{"id":"W4407679270","doi":"10.5419/bjpg2024-0017","title":"WELL REPRESENTATION IN RESERVOIR SIMULATION MODELS CONSIDERING THE IMPACT OF DISCRETE FRACTURE NETWORK UPSCALING","year":2025,"lang":"en","type":"article","venue":"Brazilian Journal of Petroleum and Gas","topic":"Advanced Mathematical Modeling in Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Estadual de Campinas; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Energi Simulation","keywords":"Reservoir simulation; Fracture (geology); Petroleum engineering; Representation (politics); Computer science; Simulation modeling; Geology; Geotechnical engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004732999,0.00009143698,0.0002174767,0.0001166992,0.00004978598,0.00005084212,0.0002539273,0.00004032116,0.000001664757],"category_scores_gemma":[0.0001666565,0.00006033837,0.00008938951,0.0002209881,0.00003069087,0.0005160058,0.00007585239,0.0002349631,1.478544e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003634825,"about_ca_system_score_gemma":0.00003948648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000923343,"about_ca_topic_score_gemma":0.000002900328,"domain_scores_codex":[0.9990777,0.00005513839,0.0004478781,0.0001103976,0.0001563047,0.0001525725],"domain_scores_gemma":[0.9989506,0.0005080139,0.0002104988,0.000210717,0.00007682924,0.00004336996],"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":[0.00002083413,0.000008099776,0.001014773,0.00001916497,0.00001771234,0.000004770165,0.0002593604,0.9963393,0.0000911489,0.001501917,0.00003659487,0.0006863061],"study_design_scores_gemma":[0.0002557026,0.00003353515,0.001762336,0.0002491835,0.000006370857,0.000009765037,0.0000388865,0.8591989,0.0000896029,0.1382982,0.00001405843,0.00004336042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1588946,0.0004261069,0.839712,0.0006619904,0.00006735477,0.00004189045,2.251839e-7,0.000007752068,0.0001880969],"genre_scores_gemma":[0.9691049,0.00004225952,0.03074864,0.00003273962,0.00004779383,7.460798e-7,1.513245e-7,0.000004907032,0.00001779869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8102103,"threshold_uncertainty_score":0.2460527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667651671326269,"score_gpt":0.3072953714429412,"score_spread":0.2906188547296785,"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."}}