{"id":"W2586738966","doi":"10.2118/182635-ms","title":"Flow Diagnostics on Fully Unstructured Grids","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Petrobras","keywords":"Computer science; Solver; Reservoir simulation; Discretization; Unstructured grid; Grid; Finite volume method; Polygon mesh; Flow (mathematics); Computational science; Mathematical optimization; Control volume; Triangulated irregular network; Computation; Algorithm; Applied mathematics; Mathematics; Geometry; Mechanics; Engineering; Geology; Mathematical analysis","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":[0.0001233112,0.0001923662,0.0002180303,0.00006086499,0.0002385428,0.0001657575,0.0004588926,0.0000963912,0.0001456156],"category_scores_gemma":[0.002721803,0.000185816,0.00004924974,0.00007223257,0.00008753625,0.0002276703,0.00007926133,0.0002331709,0.0001020356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006490764,"about_ca_system_score_gemma":0.00002621088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001612048,"about_ca_topic_score_gemma":0.000002928303,"domain_scores_codex":[0.9989374,0.00003729265,0.0002695104,0.0002088538,0.0003284897,0.0002184242],"domain_scores_gemma":[0.9976425,0.001272714,0.0001092061,0.0006833372,0.0001918776,0.0001003625],"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":[0.00001005184,0.000009852943,0.0001550409,0.00004477352,0.00001261713,0.000004438261,0.0000529483,0.9424597,0.00003661578,0.007334306,0.00008625622,0.0497934],"study_design_scores_gemma":[0.0002074783,0.00003322301,0.002958056,0.00006939793,0.000006583041,8.698167e-7,0.000006940768,0.8494678,0.000450758,0.1446172,0.001999479,0.0001821848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02487719,0.0000396797,0.963865,0.0002486274,0.0007894195,0.0002082463,0.00002624967,0.0002613023,0.009684315],"genre_scores_gemma":[0.7791885,0.00005587825,0.2204167,0.00003003411,0.0001870976,0.000008861385,0.000009204653,0.00002958761,0.00007414328],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7543113,"threshold_uncertainty_score":0.7577357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07557220230762945,"score_gpt":0.3631806823875003,"score_spread":0.2876084800798708,"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."}}