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В современных рыночных отношениях, при постоянной динамике, завоевания новых рынков сбыта становится приоритетом для многих компаний. В этих условиях грамотно спланированный и организованный процесс диверсификации способствует повышению продуктивности работы компании и каждого его подразделения, таким образом, выбранная тема представляется актуальной. Целью данной работы является разработка методики оценки экономической эффективности диверсификации действующего предприятия. В работе исследованы понятие «диверсификация» её виды и методы. Детально разобран процесс стратегического планирования. Разработан алгоритм планирования при выборе стратегии диверсификации на производственном предприятии, который включает оценку экономической эффективности через интегрированную дисконтированную валовую добавленную стоимость, позволяющий сделать экономически обоснованный выбор стратегии предприятия. В результате апробации предложенной методики в ООО "Экоальянс" был сделан вывод о целесообразности диверсификации производства и эффективности предложенной методики. Таким образом, на ООО "Экоальянс" был проведён анализ выбора экономической стратегии и доказана её экономическая эффективность. / In modern market relations, with constant dynamics, the conquest of new markets becomes a priority for many companies. Under these conditions, a well-planned and organized diversification process helps to increase the productivity of the company and each of its divisions, so the chosen topic is relevant. The purpose of this work is to develop a methodology for assessing the economic efficiency of diversification of the existing enterprise. The paper investigates the concept of "diversification" its types and methods. The process of strategic planning is analyzed in detail. The algorithm of planning at the choice of strategy of diversification at the production enterprise which includes an assessment of economic efficiency through the integrated discounted gross value added allowing to make a choice of economic strategy of the enterprise is developed. As a result of approbation of the offered technique in ltd. Ecoalliance the conclusion about expediency of diversification of production and efficiency of the offered technique was drawn. Thus, the analysis of the choice of economic strategy was carried out at ltd Ecoalliance and its economic efficiency was proved.

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This thesis aims to examine the economic effect in terms of real GDP at constant 2017 national prices (in mil. 2017 US$) of being a member in the European Union in the case of Sweden. The method used to answer the research question is mainly by the Synthetic Control Method. Difference-in-difference estimations were also conducted as a complement to compare the results between the two methods. Previous literature in the subject has for the most part received results indicating that a membership in the European Union contributes to an increase in certain economic growth aspects for the member countries. The economic theories about common markets points at that a common market can be both advantageous but also disadvantageous depending on the setting. Theories more closely related to the European Union present rather ambiguous answers to certain economic effects of a membership but in some cases, it seems to be possible to assume some positive economic effect from being a European Union-member. The results in this paper seem to be robust in the way that the effect on the real GDP at constant 2017 national prices (in mil. 2017 US$) in Sweden from its membership in the European Union is negative in all estimations that were made. However, none of the results were statistically significant so there is not enough evidence to say that the Swedish real GDP at constant 2017 national prices (in mil. 2017 US$) would have been different to the factual outcome if Sweden did not join the European Union in 1995.

The quantitative estimation of reservoir properties directly from seismic data is a major goal of reservoir characterization. Integrated reservoir characterization makes use of different varieties of well and seismic data to construct detailed spatial estimates of petrophysical and fluid reservoir properties. The advantage of data integration is the generation of consistent and accurate reservoir models that can be used for reservoir optimization, management and development. This is particularly valuable in mature field settings where hydrocarbons are known to exist but their exact location, pay, lateral variations and other properties are poorly defined. Recent approaches of reservoir characterization make use of individual seismic attributes to estimate inter-well reservoir properties. However, these attributes share a considerable amount of information among them and can lead to spurious correlations. An alternative approach is to evaluate reservoir properties using multiple seismic attributes. This study reports the results of an investigation of the use of multivariate seismic attributes to predict lateral reservoir properties of gross thickness, net thickness, gross effective porosity, net-to-gross ratio and net reservoir porosity thickness product. This approach uses principal component analysis and principal factor analysis to transform eighteen relatively correlated original seismic attributes into a set of mutually orthogonal or independent PC??s and PF??s which are designated as multivariate seismic attributes. Data from the N-sand interval of Vermilion Block 50 field, Gulf of Mexico, was used in this study. Multivariate analyses produced eighteen PC??s and three PF??s grid maps. A collocated cokriging geostaistical technique was used to estimate the spatial distribution of reservoir properties of eighteen wells penetrating the N-sand interval. Reservoir property maps generated by using multivariate seismic attributes yield highly accurate predictions of reservoir properties when compared to predictions produced with original individual seismic attributes. To the contrary of the original seismic attribute results, predicted reservoir properties of the multivariate seismic attributes honor the lateral geological heterogeneities imbedded within seismic data and strongly maintain the proposed geological model of the N-sand interval. Results suggest that multivariate seismic attribute technique can be used to predict various reservoir properties and can be applied to a wide variety of geological and geophysical settings.

The quantitative estimation of reservoir properties directly from seismic data is a major goal of reservoir characterization. Integrated reservoir characterization makes use of different varieties of well and seismic data to construct detailed spatial estimates of petrophysical and fluid reservoir properties. The advantage of data integration is the generation of consistent and accurate reservoir models that can be used for reservoir optimization, management and development. This is particularly valuable in mature field settings where hydrocarbons are known to exist but their exact location, pay, lateral variations and other properties are poorly defined. Recent approaches of reservoir characterization make use of individual seismic attributes to estimate inter-well reservoir properties. However, these attributes share a considerable amount of information among them and can lead to spurious correlations. An alternative approach is to evaluate reservoir properties using multiple seismic attributes. This study reports the results of an investigation of the use of multivariate seismic attributes to predict lateral reservoir properties of gross thickness, net thickness, gross effective porosity, net-to-gross ratio and net reservoir porosity thickness product. This approach uses principal component analysis and principal factor analysis to transform eighteen relatively correlated original seismic attributes into a set of mutually orthogonal or independent PC??s and PF??s which are designated as multivariate seismic attributes. Data from the N-sand interval of Vermilion Block 50 field, Gulf of Mexico, was used in this study. Multivariate analyses produced eighteen PC??s and three PF??s grid maps. A collocated cokriging geostaistical technique was used to estimate the spatial distribution of reservoir properties of eighteen wells penetrating the N-sand interval. Reservoir property maps generated by using multivariate seismic attributes yield highly accurate predictions of reservoir properties when compared to predictions produced with original individual seismic attributes. To the contrary of the original seismic attribute results, predicted reservoir properties of the multivariate seismic attributes honor the lateral geological heterogeneities imbedded within seismic data and strongly maintain the proposed geological model of the N-sand interval. Results suggest that multivariate seismic attribute technique can be used to predict various reservoir properties and can be applied to a wide variety of geological and geophysical settings.