3,455 research outputs found

    Linking design and manufacturing domains via web-based and enterprise integration technologies

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    The manufacturing industry faces many challenges such as reducing time-to-market and cutting costs. In order to meet these increasing demands, effective methods are need to support the early product development stages by bridging the gap of communicating early design ideas and the evaluation of manufacturing performance. This paper introduces methods of linking design and manufacturing domains using disparate technologies. The combined technologies include knowledge management supporting for product lifecycle management (PLM) systems, enterprise resource planning (ERP) systems, aggregate process planning systems, workflow management and data exchange formats. A case study has been used to demonstrate the use of these technologies, illustrated by adding manufacturing knowledge to generate alternative early process plan which are in turn used by an ERP system to obtain and optimise a rough-cut capacity plan

    Using Virtual Reality Technology in Oil and Gas Industry

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    This article introduces the research of virtual reality technologies used in the oil and gas industry. The industry is so vast that the technologies used there are radically different. Various aspects of oil and gas production were considered, such as geodata modeling, real-time production visualization technology. The problems and possible solutions for translating CAD models into virtual reality applications are indicated. Also, using virtual reality technology, can increase the speed of work and reduce the risk of errors, which is extremely important in the oil and gas industry. As well as the benefits of learning and using virtual reality to improve learning and understanding of production processes

    Virtual reality training for occupational risk prevention: application case in geotechnical drilling works

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    The construction industry is considered one of the most dangerous industries globally. The construction site is a complex environment where diverse teams of people interact with large machinery. In addition, the lack of safety culture on the job site and deficiencies in safety training increase these problems. Within the construction works, geotechnical drilling worksites involve high-powered machinery, and workers are exposed to different risks when using them. Despite these risks, safety training courses on these topics are not specialized. Most of the training courses are generic in occupational hazards, failing to address in detail the work dynamics and risks associated with geotechnical work, where heavy machinery is a fundamental factor. There is a lack of adequate learning content specific to drilling works, meaning the heavy machinery, how to use it and how to prevent accidents due to these drilling tasks are poorly understood. This research investigates the risks associated with geotechnical drilling work and explores the potential of virtual reality (VR) to simulate immersive work environments, focusing on interaction with drilling machinery. A geotechnical drilling machine modelled 3D and integrated into a realistic VR environment. The machinery motions and the different tasks of the work team were modelled. The simulation allows a worker to interact in a working environment, identify risks and prevent accidents, and, moreover, be trained in best practices for machinery usage, according to previous real-world experiences from senior workers.This research has been supported by the CONICYT through its economic support of Felipe Muñoz, beneficiary of a predoctoral grant (CONICYT-PCHA/International Doctorate/2019-72200306), ‘DI emergente PUCV 2022’project ofthe VicerrectorĂ­a de InvestigaciĂłn y estudios avanzados-Pontificia Universidad CatĂłlica de ValparaĂ­so (039.350/2022) and by the Ministry of Science, Innovation and Universities of Spain (MICIU) through the BIMI- oTICa project (RTC-2017-6454-7). The authors also acknowledge financial support from the Spanish Ministry of Economy and Competitiveness, through the ‘Severo Ochoa Programme for Centres of Excellence in R&D (CEX2018-000797-S)’. The authors declare their compliance with all provisions of the Authors’ Duties according to the WIT Press Publication Ethics and Malpractice Statement.Peer ReviewedPostprint (published version

    Value of Digitizing Well Interventions and its impact on business and working processes

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    The oil and gas industry continuously enters a phase with new challenges and new ways of thinking, the rise of a digitalization revolution can be the key answer to creating new opportunities to overcome the industry's challenges. The “new reality’’ of low oil prices, Covid-19 still threatening, and the increased focus on climate and environmental considerations globally, has led to a shift in the mindset of the industry; from an increased-production focus to a cost-efficiency focus while maximizing the productivity, minimizing operating costs and sustain operating flexibility. Accomplishing this new way of working may perhaps require a digital transformation. There has generally been little technology development and digitization in the well intervention sector compared with the drilling sector. Real-time data, onshore support centers, and automation have long been used in the drilling sector. This master thesis introduces an innovative project that is being implemented by ALTUS Intervention. Digital Well Intervention (DWI) is a digital platform that digitizes large parts of today's way of working and how ALTUS Intervention is delivering well intervention services. This master's thesis studies how DWI will affect the work process in ALTUS Intervention. The thesis will provide concrete examples of how DWI improves work processes both internally and externally. The project is still in the planning phase, and thus, concrete proposals are given for the further development of DWI. Furthermore, it is studied how DWI can provide value creation. This is based on several case studies with a similar approach as the DWI platform that has been shown to be a great approach to value creation

    Enhancing the drilling efficiency through the application of machine learning and optimization algorithm

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    Acknowledgment We would like to acknowledge the collaborative efforts of SONATRACH Group, and the universities involved in this research (Université de Boumerdes, Université de laghouat and University of Aberdeen).Peer reviewedPublisher PD
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