{"id":"W4392726670","doi":"10.2118/218363-ms","title":"Rethinking Coiled Tubing String Lifespan Assessment: Leveraging Frequent Inspections for Enhanced Operational Insights","year":2024,"lang":"en","type":"article","venue":"SPE/ICoTA Well Intervention Conference and Exhibition","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Energy","funders":"","keywords":"Coiled tubing; String (physics); Computer science; Engineering; Physics; Petroleum engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002433856,0.0002292112,0.000199684,0.0002764899,0.0002263931,0.0005727494,0.00007898336,0.0001135376,0.000155215],"category_scores_gemma":[0.0000182139,0.0002499199,0.0001457186,0.0001792385,0.00003014488,0.0006497923,0.00002878593,0.0003240488,0.00002389587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000175679,"about_ca_system_score_gemma":0.00003341485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003806196,"about_ca_topic_score_gemma":0.00004379587,"domain_scores_codex":[0.998764,0.00002848752,0.0004264037,0.0003556377,0.0001693841,0.0002560416],"domain_scores_gemma":[0.9995757,0.00008051353,0.00003662687,0.0001279268,0.00009758219,0.00008165858],"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":[0.00003671694,0.0001570372,0.0001565051,0.003827719,0.0006151198,0.00002549179,0.007406076,0.3511749,0.3121319,0.2597375,0.001495791,0.06323525],"study_design_scores_gemma":[0.000504121,0.00008167613,0.0001713812,0.002418956,0.00005509982,0.0000127819,0.0003431521,0.9355277,0.04475439,0.01267419,0.003094896,0.0003616571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2279752,0.0007147338,0.7649927,0.0001232746,0.001405725,0.0002595549,0.00001591468,0.0006577873,0.003855034],"genre_scores_gemma":[0.9961423,0.0003892747,0.002422916,0.00002224649,0.0003803755,0.0001011123,0.000217746,0.00004656186,0.0002774348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7681671,"threshold_uncertainty_score":0.9999953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02456697804982388,"score_gpt":0.2642700984590577,"score_spread":0.2397031204092338,"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."}}