{"id":"W2333016813","doi":"10.2118/170052-ms","title":"Solvent-Assisted Start-up of SAGD Wells in Long Lake Project","year":2014,"lang":"en","type":"article","venue":"SPE Heavy Oil Conference-Canada","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Injector; Asphalt; Petroleum engineering; Solvent; Oil sands; Steam injection; Saturation (graph theory); Water injection (oil production); Environmental science; Thermal conduction; Geology; Materials science; Chemistry; Engineering; Mechanical engineering; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002889007,0.000206401,0.0003679989,0.0001138882,0.00002730646,0.00002727906,0.0002067985,0.00008310834,0.0002162208],"category_scores_gemma":[0.0001115696,0.0002129252,0.00004014508,0.0002938834,0.00002180336,0.00006974717,0.00002394887,0.0002447891,0.000003038996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001569774,"about_ca_system_score_gemma":0.0008856041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7223477,"about_ca_topic_score_gemma":0.9918479,"domain_scores_codex":[0.9985561,0.00009219599,0.000434163,0.0001951701,0.0003604889,0.0003619142],"domain_scores_gemma":[0.999256,0.0001740576,0.0000484542,0.0003278358,0.00009047932,0.0001031311],"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":[0.00005700611,0.00003326574,0.0115849,0.001105451,0.00008271329,0.00002922038,0.0003182009,0.9239047,0.0008890528,0.000672207,0.01171556,0.04960776],"study_design_scores_gemma":[0.001940895,0.00006222482,0.05456142,0.0003852526,0.00001954386,0.000005042495,0.0001828648,0.7757884,0.00576015,0.0001173217,0.1604772,0.0006996884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478789,0.0001931786,0.01939192,0.0003263605,0.001703751,0.0001935612,0.00007566817,0.0001606206,0.03007602],"genre_scores_gemma":[0.9960424,0.00004965426,0.002368932,0.00004255413,0.00005813783,0.00001147428,0.00003265816,0.00003126174,0.001362963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2695003,"threshold_uncertainty_score":0.8682837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02868733795661004,"score_gpt":0.2521539330621245,"score_spread":0.2234665951055144,"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."}}