{"id":"W2240628657","doi":"10.2118/174478-ms","title":"Improvement of the Recovery Factor Using Nano-Metal Particles at the Late Stages of Cyclic Steam Stimulation","year":2015,"lang":"en","type":"article","venue":"SPE Canada Heavy Oil Technical Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Steam injection; Petroleum engineering; Materials science; Process engineering; Oil production; Enhanced oil recovery; Nano-; Process (computing); Environmental science; Waste management; Computer science; Engineering; Composite material","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":[0.0001789177,0.0001957118,0.0002320532,0.0001553451,0.0001219009,0.0001927936,0.0001975426,0.0002065761,0.001057299],"category_scores_gemma":[0.0003488556,0.0001170919,0.0001941217,0.0001360051,0.0002449132,0.000253481,0.0001771285,0.0002974459,0.0001996037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002091083,"about_ca_system_score_gemma":0.0001406317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009316666,"about_ca_topic_score_gemma":0.001616912,"domain_scores_codex":[0.9998897,0.00001017071,0.000007816026,0.00002117124,0.0000442054,0.00002688501],"domain_scores_gemma":[0.9998074,0.00006399547,0.00003703085,0.00002218151,0.00005412228,0.00001522826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000803879,0.00001186997,0.0001990369,0.000033851,0.000002259588,0.00001682727,0.00002135471,0.0002060719,0.9976398,0.00003169079,0.00001920877,0.001737599],"study_design_scores_gemma":[0.000002406373,0.0001237778,0.0006100953,0.000001362366,0.000002632685,0.00000784248,0.00001323181,0.0008157732,0.9981757,0.000006031468,0.0002391493,0.000002064691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964901,0.0001738053,0.002542271,0.00002252674,0.000009597742,0.00001490374,0.0000436529,0.00006367143,0.0006394002],"genre_scores_gemma":[0.997804,0.000065792,0.001459845,0.000007164249,0.000001639576,0.000006867049,0.00002773508,0.00001190444,0.000615066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001057299,"threshold_uncertainty_score":0.003536999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03340650994891283,"score_gpt":0.250257836117616,"score_spread":0.2168513261687031,"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."}}