cover
Contact Name
Aly Rasyid
Contact Email
aly.rasyid@dsn.ubharajaya.ac.id
Phone
+628111085034
Journal Mail Official
aly.rasyid@dsn.ubharajaya.ac.id
Editorial Address
Universitas Bhayangkara Jakarta Raya Kampus II: Jalan Raya Perjuangan No. 81, Bekasi Utara, Kota Bekasi 17121, Indonesia
Location
Kota adm. jakarta selatan,
Dki jakarta
INDONESIA
Bhara Petro Energi
ISSN : 28285530     EISSN : 28283457     DOI : https://doi.org/10.31599/bpe.v1i2
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).
Articles 9 Documents
Search results for , issue "Vol 1 No 3: December 2022" : 9 Documents clear
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 3: December 2022
Publisher : Department of Petroleum Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/bpe.v1i3.1720

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. Keywords: Cooling tower, hydrochloric acid, calculation analysis, PLTSa Reference: Akbar. 2014. Pembangkit Listrik Tenaga Sampah. http://makassargreen.blogspot.co.id/2014/03/pembangkit-listrik-tenaga sampah.html. Badan Penerapan dan Pengkajian Teknologi. (2019). BPPT Hadirkan Inovasi PLTSa Merah Putih Bantargebang, Solusi Atasi Timbunan Sampah di Kota Besar. Jakarta: Badan Penerapan dan Pengkajian Teknologi. Diambil dari BADAN PENGKAJIAN DAN PENERAPAN TEKNOLOGI - BPPT Hadirkan Inovasi PLTSa Merah Putih Bantargebang, Solusi Atasi Timbunan Sampah di Kota Besar. http://sainsedutainment.blogspot.com/2011/10/pembangkit-listrik-tenaga-sampah-pltsa.html. Nasution, D.M. 2011. Pengertian Menara Pendingin. http://repository.usu.ac.id/bitstream/123456789/22673/4/Chapter%20II.pdf. Mathie, Alton J. 1988. Chemical Treatment For Cooling Water. Fairmont Press. Qasim, Syed R. 1985. Wastewater Treatment Plants Planning, Desaign, and Operation. New York:CBS College Publishing.
Hubungan Antara Kreatifitas dan Gaya Belajar Terhadap Hasil Belajar Matematika Peserta Didik Samsul Ma'rif
JURNAL BHARA PETRO ENERGI Vol 1 No 3: December 2022
Publisher : Department of Petroleum Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/bpe.v1i3.1728

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. Reference: Arikunto, S. (2000). Prosedur Penelitian Suatu Pendekatan Praktek. Jakarta: Rineka Cipta. Suharso Puguh, (2009). Metode Penelitian Kuantitatif unuk Bisnis. Jakarta, Remaja Rosida Karya. Sugiyono. (2014). Metode Penelitian Pendidikan Pendekatan Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta. Sangadji, Etta Mamang., sopiah. (2010). Metodologi Penelitian Pendekatan Praktis dalam Penelitian. Yogyakarta: Andi. Arikunto, S. (2010). Prosedur Penelitian Suatu Pendekatan Praktik. Jakarta: Rineka Cipta. Purwanto. (2014). Evaluasi Hasil Belajar. Yogyakarta:  Pustaka Pelajar
Pemodelan Sistem Antrian Klinik Kesehatan XYZ pada Dokter Spesialis dengan menggunakan Flexsim Riski Arifin; Rafi Dio
JURNAL BHARA PETRO ENERGI Vol 1 No 3: December 2022
Publisher : Department of Petroleum Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/bpe.v1i3.1732

