{"id":"W4220988285","doi":"10.2118/208879-ms","title":"Steam Additives to Reduce the Steam-Oil Ratio in SAGD: Experimental Analysis, Pilot Design, and Field Application","year":2022,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada); University of Calgary","funders":"","keywords":"Asphalt; Enhanced oil recovery; Environmental science; Petroleum engineering; Oil field; Steam injection; Emulsion; Viscosity; Process engineering; Waste management; Materials science; Chemical engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003754284,0.00009195925,0.0001203388,0.0001598573,0.0000857547,0.00002702697,0.0001212804,0.00001727397,0.0002243116],"category_scores_gemma":[0.00002608444,0.00007962592,0.00002590253,0.0005674818,0.00000661345,0.00006127584,0.00005153053,0.0001293858,0.000002711649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000686674,"about_ca_system_score_gemma":0.000007211213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005666981,"about_ca_topic_score_gemma":0.00001149318,"domain_scores_codex":[0.9993103,0.0001166565,0.000164032,0.0001525827,0.0001346879,0.0001217534],"domain_scores_gemma":[0.9994509,0.0002819141,0.00001246227,0.0002011015,0.000009203314,0.00004448536],"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":[0.00001793104,0.00001716151,0.00007989956,0.000003833301,0.00003650411,3.951808e-7,0.0004723748,0.9711482,0.02437485,0.0001402601,0.0005047331,0.003203874],"study_design_scores_gemma":[0.0002548769,0.0001100046,0.001115387,0.000002149032,0.00001622452,0.00000105219,0.001109249,0.9448094,0.04910273,0.00002033469,0.003319518,0.0001390522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4114969,0.0004506917,0.5862577,0.0001567678,0.00005882311,0.000194568,0.000004014466,0.0001167277,0.001263812],"genre_scores_gemma":[0.9890685,0.00001905057,0.009931221,0.00008408727,0.00002813081,0.000377999,0.00001089362,0.00001315959,0.0004669334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5775716,"threshold_uncertainty_score":0.3247051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02385756292271693,"score_gpt":0.2950805429118303,"score_spread":0.2712229799891134,"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."}}