{"id":"W2807054192","doi":"10.1007/s13202-018-0482-z","title":"An improved procedure for generating pseudorelative permeabilities for water flooding in stratified reservoirs","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Exploration and Production Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Hibernia Management and Development Company","keywords":"Permeability (electromagnetism); Mechanics; Relative permeability; Constant (computer programming); Reservoir simulation; Volumetric flow rate; Petroleum engineering; Reservoir engineering; Geology; Geotechnical engineering; Porosity; Chemistry; Computer science; Physics; Petroleum","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005004863,0.0004655689,0.0003463434,0.0007853632,0.0003835833,0.0004687238,0.0008886618,0.000441229,0.003702912],"category_scores_gemma":[0.002137178,0.0003287908,0.0005959334,0.0004264277,0.0002791279,0.0008856876,0.0007316038,0.0006482095,0.0006953865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002912129,"about_ca_system_score_gemma":0.0008638618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001799737,"about_ca_topic_score_gemma":0.001933774,"domain_scores_codex":[0.9997818,0.00004025277,0.00001936543,0.00003456076,0.0001027363,0.00002137356],"domain_scores_gemma":[0.9993477,0.0003016954,0.00005736789,0.0001077123,0.0001661031,0.00001938969],"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":[0.0001343046,0.00009662348,0.002252924,0.0002994074,0.00004314195,0.000470766,0.000632266,0.5062919,0.1372365,0.03900703,0.00275658,0.3107786],"study_design_scores_gemma":[0.00001944892,0.00004157413,0.0003465699,0.00001223399,0.000006928031,0.0001064634,0.00002845853,0.9502377,0.03808181,0.004353405,0.006734628,0.00003076062],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006901316,0.00001022353,0.9909537,0.00001369482,0.000008698294,0.00003738006,0.00006501832,0.001302352,0.0007075875],"genre_scores_gemma":[0.1525164,0.00004504212,0.8451087,0.00002132785,0.000005812605,0.0001582215,0.0002248445,0.0008588699,0.001060694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003702912,"threshold_uncertainty_score":0.01238745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513267720338397,"score_gpt":0.2890531089938757,"score_spread":0.2639204317904917,"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."}}