Estimation of the Resistivity Index via Nuclear Magnetic Resonance Log Data Based on Fractal Theory
المؤلفون المشاركون
Han, Chuang
Feng, Cheng
Duan, Wenxing
Zhong, Yuntao
Feng, Ziyan
Zhang, Ning
Wang, Wei
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-12-22
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
The resistivity index is an important parameter for determining the rock saturation index.
However, the saturation index changes greatly in unconventional reservoirs, which leads to oil saturation estimation with great difficulty.
Hence, we try to establish the relationship between the resistivity index and log data.
Firstly, a novel model of estimating the resistivity index with T2 time was derived based on fractal theory, the relationship between nuclear magnetic resonance (NMR) T2 spectrum and capillary pressure curve (T2-Pc), and Archie formula.
It regards the logarithm of the resistivity index as the dependent variable, with T2 time and T2 time when water saturation is 100% as the independent variables.
Second, 17 cores were drilled, and T2 spectrum and the relationship between the resistivity index and water saturation (Ir-Sw) were jointly measured.
Next, the experimental results were substituted into the established model to get the model parameters via the multivariate statistics regression method.
Then, the experimental data engaged and not engaged in modeling were used to test the established model.
The average relative errors of estimated resistivity indices and experimental results are smaller than 8%, and those of the regressed saturation index are smaller than 5%.
Finally, the established model was applied in log data processing and interpretation with good effects.
It thus proves that the method of the estimating resistivity index with T2 time is reliable, which provides a novel solution for determining rock electrical parameter of unconventional reservoirs.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Feng, Cheng& Han, Chuang& Duan, Wenxing& Wang, Wei& Zhong, Yuntao& Feng, Ziyan…[et al.]. 2020. Estimation of the Resistivity Index via Nuclear Magnetic Resonance Log Data Based on Fractal Theory. Geofluids،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1166106
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Feng, Cheng…[et al.]. Estimation of the Resistivity Index via Nuclear Magnetic Resonance Log Data Based on Fractal Theory. Geofluids No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1166106
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Feng, Cheng& Han, Chuang& Duan, Wenxing& Wang, Wei& Zhong, Yuntao& Feng, Ziyan…[et al.]. Estimation of the Resistivity Index via Nuclear Magnetic Resonance Log Data Based on Fractal Theory. Geofluids. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1166106
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1166106
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