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Evaluation of the Effectiveness of Using Computer Vision Technology in the Oil and Gas Industry on the Example of Gazprom Neft Company

ФИО студента: Aleksey Novikov

Руководитель: Elena Rogova

Кампус/факультет: St.Petersburg School of Economics and Management

Программа: Finance (Master)

Год защиты: 2021

In front of us humanity is on the verge of a technological revolution that already radically change the way we live, work and communicate with each other. The speed of breakthroughs of modern technologies in various fields has no historical precedent. One such breakthrough technology is computer vision, which is a large part of artificial intelligence. This paper explores the latest developments in the field of computer vision that have the greatest chances of implementation in the oil and gas industry in Russia. The key goal of this paper is to understand the potential effectiveness from computer vision technology in the oil and gas industry in Russia on the example of real company – Gazprom Neft. In this paper the areas of application of the technology are considered, the most priority scenarios are highlighted, approaches to the assessment of the cost and profit side for the selected scenarios are described and, as a result, a consolidated DCF financial model was drawn up, describing the effect of the introduction of technology into the company's business processes. This work set out the aims and purposes of the research study. The first chapter contains a technological overview of the computer vision technology, analysis of the main business processes in Gazprom Neft company. The second chapter is devoted for selection of initiatives for implementation, analysis of the cost and revenues from implementation, assessment of the effectiveness of selected initiatives, as well as consolidation of results. The third chapter presents the results of the study including key recommendations and conclusions. Keywords: Computer vision, digital technologies, artificial intelligence, oil&gas, oil and gas, Gazprom Neft, DCF modelling.

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