{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000102091,0.0001232068,0.0002276441,0.0007061868,0.00001409331,0.000009388566,0.0002883886,0.0001679138,0.00007828089],"category_scores_gemma":[0.00002346409,0.0001147552,0.00002633179,0.0001767315,0.00005245722,0.0001344153,0.0000439724,0.0002351355,0.000003835517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004064977,"about_ca_system_score_gemma":0.00001022089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003460813,"about_ca_topic_score_gemma":0.0002413785,"domain_scores_codex":[0.9990812,0.00001505678,0.0004272725,0.0001859071,0.0001600284,0.0001305365],"domain_scores_gemma":[0.9994857,0.00001752051,0.00007299494,0.0002348856,0.0001734606,0.00001546269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00037939,0.004184058,0.3858391,0.0002436689,0.0005660701,0.002722353,0.00480782,0.2577828,0.1022349,0.0365731,0.0007941424,0.2038725],"study_design_scores_gemma":[0.002335392,0.001645803,0.01634185,0.0001447914,0.00004384203,0.0007746244,0.002346379,0.03551644,0.9025139,0.0375856,0.0002477821,0.0005036457],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965897,0.00002338979,0.001343826,0.0009560228,0.0002085531,0.0001184565,0.000007424257,0.0002563885,0.0004962187],"genre_scores_gemma":[0.9994138,0.00002317263,0.0004211794,0.000007824986,0.00002018675,0.00001498721,0.000007380668,0.000007679469,0.00008371826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.800279,"threshold_uncertainty_score":0.4679583,"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."}}