Classification of Perm krai areas according to prospectivity for oil fields acquisition

Abstract

In modern conditions keeping high performance in oil exploration work implies development of the areas forming an unallocated subsoil reserve fund by acquiring licenses for the new oil fields.­ Resource potential of the current licence blocks depletes as good structures are surveyed and deposits are put into operation, hence exploration is required in the new areas. Oilfield exploration efficiency largely depends on resource potential of the plots, the state of their geologic and geophysic exploration, distance from infrastructure facilities, geologic parameters and readiness of developers to carry out survey and uncover the plots' potential. The licensing mechanism involves regular publication by governing bodies of large lists of the plots for them to be developed within a certain time period. It is crucial for developers to filter these lists to ignore least prospective plots and select the most prospective to perform a comprehensive assessment prior to acquisition. To minimize the time expenses and assess the largest amount of plots possible a filtering procedure has to be simple, transparent and based on the minimum number of quantitative criteria. The present paper describes a technique to assess prospectivity of oil plots in Perm krai by using probability-statistical methods and processing exploration data for the previous years.

Keywords

• oil-and-gas content
• unallocated subsoil reserve fund
• resource potential
• extracted oil reserves and resources
• prospective plots
• forecast
• regression equation
• correlational relationship
• informativeness
• statistic analysis