{"id":"W4392970880","doi":"10.2139/ssrn.4765326","title":"Dynamic Filtration Loss Control Through Optimization of Drilling Fluid Rheological Properties: A Comparative Study of the Fluid Viscoelasticity Versus Shear Viscosity Effects","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Viscoelasticity; Drilling fluid; Rheology; Viscosity; Shear rate; Filtration (mathematics); Shear (geology); Materials science; Non-Newtonian fluid; Apparent viscosity; Herschel–Bulkley fluid; Mechanics; Drilling; Geology; Geotechnical engineering; Composite material; Mathematics; Physics","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":[0.0002936339,0.0005218646,0.000412121,0.0003068039,0.000167281,0.000820704,0.000297967,0.000338984,0.000455628],"category_scores_gemma":[0.0006383135,0.0001354771,0.0002369407,0.0002631021,0.0001972691,0.0005070241,0.0002398565,0.0002463239,0.0001088539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001555768,"about_ca_system_score_gemma":0.0002897324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006106464,"about_ca_topic_score_gemma":0.0005065473,"domain_scores_codex":[0.999881,0.0000129754,0.000008881627,0.00003254811,0.00003685445,0.00002768557],"domain_scores_gemma":[0.9996791,0.00009986421,0.0001048379,0.0000272846,0.00007167948,0.00001732909],"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":[0.0006656964,0.0004162817,0.001458277,0.0003528545,0.0000518368,0.0000717067,0.00007976591,0.06576609,0.8579322,0.0005685465,0.0001606698,0.07247598],"study_design_scores_gemma":[0.00005409381,0.001594606,0.008157354,0.00002511319,0.0001518777,0.0001277355,0.00006746968,0.3693758,0.6184121,0.0003661432,0.001625869,0.00004179997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9005219,0.001043864,0.09604677,0.0000633084,0.00002277071,0.0000298941,0.00004619636,0.0001895059,0.002035878],"genre_scores_gemma":[0.9948211,0.0001524716,0.004714011,0.000005695522,0.000002913411,0.000007623218,0.00001640942,0.00001666775,0.0002629993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000820704,"threshold_uncertainty_score":0.00155288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473950442241481,"score_gpt":0.2582227741192747,"score_spread":0.2434832696968599,"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."}}