Claim Missing Document
Check
Articles

Found 25 Documents
Search

ANALISIS EKSPERIMENTAL PENGARUH SERBUK KOPI TERHADAP RHEOLOGI LUMPUR PEMBORAN Saputra, Irvan; Saputri, Eriska Eklezia Dwi; Triono, Agus; Abror, Hadziqul; Laksmita Sari, Riska; Welayaturromadhona
Petro : Jurnal Ilmiah Teknik Perminyakan Vol. 12 No. 4 (2023): DESEMBER
Publisher : Jurusan Teknik Perminyakan Fakultas Teknologi Kebumian dan Energi Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/petro.v12i4.18419

Abstract

Pada proses pemboran, formasi yang sering kali ditembus adalah formasi yang porous, unconsolidated ataupun memiliki rekahan alami yang dapat menyebabkan terjadinya loss circulation. Jika loss circulation tidak ditangani maka tekanan hidrostatik lumpur tidak mampu mengimbangi tekanan formasi sehingga terjadi kick pada sumur bahkan blow out. Dampak lainnya yang mungkin terjadi adalah pencemaran lingkungan, waktu rig tidak beroperasi akan meningkat sehingga meningkatkan biaya pemboran. Untuk mengatasi loss circulation tersebut, lumpur pemboran yang digunakan harus memiliki kandungan beberapa jenis komponen yang berfungsi menyumbat lubang terbuka di batuan. Lumpur pemboran biasanya memiliki komponen Lost Circulation Materials (LCM) yang umum digunakan dengan bahan dasar polimer. Penelitian ini akan berfokus pemanfaatan serbuk kulit kopi dan pengaruhnya terhadap rheologi lumpur pemboran, yaitu densitas dan viskositas lumpur. Penelitian ini bersifat experimental study pada laboratorium, dengan membuat lumpur dasar dan menguji sifat dari lumpur dasar serta membandingkan sifat dari lumpur dasar yang telah ditambahkan serbuk kulit kopi. Dari analisa data yang didapat, dapat disimpulkan pengaruh serbuk kulit kopi pada rheologi lumpur pemboran.
Optimasi Jaringan Pipa Sumur ESP Pada Manifold A dan Manifold Satelite untuk Meningkatkan Laju Aliran Minyak dan Analisis Perubahan Tekanan di Lapangan J Pedraza, Putri Rizkika Ramadhanti; Ayuningtyas, Rivanya; Eriska Eklezia Dwi Saputri; Hadziqul Abror
Journal of Sustainable Energy Development Vol. 2 No. 1 (2024): Journal of Sustainable Energy Development (JSED)
Publisher : Petroleum Engineering, Faculty of Engineering, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jsed.v2i1.499

Abstract

The wells in Field J, using Electrical Submersible Pumps (ESP), have replaced their natural flow operations. To optimize this ESP well and pipeline network, the research focuses on adjusting the ESP pump frequency within the Pipesim simulator, increasing it to enhance oil flow rates. This study employs a quantitative approach, where field data is analyzed and input into a simulation model that replicates real-world conditions. The analysis encompasses changes in flow rates and pressures, comparing the base case to post-optimization simulations. The results indicate a substantial increase in the initial oil flow rate from 578 STB to 720 STB/d, with an increase of 142 STB/d, when the pump frequency is raised to 60 Hz. This frequency adjustment significantly boosts pump discharge pressure, providing the added energy needed to transport fluid to the surface. Keyword: esp; pipeline network; production optimization; production simulation
Successfully Metode Workover : Re-Entry Dan Re-Evaluate Sumur Vertikal X-1 Dengan Sidetrack Dan Drilling Horizontal Pada Lapisan Top Reservoir Novanti, Natasya Dwi; Dwi Saputri, Eriska Eklezia; Gede Hermawan Manuaba, Ida Bagus
Jurnal Offshore: Oil, Production Facilities and Renewable Energy Vol. 8 No. 1 (2024): Jurnal Offshore: Oil, Production Facilities and Renewable Energy
Publisher : Universitas Proklamasi 45

