{"id":"W1994342589","doi":"10.2118/64998-ms","title":"Setting Rheological Targets for Chemical Solutions in Mud Removal and Cement Slurry Design","year":2001,"lang":"en","type":"article","venue":"SPE International Symposium on Oilfield Chemistry","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Rheology; Drilling fluid; Casing; Fluid mechanics; Slurry; Cement; Annulus (botany); Petroleum engineering; Bingham plastic; Geotechnical engineering; Fluid dynamics; Geology; Materials science; Mechanics; Engineering; Mechanical engineering; Composite material; Drilling","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":[0.0008097277,0.000553726,0.0004848773,0.0004231088,0.0002611383,0.001276901,0.0006590855,0.0008113752,0.002007233],"category_scores_gemma":[0.001748122,0.0003121239,0.0002402678,0.0001338679,0.0006040564,0.0008601299,0.0007742565,0.0006772132,0.0004945839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005221544,"about_ca_system_score_gemma":0.0007146788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006033205,"about_ca_topic_score_gemma":0.0005990521,"domain_scores_codex":[0.9997739,0.00007675809,0.0000133273,0.00004231105,0.00005540533,0.00003828723],"domain_scores_gemma":[0.9992587,0.0003866783,0.0001464071,0.00004992641,0.0001164533,0.00004183835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002649437,0.0003912077,0.003308608,0.0004468996,0.00003212366,0.0001184721,0.0001455093,0.7751324,0.1538021,0.01879109,0.0007254664,0.0468413],"study_design_scores_gemma":[0.0000332425,0.0002839576,0.0005018552,0.00002425861,0.0000171265,0.00002274829,0.00008330364,0.9471355,0.04595523,0.003855582,0.002070923,0.00001611088],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4182777,0.0008007596,0.5675462,0.0008889979,0.00006939708,0.0002121201,0.00007430772,0.0004554596,0.01167506],"genre_scores_gemma":[0.9494675,0.0001935382,0.04941719,0.00004164372,0.000009341077,0.00007711675,0.00002180942,0.00003562296,0.000736134],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002007233,"threshold_uncertainty_score":0.00671488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409521655190506,"score_gpt":0.2191257110997656,"score_spread":0.2050304945478605,"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."}}