{"id":"W2062865089","doi":"10.2118/120642-ms","title":"Production Optimization and Uncertainty Assessment in a CO2 Flooding Reservoir","year":2009,"lang":"en","type":"article","venue":"SPE Production and Operations Symposium","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petroleum Technology Research Centre; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Petroleum Technology Research Centre","keywords":"Injector; Petroleum engineering; Enhanced oil recovery; Injection well; Water injection (oil production); Inflow; Residual oil; Production (economics); Range (aeronautics); Oil field; Net present value; Reservoir simulation; Environmental science; Computer science; Engineering; Geology; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007253368,0.0005829392,0.0005343304,0.0007120422,0.0004167648,0.000720044,0.0004198154,0.0008402414,0.0004998663],"category_scores_gemma":[0.001235754,0.0002788584,0.0004402144,0.0004577883,0.0005638774,0.0004371741,0.0005331861,0.0004195379,0.00003276614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009952859,"about_ca_system_score_gemma":0.0007176617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01083051,"about_ca_topic_score_gemma":0.004369869,"domain_scores_codex":[0.9997839,0.0000771894,0.000009451946,0.00003415776,0.00005500948,0.00004019915],"domain_scores_gemma":[0.9993113,0.0004809689,0.00007029074,0.00002328709,0.00008991926,0.00002417009],"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":[0.00002232787,0.00001463002,0.0007864244,0.000008927695,0.000005291594,0.00005919044,0.000006590031,0.9966356,0.001005937,0.0002461843,0.00001623844,0.001192664],"study_design_scores_gemma":[0.000002329713,0.00002394998,0.0002849937,9.567181e-7,0.00000270498,0.000004593005,0.000007330507,0.9987395,0.0008056532,0.00009976903,0.00002551473,0.000002626862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9280113,0.0001534837,0.06765635,0.0001557268,0.000008089067,0.00006508361,0.00009801284,0.00008722697,0.003764675],"genre_scores_gemma":[0.9965821,0.00002345168,0.003096006,0.000003443735,0.00000106917,0.00001309999,0.00001646932,0.000003323996,0.000261054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01083051,"threshold_uncertainty_score":0.02153498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451880459909635,"score_gpt":0.2803877115027969,"score_spread":0.2658689069037006,"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."}}