{"id":"W4407679365","doi":"10.5419/bjpg2024-0016","title":"INVESTIGATING WELL MANAGEMENT CONSIDERING INTEGRATION OF RESERVOIR AND PRODUCTION SYSTEM IN LIFE CYCLE RESERVOIR PERFORMANCE, ENERGY DEMAND, AND CARBON EMISSION","year":2025,"lang":"en","type":"article","venue":"Brazilian Journal of Petroleum and Gas","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Estadual de Campinas; Petrobras; Energi Simulation; U.S. Department of Energy","keywords":"Production (economics); Environmental science; Energy demand; Petroleum engineering; Energy (signal processing); Life-cycle assessment; Natural resource economics; Engineering; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007759579,0.0007531676,0.0006657496,0.0003571167,0.0002989333,0.001333565,0.0005584485,0.0008933703,0.001215366],"category_scores_gemma":[0.001349421,0.000358607,0.0007489249,0.0003740446,0.0004226049,0.001387543,0.0005620953,0.0006219127,0.00009398533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009014408,"about_ca_system_score_gemma":0.001017138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009854806,"about_ca_topic_score_gemma":0.007888494,"domain_scores_codex":[0.9996608,0.0001020711,0.00001442542,0.00006935193,0.00007474884,0.00007864128],"domain_scores_gemma":[0.9992919,0.0003791158,0.00009823844,0.00005129128,0.0001312266,0.00004811409],"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":[0.00006577614,0.00006674408,0.003377262,0.0000443326,0.00004867284,0.00007148463,0.00001459674,0.9887439,0.00343672,0.0003771933,0.00005797201,0.003695391],"study_design_scores_gemma":[0.00001331985,0.0001913853,0.003602184,0.000008985677,0.00005456426,0.00001613632,0.00006327573,0.9912978,0.004009578,0.0003844511,0.0003441175,0.00001415816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627604,0.0002587637,0.03259973,0.000134111,0.00002579109,0.00006404045,0.0002548489,0.0001035127,0.00379862],"genre_scores_gemma":[0.9965357,0.00006513511,0.002931498,0.00001009396,0.000002157399,0.00001736015,0.00008936754,0.00001338552,0.0003353623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009854806,"threshold_uncertainty_score":0.01959485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00929578259142275,"score_gpt":0.234288496661382,"score_spread":0.2249927140699592,"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."}}