Abstract
The article is devoted to the systematic solution of problems of multi-criteria assessment and the possibility of implementing projects for the development of hydrocarbon deposits on the Arctic shelf under conditions of uncertainty and risk. Risks are considered in a narrow and broad sense. It is shown that the solution of tasks, in this case, comes down: 1) to a multi-criteria assessment of the quality level of a field based on a hierarchy analysis method that takes into account uncertainties and risks of operating objects through the relevant necessary indicators (criteria); 2) determining, with the help of game theory adopted with the nature of the criteria for selecting the best Bayesian strategies, of development options under both partial and full uncertainty conditions; 3) selection using the rules of the Borda, Pareto and multi-criteria dispersive risk model for choosing the best development strategy.
Highlights
The determination of the absolute permeability of a rock sample based on standard laboratory studies requires special attention at the stage of processing experimental data
The traditional technique is based on the use of the Forchheimer equation [1], which takes into account the deviation from the Darcy law at high flow velocities caused by inertial forces:
Data from experiments conducted at high pressure gradients, i.e. under conditions when inertial forces become comparable with viscous forces and when the deviation from the Darcy law becomes obvious and can be fixed
Summary
The determination of the absolute permeability of a rock sample based on standard laboratory studies requires special attention at the stage of processing experimental data. Data from experiments conducted at high pressure gradients, i.e. under conditions when inertial forces become comparable with viscous forces and when the deviation from the (linear) Darcy law becomes obvious and can be fixed. It has been established by numerous experiments (for example, [2,3]) that the coefficient ββ is not constant and can change its value thousands of times depending on the type of porous medium.
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