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Aly Rasyid
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Universitas Bhayangkara Jakarta Raya Kampus II: Jalan Raya Perjuangan No. 81, Bekasi Utara, Kota Bekasi 17121, Indonesia
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Bhara Petro Energi
Published by Universitas Bhayangkara Jakarta Raya
ISSN : 28285530     EISSN : 28283457     DOI : https://doi.org/10.31599/bpe.v1i2
Core Subject : Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Energy Engineering
Journal of Bhara Petro Energi (BPE) is a scientific journal managed and published by the Department of Petroleum Engineering, Faculty of Engineering, Bhayangkara University, Greater Jakarta. The focus of this journal is all about the upstream and downstream oil and gas industry as well as the geothermal industry. This journal focuses on production technology, drilling technology, petrophysics, reservoir studies and EOR (enhanced oil recovery) studies. Downstream Technology focuses on oil processing, managing surface equipment, and economic forecasting. BPE will be issued 3 (three) times a year, in March, July and December. First published in March 2022 with ISSN 2828-3457 (Online Media), and ISSN 2828-5530 (print media).
Arjuna Subject : Energi (semua kategori) - Energi (Lain-Lain)
Articles 76 Documents
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Analisa Dan Optimasi Produksi Sumur Migas Di PEP Bekasi Hernowo Widodo; M. Samsuri; Samsul Ma’rif
Jurnal Bhara Petro Energi Vol.1 No.1 (Mei 2022)
Publisher : Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/2hm71721

Abstract

Based on the results of the mass balance analysis and a review at PEP, it was concluded that the total feed intake from all wells was BOPD at 770 barrels/day, gas at 12.1882 MMSCFD, and BLPD at 15975.2 barrels/day, the total product produced was 8 ,541226% oil at 1568.760 barrels/day, 8.989134% condensate at 1651.027 barrels/day, 0.056535% gas at 10.3838214 MMSCFD, and 82.4131% water injection at 15136.748 barrels/day . In the Water Injection Plant process it produces sludge of 16286.812 kg or 0.90001% of the processed formation water, the formation of sludge is due to the addition of chemicals in the formation water treatment process.
Perencanaan Desain Offshore Kontruksi Bawah Laut menggunakan Pengolahan Data Pemodelan Geofisika dengan Program Simulasi 3D Surfer Edy Soesanto; Aly Rasyid; Hadi Suyanto
Jurnal Bhara Petro Energi Vol.1 No.1 (Mei 2022)
Publisher : Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/stebf321

Abstract

Underwater  construction  design  planning  is  increasingly  being  developed  as  a  3D  modeling simulation, because 3D simulation is expected to be able to make the initial plan for making a design  framework.  Surfer  is  one  of  the  software  that  was  created  for  the  purpose  of  making contour  maps  and  three-dimensional  modeling  based  on  existing  grids  and  simplifying  and accelerating data conversion activities into the form of contour maps and surface plots. One of the  applications  is  Surfer  in  the  field  of  Underwater  Technology  development  is  3D  modeling simulation and bathymetric contour map making, sediment layer modeling using SBP data and making current stick plots to determine circulation and current velocity and direction. In addition, Surfer can also display maps in 2D or 3D. on this occasion Surfer 16 software will be used to process  marine  acoustic  data  with  X  (Easting)  data,  Y  (Northing)  data  and  six  Z  layer  depths, namely Z1-Z6, the data is processed in one step to make 2D and 3D models which are then will be  interpreted  as  a  simulation  material  for  the  initial  planning  of  the  underwater  construction design.  
Upaya Peningkatan Productivity Mesin Extrusion 2500 Menggunakan Metode Overall Equipment Effectiveness (OEE) dan Six Big Losses Studi Kasus PT XYZ Arif Nuryono, S.T., M.T.; Alloysius Vendhi Prasmoro, S.T., M.T.; Gusti Andhika Aji
Jurnal Bhara Petro Energi Vol.1 No.2 (November 2022)
Publisher : Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/pv3pam75

