scholarly journals Identifying Critical Regions in Industry Infrastructure: A Case Study of a Pipeline Network in Kansas, USA

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 71093-71105
Author(s):  
Peng Hou ◽  
Xiaojian Yi ◽  
Haiping Dong
Keyword(s):  
Pipeline Network ◽  
Critical Regions

scholarly journals A Novel Risk-Based Prioritization Approach for Wireless Sensor Network Deployment in Pipeline Networks

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1512
Author(s):  
Xiaojian Yi ◽  
Peng Hou ◽  
Haiping Dong
Keyword(s):  
Spatial Distribution ◽  
Wireless Sensor ◽  
Simple Assumption ◽  
Pipeline Network ◽  
Novel Approach ◽  
Pipeline Networks ◽  
Failure Event ◽  
The Face ◽  
Critical Regions

In the face of increased spatial distribution and a limited budget, monitoring critical regions of pipeline network is looked upon as an important part of condition monitoring through wireless sensor networks. To achieve this aim, it is necessary to target critical deployed regions rather than the available deployed ones. Unfortunately, the existing approaches face grave challenges due to the vulnerability of identification to human biases and errors. Here, we have proposed a novel approach to determine the criticality of different deployed regions by ranking them based on risk. The probability of occurrence of the failure event in each deployed region is estimated by spatial statistics to measure the uncertainty of risk. The severity of risk consequence is measured for each deployed region based on the total cost caused by failure events. At the same time, hypothesis testing is used before the application of the proposed approach. By validating the availability of the proposed approach, it provides a strong credible basis and the falsifiability for the analytical conclusion. Finally, a case study is used to validate the feasibility of our approach to identify the critical regions. The results of the case study have implications for understanding the spatial heterogeneity of the occurrence of failure in a pipeline network. Meanwhile, the spatial distribution of risk uncertainty is a useful priori knowledge on how to guide the random deployment of wireless sensors, rather than adopting the simple assumption that each sensor has an equal likelihood of being deployed at any location.

Case Study of Three-Dimensional Optimization Design on Architectural MEP Based on BIM

2014 ◽  
Vol 507 ◽  
pp. 177-181
Author(s):  
Xiao Biao Lv ◽  
Zi Jian Liang
Keyword(s):  
Design Optimization ◽  
Optimization Design ◽  
Spatial Information ◽  
Three Dimensional ◽  
Integrated Design ◽  
Information Modeling ◽  
Pipeline Network ◽  
Building Information ◽  
Hospital Building

MEP (Mechanical,Electrical,Plumping) includes vast amount of equipment types and pipelines in the integrated design, leading the coordination of MEP design optimization a major challenge for complex buildings. This document explains the technical processes and characteristics of the three-dimensional MEP design optimization based on BIM(Building Information Modeling), connected with the case of the integrated pipeline optimization design practice of a hospital building. Though establishing the BIM model of four-space underground pipeline network system in a hospital outpatient building, we carried out MEP collision checking, obtaining three-dimensional spatial information 102 collision points. Combined with manual screening we finally identified 67 valid point of conflict, for the construction of secondary pipeline network optimization design. In particular, the suggestion on the promotion and application of BIM-based building MEP design to municipal pipeline network in the future is proposed.

KOC’s Integrity Management Program for Non-Piggable Pipelines: A Case Study

2010 ◽  
Author(s):  
Ashish Khera ◽  
Abdul Wahab Al-Mithin ◽  
James E. Marr ◽  
Shabbir T. Safri ◽  
Saleh Al-Sulaiman
Keyword(s):  
Risk Analysis ◽  
Systematic Evaluation ◽  
Pipeline System ◽  
Pipeline Network ◽  
Integrity Assessment ◽  
Direct Assessment ◽  
Integrity Management ◽  
Management Techniques ◽  
External Corrosion

More than half of the world’s oil and gas pipelines are classified as non-piggable. Pipeline operators are becoming aware there are increased business and legislative pressures to ensure that appropriate integrity management techniques are developed, implemented and monitored for the safe and reliable operation of their pipeline asset. The Kuwait Oil Company (KOC) has an ongoing “Total Pipeline Integrity Management System (TPIMS)” program encompassing their entire pipeline network. In the development of this program it became apparent that not all existing integrity management techniques could be utilized or applied to each pipeline within the system. KOC, upon the completion of a risk assessment analysis, simply separated the pipelines into two categories consisting of piggable and non-piggable lines. The risk analysis indicated KOC’s pipeline network contains more than 200 non-piggable pipelines, representing more than 60% of their entire pipeline system. These non-piggable pipelines were to be assessed by utilizing External Corrosion Direct Assessment (ECDA) for the threat of external corrosion. Following the risk analysis, a baseline external corrosion integrity assessment was completed for each pipeline. The four-step, iterative External Corrosion Direct Assessment (ECDA) process requires the integration of data from available line histories, multiple indirect field surveys, direct examination and the subsequent post assessment of the documented results. This case study will describe the available correlation results following the four steps of the DA process for specific non-piggable lines. The results of the DA program will assist KOC in the systematic evaluation of each individual non-piggable pipeline within their system.

Application of Multi-Nodal Network Simulation Models in Debottlenecking Complex Pipeline Network

2014 ◽  
Author(s):  
Dumitru Cernelev ◽  
Allan Chegus ◽  
Frank Lin
Keyword(s):  
Simulation Model ◽  
Network Simulation ◽  
System Modeling ◽  
Model Development ◽  
Practical Application ◽  
Pipeline Network ◽  
Business Objective ◽  
Modeling Techniques ◽  
Network Simulation Model

The problem of identifying and removing bottlenecks in a multi-terminal oil & gas pipeline network while achieving quality and delivery targets is a very real and complex problem. The most effective way to meet the above business objective is to develop a terminal network simulation model. This paper is a case study describing the approach in designing a complex multi-nodal pipeline network simulation model with objective to resolve a critical inter-company storage problem for a major refiner. Various complex system modeling techniques and approaches are elaborated with a focus on practical application. A case study is also presented to demonstrate the practical application of the modeling techniques for terminal network simulation model development.

Critical Region Identification of Land Use/Land Cover based on typical ecosystem services - a case study of Beijing-Tianjin-Hebei Urban Agglomeration

2020 ◽  
Author(s):  
Yinglu Liu
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Social Economy ◽  
Complex Problem ◽  
Urban Agglomeration ◽  
Ecological Environment ◽  
Critical Areas ◽  
Land Use Types ◽  
Critical Regions

<p>Contradictions between population, economic development, land and ecological environment occur frequently in the Beijing-Tianjin-Hebei urban agglomeration, forming a complex problem of "population - land - social economy - ecological environment" at a regional level. This study considers seven indicators, including LUCC and three typical ecosystem services, to recognize the critical regions. Through continuous experiments and adjustments of parameters, we finally determine the building methods of overlaying in a equal power, and quantificationally evaluate the land use dynamic degrees, land use extents, diversity of land use types, ecological land use ratio, carbon sequestration service, soil conservation and water production services, integrated identify critical areas of the Beijing-Tianjin-Hebei urban agglomeration. We aim at realizing the coordinated sustainable development of Beijing-Tianjin-Hebei region as soon as possible, and providing the basis for land planning. The results show that the critical regions of the Beijing-Tianjin-Hebei urban agglomeration are mainly distributed in the Yanshan and Taihang mountain regions and the surrounding towns. On the scale of county level, the first-level critical regions are mainly located in Beijing, Qinhuangdao and Chengde, and the second-level critical regions are mainly located in Chengde, Beijing, Qinhuangdao and Baoding.</p>

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