【摘要】 海上钻井作业环境恶劣,作业风险和费用高,如何提高钻井效率、降低钻井成本一直是倍受关注的问题。基于极限学习机,建立了海上钻井机械钻速预测模型,并以南海YL8-3-1井为例进行了验证与钻井参数实时优化。结果表明,基于极限学习机的海上钻井机械钻速预测模型预测结果与实测结果较为吻合,可以对机械钻速进行实时监测并通过优化钻井参数实现钻井事故预警及有效预防,进而提高钻井效率。本文研究可对海上安全高效钻井作业及油田数字化、智能化发展提供借鉴。更多还原

【Abstract】 Offshore drilling is subject to bad environmental and high risks and cost. How to improve the drilling efficiency and reduce drilling cost has always been a difficulty in offshore drilling. Based on the extreme learning machine, the prediction model of offshore drilling ROP has been established and verified on Well YL8-3-1 in the South China Sea. The results show that the prediction results of this mode are in good agreement with the measured results. Therefore, it is able to conduct the real-time monitoring of ROP and optimize the drilling parameters, and realize the drilling accident precaution and effective prevention, thus improving the drilling efficiency. This study can provide references for the safe and efficient offshore drilling as well as the digital and intelligent development of oilfields.更多还原