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Evaluasi Stimulasi Hydraulic Fracturing Dan Analisa Produktivitas Sumur Pada Formasi Sandstone Sumur ”MG-09” Lapangan ”FI” Aly Rasyid; Nugroho Marsiyanto; M Gilang Farhana Irsyad
JURNAL BHARA PETRO ENERGI Vol 1 No 2: July 2022
Publisher : Department of Petroleum Engineering

Abstract Hydraulic fracturing is a stimulation method by injecting treatment fluid to fracture a formation by using proppant (sand) as a fracture buffer media which aims to improve the production rate in the well. Fracture geometry evaluation is done to get the right fracture geometry value. In the production evaluation, using the Howard and Fast method, the Kavg value in the MG-09 well was 39.4094 mD. Based on the actual production rate after hydraulic fracturing in well MG-09 there was an increase in the total flow rate from 65 BLPD to 182 BLPD. Based on the calculation of the increase in Productivity Index, the Prats method obtained an increase in PI of 2.63 times, while the CSD method (Cinco-ley, Samaniego and Dominique) obtained a multiple of the increase in productivity (K2P) or an increase in PI of 2.63 times and the skin factor of +12 to -4.8 Based on the comparison of the three-phase IPR curve of the Pudjo-Sukarno method, where at the same Pwf of 400 psi there was an increase in oil production from 45 BOPD to 134 BOPD. Therefore, the results of the hydraulic faracturing evaluation of the MG-09 well in terms of the work process (proppant, fracturing fluid), production analysis (permeability, productivity index, increased productivity index of the prats and CSD methods, level of skin repair and IPR curve analysis) were declared successful. Keywords: Hydraulic fracturing, fluida treatment, Productivity Index, IPR tiga fasa. Abstrak Hydraulic fracturing (perekahan hidrolik) adalah suatu metode stimulasi dengan menginjeksikan fluida treatment untuk merekahkan suatu formasi dengan menggunakan proppant (pasir) sebagai media pengganjal rekahan yang bertujuan untuk meningkatkan laju produksi pada sumur. Evaluasi geometri rekahan dilakukan untuk mendapatkan nilai geometri rekahan yang tepat. Pada evaluasi produksi, dengan metode Howard dan Fast diperoleh nilai Kavg pada sumur MG-09 sebesar 39,4094 mD. Berdasarkan laju produksi aktual setelah dilakukan Hydraulic Fracturing pada sumur MG-09 terjadi peningkatan laju aliran total dari 65 BLPD menjadi 182 BLPD. Berdasarkan kalkulasi penghitungan Productivity Index, dengan metode Prats diperoleh peningkatan PI sebesar 2,63 kali, sedangkan dengan metode CSD (Cinco-ley, Samaniego dan Dominique) diperoleh angka kenaikan produktivitas (K2P) atau peningkatan PI sebesar 2,63 kali dan faktor skin dari +12 menjadi -4,8 Berdasarkan perbandingan kurva IPR tiga fasa metode Pudjo-Sukarno, dimana pada Pwf yang sama 400 psi terjadi peningkatan produksi minyak dari 45 BOPD menjadi sebesar 134 BOPD. Sehingga hasil evaluasi hydraulic faracturing pada sumur MG-09 dari segi proses kerja (proppant, fluida perekah), analisa produksi (permeabilitas, productivity index, peningkatan indeks produktifitas metode prats dan CSD, tingkat perbaikan skin dan analisis kurva IPR) dinyatakan berhasil. Kata kunci: Hydraulic fracturing, fluida treatment, Productivity Index, IPR tiga fasa. Reference: Agusman, Abdullah Rizky, Aly Rasyid, and Dika Latief Lesmana. "Evaluasi Water Shut Off Dan Membuka Lapisan Baru Sumur Bagong Di Lapangan Lesma." JURNAL BHARA PETRO ENERGI (2022): 38-43. Allen, Thomas O., Roberts, Alan P. 1989. “Production Operation 2: Well Completion, Workover and Stimulation”. Tulsa, Oklahoma: Oil & Gas Consultants Int. Inc. Carbolite Data Sheet Product Information. CARBO Ceramics, 2006. “Rencana Kerja Tahun 2014. Fungsi T. Produksi Asset 3”, PT. Bukitapit Bumi Persada. Economides, Michael J., Kenneth G. Nolte. “Reservoir Stimulation”, Houston, Texas: Energy Tribune Publishing Inc. Economides, Michael J., Martin, T. 2007. “Modern Fracturing, Enhancing Natural Gas Production”. Houston, Texas: Energy Tribune Publishing Inc. Montgomery, Carl. (2013). Fracturing fluids chapter I. Australia: NSI technology, Tulisa, Okhlama, USA. Rasyid, A., Nasution, M. M., Soesanto, E., & Afindera, H. (2021). Penentuan Zona Prospek Pada Kerja Ulang Pindah Lapisan Dengan Analisis Log Pada Lapangan X Sumur T. Jurnal Kajian Ilmiah, 21(3), 307-316. Rasyid, A., & Lestari, T. S. (2018). Penentuan Produktivitas Zona Minyak Dengan Menggunakan Modular Formation Dynamic Technology. Jurnal Kajian Ilmiah, 18(1).

