{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004023283,0.0003426495,0.0003833016,0.0005503655,0.0001930892,0.0003531022,0.0004730273,0.0004688618,0.0007793483],"category_scores_gemma":[0.0008115527,0.0001369496,0.0002638565,0.0003606466,0.0003529844,0.0003176284,0.0002692529,0.0002275787,0.0000959613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004038206,"about_ca_system_score_gemma":0.0003017137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003801069,"about_ca_topic_score_gemma":0.00367457,"domain_scores_codex":[0.9997507,0.00003642114,0.0000176479,0.00004627437,0.000119869,0.00002915136],"domain_scores_gemma":[0.9996007,0.0001552173,0.00005034823,0.0000434363,0.0001187153,0.00003152271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001486904,0.0009621724,0.0601192,0.0007696271,0.0000757621,0.0007436283,0.0003144561,0.3393487,0.4967109,0.0008319629,0.0004917859,0.09814497],"study_design_scores_gemma":[0.00007447684,0.001653152,0.02879341,0.00003104349,0.00004438508,0.00010747,0.0001931167,0.6884864,0.2789003,0.0001626566,0.001495047,0.00005856786],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922538,0.0001230553,0.006439855,0.00002322993,0.00001170588,0.00003667821,0.0002412894,0.000252,0.0006184092],"genre_scores_gemma":[0.9957836,0.000051051,0.003806591,0.000003573128,8.599724e-7,0.0000183159,0.00008408383,0.000008095672,0.0002438212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003801069,"threshold_uncertainty_score":0.007557929,"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."}}