{"id":16834,"date":"2024-07-26T00:55:01","date_gmt":"2024-07-25T16:55:01","guid":{"rendered":"https:\/\/petroleumtubes.com\/?p=16834"},"modified":"2024-07-26T05:05:13","modified_gmt":"2024-07-25T21:05:13","slug":"upgrading-oil-casing-production-anomaly","status":"publish","type":"post","link":"https:\/\/petroleumtubes.com\/tr\/upgrading-oil-casing-production-anomaly\/","title":{"rendered":"\u00dcretim Ayk\u0131r\u0131 De\u011ferlerinin Belirlenmesinde Ya\u011f Muhafazas\u0131 \u00dcretim Anormalli\u011fi Tespitinin Y\u00fckseltilmesi"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_50 counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\" role=\"button\"><label for=\"item-6a68304fe42eb\" aria-hidden=\"true\"><span style=\"display: flex;align-items: center;width: 35px;height: 30px;justify-content: center;direction:ltr;\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/label><input  type=\"checkbox\" id=\"item-6a68304fe42eb\"><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/petroleumtubes.com\/tr\/upgrading-oil-casing-production-anomaly\/#Yag_Muhafazasi_Uretim_Anormalligi_Tespitini_Iyilestirmeye_Yonelik_Gelismis_Teknikler\" title=\"Ya\u011f Muhafazas\u0131 \u00dcretim Anormalli\u011fi Tespitini \u0130yile\u015ftirmeye Y\u00f6nelik Geli\u015fmi\u015f Teknikler\">Ya\u011f Muhafazas\u0131 \u00dcretim Anormalli\u011fi Tespitini \u0130yile\u015ftirmeye Y\u00f6nelik Geli\u015fmi\u015f Teknikler<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/petroleumtubes.com\/tr\/upgrading-oil-casing-production-anomaly\/#Uretim_Sureclerinde_Aykiri_Degerlerin_Belirlenmesine_Yonelik_Gelismis_Stratejiler\" title=\"\u00dcretim S\u00fcre\u00e7lerinde Ayk\u0131r\u0131 De\u011ferlerin Belirlenmesine Y\u00f6nelik Geli\u015fmi\u015f Stratejiler\">\u00dcretim S\u00fcre\u00e7lerinde Ayk\u0131r\u0131 De\u011ferlerin Belirlenmesine Y\u00f6nelik Geli\u015fmi\u015f Stratejiler<\/a><\/li><\/ul><\/nav><\/div>\n<h1 id=\"enhanced-techniques-for-upgrading-oil-casing-production-anomaly-detection-wpaicgheading\"><span class=\"ez-toc-section\" id=\"Yag_Muhafazasi_Uretim_Anormalligi_Tespitini_Iyilestirmeye_Yonelik_Gelismis_Teknikler\"><\/span>Ya\u011f Muhafazas\u0131 \u00dcretim Anormalli\u011fi Tespitini \u0130yile\u015ftirmeye Y\u00f6nelik Geli\u015fmi\u015f Teknikler<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<p>\nPetrol mahfazas\u0131 \u00fcretimi, petrol ve gaz end\u00fcstrisinde, petrol kuyular\u0131n\u0131n b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc ve verimlili\u011fini sa\u011flayan \u00e7ok \u00f6nemli bir rol oynar. Teknoloji ilerledik\u00e7e, petrol mahfazas\u0131 \u00fcretiminde daha karma\u015f\u0131k anormallik tespit tekniklerine olan ihtiya\u00e7 giderek daha belirgin hale geliyor. \u00dcretim s\u00fcre\u00e7lerindeki anormalliklerin tespit edilmesi, operasyonel verimlili\u011fin s\u00fcrd\u00fcr\u00fclmesi, ar\u0131za s\u00fcresinin azalt\u0131lmas\u0131 ve \u00e7al\u0131\u015fanlar\u0131n ve ekipmanlar\u0131n g\u00fcvenli\u011finin sa\u011flanmas\u0131 i\u00e7in \u00f6nemlidir.