{"id":"W2088261864","doi":"10.2523/iptc-13203-ms","title":"Case Study of Successful Matrix Stimulation of High-Water-Cut Wells in Dubai Offshore Fields","year":2009,"lang":"en","type":"article","venue":"International Petroleum Technology Conference","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Schlumberger (Canada)","funders":"","keywords":"Petroleum engineering; Submarine pipeline; Produced water; Petroleum; Carbonate; Environmental science; Oil in place; Water cut; Matrix (chemical analysis); Well stimulation; Geology; Oil well; Geotechnical engineering; Materials science; Reservoir engineering; Composite material","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":[0.0007277726,0.000550274,0.000359612,0.0004867084,0.001197061,0.0007257205,0.0008112163,0.001226344,0.002030743],"category_scores_gemma":[0.0007932489,0.0001840062,0.0003543634,0.0003539964,0.0007324067,0.0003146749,0.0007045761,0.000387759,0.0003390413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008515242,"about_ca_system_score_gemma":0.0009081067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004498649,"about_ca_topic_score_gemma":0.01477827,"domain_scores_codex":[0.9993796,0.0001449284,0.00003821443,0.00007650649,0.0002277999,0.0001329208],"domain_scores_gemma":[0.9991952,0.0002736649,0.0001051336,0.00006557,0.0001754569,0.0001849535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"case_report","study_design_scores_codex":[0.002184645,0.002172456,0.09441781,0.00251621,0.0001964459,0.1513673,0.00526225,0.1851886,0.4070437,0.004990543,0.002944873,0.1417151],"study_design_scores_gemma":[0.0003527446,0.01186569,0.09458954,0.0004730086,0.0002406914,0.02216865,0.0214556,0.1562165,0.6503631,0.002812651,0.03917414,0.0002876887],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860415,0.0001927188,0.009317178,0.000148726,0.00001922393,0.0002759099,0.00009296684,0.00005930203,0.003852382],"genre_scores_gemma":[0.9896388,0.0001067146,0.007752488,0.00001468135,0.000004440623,0.00005645511,0.00002918032,0.000009286387,0.002387913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004498649,"threshold_uncertainty_score":0.008944929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041817660618798,"score_gpt":0.2605927357694853,"score_spread":0.2501745591632973,"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."}}