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All Journal JOURNAL OF EARTH ENERGY ENGINEERING Indonesian Journal of Artificial Intelligence and Data Mining SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Teknik Mesin Jurnal Peduli Masyarakat Jurnal Natural Journal of Petroleum and Geothermal Technology Zona Laut : Jurnal Inovasi Sains dan Teknologi Kelautan Teknika Sains : Jurnal Ilmu Teknik Jurnal Teknologi Lingkungan Lahan Basah Petro : Jurnal Ilmiah Teknik Perminyakan Journal of Sustainable Energy Development Sainteknol : Jurnal Sains dan Teknologi Jurnal Teknologi Sumberdaya Mineral Scientific Contributions Oil and Gas
Riska Laksmita Sari
Department Of Petroleum Engineering, Faculty Of Engineering, University Of Jember
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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.
ANALISIS PERBANDINGAN PRODUKSI SEBELUM DAN SETELAH WELLSERVICE PADA SUMUR X LAPANGAN Y PT PERTAMINA EP Yehuda Eric Christian; Laksmita Sari, Riska
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.v2i1.498

Abstract

Well X started production on February 9th, 2012 with oil production of 217 BOPD and peak production on March 1th, 2012 with oil production of 2756 BOPD. As production progresses, the reservoir pressure will decrease resulting in a decrease in the production rate. Well X was shut-in on March 7th, 2023 with oil production of 197 BOPD and watercut reaching 91.27%. The location of this study is administratively located in Campurejo Village, Bojonegoro District, Bojonegoro Regency. Analysis of well potential and well forecasting are carried out by the Wiggins method. This method was chosen because the X well has a three-phase fluid and a high water cut. The calculation results show a maximum flow rate of 4111.52 BFPD and an optimum flow rate of 2466.91 BFPD. After calculating the optimum flow rate, and to avoid water cloning, it is recommended that wells be produced with a production flow rate of 2412.54 BFPD at a well base flow pressure (Pwf) of 1368 Psi. Keyword: well service; IPR; future IPR
Production Performance Analysis to Mature Field Development Plan: Production Performance Analysis to Mature Field Development Plan Raharjo, Cahyo Tri; Laksmita Sari, Riska
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.v2i2.2193

Abstract

The research focuses on evaluating the production performance of three oil wells-Well F55A MB, Well Hovea 13 ST1, and Well Pedirka-1-using Inflow Performance Relationship (IPR) and Vertical Lift Performance (VLP) analysis to determine optimal artificial lift methods for each case. The study explores critical production parameters such as reservoir pressure, temperature, and gas-to-oil ratio (GOR) while employing decision tree methodologies to select suitable artificial lift systems. For Well Hovea 13 ST1 and Well Pedirka-1, gas lift installations significantly enhanced oil recovery rates by optimizing injection pressures and valve placements, achieving production gains of 694 and 300 barrels per day, respectively. In contrast, Well F55A MB, characterized by high water cut and lower reservoir temperatures, was deemed unsuitable for artificial lift based on the decision tree analysis, with a stable production of 2832 stb/d. This work highlights the importance of tailored artificial lift strategies for maximizing oil recovery and improving well performance in diverse reservoir conditions.
Optimasi Produksi Menggunakan Injeksi CO2 dan Penerapan Sistem Carbon Pricing Reservoir X Wulan, Nanda; Eklezia Dwi Saputri, Eriska; Laksmita Sari, Riska
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

