{"id":"W2044066655","doi":"10.2118/149230-pa","title":"SAGD-Pair Performance Optimization: A Field Case Study of Recovery Enhancement","year":2013,"lang":"en","type":"article","venue":"Journal of Canadian Petroleum Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Husky Energy (Canada); Ivanhoe Energy (Canada)","funders":"","keywords":"Petroleum engineering; Steam-assisted gravity drainage; Injector; Completion (oil and gas wells); Productivity; Engineering; Steam injection; Oil field; Work (physics); Directional drilling; Downtime; Drilling; Geology; Mechanical engineering; Oil sands; Materials science","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":[0.001196783,0.0009093769,0.0007091566,0.0008714807,0.0007608058,0.0008656778,0.001246628,0.001336351,0.002272719],"category_scores_gemma":[0.001423655,0.0003270629,0.0006477389,0.0007385109,0.0006497515,0.0008850119,0.0008225957,0.000746751,0.0003453024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001319787,"about_ca_system_score_gemma":0.0007015999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006867179,"about_ca_topic_score_gemma":0.007535831,"domain_scores_codex":[0.9993883,0.0001859639,0.00002264538,0.00008944269,0.0001554735,0.0001580793],"domain_scores_gemma":[0.9987485,0.0005664698,0.000122414,0.0001170016,0.0002947772,0.0001507664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002080863,0.00492217,0.01584563,0.0005074352,0.0001203659,0.004582717,0.0004225505,0.8708314,0.02961929,0.002602601,0.00276412,0.06570089],"study_design_scores_gemma":[0.0006005527,0.009574969,0.01444642,0.00004135858,0.0001241976,0.0005491176,0.00167987,0.9209485,0.04483227,0.001779072,0.005333488,0.00009011688],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885195,0.00008564293,0.007045333,0.0001303134,0.000009694731,0.0001667825,0.0001680133,0.0001357358,0.003739001],"genre_scores_gemma":[0.9925243,0.00005508709,0.00568659,0.00001702565,0.00000291758,0.00004774251,0.0001119679,0.00001670812,0.001537618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006867179,"threshold_uncertainty_score":0.01365441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008845223223217003,"score_gpt":0.2191067746067553,"score_spread":0.2102615513835382,"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."}}