<\/p>\n<p>Petrol mahfazas\u0131 \u00fcretimindeki geleneksel anormallik tespit y\u00f6ntemleri, geli\u015fmi\u015f tekniklerle a\u015f\u0131labilecek s\u0131n\u0131rlamalara sahiptir. Bu geli\u015fmi\u015f teknikler, anormallik tespitinin do\u011frulu\u011funu ve verimlili\u011fini art\u0131rmak i\u00e7in geli\u015fmi\u015f veri analiti\u011finden, makine \u00f6\u011frenimi algoritmalar\u0131ndan ve ger\u00e7ek zamanl\u0131 izlemeden yararlan\u0131r.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/petroleumtubes.com\/wp-content\/uploads\/2020\/01\/N80-API-5CT-Casing19.jpg\" alt=\"alt-642\" class=\"wp-image-642\" id=\"i642\" \/><\/p>\n<p>Petrol mahfazas\u0131 \u00fcretiminde anormallik tespitindeki en \u00f6nemli zorluklardan biri, \u00fcretim s\u00fcreci s\u0131ras\u0131nda \u00fcretilen verilerin b\u00fcy\u00fck hacmidir. Geleneksel y\u00f6ntemler genellikle bu kadar b\u00fcy\u00fck miktarda veriyi ger\u00e7ek zamanl\u0131 olarak i\u015flemek ve analiz etmek konusunda zorluk \u00e7eker, bu da anormallik tespiti ve yan\u0131t\u0131nda gecikmelere yol a\u00e7ar. Geli\u015fmi\u015f teknikler, verileri h\u0131zl\u0131 bir \u015fekilde i\u015flemek ve analiz etmek i\u00e7in b\u00fcy\u00fck veri analiti\u011fini ve makine \u00f6\u011frenimi algoritmalar\u0131n\u0131 kullanarak bu zorlu\u011fun \u00fcstesinden gelir ve ger\u00e7ek zamanl\u0131 anormallik tespitine olanak tan\u0131r.<\/p>\n<p><a href=\"\/tag\/api-5ct-l80-9cr-casing-maker\" target=\"_blank\"><strong><a href=\"\/tag\/api-5ct-l80\" target=\"_blank\"><strong><a href=\"\/tag\/api-5ct\" target=\"_blank\"><strong><strong>\u00a0API<\/strong> <strong> 5CT<\/strong><\/strong><\/a> <a href=\"\/tag\/l80\" target=\"_blank\"><strong><a href=\"\/tag\/l80-2\" target=\"_blank\"><strong>l80<\/strong><\/a><\/strong><\/a><\/strong><\/a> 9Cr <a href=\"\/tag\/casing\" target=\"_blank\"><strong>casing<\/strong><\/a> <a href=\"\/tag\/maker\" target=\"_blank\"><strong>Maker<\/strong><\/a><\/strong><\/a>\u00dcstelik, petrol mahfazas\u0131 \u00fcretiminde anormallik tespiti i\u00e7in geli\u015ftirilmi\u015f teknikler basit e\u015fi\u011fin \u00f6tesine ge\u00e7er temelli y\u00f6ntemler. Bu teknikler, geleneksel y\u00f6ntemlerle fark edilmeyebilecek ince anormallikleri belirlemek i\u00e7in geli\u015fmi\u015f istatistiksel modeller, \u00f6r\u00fcnt\u00fc tan\u0131ma algoritmalar\u0131 ve tahmine dayal\u0131 analitikler kullan\u0131r. Bu teknikler, ge\u00e7mi\u015f verileri analiz ederek ve kal\u0131plar\u0131 tan\u0131mlayarak potansiyel anormallikleri olu\u015fmadan \u00f6nce tahmin edebilir ve proaktif bak\u0131m ve m\u00fcdahaleye olanak tan\u0131r.