{"id":"W3163111723","doi":"10.2118/204194-ms","title":"Reservoir Quality Versus Completion Intensity: An Application of Supervised Fuzzy Clustering on Western Canadian Well Data","year":2021,"lang":"en","type":"article","venue":"SPE Hydraulic Fracturing Technology Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Completion (oil and gas wells); Petroleum engineering; Productivity; Intensity (physics); Quality (philosophy); Environmental science; Cluster analysis; Fuzzy logic; Reservoir modeling; Hydrology (agriculture); Computer science; Data mining; Statistics; Geology; Artificial intelligence; Mathematics; Geotechnical engineering","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":[0.003117468,0.0008735395,0.0006854084,0.004885612,0.001319823,0.001325552,0.001255441,0.000731739,0.0004879515],"category_scores_gemma":[0.008692726,0.0002791856,0.00112539,0.004518713,0.0005411181,0.0004566991,0.0006352603,0.0006140703,0.0001368963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00798566,"about_ca_system_score_gemma":0.006115288,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.876297,"about_ca_topic_score_gemma":0.8745981,"domain_scores_codex":[0.9986118,0.0002870098,0.0001318864,0.0003679256,0.0003940345,0.0002072707],"domain_scores_gemma":[0.9945378,0.001593474,0.0004682845,0.0004108822,0.002748345,0.0002412576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006925234,0.0003468344,0.5275246,0.0002498884,0.0007899722,0.0003530264,0.0008217251,0.3389323,0.004424974,0.0009495908,0.006414419,0.1185001],"study_design_scores_gemma":[0.00002476712,0.00004484763,0.1945463,0.00002209037,0.00006828209,0.00003499943,0.000694767,0.8015813,0.001308672,0.0004483213,0.001170692,0.00005497331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676477,0.0003649493,0.02235162,0.0002501337,0.00002564375,0.0002524891,0.00752012,0.0004910306,0.0010963],"genre_scores_gemma":[0.9639528,0.00008796732,0.02696198,0.00002316522,0.000009703012,0.00005990114,0.008448903,0.00002399525,0.0004316693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.123703,"threshold_uncertainty_score":0.248863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07103672034240446,"score_gpt":0.3155112008919085,"score_spread":0.2444744805495041,"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."}}