scholarly journals Research on Partial Pressure of Oilfield Water Injection Pipeline Network System Based on Fuzzy Logic

2021 ◽  
Vol 1944 (1) ◽  
pp. 012026
Author(s):  
Ruijie Zhang ◽  
Zhenming Wu ◽  
Mengxiao Wang ◽  
Yapeng Guo ◽  
Guoan Mao
2021 ◽  
Vol 2076 (1) ◽  
pp. 012003
Author(s):  
Fengjiao Qu ◽  
Tingting Liu ◽  
Zhiming Zhang ◽  
Weiyi Xie ◽  
Yansong Wang ◽  
...  

Abstract The efficiency of oilfield water injection system is generally low and energy consumption is high. With the deepening of oilfield exploitation, the water cut of the oilfield is increasing, the power consumption of the water injection system is increasing year by year, the oilfield exploitation cost is increasing, and energy conservation and consumption reduction are very important. In order to improve oilfield water injection efficiency and reduce water injection energy loss, this paper puts forward the pipe network optimization design method of partial pressure water injection, establishes the mathematical model of partial pressure water injection pipe network and throttling loss calculation model, compiles the calculation software of partial pressure water injection mathematical model, optimizes the partial pressure interval, calculates the partial pressure points, effectively reduces the energy loss of water injection system and improves the efficiency of water injection system.


2021 ◽  
pp. 1-9
Author(s):  
Nesrine Lenchi ◽  
Salima Kebbouche-Gana ◽  
Pierre Servais ◽  
Mohammed Lamine Gana ◽  
Marc Llirós

Author(s):  
Mildo Hasoloan Nainggolan ◽  
I Putu Suarsana ◽  
Suryo Prakoso

<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>


2018 ◽  
Vol 5 (2) ◽  
pp. 129
Author(s):  
Jaime Luis da Costa ◽  
Rukmi Sari Hartati ◽  
Widyadi Setiawan

In Bali, especially at Tiga Nusa, the need for electricity is increasing along with the development of the construction of resorts and hotels. In this study, a sample of cases was taken in 2014 regarding the Lembongan feeder network system which was still installed with several LBS (Load Break Switch) which used to localize interference. Therefore, to anticipate interference and improve the reliability of feeders, one of many ways is to add an automatic back cover (recloser). This study aims to determine the optimal recloser location in the Lembongan feeder by using a combined method of fuzzy logic and particle swarm optimization with the help of MATLAB software. The results of this study obtained the best location of the recloser in group 5, namely the area between LBS SD 3, LBS Celagi Empak, and LBS Lembongan by adding one recloser. The SAIFI value is 1,9471 times / customer / year and the SAIDI value is 1,4596 hours / customer / year where the world class service parameter standard for the SAIFI reliability index is 3 times / customer / year and the SAIDI reliability index is 2,5 hours / customer / year.


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