{"id":"W4388180038","doi":"10.1016/j.energy.2023.129505","title":"Optimized lower pressure limit for condensate underground gas storage using a dynamic pseudo-component model","year":2023,"lang":"en","type":"article","venue":"Energy","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Natural gas; Context (archaeology); Joule–Thomson effect; Petroleum engineering; Component (thermodynamics); Particle swarm optimization; Limit (mathematics); Process engineering; Environmental science; Thermodynamics; Computer science; Engineering; Mathematics; Waste management; Physics; Geology; Algorithm","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":[0.0002471028,0.0004695634,0.0009889364,0.0003425401,0.0005401683,0.001186493,0.0008071828,0.0008257185,0.004385837],"category_scores_gemma":[0.0006013056,0.0003742895,0.0004594754,0.0004361959,0.0004930376,0.000851906,0.0005247737,0.0006270575,0.0005238348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008157184,"about_ca_system_score_gemma":0.001269683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009944294,"about_ca_topic_score_gemma":0.007951004,"domain_scores_codex":[0.9999028,0.00002318324,0.000004139973,0.00001533823,0.00003480794,0.00001965857],"domain_scores_gemma":[0.9998223,0.00009208983,0.00001164046,0.00001537676,0.00004881525,0.000009676972],"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":[0.00005869217,0.00001666058,0.0001172636,0.00005491123,0.00001013053,0.00004397971,0.000020396,0.9842449,0.002732592,0.008162711,0.0005116904,0.004026137],"study_design_scores_gemma":[0.000003381542,0.000003293389,0.00002280749,0.000001498301,0.000001678353,0.000001917358,0.000002674089,0.9990428,0.0003242775,0.0004799206,0.0001140318,0.00000168829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1309172,0.0006759822,0.8230961,0.0005182566,0.0001311981,0.0001322353,0.0005528564,0.001052472,0.04292371],"genre_scores_gemma":[0.977164,0.0001524341,0.01621689,0.00004398491,0.00001507482,0.0001163758,0.0001507914,0.000133531,0.006006936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009944294,"threshold_uncertainty_score":0.01977283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01655618578129776,"score_gpt":0.2380066620677907,"score_spread":0.221450476286493,"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."}}