Spatial organization of gas resources development in the Yamal oil and gas bearing region

The Yamal oil and gas province (OGP) is strategically important for the Russian gas industry. In the coming decade, gas production in Yamal is expected to grow to 180-200 billion cubic meters per year. The main goal of the article is to solve a scientific problem consisting in the study of the spatial organization of the development of gas resources, determination of the rational structure of reproduction of natural gas reserves in the Yamal oil-gas-bearing region in the context of the modernization of the Arctic gas industry complex. The article assessed the gas resources of Yamal, revealed trends in the economic development of natural gas fields, presented the characteristics of investment projects based on the fields being developed. An analysis was carried out that made it possible to differentiate the deposits by the degree of their prospects, and a strategy for expanding the hydrocarbon potential of Yamal was determined. It was revealed that the main areas of production in the Yamal oil-gas-bearing region are associated with the development of deposits with a high level of Cenomanian deposits. Such deposits are characterized by a higher increase in the capitalization and profitability of investment projects in real time compared to fields located in the northern and far eastern seas, including on the shelf of the Kara Sea. It was concluded that the strategy for the reproduction of hydrocarbon potential will be aimed at conducting prospecting and exploration in order to transfer forecast resources to industrial reserves of natural gas. The study applies a general scientific methodology providing for systemic and comprehensive approaches to justify the spatial organisation of gas resources development in the Yamal oil and gas bearing region. A significant body of factual material on the state of free gas and condensate reserves in Yamal has been analyzed. The results of the research were obtained with the use of comparative-analytical, statistical methods of economic analysis.