Indonesia tercatat sebagai salah satu negara penyumbang emisi gas CO₂ terbesar di dunia dengan total emisi mencapai 1,3 Gt di mana 50,6% berasal dari sektor industri migas. Oleh karena itu, Pemerintah Indonesia berkomitmen untuk menurunkan emisi GRK sebesar 29%. Penelitian ini bertujuan untuk mengurangi emisi GRK dengan menerapkan sistem carbon pricing pada perhitungan keekonomian dan penggunaan metode injeksi gas CO2 pada reservoir X. Selain itu, metode injeksi CO2 diharapkan nantinya dapat mengoptimalkan produksi minyak pada reservoir. Injeksi CO₂ di reservoir X dan penerapan sistem carbon pricing menggunakan skema Production Sharing Contract (PSC) Gross Split dirancang dengan data asumsi yang memiliki karakteristik minyak ringan (°API 35) dan batuan sandstone dengan kedalaman 10.000 ft. Pada awal produksi, reservoir X mengalami penurunan yang signifikan akibat aquifer support yang lemah, sehingga diterapkan Enhanced Oil Recovery (EOR) dengan injeksi CO₂ secara miscible dan immiscible. Penelitian ini menggunakan 3 skenario yang nantinya disimulasikan dan dibandingkan hasil perolehan terbaik. Skenario 3 merupakan skenario terbaik dengan menginjeksikan 1 sumur produksi dan 2 sumur injeksi yang menunjukkan peningkatan kumulatif produksi minyak lebih besar dari simulasi basecase, diperoleh nilai sebesar 7,6 MMBBL dengan recovery factor sebesar 55% dan penurunan water cut hingga 91%. Selain itu, hasil perhitungan keekonomian dengan menerapkan sistem carbon pricing menghasilkan NPV sebesar 786.678,21 USD, IRR sebesar 11%, dan Pay Out Time (POT) selama 7,4 bulan yang mengindikasikan kelayakan ekonomi proyek bagi kontraktor. Penelitian ini memberikan triple-win solution dengan meningkatkan produksi minyak, mendukung target nasional pengurangan emisi karbon, dan memberikan keuntungan ekonomi.
Performance of Lignoslfonate Derived from Coffee Husk as A Natural Emulsifier in Enhanced Oil Recovery: A Phase Behaviour Study Rindra Salam, Luthfi Rindra Salam; Riska Laksmita Sari; Welayaturromadhona
Scientific Contributions Oil and Gas Vol 48 No 3 (2025)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v48i3.1822

Abstract

The oil industry faces challenges in enhancing oil recovery while reducing environmental impact. This study explores the utilization of lignin extracted from coffee husk, an agricultural waste, as a natural emulsifier in enhanced oil recovery (EOR). The research addresses key issues including identifying lignin's functional groups via fourier transform infrared (FTIR) spectroscopy before and after sulfonation, determining compatible lignosulfonate concentrations through aqueous stability tests, and optimizing salinity for effective emulsification. Lignin was extracted via soda pulping and modified through sulfonation with sodium bisulfite (NaHSO₃) to produce lignosulfonate. FTIR analysis confirmed successful sulfonation, evidenced by new peaks at 636 cm⁻¹ (S–O) and 1101 cm⁻¹ (SO₃⁻). Aqueous stability tests at 60°C showed that a 0.8% (w/v) lignosulfonate concentration remained stable in brine with 20,000 ppm salinity. Salinity scans identified optimal conditions at 25,000 ppm, where the system achieved a balanced solubilization ratio of 0.95, indicating low interfacial tension. These results demonstrate that sulfonated coffee husk lignin has significant potential as a sustainable emulsifier for EOR applications, with a concentration of 0.8% and a salinity of 25,000 ppm being optimal for emulsion stability. This study supports circular economy principles by valorizing agricultural waste and offers a promising alternative to synthetic chemicals in the oil industry.
Peningkatan implementasi Keselamatan dan Kesehatan Kerja (K3) Destana Rambipuji dalam operasi penanggulangan bencana Hadziqul Abror; Eriska Eklezia Dwi Saputri; Riska Laksmita Sari; Welayaturromadhona Welayaturromadhona; Agus Triono
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 2 (2024): June
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i2.23443

