{"id":"W3213888940","doi":"10.1016/j.petrol.2021.109801","title":"Semianalytical model of complex fracture growth in vertical wells based on boundary element theory","year":2021,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Hydraulic fracturing; Superposition principle; Fracture (geology); Mechanics; Geology; Boundary value problem; Boundary element method; Petroleum engineering; Geotechnical engineering; Permeability (electromagnetism); Finite element method; Structural engineering; Mathematics; Engineering; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008969802,0.0001186461,0.000287748,0.000420376,0.00003786266,0.00004822484,0.0001839786,0.00005192323,0.00002891339],"category_scores_gemma":[0.000221585,0.00009592219,0.00008891569,0.0004178919,0.00008807416,0.0001634939,0.00002530626,0.0003731493,7.482309e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001336997,"about_ca_system_score_gemma":0.0001567396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002271264,"about_ca_topic_score_gemma":0.000001182453,"domain_scores_codex":[0.9986581,0.00001512309,0.0003645426,0.0001193942,0.0005830062,0.0002597877],"domain_scores_gemma":[0.9994501,0.0001076287,0.00002991277,0.0001223677,0.0001266929,0.0001632599],"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":[0.00001155857,0.0000325599,0.0002932956,0.00006370337,0.00002236524,0.00003825625,0.00006561329,0.9730455,0.02615154,0.00009212059,0.00006903615,0.0001144507],"study_design_scores_gemma":[0.0002994214,0.00004195236,0.00348946,0.0001170288,0.00002786179,0.00001428189,0.00005608586,0.9771842,0.01835964,0.000088048,0.0002254426,0.00009659859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8220954,0.0003737602,0.1755141,0.0007978086,0.0001305622,0.00002212463,0.000002733894,0.00002087499,0.001042664],"genre_scores_gemma":[0.9981846,0.00006298916,0.001560264,0.0001248906,0.00004696542,4.785302e-7,4.929209e-7,0.0000101959,0.000009128863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1760892,"threshold_uncertainty_score":0.3911593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007767443506547262,"score_gpt":0.2153351008553266,"score_spread":0.2075676573487793,"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."}}