<\/p>\n<p>Ayr\u0131ca, petrol mahfazas\u0131 \u00fcretiminde geli\u015fmi\u015f anormallik tespit teknikleri, sens\u00f6r verilerinin birle\u015ftirilmesi ve entegrasyonunu i\u00e7erir. Birden fazla sens\u00f6r ve kaynaktan gelen verileri birle\u015ftiren bu teknikler, \u00fcretim s\u00fcrecinin kapsaml\u0131 bir g\u00f6r\u00fcn\u00fcm\u00fcn\u00fc sa\u011flayarak daha do\u011fru anormallik tespitine ve temel neden analizine olanak tan\u0131r. Sens\u00f6r f\u00fczyonu, anormallik tespit sistemlerinin g\u00fcvenilirli\u011fini ve sa\u011flaml\u0131\u011f\u0131n\u0131 art\u0131r\u0131r, yanl\u0131\u015f pozitifleri azalt\u0131r ve genel sistem performans\u0131n\u0131 art\u0131r\u0131r.<\/p>\n<p>Ya\u011f muhafazas\u0131 \u00fcretim anormalli\u011fi tespitini y\u00fckseltmenin bir di\u011fer \u00f6nemli y\u00f6n\u00fc, anormallik tan\u0131mlaman\u0131n bak\u0131m y\u00f6netimi sistemleriyle entegrasyonudur. Anormallik tespit sistemlerini bak\u0131m programlar\u0131 ve i\u015f ak\u0131\u015flar\u0131yla ba\u011flayarak operat\u00f6rler, tespit edilen anormalliklerin ciddiyetine ve kritikli\u011fine g\u00f6re bak\u0131m g\u00f6revlerini \u00f6nceliklendirebilir ve programlayabilir. Bu proaktif yakla\u015f\u0131m, ekipman ar\u0131zalar\u0131n\u0131n \u00f6nlenmesine, ar\u0131za s\u00fcresinin azalt\u0131lmas\u0131na ve bak\u0131m maliyetlerinin optimize edilmesine yard\u0131mc\u0131 olur.<\/p>\n<p>Sonu\u00e7 olarak, petrol ve gaz end\u00fcstrisindeki operasyonel verimlili\u011fin art\u0131r\u0131lmas\u0131, g\u00fcvenli\u011fin sa\u011flanmas\u0131 ve ar\u0131za s\u00fcresinin azalt\u0131lmas\u0131 i\u00e7in petrol mahfazas\u0131 \u00fcretim anormalli\u011fi tespitinin geli\u015fmi\u015f tekniklerle iyile\u015ftirilmesi esast\u0131r. Operat\u00f6rler, geli\u015fmi\u015f veri analiti\u011fi, makine \u00f6\u011frenimi algoritmalar\u0131, ger\u00e7ek zamanl\u0131 izleme, sens\u00f6r f\u00fczyonu ve bak\u0131m y\u00f6netimi sistemleriyle entegrasyondan yararlanarak anormallik tespit yeteneklerini geli\u015ftirebilir ve \u00fcretim s\u00fcre\u00e7lerini optimize etmek i\u00e7in bilin\u00e7li kararlar alabilir. Bu geli\u015fmi\u015f tekniklerin benimsenmesi, daha verimli ve g\u00fcvenilir bir petrol mahfazas\u0131 \u00fcretim end\u00fcstrisinin yolunu a\u00e7acakt\u0131r.<\/p>\n<h1 id=\"advanced-strategies-for-outlier-identification-in-production-processes-wpaicgheading\"><span class=\"ez-toc-section\" id=\"Uretim_Sureclerinde_Aykiri_Degerlerin_Belirlenmesine_Yonelik_Gelismis_Stratejiler\"><\/span>\u00dcretim S\u00fcre\u00e7lerinde Ayk\u0131r\u0131 De\u011ferlerin Belirlenmesine Y\u00f6nelik Geli\u015fmi\u015f Stratejiler<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<p>\nPetrol mahfazas\u0131 \u00fcretimi, petrol ve gaz end\u00fcstrisinin kritik bir y\u00f6n\u00fcd\u00fcr; burada mahfazan\u0131n kalitesi ve b\u00fct\u00fcnl\u00fc\u011f\u00fc sondaj operasyonlar\u0131n\u0131n verimlili\u011fini ve