سال انتشار: ۱۳۹۱

محل انتشار: اولین کنفرانس بین المللی نفت، گاز، پتروشیمی و نیروگاهی

تعداد صفحات: ۶

نویسنده(ها):

Vahid Mojarradi – Department of Petroleum Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
Mohammad Ranjbar – Energy and Environmental Research Center (EERC), Shahid Bahonar University of Kerman, Kerman, Iran

چکیده:

Horizontal directional drilling (HDD) is widely used in petroleum industry. In a variety of conditions it is necessary to predict the torque required forperforming the reaming operation (near surface), However, there is presently no appropriate and convenient method to accomplish these tasks.The objective of this study is to improve theprediction of the torque during drilling operations using adaptive Nero fuzzy interference systems(ANFIS) Although available information for drillingtechniques does provide some means of predicting the torque, it is not sufficient for meeting the presentneeds. In this study, adaptive Nero fuzzy interference systems (ANFI) is used to predict the value of torque in horizontal drilling based on operational field datathe parameters affecting on ANFIS changed to find optimum condition in prediction and finally better accurate prediction obtained, which is better than correlation which is presented to this aim before.