Network performance optimisation using triple interleaving routing algorithm for oil and gas pipeline network

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
FARAH SHAHNAZ FEROZ ◽  
SIVA KUMAR SUBRAMANIAM ◽  
MOHAMAD YUSRY L.E.E. IKHWAN LEE ◽  
AMIERUL SYAZRUL AZRIL AZMAN
Keyword(s):  
Network Performance ◽  
Oil And Gas ◽  
Routing Algorithm ◽  
Gas Pipeline ◽  
Pipeline Network

Central Asia's Oil and Gas Pipeline Network: Current and Future Flows

1994 ◽  
Vol 35 (7) ◽  
pp. 412-430 ◽  
Author(s):  
James P. Dorian ◽  
Ian Sheffield Rosi ◽  
S. Tony Indriyanto
Keyword(s):  
Oil And Gas ◽  
Gas Pipeline ◽  
Pipeline Network

Simulation of flow characteristics for leak detection in oil and gas pipeline network

2021 ◽  
Author(s):  
B. Manshoor ◽  
A. Khalid ◽  
I. Zaman ◽  
D. Hissein Didane ◽  
N. F. F. Zulkefli
Keyword(s):  
Oil And Gas ◽  
Flow Characteristics ◽  
Leak Detection ◽  
Gas Pipeline ◽  
Pipeline Network

scholarly journals STATIC NETWORK PERFORMANCE OPTIMISATION USING DUAL INTERLEAVE ROUTING ALGORITHM

2018 ◽  
Vol 19 (1) ◽  
pp. 129-143
Author(s):  
Siva Kumar Subramaniam ◽  
Shariq Mahmood Khan ◽  
Rajagopal Nilavalan
Keyword(s):  
Ieee 802.11 ◽  
Network Performance ◽  
Oil And Gas ◽  
Network Reliability ◽  
High Reliability ◽  
Network Capacity ◽  
Destination Node ◽  
Linear Network ◽  
Pipeline Network ◽  
Static Routing

In the recent years, there is an increasing demand on multi-hop wireless sensor networks (WSN) especially for remote condition and integrity monitoring of oil and gas pipelines. The sensing points are connected through WSN points, known as a wireless communication medium, between the remotely measured locations on a pipeline and a centralised monitoring station, located some distance away. Generally, WSN deployment on a multi-hop linear topology has critical factors that contribute towards overall degrading of network performance proportional to the number of nodes. This is especially true in highly dense networks. In general, such a drawback contributes towards poor network reliability, low network capacity, high latency, and inequality with snowballing effect, increasing in the direction of the destination node. This paper introduces the Dual Interleaving Linear Static Routing (DI-LSR) for a multi-hop linear network with high reliability and efficiency to significantly enhance the overall network performance of a pipeline network. The DI-LSR was tested and analysed according to IEEE 802.11 standard in a various simulation environment for future real-time deployment in a pipeline network. ABSTRAK: Sejak beberapa tahun kebelakangan ini, terdapat permintaan yang drastik pada rangkaian multi-hop sensor wayarles (WSN) terutamanya bagi pemantauan jarak jauh dan integriti saluran paip minyak dan gas. Kesemua unit pengesan antara lokasi disambung melalui satu saluran WSN yang dikenali sebagai medium komunikasi wayarles dan diukur ke stesen pemantauan berpusat. Penempatan WSN pada topologi linear multi-hop mempunyai faktor-faktor penyumbang kepada penurunan prestasi keseluruhan rangkaian yang berkadar dengan jumlah bilangan nod dalam rangkaian yang padat. Secara umum, kelemahan ini adalah penyumbang kepada kebolehpercayaan rangkaian, kapasiti rangkaian rendah, respon rangkaian tinggi dan faktor pendorong kesan ketidaksamaan terhadap nod destinasi. Kajian ini memperkenalkan Dual interleaving Linear Static Routing (DI-LSR) iaitu algoritma jalinan komunikasi cekap bagi mencapai peningkatan ketara keseluruhan prestasi dalam saluran paip rangkaian. DI-LSR telah diuji dan dianalisa dalam pelbagai persekitaran simulasi mengikut piawaian IEEE 802.11 bagi mengatur kedudukan pada masa depan saluran paip rangkaian.

