Search results

The purpose of this paper is to employ lessons learned from the industrial accidents in Skikda refinery during the period from 2005 to 2016 as input data for the numerical simulation of risk consequences to identify the exposed areas to the various effects of industrial accidents.

In order to assess how the lessons learned can contribute to modeling the accidents effects in the refining activities, this paper presents a combined statistical/dynamic approach that combines two main tools, namely, lessons learned from petroleum refining in Algeria and Areal Locations of Hazardous Atmospheres software.

The results showed that fire is the most frequent accident at Skikda refinery that is mainly caused by equipment failures with a frequent involvement of crude oil and LNG. The NO₂ toxic effects are unacceptable. This means that in the case of a similar accident, the entire population will be exposed to an intolerable concentration of NO₂. Therefore, people must be relocated to a safer place. The results indicate that the concentration threshold can be met beyond the distance of 1 km.

Due to the economic importance of Skikda refinery and the absence of data related to the accidents in the refineries of Algiers, Arzew and Hassi Messaoud, this study is limited to the statistical analysis of accidents related to Skikda refinery.

This approach makes the risk assessment more practical and effective for the appropriate utilization of safety barriers and for the whole decision-making process.

This work presents a review paper of accidents that occurred in the oil-refining sector in Algeria, whose objective is learning lessons from past accidents history, by identifying their immediate causes and effects on personnel, equipment and environment in order to propose prevention measures. The novelty of this work is highlighted by the fact that this statistical analysis of oil and gas refining accident is realized for the first time in Algeria. This is due to the difficulty of obtaining data on accidents in the Algerian refining sector; for this reason, the authors have limited the study to the Skikda refinery.

Investment decisions by agribusiness firms are costly and subject to high volatility and uncertainty. In many cases, the project value is not only determined by its cash‐flows stream and financial side effects but also by the presence of substantial future uncertainty such as project implementation delay and growth opportunities. The purpose of this paper is to evaluate an agribusiness project taking into account these two options and to illustrate the how risks that evolve over time can affect sequential investment decisions in the oleic oil industry in Tunisia.

The methodology used to capture the investment project value and analyze the impact of lags between the initial investment decision and its implementation on project value is based on a decision tree method and binomial lattice method (which adds growth option). The project valuation is based, first on actual data at the time of the initial decision and second the authors use the full information to report on the true value of the investment opportunity as real time evolved.

Findings show that time to build is a very important factor in valuing an agribusiness especially when efficiency is strongly governed by climatic conditions and international market uncertainty. Our real options approach shows that production delays can deteriorate the follow‐on project value by as much as 53 percent. The implicit growth option falls to only 27 percent of the total project value while it was about 58 percent according to the standard forecast. The delay in project implementation not only affects the firm project financing costs and the loss of revenue, but also it contributes to modify the initial marketing strategy.

The paper is a first application of real option approach to the oleic oil industry. The methodology used in the paper can be adapted by practitioners and investors to adequately value oleic projects.

The paper seeks to discuss how traditional knowledge refining processes differ from those enabled by using social media applications. By addressing the topic with practical examples the paper aims to outline how collaborative work setting and social media tools are used in refining unstructured and unmanaged knowledge for value adding purposes.

The paper is a conceptual analysis with reflections on current practices.

The paper proposes that the collaborative setting provided by social media applications enables sharing of different insights: combining mutual insights as well as discussing conflicting insights helps to form a more multifaceted and truthful understanding on issues. Utilizing social media applications as collaborative tools also enriches information as it can also contain elements that are not predestined as in common business information systems. Social media applications empower employees to collaborate and contribute to intra‐organizational information flows in a more informal manner. In addition to factual information insights to it can be shared and discussed.

The paper studies the idea of social media, as well as social media tools, from different perspectives, such as leisure or user perspectives or context. However, interest has increased toward usability of such tools also in working or business contexts. The paper points out that social media applications can aid collaboration and informal participation and thus leverage refining of information and knowledge.

This paper aims to select key criteria for sustainable vendor assessment and spare-parts supplies in the Indian petroleum refining sector using stochastic fuzzy technique for order of preference by similarity to ideal solution (SFTOPSIS).

The criteria for sustainable vendor evaluation and selection are identified from the review of the literature and further; it is finalized using the Delphi method. Eight supply chain (SC) experts from the Indian petro refining sector were identified as having more than five years of experience and agreed to participate in this study (known as decision-makers (DM)). Five vendors supplying spare-parts are shortlisted from the market with the discussion and consent of procurement experts from petroleum refineries. Subsequently, criteria and vendors are rated based on relative importance in linguistic terms from the group of eight DMs. As ratings involve uncertainties in the decision-making, the SFTOPSIS method is applied to determine criteria weight and vendor ranking at a distinct significance level (α). The ranking of the vendors is obtained for sustainable supply of spare-parts in the Indian petro refining sector using the SFTOPSIS method.

The ranking of sustainable vendors is obtained through the integrated application of the fuzzy and stochastic approach to capture the uncertainties in the ratings of DMs. The sensitivity analysis is carried out at distinct confidence limits of a normal distribution to obtain a robust ranking of the vendors. In this paper, a case application of SFTOPSIS in the Indian petro refining sector is presented in which key criteria and the vendor ranking are found to be changing with confidence limit for sustainable vendor evaluation.