Abstract

XYZ is engaged in manufacturing in making aluminum profile products during the last one year period. XYZ company did not reach its production target by an average of 6.24%. As for the reasons why the production target did not reach the target, one of them was due to the high downtime of the extrusion machine 2500 which exceeded the company standard, namely 7800 minutes per year, the downtime of the extrusion machine 2500 in the last year was 9807 minutes. The purpose of this study is to reduce the downtime value of the extrusion machine using the OEE method (overall equipment effectiveness), to increase the productivity of the extrusion machine 2500 from the results of the analysis of six big losses and identify the main causes of downtime of the extrusion 2500 machine. The results show that the OEE value of the extrusion machine. 2500 by 45. 61% where this value is still below the ideal OEE average standard, namely 85%. The main cause of downtime is due to seven factors that dominate the causes of downtime, namely log heater 2230 minutes with 11 events, puller 1740 minutes with 11 events, dummi block 1390 with 4 events, loader 710 minutes with 4 events, finish cut 540 minutes with 3 events, stem 450 minutes with 2 events, 360 minutes table with 1 event. Based on the results of the calculation of six big losses, the results of downtime values: equipment failure losses 3,81%, setup and adjustment losses 3,95%, speed losses: idle and minor stoppage 3,03%, reduced speed losses 46,51, quality losses: defect losses 0,13%, reduced yield 0 %. The recommendation for improvement is to conduct special training, give warnings to operators who are not disciplined.
Evaluasi Pemilihan Electric Submersible Pump (ESP) Untuk Menggantikan Gas Lift (GL) Di Sumur X Lapangan Offshore Y Nugroho Marsiyanto; Eko Prastio; Aly Rasyid
Jurnal Bhara Petro Energi Vol.1 No.2 (November 2022)
Publisher : Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/zx02t628

Abstract

Well X is located in the offshore Y field, where there are 7 production wells, all of which use an artificial lift in the form of a gas lift. In this field, oil is produced from the N oil layer while the gas layer comes from the K layer. Well X was drilled in May 2013 with a target of N oil formation at a depth of 9,007 ft MD, slope (450) and 4-1/2" Liner completion. The initial production of well X was 1,632 BOPD; 5.3 MMSCFD; 0% BSW. Well X is the only well in the Y offshore field that does not penetrate the K gas formation, so gas production from nearby wells is used to produce oil from the N formation. well-to-well gas lift. Along with production time, the reservoir pressure in the N oil layer and K gas layer has decreased, so that oil production in well X has also decreased. With changes in company policy that optimize and increase gas production to increase gas sales to the industry around the company's operational areas since early 2017, the outgoing pressure on the Y platform has increased from 210 psi to 450 psi, causing a total oil well X could not pass through and produce due to high outgoing pressure on platform Y. Well X's last production data was on January 31 2017 with oil production of 179 BOPD and 1.25 MMSCD for gas production and gas lift injection of 0.75 MMSCFD, before finally shutting down. The selection of another artificial lift as a substitute for the gas lift has been carried out to revive well X later. Based on the alloy table made by Weatherford for the selection of artificial lifts for conditions on the Y field platform, ESP has many advantages and appropriate flexibility compared to other types of artificial lifts. The ESP type D1050N which is a mix flow ESP has been selected and after installation in well X in August 2019 it has successfully revived with a production test of 885 BFPD, 681 BOPD, and 23% water content on September 3 2019. ESP in well X has been in production for 2 years, until finally experiencing a leaky tubing problem in September 2021 and requiring a new tubing replacement job along with a new ESP replacement to revive the X well.
Metode Penanggulangan Water ConingDari Beberapa Lapangan M. Mahlil Nasution
Jurnal Bhara Petro Energi Vol.1 No.2 (November 2022)
Publisher : Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/gsfsf108

