As Oil remains one of the most highly valued commodities in theenergy sector and as concerns over the environmental impact of energyproduction and consumption persist, oil and gas companies are actively seekinginnovative approaches to achieving their business goals while reducingenvironmental impact.
Another issue in oil and gas industries is Hydrocarbon exploration, theability to map and identify oil and natural gas deposits beneath the earth’ssurface, is a growing area of focus in the oil and gas industry. However, moreinnovative and environmentally-friendly methods of achieving improved effectivenessand efficiency are needed in the field. Environmentalconditions are increasingly challenging for workers conducting hydrocarbonexploration thus technology capable of handling the task while retainingoptimal functionality is highly desirable. As aresult of that duringthe last two decades, the petroleum industry across the world has experienced a sharp increase in the number of artificialintelligence (AI) applications. This upsurge in the number of applications ofAI is due to the greater availability of human experts. Artificial Intelligence has beendefined as “the ability of the machine toperform at the level of human expert”.
Rooted in science and engineering, thedomain includes machine learning, natural language processing, patternrecognition, search, inference, andplanning. It is devoted to designing ways to make computers perform tasks thatwere previously thought to require human intelligence. AI studies are broadly classifiedinto two main categories;1. Studies that try to mimic theoperation of human brains known as Artificial Neural Network (ANN)2. Studies that understand and applythinking methodologies is known as classical Artificial Intelligence.