{"id":"W2587246515","doi":"10.2118/182626-ms","title":"A Comprehensive Geochemical-Based Approach at Modeling and Interpreting Brine Dilution in Carbonate Reservoirs","year":2017,"lang":"en","type":"article","venue":"SPE Reservoir Simulation Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"ExxonMobil Research and Engineering Company","keywords":"Dilution; Carbonate; Brine; Enhanced oil recovery; Chemistry; Relative permeability; Thermodynamics; Sorption; Wetting; Mineralogy; Petroleum engineering; Geology; Porosity; Adsorption; Organic chemistry","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":[0.000189345,0.0002131192,0.0002670482,0.0001441199,0.0001493551,0.0001401444,0.0003088817,0.0001545914,0.00001569637],"category_scores_gemma":[0.0002762011,0.0002369074,0.0000414419,0.00008227136,0.0000834672,0.0003728502,0.0002332476,0.0002916955,0.000003440524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002232546,"about_ca_system_score_gemma":0.00002453809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002678623,"about_ca_topic_score_gemma":0.0002077073,"domain_scores_codex":[0.9987653,0.00004622852,0.0003289673,0.0003523692,0.0002115022,0.0002955748],"domain_scores_gemma":[0.9989495,0.0001601779,0.00009200811,0.0005584134,0.0001617276,0.00007818171],"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":[0.00005449346,0.000009764091,0.004283797,0.0001651827,0.000007600969,0.000003011506,0.0001183222,0.9846886,0.009560118,0.00006870153,0.000005400653,0.001034942],"study_design_scores_gemma":[0.0004260314,0.00001668986,0.001780516,0.0002944662,0.000004727583,0.000001033113,0.00002475185,0.9887567,0.007038321,0.001278817,0.0001375569,0.0002404164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8592165,0.0002044934,0.1319379,0.00008549212,0.00005117702,0.0002639438,0.000008934668,0.0002539497,0.007977681],"genre_scores_gemma":[0.9930018,0.0001421894,0.006679337,0.0000142632,0.00002513443,0.00003431928,0.00003286087,0.00003314957,0.00003700552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1337853,"threshold_uncertainty_score":0.9660804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04661769255382674,"score_gpt":0.297694466581285,"score_spread":0.2510767740274583,"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."}}