Artificial Intelligence (AI) can be defined as the application of science and engineering
with the intent of intelligent machine composition. It involves using tool based on intelligent
behavior of humans in solving complex issues, designed in a way to make computers
execute tasks that were earlier thought of human intelligence involvement. In comparison
to other computational automations, AI facilitates and enables time reduction based on
personnel needs and most importantly, the operational expenses.
Artificial Intelligence (AI) is an area of great interest and significance in petroleum
exploration and production. Over the years, it has made an impact in the industry, and the
application has continued to grow within the oil and gas industry. The application in E &
P industry has more than 16 years of history with first application dated 1989, for well log
interpretation; drill bit diagnosis using neural networks and intelligent reservoir simulator
interface. It has been propounded in solving many problems in the oil and gas industry
which includes, seismic pattern recognition, reservoir characterisation, permeability and
porosity prediction, prediction of PVT properties, drill bits diagnosis, estimating pressure
drop in pipes and wells, optimization of well production, well performance, portfolio
management and general decision making operations and many more.
This paper reviews and analyzes the successful application of artificial intelligence
techniques as related to one of the major aspects of the oil and gas industry, drilling capturing
the level of application and trend in the industry. A summary of various papers and
reports associated with artificial intelligence applications and it limitations will be highlighted.
This analysis is expected to contribute to further development of this technique
and also determine the neglected areas in the field.
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