TY  - CONF
AV  - none
TI  - Spotted hyena optimizer for well-profile energy optimization
ID  - scholars15098
KW  - Boreholes; Directional drilling; Infill drilling; Oil field equipment; Oil wells; Petroleum industry; Trajectories
KW  -  Curvature method; Design variables; Energy optimization; Operational parameters; Particle swarm optimization algorithm; Safety issues; State-of-art methods; Wellbore trajectory
KW  -  Particle swarm optimization (PSO)
N1  - cited By 3; Conference of 1st International Recent Trends in Technology, Engineering and Computing Conference, IRTTEC 2020 ; Conference Date: 30 September 2020; Conference Code:167781
N2  - In recent years, directional drilling becomes more popular in petroleum industry due to its more exposure to reservoir. During wellbore trajectory design for directional drilling, more importance should be given on safety issues. Well-profile energy is the key parameter which can assure a safe and efficient wellbore trajectory through proper optimization. In this work, the Spotted Hyena Optimizer (SHO) is proposed and implemented for optimizing the well-profile energy and compared with another state of art method named Particle Swarm Optimization (PSO) algorithm. The trajectory is mathematically formulated by using radius curvature method (RCM) considering 17 variables on which well-profile energy is depended. The SHO successfully obtained the optimum values of the 17 design variables which eventually given the minimum well-profile energy. The optimum well-profile energy obtained by SHO is 207.00 which is 18.28 better than PSO. Additionally, the sensitivity of the algorithm has been analysed by changing different operational parameter of SHO. It is observed that the efficiency of SHO increased with the increment in the number of search agents (hyenas). The minimum well-profile energy achieved through SHO ensure a less complex and safe wellbore trajectory. © Published under licence by IOP Publishing Ltd.
PB  - IOP Publishing Ltd
SN  - 17426588
Y1  - 2021///
VL  - 1793
A1  - Biswas, K.
A1  - Rahman, M.T.
A1  - Negash, B.M.
A1  - Askary, M.A.H.A.
A1  - Hai, T.B.
A1  - Kabir, S.S.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103121574&doi=10.1088%2f1742-6596%2f1793%2f1%2f012061&partnerID=40&md5=6ed8292ea55fd7606b064be1c488bbc3
ER  -