Bottomhole Pressure (BHP) determination is quite crucial in the success of the drilling operations, especially on tight-drilling window environment. The calculation becomes much more critical when drilling with near-balance bottomhole pressure on the unconventional drilling techniques like Managed Pressure Drilling (MPD). Although Pressure-While-Drilling (PWD) technology can provide measured values of Bottomhole Pressure, it is so expensive and needs circulation to convey readings. Also, in case of tool failure, it consumes a lot of time to trip out of hole in order to change the tool, especially on deep-well drilling. On this paper, Bingham, Power-Law, Herschel-Bulkley and API RP13D rheological models have been utilized to calculate the Annular Pressure Loss (APL) on a deep well with polymer Water-Base Mud (WBM). A comparative study between model-calculated and PWD-measured values of APL for 15 points along the wellbore was conducted on the calculation of Annular Pressure Loss. Power-Law model was found the most optimum rheological model for polymer Water-Base Mud, due to exhibiting no Yield Stress. Power-law model gave 35 psi average error which can be tolerated most of the time during drilling operations.
Kheir, G., El Gibaly, A., & Farahat, M. (2018). Annular Pressure Losses Prediction Using Power-Law Model with Polymer Water-Base Mud. Journal of Petroleum and Mining Engineering, 20(1), 58-65. doi: 10.21608/jpme.2018.38799
MLA
George Kheir; Ahmed El Gibaly; Mohamed Farahat. "Annular Pressure Losses Prediction Using Power-Law Model with Polymer Water-Base Mud", Journal of Petroleum and Mining Engineering, 20, 1, 2018, 58-65. doi: 10.21608/jpme.2018.38799
HARVARD
Kheir, G., El Gibaly, A., Farahat, M. (2018). 'Annular Pressure Losses Prediction Using Power-Law Model with Polymer Water-Base Mud', Journal of Petroleum and Mining Engineering, 20(1), pp. 58-65. doi: 10.21608/jpme.2018.38799
VANCOUVER
Kheir, G., El Gibaly, A., Farahat, M. Annular Pressure Losses Prediction Using Power-Law Model with Polymer Water-Base Mud. Journal of Petroleum and Mining Engineering, 2018; 20(1): 58-65. doi: 10.21608/jpme.2018.38799