{"id":"W3010287246","doi":"10.1021/acsomega.9b04319","title":"Modeling and Simulation of Polymer Flooding with Time-Varying Injection Pressure","year":2020,"lang":"en","type":"article","venue":"ACS Omega","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Porous medium; Enhanced oil recovery; Discretization; Relative permeability; Mechanics; Partial differential equation; Dimensionless quantity; Viscous fingering; Permeability (electromagnetism); Materials science; Polymer; Finite volume method; Finite difference; Work (physics); Porosity; Thermodynamics; Petroleum engineering; Mathematics; Chemistry; Geology; Composite material; Physics; Mathematical analysis","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":[0.0002506877,0.0005488095,0.0006204001,0.0005526219,0.0004960679,0.0007230827,0.0008915633,0.001515456,0.001103597],"category_scores_gemma":[0.0007392112,0.0003019189,0.0007148607,0.0004447796,0.0006126296,0.0005837083,0.0004970438,0.0006074993,0.0001383521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007439676,"about_ca_system_score_gemma":0.001155088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01311245,"about_ca_topic_score_gemma":0.004891917,"domain_scores_codex":[0.9998684,0.00002405361,0.0000094389,0.00002495048,0.00003876756,0.00003442204],"domain_scores_gemma":[0.9996493,0.0001820433,0.00005913745,0.00001865179,0.00006124466,0.00002962262],"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":[0.00002296892,0.0000326067,0.0007399573,0.00002206017,0.000006220458,0.0000744366,0.0000236237,0.9937778,0.003385614,0.0009602499,0.00006925701,0.0008853145],"study_design_scores_gemma":[0.000003046973,0.000008267511,0.00009544291,0.000001111513,0.000001646813,0.000004112595,0.000004002474,0.9991598,0.0005425554,0.00009275397,0.0000849171,0.000002299914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7940425,0.0005610612,0.186366,0.0007234935,0.00009719213,0.0002180193,0.0009225541,0.0009590058,0.01611023],"genre_scores_gemma":[0.9759709,0.0002864344,0.020069,0.00004591493,0.00001156232,0.0002278127,0.0002590045,0.0000424779,0.003086964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01311245,"threshold_uncertainty_score":0.02607226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067541975919588,"score_gpt":0.2184212167424057,"score_spread":0.2077457969832098,"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."}}