{"id":"W3036963299","doi":"10.2118/201212-pa","title":"Nonlinear Model Predictive Control of Steam-Assisted-Gravity-Drainage Well Operations for Real-Time Production Optimization","year":2020,"lang":"en","type":"article","venue":"SPE Production & Operations","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Model predictive control; Nonlinear system; Workflow; Control theory (sociology); Engineering; Process (computing); Computer science; Mathematical optimization; Control (management); Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005883574,0.0007795281,0.0006130268,0.0002475905,0.0004508581,0.0009573884,0.0006449592,0.0005001025,0.001635097],"category_scores_gemma":[0.0008184513,0.000326912,0.0004208684,0.0002570861,0.0006560101,0.0004226031,0.0006891947,0.0008710705,0.0001723489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008984464,"about_ca_system_score_gemma":0.001635323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03300176,"about_ca_topic_score_gemma":0.02295798,"domain_scores_codex":[0.9998247,0.00004210597,0.000007237622,0.0000390067,0.00005397899,0.00003292942],"domain_scores_gemma":[0.9996691,0.0001529456,0.00005137646,0.0000197553,0.00008531414,0.00002151118],"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":[0.00002898946,0.00001266062,0.0001494334,0.00001506836,0.000004694882,0.00001588873,0.00001099376,0.9948783,0.000816513,0.0004805764,0.0001256553,0.003461127],"study_design_scores_gemma":[0.000002007223,0.000006201425,0.0000321616,5.603886e-7,8.681255e-7,4.694311e-7,0.000001785149,0.999667,0.0001303889,0.0001015623,0.00005628384,7.904441e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1466187,0.0002538285,0.8399246,0.0003689352,0.00008330543,0.0001006148,0.0001521091,0.0009328579,0.01156516],"genre_scores_gemma":[0.9840424,0.00005904194,0.01402936,0.00001865276,0.000006743209,0.00005088433,0.00006185884,0.00001903317,0.001712142],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03300176,"threshold_uncertainty_score":0.06561929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043707124531997,"score_gpt":0.266396489016969,"score_spread":0.245959417771649,"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."}}