Streamlining Digital Modeling and Building Information Modelling (BIM) Uses for the Oil and Gas Projects

The oil and gas industry is a technology-driven industry. Over the last two decades, it has heavily made use of digital modeling and associated technologies (DMAT) to enhance its commercial capability. Meanwhile, the Building Information Modelling (BIM) has grown at an exponential rate in the built environment sector. It is not only a digital representation of physical and functional characteristics of a facility, but it has also made an impact on the management processes of building project lifecycle. It is apparent that there are many similarities between BIM and DMAT usability in the aspect of physical modeling and functionality. The aim of this study is to streamline the usage of both DMAT and BIM whilst discovering valuable practices for performance improvement in the oil and gas projects. To achieve this, 28 BIM guidelines, 83 DMAT academic publications and 101 DMAT vendor case studies were selected for review. The findings uncover (a) 38 BIM uses; (b) 32 DMAT uses and; (c) 36 both DMAT and BIM uses. The synergy between DMAT and BIM uses would render insightful references into managing efficient oil and gas’s projects. It also helps project stakeholders to recognise future investment or potential development areas of BIM and DMAT uses in their projects

A Hybrid OSM–BIM Framework for Construction Management System

In this study, an in-depth evaluation was conducted to determine the influences of interactions between off-site manufacturing (OSM) and building information modelling (BIM) on overall project performance. Structural equation modelling method was adopted to examine the complex relationships among research variables based on survey data. The results showed that a systematic adoption of the interactions as a mediator between OSM and BIM, significantly enhanced the overall project performance as measured by key productivity indicators

From Conventional to IT Based Visual Management:A Conceptual Discussion for Lean Construction

Lean construction and construction automation are two of the important efforts to improve the performance of the construction industry. However, apart from a small number of scholarly articles and implementation prototypes, the lean and digital construction movements seem to be largely running independent of each other. This paper aims at exploring those connections between Visual Management (VM), a fundamental information management strategy in lean construction, and emerging technologies, demonstrating the synergy between the two concepts over potential implementation scenarios and establishing their conceptual connections in construction. Consequently, the hypothesis of the paper is there is a significant synergy between emerging technologies (construction automation) and visual/sensory information management strategies (Visual Management) in lean construction. The hypothesis is explored by (i) discussing how emerging technologies can support conventional VM tools and techniques and (ii) presenting a conceptual architecture to integrate emerging technologies, such as the Internet of Things, Augmented Reality, context aware and mobile computing, the use of drones and quadcopters, auto identification (AutoID) systems and laser scanning, to support lean construction and VM on construction sites. Futuristic scenarios for the implementation of the context-aware VM in application areas such as production control, production levelling, quality control, project planning and control, plant maintenance and safety control are examined from a lean construction perspective, alongside the presentation of a higher-level implementation architecture to integrate various VM and emerging technology components to support the implementation in a holistic picture. The use of such scenario based approach was found useful in summarising the technology components, their interconnections and possible implementation areas in relation with VM. This paper demonstrates how the integration of conventional and IT based visual management approaches is within reach and holds the potential to enhance the construction and maintenance phase of complex, large-scale construction projects by reviewing the synergies between operational VM concepts and IT

Laser Scanner Technology

Laser scanning technology plays an important role in the science and engineering arena. The aim of the scanning is usually to create a digital version of the object surface. Multiple scanning is sometimes performed via multiple cameras to obtain all slides of the scene under study. Usually, optical tests are used to elucidate the power of laser scanning technology in the modern industry and in the research laboratories. This book describes the recent contributions reported by laser scanning technology in different areas around the world. The main topics of laser scanning described in this volume include full body scanning, traffic management, 3D survey process, bridge monitoring, tracking of scanning, human sensing, three-dimensional modelling, glacier monitoring and digitizing heritage monuments

Applications of ISES for vegetation and land use

Remote sensing relative to applications involving vegetation cover and land use is reviewed to consider the potential benefits to the Earth Observing System (Eos) of a proposed Information Sciences Experiment System (ISES). The ISES concept has been proposed as an onboard experiment and computational resource to support advanced experiments and demonstrations in the information and earth sciences. Embedded in the concept is potential for relieving the data glut problem, enhancing capabilities to meet real-time needs of data users and in-situ researchers, and introducing emerging technology to Eos as the technology matures. These potential benefits are examined in the context of state-of-the-art research activities in image/data processing and management

Technologies for safe and resilient earthmoving operations: A systematic literature review

Resilience engineering relates to the ability of a system to anticipate, prepare, and respond to predicted and unpredicted disruptions. It necessitates the use of monitoring and object detection technologies to ensure system safety in excavation systems. Given the increased investment and speed of improvement in technologies, it is necessary to review the types of technology available and how they contribute to excavation system safety. A systematic literature review was conducted which identified and classified the existing monitoring and object detection technologies, and introduced essential enablers for reliable and effective monitoring and object detection systems including: 1) the application of multisensory and data fusion approaches, and 2) system-level application of technologies. This study also identified the developed functionalities for accident anticipation, prevention and response to safety hazards during excavation, as well as those that facilitate learning in the system. The existing research gaps and future direction of research have been discussed