Risk-based asset management: automated structural reliability assessment of geographically distributed pipeline networks for gas and water in the Netherlands

Abspoel, L.; Courage, W.M.G.; Dabekaussen, Willem; Bruijn, Renée de; Kruse, Henk; Wiersma, Ane; Hijma, M.P.; Heuvel, Frank Van den; Broeck, Wouter Van den

doi:10.1080/15732479.2018.1437641

Cited by 6 publications

(4 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It may be beneficial to detect faults, corrosion, and corrosion predictions in pipelines using pipeline monitoring methods. In particular, the transition to smart systems such as the Internet of Things (IoT), big data, system of systems (SoS), and the use of data management models can play an effective role in providing these benefits [101][102][103]. There is a need to establish decision support systems within organizations in order to reduce the frequency of failures and reduce the lifecycle costs of pipelines.…”

Section: Systematic Literature Review Findingsmentioning

confidence: 99%

“…Moreover, the exploration of decision support mechanisms for physical asset management suggests a growing acknowledgment of the need for sophisticated tools that can handle complex data and assist in making informed decisions [90][91][92][93][94][95][96]. This is particularly relevant given the advancement of technologies that can potentially transform traditional asset management practices [100][101][102][103].…”

Section: Energy Markets 2%mentioning

confidence: 99%

See 1 more Smart Citation

Bridging Geo-Data and Natural Gas Pipeline Design Standards: A Systematic Review of BIM-GIS Integration for Natural Gas Pipeline Asset Management

Demir,

Yomralioglu

2024

Energies

View full text Add to dashboard Cite

In today’s world, effective management and the use of spatial data are of great importance in many sectors. Industries such as land management, asset management, and infrastructure management are areas where spatial data are heavily utilized. Advanced technologies such as Geographic Information Systems (GISs) and Building Information Modeling (BIM) are used in the processes of collecting, analyzing, and managing geographically enabled data (geo-data). These technologies enable the effective processing of large datasets, improve decision-making processes based on geographic information, and facilitate more efficient collaboration across sectors. This study conducts an in-depth examination of the existing literature on asset management, infrastructure management, and BIM-GIS integration using bibliometric analysis and systematic literature review methods. Bibliometric analysis is employed to determine statistical values such as current research trends, frequently cited authors, most used keywords, and country performances in the relevant field. This study’s results highlight future research trends and significant gaps in the areas of asset management, infrastructure management, natural gas pipelines, and BIM-GIS integration. In particular, this study demonstrates the critical importance of asset management and BIM-GIS integration for sustainable infrastructure design, construction, and management. In this context, attention is drawn to the importance of data standardization, digitization, systematic integration, and contemporary land management requirements.

show abstract

Section: Systematic Literature Review Findingsmentioning

confidence: 99%

Section: Energy Markets 2%mentioning

confidence: 99%

Bridging Geo-Data and Natural Gas Pipeline Design Standards: A Systematic Review of BIM-GIS Integration for Natural Gas Pipeline Asset Management

Demir,

Yomralioglu

2024

Energies

View full text Add to dashboard Cite

show abstract

“…The Deltares geotechnical model D-Settlement (version 18.2, https://www.deltares.nl/en/software/d-settlement-2/) was used to predict sediment compaction (e.g., Peduto et al, 2017Peduto et al, , 2020 that may occur as a result of future loading. The D-Settlement model is an engineering tool that is widely used for geotechnical projects in a variety of geographic settings worldwide, especially where accurate settlement calculations are required to ensure public safety (e.g., Abspoel et al, 2018;Hoefsloot, 2015;Peduto et al, 2017;Peduto et al, 2020;Visschedijk & Trompille, 2009). Through its global use, the model has been calibrated, repeatedly validated, and revised as needed (the current version is 20.1).…”

