Meza Edwin Benito Mitacc, Souza Dalton Garcia Borges de, Copetti Alessandro, Sobral Ana Paula Barbosa, Silva Guido Vaz, Tammela Iara, Cardoso Rodolfo
Institute of Science and Technology, Fluminense Federal University, Rio das Ostras 28895-532, Brazil.
Sensors (Basel). 2024 Oct 6;24(19):6457. doi: 10.3390/s24196457.
The digital twin (DT), which involves creating a virtual replica of a physical asset or system, has emerged as a transformative set of tools across various industries. In the oil and gas (O&G) industry, the development of DTs represents a significant evolution in how companies manage complex operations, enhance safety, and optimize decision-making processes. Despite these significant advancements, the underlying tools, technologies, and frameworks for developing DTs in O&G applications remain non-standardized and unfamiliar to many O&G practitioners, highlighting the need for a systematic literature review (SLR) on the topic. Thus, this paper offers an SLR of the existing literature on DT development for O&G from 2018 onwards, utilizing Scopus and Web of Science Core Collection. We provide a comprehensive overview of this field, demonstrate how it is evolving, and highlight standard practices and research opportunities in the area. We perform broad classifications of the 98 studies, categorizing the DTs by their development methodologies, implementation objectives, data acquisition, asset digital development, data integration and preprocessing, data analysis and modeling, evaluation and validation, and deployment tools. We also include a bibliometric analysis of the selected papers, highlighting trends and key contributors. Given the increasing number of new DT developments in O&G and the many new technologies available, we hope to provide guidance on the topic and promote knowledge production and growth concerning the development of DTs for O&G.
数字孪生（DT）涉及创建物理资产或系统的虚拟复制品，已成为各行业中具有变革性的一系列工具。在石油和天然气（O&G）行业，数字孪生的发展代表了公司管理复杂运营、提高安全性以及优化决策过程方式的重大演变。尽管取得了这些重大进展，但在石油和天然气应用中开发数字孪生的基础工具、技术和框架仍未标准化，许多石油和天然气从业者对此也并不熟悉，这凸显了对该主题进行系统文献综述（SLR）的必要性。因此，本文利用Scopus和科学网核心合集，对2018年以来有关石油和天然气数字孪生开发的现有文献进行了系统文献综述。我们全面概述了这一领域，展示其发展历程，并突出该领域的标准做法和研究机会。我们对98项研究进行了广泛分类，根据其开发方法、实施目标、数据采集、资产数字化开发、数据集成与预处理、数据分析与建模、评估与验证以及部署工具对数字孪生进行分类。我们还对所选论文进行了文献计量分析，突出了趋势和主要贡献者。鉴于石油和天然气领域新的数字孪生开发数量不断增加以及可用的众多新技术，我们希望为该主题提供指导，并促进有关石油和天然气数字孪生开发的知识生产和增长。
