{"id":"W3209599647","doi":"","title":"Simulating hydraulic fracturing using Finite-Discrete Element Method (FDEM): Effects of pre-existing joints and induced seismicity","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Geology; Induced seismicity; Hydraulic fracturing; Isotropy; Shear (geology); Fracture (geology); Geotechnical engineering; Finite element method; Homogeneous; Slippage; Stress field; Joint (building); Seismology; Structural engineering; Petrology; Engineering","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":[0.0002562775,0.0004367006,0.0004749677,0.0003478042,0.0002877534,0.0004978848,0.0007170451,0.001768819,0.002094089],"category_scores_gemma":[0.00149602,0.0003852838,0.000392454,0.0003828453,0.0005758475,0.0004867351,0.0003677364,0.0005163208,0.0001355168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003830158,"about_ca_system_score_gemma":0.0005620166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005180937,"about_ca_topic_score_gemma":0.004800923,"domain_scores_codex":[0.9998909,0.00002608754,0.000008624345,0.00001814263,0.00003480646,0.00002141166],"domain_scores_gemma":[0.998934,0.0007641352,0.00007372352,0.00007988414,0.00009665466,0.00005162053],"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":[0.00007132802,0.00006975204,0.00104663,0.00004601372,0.00001012241,0.00009421776,0.00006328028,0.9878149,0.006705174,0.0004615341,0.0001147583,0.003502189],"study_design_scores_gemma":[0.000006646789,0.00001421502,0.0002440066,0.0000024086,0.000002882343,0.000009881337,0.00001084915,0.99778,0.001779086,0.00008233242,0.00006388958,0.000003747758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8997872,0.00012785,0.09370492,0.0001632094,0.00006695557,0.00006037314,0.0003600166,0.0006124331,0.005117092],"genre_scores_gemma":[0.9867145,0.00004019633,0.01204069,0.00001548256,0.000005123399,0.00002343925,0.00009111884,0.00004434772,0.00102503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005180937,"threshold_uncertainty_score":0.01030153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732527938536417,"score_gpt":0.2668936477617824,"score_spread":0.2495683683764182,"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."}}