Abstract

The problem of vertical movement of water infiltrates the productive layer. This is often referred to as Water Coning. This water coning problem can occur because the actual production rate exceeds the critical production rate (the production rate that is allowed by a well to be produced free of coning), so that excessive suction results in a flow pressure gradient exceeding the gravitational force resulting in a breakthrough of the productive layer by water. Symptoms of water coning can be seen from surface symptoms, namely a significant increase in water content. The study wells are suspected of having water coning, this can be seen from the graph of the increase in water content and time, so these wells are analyzed further. As a further stage of this research by analyzing how much coning has been formed and also analyzing the development of the coning. Then determine the handling system for the coning problem. The purpose of this study is to evaluate wells that are suspected of having water coning using research methods that have been reviewed in their critical rate analysis, to analyze the evaluation of wells experiencing water coning in order to determine the factors causing it and determine a system to overcome the water problem of the coning.
Peningkatan Peluang Bisnis Strategi Industri Migas Terhadap Pengaruh Pandemi Covid-19 Di Indonesia Edy Soesanto; Aly Rasyid; Bobby Devagan
Jurnal Bhara Petro Energi Vol.1 No.2 (November 2022)
Publisher : Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/thvm7v32

Abstract

The oil as well as fuel market participates in an essential function in the Indonesian economic climate, as an income source APBN as well as a resource of power (particularly gas) towards steer different industries of lifestyle throughout Indonesia. Limitations on individual motion have actually resulted in a straight decrease popular for gas. Along with reducing usage, Covid-19 likewise has actually an effect on reducing oil as well as fuel costs as well as manufacturing, consisting of ceasing upstream tasks as well as decreasing fine-tuning tasks. Within this particular examine, monitorings were actually made from all of upstream oil as well as fuel company tasks in Indonesia particularly, since the effect of the Covid-19 pandemic consisted of the effect of worldwide problems overall, to ensure that healing initiatives could be created in addition to recommendations for handling problems that might intensify. The outcomes of this particular examine end that the avoidance of the effect of Covid-19 for the upstream oil as well as fuel company should be actually performed comprehensively as well as includes all of stakeholders, to ensure that the oil as well as fuel market can easily remain to make it through amidst the direct visibility of the Covid-19 pandemic.
Evaluasi Pemilihan Supplier Kemasan So Klin Terbaik Menggunakan Analytical Hierarchy Process di PT Sayap Mas Utama Catur Medilasito; Jasan Supratman
Jurnal Bhara Petro Energi Vol.1 No.2 (November 2022)
Publisher : Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jyqfbq69

Abstract

PT Sayap Mas Utama is a company engaged in the toiletry industry. The products produced include DAIA detergent, So Klin detergent, Economy cream soap, Blue Wings cream soap and Dang Dut cream soap. The packaging used to pack these products is plastic / cellophane roll. In its production, PT Sayap Mas Utama cooperates with several cellophane suppliers, namely Unipack, Bonavista, Toppan, and Iluva. It is required because if only work with one supplier, the production needs for packaging cannot be fulfilled. This is happened due to the productivity level of PT Sayap Mas Utama is indeed quite high. There are some suppliers has differences in the delivery of goods so that this influence to the productivity of the company. By  this research, it is expected that the company can find the best supplier by considering several criteria, namely price, quality, service, delivery accuracy, and quantity suitability. After conducting research using the Analytical Hierarchy Process (AHP) method with the help of the Expert choice application, it was found that Unipack is the best supplier with a weight value of 0.311. Next is Toppan with a weight value of 0.276, Bonavista with a weight value of 0.241 and Iluva with a weight value of 0.158.
Analisis Perhitungan Asam Klorida (HCl) Sebagai Pengontrol pH pada Air Cooling Tower pada Pabrik Pembangkit Listrik Tenaga Sampah (PLTSa) Hernowo Widodo; Rino Dwiatmaja
Jurnal Bhara Petro Energi Vol.1 No.2 (November 2022)
Publisher : Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/26fznf34

