{"id":"W2054043212","doi":"10.1115/1.1944029","title":"Impact of Brine Flow and Mixing in the Reservoir on Scale Control Risk Assessment and Subsurface Treatment Options: Case Histories","year":2005,"lang":"en","type":"article","venue":"Journal of Energy Resources Technology","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nalco (Canada)","funders":"","keywords":"Brine; Scaling; Petroleum engineering; Submarine pipeline; Environmental science; Flow assurance; Mixing (physics); Scale (ratio); Computer science; Risk analysis (engineering); Geology; Business; Oceanography; Mathematics; Chemistry; Geography","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":[0.0004592065,0.0001286799,0.0003069249,0.00040458,0.00004921387,0.0000186029,0.0001019968,0.000110314,0.000003488875],"category_scores_gemma":[0.00007151838,0.0000839592,0.00006284336,0.0002154918,0.00006654024,0.00007444505,0.00001282419,0.0002342763,4.778712e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001927149,"about_ca_system_score_gemma":0.00001271229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006373997,"about_ca_topic_score_gemma":0.000121294,"domain_scores_codex":[0.9992081,0.0001061568,0.0003539206,0.00008264468,0.0001096854,0.0001394945],"domain_scores_gemma":[0.9992968,0.0003121623,0.0001228614,0.0001776591,0.00004988572,0.00004060088],"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":[0.00003889157,0.00004211732,0.02148576,0.000007163826,0.0000815391,0.00007309332,0.0003390824,0.966817,0.0005793212,0.0001005663,0.0000116721,0.01042378],"study_design_scores_gemma":[0.004217097,0.002022417,0.03004702,0.0001003467,0.0001060721,0.002517647,0.0007326207,0.9429429,0.001084734,0.0004102269,0.01557526,0.0002436715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877925,0.004188486,0.007514465,0.0002894396,0.00003253882,0.00004359199,0.000006205531,0.00002886793,0.0001039057],"genre_scores_gemma":[0.983418,0.001118999,0.01537305,0.000003359536,0.00005066297,0.00000474152,3.510839e-7,0.0000129311,0.00001785321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02387412,"threshold_uncertainty_score":0.3423757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009757601838654411,"score_gpt":0.286419198388831,"score_spread":0.2766615965501766,"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."}}