002087088,0.0001201988,0.000753211,0.0001278908,0.00003433688,0.00003696007,0.00003592971,0.9278639,0.004177424,0.001385875,0.0003381149,0.06491744],"study_design_scores_gemma":[0.00002363519,0.0001352037,0.0004640644,0.000007499096,0.00002077848,0.00001604111,0.0000210053,0.9956141,0.002872133,0.000290113,0.0005290076,0.000006437439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4256041,0.001718711,0.5509565,0.0003053599,0.000090953,0.0001561616,0.0001834269,0.0009477736,0.02003683],"genre_scores_gemma":[0.8927003,0.0004619981,0.1043802,0.00003838972,0.00001552212,0.0001025727,0.0001201841,0.0001488921,0.002032042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002360428,"threshold_uncertainty_score":0.007494867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058287361055688,"score_gpt":0.2615898234652402,"score_spread":0.2510069498546833,"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."}}