Corrosion Monitoring for Kuwait's Pipeline Network System

2013 ◽  
Author(s):  
A. Al-Shamari ◽  
S. Al-Sulaiman ◽  
A. Al-Mithin ◽  
Amer Jarragh ◽  
S. S. Prakash
Keyword(s):  
Corrosion Monitoring ◽  
Network System ◽  
Pipeline Network

Internal Corrosion Management of Crude Pipelines

2014 ◽  
Author(s):  
S. Surya Prakash ◽  
Abdul Razzaq Al-Shamari ◽  
Shabbir Safri ◽  
Amer Abdullah Jaragh
Keyword(s):  
High Pressure ◽  
Corrosion Monitoring ◽  
Network System ◽  
Internal Corrosion ◽  
Pipeline Network ◽  
Monitoring Protocol ◽  
Integrity Management ◽  
Corrosion Assessment ◽  
External Corrosion ◽  
Oil Company

Kuwait currently produces about 3 million barrels of crude oil per day and has a large pipeline network system for handling its oil and associated products (condensate, low pressure and high pressure gas, as well as produced and effluent waters). The total length of the pipeline network is about 4790 Km consisting of API 5L Grade-B carbon steel ranging in diameter from 100 mm to 1830 mm. The Kuwait Oil Company (KOC) is responsible for the corrosion and integrity management of the pipeline network system which involves: Internal Corrosion Monitoring to assess the internal corrosion status of the pipelines including the occurrence of microbial influenced corrosion; external corrosion protection with the help of coatings and cathodic protection, and periodic intelligent and cleaning pigging operations for internal corrosion assessment and cleaning. The present paper focuses on the internal corrosion management of the export crude segment of the pipeline network system which is very important for a healthy economy. The internal corrosion monitoring protocol includes, online corrosion monitoring, cleaning pigging and intelligent pigging. Bacteria counts’ trending is also included as part of protocol. Some anomalies between the results obtained from corrosion trends, cleaning pigging results and intelligent pigging are highlighted and a sound engineering explanation is attempted to explain these apparent anomalies.

scholarly journals Hydrocarbon Accounting Verification for Reasonable Assurance on EJGP Open Access Pipe System

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Mildo Hasoloan Nainggolan ◽  
I Putu Suarsana ◽  
Suryo Prakoso
Keyword(s):  
Open Access ◽  
Natural Gas ◽  
Piping System ◽  
Network System ◽  
Pipeline Network ◽  
Pipe System ◽  
Average System ◽  
History Of ◽  
Set Up ◽  
Flow Quantity

<p>The East Java Gas Pipeline (EJGP) pipeline network system is an open access for transporting almost ± 310 MMSCFD of Natural Gas from fields in East Java offshore to the onshore Power Plant consumers. The deviation between the calculated and mass balance of gas stock is called the Discrepancy in which BPHMIGAS set up a maximum value of ± 0.85%. The objective of the study is to develop a verification methodology to support hydrocarbon accounting in the EJGP Pipeline Network System. The methodology will be assisted by Flow Quantity Assurance software. After obtaining sufficient data, a new baseline can be taken empirically which can be used as a reference for the maximum allowable discrepancy in the EJGP Pipeline Network System. The data used in this simulation are taken from September - October 2013 such as pipes dimension of the entire network piping system, flowrate, pressure, temperature, and the composition of natural gas. The results of verification are compared with the calculations carried out by Pertamina Gas as operators. The calculation of Discrepancy from the Operators with different tools is around 0.12%, meaning that operator calculations are acceptable. The maximum <br />allowable discrepancy ± 0.85%, can be reviewed to be reduced according to the history of the average system discrepancy in 2017-2018 (around 0.54%). The New Shipper from Sirasun Batur Field is still more economics by using the existing pipeline network even though it bears Discrepancy / Losses up to 1% compared to building new pipes to consumers. It is found that the discrepancy is getting smaller (reducing the error) if there is a gas balance, meaning that the end consumers will take the gas according to the agreed nomination.</p>

Study on the Optimal Topological Structure of the Producing Pipeline Network System of CBM Fields

2015 ◽  
Author(s):  
Zhang Haoran ◽  
Liang Yongtu ◽  
Wu Mengyu ◽  
Qian Chen ◽  
Li Ke ◽  
...  
Keyword(s):  
Topological Structure ◽  
Network System ◽  
Pipeline Network

scholarly journals Computer-Aided Simulation Model for Natural Gas Pipeline Network System Operations

2004 ◽  
Vol 43 (4) ◽  
pp. 990-1002 ◽  
Author(s):  
Panote Nimmanonda ◽  
Varanon Uraikul ◽  
Christine W. Chan ◽  
Paitoon Tontiwachwuthikul
Keyword(s):  
Natural Gas ◽  
Simulation Model ◽  
Gas Pipeline ◽  
Network System ◽  
Pipeline Network ◽  
Natural Gas Pipeline ◽  
Computer Aided

A Methodology to Assess the Gas Supply Capacity and Gas Supply Reliability of a Natural Gas Pipeline Network System

2018 ◽  
Author(s):  
Weichao Yu ◽  
Kai Wen ◽  
Yichen Li ◽  
Weihe Huang ◽  
Jing Gong
Keyword(s):  
Natural Gas ◽  
Transition Process ◽  
Gas Pipeline ◽  
Network System ◽  
Market Demand ◽  
Pipeline Network ◽  
Natural Gas Pipeline ◽  
Supply Capacity ◽  
Gas Supply ◽  
Supply Reliability

Natural gas pipeline network system is a critical infrastructure connecting gas resource and market, which is composed with the transmission pipeline system, underground gas storage (UGS) and liquefied natural gas (LNG) terminal demand. A methodology to assess the gas supply capacity and gas supply reliability of a natural gas pipeline network system is developed in this paper. Due to random failure and maintenance action of the components in the pipeline network system, the system can be in a number of operating states. The methodology is able to simulate the state transition process and the duration of each operating state based on a Monte Carlo approach. After the system transits to other states, the actual flow rate will change accordingly. The hydraulic analysis, which includes thermal-hydraulic simulation and maximum flow algorithm, is applied to analyze the change law of the actual flow rate. By combining the hydraulic analysis into the simulation of the state transition process, gas supply capacity of the pipeline network system is quantified. Furthermore, considering the uncertainty of market demand, the load duration curve (LDC) method is employed to predict the amount of demand for each consumer node. The gas supply reliability is then calculated by comparing the gas supply capacity with market demand. Finally, a detailed procedure for gas supply capacity and gas supply reliability assessment of a natural gas pipeline network system is presented, and its feasibility is confirmed with a case study. In the case study, the impact of market demand uncertainty on gas supply reliability is investigated in detail.

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