{"id":"W4293115899","doi":"10.11159/iccpe22.126","title":"Prediction of Critical pH for Fines Migration Pre and Post Nanofluid Treatment in Sandstone Reservoirs using the DLVO Modelling","year":2022,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"DLVO theory; Nanofluid; Petroleum engineering; Geology; Environmental science; Geotechnical engineering; Materials science; Chemical engineering; Engineering; Nanotechnology; Nanoparticle; Colloid","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002417167,0.0003109278,0.0002911357,0.0003981455,0.0002413971,0.0005032591,0.0004418909,0.0008814794,0.0005639357],"category_scores_gemma":[0.0006739229,0.0002631041,0.0006908913,0.0001827316,0.0002285437,0.0004260947,0.0003197899,0.0003539105,0.0001337836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009417574,"about_ca_system_score_gemma":0.000702157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02024627,"about_ca_topic_score_gemma":0.009158154,"domain_scores_codex":[0.9999207,0.000008156768,0.000005964717,0.00001896751,0.00002188672,0.00002428072],"domain_scores_gemma":[0.9997932,0.000109603,0.00003373679,0.000008280165,0.00004150653,0.00001368672],"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":[0.0001336818,0.00004602273,0.009830616,0.0001154574,0.00002237655,0.0001842369,0.00009405674,0.9333691,0.04842937,0.001251883,0.0002757882,0.006247442],"study_design_scores_gemma":[0.000005162932,0.00002244702,0.001360386,0.000005390306,0.000003502028,0.00001108626,0.0000192217,0.9920228,0.006150613,0.0001965323,0.0001957223,0.000007319806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9208707,0.0004083714,0.072699,0.0002293978,0.0000284497,0.00008735905,0.0005422222,0.0003218529,0.004812668],"genre_scores_gemma":[0.9936599,0.000141667,0.004802551,0.0000195382,0.000002246166,0.00005409765,0.0001355177,0.0000165767,0.00116786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02024627,"threshold_uncertainty_score":0.04025686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489263650661883,"score_gpt":0.2282058947093432,"score_spread":0.2133132582027243,"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."}}