{"id":"W4256356763","doi":"10.2118/168594-pa","title":"Calibration of Well Logs With Mini-Frac Data for Estimating the Minimum Horizontal Stress in the Tight-Gas Monteith Formation of the Western Canada Sedimentary Basin: A Case Study","year":2015,"lang":"en","type":"article","venue":"SPE Production & Operations","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; University of Calgary; ConocoPhillips","keywords":"Biot number; Geology; Hydraulic fracturing; Constant (computer programming); Calibration; Stress (linguistics); Geotechnical engineering; Petroleum engineering; Mathematics; Mechanics; Statistics; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007573095,0.0005284786,0.0002517423,0.001288476,0.0004954668,0.0005484053,0.0008542573,0.0004324305,0.00050828],"category_scores_gemma":[0.001844821,0.0002405947,0.0001924769,0.001615581,0.0003508887,0.0003182003,0.000400149,0.000272056,0.0001818114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002109178,"about_ca_system_score_gemma":0.00169009,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2594641,"about_ca_topic_score_gemma":0.5200616,"domain_scores_codex":[0.9994016,0.000045232,0.00004147136,0.0001122302,0.0003321763,0.00006738751],"domain_scores_gemma":[0.9983763,0.0002322004,0.0002654981,0.0002331271,0.000791303,0.0001015703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"case_report","study_design_scores_codex":[0.000350048,0.000300937,0.8107922,0.0001011172,0.00006661714,0.0006125251,0.0009407752,0.04962934,0.04895981,0.0002890352,0.0006569292,0.0873007],"study_design_scores_gemma":[0.00001630121,0.000141529,0.8735315,0.00002417561,0.00002252968,0.0001525327,0.0009325669,0.1003445,0.02299334,0.00008876818,0.001713148,0.00003896029],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939557,0.00004463144,0.004195032,0.00001614797,0.000003356597,0.00005099045,0.0005033714,0.0001344286,0.001096395],"genre_scores_gemma":[0.9919651,0.00003396044,0.007128398,0.000006428438,0.000001243838,0.00002720299,0.0004410438,0.000008010299,0.0003887247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7405359,"threshold_uncertainty_score":0.5159078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02456505703199737,"score_gpt":0.2480906532473841,"score_spread":0.2235255962153867,"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."}}