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 2: July 2022
Publisher : Department of Petroleum Engineering

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. Keywords: design, offshore, construction, underwater, surfer Abstrak Perencanaan desain kontruksi bawah laut semakain banyak dikembangkan sebagai simulasi pemodelan 3D, karena simulasi 3D diharapkan dapat menjadikan rencana awal pembuatan kerangka desain. Surfer adalah salah satu dari perangkat lunak yang diciptakan untuk kegunaan pembuatan peta kontur dan pemodelan tiga dimensi yang berdasarkan grid yang ada dan mempermudah serta mempercepat akvitas konversi data ke dalam bentuk peta kontur dan plot permukaan. Salah satu aplikasi adalah Surfer dalam bidang pengembangan Teknologi Bawah laut adalah simulasi pemodelan 3D dan pembuatan peta kontur batimetri, pemodelan lapisan sedimen melalui data SBP dan pembuatan stick plot arus untuk mengetahui sirkulasi dan kecepatan dan arah arus. Selain itu, Surfer juga dapat menampilkan peta secara 2D ataupun 3D. pada kesempatan ini software Surfer 16 yang akan digunakan unutk mengolah data akustik kelautan dengan data X (Easting) ,data Y (Northing) dan enam kedalaman lapisan Z yaitu Z1-Z6, data tersebut diproses dengan sebuah tahapan untuk menjadikan model 2D dan 3D yang selanjutnya akan di interpretasi sebagai bahan simulasi perencanaan awal desain kontruksi bawah laut. Kata kunci: desain, offshore, kuntruksi, bawah laut, surfer Reference: Septina Anggiani. Pengolahan data oseanografi dengan surfer 10.0 dan odv 4.0 Surya, Yohanes Sam. 2008. Surfer8.http://www.gis4u.net [26 November2013] International Hydrographic Organization (IHO) Standard for Hydrographic Surveys, Special Publication No.44 (SP.44), 5th Edition, February 2008 Alba, J. L. and Audibert, J. M. E. (1999). “Pile design in calcareous and carbonaceous granular materials: a historical overview”, Second International Conference Engineering on for Calcareous Sediments, Bahrain American Petroleum Institute (2000). “Recommended practice for planning, designing, and constructing fixed offshore platforms-working stress design”, API Recommended Practice 2A-WSD (RP 2A-WSD), (21’‘ ed.). API, Washington, D.C Anderson, D. G. and Stokoe, K. H. (1978). “Shear modulus: a time-dependent soil property”, Dynamic Geotechnical Testing, ASTM STP 654, American Society for Testing and Materials, pp. 66-90. Angemeer, J., Carlson, E. D., and Klick, J. H. (1973). “Techniques and results of offshore pile load testing in calcareous soils”, Proceedings, Ffth Offshore Technology Conference, Houston, Vol. 2, pp. 677-692 Bogard, J. D. and Matlock, H. (1990). “Application of model pile tests to axial pile design”, Proceedings, Twenty-Second Annual Offshore Technology Conference, Houston, Paper No. 6376 Coyle, H. M. and Gibson, G. C. (1970). “Empirical damping constants for sands and clays”. Journal, Soil Mechanics and Foundations Division, ASCE, Vol. 96, No. SM3, pp. 949-965. Cox, W. R. and Reese, L. C. (1976). “Pullout tests of grouted piles in stiff”, Proceedings, Eighth Offshore Technology Conference, OTC 2473, Houston, Vol. 2, pp. 539-55 1 Datta, M., Gulhati, S. K., and Rao, G. V. (1980). “An appraisal of the existing practice of determining the axial load capacity of deep penetration piles in calcareous sands”, Proceedings, Twelfth Offshore Technology Conference, Houston, Vol. 4, pp. 1 19-1 30

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

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

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

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

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

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

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. & Jayadi, T., (2010). An Improve Water Coning Calculation for Horizontal Wells. SPE 133162, P 1-12. Rukmana, D., Kristanto, D., & 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

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

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

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Aly Rasyid

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aly.rasyid@dsn.ubharajaya.ac.id

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+628111085034

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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

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

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

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

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