Signal Feature Extraction and Quantitative Evaluation of Metal Magnetic Memory Testing for Oil Well Casing Based on Data Preprocessing Technique
المؤلفون المشاركون
Zhang, Jun
Liu, Zhilin
Liu, Lutao
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-06-23
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Metal magnetic memory (MMM) technique is an effective method to achieve the detection of stress concentration (SC) zone for oil well casing.
It can provide an early diagnosis of microdamages for preventive protection.
MMM is a natural space domain signal which is weak and vulnerable to noise interference.
So, it is difficult to achieve effective feature extraction of MMM signal especially under the hostile subsurface environment of high temperature, high pressure, high humidity, and multiple interfering sources.
In this paper, a method of median filter preprocessing based on data preprocessing technique is proposed to eliminate the outliers point of MMM.
And, based on wavelet transform (WT), the adaptive wavelet denoising method and data smoothing arithmetic are applied in testing the system of MMM.
By using data preprocessing technique, the data are reserved and the noises of the signal are reduced.
Therefore, the correct localization of SC zone can be achieved.
In the meantime, characteristic parameters in new diagnostic approach are put forward to ensure the reliable determination of casing danger level through least squares support vector machine (LS-SVM) and nonlinear quantitative mapping relationship.
The effectiveness and feasibility of this method are verified through experiments.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Zhilin& Liu, Lutao& Zhang, Jun. 2014. Signal Feature Extraction and Quantitative Evaluation of Metal Magnetic Memory Testing for Oil Well Casing Based on Data Preprocessing Technique. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1015025
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Zhilin…[et al.]. Signal Feature Extraction and Quantitative Evaluation of Metal Magnetic Memory Testing for Oil Well Casing Based on Data Preprocessing Technique. Abstract and Applied Analysis No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1015025
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Zhilin& Liu, Lutao& Zhang, Jun. Signal Feature Extraction and Quantitative Evaluation of Metal Magnetic Memory Testing for Oil Well Casing Based on Data Preprocessing Technique. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1015025
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1015025
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر