{"id":"W2038763157","doi":"10.1016/j.petrol.2012.03.001","title":"Transient flow modeling of advanced wells","year":2012,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Transient (computer programming); Flow (mathematics); Mechanics; Annulus (botany); Transient flow; Slug flow; Discretization; Petroleum engineering; Geology; Two-phase flow; Materials science; Computer science; Physics; Mathematics; Surge","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002474652,0.0003454489,0.0005814994,0.0004136401,0.000387979,0.0007730467,0.000764272,0.00109838,0.002234831],"category_scores_gemma":[0.0009588128,0.0002876422,0.0004995731,0.0004462817,0.0005605139,0.0008132685,0.0004236163,0.0004857602,0.0002081993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007575824,"about_ca_system_score_gemma":0.0008316851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01197589,"about_ca_topic_score_gemma":0.00403728,"domain_scores_codex":[0.9999001,0.00003012856,0.000005985694,0.00001839339,0.00002011517,0.00002522161],"domain_scores_gemma":[0.9997159,0.0001393553,0.00003276368,0.00002299335,0.00006249775,0.00002655542],"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":[0.00003414879,0.00002224755,0.0004855576,0.00000762371,0.000004480816,0.00003886333,0.00001643949,0.9935314,0.001242963,0.002765104,0.0001198699,0.001731368],"study_design_scores_gemma":[0.000002559049,0.000005886415,0.00007808589,8.871627e-7,0.000001147277,0.0000030052,0.000003919366,0.9992951,0.0002263618,0.0003141854,0.00006717738,0.000001653715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6272302,0.0003709003,0.3492364,0.0004582672,0.000111309,0.00006937899,0.0003917976,0.0007232822,0.0214085],"genre_scores_gemma":[0.9944919,0.00007913625,0.003235875,0.00001010042,0.000009005101,0.0000150402,0.00005950082,0.00002264983,0.002076737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01197589,"threshold_uncertainty_score":0.02381235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281231475083699,"score_gpt":0.2447821062865989,"score_spread":0.2319697915357619,"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."}}