g\u00fcvenli\u011fini do\u011frudan etkiler. Son y\u0131llarda, genel operasyonel performans\u0131 art\u0131rmak amac\u0131yla ayk\u0131r\u0131 de\u011ferlerin belirlenmesini iyile\u015ftirmek amac\u0131yla \u00fcretim s\u00fcre\u00e7lerinde anormallik tespitine odaklanma yo\u011funla\u015ft\u0131. Petrol mahfazas\u0131 \u00fcretimindeki anormallikleri tespit etmeye y\u00f6nelik mevcut y\u00f6ntemleri geli\u015ftirmek, potansiyel sorunlar\u0131n derhal tespit edilmesini ve ele al\u0131nmas\u0131n\u0131 sa\u011flamak i\u00e7in geli\u015fmi\u015f stratejiler geli\u015ftirilmektedir.<\/p>\n<p>Petrol mahfazas\u0131 \u00fcretiminde anormallik tespitindeki en \u00f6nemli zorluklardan biri, \u00fcretim s\u0131ras\u0131nda \u00fcretilen verilerin b\u00fcy\u00fck hacmidir. \u00fcretim s\u00fcreci. Ayk\u0131r\u0131 de\u011ferlerin belirlenmesine y\u00f6nelik geleneksel y\u00f6ntemler, bu b\u00fcy\u00fck miktardaki veriyi etkili bir \u015fekilde analiz etme ve yorumlama konusunda zorluk ya\u015fayabilir, bu da kritik anormalliklerin potansiyel olarak g\u00f6zden ka\u00e7\u0131r\u0131lmas\u0131na yol a\u00e7abilir. Bu zorlu\u011fun \u00fcstesinden gelmek i\u00e7in, anormallik tespit yeteneklerini geli\u015ftirmek \u00fczere makine \u00f6\u011frenimi ve yapay zeka gibi geli\u015fmi\u015f veri analiti\u011fi teknikleri giderek daha fazla kullan\u0131l\u0131yor.<\/p>\n<p>Makine \u00f6\u011frenimi algoritmalar\u0131, \u00fcretim verilerindeki kal\u0131plar\u0131 ve sapmalar\u0131 tan\u0131yacak \u015fekilde e\u011fitilerek ayk\u0131r\u0131 de\u011ferleri tespit etmelerine olanak sa\u011flanabilir. Bu, kasa imalat s\u00fcrecindeki potansiyel kusurlar\u0131 veya d\u00fczensizlikleri g\u00f6sterebilecektir. Bu algoritmalar, ge\u00e7mi\u015f verileri analiz ederek ve ge\u00e7mi\u015fteki anormalliklerden \u00f6\u011frenerek, ger\u00e7ek zamanl\u0131 \u00fcretim ortamlar\u0131nda ayk\u0131r\u0131 de\u011ferleri tespit etmedeki do\u011fruluklar\u0131n\u0131 ve verimliliklerini art\u0131rabilir.<\/p>\n<p>Ayr\u0131ca, sens\u00f6r teknolojilerinin ve Nesnelerin \u0130nterneti (IoT) cihazlar\u0131n\u0131n petrol mahfazas\u0131 \u00fcretim tesislerine entegrasyonu anormallik tespit yeteneklerinde devrim yaratt\u0131. Bu sens\u00f6rler, \u00fcretim s\u00fcreci s\u0131ras\u0131nda s\u0131cakl\u0131k, bas\u0131n\u00e7 ve titre\u015fim seviyeleri gibi \u00e7e\u015fitli parametreleri s\u00fcrekli olarak izleyebilir ve anormallikleri ortaya \u00e7\u0131kt\u0131k\u00e7a tespit etmek i\u00e7in analiz edilebilecek ger\u00e7ek zamanl\u0131 veriler sa\u011flayabilir.<\/p>\n<div class=\"entry-content-asset videofit\"><iframe loading=\"lazy\" title=\"casing pipe Chinese best supplier,casing pipe Chinese good manufacturer,casing pipe China high-grade\" width=\"720\" height=\"405\" src=\"https:\/\/www.youtube.com\/embed\/SPZwxLw3uB8?