{"id":"W2085809781","doi":"10.2118/144149-ms","title":"Fast-SAGD vs. SAGD: A Comparative Numerical Simulation in Three Major Formations of Alberta’s Oil Sands","year":2012,"lang":"en","type":"article","venue":"SPE Heavy Oil Conference Canada","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Sejong University","keywords":"Oil sands; Petroleum engineering; Asphalt; Steam injection; Steam-assisted gravity drainage; Oil shale; Offset (computer science); Computer simulation; Geology; Reservoir simulation; Engineering; Computer science; Materials science; Simulation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000940887,0.0002045438,0.0003626206,0.0001112749,0.0000395232,0.00001873218,0.0001636654,0.00009396,0.0002206944],"category_scores_gemma":[0.00005537488,0.0002175695,0.00003979493,0.0002783432,0.00003870447,0.0004178594,0.00002705144,0.0002322454,0.00001098877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004209618,"about_ca_system_score_gemma":0.0003848278,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2935606,"about_ca_topic_score_gemma":0.8906845,"domain_scores_codex":[0.9987443,0.00003117365,0.0004185974,0.000132321,0.0002630969,0.0004104897],"domain_scores_gemma":[0.9992158,0.0002285446,0.00007808936,0.0002326521,0.000100497,0.0001443479],"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":[0.0004961999,0.0004690775,0.06680464,0.00224514,0.0004195033,0.0000199539,0.01856914,0.5403348,0.007843794,0.02473708,0.01291453,0.3251462],"study_design_scores_gemma":[0.001697058,0.0001971959,0.05216012,0.0007794825,0.00006920062,0.00001254251,0.001098293,0.8399532,0.07494198,0.001522483,0.02592833,0.001640065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8487744,0.0002794989,0.03233787,0.0003088663,0.0004708096,0.0001508509,0.00009953346,0.0001853046,0.1173928],"genre_scores_gemma":[0.9976213,0.00003522715,0.001884837,0.00006952247,0.0000332412,0.00004544776,0.00003737721,0.0000202435,0.0002528072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5971239,"threshold_uncertainty_score":0.8872227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02292650207845648,"score_gpt":0.2574191854458093,"score_spread":0.2344926833673528,"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."}}