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jo.v8i1.1870

Abstract

The existing well X-1 is an old vertical well that has been producing oil for many years.Water Oil Contact interval increases until it reaches the perforation depth interval as long as production oil from well is taken . This causes water coning problems to arise, causing the water cut value in this well to reach 30%. To overcome this problem, the X-1 well was closed and a workover operation was carried out with sidetrack to look for the sweet spot oil zone by evaluating the formation of the pilot hole well using a wireline log and wireline formation tester. After the sweet spot oil zone is found, horizontal drilling is carried out in the sweet spot oil zone to create the Maximize Reservoir Contact well. This workover operation was carried out in order to find zones that contain almost 100% oil, as well as reduce water production. Economic calculations were carried out to analyze the success of the pilot hole and MRC well sidetrack workover project. The research methods used to evaluate pilot hole well formations are qualitative and quantitative using the modification archie equation for carbonate reservoir on a wireline log and validated with a wireline formation tester, as well as the method for calculating the feasibility of a workover project using the Indonesian version of PSC cost recovery economics. The results obtained are that the sweet spot oil zone is at a depth of XYY7 ft with water saturation values ​​0.269635 on the wireline log and 0.000122 on the wireline formation tester and oil saturation values ​​respectively are 0.730365 and 0.999878. Based on economic analysis using the Indonesian version of the PSC cost recovery method, it can be concluded that this project is feasible to operate with positive NPV results of $2579.57 MUSD, IRR value of 142% and POT of 1.46 months. Key Words : formation evaluation, wireline log, wireline formation tester, pilot hole well, MRC Well, sweet spot oil zone, water coning, PSC cost recovery.
Coal Bed Methane di Indonesia : Review dan Permasalahannya: Coal Bed Methane in Indonesia: Review and Problems Riska Laksmita Sari; Hadziqul Abror; Eriska Eklezia Dwi Saputri; Welayaturromadhona Welayaturromadhona
Jurnal Teknologi Sumberdaya Mineral Vol. 3 No. 1 (2022)
Publisher : Program Studi Teknik Pertambangan Fakultas Teknik Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jeneral.v3i1.31696

Abstract

Coal Bed Methane (CBM) atau dalam bahasa Indonesia disebut dengan Gas Metana Batu Bara, merupakan salah satu sumber energi baru yang termasuk dalam kategori hidrokarbon nonkonvesional. CBM dinilai dapat menjadi energi alternatif gas konvensional. Diperkirakan terdapat 11 cekungan batubara darat di Indonesia dengan total sumber daya CBM prospektif sebesar 453,3 TCF. Cekungan-cekungan tersebut tersebar di wilayah Sumatera dan Kalimantan. Menurut studi yang dilakukan oleh beberapa peneliti, potensi CBM pada batu bara di Indonesia sebagian besar pada kelompok high-rank coal yang artinnya memiliki cadangan energi atau kalori yang besar. Terkait perkembangan wilayah kerja pengembangan CBM di Indonesia, dari semula berjumlah 54 blok CBM yang sudah dilakukan tanda tangan kontrak antar pemerintah dengan kontraktor, hanya tersisa 34 blok yang terdaftar dengan 2 blok dalam proses terminasi. Adannya trend menurun pengembangan proyek CBM di Indonesia ini disebabkan beberapa faktor, diantarnnya faktor teknis dan non teknis yang salah satunnya terkait regulasi pengembangan CBM sebagai gas nonkonvensional.
Edukasi Geowisata Panas Bumi dan Mitigasi Bencana melalui Sekolah Geotermal di Geopark Ijen” Welayaturromadhona, Welayaturromadhona; Sabila, Firman Sauqi Nur; Sari, Riska Laksmita; Triono, Agus; Saputri, Eriska Eklezia Dwi; Abror, Hadziqul
Jurnal Peduli Masyarakat Vol 7 No 4 (2025): Jurnal Peduli Masyarakat: Juli 2025
Publisher : Global Health Science Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/jpm.v7i4.6798