The fuzziness and randomness in relative ratings collects from a group of DMs are taken in the proposed methodology. The distinct approaches are compared with changing significance-level under stochastic, fuzzy and deterministic TOPSIS to acquire robustness in the ranking. The proposed SFTOPSIS model can be useful to practitioners from the petroleum sector.

The originality of the paper contributes to an application of the SFTOPSIS method that is the extension of FTOPSIS in the petro refining sector of a developing country. The sensitivity analysis with distinct significance-level shows the uncertainties in the collected ratings from the DMs that supports robustness in the ranking. It might be helpful for SC professionals from the petro refining sector, who assess the rank of the vendors at different confidence limits for sustainable supply of spare-parts. Further research in the petroleum industry from emerging economies needs to be undertaken to broaden its scope and applicability.

Studies samples of different used lubricating oils. Details how their physico‐chemical characteristics were determined by the use of modern instrumental analytical techniques; and how different standard separation techniques were used to separate the unused base oil and other components from the collected samples for characterization. Discusses the different re‐refining procedures available in the literature and highlights the merits and demerits of different re‐refining techniques. Concludes that re‐refining of used oil will conserve resources and help to preserve the environment.

Presents a methodology for calculating the availability of a refining system in a sugar plant. The refining system consists of a number of subsystems including a filter, heating sulphitor and clarifier, each having series and parallel elements. The mathematical modelling of the failures and repairs of the subsystems is based on the birth and death process and the use of Chapman‐Kolmogorov equations. During the analysis of an actual sugar plant, it has been found that the clarifier unit of the refining system is the most critical component and requires immediate corrective action. Other critical components included are: filter and sulphonation units.

This study aims to examine whether US oil and gas companies engaged in earnings management during the 2011 Arab Spring, which resulted in significant increases in both crude oil and gasoline prices.

Following a similar research methodology from prior research, this study tests the existence of earnings management based on discretionary total accruals, current accruals and non-current accruals to determine whether both large petroleum refining firms and relatively small oil and gas-producing firms, jointly and separately, lowered reported earnings.

The results show that, overall, US oil and gas companies as a group engaged in income-decreasing earnings management during the Arab Spring. The results seem to support the political cost hypothesis. However, further analyses indicate that the results are driven by abnormal income-decreasing accruals of the relatively small oil and gas-producing firms, which are politically less sensitive.

The findings suggest that there may be other non-political cost incentives, such as income smoothing, for the relatively small oil and gas-producing firms managing earnings downward during periods of large oil price increases. However, the possibility for firms with reversals of income-increasing activity from other quarters is not ruled out.

This study not only is the first empirical study of earnings management by oil and gas companies during the Arab Spring, but also contributes to extant earnings management literature regarding political cost hypothesis, which still remains a major concern for US oil and gas companies.

This paper aims to analyse the key trends in oil delivery and production and evaluate the capacities of crude oil transportation systems in the Western European region.

To meet these goals, qualitative data analysis was used to assess the contribution of countries in the region to the total crude oil production and delivery, the changes in concentration of crude oil deliveries and refineries’ capacities, the capabilities of the regional crude oil transportation system and the trends in crude oil supplies and processing from 2005 to 2015.

The study established that from 2013 to 2015 oil supply to the region’s refineries increased and generated additional stress on the transportation and refining infrastructure.

This study examined the aggregate values of crude oil production, crude oil deliveries and refining capacities. In practice, different refineries are set to process certain types of crude oil. It is possible to use the described approach with a certain crude oil grade.

When developing the programmes for crude oil supply to refineries, it is vital to take into account the capacities of refineries and the capabilities of the crude oil transportation systems.

The study suggests that the region’s infrastructure has the necessary reserves to operate for the next few years without additional investments.

Current research topics in relation to health information searching focus on challenges faced by health consumers and domains used to perform the health search. Health consumers may not be capable of successfully searching for a health task due to limited medical knowledge. As such search assisting features provided on health domains are important in assisting health consumers during a search session. The purpose of this paper is to perform a preliminary exploratory research study to understand if search assisting features are visible to searchers and the usage of search assisting features when searching on a personal health task.

A convenience sampling method in a university setting and an observational type study was used. MedlinePlus is used as the search domain for this research study. While participants of this research study were first time users of MedlinePlus, they were not first time medical searchers.

Results of this research study indicate health consumers do not utilize search assisting features when searching for a personal health task. This is because health consumers are comfortable with their search skills. In other cases health consumers found the search assisting features irrelevant or had no confidence in the search assisting features presented. Key contributions of this research study indicate health consumers do not utilize search assisting features when searching for a personal health task. This is because health consumers are comfortable with their search skills. In other cases health consumers found the search assisting features irrelevant or had no confidence in the search assisting features presented.

Results of this research study has implications for health domain and human computer designers in relation to the development of specialized search assisting features and the placement of these features. Theoretical contributions indicate health searchers use search assisting features minimally when searching on a personal health task.

Results of this research study indicate health consumers do not utilize search assisting features when searching for a personal health task. This is because health consumers are comfortable with their search skills. In other cases health consumers found the search assisting features irrelevant or had no confidence in the search assisting features presented.