57 research outputs found
Ichthyofauna, fish supply and fishermen activities on the mid-Tocantins River, Maranhão State, Brazil
Fungos micorrízicos arbusculares afetando a produção de mudas de pinhão-manso na região sul do Estado de Tocantins, Brasil
Apoio Matricial no SUS Campinas: análise da consolidação de uma prática interprofissional na rede de saúde
Correlations of condition factor and gonadosomatic, hepatosomatic and lipo-somatic relations of Leptodactylus macrosternum (ANURA: Leptodactylidae) in the Brazilian Semi-arid
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
FUNGOS MICORRIZICOS ARBUSCULARES NO DESENVOLVIMENTO DE MUDAS DE OLIVEIRA (OLEA EUROPAEA L.) CULTIVADAS NO SUL DE MINAS GERAIS
Agronomic and Economic Efficiency of Common-Bean Inoculation with Rhizobia and Mineral Nitrogen Fertilization
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