Abstract

Pelayanan kesehatan merupakan hal yang harus diperhatikan dengan meminimalisir terjadinya waktu antrian dan memberikan pelayanan yang maksimal. Klinik kesehatan XYZ memberikan pelayanan dokter spesialis dan apotek kepada masyarakat dengan pelayanan. Terdapat 4 aktivitas utama dalam klinik kesehatan XYZ yaitu pendaftaran, pelayanan dokter, pelayanan apotek dan pembayaran. Penelitian ini melakukan simulasi sistem antrian dengan menggunakan flexsim untuk melihat berapa jumlah antrian dan waktu menunggu antrian. Hasil yang diraih menunjukkan bahwa persentase idle terendah pada pelayanan dokter sebesar 8.2% serta persentase processing bekerja terbesar sebesar 91.8%. Kemudian untuk antrian sebanyak 3 orang dan membutuhkan waktu menunggu 19.5 menit dalam menunggu pelayanan dokter serta jumlah pasien yang ditangani sebanyak 13-15 orang. Penambahan skenario dengan menambahkan seorang dokter baru dengan melakukan uji perbandingan tidak memberikan perbedaan jumlah pasien yang ditangani. Reference:  Bataona, B.L. V, Nyoko, A.E.L. And Nursiani, N.P., 2020. Analisis Sistem Antrian Dalam Optimalisasi Layanan Di Supermarket Hyperstore. Journal Of Management : Small And Medium Enterprises (Smes), 12(2), Pp.225–237. Https://Doi.Org/10.35508/Jom.V12i2.2695. Heizer, J. And Render, B., 2005. Operations Management. Jakarta: Salemba Empat. Iqbal, M., 2011. Analisis Kinerja Sistem Pendekatan Teori Dan Praktek. Depok: Gunadarma. Kusuma, D., Anggarini, D., Alfaiz, F., Industri, J.T. And Industri, F.T., 2020. Pemodelan Dan Simulasi Sistem Antrian Pusat Kesehatan Masyarakat Di Salah Satu Kabupaten Sleman Menggunakan Software Flexsim. Seminar Nasional Ienaco, Pp.324–330. Nurdiansyah, R., Dio, R., Salaksa, B. And Arifin, R., 2018. Analisis Dan Evaluasi Performansi Umkm Afira Tailor Dengan Metode Discrete Event System Simulation. Seminar Nasional Ienaco, Pp.516–522. Nurhasanah, N., Nurlina, S. And Nugroho, T., 2017. Simulasi Flexsim Untuk Optimasi Sistem Antrian Poli Umum Rawat Jalan Rumah Sakit X. Jurnal Ilmiah Teknik Industri, 3(2), Pp.69–75. Https://Doi.Org/10.24912/Jitiuntar.V3i2.497. Wati, R., 2017. Sistem Antrian Pelayanan Pasien Pada Puskesmas Kelurahan Setiabudi Jakarta Selatan Dengan Menggunakan Waiting Line. Jurnal Techno Nusa Mandiri, 14(2), Pp.15–20.
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 3: December 2022
Publisher : Department of Petroleum Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/bpe.v1i3.1738

