Oil and gas pipeline network vulnerability assessment using geographic information systems

2008 ◽  
Vol 48 (2) ◽  
pp. 484
Author(s):  
John Prabaharan
Author(s):  
Ana Paula Beber Veiga ◽  
Ramatys Stramieri Silva ◽  
Gilberto Martins

ABSTRACT Biomethane can readily replace fossil fuels including natural gas, which has similar physical and chemical properties. In Brazil, municipal solid waste is predominantly disposed of in landfills. Landfill gas is mostly employed for electricity generation, but still at low levels when compared to the existing potential. Production of biomethane from landfill gas may be an alternative to exploit the existing potential, but Brazil’s pipeline network is rather limited and concentrated along the country’s coast. In this context, the research sought to identify the locational viability of using landfill gas to produce biomethane and injecting it into pipelines, considering the available potential and its proximity to Brazil’s existing pipeline network. The QGis software was used to integrate the information. Territorial arrangements with a biomethane production capacity of more than 15,000 Nm3 day−1 and located up to 50 km from the pipeline network were considered feasible. The research estimated a potential production equivalent to 3,407,027 Nm3 day−1 of biomethane from landfills in Brazil. This potential corresponds to 6% of country’s natural gas consumption in 2019 and is almost 32 times greater than current production of biomethane from all substrates used with this purpose in that year. The results indicate the suitability of using geographic information systems to identify regions that can benefit from the production of biomethane from landfill gas using the existing natural gas pipelines as an alternative to the electricity generation and provides relevant subsidies to the formulation of more efficient public policies in both the sanitation and energy sectors.


Author(s):  
Larry C. Decker

Companies that operate large and complex gas pipeline systems face the difficult task of maintaining those assets while complying with code and continuing to operate. Continuous system additions and changes, implemented by diverse groups across the company, result in tedious data driven studies to ensure that operating pressure strictly complies with code. This document presents a model and an approach that utilizes Geographic Information Systems (GIS) data to accurately and efficiently calculate a code-compliant Maximum Allowable Operating Pressure (MAOP), for systems that have thousands of miles of wide-ranging pipe segments and components.


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