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All Journal PENELITIAN DAN KARYA ILMIAH PROSIDING SEMINAR NASIONAL CENDEKIAWAN Journal of Geoscience, Engineering, Environment, and Technology JOURNAL OF EARTH ENERGY ENGINEERING Jurnal Pengabdian Farmasi Malahayati (JPFM) Jurnal Migasian Akamigas Balongan Indramayu Journal of Petroleum and Geothermal Technology BAKTI BANUA : JURNAL PENGABDIAN KEPADA MASYARAKAT Mechanical Engineering for Society and Industry JURNAL PENELITIAN DAN KARYA ILMIAH LEMBAGA PENELITIAN UNIVERSITAS TRISAKTI JUITECH: Jurnal Ilmiah Fakultas Teknik Universitas Quality Jurnal Offshore: Oil, Production Facilities, and Renewable Energy Jurnal Penelitian dan Karya Ilmiah Lembaga Penelitian Universitas Trisakti INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY Jurnal AKAL: Abdimas dan Kearifan Lokal Petro : Jurnal Ilmiah Teknik Perminyakan Journal of Earth Energy Science, Engineering, and Technology Petrogas : Journal of Energy and Technology Jurnal Migasian Advance Sustainable Science, Engineering and Technology (ASSET) Scientific Contributions Oil and Gas
Muhammad Taufiq Fathaddin, Muhammad Taufiq
Teknik Perminyakan, Universitas Trisakti
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Modeling and Prediction of Kappaphycus alvarezii Viscosity Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Fathaddin, Muhammad Taufiq; Ridaliani, Onnie; Rakhmanto, Pri Agung; Mardiana, Dwi Atty; Septianingrum, Wydhea Ayu; Irawan, Sonny; Abdillah, Ridho
Journal of Earth Energy Science, Engineering, and Technology Vol. 8 No. 3 (2025): JEESET VOL. 8 NO. 3 2025
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/fh90e382

Abstract

This study examines the viscosity behavior of Kappaphycus alvarezii polymer solutions enhanced with TiO2 nanoparticles under varying concentrations, salinity, and temperature. Predictive models were developed using Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) approaches. The experimental work involved preparing Kappaphycus alvarezii solutions with polymer concentrations ranging from 2,000 to 6,000 ppm and TiO2 nanoparticle concentrations from 2,000 to 4,000 ppm at salinities of 6,000–30,000 ppm and temperatures between 30 °C and 80 °C. Results showed that increasing Kappaphycus alvarezii concentration enhanced viscosity by 1.04–21.12%, while TiO2 nanoparticles improved viscosity stability, especially under high-salinity conditions. In contrast, higher salinity and temperature reduced viscosity due to ionic screening and increased molecular motion, although a slight rise was observed at 30,000 ppm salinity. The optimized ANN model (18 neurons, one hidden layer) achieved a superior correlation coefficient (r = 0.9980) compared to ANFIS (r = 0.8769), confirming higher predictive accuracy. These findings demonstrate the potential of Kappaphycus alvarezii–TiO2 nanofluids as sustainable viscosity modifiers for enhanced oil recovery (EOR) and verify the reliability of ANN and ANFIS models in predicting viscosity under complex multivariable interactions.
A Regression Analysis Approach to Van Everdingen-Hurst Dimensionless Water Influx Variables for Infinite and Finite Aquifers Muhammad Taufiq Fathaddin; Yarra Sutadiwiria; Taufan Marhaendrajana; Sonny Irawan; Onnie Ridaliani Prapansya; Asri Nugrahanti
Scientific Contributions Oil and Gas Vol 47 No 1 (2024)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/SCOG.47.1.1612

Abstract

Water influx calculations have relied on accurate values of the Van Everdingen-Hurst WeD dimensionless variables. For programming and hand calculators, equations are needed to determine WeD. Previous models provide equations for WeD calculations for infinite aquifer cases. This paper presents two sets of regression equations that are simple to apply to obtain accurate values of WeD for either infinite or finite aquifer cases. The proposed equations have good agreement with the Van Everdingen-Hurst method with an average difference of 0.77% and 1.18% for the cases of infinite aquifer and finite aquifer, respectively
The Effect of TiO2 Nanoparticles on The Performance of Kappaphycus Alvarezii Biopolymer for Enhanced Oil Recovery Muhammad Taufiq Fathaddin; Onnie Ridaliani Prapansya; Pri Agung Rakhmanto; Dwi Atty Mardiana; Wydhea Ayu Septianingrum; Sonny Irawan; Ridho Abdillah
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.v48i3.1909

