scholarly journals A Comparative Analysis Between Optimized and Baseline High Pressure Compressor Stages Using Tridimensional Computational Fluid Dynamics

2016 ◽  
Vol 6 (4) ◽  
pp. 1103-1108 ◽  
Author(s):  
V. Dragan ◽  
I. Malael ◽  
B. Gherman

Re-vamping of industrial turbo-machinery is commonplace in the oil and gas industry in applications where subterranean combustion is used for oil extraction. The current case study refers to such an industrial compressor re-vamping, using a state of the art 3D fully viscous CFD methodology coupled with artificial neural networks (ANNs) and genetic algorithms (GA). The ANN is used to establish correlations within a database of CFD simulations of geometrical variations of the original rotor and the GA uses those correlations to estimate an optimum. The estimate is then tested with the same CFD method and the results are fed back into the database, increasing the accuracy of the ANN correlations. The process is reiterated until the optimum estimated by the GA is confirmed with the CFD simulations. The resulting geometry is superior to the original in terms of efficiency and pressure ratio as well as the range of stabile operation, as confirmed by the successful implementation in the field. In this paper we present an analysis of why the optimized geometry achieves superior performances to the original one. Further work will present comparison between the detailed experimental data and CFD.

2021 ◽  
pp. 239496432110320
Author(s):  
Francesca Loia ◽  
Vincenzo Basile ◽  
Nancy Capobianco ◽  
Roberto Vona

Over the years, value co-creation practices have become increasingly more important by supporting collaborative interactions and the achievement of sustainable and mutual competitive advantage between the ecosystem’ actors. In this direction, the oil and gas industry is proposing a sustainable re-use of offshore platforms based on value co-creation and resources exchange between the actors involved. According to this consideration, this work aims at re-reading the decommissioning of offshore platforms in the light of value co-creation practices, trying to capture the factors that governments and companies can leverage to pursue a sustainable development of local communities. To reach this goal, this work follows an exploratory approach by using, in particular, the case study. Specifically, one of the most notably projects in the Italian context have been chosen, the Paguro platform, in order to provide empirical insights into the nature of these value co-creation processes. Five value co-creation practices have been identified which highlight the importance of synergistic efforts of institutions, companies and technology-based platforms for improving the ability to co-create and capture value in the process of decommissioning. This exploratory work establishes a foundation for future research, and offers theoretical and managerial guidance in this increasingly important area.


World Science ◽  
2019 ◽  
Vol 3 (5(45)) ◽  
pp. 16-21
Author(s):  
Мирхамидова Д. Н. ◽  
Атаханова Ш. С. ◽  
Соатов Ф. Й.

In article researches on establishment of influence of geological and technology factors on efficiency of investment projects, determination of risks at implementation of investment projects in the oil and gas industry and feature and factors for successful implementation of investment projects are considered.


2016 ◽  
Vol 17 (1) ◽  
pp. 65-70 ◽  
Author(s):  
Steven Pattinson

This case study focuses on strategic thinking and opportunistic approaches to business growth and diversification. It begins by examining the recent purchase of ‘Quickcover’, a remote-controlled sports pitch covering system, by engineering company Strategic Engineering Services and the company's current dilemma – whether to continue to develop this type of product, or sell it and concentrate on its existing engineering services business. In recent years, Strategic Engineering Services has moved away from traditional heavy engineering and diversified into related areas such as engineering services, oil and gas industry recruitment, plant and equipment hire, instrument calibration and project management. The case considers the relationship between strategic thinking and entrepreneurial approaches to opportunity recognition, exploring the concept of intelligent opportunism as an approach that enables entrepreneurs to develop emergent strategies and take advantage of new opportunities. It explores these concepts in the context of the current dilemma of Strategic Engineering Services.


2019 ◽  
Vol 59 (2) ◽  
pp. 762
Author(s):  
Mohammad B. Bagheri ◽  
Matthias Raab

Carbon capture utilisation and storage (CCUS) is a rapidly emerging field in the Australian oil and gas industry to address carbon emissions while securing reliable energy. Although there are similarities with many aspects of the oil and gas industry, subsurface CO2 storage has some unique geology and geophysics, and reservoir engineering considerations, for which we have developed specific workflows. This paper explores the challenges and risks that a reservoir engineer might face during a field-scale CO2 injection project, and how to address them. We first explain some of the main concepts of reservoir engineering in CCUS and their synergy with oil and gas projects, followed by the required inputs for subsurface studies. We will subsequently discuss the importance of uncertainty analysis and how to de-risk a CCUS project from the subsurface point of view. Finally, two different case studies will be presented, showing how the CCUS industry should use reservoir engineering analysis, dynamic modelling and uncertainty analysis results, based on our experience in the Otway Basin. The first case study provides a summary of CO2CRC storage research injection results and how we used the dynamic models to history match the results and understand CO2 plume behaviour in the reservoir. The second case study shows how we used uncertainty analysis to improve confidence on the CO2 plume behaviour and to address regulatory requirements. An innovative workflow was developed for this purpose in CO2CRC to understand the influence of each uncertainty parameter on the objective functions and generate probabilistic results.


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