Prediction of Oilfield-Increased Production Using Adaptive Neurofuzzy Inference System with Smoothing Treatment

المؤلفون المشاركون

Chen, Lin
Ma, Nannan
Wang, Yi
Liu, Zhi-bin

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-11، 11ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2019-12-19

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

هندسة مدنية

الملخص EN

A novel modified adaptive neurofuzzy inference system with smoothing treatment (MANFIS) is proposed.

The MANFIS model considered the smoothing treatment of initial data basing on the adaptive neurofuzzy inference system, and we used it to predict oilfield-increased production under the well stimulation.

Numerical experiments show the prediction result of the novel considering smoothing treatment is better than that without smoothing treatment.

This study provides a novel and feasible method for prediction of oilfield-increased production under well stimulation, and it can be helpful in the further study of oilfield development measure planning.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Chen, Lin& Liu, Zhi-bin& Ma, Nannan& Wang, Yi. 2019. Prediction of Oilfield-Increased Production Using Adaptive Neurofuzzy Inference System with Smoothing Treatment. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1195812

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Chen, Lin…[et al.]. Prediction of Oilfield-Increased Production Using Adaptive Neurofuzzy Inference System with Smoothing Treatment. Mathematical Problems in Engineering No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1195812

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Chen, Lin& Liu, Zhi-bin& Ma, Nannan& Wang, Yi. Prediction of Oilfield-Increased Production Using Adaptive Neurofuzzy Inference System with Smoothing Treatment. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1195812

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1195812