The concept of digital twin used to investigate geometrical variations in the production of pipe spools

Fernandes, Thiago Linhares; Baldo, Crhistian Raffaelo; Donatelli, Gustavo Daniel

doi:10.1016/j.aime.2021.100054

Cited by 7 publications

(3 citation statements)

References 17 publications

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“…Companies within this industry must reshape their business models, strategies, and management practices in response to the digital revolution. With the rise of data analytics, artificial intelligence, robotics, and the Internet of Things, the way resources are explored, extracted, and managed in the oil and gas sector is paradigm shifting (Fernandes et al, 2021). In today's landscape, the focus has shifted from quantity to quality, pushing oil companies to embrace digital transformation for increased efficiency, reduced costs, and enhanced operations throughout the value chain.…”

Section: Oil Industrymentioning

confidence: 99%

The Digital Transformation Model for Innovative Marketing Maturity in the Oil Companies

Al-lami,

Shirkhodaie,

Safari

2024

RGSA

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Purpose: The manufacturing industry has been at the cutting-edge of technology advancements, which has Objectives: The objective of this research is to examine digital transformation within the oil and gas industry, focusing on the transition to renewable energy sources and the role of innovative technologies. It aims to explore how digital technology transforms operational strategies and the importance of data utilization, brand recognition, and ethical data practices in this transformation process. Methods: This study employs a qualitative investigation methodology to delve into digital transformation in the oil and gas sector. Through interviews with industry decision-makers, the research gathers insights into the challenges and opportunities faced by firms adopting digital solutions and strategies. Results: The findings of the research highlight the transformative nature of digital technology within the oil and gas industry. They underscore the significance of managing internal and external boundaries during the transformation process. Key factors such as data utilization, brand recognition, and ethical data practices emerge as crucial for successful digital transformation. The study provides empirically grounded directions for developing frameworks to guide digital transformation practices in the industry. Conclusion: In conclusion, this research contributes to the understanding of digital transformation in the oil sector. By shedding light on the challenges and opportunities inherent in adopting digital solutions, the study aims to facilitate sustainable development and enhance innovation potential in the energy landscape. The findings offer valuable insights for firms navigating the complexities of digital transformation and pave the way for future research in this area.

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Section: Oil Industrymentioning

confidence: 99%

The Digital Transformation Model for Innovative Marketing Maturity in the Oil Companies

Al-lami,

Shirkhodaie,

Safari

2024

RGSA

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“…The creation of digital twins that virtually replicate the attributes of pipe spools, extensively found in the oil and gas industry, was reported by Fernandes et al [21]. Using the VisVA TM -Visualization Variation Systems Analysiscomputer-aided engineering (CAE) software, the digital twins were explored in the design stage of the development of pipe spools to estimate and understand the dimensional variations and to predict the behaviour of their subsets when joining them to each other.…”

Section: Introductionmentioning

confidence: 99%

Development of An Open-Source Computational Tool for the Generation of Deviated Point Clouds from Nominal Models

Neto

Silva

Leão

et al. 2022

Digital Manufacturing Technology

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Design for dimensional control refers to the engineering field concerned with variation management in different stages of product development. One of the key elements within the framework of design for dimensional control is the effective use of computational techniques for assisting the designer in defining the dimensional tolerances of mechanical parts. Despite the existence of commercial suites for computer-aided tolerancing, in general, they cannot be afforded by small businesses such as job shops and measurement service providers or be used in engineering courses in emerging economies. To bridge this gap, an open-source computational tool has been developed to assist the user with the specification of dimensional and geometrical controls. The proposed tool generates a point cloud from the nominal computer-aided design (CAD) model of the part and applies known virtual deviations to that original point cloud. Based on the modified/deviated point cloud, the user can perform virtual what-if analysis and improve the tolerancing process. This paper describes the implementation of the proposed method and presents the results of preliminary tolerance studies of some real components of the Sirius particle accelerator.

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“…Вопросу цифровых двойников на месторождении посвящено множество научных исследований [8][9][10][11][12]. В настоящей статье представлена методика оценки и минимизации электропотребления нефтегазового актива.…”

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The calculation algorithm of oil and gas production enterprise energy efficiency indicators

Arestova

Ulyanov

Frolov

2022

«Izvestiya vysshikh uchebnykh zavedenii. PROBLEMY ENERGETIKI»

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THE PURPOSE. The main purpose of the study is to develop the calculation algorithm of energy efficiency indicators. To develop an algorithm, it is necessary to consider the features of the power supply system of the oil and gas production enterprise. Then, the power and electricity balance calculation algorithm should be designed to evaluate the share of the technological processes’ consumption, analyze losses, and determine the source of imbalance. The assessment of energy efficiency indicators will require adaptation of the parameter’s identification method for rotating electrical machines in operating modes. To calculate the specific equipment energy, it is necessary to use power tracing in the algorithm. The final stage is to develop a visualization of a software prototype for monitoring and control energy efficiency indicators of an oil and gas production enterprise.METHODS. The equipment parameters identification method based on actual measurements is used for designing a mathematical model. To calculate the steady-state, the nodal-voltage method is used in couple with an addressing matrix for tracing power flows.RESULTS. The paper proposes an algorithm for calculating energy efficiency indicators of equipment for an oil and gas production enterprise. The algorithm is based on the processing and analysis of actual data from the electricity metering devices installed at the enterprise. Analysis of the power consumption information together with the oil production indicators will reveal the most efficient operating mode of the equipment. The calculating algorithm for the specific electricity consumption is considered in the example of a typical hierarchy of metering devices at a field. Further, the paper discusses the possibility of applying the targeting flow distribution principle for reducing power losses. A parameters identification technique is presented for multi equipment nodes to assess energy efficiency and monitor operating parameters.CONCLUSION. The algorithm considered in the paper was introduced into the information system of the production control center at the field as an additional module for assessing energy efficiency. The large deviation of the indicator's values from the specified ones is messaging about the equipment's normal mode violations. It allows creating an optimal schedule of organizational and technical measures to regulate energy consumption and improve the energy efficiency of the enterprise.

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The concept of digital twin used to investigate geometrical variations in the production of pipe spools

Cited by 7 publications

References 17 publications

The Digital Transformation Model for Innovative Marketing Maturity in the Oil Companies

The Digital Transformation Model for Innovative Marketing Maturity in the Oil Companies

Development of An Open-Source Computational Tool for the Generation of Deviated Point Clouds from Nominal Models

The calculation algorithm of oil and gas production enterprise energy efficiency indicators

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