The application of artificial intelligence (AI) has become inevitable in the petroleum industry.
In drilling and completion engineering, AI is regarded as a transformative technology that …

Rate of penetration (ROP) management is a matter of importance in drilling operations and it
has been considered in different studies. Different machine learning methods such as …

随着油气勘探开发逐渐向非常规, 低渗透, 深层, 深水等复杂油气领域发展, 钻井工程在安全,
经济和效率等方面面临一系列难题和挑战. 基于大数据和人工智能等前沿技术的智能钻井技术 …

Accurate prediction of the rate of penetration (ROP) is a difficult issue in the drilling process,
especially under complex formation conditions. Many methods, such as mechanism and …

Accurate prediction of pore pressure (PP) is among the most critical concerns to the design
of drilling operation because of the remarkable role of this parameter in preventing particular …

Early detection of downhole faults in geological drilling processes can effectively reduce
downtime and prevent catastrophic drilling accidents. Considering that the changes of …

Suppressing torsional vibration of drill-string has great safety and economic importance to
drilling process. Note that most existing control methods only measure surface information …

In deep geological drilling processes, the geological environment becomes more complex
with the increasing of the drilling depth; consequently, the risks of downhole incidents get …

Accurately and promptly detecting downhole abnormalities is of great importance to ensure
safe and efficient operation of geological drilling systems. In view of the lack of abnormal …

The accurate prediction of rate of penetration (ROP) has a crucial role in improving efficiency
and minimizing cost in geological drilling process. Considering the drilling characteristics of …