تصویر Nima Sharifi Rayeni
پروفایل پژوهشگر

Nima Sharifi Rayeni

۱مقاله
۰کنفرانس

مقالات Nima Sharifi Rayeni

مقاله کنفرانسی سال ۱۳۹۹ ۵۵۱ مشاهده

Application of multi-output least-squares support vector machines (MLS-SVM) for classification of oil reservoirs from well testing signals

Analysis of well testing signals is a widely used technique for characterizing the hydrocarbon reservoir…

MLS-SVMWell testing signalpressure derivative plots