Prediction of Penetration Rate for PDC Bits Using Indices of Rock Drillability, Cuttings Removal, and Bit Wear

Mazen, AZ, Rahmanian, N, Mujtaba, I et al. (1 more author) (2021) Prediction of Penetration Rate for PDC Bits Using Indices of Rock Drillability, Cuttings Removal, and Bit Wear. SPE Drilling & Completion, 36 (02). pp. 320-337. ISSN 1930-0204

Abstract

Metadata

Authors/Creators:
Keywords: artificial intelligence, reservoir characterization, bit design, bit selection, drilling operation, wear index, drilling fluids and materials, upstream oil & gas, bit performance, rop
Dates:
  • Published: 16 June 2021
  • Accepted: 16 September 2020
  • Published (online): 30 November 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 03 Aug 2021 09:17
Last Modified: 03 Aug 2021 09:17
Status: Published
Publisher: Society of Petroleum Engineers (SPE)
Identification Number: https://doi.org/10.2118/204231-pa

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