Abstract

Kawasan Kecamatan Licin, Banyuwangi, termasuk dalam wilayah yang memiliki potensi energi panas bumi sekaligus rawan terhadap bencana vulkanik. Namun, pengetahuan dan kesadaran masyarakat, khususnya pelajar, terhadap pemanfaatan energi terbarukan dan pentingnya mitigasi bencana masih belum optimal. Berdasarkan kondisi tersebut, kegiatan pengabdian kepada masyarakat ini dilaksanakan untuk meningkatkan pengetahuan dan kesadaran masyarakat, khususnya pelajar SMP di Kecamatan Licin, mengenai potensi energi panas bumi dan mitigasi bencana. Kegiatan ini merupakan kolaborasi antara Program Studi Teknik Perminyakan Universitas Jember dengan Geopark Ijen, dan dilaksanakan pada tanggal 10 Agustus 2024 di Pusat Informasi Geologi Geopark Ijen (PIGGI), Banyuwangi. Metode yang digunakan meliputi edukasi interaktif, penayangan film pendek, diskusi, serta pelatihan berbasis permainan (games) untuk meningkatkan pemahaman secara menyenangkan. Kegiatan ini diikuti oleh 13 guru pendamping dan 26 siswa dari 13 SMP di Kecamatan Licin. Hasil kegiatan menunjukkan tingginya antusiasme peserta, baik dalam sesi tanya jawab maupun partisipasi dalam kegiatan. Peningkatan pemahaman tentang energi panas bumi dan mitigasi bencana juga diukur melalui pelaksanaan post-test. Kegiatan ini juga memperkenalkan Buku Saku Energi Panas Bumi yang disusun oleh dosen dan mahasiswa sebagai media pembelajaran berkelanjutan.
The Role of Social Media/Internet During the Covid-19 Pandemic for Local Communities Around the University of Jember Prastika, Andika; Eriska Eklezia Dwi Saputri
Jurnal Masyarakat Maritim Vol 6 No 1 (2022): Mei, 2022
Publisher : Program Studi Sosiologi Fakultas Ilmu Sosial dan Ilmu Politik Universitas Maritim Raja Ali Haji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31629/jmm.v6i1.4398

Abstract

A new variant of the coronavirus, namely SARS-CoV-2 which causes a disease, namely COVID-19, began to be reported in December 2019 in Wuhan, China. The virus spread almost all over the world and arrived in Indonesia for the first time in March 2020. COVID-19 then became a concern because it claimed many lives and spread the disease very easily, namely through human-to-human droplets. Several countries, including Indonesia, have finally implemented large-scale social restrictions (PSBB) in which these restrictions affect various sectors of society, both in terms of economy, education, society, and others. Advances in technology and information now make all activities feel more efficient, especially the problem of using social media. The development of this communication technology encourages communication actors who are not only used by individuals but become an alternative that is used to provide information and education related to the COVID-19 pandemic. This study wants to explore the education of the people of Jember Regency on COVID-19 through social media in it. Furthermore, this study also identifies how the media affects the local people of the University of Jember by involving social media communication in strategies to increase awareness about efforts to handle and prevent COVID-19. The implementation method used is qualitative. The required data is obtained from the distribution of online questionnaires Keywords: covid-19, education, information, social media
Forecasting Oil Production of Well 159-F-14H in the Volve Field Using Machine Learning Model Rhamadhani, Devy Ayu; Saputri, Eriska Eklezia Dwi; Sari, Riska Laksmita
Indonesian Journal of Artificial Intelligence and Data Mining Vol 7, No 1 (2024): March 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v7i1.24907

Abstract

Petroleum engineers require information about the production performance of a well in order to know when the well is no longer feasible to produce. By using the approachment technique of machine learning, the research was conducted using a tree-based regression model, Random Forest Regressor, Extra Trees Regressor, and Gradient Boosting Regressor. This research was done by predicting the production of an existing well in the Volve field, namely well 159-F-14H using its field data; average downhole pressure, average downhole temperature, average wellhead temperature, average wellhead pressure, on-stream hours, average choke size percentage, gas volume from well, water volume from well. The data used is 1093 days and 70% is used for training and as much as 30% for testing. A comparative study was carried out on the predictive performance of the three models. Random Forest shows the best testing result as well as RMSE 5.134 and R2 0.974, followed by Gradient Boosting shows RMSE 5.927 and R2 0.965, and Extra Trees shows RMSE 6.524 and R2 0,958.
Analisa Model Machine Learning dalam Memprediksi Laju Produksi Sumur Migas 15/9-F-14H Devy Ayu Rhamadhani; Saputra, Eriska Eklezia Dwi
Journal of Sustainable Energy Development Vol. 1 No. 1 (2023)
Publisher : Petroleum Engineering, Faculty of Engineering, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

