في صناعة النفط والغاز، حيث الأمان والكفاءة من أهم الأولويات، يقف متوسط العملية (PA) كمقياس حاسم لقياس ومراقبة جودة المنتج. يمثل متوسط عدد العيوب أو الوحدات المعيبة لكل مائة وحدة من المنتج التي يقدمها المورد للفحص الأولي.
فيما يلي شرح لـ PA:
PA = (عدد الوحدات المعيبة / إجمالي عدد الوحدات التي تم فحصها) × 100
مثال: يقدم المورد 1000 وحدة من مكون معين. عند الفحص، تم العثور على 15 وحدة معيبة. ستكون PA:
PA = (15/1000) × 100 = 1.5%
يشير هذا إلى أن 1.5٪ من الوحدات الموردة كانت معيبة.
PA في العمل:
الاستنتاج:
متوسط العملية هو أداة قوية للحفاظ على معايير الجودة العالية في صناعة النفط والغاز. من خلال تتبع PA وإدارته بشكل فعال، يمكن للشركات تخفيف المخاطر وتحسين الكفاءة وضمان التشغيل الآمن والموثوق به للبنية التحتية الحيوية. يسلط هذا المقياس الضوء على أهمية الشراكات التعاونية بين شركات النفط والغاز ومورديها، والعمل معًا لتحسين الجودة باستمرار وضمان النمو المستدام للصناعة.
Instructions: Choose the best answer for each question.
1. What does Process Average (PA) measure in the oil and gas industry? a) The average cost of producing a unit of oil or gas. b) The average number of defects per hundred units of product inspected. c) The average time it takes to complete a production process. d) The average amount of oil or gas extracted per day.
The correct answer is **b) The average number of defects per hundred units of product inspected.**
2. Why is Process Average a crucial indicator for oil and gas companies? a) It helps determine the amount of profit generated from oil and gas sales. b) It indicates the effectiveness of marketing campaigns for oil and gas products. c) It helps identify potential quality issues, negotiate with suppliers, and improve quality. d) It helps predict future oil and gas prices.
The correct answer is **c) It helps identify potential quality issues, negotiate with suppliers, and improve quality.**
3. How is Process Average calculated? a) (Number of Defective Units / Total Number of Units Inspected) x 100 b) (Total Number of Units Inspected / Number of Defective Units) x 100 c) (Number of Defective Units / Number of Defective Units + Total Number of Units Inspected) x 100 d) (Total Number of Units Inspected - Number of Defective Units) x 100
The correct answer is **a) (Number of Defective Units / Total Number of Units Inspected) x 100**
4. What does a high Process Average (PA) indicate? a) The supplier's manufacturing process is producing consistently high-quality products. b) The supplier is using advanced technology and equipment. c) There are likely problems with the supplier's manufacturing processes. d) The supplier is offering a competitive price for their products.
The correct answer is **c) There are likely problems with the supplier's manufacturing processes.**
5. Which of the following is NOT a practical application of Process Average in the oil and gas industry? a) Assessing the quality of welding procedures for pipeline construction. b) Monitoring the quality of components in drilling equipment. c) Measuring the efficiency of oil and gas extraction methods. d) Monitoring the quality of valves and pumps in processing plants.
The correct answer is **c) Measuring the efficiency of oil and gas extraction methods.**
Problem: A supplier delivers 500 units of a specific valve for use in an oil processing plant. Upon inspection, 10 valves are found defective. Calculate the Process Average (PA) for this delivery.
PA = (Number of Defective Units / Total Number of Units Inspected) x 100
PA = (10 / 500) x 100
PA = 2%
Therefore, the Process Average for this delivery is 2%. This means that 2% of the valves supplied were defective.
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