Liquidity Risk and Its Determinants': A Study on Manufacturing Industry of Oil and Gas (Rosneft) in Russia

2018 ◽  
Author(s):  
Turgha Devi Sanglimuthu
2018 ◽  
Author(s):  
Turgha Devi Sanglimuthu ◽  
Menaga Subramaniam ◽  
Ejin Awin ◽  
Naomi Veejayen

2018 ◽  
Author(s):  
Qi Wang ◽  
Norshafikah Ghazali ◽  
Aqila Yus'Shaqirah Mohd Yusri ◽  
Zhenghong Jiang ◽  
Houpu Tang

2021 ◽  
Vol 61 (2) ◽  
pp. 291
Author(s):  
Paul Trotman

In 2020, the liquefied natural gas (LNG) trade saw a modest increase of 1%, which is in contrast to the strong growth of previous years. Recently, the global LNG trade has picked up following the easing of impacts from the pandemic and demand growth in Asia. An increase of 6% in the global LNG trade is expected in 2021 and 2022. Domestic demand for gas remains high, with gas being used both for residential supply and also as an essential feedstock for the manufacturing industry. With a projected domestic gas shortfall, the future exploration and development of oil and gas will play a key role in ensuring access to secure, reliable and affordable energy in the future as well as assisting economic recovery from the pandemic. The importance of remaining an attractive investment destination is essential. Our challenge is to not only strike the balance of being agile and adaptive to market disruptions but also provide robust policy and regulatory frameworks to underpin future investment in the sector. Against this backdrop, this paper provides details of the 2021 offshore petroleum exploration acreage release and information about the ongoing policy work of the department.


Author(s):  
Madhumitha Ramachandran ◽  
Jon Keegan ◽  
Zahed Siddique

Abstract Reciprocating seal located directly on the rod/piston of a reciprocating equipment is used for preventing leakage and reducing wear between two parts that are in relative motion. Degradation assessment of reciprocating seal is extremely important in the manufacturing industry to avoid fatal breakdown of reciprocating equipment and machines. In this paper, we have proposed a data-driven prognostics approach using friction force to predict the degradation of reciprocating seal using Support Vector Regression. Statistical time domain features are extracted from friction force signal to reduce the complexity of raw data. Principal Component Analysis is used to fuse the relevant features and remove the redundant features from the process. Based on the selected features, a Support Vector Regression model is then built and trained for the prediction of seal degradation. A Grid search method is used to tune the hyperparameters in the SVR model. Run-to-failure data collected from an experimental test set-up is used to validate the proposed methodology. The study findings indicate that a small set of relevant features which can represent the pattern related to degradation is sufficient to have a high prediction accuracy. The seal tested for this study comes from oil and gas industry, but the proposed method can be implemented in any industry with reciprocating equipment and machines.


2021 ◽  
Author(s):  
Chinedu Onyeme ◽  
Kapila Liyanage

The shift towards Industry 4.0 is a fundamental driver of improved changes observed in today’s business organizations. The difficulties in adapting to this new approach pose challenges for many companies especially in the oil and gas (O&G) upstream sector. To make this path much feasible for companies in this industry, Maturity Models (MMs) are very useful tools in achieving this following their use in evaluation of the initial state of a company for planned development journey towards Industry 4.0 (I4.0) readiness and implementation. Study shows that only a limited number of O&G specific roadmaps, MMs, frameworks and readiness assessments are available today. This paper aims to review the currently available Industry 4.0 MMs for manufacturing industries and analyze their applicability in the O&G upstream sector using the systematic literature review (SLR) methodology, recognizing the specific requirements of this industry. The study looks at the key characteristic for O&G sector in relation to the manufacturing sector and identifies research gaps needed to be addressed to successfully support the O&G sector in readiness for Industry 4.0 implementation. An Industry 4.0 maturity model that reflects the industrial realities for the O&G upstream sector more accurately from insights drawn from the reviews of existing MMs is proposed. This reduces the challenges of the transition process towards Industry 4.0 and provides support for the critical change desired for improved efficiency in the sector.


