{"id":"W2501365774","doi":"10.2118/141651-pa","title":"Improved Drilling Efficiency Technique Using Integrated PDM and PDC Bit Parameters","year":2010,"lang":"en","type":"article","venue":"Journal of Canadian Petroleum Technology","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Rate of penetration; Drilling; Bit (key); Petroleum engineering; Positive displacement meter; Volumetric flow rate; Drilling fluid; Displacement (psychology); Differential pressure; Engineering; Simulation; Mechanical engineering; Computer science; Mechanics","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":[0.0002869786,0.000414824,0.0003254293,0.0004595448,0.0001547517,0.0004054427,0.0004923513,0.0002265609,0.001144818],"category_scores_gemma":[0.0005883056,0.0002621383,0.0002147667,0.0003597356,0.0001806544,0.0003971059,0.0004381058,0.0002761363,0.0002602398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003626833,"about_ca_system_score_gemma":0.000483009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001047078,"about_ca_topic_score_gemma":0.002461547,"domain_scores_codex":[0.9996581,0.00002163467,0.00002104886,0.00004360997,0.0002282997,0.00002726654],"domain_scores_gemma":[0.9997094,0.00006972688,0.0000776176,0.00004003547,0.0000941291,0.000009103042],"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":[0.000297394,0.00008225036,0.006216709,0.0004178143,0.00003153251,0.000120991,0.000133424,0.1825745,0.559338,0.003830582,0.0008740955,0.2460828],"study_design_scores_gemma":[0.0000302529,0.0004258149,0.006034994,0.00002333123,0.00003557731,0.0002198117,0.00005137952,0.5060347,0.4746085,0.0006028088,0.01187155,0.00006116051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2397501,0.0003987583,0.7518051,0.0000918555,0.00002690257,0.0001023515,0.0001869472,0.0009200328,0.006717931],"genre_scores_gemma":[0.771313,0.0001058509,0.226364,0.00001426206,0.000004268066,0.0000502148,0.0001128725,0.00006382558,0.001971834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001144818,"threshold_uncertainty_score":0.003829837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004569339782363585,"score_gpt":0.1780658116027078,"score_spread":0.1734964718203442,"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."}}