{"id":"W1986427087","doi":"10.2118/131019-pa","title":"Development of an Algorithm of Dynamic Gridding for Multiphase Flow Calculation in Wells","year":2011,"lang":"en","type":"article","venue":"Journal of Canadian Petroleum Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Multiphase flow; Flow (mathematics); Mechanics; Wellbore; Polygon mesh; Pressure drop; Fluid dynamics; Two-phase flow; Flow velocity; Mass flux; Geology; Tracing; Computer science; Algorithm; Simulation; Petroleum engineering; Physics","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":[0.0004176823,0.00009048486,0.0002781124,0.002900879,0.00001545238,0.00000256037,0.0001712455,0.0001629949,0.0000094912],"category_scores_gemma":[0.00007268534,0.00009558961,0.00004857403,0.0004153646,0.00002134116,0.00009572857,0.000005420218,0.0001679766,2.812122e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001962276,"about_ca_system_score_gemma":0.0001356629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004505619,"about_ca_topic_score_gemma":0.007254867,"domain_scores_codex":[0.9990425,0.00001281787,0.0005981129,0.00006406601,0.00008867894,0.0001938038],"domain_scores_gemma":[0.9995094,0.00002790214,0.000130373,0.000120767,0.0001066241,0.0001049487],"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":[0.00001499863,0.00002136708,0.0004283557,0.00006052498,0.0000463647,0.00001526167,0.0004118683,0.8671322,0.009528168,0.00008160737,0.000009269767,0.12225],"study_design_scores_gemma":[0.0008174542,0.00008427423,0.002118166,0.00005770561,0.00000905632,0.00001988458,0.0001161069,0.9770471,0.01758613,0.0001650678,0.001888303,0.00009079082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6370812,0.0001108703,0.3625014,0.0000178753,0.0001494791,0.00004933943,0.000009912942,0.00001636444,0.00006348368],"genre_scores_gemma":[0.5018618,0.000007790426,0.4981017,0.000001116512,0.000007571403,0.000002170244,0.000001854426,0.00001114123,0.00000495329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1356002,"threshold_uncertainty_score":0.4048386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181585828676435,"score_gpt":0.2535497550846061,"score_spread":0.2353911722169627,"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."}}