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<p>Veri analiti\u011fi ve sens\u00f6r teknolojilerine ek olarak, kestirimci bak\u0131m stratejilerinin uygulanmas\u0131, petrol mahfazas\u0131 \u00fcretiminde ayk\u0131r\u0131 de\u011ferlerin belirlenmesini de geli\u015ftirebilir. \u00dcretim tesisleri, tahmine dayal\u0131 bak\u0131m algoritmalar\u0131ndan yararlanarak olas\u0131 ekipman ar\u0131zalar\u0131n\u0131 veya anormallikleri meydana gelmeden \u00f6nce tahmin edebilir, bu da maliyetli aksama s\u00fcrelerini ve \u00fcretim gecikmelerini \u00f6nlemek i\u00e7in proaktif bak\u0131m m\u00fcdahalelerine olanak tan\u0131r.<\/p>\n<p>Veri bilimcileri, m\u00fchendisler ve \u00fcretim uzmanlar\u0131 aras\u0131ndaki i\u015fbirlik\u00e7i \u00e7abalar, geli\u015ftirme ve geli\u015ftirmede esast\u0131r. Petrol mahfazas\u0131 \u00fcretiminde ayk\u0131r\u0131 de\u011ferlerin belirlenmesi i\u00e7in geli\u015fmi\u015f stratejilerin uygulanmas\u0131. \u00c7ok disiplinli ekipler, alan bilgisini veri analiti\u011fi uzmanl\u0131\u011f\u0131yla birle\u015ftirerek, petrol ve gaz end\u00fcstrisinin benzersiz zorluklar\u0131n\u0131 ele almak i\u00e7in \u00f6zel olarak tasarlanm\u0131\u015f \u00f6zel anormallik alg\u0131lama \u00e7\u00f6z\u00fcmleri olu\u015fturabilir.<\/p>\n<p>Anormallik alg\u0131lama algoritmalar\u0131n\u0131n s\u00fcrekli izlenmesi ve optimizasyonu, etkinli\u011fin sa\u011flanmas\u0131 ve Petrol mahfazas\u0131 \u00fcretiminde ayk\u0131r\u0131 de\u011fer tan\u0131mlaman\u0131n g\u00fcvenilirli\u011fi. \u00dcretim verilerinden ve operasyonel i\u00e7g\u00f6r\u00fclerden elde edilen geri bildirimlere dayal\u0131 olarak algoritmalarda yap\u0131lan d\u00fczenli g\u00fcncellemeler ve iyile\u015ftirmeler, zaman i\u00e7inde anormallik tespit sistemlerinin do\u011frulu\u011funun ve verimlili\u011finin art\u0131r\u0131lmas\u0131na yard\u0131mc\u0131 olabilir.<\/p>\n<p>Sonu\u00e7 olarak, petrol mahfazas\u0131 \u00fcretiminde anormallik tespitinin y\u00fckseltilmesi, operasyonel verimlili\u011fin art\u0131r\u0131lmas\u0131 ve \u00fcr\u00fcn kalitesi ve sondaj operasyonlar\u0131nda g\u00fcvenli\u011fin art\u0131r\u0131lmas\u0131. \u00dcretim tesisleri, geli\u015fmi\u015f veri analiti\u011fini, sens\u00f6r teknolojilerini ve tahmine dayal\u0131 bak\u0131m stratejilerini kullanarak ayk\u0131r\u0131 de\u011ferleri tan\u0131mlama yeteneklerini geli\u015ftirebilir ve \u00fcretim s\u00fcrecindeki anormalliklerle ili\u015fkili potansiyel riskleri azaltabilir. \u0130\u015fbirlik\u00e7i \u00e7abalar ve s\u00fcrekli optimizasyon, petrol mahfazas\u0131 \u00fcretim s\u00fcre\u00e7lerinde ayk\u0131r\u0131 de\u011ferlerin belirlenmesine y\u00f6nelik geli\u015fmi\u015f stratejilerin ba\u015far\u0131l\u0131 bir \u015fekilde uygulanmas\u0131n\u0131n anahtar\u0131d\u0131r.