The drilling industry is still plagued by challenges such as losses, packoff, hole-cleaning issues, and wellbore instability. Research and development using data from multiple sources have led to the development of an intelligent hole-cleaning answer product that can be used for a wellbore risk reduction service. The service would aim to optimize the rate of penetration through better understanding of hole cleaning. This digital solution that will enhance the well construction process by optimizing hole cleaning in real time. This solution is best delivered by using a combination of data and processes from multiple sources such as along-sting measurements (ASM), surface data, and downhole tools. There are several applications for this service such as land drilling, deepwater wells, horizontal wells, multilateral wells, highly deviated wells, and extended reach drilling. The service uses a combination of technologies previously only available as separate services. The service uses ASM sensors to optimize hole cleaning. Calibration of the cutting pressure profile with a real-time simulator using a multipoint pressure measurement along the string is provided. In addition to ASM sensors, the weight and volume of the cuttings are continuously recorded at the flow lines and compared to theoretical data. As a result, mud rheology, wiper trips, and drilling parameters can be optimized, and hole-cleaning best practices can be refined. Stuck pipe, cuttings bed buildups, and wellbore instability can be detected and mitigated against, enabling safer drilling and minimization of nonproductive time. This paper will showcase how this can be done and what visualizations can be shown. It is intended to give a peak at the solution developed.
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Chatar et al. (2024) studied this question.
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