{"id":"W2318979386","doi":"10.2118/124077-ms","title":"Generating 3-D Permeability Map of Fracture Networks Using Well, Outcrop and Pressure Transient Data","year":2009,"lang":"en","type":"article","venue":"SPE/EAGE Reservoir Characterization and Simulation Conference","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fractal; Permeability (electromagnetism); Fracture (geology); Geology; Geotechnical engineering; Mathematics; Mathematical analysis","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":[0.0002708771,0.0004455182,0.000313944,0.001524598,0.0002124834,0.0004207701,0.0005602572,0.0004852155,0.002261207],"category_scores_gemma":[0.001180354,0.000359667,0.0006586572,0.0008323844,0.0001672427,0.0004922558,0.0003661888,0.0002795937,0.000271449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000537448,"about_ca_system_score_gemma":0.000534595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0103134,"about_ca_topic_score_gemma":0.009859757,"domain_scores_codex":[0.9999138,0.00001214421,0.000006309597,0.00002346639,0.00003017818,0.00001413277],"domain_scores_gemma":[0.9995858,0.0001726816,0.00003914657,0.00007178067,0.0001026242,0.00002788734],"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":[0.0000835068,0.00008509911,0.007415433,0.0000405579,0.0000267609,0.000137397,0.00006071015,0.9671582,0.006103173,0.0006026474,0.0004281781,0.01785826],"study_design_scores_gemma":[0.000004776214,0.00001231395,0.002269928,0.000002291427,0.000003715092,0.00001556816,0.00001271098,0.9949754,0.002310975,0.0002329744,0.0001510122,0.000008434004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8027796,0.00002892799,0.1870096,0.00006589612,0.00001518209,0.0001449321,0.004487107,0.002939893,0.002528697],"genre_scores_gemma":[0.9394484,0.00003528216,0.05770809,0.000006680545,0.000003041673,0.00008087142,0.002141527,0.00009336596,0.0004826823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0103134,"threshold_uncertainty_score":0.02050674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02878174468544423,"score_gpt":0.2673257577733956,"score_spread":0.2385440130879514,"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."}}