{"id":"W2944989642","doi":"10.2118/195675-pa","title":"An Empirical Oil, Steam, and Produced-Water Forecasting Model for Steam-Assisted Gravity Drainage With Linear Steam-Chamber Geometry","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Evaluation & Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Devon Energy (Canada)","funders":"","keywords":"Steam-assisted gravity drainage; Petroleum engineering; Steam injection; Oil sands; Boiler (water heating); Permeability (electromagnetism); Steam drum; Engineering; Environmental science; Waste management; Superheated steam; Materials science; Chemistry; Asphalt","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":[0.0002865928,0.0003645296,0.000507578,0.0002734658,0.0002871069,0.0005620635,0.0009819438,0.0007811975,0.002238298],"category_scores_gemma":[0.0007344868,0.0003246753,0.0004794654,0.0002481089,0.0005259908,0.0004681183,0.0003412451,0.0005616085,0.0002734924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001153594,"about_ca_system_score_gemma":0.001378698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03587091,"about_ca_topic_score_gemma":0.01584476,"domain_scores_codex":[0.9998851,0.00002172618,0.000006239443,0.00003631912,0.0000269897,0.00002366881],"domain_scores_gemma":[0.9997525,0.0001054788,0.0000412641,0.00001345839,0.00007134163,0.00001601434],"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":[0.000007983186,0.000005014288,0.0003458769,0.000004374399,0.000002098264,0.00001348771,0.000008284867,0.9973519,0.0004713203,0.000689102,0.00006374875,0.00103677],"study_design_scores_gemma":[0.000001445841,0.000002386578,0.00005961225,4.300155e-7,7.285278e-7,0.000001654134,0.000001287971,0.9997029,0.00008862959,0.0000742651,0.00006538957,0.000001275829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4962397,0.0001938069,0.4814367,0.0004604755,0.00005754317,0.0001432384,0.0007843052,0.000734732,0.01994947],"genre_scores_gemma":[0.9827604,0.0000721887,0.01088993,0.00002600184,0.00001152349,0.00008309836,0.0001954131,0.00003776854,0.005923675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03587091,"threshold_uncertainty_score":0.07132423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06860596292657893,"score_gpt":0.3330547368940953,"score_spread":0.2644487739675163,"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."}}