{"id":"W2321056751","doi":"10.2118/179585-ms","title":"Evaluation of Gas Assisted Gravity Drainage GAGD in Naturally Fractured Reservoirs NFR","year":2016,"lang":"en","type":"article","venue":"SPE Improved Oil Recovery Conference","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Petroleum engineering; Geology; Drilling; Drill; Fracture (geology); Drilling fluid; Matrix (chemical analysis); Oil field; Flow (mathematics); Submarine pipeline; Fluid dynamics; Geotechnical engineering; Completion (oil and gas wells); Engineering; Mechanics; Mechanical engineering; Materials science","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":[0.001625358,0.0002999768,0.0005547731,0.0002962685,0.00004333232,0.00005210084,0.0003991078,0.0002626147,0.0005547163],"category_scores_gemma":[0.001096936,0.0002063884,0.0002603547,0.0003807202,0.00008354873,0.0003774959,0.00006430468,0.0003458483,0.00002382374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003211513,"about_ca_system_score_gemma":0.000221617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000734832,"about_ca_topic_score_gemma":0.002903046,"domain_scores_codex":[0.9976231,0.0002735278,0.0005473618,0.0003922687,0.0007361755,0.0004275918],"domain_scores_gemma":[0.9983311,0.0002632555,0.0001599398,0.0006367442,0.0004938061,0.0001152015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001333523,0.0001179118,0.0002802947,0.0002746244,0.001243075,0.00001634299,0.0003569151,0.04614384,0.2416727,0.00004321506,0.0003230977,0.7093946],"study_design_scores_gemma":[0.008807962,0.0005227783,0.09997021,0.00153847,0.00374191,0.00001938854,0.0002921559,0.5862386,0.2528079,0.03791891,0.005389329,0.002752457],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702612,0.001100406,0.003633083,0.0009647437,0.0005360618,0.0002266289,0.00006424684,0.0001912749,0.02302233],"genre_scores_gemma":[0.9981216,0.000384505,0.0004213831,0.00002447022,0.00005702546,0.00004938234,0.00001809903,0.0000332416,0.0008903149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7066422,"threshold_uncertainty_score":0.8416275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013896209530968,"score_gpt":0.252611405720878,"score_spread":0.2324724436255683,"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."}}