A Powerful Build-Up Rate (BUR) Prediction Method for the Static Push-the-Bit Rotary Steerable System (RSS)

Yucai Shi; Zhixiang Teng; Zhichuan Guan; Jing Bai; Wei Lv; Hualin Liao; Yuqiang Xu; Yongwang Liu

LAPSE:2023.26478

Published Article

LAPSE:2023.26478

A Powerful Build-Up Rate (BUR) Prediction Method for the Static Push-the-Bit Rotary Steerable System (RSS)

Yucai Shi, Zhixiang Teng, Zhichuan Guan, Jing Bai, Wei Lv, Hualin Liao, Yuqiang Xu, Yongwang Liu

April 3, 2023

Abstract
The RSS has been widely used in directional drilling. In order to enhance wellpath control accuracy and efficiency of the static push-the-bit RSS, a powerful BUR prediction method is reconstructed by coupling a rotary steerable bottom-hole assembly (RSBHA) mechanical model and a drill bit−rock interaction model. This article showed that when establishing the RSBHA mechanical model by using the continuous beam column method, the steering rib should be treated as an eccentric stabilizer to consider the contact effect between the steering rib and wellbore wall. For the beam column containing the flexible sub and between two stabilizers, it should be rearranged into three beam columns, and the lower and upper steps of the flexible sub should be considered as virtual supports. The equilibrium tendency method (ETM) to predict the BUR can enhance wellpath prediction accuracy than those of traditional methods. Under 3D conditions, the total drilling tendency angle should be denoted by inclination tendency angle and azimuth tendency angle to enhance the solution efficiency. Case analyses have verified that the average forecast error of the BUR prediction model in this article is less than 1°/30 m.

Record ID

LAPSE:2023.26478

Keywords

beam column theory, bottom-hole assembly (BHA), build-up rate (BUR) prediction, drill bit-rock interaction model, mechanical model, rotary steerable system (RSS), static push-the-bit

Subject

Process Control

Suggested Citation

Shi Y, Teng Z, Guan Z, Bai J, Lv W, Liao H, Xu Y, Liu Y. A Powerful Build-Up Rate (BUR) Prediction Method for the Static Push-the-Bit Rotary Steerable System (RSS). (2023). LAPSE:2023.26478

Author Affiliations

Shi Y: School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China; Key Laboratory of Unconventional Oil & Gas Development (China University of Petroleum-East China), Ministry of Education, Qingdao 266580, China [ORCID]
Teng Z: CNPC Tarim Oilfield Company, Korla 841000, China
Guan Z: School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China; Key Laboratory of Unconventional Oil & Gas Development (China University of Petroleum-East China), Ministry of Education, Qingdao 266580, China
Bai J: CNPC Chuanqing Drilling Co. Ltd., Guanghan 618300, China
Lv W: Aerospace Science and Industry Inertial Technology Co. Ltd., Beijing 100074, China
Liao H: School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China; Key Laboratory of Unconventional Oil & Gas Development (China University of Petroleum-East China), Ministry of Education, Qingdao 266580, China
Xu Y: School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China; Key Laboratory of Unconventional Oil & Gas Development (China University of Petroleum-East China), Ministry of Education, Qingdao 266580, China
Liu Y: School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China; Key Laboratory of Unconventional Oil & Gas Development (China University of Petroleum-East China), Ministry of Education, Qingdao 266580, China

Journal Name

Energies

Volume

13

Issue

18

Article Number

E4847

Year

2020

Publication Date

2020-09-16