{"id":"W2901658185","doi":"10.25071/10315/35311","title":"Modeling The Effect Of Produced Water On Asphaltene Deposition In A Production Tubing Using Population Balance","year":2018,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Deposition (geology); Petroleum engineering; Balance (ability); Production (economics); Population; Asphaltene; Environmental science; Produced water; Materials science; Process engineering; Chemical engineering; Geology; Engineering; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002928288,0.0005214245,0.0004492521,0.0003975296,0.0005507775,0.0007645965,0.0007886164,0.00149827,0.002816254],"category_scores_gemma":[0.0009744764,0.0004869844,0.0007218021,0.0002882009,0.0006903925,0.0009360513,0.0005612955,0.0005692752,0.0002492793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518653,"about_ca_system_score_gemma":0.001176609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03713708,"about_ca_topic_score_gemma":0.01173538,"domain_scores_codex":[0.9999018,0.00002003304,0.000004394116,0.00002393236,0.00001696777,0.00003296451],"domain_scores_gemma":[0.9996433,0.0002075047,0.0000603217,0.00001422503,0.00004420871,0.00003047748],"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":[0.00001614541,0.00001811183,0.00105011,0.00001175778,0.000005885531,0.00004417016,0.00001725548,0.9939843,0.003010942,0.001180476,0.00004039636,0.0006205692],"study_design_scores_gemma":[0.000007216518,0.00001649184,0.0002707173,0.000001182427,0.000004038528,0.000004922646,0.000009206611,0.9988658,0.0004879621,0.0002587734,0.00007043981,0.000003274383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9023493,0.0001621013,0.08348055,0.000417471,0.00003560345,0.00008843679,0.0003984479,0.0001307193,0.01293749],"genre_scores_gemma":[0.9876567,0.0001420217,0.00613794,0.00004816447,0.000007675078,0.0001016339,0.00009628858,0.00003250677,0.005777059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03713708,"threshold_uncertainty_score":0.07384187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008097657888109523,"score_gpt":0.2367769160446594,"score_spread":0.2286792581565499,"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."}}