{"id":"W2265142983","doi":"10.2118/174491-pa","title":"Successful Application of Hot-Water Circulation in the Pelican Lake Field: Results and Analyses of the E29 Hot-Water-Injection Pilot","year":2015,"lang":"en","type":"article","venue":"Journal of Canadian Petroleum Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cenovus Energy (Canada)","funders":"Canadian Natural Resources Limited; Cenovus Energy; University of Calgary","keywords":"Injector; Water injection (oil production); Petroleum engineering; Oil field; Environmental science; Viscosity; Injection well; Flooding (psychology); Oil in place; Flood myth; Hydrology (agriculture); Geology; Petroleum; Geotechnical engineering; Materials science; Engineering; Geography; Archaeology; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007426516,0.00008600908,0.0002072575,0.001209182,0.00002663197,0.00001238009,0.0002509695,0.0001224506,0.000002810979],"category_scores_gemma":[0.0001451771,0.00004954138,0.0000421746,0.000521423,0.00004535978,0.00008381718,0.00001284147,0.0002820384,3.957893e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006940709,"about_ca_system_score_gemma":0.00004339045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004836963,"about_ca_topic_score_gemma":0.03764052,"domain_scores_codex":[0.999065,0.0000694199,0.0004631964,0.00007410699,0.0001680906,0.00016022],"domain_scores_gemma":[0.9993914,0.00005646057,0.0001135354,0.0002491735,0.0001300514,0.0000593705],"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":[0.00004895616,0.00001008677,0.01366877,0.00002812423,0.00003474104,0.000003186403,0.0003544239,0.9558766,0.02811997,0.0001135322,0.00009727525,0.001644324],"study_design_scores_gemma":[0.005279213,0.001511812,0.1681674,0.0002016162,0.0002234761,0.0005575223,0.001995381,0.5053856,0.2808513,0.005019476,0.03022984,0.0005774433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915872,0.0001239527,0.005942008,0.001813159,0.0001143351,0.00006918475,0.000006173581,0.00001419808,0.0003298215],"genre_scores_gemma":[0.9994459,0.00002028609,0.0004510579,0.00001813482,0.00003966307,0.000003799104,0.000002669338,0.000009374506,0.000009083315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.450491,"threshold_uncertainty_score":0.97992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0270193593633616,"score_gpt":0.2746041964176529,"score_spread":0.2475848370542913,"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."}}