{"id":"W2587635100","doi":"10.2118/182652-ms","title":"Model Order Reduction and Control Polynomial Approximation for Well-Control Production Optimization","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CMG Reservoir Simulation Foundation","keywords":"Mathematical optimization; Parametrization (atmospheric modeling); Mathematics; Applied mathematics; Model order reduction; Polynomial; Interpolation (computer graphics); Computer science; Algorithm","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005427917,0.0002453641,0.0002848151,0.0001607426,0.0004724801,0.0003531081,0.0002033117,0.000193219,0.00002669426],"category_scores_gemma":[0.0007370208,0.000261501,0.00005866795,0.00009196245,0.00006656859,0.001057016,0.00002086593,0.0001628332,0.000004517307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007951303,"about_ca_system_score_gemma":0.00004728221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001131235,"about_ca_topic_score_gemma":0.000005557224,"domain_scores_codex":[0.9986662,0.00005579084,0.0003972239,0.0003735877,0.0002280259,0.0002791213],"domain_scores_gemma":[0.9985367,0.0001191511,0.0001680609,0.000569758,0.0005013322,0.0001049937],"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":[0.0001379506,0.00001247734,0.0001294681,0.0001169127,0.00003540914,1.214905e-7,0.0001243168,0.9947026,0.002199907,0.0001992685,0.00008523033,0.002256309],"study_design_scores_gemma":[0.00217533,0.00003326257,0.0003607323,0.00003980201,0.00004399409,0.000001722437,0.00002231817,0.9953811,0.0006426965,0.0007437216,0.0002788597,0.0002764575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1029283,0.00006344193,0.8940308,0.0005490445,0.000564926,0.0009622215,0.00002117344,0.0002878762,0.0005922223],"genre_scores_gemma":[0.9176292,0.00006740086,0.08132383,0.000007172653,0.0003825664,0.0000889295,0.00004409276,0.00004928418,0.000407499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8147009,"threshold_uncertainty_score":0.9999837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04322510909024137,"score_gpt":0.3045111406577333,"score_spread":0.261286031567492,"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."}}