{"id":"W2062707764","doi":"10.2118/129989-ms","title":"Field Applications of Behind-Pipe Saturation Evaluation in a Miscible CO2 Flood","year":2010,"lang":"en","type":"article","venue":"SPE Improved Oil Recovery Symposium","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Petroleum engineering; Saturation (graph theory); Oil field; Well logging; Flood myth; Logging; Water saturation; Environmental science; Geology; Geotechnical engineering; Mathematics","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":[0.000383358,0.0001455603,0.0002051472,0.0002909386,0.00004074091,0.00004584606,0.000165564,0.0001943464,0.0001842975],"category_scores_gemma":[0.00007682676,0.0001469072,0.0001027518,0.0004101488,0.00002095613,0.0003121688,0.00002036046,0.0003028592,0.00003270151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005767454,"about_ca_system_score_gemma":0.00007971811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001687278,"about_ca_topic_score_gemma":0.003536695,"domain_scores_codex":[0.9988744,0.00003677545,0.0004212439,0.0002176441,0.0002606092,0.0001893069],"domain_scores_gemma":[0.9992515,0.00007348342,0.00008331404,0.0003920555,0.0001313127,0.00006835811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002755334,0.0000734757,0.0002131807,0.00008747233,0.00005065466,4.014634e-7,0.0003353248,0.03626863,0.9267606,0.00004423676,0.0002168264,0.03592167],"study_design_scores_gemma":[0.0007807611,0.00009329213,0.0002082497,0.00002512909,0.00008895244,0.000002410128,0.0001210862,0.7001489,0.2935342,0.0007009276,0.004013713,0.0002823375],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374112,0.0002623916,0.009992761,0.001475678,0.001393085,0.0006412528,0.00003271243,0.0002184342,0.04857241],"genre_scores_gemma":[0.9975199,0.0002364569,0.0009013895,0.00004581174,0.0001637333,0.00021928,0.00009952724,0.00002497274,0.0007889859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6638803,"threshold_uncertainty_score":0.5990703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00603801289580263,"score_gpt":0.228154340373297,"score_spread":0.2221163274774944,"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."}}