Streamlining Digital Modeling and Building Information Modelling (BIM) Uses for the Oil and Gas Projects

The oil and gas industry is a technology-driven industry. Over the last two decades, it has heavily made use of digital modeling and associated technologies (DMAT) to enhance its commercial capability. Meanwhile, the Building Information Modelling (BIM) has grown at an exponential rate in the built environment sector. It is not only a digital representation of physical and functional characteristics of a facility, but it has also made an impact on the management processes of building project lifecycle. It is apparent that there are many similarities between BIM and DMAT usability in the aspect of physical modeling and functionality. The aim of this study is to streamline the usage of both DMAT and BIM whilst discovering valuable practices for performance improvement in the oil and gas projects. To achieve this, 28 BIM guidelines, 83 DMAT academic publications and 101 DMAT vendor case studies were selected for review. The findings uncover (a) 38 BIM uses; (b) 32 DMAT uses and; (c) 36 both DMAT and BIM uses. The synergy between DMAT and BIM uses would render insightful references into managing efficient oil and gas’s projects. It also helps project stakeholders to recognise future investment or potential development areas of BIM and DMAT uses in their projects

Prediction Models for Dynamic Demand Response Requirements, Challenges, and Insights

As Smart Grids move closer to dynamic curtailment programs, Demand Response ( DR) events will become necessary not only on fixed time intervals and weekdays predetermined by static policies, but also during changing decision periods and weekends to react to real-time demand signals. Unique challenges arise in this context vis-a-vis demand prediction and curtailment estimation and the transformation of such tasks into an automated, efficient dynamic demand response ( (DR)-R-2) process. While existing work has concentrated on increasing the accuracy of prediction models for DR, there is a lack of studies for prediction models for (DR)-R-2, which we address in this paper. Our first contribution is the formal definition of (DR)-R-2, and the description of its challenges and requirements. Our second contribution is a feasibility analysis of very-short-term prediction of electricity consumption for (DR)-R-2 over a diverse, large-scale dataset that includes both small residential customers and large buildings. Our third, and major contribution is a set of insights into the predictability of electricity consumption in the context of (DR)-R-2. Specifically, we focus on prediction models that can operate at a very small data granularity ( here 15-min intervals), for both weekdays and weekends - all conditions that characterize scenarios for (DR)-R-2. We find that short-term time series and simple averaging models used by Independent Service Operators and utilities achieve superior prediction accuracy. We also observe that workdays are more predictable than weekends and holiday. Also, smaller customers have large variation in consumption and are less predictable than larger buildings. Key implications of our findings are that better models are required for small customers and for non-workdays, both of which are critical for (DR)-R-2. Also, prediction models require just few days' worth of data indicating that small amounts of historical training data can be used to make reliable predictions, simplifying the complexity of big data challenge associated with (DR)-R-2

Using “Yams” for Enterprise Knowledge Sharing among Knowledge Workers from the Perspective of a Task Categorisation-Knowledge Sharing Systems Fit

Part 2: Key Competencies, Learning and Life TransitionsInternational audienceEmerging digital technologies play a key role in the development of enterprises. Their uses demand a transition on the part of knowledge workers, however. Web 2.0 is an emerging communication technology that supports collaborative knowledge sharing in corporate learning paradigms, changing tailor-made, expensive and high learning curve digital systems to simple but well-accepted ones [1, 2]. These platforms revolutionise how participants share, communicate and create knowledge in a corporate setting [3]. The use of Web 2.0 to support Knowledge Sharing (KS) has been extensively investigated [4, 5]. Studies that use a task-technology fit model on systems such as decision support [6] and eLearning [7] demonstrate that a good fit between tasks and digital technologies is able to improve performance of knowledge workers. This research reports the outcomes on the fit between task categorization and knowledge sharing systems. The task categories and Web 2.0 functions used in knowledge sharing practices were consistent. The outcomes highlighted that intuitive design, ease of use and a low learning curve were able to elicit both tacit and explicit organizational knowledge. Text analysis demonstrated that new knowledge was created, exchanged and shared. The study concluded that knowledge sharing activity and the fit between Web 2.0 functions and task categories were consistent and significant

Cultural expertise in asylum granting procedure in Greece: Evaluating the experiences and the prospects

The paper first, indicates the references made by Greek legal order to different kind of cultural experts. Adopting a broader sociolegal definition of cultural expertise, it also refers to “cultural mediator,” a notion which has been introduced by the European Fund for the Integration of third-country nationals which launched the first educational programs for their training in Greece. The so-called cultural mediators should facilitate communication between third-country nationals and Greek Administration, the respect of their rights and thus in long term their integration. Secondly, the chapter exposes the experiences made by Asylum Service employees and lawyers of NGOs involved in the granting or refusing asylum proceedings. It will try to show how cultural mediation for asylum seekers works in action by exploring how do lawyers and officers involved in the process of asylum granting describe it. They also give their opinion about the training prerequisites for someone to work as a mediator and they refer to some common topics why cultural experts are mostly needed. Thirdly, the chapter presents the joint arguments of Greek anthropological theory and the political theory about EU regarding the importance of the effort to understand, to respect, and to integrate the culturally and politically different refugees. Cultural expertise may help Greek State and Society in learning how to respect the principle of equality and difference. At the same time, it may serve as a venue to solidify EU as a multiethnic political community and a cosmopolitan legal order. © 2019 by Emerald Publishing Limited All rights of reproduction in any form reserved