“Rate of Penetration Optimization using Moving Horizon Estimation”
Authors: Dan Sui and Bernt Sigve Aadnøy,Affiliation: University of Stavanger
Reference: 2016, Vol 37, No 3, pp. 149-158.
Keywords: Moving horizon estimation, drilling optimization, rate of penetration
Abstract: Increase of drilling safety and reduction of drilling operation costs, especially improvement of drilling efficiency, are two important considerations in the oil and gas industry. The rate of penetration (ROP, alternatively called as drilling speed) is a critical drilling parameter to evaluate and improve drilling safety and efficiency. ROP estimation has an important role in drilling optimization as well as interpretation of all stages of the well life cycle. In this paper, we use a moving horizon estimation (MHE) method to estimate ROP as well as other drilling parameters. In the MHE formulation the states are estimated by a forward simulation with a pre-estimating observer. Moreover, it considers the constraints of states/outputs in the MHE problem. It is shown that the estimation error is with input-to-state stability. Furthermore, the ROP optimization (to achieve minimum drilling cost/drilling energy) concerning with the efficient hole cleaning condition and downhole environmental stability is presented. The performance of the methodology is demonstrated by one case study.
PDF (394 Kb) DOI: 10.4173/mic.2016.3.1
DOI forward links to this article:
[1] Chao Gan, Weihua Cao, Min Wu, Kang-Zhi Liu, Xin Chen, Yule Hu and Fulong Ning (2019), doi:10.1016/j.asoc.2019.04.020 |
[2] Suranga C.H. Geekiyanage, Erik A. Loeken and Dan Sui (2019), doi:10.1016/j.petrol.2019.106834 |
[3] Lei Zou, Zidong Wang, Jun Hu and Qing-Long Han (2020), doi:10.1016/j.inffus.2020.01.009 |
[4] Runa Linn Egeland, Astrid Lescoeur, Martin Olsen, Mayuran Vasantharajan, Sigve Hovda and Alexey Pavlov (2018), doi:10.1109/CCTA.2018.8511506 |
[5] Chao Gan, Wei-Hua Cao, Kang-Zhi Liu, Min Wu, Fa-Wen Wang and Suo-Bang Zhang (2020), doi:10.1109/TII.2019.2943165 |
[6] Ammar M. Alali, Mahmoud F. Abughaban and Beshir M. Aman (2020), doi:10.1016/j.petrol.2020.108075 |
[7] Magnus Nystad, Bernt Sigve Aadnoy and Alexey Pavlov (2021), doi:10.3390/en14051298 |
[8] Magnus Nystad, Bernt Sigve Aadnoy and Alexey Pavlov (2022), doi:10.1115/1.4053127 |
[9] Chao Gan, Wei-Hua Cao, Kang-Zhi Liu and Min Wu (2022), doi:10.1016/j.jprocont.2021.12.002 |
[10] Chao Gan, Xiang Wang, Lu-Zhao Wang, Wei-Hua Cao, Kang-Zhi Liu, Hui Gao and Min Wu (2023), doi:10.1016/j.geoen.2023.212187 |
[11] Hu Yin, Xiuwen Zhao and Qian Li (2024), doi:10.1016/j.engappai.2024.108281 |
[12] Xiao Wu, Xuzhi Lai, Jie Hu, Chengda Lu and Min Wu (2024), doi:10.1109/TIM.2024.3428650 |
[1] Rheology and Hydraulics of Oil - Well Drilling Fluids. (2006). Rheology and Hydraulics of Oil - Well Drilling Fluids, 2006. .
[2] Aadnoy, B.S. (2010). Aadnoy, B, S. Modern well design-second edition. CRC Press, Taylor and Francis Group, London, UK. ISBN 978-0-415-88467-9. .
[3] Beck, F.E., Arco, A., Powell, J.W., and Zamora, M. (1995). Beck, F, E., Arco, A., Powell, J.W., and Zamora, M. The effect of rheology on rate of penetration. In SPE/IADC Drilling Conference, 28 February-2 March, Amsterdam, Netherlands. 1995. doi:10.2118/29368-MS
[4] Bourgoyne, A.T., Keith, K.M., Chenevert, M.E., and Yong, F.S. (1984). Bourgoyne, A, T., Keith, K.M., Chenevert, M.E., and Yong, F.S. Applied Drilling Engineering. SPE Textbook series.. .
[5] Bourgoyne, A.T. and Yong, F.S. (1974). Bourgoyne, A, T. and Yong, F.S. A multiple regression approach to optimal drilling and abnormal pressure detection. Soc. Pet. Eng. J.. doi:10.2118/4238-PA
[6] Boyd, S.P., Ghaoui, L.E., Feron, E., and Balakrishnan, V. (1998). Boyd, S, P., Ghaoui, L.E., Feron, E., and Balakrishnan, V. Linear matrix inequalities in system and control theory. SIAM. doi:10.1137/1.9781611970777
[7] Ranjbar, R. (2010). Ranjbar, R, Cuttings transport in inclined and horizontal wellbore. Master thesis of University of Stavanger. .
[8] RudiRubiandini, R.S. (1999). RudiRubiandini, R, S. Equation for estimating mud minimum rate for cuttings transport in an inclined-until horizontal well. In SPE/IADC Middle East Drilling Technology Conference. 1999. doi:10.2118/57541-MS
[9] Rupert, J.P., Prado, C.W., and Blatted, S.R. (1981). Rupert, J, P., Prado, C.W., and Blatted, S.R. The effect of weight material type and mud formulation on penetration rate using invert oil system. In SPE Annual Technical Conference and Exhibition, 4-7 October, San Antonio, Texas. 1981. doi:10.2118/10102-MS
[10] Sui, D. and Johansen, T.A. (2014). Sui, D, and Johansen, T.A. Linear constrained moving horizon estimator with pre-estimating observer. Systems and Control Letters. 67:40--45. doi:10.1016/j.sysconle.2014.02.003
[11] Teale, R. (1965). Teale, R, The concept of specific energy in rock drilling. International Journal of Rock Mechanics and Mining Sciences and Geomechanics Abstracts. doi:10.1016/0148-9062(65)90022-7
[12] Warren, T.M. (1987). Warren, T, M. Penetration rate performance of roller cone bits. In SPE Drilling Engineering, SPE-13259-PA. 1987. doi:10.2118/13259-PA
BibTeX:
@article{MIC-2016-3-1,
title={{Rate of Penetration Optimization using Moving Horizon Estimation}},
author={Sui, Dan and Aadnøy, Bernt Sigve},
journal={Modeling, Identification and Control},
volume={37},
number={3},
pages={149--158},
year={2016},
doi={10.4173/mic.2016.3.1},
publisher={Norwegian Society of Automatic Control}
};