{"id":"W3205272161","doi":"10.1115/omae2021-62537","title":"Numerical Analysis of Cuttings Accumulation Tendency in Horizontal Annulus at Different Drilling Conditions","year":2021,"lang":"en","type":"article","venue":"Volume 10: Petroleum Technology","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Annulus (botany); Mechanics; Pressure drop; Computational fluid dynamics; Rotational speed; Mass flow rate; Turbulence; Drill pipe; Drilling; Eccentricity (behavior); Drilling fluid; Geotechnical engineering; Geology; Materials science; Physics; Engineering; Mechanical engineering; Classical mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002936266,0.0002527888,0.0003556859,0.0006061274,0.0003222512,0.0005044266,0.0002864922,0.0004734683,0.001210604],"category_scores_gemma":[0.000587676,0.0001773928,0.0003426523,0.0004871954,0.0003877629,0.0002617307,0.0002230599,0.0002082783,0.00008070839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002558488,"about_ca_system_score_gemma":0.0002607449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002359985,"about_ca_topic_score_gemma":0.001581021,"domain_scores_codex":[0.9998939,0.00001370887,0.00000974942,0.00002064173,0.00003689815,0.00002497034],"domain_scores_gemma":[0.9995816,0.0001920913,0.00008967585,0.00002471114,0.00007925897,0.00003263495],"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":[0.0004800075,0.0001995534,0.02426918,0.0003391191,0.00004364259,0.001115534,0.0004262544,0.8379935,0.1109227,0.001770608,0.00041174,0.02202821],"study_design_scores_gemma":[0.00001501392,0.000209355,0.007130669,0.00001313173,0.00001342702,0.00007107609,0.0001282306,0.980177,0.01177346,0.0001920877,0.0002558219,0.0000206131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858305,0.0001080468,0.01187145,0.00003660868,0.00001725772,0.00001943768,0.00008095495,0.0001636795,0.00187207],"genre_scores_gemma":[0.9940672,0.00004312291,0.005398567,0.000004022939,0.000001745099,0.00001252684,0.00004510183,0.000007463,0.0004202198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002359985,"threshold_uncertainty_score":0.004692495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007705381123373789,"score_gpt":0.2280465476283856,"score_spread":0.2203411665050118,"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."}}