Case Study: Using Managed Pressure Drilling and Oil Based Mud to Efficiently Drill an Extremely Thick and Highly Fractured Carbonate Sequence Under an Extremely Thick and Highly Sensitive Laminated Shale

2015 ◽  
Author(s):  
Harold E. McGowen
Author(s):  
José Ángel Gimeno ◽  
Eva Llera Sastresa ◽  
Sabina Scarpellini

Currently, self-consumption and distributed energy facilities are considered as viable and sustainable solutions in the energy transition scenario within the European Union. In a low carbon society, the exploitation of renewables for self-consumption is closely tied to the energy market at the territorial level, in search of a compromise between competitiveness and the sustainable exploitation of resources. Investments in these facilities are highly sensitive to the existence of favourable conditions at the territorial level, and the energy policies adopted in the European Union have contributed positively to the distributed renewables development and the reduction of their costs in the last decade. However, the number of the installed facilities is uneven in the European Countries and those factors that are more determinant for the investments in self-consumption are still under investigation. In this scenario, this paper presents the main results obtained through the analysis of the determinants in self-consumption investments from a case study in Spain, where the penetration of this type of facilities is being less relevant than in other countries. As a novelty of this study, the main influential drivers and barriers in self-consumption are classified and analysed from the installers' perspective. On the basis of the information obtained from the installers involved in the installation of these facilities, incentives and barriers are analysed within the existing legal framework and the potential specific lines of the promotion for the effective deployment of self-consumption in an energy transition scenario.


2020 ◽  
Author(s):  
Juan Jose Arellano ◽  
Javier Enrique Pozzo Huerta ◽  
Rachel Johnson ◽  
Isabel Poletzky ◽  
Bikram Kumar

2020 ◽  
Vol 10 (12) ◽  
pp. 4180 ◽  
Author(s):  
Komal Florio ◽  
Valerio Basile ◽  
Marco Polignano ◽  
Pierpaolo Basile ◽  
Viviana Patti

The availability of large annotated corpora from social media and the development of powerful classification approaches have contributed in an unprecedented way to tackle the challenge of monitoring users’ opinions and sentiments in online social platforms across time. Such linguistic data are strongly affected by events and topic discourse, and this aspect is crucial when detecting phenomena such as hate speech, especially from a diachronic perspective. We address this challenge by focusing on a real case study: the “Contro l’odio” platform for monitoring hate speech against immigrants in the Italian Twittersphere. We explored the temporal robustness of a BERT model for Italian (AlBERTo), the current benchmark on non-diachronic detection settings. We tested different training strategies to evaluate how the classification performance is affected by adding more data temporally distant from the test set and hence potentially different in terms of topic and language use. Our analysis points out the limits that a supervised classification model encounters on data that are heavily influenced by events. Our results show how AlBERTo is highly sensitive to the temporal distance of the fine-tuning set. However, with an adequate time window, the performance increases, while requiring less annotated data than a traditional classifier.


2006 ◽  
Author(s):  
Peng Chen ◽  
Xi Wang ◽  
Xugang Wang ◽  
Junhe xin ◽  
Yuxiang Wei ◽  
...  

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