Abstract

PT. 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. Reference: Ahuja, I. P. S., Khamba, J. S. (2008). Total Productive Maintenance Literature Review and Directions. International Journal of Quality and Reliability Management, 25 (7), 709-756. Atmaja, L. T., Supriyadi, E., & Utaminingsih, S. (2018). Analisis Efektivitas Mesin Pressing Ph-1400 Dengan Metode Overall Equipment Effectiveness ( Oee ) Di Pt . Surya Siam Keramik. 1. Anggraini, M., Widya, M. W., Edy, K. F. B. (2017). Implementasi Metode Overall Equipment Effectiveness Dalam Menentukan Produktivitas Mesin Rotary Car Dumper. Seminar dan Konferensi Nasional IDEC 2017, 1 (1), 78-87. Hadi, S. (2019). Perawatan Dan Perbaikan Mesin Industri. Yogyakarta: Andi. Hamdy, I. M., Azizi, A. (2017). Analisis Nilai Overall Equipment Effectiveness (OEE) Pada Mesin Ripple Mill. Jurnal Hasil Penelitian dan Karya Ilmiah Dalam Bidang Industri, 3 (1), 53-58. Hamid, A., & Purnomo, S. A. (2018). Analisa Efektivitas Kinerja Mesin Turning Star SB-16 Dengan Metode Total Productive Maintenance ( TPM ) di PT Mitsuba Indonesia Dosen Teknik Industri Universitas Pamulang. Jitmi, 1 (1), 50 - 63. Hazmi, M. F., Juniani, A. I., Budiyantoro, E. N. (2017). Analisis Perhitungan OEE Dan Six Big Losses Terhadap Produktivitas Mesin Bottomer Line 4 PT. IKSG Tuban. Jurnal Conference on Safety Engineering and Application, 1 (1), 161-166. Heru, W., Ferdiansyah, F. (2018). Analisis Efektifitas Mesin Roughing Mill dengan Metode Overall Equipment Effectiveness (OEE). Jurnal Industri Manufacturing, 3 (2), 67-78. Jannah, R. M., Supriyadi., Nalhadi, A. (2017). Analisis Efektivitas Pada Mesin Centrifugal Dengan Menggunakan Metode Overall Equipment Effectiveness (OEE). Seminar Nasional Riset Terapan, 1 (1), 170-175. Karismawan, F. (2015). Pengukuran Kinerja Mesin Perusahaan Menggunakan Overall Equipment Effectiveness dan Usulan Perbaikan Menggunakan Diagram Sebab Akibat (Fish Bone) Pada CV. Jati Makmur Pasuruan. Jurnal Manajemen Teori dan Terapan, 1 (2), 107-115. Kholil, M., Maulidina, A. D., Rimawan, E. (2016).Analisa Total Productive Maintenance Terhadap Produktivitas Kapal Armada Menggunakan Metode Overall Equipment Effectiveness pada PT. Global Trans Energy International. Jurnal of Industrial Engineering and Management Systems, 9 (1), 1-18. Kholisdiantoro, S. (2016). Usulan Perbaikan Untuk Peningkatan Efektivitas Kinerja Mesin Crusher di Incinerator 2 Dengan Metode Overall Equipment Effectiveness. Teknik Industri. Universitas Bhayangkara Jakarta Raya. Rahmadhani, D. F., Taroepratjeka, H., & Fitria, L. (2014). Usulan Peningkatan Efektivitas Mesin Cetak Manual Menggunakan Metode Overall Equipment Effectiveness (OEE) (Studi Kasus Di Perusahaan Kerupuk TTN). Jurnal Online Institut Teknologi Nasional, 2 (4), 156 –165. Soemohadiwidjojo, A. T. (2017). Six Sigma metode pengukuran kinerja perusahaan berbasis statistik. Jakarta: Raih asa sukses (RAS). Suwardiyanto, P., Siregar, D., Umar, D. (2020). Analisis Perhitungan OEE dan Menentukan Six Big Losses pada Mesin Spot Welding Tipe X. Journal of Industrial and Engineering Sistem, 1 (1), 11-20.  
Evaluasi Pemilihan Electric Submersible Pump (ESP) Untuk Menggantikan Gas Lift (GL) Di Sumur X Lapangan Offshore Y Nugroho Marsiyanto; Eko Prasetio; Aly Rasyid
JURNAL BHARA PETRO ENERGI Vol 1 No 3: December 2022
Publisher : Department of Petroleum Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/bpe.v1i3.1739

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. Reference: Brown, E., Kermit, (1977). The Technology of Artificial Lift Method”, Volume 2a, Oklahoma; Pennwell Publishing Company. Brown, E., Kermit (1980). The Technology of Artificial Lift Method”, Volume 3a, Oklahoma; Pennwell Publishing Company. Data-data Lapangan Sumur X Lapangan Offshore Y. (2019-2021). Gabor, Takack. (2009). Electric Submersible Pump Manual Desingn, Operations and Maintenance. United States of America: Gulf Publishing Company. Weatherford. (2005). Artificial Lift System.  
Metode Penanggulangan Water Coning Dari Beberapa Lapangan M. Mahlil Nasution
JURNAL BHARA PETRO ENERGI Vol 1 No 3: December 2022
Publisher : Department of Petroleum Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/bpe.v1i3.1740

