{"id":"W2463025734","doi":"10.1109/bigdatasecurity-hpsc-ids.2016.45","title":"Coupled Geomechanics and Reservoir Flow Modeling on Distributed Memory Parallel Computers","year":2016,"lang":"en","type":"article","venue":"","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; CMG Reservoir Simulation Foundation","keywords":"Geomechanics; Computer science; Reservoir simulation; Scalability; Discretization; Coupling (piping); Multiphase flow; Flow (mathematics); Computational science; Finite element method; Petroleum engineering; Geology; Geotechnical engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003201499,0.0007082583,0.0008081305,0.0005319057,0.0005721743,0.0008754935,0.001217104,0.001256604,0.001443947],"category_scores_gemma":[0.0008619903,0.0005581937,0.0007349626,0.0007297887,0.001033911,0.001027725,0.001339828,0.000738564,0.0002500937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006900487,"about_ca_system_score_gemma":0.001262087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008838015,"about_ca_topic_score_gemma":0.005449419,"domain_scores_codex":[0.999744,0.00007686648,0.00001097072,0.00004451483,0.00009027652,0.00003339983],"domain_scores_gemma":[0.999743,0.000118664,0.00003816713,0.00003310495,0.00004660916,0.00002039256],"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":[0.00001513363,0.00001525454,0.0002247983,0.00001090211,0.00000766574,0.00004081042,0.00001835264,0.9927158,0.00131575,0.003544579,0.00006836961,0.002022719],"study_design_scores_gemma":[0.000003718792,0.000004414002,0.00003779176,6.389848e-7,0.000001217136,0.000004468427,0.000002732495,0.998716,0.0002288699,0.0008573192,0.0001415603,0.000001316324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07973778,0.0002054039,0.9129245,0.0002099316,0.00004245873,0.00008547707,0.0001434218,0.0004419325,0.006208966],"genre_scores_gemma":[0.8545445,0.0003899356,0.1351849,0.00008673726,0.00003954825,0.0004269152,0.0002072638,0.0001443139,0.008975812],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008838015,"threshold_uncertainty_score":0.01757318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285884281107522,"score_gpt":0.2134439227096317,"score_spread":0.2005850798985565,"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."}}