{"id":"W2927380616","doi":"10.2118/193879-ms","title":"A General Framework Model for Fully Coupled Thermal-Hydraulic-Mechanical Simulation of CO2 EOR Operations","year":2019,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Energi Simulation","keywords":"Solver; Geomechanics; Computer science; Reservoir simulation; Work (physics); Isothermal process; Mechanics; Mechanical engineering; Engineering; Thermodynamics; Petroleum engineering; Physics; Geotechnical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004352091,0.0008384714,0.0009055992,0.0006639957,0.0007828078,0.001113222,0.002010439,0.001930394,0.004118712],"category_scores_gemma":[0.0007533772,0.0004897492,0.001263568,0.0005287522,0.0009688825,0.0009752686,0.001466516,0.001005927,0.0005655147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001220998,"about_ca_system_score_gemma":0.001800032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01842158,"about_ca_topic_score_gemma":0.0109229,"domain_scores_codex":[0.9997423,0.00006663289,0.00001501783,0.00005289092,0.00009001365,0.00003317708],"domain_scores_gemma":[0.99979,0.00006763884,0.00002879128,0.00002215618,0.0000667645,0.00002459323],"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":[0.00001276246,0.00002537908,0.0003313152,0.00003950899,0.00002586821,0.00008565798,0.00004262738,0.9596892,0.002498362,0.03485741,0.0003351548,0.002056709],"study_design_scores_gemma":[0.000005828746,0.000005551426,0.00004404968,0.000002211408,0.000002719051,0.000006775037,0.000004645526,0.9971697,0.0001116319,0.001870151,0.0007733102,0.00000344857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03660119,0.0005014482,0.9394614,0.0005259208,0.0001540195,0.0001902983,0.0007761114,0.0005920485,0.02119752],"genre_scores_gemma":[0.7591376,0.001067854,0.2129718,0.00029469,0.0001903282,0.001347388,0.0009493962,0.0003834676,0.02365757],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01842158,"threshold_uncertainty_score":0.03662872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03514568842260632,"score_gpt":0.3099948069832782,"score_spread":0.2748491185606718,"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."}}