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. Reference: Inikori, O, S,. (2002).Numerical Study Of Water Coning Control With DWS Well Completion In Vertical And Horizontal Well Permadi, P.(1996) Fast Horizontal-Well Coning Evaluation Method. SPE 37032, P 613-622. Permadi, P. &amp; Jayadi, T., (2010). An Improve Water Coning Calculation for Horizontal Wells. SPE 133162, P 1-12. Rukmana, D., Kristanto, D., &amp; Aji, V. D. C. (2011). Teknik Reservoir Teori dan Aplikasi.Yogyakarta: Pohon Cahaya.
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 3: December 2022
Publisher : Department of Petroleum Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/bpe.v1i3.1741

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. Reference: Dito Aditia Darma, et all, Dampak Pandemi Covid-19 Terhadap Perekonomian Indonesia, Jurnal Benefita 212-224, Juli 2020. Nugroho, H. (2018a). Pemikiran Mengenai Pembangunan Industri Gas Bumi Indonesia. Depok : Institute of Development & Energy Economics. Nugroho, H. (2018b). Reserves and security of our energy supply, dalam Thoughts on   Indonesian Energy Issues & Policies. Jakarta : Bappenas Nur Laila Widyastuti, et all, Dampak Covid-19 terhadap Industri Minyak dan Gas Bumi: Rekomendasi Kebijakan untuk Indonesia, The Indonesian Journal of Development Planning Volume IV No. 2 – Juni 2020. Republik Indonesia, (2020). Anggaran Pendapatan & Belanja Negara https://www.kemenkeu.go.id/informasi-publik/uu-apbn-dan-notakeuangan/, diakses pada tanggal 10 September 2020. SKKMIGAS, https://www.skkmigas.go.id/publikasi/infographic, di akses pada tanggal 20 Oktober 2020. Tirto.id Website, Update Corona Indonesia April 2020, https://tirto.id/update-corona-indonesia-21-april-2020-data-covid-19-dunia-terkini-ePYZ, diakses tanggal 21 April 2020.
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 3: December 2022
Publisher : Department of Petroleum Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/bpe.v1i3.1742

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. Reference: Bourgeois, R. (2005). Analytical Hierarchy Process. Bogor: UNCAPSA-UNESCAP. Hanugrani, N., Setyanto, N. W., & Efanto, R. Y. (2014). Pengukuran Performansi Supply Chain dengan Menggunakan Supply Chain Operation Reference (SCOR) berbasis Analitycal Hierarchy Process (AHP) dan Objective Matrix (OMAX). Hasdi, R. F., Sudarmaningtyas, P., & Supriyanto, A. (2014). Rancang Bangun Sistem Pendukung Keputusan Pemilihan Supplier dengan Metode AHP. Laksmi, Fuad, & Budiantoro. (2008). Manajemen Perkantoran Modern. Jakarta: Pernaka. Putri, C. F. (2012). Pemilihan Supplier Bahan Baku Pengemas Dengan Metode AHP (Analitycal Hierarchy Process). Sari, D. P., & Kusumo, S. A. (2011). Evaluasi Pemilihan Supplier Terbaik Menggunakan Metode Taguchi Loss Functions dan Analytical Hierarchy Process di PT Indomaju Textindo Kudus.   Sudri, N. M., Nendisa, B. C., & Wibisono, S. (2014). Perancangan Vendor Appraisal dengan Metode Fuzzy Analytical Hierarchy Process di PT XYZ. Surjasa, D., Astuti, P., & Nugroho, H. (2005). Usulan Selection dengan Analytical Hierarchy Process dan Penenrapan Sistim Informasi dengan Konsep Vendor Managed Inventory pada PT ABC. Jakarta: Universitas Trisakti. Viarani, S. O., & Zadry, H. R. (2015). Analisis Pemilihan Pemasok dengan Metode Analitycal Hierarchy Process di Proyek Indarung VI PT Semen Padang. Wulandari, N. (t.thn.). Perancangan Sistem Pendukung Keputusan Pemilihan Supplier di PT Alfindo dengan Metode Analytical Hierarchy Process (AHP). Wulandari Ratri (2015). Pemilihan Supplier Bahan Baku Partikel Dengan Metode AHP Dan Promethee Yulianto Joko (2017). Pemilihan Alat Pancang Menggunakan Expert Choice
Studi Pengaruh Kontaminasi Properti Rheology Water Based Mud di Lapangan Sunyu Abdullah Rizky Agusman
JURNAL BHARA PETRO ENERGI Vol 1 No 3: December 2022
Publisher : Department of Petroleum Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/bpe.v1i3.1743

