{"id":"W2042481349","doi":"10.2118/166371-ms","title":"A New Method for Modeling Bypassed Oil Recovery in EOS Compositional Simulation","year":2013,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Enhanced oil recovery; Residual oil; Residual; Multiphase flow; Petroleum engineering; Reservoir simulation; Fraction (chemistry); Mechanics; Computer science; Geology; Chemistry; Physics; Algorithm","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":[0.0004849794,0.0006089798,0.0004757382,0.000615205,0.0004388989,0.0004996493,0.001015951,0.0008648332,0.002123574],"category_scores_gemma":[0.0009829173,0.0003258857,0.0007368782,0.0003498491,0.0005302977,0.0006588519,0.0007739534,0.0008353203,0.0003257416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000534737,"about_ca_system_score_gemma":0.001064566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007229039,"about_ca_topic_score_gemma":0.005378871,"domain_scores_codex":[0.9998633,0.00003400254,0.00000971027,0.00002103532,0.00005393301,0.0000181744],"domain_scores_gemma":[0.9997075,0.0001080306,0.00003489699,0.00003698935,0.0000825442,0.00002998713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005472493,0.00007763854,0.001490282,0.00008661669,0.00002837056,0.0001152233,0.00006235315,0.9360534,0.01571723,0.01471973,0.0005449845,0.03104938],"study_design_scores_gemma":[0.000002785821,0.000005484417,0.00003224681,0.000001920081,0.000001134454,0.000005273789,0.000001586056,0.9987097,0.000478549,0.0003441965,0.0004154103,0.000001727337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0326667,0.0001465367,0.9620796,0.0001125944,0.00006750418,0.0001175307,0.000155872,0.000750049,0.003903589],"genre_scores_gemma":[0.5309171,0.0002508609,0.4628531,0.0001123452,0.00005744475,0.0004127113,0.0002955603,0.0003649414,0.004735876],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007229039,"threshold_uncertainty_score":0.0143739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03312149903759216,"score_gpt":0.3183840861435372,"score_spread":0.285262587105945,"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."}}