تقييم الخصائص البتروفيزيائية لمكمن المشرف في جنوب العراق عبر الذكاء الاصطناعي لتعزيز حساب النفاذية
محتوى المقالة الرئيسي
الملخص
ُعَدُّ التفسير الدقيق للخصائص البتروفيزيائية عاملاً أساسياً في تحسين عمليات استكشاف الهيدروكربونات والتخطيط لعمليات للإنتاج. تهدف هذه الدراسة إلى إجراء تحليل بتروفيزيائي شامل لتكوين المشرف في حقل بُزركان النفطي، وذلك من خلال استعمال كل من أساليب التفسير البتروفيزيائي التقليدية مع تقنيات الذكاء الاصطناعي. (AI) تم استخدام سجلات الآبار، بما في ذلك gamma ray، density، neutron، sonic، resistivity جنبًا إلى جنب مع قياسات اللباب الصخري، لتحديد خصائص المكمن، مثل التكوين الصخري، حجمshall، والمسامية، والنفاذية، وتشبع المياه، وبالتالي يمكن تقدير نسبة العمق المنتج. أظهرت طرق التقليدية للتنبؤ بالنفاذية، لا سيما العلاقات بين نفاذية اللباب ومسامية تشتتًا كبيرًا بسبب الطبيعة غير المتجانسة للمكمن. للحصول على دقة أعلى في التنبؤ بنفاذية الصخور، تم دمج كل من طريقة الوحدات الهيدروليكية (HFU) مع نموذج الذكاء الاصطناعي Bootstrap Forest، مما أدى إلى تحسين دقة تقدير النفاذية بشكل واضح. اوضحت النتائج أن طبقة MB21 هي منطقة الإنتاج الرئيسية، حيث تتميز بتشبع هيدروكربوني مرتفع ومسامية عالية. يعد استعمال كل من تقنيات البتروفيزيائي ونموذج التنبؤ بالنفاذية القائم على الذكاء الاصطناعي اساساُ قويًا لتوصف المكامن. تؤكد هذه النتائج على الدور الفعال للأساليب الحسابية المتقدمة في تقييم الطبقات تحت سطح الارض، مما يساعد على تقليل عدم الدقة في النتائج المرتبطة بالمكامن المعقدة.
تفاصيل المقالة
القسم
كيفية الاقتباس
المراجع
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