Redirigiendo al acceso original de articulo en 24 segundos...
ARTÍCULO
TITULO

Basic Principles (Indicators) for Assessing the Technical and Economic Potential of Developing Arctic Offshore Oil and Gas Fields

Gennady Stroykov    
Yurii N. Vasilev and Oleg V. Zhukov    

Resumen

Sustainable development of the Arctic is the main priority of the state policy regarding regional development of the Russian Federation. The study of the Arctic zone of the Russian Federation for the formation of principles, methods and strategies, as well as organizational and economic mechanisms for its sustainable development is topical at present. This article deals with one of the strategic decision-making tools used in the process of implementing the development program for the Russian Arctic, namely, the assessment of the technical and economic potential of the Arctic fields. The purpose of this assessment is to rank the fields according to the priority of their commissioning for a more optimal distribution of costs in the development of Arctic resources. This paper presents the results and methodology of technical and economic potential estimation in general, and the potential of the Arctic oil and gas fields in particular. An analysis of the conceptual apparatus in the field of the evaluation of various types of potential is carried out. The methodology for assessing the technical and economic potential of a field are investigated. The problems arising in the process of such an assessment are revealed. Recommendations for improving the methodology of assessing the technical and economic potential of oil and gas fields in the Arctic are given. The necessity of expanding the list of indicators for assessing the technical and economic potential of these fields, taking into account current trends, has been noted. A list of 10 technical and 26 economic indicators to assess the technical and economic potential of the development of offshore Arctic fields is proposed.

 Artículos similares

       
 
Styliani Tassiopoulou, Georgia Koukiou and Vassilis Anastassopoulos    
In the ever-evolving landscape of tomographic imaging algorithms, this literature review explores a diverse array of themes shaping the field?s progress. It encompasses foundational principles, special innovative approaches, tomographic implementation al... ver más
Revista: Algorithms

 
Junsen Wang, Yulin Tang, Shaohua Jin, Gang Bian, Xinyang Zhao and Chengyang Peng    
Given the lack of systematic research on bathymetric surveys with multi-beam sonar carried by autonomous underwater vehicles (AUVs) in unfamiliar waters, this paper proposes a method for multi-beam bathymetric surveys based on the constant-depth mode of ... ver más

 
Bradley Walters, Sandra Ortega-Martorell, Ivan Olier and Paulo J. G. Lisboa    
A lack of transparency in machine learning models can limit their application. We show that analysis of variance (ANOVA) methods extract interpretable predictive models from them. This is possible because ANOVA decompositions represent multivariate funct... ver más
Revista: Algorithms

 
Massimo Chiari    
Ion beam analysis (IBA) methods refer to a set of analytical techniques based on the interactions of energetic ions, produced by a particle accelerator, with matter. The result of such interactions is the emission of characteristic radiation, X and gamma... ver más
Revista: Applied Sciences

 
Xiaoyu Liu and Xiang Zhang    
In order to enhance the accuracy of the traditional extended Kalman filter (EKF) algorithm in the estimation of the state of charge (SoC) of power batteries, we first derived the state space equation and measurement equation of lithium power batteries ba... ver más
Revista: Applied Sciences