Abstract

AbstrakDesa Rambipuji memiliki topografi daratan dengan ketinggian berkisar 145 mdpl dan dilalui oleh sungai Dinoyo yang mengalir dari hulu lereng pengunungan Argopuro. Kondisi sungai terus mengalami pendangkalan, puncaknya pasca banjir bandang 2006 dan sampai saat ini belum ada normalisasi sungai Dinoyo. Desa Rambipuji sangat rawan banjir karena permukaan air sungai Dinoyo relatif sejajar dengan perkampungan padat penduduk sehingga hampir tiap tahunnya mengalami bencana banjir. Untuk menanggulangi bencana banjir yang tiap tahun terjadi, Desa Rambipuji membentuk Desa Tanggap Bencana (Destana) Rambipuji. Destana ini secara cepat dan tanggap melakukan kerja penanggulangan bencana pada pra bencana, darurat bencana serta pasca bencana. Dalam menjalankan fungsinya, Destana terdiri dari unsur pengurus dan relawan. Destana ini sudah dibekali dengan kemampuan teknis kebencanaan, namun saat operasi penanggulangan bencana relawan seringkali bekerja dengan membahayakan diri sendiri seperti tanpa APD yang memadai dan mengabaikan potensi bahaya dari kegiatannya. Untuk itu, penting dilakukan adopsin konsep K3 dari dunia industri untuk diimplementasikan Destana Rambipuji sebagai upaya meminimalisir resiko dan meningkatkan kepatuhan relawan pada prosedur kerja yang memenuhi aspek K3. Adapun kegiatan pengabdian ini meliputi tahap persiapan program pada bulan Juni-Juli 2023; Sosialisasi K3 dalam operasi tangguh bencana dan bimbingan teknis penyusunan job safety analysis (JSA) operasi bencana yang dilaksanakan pada tanggal 29 Juli 2023; serta pendampingan penyusunan SOP kerja berbasis K3 yang dilaksanakan pada bulan Agustus-November 2023. Dari kegiatan ini, relawan Destana Rambipuji memiliki kesadaran terkait pentingnya budaya K3, mampu melakukan managemen resiko saat operasi tanggap bencana, mampu menyusun dokumen JSA, serta melengkapi SOP kerja berbasis K3. Kata kunci: K3; destana; tangguh bencana; banjir AbstractRambipuji Village has a land topography with an altitude of around 145 metres above sea level and is traversed by the Dinoyo river which flows from the upstream slopes of the Argopuro mountains. The condition of the river continues to silt up, culminating in the 2006 flash flood and until now there has been no normalisation of the Dinoyo river. Rambipuji village is prone to flooding because the Dinoyo river's water level is relatively level with the densely populated villages, so flooding occurs almost every year. To cope with the floods that occur every year, Rambipuji Village formed the Rambipuji Disaster Response Village (Destana). This Destana quickly and responsively carries out emergency work in pre-disaster, disaster emergency and post-disaster. In carrying out its functions, Destana consists of administrators and volunteers. Destana has been equipped with disaster technical skills, but during disaster management operations volunteers often work by endangering themselves such as without adequate PPE and ignoring the potential dangers of their work. For this reason, it is important to adopt the Occupational Health and Safety (OHS) concept from the industrial world to be implemented by Destana Rambipuji as an effort to minimise risk and increase volunteer compliance with work procedures that meet OHS aspects. The service activities include the program preparation stage in June-July 2023; OHS socialisation in disaster resilient operations and technical guidance on the preparation of job safety analysis (JSA) for disaster operations carried out on 29 July 2023; and assistance in preparing OHS-based work SOPs carried out in August-November 2023. From this activity, Destana Rambipuji volunteers have an awareness of the importance of OHS culture, are able to carry out risk management during disaster response operations, are able to compile JSA documents, and complete OHS-based work SOPs. Keywords: HSE; disaster response village; disaster resilience; flood
ANALISIS PENGARUH LAJU INJEKSI CO2 KONTINU DAN IMPURITAS TERHADAP RECOVERY FACTOR LAPANGAN DF dheafilla-02; Sari, Riska Laksmita
JSED Vol. 3 No. 2 (2025): Journal of Sustainable Energy Development
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jsed.v3i2.60002

Abstract

This study focuses on evaluating the impact of varying continuous CO₂ injection rates and CO₂ impurity contents, such as N₂ and CH₄, on the Recovery Factor (RF) in the DF Field. Simulations were conducted using reservoir simulation with CO₂ injection rates of 1.3 MMSCFD, 2 MMSCFD, 3 MMSCFD, and 4 MMSCFD, as well as variations in CO₂ impurity mixtures, namely CO₂ 90% + N₂ 10%, CO₂ 90.1% + CH₄ 9.9%, and CO₂ 89.8% + N₂ 5.1% + CH₄ 5.1%. The results show that increasing the CO₂ injection rate is directly proportional to an increase in the recovery factor, with the highest recovery factor of 22.00% achieved in the 4 MMSCFD injection scenario. The effect of CO₂ impurities is evident in the scenario with N₂, which increases the Minimum Miscibility Pressure (MMP), potentially reducing sweep efficiency, while CH₄ has a moderate effect on the recovery factor and does not significantly reduce efficiency. The combination of CO₂ + N₂ yields the highest recovery factor at a 4 MMSCFD injection rate, reaching 17.00%. These results indicate that selecting the appropriate injection rate and controlling CO₂ impurities play a crucial role in enhancing oil production in heterogeneous reservoirs. The conclusion of this study is that choosing the optimal injection scenario can significantly improve oil recovery while minimizing operational risks related to sweep efficiency and fluid mobility in the reservoir.
A Studi Keekonomian Pengembangan Lapangan Gas NE Menggunakan PSC Cost Recovery dan Gross Split: Economic Study of NE Gas Field Development Using Cost Recovery and Gross Split PSCs Eka Saputra, Nanda; Hadziqul Abror; Riska Laksmita Sari
JSED Vol. 3 No. 2 (2025): Journal of Sustainable Energy Development
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jsed.v3i2.60004

