METHOD FOR DETECTING BOREHOLE CAVING BASED ON CUTTINGS AND ELEMENTS LOGGING DATA

    公开(公告)号:US20240044247A1

    公开(公告)日:2024-02-08

    申请号:US17881648

    申请日:2022-08-05

    CPC classification number: E21B49/005 E21B2200/20 E21B2200/22

    Abstract: A method for detecting a borehole caving based on cuttings and elements logging data includes: integrating real-time elements logging data and real-time cuttings return data of a target well, and historical elements logging data and stratum evaluation data of an adjacent well; calculating a root mean square deviation (RMSD) Δ of a relative content of each element of the target well and the adjacent well and a real-time cuttings return ratio; setting a threshold λ of the RMSD Δ of the relative content of each element and a threshold range (a,b) of the real-time cuttings return ratio; and establishing an intelligent stratum identification model based on a support vector machine (SVM) for real-time determination of a horizon from which current cuttings are returned. The method can achieve effective borehole caving detection, such that on-site personnel can deal with borehole caving in time and prevent it from developing into a complicated drilling accident.

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