{"id":"W1978672902","doi":"10.1016/j.jngse.2013.05.005","title":"A new method for production data analysis of tight and shale gas reservoirs during transient linear flow period","year":2013,"lang":"en","type":"article","venue":"Journal of Natural Gas Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Mechanics; Thermal diffusivity; Tight gas; Permeability (electromagnetism); Darcy's law; Porous medium; Petroleum engineering; Geotechnical engineering; Thermodynamics; Chemistry; Porosity; Hydraulic fracturing; Geology; Physics","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":[0.0003757438,0.0006144538,0.0005288737,0.001693249,0.0004388449,0.0006212211,0.0007213304,0.0004828684,0.001771717],"category_scores_gemma":[0.000802766,0.0003785832,0.0003926565,0.00106081,0.0002244461,0.0008847513,0.0004433883,0.0005021517,0.000411584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003040919,"about_ca_system_score_gemma":0.0005772377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002817265,"about_ca_topic_score_gemma":0.00325908,"domain_scores_codex":[0.9996221,0.00004151558,0.00002264306,0.0001112599,0.0001721023,0.00003043016],"domain_scores_gemma":[0.9994399,0.0001543674,0.00005384872,0.00005826379,0.0002662099,0.00002749078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004794706,0.000201112,0.01439613,0.0003278115,0.0001427178,0.0003324031,0.0003481571,0.03849097,0.2432187,0.003633705,0.003884752,0.6945443],"study_design_scores_gemma":[0.00003278915,0.00009771442,0.006540278,0.00001277804,0.00005454792,0.0003005705,0.00009161754,0.9369687,0.04972053,0.001166959,0.004963435,0.00004996913],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04126769,0.0002214279,0.9551386,0.000048192,0.00007057097,0.00007140039,0.0003673511,0.001554455,0.001260376],"genre_scores_gemma":[0.4513136,0.0002547239,0.5428722,0.00003942979,0.00007481197,0.0002413135,0.00079689,0.0001882528,0.00421873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002817265,"threshold_uncertainty_score":0.005926967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011780604608044,"score_gpt":0.2569312479487403,"score_spread":0.2451506433406963,"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."}}