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 …

This article is devoted to the development of technology for improving the efficiency of
directional well drilling by predicting and adjusting the system of static and dynamic …

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 …

The rig state plays a crucial role in recognizing the operations carried out by the drilling crew
and quantifying Invisible Lost Time (ILT). This lost time, often challenging to assess and …

This paper presents data-driven modeling and a results analysis. Group method data
handling (GMDH), multivariable regression (MVR), artificial neuron network (ANN), and new …

The oil and gas industry is changing. The drive towards cleaner and safer operations is
becoming increasingly important. Researchers are looking for more efficient and accurate …

We present a novel approach for real-time estimation of the mechanical properties of rock
with drilling data. We demonstrate that surface drilling telemetry (also known as mud …

A significant proportion of capital and operational expenditures of oil and gas companies
falls on the well construction. Unexpected situations inevitably happen during drilling …

AI technologies mine past data to anticipate future events, and yet our world of
environmental and political crisis ushers in unprecedented conditions. Mixing examples of …

Fault diagnosis is required to ensure the safe operation of various equipment and enables
real-time monitoring of associated components. As a result, the demand for new cognitive …