Section: Geotechnical Modelingmentioning

confidence: 99%

Organic Matter Accretion, Shallow Subsidence, and River Delta Sustainability

et al. 2021

View full text Add to dashboard Cite

River deltas serve as critical nodes in the global water-energy-food nexus. They host large and rapidly growing populations (Edmonds et al., 2020) with associated economic assets, and many deltas provide important ecosystem goods and services. Thus, delta sustainability is a critical issue, and it is widely recognized that maintaining deltaic plains in the face of accelerating relative sea-level rise (RSLR) is a major priority that will become increasingly daunting in the future (e.g., Day et al., 2016;Hoitink et al., 2020;Nienhuis et al., 2020). On many deltaic plains, mineral sediment supply has decreased dramatically since the mid-twentieth century, largely due to the construction of dams, artificial levees, and other flood-control infrastructure (e.g., Giosan et al., 2014;Syvitski et al., 2005;Weston, 2014), a trend that is expected to continue in the 21st century (Dunn et al., 2019). In the Yangtze and Mississippi rivers, for example, dams have reduced the suspended sediment concentration by Abstract Globally, mineral sediment supply to deltaic wetlands has generally decreased so these wetlands increasingly rely on accretion of organic matter to keep pace with relative sea-level rise (RSLR). Because organic-rich sediments tend to be more compressible than mineral-dominated sediments, deltaic wetland strata are vulnerable to compaction and drowning. Using an unprecedented data set of almost 3,000 discrete bulk density and organic-matter measurements, we examine organic-rich facies from coastal Louisiana to quantify the thickness lost to compaction and investigate whether sediments are able to maintain sufficient volume for the associated wetlands to keep pace with RSLR. We find that organic content as well as overburden thickness and density (which together determine effective stress) strongly control sediment compaction. Most compaction occurs in the top 1-3 m and within the first 100-500 years after deposition. In settings with thick peat beds, successions up to 14 m thick have been compacted by up to ∼50%. We apply geotechnical modeling to examine the balance between elevation gained from accretion and elevation lost to compaction due to renewed sediment deposition over a 100-year timescale. Wetlands overlying mineral-dominated lithologies may support the weight of deposition and allow net elevation gain. Model results show that reintroduction of sediment to a representative Mississippi Delta wetland site will likely cause another ∼0.35-1.14 m of compaction but leave a net elevation gain of ∼0.01-1.75 m, depending on the sediment delivery rate and stiffness of underlying strata.Plain Language Summary River deltas constitute some of the most valuable but also most vulnerable environments on the planet. Their elevation right above sea level is controlled by a delicate balance between sediment deposition and compaction. If sediment delivery is reduced due to dam construction in the hinterland, for example, sedimentation rates decrease. Continued sediment compaction may prevent deltas from keeping up with sea-...

show abstract

“…However, pipeline accidents may result in catastrophic consequences [ 1 ], including injury and death, economic loss, and environmental pollution. Many risk factors may lead to or influence oil pipeline accidents during the incident evolution process [ 2 , 3 , 4 , 5 ]. Some risk factors can be controlled with a risk treatment strategy.…”

Section: Introductionmentioning

confidence: 99%

A Risk Treatment Strategy Model for Oil Pipeline Accidents Based on a Bayesian Decision Network Model

Zhang

Wang

et al. 2022

IJERPH

View full text Add to dashboard Cite

Risk treatment is an effective way to reduce the risk of oil pipeline accidents. Many risk analysis and treatment strategies and models have been established based on the event tree method, bow-tie method, Bayesian network method, and other methods. Considering the characteristics of the current models, a risk treatment strategy model for oil pipeline accidents based on Bayesian decision network (BDNs) is proposed in this paper. First, the quantitative analysis method used in the Event-Evolution-Bayesian model (EEB model) is used for risk analysis. Second, the consequence weights and initial event likelihoods are added to the risk analysis model, and the integrated risk is obtained. Third, the risk treatment strategy model is established to achieve acceptable risk with optimal resources. The risk treatment options are added to the Bayesian network (BN) risk analysis model as the decision nodes and utility nodes. In this approach, the BN risk analysis model can be transformed into a risk treatment model based on BDNs. Compared to other models, this model can not only identify the risk factors comprehensively and illustrate the incident evolution process clearly, but also can support diverse risk treatment strategies for specific cases, such as to reduce the integrated risk to meet acceptable criterion or to balance the benefit and cost of an initiative. Furthermore, the risk treatment strategy can be updated as the risk context changes.

show abstract

Risk-based asset management: automated structural reliability assessment of geographically distributed pipeline networks for gas and water in the Netherlands

Cited by 6 publications

References 5 publications

Bridging Geo-Data and Natural Gas Pipeline Design Standards: A Systematic Review of BIM-GIS Integration for Natural Gas Pipeline Asset Management

Bridging Geo-Data and Natural Gas Pipeline Design Standards: A Systematic Review of BIM-GIS Integration for Natural Gas Pipeline Asset Management

Organic Matter Accretion, Shallow Subsidence, and River Delta Sustainability

A Risk Treatment Strategy Model for Oil Pipeline Accidents Based on a Bayesian Decision Network Model

Contact Info

Product

Resources

About