{"id":"W2075403811","doi":"10.2118/100540-ms","title":"Semianalytical Model for Reservoirs With Forchheimer's Non-Darcy Flow","year":2006,"lang":"en","type":"article","venue":"SPE Gas Technology Symposium","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Darcy's law; Drawdown (hydrology); Dimensionless quantity; Mechanics; Flow (mathematics); Geology; Darcy–Weisbach equation; Geotechnical engineering; Porous medium; Porosity; Aquifer; Physics; Groundwater","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001325949,0.0003081402,0.0004121487,0.0005110899,0.0001419876,0.00004852394,0.0004494127,0.0004534227,0.00001432852],"category_scores_gemma":[0.0000114134,0.000254555,0.0001607931,0.0005881877,0.0002113562,0.0001426234,0.00006449291,0.0004212314,0.00003282753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001063592,"about_ca_system_score_gemma":0.00004095738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004681695,"about_ca_topic_score_gemma":0.000285745,"domain_scores_codex":[0.998368,0.000006799674,0.0003178945,0.0004048801,0.0002047205,0.0006977625],"domain_scores_gemma":[0.9990498,0.00004017918,0.00004000343,0.0006909103,0.00008888335,0.00009017856],"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":[0.00002334557,0.00004119851,0.0003232969,0.00006419338,0.0002054916,0.00002071984,0.00002021167,0.9876294,0.003215703,0.0006158079,0.007648496,0.0001921493],"study_design_scores_gemma":[0.0005672098,0.00008372939,0.00001754397,0.00003616884,0.0001805353,0.00002594999,0.00003614696,0.9652475,0.02375877,0.005029039,0.004687216,0.0003301624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1322488,0.0003836375,0.8329898,0.01326223,0.0001616055,0.0006106993,0.00004766942,0.00212804,0.01816756],"genre_scores_gemma":[0.9741086,0.00005305036,0.02122479,0.00003648739,0.0001616486,0.0001339351,0.00004514289,0.00009538448,0.004140892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8418599,"threshold_uncertainty_score":0.9999906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004566009382792365,"score_gpt":0.203015686418033,"score_spread":0.1984496770352406,"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."}}