{"id":"W1997096058","doi":"10.2118/95474-ms","title":"Experimental and Stochastic Modeling of Diffusion-Controlled Matrix-Fracture Transfer in Naturally Fractured Reservoirs","year":2005,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fracture (geology); Percolation (cognitive psychology); Displacement (psychology); Mechanics; Materials science; Fractal; Diffusion; Matrix (chemical analysis); Flow (mathematics); Percolation theory; Diffusion process; Stochastic modelling; Composite material; Thermodynamics; Mathematics; Physics; Computer science; Statistics; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002753022,0.0001649836,0.0002693897,0.0002122248,0.0001996364,0.0002406025,0.000468922,0.0003764523,0.000398527],"category_scores_gemma":[0.0009604288,0.0001744755,0.0001864199,0.0001838102,0.0004123531,0.0002744753,0.0001813443,0.0002609188,0.00003363594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000830068,"about_ca_system_score_gemma":0.0004112492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006694297,"about_ca_topic_score_gemma":0.003811299,"domain_scores_codex":[0.9998955,0.00001743267,0.000006270514,0.00002207554,0.00003670462,0.00002196315],"domain_scores_gemma":[0.9995295,0.0002885899,0.00006278214,0.00003639871,0.00006128984,0.00002156739],"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":[0.0001662438,0.00009554943,0.003806518,0.00006299191,0.00001612194,0.0001565771,0.00008280761,0.8348576,0.1545824,0.002789704,0.00009188162,0.003291629],"study_design_scores_gemma":[0.000006025964,0.00002763302,0.000627575,7.132296e-7,0.000001452025,0.000007508944,0.00000582709,0.9852958,0.01384683,0.0001490605,0.0000271744,0.000004458965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901869,0.00002965706,0.009323334,0.0000405741,0.000002793066,0.000008917427,0.00004951772,0.00004601297,0.0003123775],"genre_scores_gemma":[0.9988608,0.00001278585,0.001031741,0.000001239773,6.374869e-7,0.000005755522,0.00001172555,0.000001327822,0.00007404229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006694297,"threshold_uncertainty_score":0.01331067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008263794145647388,"score_gpt":0.2445208321652103,"score_spread":0.2362570380195629,"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."}}