{"id":"W2377495553","doi":"","title":"The Two-dimensional Heat Transfer Model and Wellbore Temperature Distribution of Aerated Under- balanced Drilling","year":2013,"lang":"en","type":"article","venue":"Journal of Oil and Gas Technology","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Annulus (botany); Underbalanced drilling; Heat transfer; Wellbore; Drilling; Petroleum engineering; Mechanics; Aeration; Drilling fluid; Geology; Thermodynamics; Materials science; Engineering; Mechanical engineering; Waste management; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003475863,0.0006621517,0.0007636994,0.0004544779,0.0005592512,0.001417469,0.001172911,0.001427405,0.001576255],"category_scores_gemma":[0.000769803,0.0005780499,0.0007996176,0.0004247639,0.0009203206,0.001496495,0.0005782727,0.0006677538,0.0002172292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009477062,"about_ca_system_score_gemma":0.001010091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01529863,"about_ca_topic_score_gemma":0.004968239,"domain_scores_codex":[0.9997347,0.00005287438,0.00001299648,0.00008340963,0.00006622263,0.00004978028],"domain_scores_gemma":[0.9997943,0.00008283653,0.00003389113,0.0000105978,0.00006360075,0.00001483985],"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":[0.00004636976,0.00002501988,0.0007849727,0.00004942489,0.000008218483,0.0001429531,0.00008583398,0.9865705,0.006100595,0.00423317,0.000194027,0.00175896],"study_design_scores_gemma":[0.000004432917,0.000008218504,0.000119928,0.000001752138,0.000002219643,0.00001149353,0.00001093789,0.9990006,0.0003657509,0.0003702829,0.00009888251,0.000005504236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3509758,0.001043467,0.6257331,0.000713438,0.0001587817,0.0001339224,0.0004691647,0.0003986331,0.02037361],"genre_scores_gemma":[0.9891208,0.0002986473,0.004455158,0.00002578657,0.00001327305,0.00008046679,0.00008723499,0.00002198018,0.005896672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01529863,"threshold_uncertainty_score":0.03041917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003482016524434093,"score_gpt":0.1777335598532851,"score_spread":0.174251543328851,"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."}}