This study offered a detailed review of data sciences and machine learning (ML) roles in
different petroleum engineering and geosciences segments such as petroleum exploration …

Drilling wells in challenging oil/gas environments implies in large capital expenditure on
wellbore's construction. In order to optimize the drilling related operation, real-time decisions …

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 …

With the development of powerful computers, some new methods for solving challenging
problems are introduced. Some of these methods, which are called metaheuristic …

Lost circulation has become a crucial technical problem that restricts the quality and
efficiency improvement of the drilling operation in deep oil and gas wells. The lost-circulation …

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) enhancement serves as a key factor in reducing drilling time and
hence drilling costs. ROP enhancement requires identification of the parameters affecting …

Rate of penetration (ROP) prediction is crucial for the optimization and control in drilling
process due to its vital role in maximizing the drilling efficiency. This paper proposes a novel …

Oil and gas reservoirs are of the main assets of countries possessing them. Production from
these reservoirs is one of the main concerns of engineers, which can be achieved by drilling …

Lost circulation is one of the frequent challenges encountered during the drilling of oil and
gas wells. It is detrimental because it can not only increase non-productive time and …