{"id":"W2587419261","doi":"10.2118/184961-ms","title":"Insulated Coiled Tubing as a Tool for a Thermal EOR Process Through Non-thermal Well","year":2017,"lang":"en","type":"article","venue":"SPE Canada Heavy Oil Technical Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coiled tubing; Petroleum engineering; Oil well; Drawdown (hydrology); Thermal; Thermal conduction; Enhanced oil recovery; Thermal fluids; Pressure drop; Materials science; Mechanics; Heat transfer; Geology; Geotechnical engineering; Composite material; Thermal resistance; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003842282,0.0003059428,0.0003179659,0.0002752395,0.0002940541,0.000536281,0.0006152432,0.0003174589,0.002647929],"category_scores_gemma":[0.000555467,0.0002009677,0.0003494766,0.0002695989,0.0002848901,0.0006262655,0.0002866132,0.0002932621,0.0007126371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005326688,"about_ca_system_score_gemma":0.0004794807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008526894,"about_ca_topic_score_gemma":0.0008227563,"domain_scores_codex":[0.9997129,0.00007054568,0.00001683027,0.00004734569,0.0001270006,0.00002532135],"domain_scores_gemma":[0.9997495,0.00007916191,0.0000528038,0.00005929134,0.00004711469,0.00001214021],"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":[0.0002529207,0.0002522679,0.002881763,0.0008059595,0.00003018619,0.0007094134,0.0003432505,0.3604052,0.5427482,0.01114211,0.001586238,0.07884236],"study_design_scores_gemma":[0.00002447379,0.0007431481,0.001211584,0.00005781644,0.00003576502,0.000284118,0.00005845168,0.5453038,0.4308513,0.001157319,0.02022648,0.00004585257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4801916,0.0009964453,0.5039005,0.0002486758,0.000181353,0.000243131,0.0003486874,0.004327938,0.009561766],"genre_scores_gemma":[0.9427539,0.0002052865,0.0523892,0.00001569523,0.000006171474,0.00004312628,0.00008778016,0.0001002376,0.004398594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002647929,"threshold_uncertainty_score":0.008858204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528430567450776,"score_gpt":0.2651622110361898,"score_spread":0.249877905361682,"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."}}