{"id":"W3205851034","doi":"10.1115/omae2021-62956","title":"Experimental, Numerical, and Statistical Investigation of Two Phase Flow in a Cylindrical Perforation Tunnel","year":2021,"lang":"en","type":"article","venue":"Volume 10: Petroleum Technology","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Perforation; Petroleum engineering; Volumetric flow rate; Fluent; Computer simulation; Flow (mathematics); Fluid dynamics; Drilling fluid; Permeability (electromagnetism); Mechanics; Viscosity; Volume of fluid method; Numerical analysis; Materials science; Engineering; Mechanical engineering; Drilling; Simulation; Mathematics; Chemistry; Composite material","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":[0.00008772549,0.0001364588,0.0003083652,0.0003381587,0.00003839618,0.00001797787,0.00009079545,0.0001757223,0.0002796358],"category_scores_gemma":[0.00009187339,0.0001422289,0.00003457049,0.0005039632,0.0001566255,0.00007785414,0.00005516642,0.0002667588,0.00002287006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000742394,"about_ca_system_score_gemma":0.00003340071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003898718,"about_ca_topic_score_gemma":0.00002508639,"domain_scores_codex":[0.999025,0.00004162977,0.0003286294,0.0002468128,0.0001358731,0.0002220128],"domain_scores_gemma":[0.9995913,0.0000361026,0.00003624114,0.0002271067,0.00003811296,0.000071172],"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":[0.00008458809,0.0007417661,0.02484445,0.0002625097,0.0002566126,0.0003356909,0.0009467909,0.5488731,0.399877,0.000624343,0.002537686,0.02061548],"study_design_scores_gemma":[0.001207191,0.000139246,0.0009610515,0.00002086002,0.00002357026,0.0000273786,0.0002882298,0.9168419,0.07934304,0.0003242729,0.0006762598,0.0001470458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9291561,0.0007972606,0.06912431,0.0004794012,0.00005235208,0.00004144789,0.00001284607,0.0001693524,0.0001669224],"genre_scores_gemma":[0.9919536,0.00003733436,0.007760696,0.00001539595,0.0000256098,0.00003037291,0.00005684547,0.00001970979,0.0001004412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3679688,"threshold_uncertainty_score":0.5799925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008514756133279547,"score_gpt":0.2516236461608631,"score_spread":0.2431088900275836,"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."}}