IJE TRANSACTIONS B: Applications Vol. 30, No. 11 (November 2017) 1800-1806   

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H. Wang, Z. -C. Guan, Y. -C. Shi, Y. -W. Liu and D. -Y. Liang
( Received: June 25, 2017 – Accepted in Revised Form: September 08, 2017 )

Abstract    The study of rotary steering drilling technology is currently one of the hot topics in the drilling engineering field. It requires accurate well trajectory control instructions when rotary steerable tools are applied to achieve the well trajectory control goal. A drilling trajectory prediction model will benefit this progress. According to the continuous beam theory, a mechanical model of push-the-bit rotary steerable bottom hole assembly (RSBHA) was established to characterize the bit steering property. The relation of bit lateral force and bit tilt angle with the influencing parameters such as borehole parameters and drilling operation parameters was obtained. Then further considering the bit cutting anisotropy, the drilling trajectory prediction model was built which quantitatively estimated the variation of inclination and azimuth angle. The model calculation result showed a consistency with the field experimental data proving the prediction model is reasonable in theory and feasible in engineering. This study could provide guidance for selecting the steering parameters to meet the control goal.


Keywords    Rotary Steering, Steering Force, Mechanical Properties, Bit Cutting Anisotropy, Drilling Tendency


چکیده    مطالعه تکنولوژی حفاری چرخشی در حال حاضر یکی از موضوعات داغ در زمینه مهندسی حفاری است. زمانی که هدف دستیابی به مسیر صحیح است ابزار چرخشی نیاز به دستورالعمل های مسیریابی دقیق دارد. یک مدل پیش بینی مسیر حفاری به این پیشرفت کمک خواهد کرد. با توجه به تئوری اشعه پیوسته، یک مدل مکانیکی (RSBHA) برای مشخص کردن ویژگی فرمان مته ایجاد شد. رابطه نیروی جانبی مته و زاویه شیب مته با پارامترهای تأثیرگذار مانند پارامترهای دیواره چاه و پارامترهای عملیات حفاری بدست آمد. سپس با توجه به ناهمسانگردی برش مته، مدل پیش بینی مسیر حفاری ساخته شد که تغییرات زاویه و جهت را به صورت کمی محاسبه می کرد. نتایج محاسبات مدل سازگاری خوبی با داده های تجربی میدانی داشت که نشان می دهد مدل پیش بینی کننده منطقی است و استفاده از آن در محاسبات مهندسی امکان پذیر است. این مطالعه می تواند راهنمای خوبی جهت تعیین پارامترهای فرماندهی برای دستیابی به هدف کنترل باشد.


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