شماره ركورد كنفرانس
2953
عنوان مقاله
Correction of Drill-off Test Error Using Artificial Neural Network and Mechanical Specific Energy
عنوان به زبان ديگر
Correction of Drill-off Test Error Using Artificial Neural Network and Mechanical Specific Energy
پديدآورندگان
Yavari Hossein نويسنده , Fazaelizadeh Mohammad نويسنده , Khosravanian Rasool نويسنده , Hassani Vahab نويسنده
تعداد صفحه
1
كليدواژه
Rate of Penetration , Artificial neural network , CCS , Weight on Bit , mechanical efficiency , Mechanical Specific Energy
سال انتشار
1395
عنوان كنفرانس
دومين كنفرانس ملي ژئومكانيك نفت : كاهش مخاطرات اكتشاف و توليد
زبان مدرك
فارسی
چكيده لاتين
Drill-off test is used to determine the optimum WOB and RPM during drilling. In this test the WOB that gives the highest ROP is considered as the optimal value. In 1991, Bourgoyne et.al introduced the maximum rate of penetration point as a non-optimal point because at this point available hydraulic cant clean underneath the bit and the bit crushes cuttings from previous step for another time, causing over wearing of the bit, bit balling and vibrations. The point that has the minimum MSE and maximum mechanical efficiency is the optimal point. This point is called founder point
شماره مدرك كنفرانس
4411868
سال انتشار
1395
از صفحه
1
تا صفحه
1
سال انتشار
1395
لينک به اين مدرک