{"id":"W2586167452","doi":"10.2118/182611-ms","title":"Simulation of Dynamic Steam-Trap Control Technique - Formulation, Implementation, and Performance Analysis","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petroleum engineering; Trap (plumbing); Steam-assisted gravity drainage; Wellbore; Inflow; Computer simulation; Steam injection; Engineering; Process engineering; Environmental science; Nuclear engineering; Mechanics; Simulation; Oil sands; Materials science; Environmental engineering","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0003335817,0.0005896194,0.0005966571,0.0004294255,0.0003877784,0.0006437436,0.0008901958,0.000947563,0.003551449],"category_scores_gemma":[0.0006535168,0.0002232946,0.0004512657,0.0003722672,0.0004635694,0.0003861346,0.0003878436,0.0005179528,0.0002027574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007823928,"about_ca_system_score_gemma":0.0006699472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01616289,"about_ca_topic_score_gemma":0.006871701,"domain_scores_codex":[0.9998616,0.00003029601,0.000008205921,0.00002147139,0.00004162251,0.00003673878],"domain_scores_gemma":[0.999498,0.0002364536,0.00005024803,0.00004289032,0.0001406639,0.00003160333],"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":[0.00005290667,0.00005677898,0.0007661362,0.00002828918,0.000006561583,0.00003625377,0.00001669388,0.9936354,0.002431561,0.0005710305,0.0001268193,0.002271594],"study_design_scores_gemma":[0.000006854044,0.00002738336,0.0001282592,0.00000131001,0.000001820641,0.00000223233,0.000005660762,0.9987973,0.0008852591,0.00005102719,0.00009074598,0.00000211727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8733128,0.0002177841,0.1053794,0.0002007841,0.00006303711,0.0002266082,0.0007521576,0.001026569,0.01882075],"genre_scores_gemma":[0.9868822,0.00005816637,0.01099128,0.00001388406,0.00000407519,0.0001022986,0.0001947298,0.00003063557,0.001722828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01616289,"threshold_uncertainty_score":0.03213757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0282510794034532,"score_gpt":0.347227145048413,"score_spread":0.3189760656449598,"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."}}