{"id":"W4200413235","doi":"10.2118/207295-ms","title":"Field Realization of Adaptive Reservoir Simulation for Steam Injection Forecasting","year":2021,"lang":"en","type":"article","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Steam injection; Petroleum engineering; Injection well; Oil field; Geology; Carbonate; Reservoir engineering; Displacement (psychology); Oil production; Enhanced oil recovery; Oil well; Petroleum reservoir; Environmental science; Petroleum; 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":[0.0003377129,0.000468975,0.0005172581,0.0003565819,0.0004501637,0.0005820678,0.0006608139,0.0007489698,0.0024926],"category_scores_gemma":[0.0005971537,0.0002348723,0.0004409511,0.0002872553,0.0004159624,0.0003410495,0.0004708886,0.0005788565,0.00021899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005613589,"about_ca_system_score_gemma":0.0007355714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01916483,"about_ca_topic_score_gemma":0.007524207,"domain_scores_codex":[0.999873,0.00003648686,0.000008775773,0.00002486698,0.00002946497,0.00002737335],"domain_scores_gemma":[0.9996682,0.0001408435,0.0000263138,0.00003755153,0.00009089936,0.00003615782],"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":[0.00008465962,0.0000548486,0.002033098,0.00002421051,0.00001250187,0.00009746382,0.00003472403,0.9883528,0.002842753,0.0006347892,0.0001718285,0.005656411],"study_design_scores_gemma":[0.000006547747,0.00001312368,0.0001120572,6.52208e-7,0.000001166534,0.000001130241,0.000004525788,0.9993523,0.0003990841,0.00005394371,0.00005394227,0.000001612584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8635029,0.00006196582,0.1234096,0.0001903385,0.00006193309,0.0001280176,0.0003891381,0.001685289,0.01057063],"genre_scores_gemma":[0.9918826,0.00001071123,0.007456986,0.000006427327,0.000001899126,0.00003842655,0.00008479651,0.000009098696,0.0005090841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01916483,"threshold_uncertainty_score":0.03810656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06523286321359927,"score_gpt":0.30989696319873,"score_spread":0.2446640999851307,"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."}}