Abstract

The Garbage Power Plant (PLTSa) has a water cycle in which heat transfer occurs in the cooling tower. This study looked for the pH level of the hot ratio using samples from hydrochloric acid (HCl) tanks and cooling tower (CT) output water samples. The results obtained by several comparisons of testing and analysis were obtained by 3.6 Liters of adding hydrochloric acid (HCl) to the tank so that the heat transfer that runs on the cooling tower has a pH level of 7. If the pH level is already 7 the possibility for acids or bases to be small and can preventing and maintaining heat transfer flows.process.
Hubungan Antara Kreatifitas dan Gaya Belajar Terhadap Hasil Belajar Matematika Peserta Didik Samsul Ma’arif
Jurnal Bhara Petro Energi Vol.1 No.2 (November 2022)
Publisher : Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/cf1q0h57

Abstract

In this study it is expected to be able to reveal the relationship between creativity and student learning styles on mathematics learning outcomes. This is intended to obtain information about creativity and learning styles in relation to mathematics learning achievement. This study uses a quantitative research approach. The choice of this approach is because quantitative research is a type of research activity whose specifications are systematic, planned, and clearly structured from the start to the creation of the research design, both regarding research objectives, research subjects, research objects, data samples, data sources, and methodology. Validity is a measure that shows the levels of validity or validity of an instrument. An instrument that is valid or valid has high validity. Conversely, an instrument that is less valid means it has low validity. The instrument used in this research is a questionnaire. The questionnaire used is a closed questionnaire, that is, a questionnaire in which the questions/statements and alternative answers have been determined so that the respondent only has to choose the desired answer. The hypotheses that have been formulated will be tested with parametric statistics, namely by correlation and regression. The use of parametric statistics requires that the data for each variable to be analyzed must be normally distributed. Therefore, before testing the hypothesis, it will first be tested for normality of the data. The data normality test was performed using the chi square formula. Description of research results obtained from data collection with research instruments in the form of scores. This presentation includes the variables of creativity, learning styles, and mathematics learning outcomes which include the mean, median, mode, standard deviation, range of scores, minimum scores, and maximum scores. If Y denotes the dependent variable or learning outcomes variable in mathematics, X denotes the independent variable, Xi denotes the creativity variable, and X2 denotes the learning style variable then. Based on the output of the hypothesis testing using SPSS 16.0, the R square result was 0.068 which indicated that the price had a weak positive value, because the correlation value of 0.261 was not too large when compared to the individual correlation values between X1 and Y and X2 and Y. So that the value correlation only applies to the sample studied. Meanwhile, the value of Fcount <Ftable (2.342 <3.14) concluded that the result was not significant, which meant that this could not be applied to the entire population. From these results, there is no positive and significant relationship between creativity and learning styles to the matematic examintion result of student at MTs VIII level in Mataram Year 2015/2016.
Pemodelan Sistem Antrian Klinik Kesehatan XYZ pada Dokter Spesialis dengan menggunakan Flexsim Riski Arifin; Rafi Dio
Jurnal Bhara Petro Energi Vol.1 No.2 (November 2022)
Publisher : Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/epcz9e35

Abstract

Health services are things that must be considered by minimizing the occurrence of queuing time and providing maximum service. XYZ health clinic provides specialist doctors and pharmacies to community services. There are four main activities in the XYZ health clinic, namely registration, doctor services, pharmacy services and payments. This study simulated a queuing system using flexsim to see how many queues there were and the waiting time. The results showed that the lowest idle percentage was in doctor's services at 8.2%, and the highest percentage of working processing was 91.8%. Then for a queue of 3 people and a waiting time of 19.5 minutes waiting for a doctor's service and the number of patients handled is 13-15 people. Adding a scenario by adding a new doctor by conducting a comparative test does not make a difference in the number of patients treated.

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