{"id":"W4288755958","doi":"10.1142/s0218348x2250133x","title":"CHARACTERIZATION OF FRACTAL-LIKE FRACTURE NETWORK USING TRACER FLOWBACK TESTS FOR A MULTIFRACTURED HORIZONTAL WELL IN A TIGHT FORMATION","year":2022,"lang":"en","type":"article","venue":"Fractals","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Fracture (geology); TRACER; Tight gas; Fractal; Discretization; Complex fracture; Matrix (chemical analysis); Hydraulic fracturing; Geology; Advection; Mechanics; Geometry; Computer science; Mathematics; Petroleum engineering; Materials science; Geotechnical engineering; Mathematical analysis; Physics; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004091091,0.0003040998,0.0005439559,0.0003151986,0.0002135911,0.00004333167,0.0002522697,0.0001990816,0.0005278653],"category_scores_gemma":[0.00003717889,0.0003060733,0.0002435063,0.000618525,0.00002251852,0.0005531642,0.00006204102,0.0004924209,0.000009177515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003001321,"about_ca_system_score_gemma":0.00004001976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006661578,"about_ca_topic_score_gemma":0.00006797804,"domain_scores_codex":[0.9980263,0.00009418032,0.0007055274,0.0002885669,0.0004009202,0.0004845664],"domain_scores_gemma":[0.9990811,0.0001572842,0.0002690412,0.0003351078,0.00006440253,0.00009311484],"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":[0.0001135553,0.0001216168,0.0005689511,0.0001988045,0.00009097617,0.000009763226,0.001047133,0.89408,0.1008436,9.267674e-7,0.001079324,0.001845293],"study_design_scores_gemma":[0.001356297,0.0001144056,0.0107965,0.0001028454,0.0001103374,0.00002211262,0.0001814286,0.8571411,0.02649223,0.0000643193,0.1030607,0.0005577735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9484605,0.000412674,0.04913413,0.0001208912,0.0005776777,0.0007207122,0.0001304079,0.0001480473,0.0002950042],"genre_scores_gemma":[0.9968578,0.00004609334,0.001362607,0.0001934758,0.000328613,0.0001539085,0.0008754246,0.00008156415,0.0001005219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1019813,"threshold_uncertainty_score":0.9999391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005359899161748,"score_gpt":0.2273627172209634,"score_spread":0.2173091182293459,"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."}}