{"id":"W2032710248","doi":"10.2118/153997-ms","title":"Can Injection of Low Temperature Air-Solvent LTASI Be a Solution for Heavy Oil Recovery in Deep Naturally Fractured Reservoirs?","year":2012,"lang":"en","type":"article","venue":"SPE EOR Conference at Oil and Gas West Asia","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Secondary air injection; Solvent; Enhanced oil recovery; Petroleum engineering; Asphaltene; Diffusion; Chemistry; Viscosity; Steam injection; Matrix (chemical analysis); Dissolution; Hydrocarbon; Thermal diffusivity; Materials science; Chemical engineering; Thermodynamics; Composite material; Chromatography; Organic chemistry; Geology","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":[0.0003163488,0.0002693594,0.0002981003,0.0001807337,0.0001226172,0.0004841688,0.000303169,0.0004426423,0.0009789543],"category_scores_gemma":[0.0004384845,0.0001502807,0.0002934078,0.0001280872,0.0003782694,0.0008865724,0.0002267502,0.0005198274,0.0005515434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002094659,"about_ca_system_score_gemma":0.0002148748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004447966,"about_ca_topic_score_gemma":0.0008683061,"domain_scores_codex":[0.9998994,0.00001861738,0.000006781304,0.00002413068,0.00002510697,0.00002586061],"domain_scores_gemma":[0.9998319,0.00004018092,0.00006394933,0.00001686347,0.0000299826,0.00001697319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001665782,0.00004398386,0.0003477133,0.0001677394,0.000006929893,0.00004708773,0.00001447943,0.0003977036,0.987938,0.0002037737,0.00006078422,0.01060518],"study_design_scores_gemma":[0.0000118554,0.0004582853,0.0004711132,0.00002192674,0.00001389894,0.00005741775,0.00003539956,0.003169227,0.9934154,0.0001565357,0.002177611,0.0000113989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9352058,0.00630608,0.05411526,0.001152691,0.000207363,0.00009711996,0.0001404956,0.0006300883,0.002145118],"genre_scores_gemma":[0.9772575,0.001712113,0.01938879,0.0001631817,0.00003444862,0.00003030099,0.00006047443,0.00006127675,0.00129189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009789543,"threshold_uncertainty_score":0.003274918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009844968170046162,"score_gpt":0.230650172874216,"score_spread":0.2208052047041699,"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."}}