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Estimation of rate of penetration considering mechanical, hydraulic, and formation characteristics for mishref formation
المؤلفون المشاركون
Abd al-Hadi, Hasan
Mnati, Kazim Hammud
المصدر
Journal of Petroleum Research and Studies
العدد
المجلد 2017، العدد 17 (31 ديسمبر/كانون الأول 2017)، ص ص. 20-38، 19ص.
الناشر
وزارة النفط مركز البحث و التطوير النفطي
تاريخ النشر
2017-12-31
دولة النشر
العراق
عدد الصفحات
19
التخصصات الرئيسية
الموضوعات
الملخص EN
This paper presents a detailed formulation of a rate of penetration (ROP) model, considering many drilling parameters and conditions for obtaining maximum drilling rate as well as minimizing the drilling cost.
A regression analysis technique has been usedfor ROP modeling in Mishref formation.
The data were extracted from routinely available mud and wirelinelogs.
These data includes weight on bit, rotary speed, horse per square inch, and transit time.
For ROP modeling, data of five wells inHalfaya oil field in south Iraq were extracted.
Statistical software called SPSS was used for improving the modeling data and to perform linear and nonlinear multiple regression analysis.
This improving approach included detection the outliers of modeling parameters, grouping the modeling data, moving average and finally applying the regression analysis.
Results of modeling showed that the grouping of modeling data exhibited good convergence with actual data and the overall model of oil field could producegood fitness with the actual data in both cases of linear and nonlinear models.
Also, a good estimation of drilling cost could be obtained when using this This paper presents a detailed formulation of a rate of penetration (ROP) model, considering many drilling parameters and conditions for obtaining maximum drilling rate as well as minimizing the drilling cost.
A regression analysis technique has been usedfor ROP modeling in Mishref formation.
The data were extracted from routinely available mud and wirelinelogs.
These data includes weight on bit, rotary speed, horse per square inch, and transit time.
For ROP modeling, data of five wells inHalfaya oil field in south Iraq were extracted.
Statistical software called SPSS was used for improving the modeling data and to perform linear and nonlinear multiple regression analysis.
This improving approach included detection the outliers of modeling parameters, grouping the modeling data, moving average and finally applying the regression analysis.
Results of modeling showed that the grouping of modeling data exhibited good convergence with actual data and the overall model of oil field could producegood fitness with the actual data in both cases of linear and nonlinear models.
Also, a good estimation of drilling cost could be obtained when using this model.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Mnati, Kazim Hammud& Abd al-Hadi, Hasan. 2017. Estimation of rate of penetration considering mechanical, hydraulic, and formation characteristics for mishref formation. Journal of Petroleum Research and Studies،Vol. 2017, no. 17, pp.20-38.
https://search.emarefa.net/detail/BIM-1201272
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Mnati, Kazim Hammud& Abd al-Hadi, Hasan. Estimation of rate of penetration considering mechanical, hydraulic, and formation characteristics for mishref formation. Journal of Petroleum Research and Studies No. 17 (2017), pp.20-38.
https://search.emarefa.net/detail/BIM-1201272
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Mnati, Kazim Hammud& Abd al-Hadi, Hasan. Estimation of rate of penetration considering mechanical, hydraulic, and formation characteristics for mishref formation. Journal of Petroleum Research and Studies. 2017. Vol. 2017, no. 17, pp.20-38.
https://search.emarefa.net/detail/BIM-1201272
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
-
رقم السجل
BIM-1201272
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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