Estimation of Dulling Rate and Bit Tooth Wear Using Drilling Parameters and Rock Abrasiveness

Authors

  • Ahmed Z. Mazen University of Bradford
  • Nejat Rahmanian University of Bradford
  • Iqbal M. Mujtaba University of Bradford
  • Ali Hassanpour University of Leeds

DOI:

https://doi.org/10.37591/jopet.v9i3.3337

Keywords:

Rate of dulling, Bit wear, Mechanical specific energy, Rate of penetration,

Abstract

 

Optimisation of the drilling operations is becoming increasingly important as it can significantly reduce the oil well development cost. One of the major objectives in oil well drilling is to increase the penetration rate by selecting the optimum drilling bit based on offset wells data, and adjust the drilling factors to keep the bit in good condition during the operation. At the same time it is important to predict the bit wear and the time to pull out the bit out of hole to prevent fishing jobs. Numerous models have been suggested in the literature for predicting the time to pull the bit out to surface rather than predict or estimate the bit wear rate. Majority of the available models are largely empirical and can be applied for limited conditions, and do not include all the drilling parameters such as the formation abrasiveness and bit hydraulic. In this paper, a new approach is presented to improve the drill bit wear estimation that consists of a combination of both Bourgoyne and Young (BY) drilling rate model and theory of empirical relation for the effects of rotary speed (RPM), and weight on bit (WOB) on drilling arte (ROP) and rate of tooth wear. In addition to the drilling parameters, the formation abrasiveness and the effect of the jet impact force of the mud have also been accounted to estimate the bit wear. The proposed model enables estimation of the rock abrasiveness, and that lead to calculate the dynamic dulling rate of the bit while drilling that used in more accurate to assess the bit tooth wear compared with the mechanical specific energy (MSE). Then the estimated dulling rate at the depth of pulling out is used to determine the dull grade of the bit. The technique is validated in five wells located in two different oil fields in Libya. All studied wells in this showed a good agreement between the actual bit tooth wear and the estimated bit tooth wear.

Author Biographies

  • Ahmed Z. Mazen, University of Bradford

    Ahmed Z Mazen is currently a PhD student in the faculty of Engineering at University of Bradford. I received my Msc in Petroleum Engineering in 2008 from Heriot Watt University, UK. I have over 15 years’ working in the oil industry. I worked with Eni Gas in Libya as a Drilling and completion Engineer in both onshore and offshore, where my tasks were to prepare drilling programs, and involved in the detailed design of wells.

    Then I worked as a Drill Bits technical sales Engineer for Smith Bits and Varel International where my tasks were to provid technical and non-technical support to clients, and prepared and provided post run reports to clients, followed the drilling operation with clients and provided potential solutions to problems, ensured that the bits produced met customer’s needs., and improved drilling performance by designing drill bits, and recommending the right drilling parameters for different application.

  • Nejat Rahmanian, University of Bradford

    Nejat Rahmanian is currently a senior lecturer in Chemical Engineering at University of Bradford and MSc Program Leader. He has over 22 years’ experience in both academia and industry.  In industry, he worked with Petropars Ltd, an international oil and gas company for the development of the South Pars Gas Field.  He received his PhD in Chemical Engineering from the University of Leeds, UK . He also holds BSc and MSc in chemical engineering.  His  research is focused in oil/gas well drilling, energy, carbon capture and particle technology.  Dr Rahmanian teaches across the chemical engineering syllabus, supervises UG, PGT and PhD research projects.  He also serves as an executive committee member of particle technology special interest group and is the associate member of IChemE and a member of the Institute of Materials, Minerals and Mining (IOM3).

     

  • Iqbal M. Mujtaba, University of Bradford

     

    Iqbal M. Mujtaba is a Professor of Computational Process Engineering at the University of Bradford. He is a Fellow of the IChemE, a Chartered Chemical Engineer, and the Chair of the IChemE's Computer Aided Process Engineering Subject Group. He is currently Associate Editor for Asia Pacific Journal of Chemical Engineering and South African Journal and an Editorial Board Member of the journals Processes and Desalination. Professor Mujtaba leads research into dynamic modelling, simulation, optimisation and control of batch and continuous chemical processes, refinery processes, desalination, wastewater treatment and crude oil hydrotreating. He has managed several research collaborations and consultancy projects with industry and academic institutions in the UK, and other countries. He has published more than 2300 technical papers and has delivered more than 70 invited lectures/seminars/keynotes/short courses around the world. He has supervised 30 PhD students to completion and is currently supervising 10 PhD students.

     

  • Ali Hassanpour, University of Leeds

    Ali Hassanpour is an Associate Professor at the School of Chemical and Process Engineering, University of Leeds.  He is the leader of chemical engineering teaching programmes at Leeds and also serves as an executive committee member for particle technology special interest group of IChemE, UK. Ali's research has mainly focused on modelling and experimental work in various areas of particle science and engineering. This includes modelling particulate behaviours using discrete element method (DEM) and particle-fluid interactions in turbulent flows using combined continuum (CFD) and DEM. His research is mainly supported by the Innovate UK, EPSRC, EU and major industries.

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Published

2019-11-06

Issue

Vol. 9 No. 3 (2019)

Section

Articles