scholarly journals A two-stage optimization method for unmanned aerial vehicle inspection of an oil and gas pipeline network

2019 ◽  
Vol 16 (2) ◽  
pp. 458-468 ◽  
Author(s):  
Yamin Yan ◽  
Yongtu Liang ◽  
Haoran Zhang ◽  
Wan Zhang ◽  
Huixia Feng ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Oil And Gas ◽  
Optimization Method ◽  
Gas Pipeline ◽  
Two Stage ◽  
Pipeline Network ◽  
Vehicle Inspection ◽  
Aerial Vehicle

An Optimization Model for UAV Inspection Path of Oil and Gas Pipeline Network

2018 ◽  
Author(s):  
Yamin Yan ◽  
Haoran Zhang ◽  
Wan Zhang ◽  
Bohong Wang ◽  
Qi Liao ◽  
...  
Keyword(s):  
Large Scale ◽  
Oil And Gas ◽  
Programming Model ◽  
Three Dimensional ◽  
Economic Benefits ◽  
Gas Pipeline ◽  
Inspection Time ◽  
Pipeline Network ◽  
Pipeline Networks ◽  
Vehicle Inspection

Currently, the oil and gas pipeline network is a key link in the coordinated development of oil and gas upstream and downstream cohesion. To ensure the reliability and safety of oil and gas pipeline network operation, it is necessary to inspect the pipeline periodically to minimize the risk of leakage, spill and theft, as well as documenting actual incidents and the effects on the environment. Traditional manpower inspection is extremely labor-intensive and inefficient. Through the use of UAV (unmanned aerial vehicle) inspection, it is possible to greatly increase efficiencies by reducing the amount of manpower and resources required by traditional inspection methods. The integrated optimization for UAV inspection path of oil and gas pipeline networks, including physical feasibility, performance of mission, cooperation, real-time implementation, three-dimensional (3-D) space, et al, is a strategic problem due to its large-scale and complexity. Aimed at improving inspection efficiency and maximizing economic benefits, this paper proposes a novel mix-integer linear programming model which could be used for inspection path planning. Minimizing the total inspection time is the objective function of this model. The constraints of the mission scenario and the safety performance of UAV are taken into account. By using evolutionary genetic algorithm, each candidate route can be measured through the evaluation function that takes into account the cost of the route, the mission scenario as well as the cooperative and coordinative requirements among the unmanned aerial vehicles constraints. Finally, the proposed approach is applied to a virtual oil and gas pipeline network. Compared with the traditional inspection approach, the proposed method is 66.48% less in inspection cost and 22.07% shorter in total inspection time, verifying the rationality and superiority of the model.

scholarly journals Designated path routing algorithm for dense wireless sensor network

2021 ◽  
Vol 23 (3) ◽  
pp. 1520
Author(s):  
Siva Kumar Subramaniam ◽  
Amierul Syazrul Azman ◽  
Mohamad Yusry Lee ◽  
Farah Shahnaz Feroz
Keyword(s):  
Energy Consumption ◽  
Network Performance ◽  
Ad Hoc ◽  
Oil And Gas ◽  
Routing Algorithm ◽  
Data Gathering ◽  
Oil And Gas Industry ◽  
Sensor Data ◽  
Gas Industry ◽  
Industry Applications

Due to extensive pipeline dissemination in the oil and gas refinery, the nodes need to be placed in a grid formation. As such, since most oil and gas industry applications require continuous data gathering, a heavy data stream will be introduced in the network traffic, mainly when the network density is high. As a result, performance degradation and poor energy consumption will occur. Ad hoc on-demand distance vector and optimized link state routing protocol have been simulated to investigate these issues further. Due to packet congestion, the network experiences a domino effect on the performance, such as packet loss, throughput degradation, and poor energy consumption. Thus, a tailored solution is required since oil and gas industry relies heavily on sensor data to keep track of pipelines condition to prevent anomalous events from happening. The proposed algorithm has been developed to optimize the network performance by dividing the traffic into two and by reducing the flooding during route discovery. The results have shown better network performance and energy consumption can be achieved using the proposed algorithm when compared to the others.

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