Abstract

The NE Field is one of the fields that has produced gas since 1970 and was not developed again after that due to certain reasons. Currently, the NE Field will be developed again to support production results to achieve the national targets that have been announced. In the development of oil and gas fields, several analyzes are needed both technically and economically. In this study, before carrying out economic analysis, the things that were carried out were a review of potential reserves and estimates of NE field development. using the volumetric method, the total reserves for the NE Field were obtained at 274.32 BCF and after calculating the Recovery Factor, the Remaining Reserve was obtained at 215.46 BCF, then determining deliverability to predict production in order to achieve the target plateau rate that had been agreed upon according to the contract and by simulating 6 wells. obtained a plateau rate of 19.74 MMscf after deducting CO2 with cumulative gas production of 129 BCF and a Recovery Factor of 67%. After obtaining production, an economic analysis was carried out and it was found that PSC Cost Recovery was more profitable for the contractor with NPV results (US$ M) 87,310.06, IRR 46%, and POT 3.41 years for PSC Cost Recovery while for PSC Gross Split the NPV results were ( US$M) 69,323.11, IRR 28%, and POT 6.27 years. And in terms of sensitivity, PSC Gross Split is more sensitive than PSC Cost Recovery.
GIS-Driven Comparative Analysis of Multi-Hazard Risks in Rural Villages: Insights from Licin District, Indonesia Welayaturromadhona; M Ardy Ardan; Agus Triono; Riska Laksmita Sari; Eriska Eklezia Dwi Saputri; Hadziqul Abror
Sainteknol : Jurnal Sains dan Teknologi Vol. 24 No. `1 (2026): `June 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sainteknol.v24i`1.39577

Abstract

In this study, the Geographic Information System (GIS) is used to assess the risk of multiple hazards in eight rural villages of Kecamatan Licin, Banyuwangi Regency, Indonesia. The study looks at six natural disasters, including floods, earthquakes, forest fires, droughts, volcanic eruptions, and landslides. It maps and classifies the level of risk using Digital Elevation Models (DEM), soil amplification factors, the Standardized Precipitation Index (SPI), and Kawasan Rawan Bencana (KRB) zonation. Weighted overlay and fuzzy logic were used to calculate the risk level of each village (low, medium, or high) with the standardized hazard factors. The results demonstrate that the risks are in very different locations. Tamansari and Kluncing villages are highly prone to multiple hazards, for instance, due to their proximity to volcanic zones, steep slopes, and floodplains. On the other hand, villages of Licin and Pakel have high risks from volcanic lahar and landslide. Villages that are close to the ground, like Banjar and Gumuk are more susceptible to flooding, while places that do not hold on to rain are more susceptible to drought. The study illustrates how risks can intersect. For example, 32% of the Tamansari area is at high risk for flooding, landslides, and volcanoes at the same time. The GIS-based framework provides useful information for selecting the best disaster prevention plans by encouraging tailored actions based on the peculiar risk profiles of each town. The results show the significance of spatial analysis to develop more disaster-resilient rural areas. This is in conformity with the Sustainable Development Goals for disaster risk reduction.
Co-Authors Adam Dwi Putra Adhy Rahutomo Saptandro Afif, Nanda Najih Habibil Agus Triono Alfan Khoirul Umam dheafilla-02 Dian Pertiwi, Permata Edward Hamid Muhammad Eka Saputra, Nanda Eriska Eklezia Dwi Saputri Eriska Saputri Fatiya Aqlin Nabila Fauji Islami Phasya Fifi Izzati Firman Sabila Hadziqul Abror Haeruddin Haeruddin Hermawan, Bagus Danial Irvan Saputra M Ardy Ardan Phasya, Fauji Islami Pijar Fitrah Ababil Putri Rizkika Ramadhanti Pedraza Raharjo, Cahyo Tri Ramadhan, Mukhammad Rizqi Rhamadhani, Devy Ayu Rindra Salam, Luthfi Rindra Salam Sabila, Firman Sauqi Nur Saputra, Irvan Sari, Dwi Astitie Indah Sartika Purwandari Welayaturromadhona Wulan, Nanda Yehuda Eric Christian