{"id":"W2236203789","doi":"10.2118/173210-pa","title":"Simulation of Coupled Thermal/Hydrological/Mechanical Phenomena in Porous Media","year":2015,"lang":"en","type":"article","venue":"SPE Journal","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Energy Technology Laboratory; CMG Reservoir Simulation Foundation; Colorado School of Mines; U.S. Department of Energy","keywords":"Poromechanics; Cauchy stress tensor; Permeability (electromagnetism); Porous medium; Stress (linguistics); Strain rate tensor; Thermal; Geotechnical engineering; Flow (mathematics); Mechanics; Reservoir engineering; Reservoir simulation; Stress field; Geology; Porosity; Petroleum engineering; Mathematics; Finite element method; Engineering; Thermodynamics; Physics; Mathematical analysis; Structural engineering; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000570747,0.0000849751,0.00021332,0.00007157219,0.00001101027,0.000008201819,0.0001147838,0.00005620676,0.00004922587],"category_scores_gemma":[0.001177467,0.00007009732,0.00003213879,0.0001624058,0.00002315559,0.0000855188,0.00002124737,0.0002623424,0.00001040211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009482609,"about_ca_system_score_gemma":0.00001798185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.691796e-7,"about_ca_topic_score_gemma":3.676183e-7,"domain_scores_codex":[0.9990549,0.00006110041,0.0004130248,0.0000618001,0.000267717,0.0001414199],"domain_scores_gemma":[0.9987565,0.0008909821,0.00009802424,0.00007628137,0.00007662765,0.0001016298],"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":[0.0000166646,0.00003015981,0.0000488679,0.000008337635,0.00000814175,0.00001164864,0.0002330484,0.9894076,0.0007024021,0.0006184462,0.00000550598,0.008909167],"study_design_scores_gemma":[0.0003672914,0.00005004685,0.0002100633,0.00001687769,0.000004361311,0.00001492652,0.00005292339,0.8587319,0.0001203643,0.1403083,0.0000567143,0.00006624064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2297977,0.0001877978,0.7689303,0.00004844784,0.0002997544,0.00005480559,8.475898e-7,0.00004142369,0.0006389943],"genre_scores_gemma":[0.7672356,0.00001046319,0.2325034,0.00002281494,0.0002100205,0.000001016583,5.783954e-7,0.00001368359,0.000002420669],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5374379,"threshold_uncertainty_score":0.2858486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06426690545445139,"score_gpt":0.3265385002750561,"score_spread":0.2622715948206047,"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."}}