Improving the Efficiency of Planning

Abstract

The first and one of the most important functions of management is planning. At the same time, in the current market conditions, the time for the implementation of this stage is very limited. In many ways, this applies to the oil and gas industry all the same. Due to the reduction of the resource base of the industry, the share of super-profitable projects has decreased significantly. Extraction of hard-to-recover oil and gas reserves is associated with active investment activities and with the need to introduce expensive technologies and equipment. The most common type of investment project associated with the geological and technical activities is being considered in the present paper. In order to increase the economic efficiency of the geological and technical activities it is proposed to implement an automated model at the stage of planning. This model, on the basis of the generalized geological, technological, statistical, macroeconomic and economic indicators, allows to solve quickly the following problems: of more precise and prompt planning the expenses on carrying out geological and technical actions; of defining minimum admissible profitable level of an oil flow rate after carrying out geological and technical actions; of determining the most economically justified duration of the overhaul of the well; of organizing the projects of geological and technical measures according to their attractiveness. As a result of the implementation of the automated model, an efficiency matrix for a particular field was compiled that determines the impact of the necessary investments and planned flow rate on the economic indicators of the project. The use of this matrix made it possible to exclude several inefficient geological and technical measures from the plan. The method of ranking based on the calculation of the integrated efficiency coefficient has been developed. On its basis, the issue of making optimal management decisions taking into account the impact of risk assessment in the case of projects with the same economic efficiency is solved.

Maintaining the Sustainable Energy Systems: Turning from Cost to Value

“…There are studies showing that technology development and diffusion are global, thus no national boundaries are needed to define learning effects [32,33]. However, the rate of increase of learning factor varies even between neighboring countries, as well as the cost of technologies.…”