{"id":"W2003988272","doi":"10.2118/137579-ms","title":"Numerical Simulation and Optimization of the SAGD Process in Surmont Oil Sands Lease","year":2010,"lang":"en","type":"article","venue":"Abu Dhabi International Petroleum Exhibition and Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Steam-assisted gravity drainage; Petroleum engineering; Oil sands; Geology; Steam injection; Computer simulation; Reservoir simulation; Fossil fuel; Asphalt; Environmental science; Engineering; Waste management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003559106,0.0003964542,0.0004668639,0.0004461267,0.0006384611,0.0008137713,0.0005483532,0.00113571,0.001673669],"category_scores_gemma":[0.0008381655,0.00027142,0.0004647016,0.0003456929,0.0008131678,0.000205846,0.0005025084,0.0004683104,0.00008760795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001992049,"about_ca_system_score_gemma":0.002028719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1621005,"about_ca_topic_score_gemma":0.1112765,"domain_scores_codex":[0.9998907,0.00002288773,0.000005007416,0.00001623737,0.00002473449,0.00004033174],"domain_scores_gemma":[0.9994635,0.0003076932,0.00005908204,0.00002049306,0.000089496,0.00005972822],"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":[0.00003500569,0.00003573866,0.002066422,0.000007499093,0.000004919282,0.00005668627,0.00001318069,0.9964239,0.0005526067,0.000163046,0.00004737142,0.0005935056],"study_design_scores_gemma":[0.000009281458,0.0000270382,0.0007476562,0.000001484607,0.000002211474,0.000003242154,0.00003236379,0.9987821,0.0002723219,0.00004196205,0.00007743763,0.000002864194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904297,0.00004318349,0.00518007,0.0001291145,0.00001160321,0.0000446505,0.0001789622,0.00006851299,0.003914192],"genre_scores_gemma":[0.9955309,0.00002234349,0.003006902,0.00001591618,0.000001322664,0.00002570876,0.0001199652,0.000005452018,0.001271453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1621005,"threshold_uncertainty_score":0.3223139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116712541485158,"score_gpt":0.2637293837815554,"score_spread":0.2520581296330396,"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."}}