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ya\u011f Muhafazas\u0131 \u00dcretim Anormalli\u011fi Tespitini \u0130yile\u015ftirmeye Y\u00f6nelik Geli\u015fmi\u015f Teknikler Petrol mahfazas\u0131 \u00fcretimi, petrol ve gaz end\u00fcstrisinde, petrol kuyular\u0131n\u0131n b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc ve verimlili\u011fini sa\u011flayan \u00e7ok \u00f6nemli bir rol oynar. Teknoloji ilerledik\u00e7e, petrol&#8230;<\/p>\n","protected":false},"author":1,"featured_media":1461,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_kadence_starter_templates_imported_post":false,"_kad_post_transparent":"default","_kad_post_title":"default","_kad_post_layout":"default","_kad_post_sidebar_id":"","_kad_post_content_style":"default","_kad_post_vertical_padding":"default","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"footnotes":""},"categories":[1],"tags":[586,1315,82,2279,580,1655,2289,83,81],"translation":{"provider":"WPGlobus","version":"2.12.0","language":"tr","enabled_languages":["en","ar","zh","nl","fr","de","hi","id","it","ja","ko","pt","ru","es","th","tr","vi"],"languages":{"en":{"title":true,"content":true,"excerpt":false},"ar":{"title":true,"content":true,"excerpt":false},"zh":{"title":true,"content":true,"excerpt":false},"nl":{"title":true,"content":true,"excerpt":false},"fr":{"title":true,"content":true,"excerpt":false},"de":{"title":true,"content":true,"excerpt":false},"hi":{"title":true,"content":true,"excerpt":false},"id":{"title":true,"content":true,"excerpt":false},"it":{"title":true,"content":true,"excerpt":false},"ja":{"title":true,"content":true,"excerpt":false},"ko":{"title":true,"content":true,"excerpt":false},"pt":{"title":true,"content":true,"excerpt":false},"ru":{"title":true,"content":true,"excerpt":false},"es":{"title":true,"content":true,"excerpt":false},"th":{"title":true,"content":true,"excerpt":false},"tr":{"title":true,"content":true,"excerpt":false},"vi":{"title":true,"content":true,"excerpt":false}}},"_links":{"self":[{"href":"https:\/\/petroleumtubes.com\/tr\/wp-json\/wp\/v2\/posts\/16834"}],"collection":[{"href":"https:\/\/petroleumtubes.com\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/petroleumtubes.com\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/petroleumtubes.com\/tr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/petroleumtubes.com\/tr\/wp-json\/wp\/v2\/comments?post=16834"}],"version-history":[{"count":0,"href":"https:\/\/petroleumtubes.com\/tr\/wp-json\/wp\/v2\/posts\/16834\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/petroleumtubes.com\/tr\/wp-json\/wp\/v2\/media\/1461"}],"wp:attachment":[{"href":"https:\/\/petroleumtubes.com\/tr\/wp-json\/wp\/v2\/media?parent=16834"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/petroleumtubes.com\/tr\/wp-json\/wp\/v2\/categories?post=16834"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/petroleumtubes.com\/tr\/wp-json\/wp\/v2\/tags?post=16834"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}