{"id":"W3128029343","doi":"10.1364/es.2020.em3c.5","title":"Multiphase Flow Characterization and Modeling Using Distributed Fiber Optic Sensors to Prevent Well Blowout","year":2020,"lang":"en","type":"article","venue":"Optical Sensors and Sensing Congress","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Schlumberger (Canada)","funders":"","keywords":"Distributed acoustic sensing; Wellbore; Optical fiber; Multiphase flow; Flow (mathematics); Characterization (materials science); Fiber optic sensor; Petroleum engineering; Materials science; Fiber; Acoustics; Geology; Computer science; Environmental science; Mechanics; Nanotechnology; Telecommunications; Composite material; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009583309,0.0002474579,0.0003393806,0.00006229695,0.0001430137,0.0001683873,0.00003879871,0.00009911785,0.00002391764],"category_scores_gemma":[0.00008725667,0.0002410363,0.00005843116,0.000196629,0.0000381838,0.00011261,0.00004236895,0.0001536091,0.00001578343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003142055,"about_ca_system_score_gemma":0.000005984761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008550157,"about_ca_topic_score_gemma":0.000001917978,"domain_scores_codex":[0.9987998,0.00003728081,0.0003009759,0.0003359059,0.0002044961,0.0003215442],"domain_scores_gemma":[0.9993436,0.0000404985,0.00002541151,0.0001188548,0.00008555071,0.0003860557],"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":[0.00003531198,0.0000186951,0.00005007083,0.00008931319,0.0000935264,0.00006340512,0.0003481389,0.8485362,0.1443043,0.000008909336,0.0000133352,0.006438759],"study_design_scores_gemma":[0.0003347697,0.00002483572,0.00003430538,0.00009872313,0.0001470155,0.000016042,0.00006267421,0.9915916,0.006997254,0.00000162766,0.0003819718,0.0003091675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.949887,0.00005060028,0.04921437,0.000360611,0.00010597,0.000180453,0.00002943915,0.0001288163,0.00004278032],"genre_scores_gemma":[0.9831734,0.000029659,0.01642693,0.00007835833,0.0001456486,6.176937e-7,0.00005401424,0.00004109209,0.00005032179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1430554,"threshold_uncertainty_score":0.9829174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02536257812790071,"score_gpt":0.2293431003203668,"score_spread":0.2039805221924661,"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."}}