Abstract

This project focuses on Investigation of effect of contaminants on the Rheological Properties of Water-based Drilling Mud. For any drilling operation to be termed successful, care must be taken during the selection and application of the drilling fluid which are key factors that should be considered. Any actions contrary to carefully selection and application of drilling fluids could have very dire consequences. Based on the experiment work done on water base mud system to ascertain the effect of contaminants (salt, silica sand, cement and carbonate) on the rheological properties and performance of the mud, it shows that the presence of a contaminant on the drilling mud either reduces or increases the rheological properties of the mud system and in turn affects the rate of penetration, it performance and also poses serious drilling problems. It was observed that the presence of Sodium salt in the mud system increased the fluid loss into the formation. It was further observed that while Apparent Viscosity, Gel Strength increases as the mass increase from 1g to 5g, the pH and Plastic Viscosity almost did not change. The Yield point increases little.  With Cement as contaminant, it shows all rheological properties of the mud increased markedly, as the quantity of the cement used is increased from 1g to 5g and the pH does not change. Silica contamination has not showed any marked effect on the nature of the drilling mud. In fact, the more the amount of the contaminant (Silica) is added, the closer it properties are to the blank sample that do not have contaminants. The carbonate effect is largely on the Gel strength which decreases as the amount of added carbonate increases. The pH has no charges, which also means carbonate keeps the mud in it alkaline state, as it was the case with cement. Reference: Ali K., Vipulanandan C., Richardson D. (2013): Salt (NaCl) contamination of the resistivity and plastic viscosity of bentonite drilling mud, Proceedings of the center for innovative grouting materials and technology (CIGMAT) Conference & Exhibition. Bradford, B. B.: "Setting Cement Plugs Requires Careful Planning", Oil & Gas Journal, pp. 102, 1982. Cavanagh, P.H., Johnson, C. R., LeRoy-Delage, S., DeBruijn, G. G., Cooper, I., Guillot, D. J., Bulte, H., and Dargaud, B. (2007): "Self-Healing Cement - Novel Technology to Achieve Leak-Free Wells", SPE-105781 presented at the SPE/IADC Drilling Conference, Amsterdam, The Netherlands, 20-22 February. Chaney P.E, 1942. A Review of recent advances in drilling mud control, Drilling and Production Practice, American Petroleum Institute, 31-46.  Charlez P. H and Heugas O. (1991): Evaluation of Optimal Mud Weight In Soft Shale Levels, American rock mechanics association, The 32nd U.S. Symposium on Rock Mechanics (USRMS), 10-12 July, Norman, Oklahoma Chen, C.P. Tan and C. Detournay, (2002), the impact of mud filtration on wellbore stability fracture rock masses, SPE/ISRM 78241 presented at the SPE/ISRM rock mechanics conference held in Irving, Texas Dosunmu .A. and Ogunrinde .J. (2010) “Development of Environmentally Friendly Oil Based Mud using Palm Oil and Groundnut Oil”. SPE 140720. Paper presented at the 34th Annual International Conference and Exhibition in Tinapa-Calabar, Nigeria, July 31st- August 7th, 2010. Dusseault, M.B., Gray, M.  N., and Nawrocki, P.A.:  "Why Oil wells Leak:  Cement Behavior and Long-Term Consequences", SPE  64733 presented at the SPE International Oil and Gas Conference and Exhibition, Beijing, China, 2000. El-Sayed, A. A. H.: "Effect of Drilling Muds Contamination on Cement Slurry Properties", Fourth Saudi Engineering Conference, pp. 287-295, 1995. Ezzat, A.M., Rosser, H.R. & Al-Humam, A.A., 1997. ‘Control of Microbiological Activity in Biopolymer-Based Drilling Muds’, SPE paper 39285. 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