{"id":"W4399755977","doi":"10.1007/s13202-024-01833-4","title":"Integrated wellbore-reservoir modeling based on 3D Navier–Stokes equations with a coupled CFD solver","year":2024,"lang":"en","type":"article","venue":"Journal of Petroleum Exploration and Production Technology","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computational fluid dynamics; Solver; Wellhead; Fluid dynamics; Pressure drop; Mechanics; Offshore geotechnical engineering; Reservoir simulation; Gambit; Geology; Flow (mathematics); Petroleum engineering; Geotechnical engineering; Mathematical optimization; Mathematics; Physics; Fluent","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003342903,0.0001724012,0.000218658,0.001112858,0.00007657101,0.00007732867,0.0001008576,0.0001555342,0.00002279434],"category_scores_gemma":[0.0001384374,0.0001367285,0.0000440105,0.0006493899,0.00005989517,0.0007184622,0.000008966061,0.0005966703,0.000007687179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001435752,"about_ca_system_score_gemma":0.00007918513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002351976,"about_ca_topic_score_gemma":0.0000200065,"domain_scores_codex":[0.9990167,0.00002795452,0.0003949089,0.0001904333,0.0002192324,0.0001507889],"domain_scores_gemma":[0.9993916,0.00003985436,0.00008950551,0.0001832321,0.0002535062,0.00004227058],"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":[0.00009569167,0.00003778205,0.00001483702,0.00008681443,0.00005260141,0.00001323731,0.0001270472,0.9503454,0.02156247,0.001014017,0.0005265208,0.0261236],"study_design_scores_gemma":[0.0002130619,0.0004746874,0.000001233705,0.0003430724,0.00003675596,0.00005122327,0.0002733486,0.9596429,0.03122332,0.003067218,0.004529086,0.0001440439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08212332,0.001267758,0.9088248,0.006031338,0.0006001404,0.000118384,0.000003281209,0.0008322751,0.0001987034],"genre_scores_gemma":[0.9842359,0.0009551069,0.01443345,0.0000296693,0.000149983,0.00004313335,0.000009043362,0.00003949687,0.0001042453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9021125,"threshold_uncertainty_score":0.5575626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549377103097316,"score_gpt":0.2359702526178818,"score_spread":0.2204764815869087,"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."}}