2018 ◽  
pp. 20-23
Author(s):  
A. E. Miller

The development of the global economic system leads to the fact that modern production is becoming more technological and capital intensive, requires highly skilled labor and cannot provide work places for a large number of low-skilled workers. In addition, each high-tech work place creates several additional work places in other industries. Many technologies that were first used in industrial production were later used in other industries, increasing their efficiency and competitiveness and thus ensuring the overall economic development. Scientific research and development for the industry are becoming more transdisciplinary; hybrid research areas as well as cross-disciplinary technologies appear. The main problem is that the Russian industrial complex is not ready for unconditional acceptance of these global technological challenges for the most part organizationally, not economically. We need a simple and well-defined organizational and economic mechanism of technologizing of domestic production. Despite the current economic difficulties, there are enough sources of such technological transition funding. They are: entry into the large-scale investment and infrastructure projects on a national scale; participation in projects of field development of the leading oil and gas companies; the programmes of innovative development and R&D programmes of state companies, industrial state programmes; subsidies and grants of development institutions; private funds of enterprises, etc.


2018 ◽  
Vol 11 (2) ◽  
pp. 309-330 ◽  
Author(s):  
Cicero Vasconcelos Ferreira Lobo ◽  
Robisom Damasceno Calado ◽  
Roberta Dalvo Pereira da Conceição

Purpose Lean approach has overcome the boundaries of the automotive and manufacturing industry and has achieved many different sectors of the economy, including services. In this context, this paper aims to investigate the applicability of value stream mapping (VSM) tool in processes of the oil and gas chain. Also, this paper investigates if there is a specific framework currently being used by organizations belonging to this chain to map the value stream of its processes. Design/methodology/approach A detailed systematic review of the literature is done by using a set of relevant keywords based on peer-reviewed journal articles and conference papers available in the Scopus database, analyzing data from 2012 to 2017. Content analysis methodology involving a four-step process (identification, screening, eligibility and inclusion) suggested by Moher et al. (2009) was adopted for this study. Findings The number of studies in literature on VSM applicability to the oil and gas chain processes is low when compared to studies regarding the application of lean tools and methods in general in this area. Also, there is no specific framework that has been used by the oil and gas chain companies to carry out the VSM, which is a research gap that can be further explored. Research limitations/implications Sample size for this research consists of 42 studies, thereby limiting the generalizability of the research studies. However, the analysis presented in this paper was based only on Scopus database, which is a remarkable and broad base, which provided robustness to the data found. Practical implications Practicing managers of oil and gas chain who are planning to transform their processes can use the VSM for it. Researchers can explore the research gap found in this study and develop a specific framework to implement VSM in the oil and gas chain processes. Originality/value This is the first paper to evaluate the VSM tool applicability to the oil and gas chain processes based on an systematic literature review and understand if this is possible and if there is a specific framework to carry out this task.


2013 ◽  
Vol 794 ◽  
pp. 493-501
Author(s):  
Palla V. Sivaprasad ◽  
Narendra Girase ◽  
Supriya Sarkar ◽  
Olle Wijk

Stainless steels of different types and grades are being developed world over to meet ever increasing demand for enhanced materials performance. Advanced stainless steel products have applications in a variety of industries including nuclear, defence, space, chemical, oil and gas, medical and appliance. It is understood that the properties of the alloys strongly depend not only on the chemical composition but also on their microstructure, which in turn depends on parameters in the manufacturing process. Therefore, the challenge to the manufacturing industry is not only selection of optimum composition but also relevant manufacturing processes to meet the requirements. Designing a manufacturing process and optimum process schedules using experimental trials is both time consuming and expensive. Modeling and simulation play an important role to reduce these times effectively. This paper presents important points to be considered to produce clean steels and highlights the applicability of modeling techniques that can be effectively applied in a manufacturing industry. Some of the case studies that are included in the paper are Computational Fluid Dynamics model to understand gas atomisation Finite element modeling of compound tube extrusion In conclusion, the power of modeling and simulation to understand manufacturing processes is highlighted.


2021 ◽  
Vol 325 ◽  
pp. 03006
Author(s):  
Julia Thio ◽  
Fahma Husnalawati ◽  
Fatma Kusuma Porodani ◽  
Afifudin Anggun Nurzahwa Haris ◽  
Jaa’ana Nurur Riza ◽  
...  

Export activities are important to the economic growth of the country, especially for developing countries. The city of Cilegon in Banten Province is the main city for the manufacturing industry in Indonesia, mainly for its iron and steel products. This study aims to determine the proportion of exported goods for the manufacturing industry in the City of Cilegon and make suggestions for further development. Data used are BPS publications 2016-2020, LQ is calculated to know the basis of the economic sector in the city. According to the calculation, the manufacturing industry in the City of Cilegon shares 59.70%, the highest among other regions. Commodities that dominated the export trade are footwear, plastic products, iron and steel products, while the US, China, and Japan were the countries that had the highest FOB. To escalate export performance and intensity, it is necessary to consider market and competitors’ networks, improvement of education and transport infrastructure, along with environmental and social-cultural impacts.


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