{"id":"W2131327528","doi":"10.2118/117109-ms","title":"Real-Time Drill Bit Wear Prediction by Combining Rock Energy and Drilling Strength Concepts","year":2008,"lang":"en","type":"article","venue":"Abu Dhabi International Petroleum Exhibition and Conference","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Rate of penetration; Drilling; Drill bit; Penetration rate; Petroleum engineering; Bit (key); Specific energy; Drill; Measurement while drilling; Drilling engineering; Offshore drilling; Drilling fluid; Penetration depth; Oil field; Computer science; Mechanical engineering; Geology; Engineering","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":[0.000280493,0.0005594747,0.0003908694,0.001920029,0.0001163343,0.0004893286,0.0002776516,0.0004204337,0.0007523553],"category_scores_gemma":[0.001028044,0.0002709373,0.0003172114,0.000650411,0.0001619147,0.0004968254,0.0002007933,0.0002331859,0.0002776024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000222014,"about_ca_system_score_gemma":0.0001794749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003729346,"about_ca_topic_score_gemma":0.005710966,"domain_scores_codex":[0.9998535,0.00002088117,0.00001501933,0.00003273742,0.00006207236,0.00001574949],"domain_scores_gemma":[0.9993523,0.0002444678,0.0001568327,0.00003669937,0.0001733054,0.00003644477],"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":[0.0007936935,0.0002700119,0.1554355,0.000213614,0.0001358085,0.0003718951,0.0001127624,0.6199272,0.06140768,0.000209821,0.0005243948,0.1605977],"study_design_scores_gemma":[0.000005399354,0.00009352065,0.02242015,0.000007307973,0.00001225475,0.00004727929,0.0000285846,0.9732886,0.00391263,0.00008362599,0.00008833507,0.00001233406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9282423,0.0001653707,0.06981926,0.00003953876,0.00001687042,0.00003472258,0.0002829862,0.000536728,0.0008623854],"genre_scores_gemma":[0.9941445,0.00002751306,0.005487765,0.000003857076,0.000002120629,0.000008934083,0.00009187408,0.000006841348,0.0002265705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003729346,"threshold_uncertainty_score":0.007415295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006171682594599704,"score_gpt":0.190322561654036,"score_spread":0.1841508790594363,"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."}}