الشبكة العصبية للتنبؤ بالمسامية في تكوين الكربونات: دراسة حالة لجنوب العراق
DOI:
https://doi.org/10.52716/jprs.v13i3.697الكلمات المفتاحية:
تخمين المسامية.حقل الفيحاء النفطي.تكوين اليمامة.الشبكات العصبية.الملخص
تقدم هذه الدراسة تطبيق شبكة عصبية متكررة من التسلسل إلى التسلسل (Seq2Seq) لتقدير بيانات سجل المسامية من خلال الاستفادة من المعلومات من السجلات الأخرى. تم توضيح فعالية هذه التقنية في محاكاة المسامية للخزانات غير المتجانسة من خلال استخدام البيانات من تكوين اليمامة في حقل الفيحاء للنفط في جنوب العراق. تم استخدام أربعة آبار في الحقل للتدريب والتقييم، حيث تضمنت بيانات الإدخال سجلات الكثافة والنيوترون وأشعة جاما والمسامية. تم تقييم أداء النموذج باستخدام النسبة المئوية المطلقة، ومتوسطات الجذر التربيعي للأخطاء، وقورنت النتائج بالبيانات الفعلية، مما كشف عن وجود ارتباط معنوي. تؤسس هذه النتائج نموذج الشبكة العصبية المتكررة Seq2Seq كخيار أفضل للتنبؤ بمسامية الخزان من بيانات السجل الجيدة الأخرى. يمكن أن يكون لها آثار عملية في تقدير المسامية لحسابات البترول.
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