{"id":"W2760868655","doi":"10.2118/187378-ms","title":"Hydrate Induced Vibration in an Offshore Pipeline","year":2017,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"GRi Simulations (Canada); Memorial University of Newfoundland","funders":"","keywords":"Flow assurance; Pipeline transport; Multiphase flow; Submarine pipeline; Hydrate; Pipeline (software); Petroleum engineering; Computational fluid dynamics; Deformation (meteorology); Raceway; Fluent; Flow (mathematics); Engineering; Structural engineering; Environmental science; Computer simulation; Geology; Mechanics; Mechanical engineering; Geotechnical engineering; Simulation; Finite element method; Chemistry; Physics","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":[0.0001197489,0.0002049922,0.0001648445,0.0001898955,0.0002251996,0.0001620239,0.0001788674,0.0004232994,0.00106005],"category_scores_gemma":[0.0001665845,0.00009191743,0.0002226871,0.0001182324,0.0003397439,0.0001828477,0.0002689032,0.0001880689,0.00009182464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001722042,"about_ca_system_score_gemma":0.0001591334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001354605,"about_ca_topic_score_gemma":0.0007631036,"domain_scores_codex":[0.9999473,0.000007538396,0.000001924677,0.00001237844,0.00001998314,0.00001078965],"domain_scores_gemma":[0.9999527,0.00001749716,0.000009467391,0.000004834829,0.000009281247,0.00000629436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005932496,0.0002138997,0.03254071,0.0002150258,0.00004460648,0.009574149,0.001074183,0.3337195,0.5906825,0.002615888,0.0009230429,0.02780337],"study_design_scores_gemma":[0.00005520336,0.0009152849,0.05256122,0.00002685719,0.0000320807,0.001229467,0.0007077311,0.8875515,0.05416142,0.00129351,0.001410506,0.00005527137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870776,0.00004476575,0.01119107,0.00007147205,0.000009606958,0.00001166473,0.00004883266,0.0001054067,0.001439446],"genre_scores_gemma":[0.9990879,0.00001611594,0.0004818134,0.00000441982,0.000001232152,0.000003140908,0.00001158473,0.000002410929,0.0003913254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001354605,"threshold_uncertainty_score":0.003546178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03135474243806121,"score_gpt":0.2830981724818813,"score_spread":0.2517434300438202,"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."}}