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بەڕێوەچوونی سمینار

لە دڕێژەی کار و چالاکییەکانی فاکەڵتییەکەمان، ڕۆژی یەکشەممە ٢٠٢١/٥/٨، مامۆستای فاکەڵتییەکەمان " د. سەلام جەبار حسێن" سمینارێک بە شێوەی ئونلاین بە ناونیشانی:
Modern approaches to digitalization in the oil and gas industry "The use of machine learning and data scienc
پێشکەش بە ئامادە بوونی ژمارەیەکی بەرچاو لە مامۆستایان کرا.
پوختە:
The presentation has focused on the modern approaches of digitalization in the oil and gas industry. It is included the definition of the term “digitalization” and the prospective changes in the job description related to the digital applications. The technologies involved in the digital applications such as machine learning, artificial intelligence, cloud computing, cognitive computing, robotics, digital twin, and 3D printing have been explained very briefly in the presentation. The digital applications in the upstream sector of the oil and gas industry have been given the main attentions. The expected impacts of the digitalization on different areas of the upstream business operations such as drilling, field development, production, and reservoir modeling are demonstrated by stating the expected growing in the number of digital applications used in these areas.
More details are given, in the presentation, for the digital applications of the automation and robotics such as the RDS (robotic drilling systems). It is believed that the commercial applications of these systems in the drilling process could be very soon. As it concerns to the porous media, the advanced analytics and modelling applications have been explained and two prototypes are presented. The first is the highly sensitive sensors developed by Silicon Microgravity and used by BP (British Petroleum) for characterizing the oil layers accurately and determining the oil initial in place. The second is represented by deploying the cognitive computing by Repsol for minimizing the failure in drilling oil and gas wells. The presentaion has covered also the applications of the digitalization in the “predictive maintenance” wherein the failures and incidents could be prevented before they take place. A real-life example for the predictive maintenance is taken from ADNOC (Abu Dhabi National Oil Company).
More real examples of currently used digitalized applications in different upstream sections of the petroleum industry are demonstrated while the expected added values created by the digitalization for the industry and communities and the possible changes either in the operational costs, maintenance patterns, workforce safety, environmental impacts, job positions and the required skills and experiences during digitalization era are explained. The presentaion has emphasized that the expected added value of the digital transformation during the next decades will be very big wherein the upstream petroleum industry may have the biggest share 60% of the total investments while the midstream industry may have only 10%. There will be also a lot of challenges represented by the fact that the petroleum industry has not yet made the necessary shift in mindset to embrace the digitalization potential. Moreover, the digitalization era may require new revolutionized regulations especially in terms of sharing the data and changing the structures of the organizations as well as the workforces.
Finally, the presentation has summed up with the potentials of the digitalization in the oil and gas industry, the challenges that could hinder the move to the new digital era, and the recommendation for easy digital transformation.