The Role of Gas Processing in the Natural-Gas Value Chain

2009 ◽  
Vol 61 (08) ◽  
pp. 65-71 ◽  
Author(s):  
Robert Hubbard
2019 ◽  
Vol 11 (1) ◽  
pp. 60-77
Author(s):  
Ishmael Ackah ◽  
Freda Opoku ◽  
Sarah Anang

The purpose of this article is to review the dynamics of natural gas resources in Africa and evaluate how it can help solve the power challenges of the continent. This article develops from a descriptive analysis and desk review on natural gas and power. The key finding is that despite the increased discovery of natural gas in Africa, it has had minimal impact on power production. This study provides a descriptive overview and is limited to only natural gas. It does not consider how other energy sources can contribute to solving Africa’s power challenges. This article draws the attention of both policymakers and the investment community to the opportunities in the ‘natural gas-power’ value chain and the need to invest in gas infrastructure. An overview of the power challenges and natural gas potential of Africa is provided.


2019 ◽  
Vol 20 (K9) ◽  
pp. 53-58
Author(s):  
Nguyen Dai Long ◽  
Nguyen Minh Hung ◽  
Le Duong Hai ◽  
Nguyen Thi Thanh Hang ◽  
Huynh Minh Thua

It is expected that a certain amount of natural gas from Nam Con Son Pipeline No. 2 (Stage 2) which will be received from various new gas fields (e.g. Thien Ung, Dai Hung, Su Tu Trang, Sao Vang, Dai Nguyet) and from an existing Nam Con Son Pipeline No. 1. Besides the current utilisations (e.g. for power generation and fertilizer production), the use of natural gas for petrochemical production have attracted more attention due to a value chain increase and for petrochemical development. In Vietnam, the fertilizer production from natural gas via methane value chain is only used. However, with an estimated capacity of 7-10 milion cubic meter per day (MMSCD) and the ethane concentration of 7-8%, the separation and processing of ethane (200-300 thousand ton per year) is one of potential solution for increasing the gas processing margin. In this study, therefore, an evaluation of ethane gas processing for petrochemical production was conducted based on various marketing, technical and economic aspects. The result revealed that high density polyethylene (HDPE) shows the best scenarios owing to high economic efficiency, well-known technology, high demand but lack of supply. The finding might provide a valuable strategy for deep processing of domestic gas.


2021 ◽  
Author(s):  
Noor Arnida Abdul Talip ◽  
Mohd Hafiz Muhamad Pikri ◽  
Dr Shahrul Azman Zainal Abidin ◽  
Hasnor Hassaruddin Hashim

Abstract Methane emission affects advocacy on natural gas as low carbon fuel as it has a global warming potential of 25 times GWP compared to CO2. In promoting natural gas against coal and address concerns of stakeholders, it is critical for an Oil & Gas Company to manage the methane emissions across gas value chain for it be qualified as a cleaner fuel in the energy transition. Methane emission is usually quantified from key intended emission sources such as venting, flaring and combustion. With this greenhouse gas (GHG) emissions monitoring enables gradual reduction of large intended methane sources. However, unintended fugitive methane emission as well as those from other small intended sources such as compressor seals are usually not quantified and reported. In supporting energy transition, there is a need to step-up in accurate quantification and reduction of methane emissions and determine long term reduction target in driving competitiveness of natural gas as low carbon fuel. Hence, an initiative was taken to measure baseline data for methane emission for gas processing facilities and gas transmission and regasification unit by utilizing accurate measurement tools and methodologies for detection and quantification.


2021 ◽  
Author(s):  
N. A. Abdul Talip ◽  
S. A. Abidin ◽  
M. H. Pikri ◽  
L. A. Karim ◽  
A. W. Zakaria ◽  
...  

Abstract Methane concentration in the atmosphere is increasing steadily and this increment is driving climate change and continue to rise. Although the estimates of methane emissions are subject to a high degree of uncertainty, the energy sector is still one of the major sources of anthropogenic methane emissions. Focusing on the oil and gas industry, methane is emitted during normal operation, routine maintenance and system disruptions. However, globally more energy will be required in the future. Transitioning to a low carbon future requires an energy player in O&G to start managing methane emissions in the natural gas / liquefied natural gas value chain effectively. Many global methane management coalitions were established with common goals i.e. to reduce global methane emissions and to advance the abatement, recovery and use of methane as a valuable clean energy. One of it is Methane Guiding Principles (MGP) which focuses on priority areas for action across the natural gas supply chain, from production to the final consumer. Signatory members of MGP is to fulfill the expectations of the 5 principles in MGP that includes pursuing an accurate methane emissions quantification across its gas value chain. A baseline study was initiated to measure methane emissions for LNG plant, gas processing and gas transmission facilities, covering both intended and unintended releases. Methane emissions were quantified using a process simulation software that was developed by PETRONAS Group Technical Solutions, called iCON Emission, where the calculations applied in the software are aligned with API compendium, US EPA and IPCC. Methane emissions from unintended releases i.e. LOPC and fugitive leaks were quantified using the actual inputs from LDAR data (%LEL or concentration), stream compo, stream phase, device type and component correction factor to calculate methane emission rate. Meanwhile methane emissions from intended releases e.g. flaring, compressor seals, pneumatic devices, etc, were quantified using metered amount or designed leakage/vent rate. Further works on Fugitive emissions are currently developed by PETRONAS technologist using Inferential Modeling via machine learning approach. This approach is combining First Principle and Data Analytics to make Fugitive Emission as online information and accurate reporting. To provide further assurance to the results, PETRONAS had engaged a 3rd party to validate the results where it was concluded that methane emissions quantification using iCON tool is almost the same level of accuracy with Level 3 of OGMP 2.0 standard. This level of accuracy is at par with the practice of the other O&G peers. Based on the baseline identification & quantification of methane emissions, PETRONAS is able to take necessary mitigating action, operating its asset in a safe and sustainable manner protecting the environment while monetizing the methane emissions from LNG and gas processing facilities with approximate cost saving of RM 15 mil/year.


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