{"id":"W2093410132","doi":"10.2118/121417-ms","title":"An Experimental Study of the Pore-Blocking Mechanisms of Aphron Drilling Fluids Using Micromodels","year":2009,"lang":"en","type":"article","venue":"SPE International Symposium on Oilfield Chemistry","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Micromodel; Microbubbles; Drilling fluid; Porous medium; Petroleum engineering; Enhanced oil recovery; Blocking (statistics); Materials science; Rheology; Porosity; Chemical engineering; Geology; Drilling; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006591988,0.0001487112,0.0001510418,0.00002808332,0.00003162619,0.00001849443,0.0003576667,0.00008012706,0.00004145516],"category_scores_gemma":[0.000004636899,0.0001369916,0.00007501245,0.00006861529,0.0000121238,0.00006574149,0.00002533561,0.0001497522,3.495428e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006916735,"about_ca_system_score_gemma":0.000007469639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001981808,"about_ca_topic_score_gemma":5.550614e-7,"domain_scores_codex":[0.9991292,0.000006041173,0.000291209,0.0001612193,0.0002826155,0.0001297187],"domain_scores_gemma":[0.9995878,0.00001715545,0.00006106709,0.0002582245,0.00003869196,0.00003708027],"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":[0.000006275673,0.0001387519,0.00002403681,0.00001132953,0.00002377368,0.000001580916,0.0002756699,0.4169809,0.5823959,0.00006481047,0.000002391953,0.00007464234],"study_design_scores_gemma":[0.0002265141,0.00006773508,0.000007094668,0.0000887576,0.000009629611,0.000006846487,0.0002702524,0.2380332,0.7610775,0.0001055158,0.000006911133,0.0001000308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815422,0.00003476557,0.01350956,0.00003393595,0.0004542967,0.00006731827,0.000004999562,0.00006351165,0.004289415],"genre_scores_gemma":[0.9989493,0.000007215669,0.000817587,0.00001736818,0.000137744,0.000002050941,0.00000521068,0.0000195554,0.0000439784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1789477,"threshold_uncertainty_score":0.5586357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008572217736941936,"score_gpt":0.2322674723572814,"score_spread":0.2236952546203394,"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."}}