AI algorithm learns various data streams from various sources sensors and engines to extract the analytics resulting in sound advice smart based on business needs. This deep insight makes it possible for oil and gas companies to have better visibility of the whole process and operations, thereby enabling them to make strategic decisions better. This of course leads to increased operating efficiency, cost reduction, and even reduce the risk of failure. Application of artificial intelligence using machine learning to production of oil and gas wells needs to be done to get predictive results perfect. With the support of existing field data so obtained simulation results that provide an overview of the prediction of production wells can optimizing the implementation of production performance for wells that have same production history. The simulation is carried out using the development of machine learning models, Support Vector Regression (SVR), Elastic Net, dan Linear Regression. The data which contains informations about the well production will be divided into two parts, 70% for training and 30% for testing. Of the three models will be seen which one is the best in predicting the production rate of the well 15/9-F-14H based on the RMSE and R2 score. SVR is the best model for predicting oil by producing RMSE 5.48 and R2 0.88 when testing. Elastic-Net is the best model for predicting gas by producing RMSE 966.82 and R2 0.85 when testing. There is no model that fits to predict the water production.
Analisis Pengaruh Number of Stages dan Banyak Pompa ESP di Sumur X Saputri, Eriska Eklezia Dwi; Vani Nur Azizah
Journal of Sustainable Energy Development Vol. 2 No. 2 (2024): Journal of Sustainable Energy Development (JSED)
Publisher : Petroleum Engineering, Faculty of Engineering, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jsed.v2i2.1679

Abstract

In well X, there has been a decline in oil production, leading to a decrease in the company’s revenue. This is due to an increase in the watercut percentage, as the reservoir itself operates on a water drive mechanism. Therefore, a follow-up action is needed to address this situation by using an artificial lift ESP with a tandem design. This approach aims to enhance the effectiveness and economic efficiency of the production process. The artificial lift Electrical Submersible Pump (ESP) used is a CENTRILIFT with model FC2700, series 400, installed at depths of 6371 ft and 6382 ft, respectively. A comparison of the two artificial lifts shows that the number of stages in the upper section is greater than in the lower section, resulting in a higher oil flow rate at the top, reaching 68.52 STB/d. Meanwhile, in the ESP well, oil flow rate has increased by 77.46 STB/d.
Analisis Kinerja Produksi Sumur LX Menggunakan Artificial Lift PCP dan SRP Serta Pendekatan Keekonomian Gunawan, Benny; Eklezia Dwi Saputri, Eriska; Triono, Agus
Journal of Sustainable Energy Development Vol. 3 No. 1 (2025): Journal of Sustainable Energy Development (JSED)
Publisher : Petroleum Engineering, Faculty of Engineering, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the oil industry, the main challenge is to maintain a stable oil production rate, especially when reservoir pressure decreases. Therefore, artificial lift methods are used to increase production rates. The LX well is one of the wells located in the Tarakan field, North Kalimantan, where at the beginning of production the Artificial Lift method had not been used. This study aims to analyze the production performance and economic aspects of the use of 2 artificial lift methods, namely Progressive Cavity Pump (PCP) and Sucker Rod Pump (SRP). The simulation results show that the flow rate increases with increasing operating speed and number of strokes per minute. The optimal speed for PCP is 400 rpm with a flow rate of 1668.14 STB/d, while for SRP, the optimal SPM is 22 with a flow rate of 1686.89 STB/d. The analysis of the economic calculation of the use of the PCP artificial lift method obtained a POT of 0.69 years. Calculation with DCA method, obtained IRR ranging from 132% - 133% and NPV ranging from $3,499,432 - $3,842,340. Based on the results of economic calculations from the use of the SRP artificial lifting method, the POT is 1 year. Calculation with the DCA method obtained IRR values ranging from 82% - 84% and NPV ranging from $1,661,827 - $2,008,573. These results indicate that this project is financially feasible.