The market volatility in the oil and gas (O&G) sector, the dwindling demand for oil due to the
impact of COVID-19, and the push for alternative greener energy are driving the need for …

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 worldwide demand for oil has been rising rapidly for many decades, being the first
indicator of economic development. Oil is extracted from underneath reservoirs found below …

In the context of geo-infrastructures and specifically tunneling projects, analyzing the large-
scale sensor-based measurement-while-drilling (MWD) data plays a pivotal role in …

In this paper, we present how precise deep learning algorithms can distinguish loss
circulation severities in oil drilling operations. Lost circulation is one of the costliest …

Drilling hazards can be significantly decreased by anticipating potential mud loss and then
putting the right well control measures in place. Therefore, it is critical to provide early …

We present a data-driven and physics-informed algorithm for drilling accident forecasting.
The core machine-learning algorithm uses the data from the drilling telemetry representing …

Lost circulation or losses in drilling fluid is one of the most important problems in the oil and
gas industry, and it appeared at the beginning of this industry, which caused many problems …

We present an approach for interpreting a black-box alarming system for forecasting
accidents and anomalies during the drilling of oil and gas wells. The interpretation …

In long-distance pipelines, this type of local damage can lead to different forms of damage.
Ultrasound (UT)-guided wave technology can detect channel damage at a distance and …