{"id":"W4392117832","doi":"10.1016/j.cherd.2024.02.029","title":"Experimental and numerical modeling of a novel surfactant flooding: Core scale to reservoir models","year":2024,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"SINOPEC Petroleum Exploration and Production Research Institute; University of Calgary","keywords":"Enhanced oil recovery; Pulmonary surfactant; Petroleum engineering; Reservoir simulation; Water flooding; Porous medium; Oil in place; Bridging (networking); Scale model; Relative permeability; Environmental science; Process engineering; Materials science; Computer science; Chemistry; Porosity; Chemical engineering; Engineering; Geotechnical engineering; Aerospace engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008507557,0.0001379846,0.0001383581,0.00006215936,0.00006086594,0.00002101809,0.00004303189,0.00007562716,0.000007949927],"category_scores_gemma":[0.000002761564,0.0001394521,0.00002344031,0.00008969138,0.00003120633,0.0003484909,0.00004907968,0.0001479591,0.000001199727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001149115,"about_ca_system_score_gemma":0.000003539457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000240572,"about_ca_topic_score_gemma":0.000001187049,"domain_scores_codex":[0.9992982,0.000004930586,0.000188324,0.0002358566,0.0001338752,0.0001387849],"domain_scores_gemma":[0.9998392,0.000007901188,0.00001275274,0.00007137625,0.00000290713,0.00006580194],"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":[0.00007734915,0.00003351055,0.000009192859,0.0002400573,0.00001204202,6.000097e-7,0.0006471065,0.6501737,0.3462153,0.00002779596,7.235071e-7,0.002562577],"study_design_scores_gemma":[0.0001127112,0.0001040505,0.0000139878,0.0001442408,0.000006338136,0.00001923688,0.0002614047,0.8607227,0.1379774,0.0004764702,0.00002754421,0.0001338608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4719351,0.0007872793,0.526596,0.00001514965,0.00003147999,0.000228616,0.00001851329,0.000148887,0.0002389863],"genre_scores_gemma":[0.9973291,0.0002113092,0.00229188,0.000005670668,0.00001803946,0.00009197374,0.000006026761,0.00003293043,0.00001311756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.525394,"threshold_uncertainty_score":0.568669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02514893615508306,"score_gpt":0.240340116622571,"score_spread":0.215191180467488,"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."}}