{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004584339,0.0001045717,0.0001293427,0.00004436409,0.0001810926,0.00004142818,0.0002784868,0.00002239958,0.000002878046],"category_scores_gemma":[0.00005661724,0.00005277622,0.00002088839,0.0002639547,0.00003623655,0.0004274975,0.0000421467,0.0001223027,1.848715e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006670195,"about_ca_system_score_gemma":0.000151923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1743964,"about_ca_topic_score_gemma":0.7596741,"domain_scores_codex":[0.999019,0.000121202,0.0003244246,0.0001568279,0.000274806,0.0001037568],"domain_scores_gemma":[0.999093,0.00004075841,0.00007282643,0.0006644772,0.0001056246,0.00002334503],"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":[0.00001120223,0.00008488821,0.002142212,0.0000386054,0.000046585,0.000003907589,0.007077307,0.986932,0.00005376576,8.245116e-7,0.003419195,0.000189504],"study_design_scores_gemma":[0.0003950414,0.0001031633,0.0002356409,0.00003868324,0.0001363483,0.00009514608,0.03127749,0.9633373,0.003788742,0.000002544723,0.0005008366,0.00008907953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655786,0.0000540527,0.02720826,0.005495547,0.0003446311,0.001140702,0.0001115908,0.00001567877,0.00005100957],"genre_scores_gemma":[0.9963762,0.00000172703,0.003140371,0.00003275695,0.0001687348,0.00007170308,0.0001379931,0.00001140873,0.00005914181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5852777,"threshold_uncertainty_score":0.8311014,"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."}}