{"id":"W3133926299","doi":"10.2118/204040-ms","title":"Identifying Formation Creep – Ultrasonic Bond Logging Field Examples Validated by Full-Scale Reference Barrier Cell Experiments","year":2021,"lang":"en","type":"article","venue":"SPE/IADC International Drilling Conference and Exhibition","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Casing; Annulus (botany); Sonic logging; Creep; Ultrasonic sensor; Drilling; Azimuth; Petroleum engineering; Well logging; Flexural strength; Scale (ratio); Materials science; Computer science; Geology; Acoustics; Mechanical engineering; Engineering; Composite material; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006217554,0.000268126,0.0002181697,0.0006876264,0.0002367634,0.0003312161,0.000453547,0.0004257024,0.0008457933],"category_scores_gemma":[0.0008115252,0.0001173209,0.0001345666,0.0004924001,0.0003371191,0.0002966902,0.000293721,0.0002940216,0.0003042563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001633167,"about_ca_system_score_gemma":0.0001601627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0011091,"about_ca_topic_score_gemma":0.002954908,"domain_scores_codex":[0.999649,0.00004017568,0.00002124251,0.0000840369,0.00015714,0.00004834917],"domain_scores_gemma":[0.9992719,0.0001860164,0.0001131174,0.0001387833,0.0002365721,0.00005350747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003766726,0.0004984904,0.05660408,0.0001642613,0.00001918065,0.0005200221,0.0008652516,0.004810593,0.8929302,0.0001939098,0.0004957197,0.04252154],"study_design_scores_gemma":[0.00004059061,0.002407725,0.2473455,0.00003334838,0.00006092872,0.0005270694,0.001654213,0.04208593,0.6997636,0.0002891193,0.005717088,0.00007492717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912081,0.0000539703,0.007670382,0.00001480436,0.000007764451,0.00003122522,0.0002271409,0.0001870062,0.0005995161],"genre_scores_gemma":[0.9926192,0.00004390968,0.006684338,0.00001179204,0.000003804034,0.00003537989,0.0001998782,0.00002028784,0.0003814695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0011091,"threshold_uncertainty_score":0.00328815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02222959102344366,"score_gpt":0.2431799912458195,"score_spread":0.2209504002223759,"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."}}