{"id":"W2537756571","doi":"10.22360/springsim.2016.hpc.034","title":"Large-scale Reservoir Simulations on Distributed-memory Parallel Computers","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Scalability; Computer science; Distributed memory; Reservoir simulation; Parallel computing; Distributed computing; Computational science; Shared memory; Petroleum engineering; Operating system; Geology","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":[0.00008165195,0.0001298451,0.0001470808,0.0000476245,0.00005748249,0.0000115772,0.0001482092,0.00004738016,0.0001322749],"category_scores_gemma":[0.0001586598,0.00009012721,0.00004758395,0.0001559729,0.00003008999,0.0001002204,0.00004251973,0.00008087479,0.0001641131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008134662,"about_ca_system_score_gemma":0.00000500089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.788718e-7,"about_ca_topic_score_gemma":0.000001119176,"domain_scores_codex":[0.9992045,0.00002986385,0.0002163346,0.0001501306,0.0001749042,0.0002242547],"domain_scores_gemma":[0.9979552,0.00164422,0.00002434639,0.0002506387,0.00004048736,0.00008512539],"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":[0.000004453536,0.0000368103,0.00003966513,0.00001618011,0.00001409179,0.000001568686,0.00005045896,0.9854425,0.0002403893,0.007385785,0.002483174,0.004284921],"study_design_scores_gemma":[0.0004981403,0.0000360656,0.0005108799,0.00006308433,0.000005264211,0.000001643917,0.00003520041,0.8899769,0.0006924038,0.1008688,0.007080813,0.0002307832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01246149,0.00001126803,0.9835895,0.0004251598,0.0002658325,0.0001159607,0.00009339694,0.0005401937,0.002497167],"genre_scores_gemma":[0.4283335,0.00000419547,0.5712187,0.0001133239,0.0000754425,0.00000858401,0.00001156124,0.00002743049,0.0002073032],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.415872,"threshold_uncertainty_score":0.3675281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02587097332174786,"score_gpt":0.3033968940607429,"score_spread":0.2775259207389951,"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."}}