Real-time formation drillability sensing-based hybrid online prediction method for the rate of penetration (ROP) and its industrial application for drilling processes

IF 5.4 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Control Engineering Practice Pub Date : 2025-07-15 DOI:10.1016/j.conengprac.2025.106487

Chao Gan , Yao Wang , Wei-Hua Cao , Kang-Zhi Liu , Min Wu

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引用次数: 0

Abstract

Real-time prediction of the rate of penetration (ROP) is crucial for enhancing drilling efficiency. Formation drillability (FD), a key factor that reflects the formation characteristics is rarely considered in common studies. In this paper, a real-time FD sensing-based hybrid online prediction method of ROP and its industrial application for the drilling process is proposed, which contains two main stages (FD soft sensing and online ROP prediction). In the first stage, the FD of the bottom hole is predicted in real-time based on the soft sensing techniques, which is set as one of the input parameters of the ROP prediction model. In the second stage, five parameters that have close relationships with the ROP are pre-processed online using limiting filtering and Savitzky Golay (SG) filtering first. After that, the hybrid modeling method and incremental learning strategy are introduced to establish the ROP prediction model. Finally, the proposed method is applied in the Gedian area, Central China. Compared with six well-known ROP prediction methods, the prediction accuracy is improved by at least 19%, which validates the effectiveness of the proposed method and lays a foundation for intelligent optimization control of the drilling process.

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基于地层可钻性实时感知的机械钻速混合在线预测方法及其在钻井过程中的工业应用

实时预测钻进速度（ROP）对于提高钻井效率至关重要。地层可钻性（FD）是反映地层特征的关键因素，在常规研究中很少考虑。本文提出了一种基于FD实时传感的钻井机械钻速混合在线预测方法及其工业应用，该方法包括FD软测量和在线机械钻速预测两个主要阶段。第一阶段，基于软测量技术对井底FD进行实时预测，并将FD作为ROP预测模型的输入参数之一；在第二阶段，首先使用限制滤波和Savitzky Golay （SG）滤波对与ROP关系密切的5个参数进行在线预处理。然后，引入混合建模方法和增量学习策略，建立机械钻速预测模型。最后，将该方法应用于中部葛店地区。与六种已知的机械钻速预测方法相比，预测精度提高了至少19%，验证了所提方法的有效性，为钻井过程的智能优化控制奠定了基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Control Engineering Practice 工程技术-工程：电子与电气

CiteScore

9.20

自引率

12.20%

发文量

183

审稿时长

44 days

期刊介绍： Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper. The scope of Control Engineering Practice matches the activities of IFAC. Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.