{"id":"W4386866145","doi":"10.1016/j.geoen.2023.212350","title":"Finite element modeling of wellbore stability in a fractured formation for the geothermal development in northern Quebec, Canada","year":2023,"lang":"en","type":"article","venue":"Geoenergy Science and Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Concordia University","funders":"Concordia University","keywords":"Borehole; Geothermal gradient; Geology; Geothermal energy; Drilling; Lithology; Petroleum engineering; Geotechnical engineering; Permeability (electromagnetism); Pore water pressure; Finite element method; Fracture (geology); Petrology; Geophysics; Engineering","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":[0.00026475,0.0005084012,0.0005106255,0.0008500698,0.002062929,0.001952594,0.001621189,0.00161051,0.005598522],"category_scores_gemma":[0.000834132,0.0005790132,0.0005582282,0.0008770453,0.0009609917,0.0004170348,0.0005533398,0.0006198563,0.0004811053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01025062,"about_ca_system_score_gemma":0.01216173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9469558,"about_ca_topic_score_gemma":0.9533834,"domain_scores_codex":[0.9998392,0.00001676501,0.00000779192,0.00003101815,0.00004763348,0.00005762162],"domain_scores_gemma":[0.9996836,0.00008501049,0.00002403504,0.00001336327,0.0001474891,0.0000464615],"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":[0.00003816993,0.00005778309,0.008667924,0.00002854622,0.00001529773,0.0001319331,0.0001277111,0.9835603,0.001334773,0.001185621,0.0006366709,0.004215269],"study_design_scores_gemma":[0.000009445899,0.000009074949,0.004305377,0.00001024921,0.000005361573,0.000009820429,0.0002079823,0.9944823,0.0002185391,0.0001272913,0.0006016864,0.00001293012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524586,0.0002990091,0.02067106,0.0004462706,0.00004376925,0.0000959969,0.001919584,0.0002214716,0.02384427],"genre_scores_gemma":[0.9869458,0.0001153747,0.003700326,0.00003220905,0.000003765097,0.00004038849,0.0003823015,0.00004792566,0.008731875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0530442,"threshold_uncertainty_score":0.1067131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150495566848523,"score_gpt":0.1821437550902553,"score_spread":0.1706387994217701,"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."}}