How to organise mud logging data for modelling rate of penetration

Hong Xu, Martyn Fear, Oliver Whelehan, John Ford, Jerry Jensen

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    Rate of Penetration (ROP) modelling can provide a quantitative tool to reduce drilling costs by means of bit selection and determining the optimal combination of mechanical and hydraulic operating parameters. This paper examines the nature of logging data and describes the relationships between ROP and its related variables. An approach for improving ROP modelling using field data is proposed. As a result, a number of emperical ROP models have been developed using routinely available mud and wireline logging data. The validity and robustness of the new approach are demonstrated by applying it to the logging data from three Poly-crystalline diamond compact (PDC) bit runs in the North Sea area.

    Original languageEnglish
    Title of host publicationProceedings of the Asia Pacific Oil and Gas Conference
    Pages31-38
    Number of pages8
    Publication statusPublished - 1995
    EventSPE - Asia Pacific Oil and Gas Conference - Kuala Lumpur, Malaysia
    Duration: 20 Mar 199522 Mar 1995

    Conference

    ConferenceSPE - Asia Pacific Oil and Gas Conference
    Country/TerritoryMalaysia
    CityKuala Lumpur
    Period20/03/9522/03/95

    Fingerprint

    Dive into the research topics of 'How to organise mud logging data for modelling rate of penetration'. Together they form a unique fingerprint.

    Cite this