Artificial intelligence (AI) has been used for more than 2 decades as a development tool for
solutions in several areas of the exploration and production (E&P) industry: virtual sensing …

In the last decade, upstream oil industry faced an exponential increase of the use of real-
time data, which lead to numerous digital oilfield (DOF) implementations. These have …

В статье представлены исследования по методам и принципам оценки
инновационного потенциала нефтегазодобывающей компании. Обосновывается …

Data Analytics in Reservoir Engineering Page 1 PetroBrief Data Analytics in Reservoir
Engineering Sathish Sankaran Sebastien Matringe Mohamed Sidahmed Luigi Saputelli …

UAE has one of the largest portfolios of reservoir development projects across the world. In
managing such projects, ADNOC and its operating assets make multiple decisions to …

Abstract Oil production from North Kuwait carbonate reservoirs are challenging because of
factors, such as high permeability streaks, poor microscopic sweep efficiency, and low …

Digital oil field (DOF) in the upstream industry has gained momentum in the last few years
and has transformed from being solely a vision to actual projects that have measurable …

As operations extend to deeper and more complex reservoirs, the industry is faced with
challenges towards efficiently appraising and developing these fields. Some of the key …

Efficient oilfield asset management requires the effective use of real-time data, model
updates, and optimization of control variables to produce the most favorable choices …

The paper presents an overview of research into the methods and principles used to assess
the innovative potential of an oil and gas company. The validation is provided for the …