Abstract

This study investigates the performance of a novel, environmentally friendly nanocomposite, utilizing the natural biopolymer Kappaphycus alvarezii enhanced with TiO2 nanoparticles, for Enhanced Oil Recovery (EOR) via polymer flooding. The application of this nanocomposite was aimed to simultaneously enhance microscopic displacement and macroscopic sweep efficiency. The research method used was laboratory testing which included solution stability, viscosity, interfacial tension (IFT), and rock wettability tests in various polymer concentrations (2,000–6,000 ppm), TiO₂ (2,000–4,000 ppm), and salinity (6,000–30,000 ppm) at temperatures of 30–80°C. Quantitative laboratory results confirm fluid property improvements: TiO2 addition increased the solution viscosity by up to 11 cP where an average increase up to 7.11% in high-salinity brines, reduced the Interfacial Tension (IFT) from 7.54 dyne/cm to 6.80 dyne/cm (a 9.8% reduction), and decreased the contact angle from 39.05° to 28.51°, confirming enhanced water-wetness. Core flooding experiments demonstrated that the polymer flooding yielded an incremental oil recovery factor after waterflooding ranging from 6.67% to 27.67%. The maximum total oil recovery achieved was 69.17% at the optimal concentration of Polymer 4,000 ppm and TiO2 2,000 ppm. These specific findings highlight the significant potential of the Kappaphycus alvarezii–TiO2 nanocomposite as an effective EOR agent.
Effect of friction reducing devices on wellbore formation Rini Setiati; Samuel Melvern L P Samosir; Muhammad Taufiq Fathaddin; Priagung Rakhmanto; Oknovia Susanti; Widia Yanti
Mechanical Engineering for Society and Industry Vol 5 No 1 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.11381

Abstract

Friction is one of the unavoidable factors during drilling. If not properly managed, it can significantly reduce the rate of penetration (ROP), especially in horizontal wells. This research aims to examine the effectiveness of the Friction Reduction Tool (FRT) in managing friction without causing damage to the formation. The FRT is designed to reduce friction between the drill string and the wellbore by minimizing contact. However, its performance is often influenced by two main factors: formation characteristics and drilling parameters. This study analyzes Well X-4, which was drilled without FRT, and Well X-5, which was drilled with FRT from a depth of 2837 m (MD). The analysis focuses on the tool’s impact on stick-slip issues, ROP, and mechanical specific energy (MSE). The results indicate that the use of FRT reduced stick-slip levels and MSE, enabling the drill bit to penetrate the formation more easily. Additionally, activating the FRT from the start increased the penetration rate by 18% compared to drilling without it. These findings suggest that the FRT effectively enhances the drilling rate while preserving the formation integrity.
THE USE OF BAGASSE SYNTHETIC SURFACTANTS AS MATERIAL FOR ENVIRONMENTALLY FRIENDLY POLICIES TO IMPLEMENT ENVIRONMENTAL MANAGEMENT Rini Setiati; Paulus Suryono Adisoemarta; Muhammad Taufiq Fathaddin; Tarida Surya Marpaung; Astri Rinanti; Jachanan Satriabudi
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY VOLUME 5, NUMBER 2, APRIL 2022
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/urbanenvirotech.v5i2.13534

Abstract

Aims: The aim of this research study is to show that the use of synthetic surfactant from bagasse is Environmentally Friendly Policies. Environmental management is an important step that needs to be taken on this immediate moment. Various human and industrial activities surely have affected the environment. Environmental management should include a number of groups from different varieties such as academics, policy makers, non-governmental organizations, corporations’ employees, government’s employees and related multidisciplinary groups. Methodology and Results: Environmental management will produce an ecological process and shapes industrial ecology which consists of four components namely; production, consumption, waste/by-products and raw materials. Bagasse as one of industrial solid wastes involved in environmental management will also produce ecological process. Bagasse which is produced from sugarcane processing can be further reprocessed into SLS surfactant that is useful for oil companies as injection fluid on reservoirs to improve oil recovery level. Conclusion, significance and impact of study: Environmental management can be applied between two industries that have mutualism symbiosis relationship through secondary production. Waste minimization can be achieved through bagasse processing. Sugarcane bagasse reprocessing into SLS surfactant is a sustainable program that supports sustainable material management effort. The action to reprocess natural waste into a valuable economical material can also alter human behavior into a more environmental friendly type of behavior.
Effects of Palm-Oil-Based Methyl Ester Sulfonate (MES) in Laboratory-Scale Enhanced Oil Recovery Process Ridaliani, Onnie; Samsol; Setiati, Rini; Fathaddin, Muhammad Taufiq; Anggela, Lilian; Prima, Andry; Davy, Nandito; Yanti, Widia
Scientific Contributions Oil and Gas Vol 48 No 4 (2025)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v48i4.1825

Abstract

Natural Declining oil production is often caused by reduced natural driving forces within reservoirs. To address this limitation, enhanced oil recovery (EOR) technology introduces external energy or chemical agents to mobilize residual oil. This study evaluated the performance of palm-oil-based methyl ester sulfonate (MES) an anionic and biodegradable surfactant synthesized from renewable feedstock for improving recovery efficiency under laboratory-scale conditions. Core-flood experiments were performed using Berea sandstone cores, intermediate 33°API crude oil, low salinity of 10,000 ppm, synthetic brine at 60 °C. The testing sequence included screening test of palm-oil-based MES, brine saturation, oil saturation, waterflooding, and subsequent surfactant flooding with 1.5% MES solution. During waterflooding, the recovery factor reached 62.8 %, leaving 31.29 % residual oil saturation. Injection of 1.5 wt % MES increased the recovery factor to 68.8 % and reduced residual oil saturation to 26.25 %, indicating enhanced displacement and improved microscopic sweep efficiency. The results confirmed that palm-oil-derived MES effectively mobilizes trapped oil and demonstrates strong potential as an environmentally friendly and locally available surfactant for chemical EOR applications in the reservoirs.
Viscosity Modeling of MES and SLS Using Machine Learning Method Fathaddin, Muhammad Taufiq; Setiati, Rini; Akbar, Fahrurrozi; Sumirat, Iwan; Bharoto; Ramadhan, Ranggi Sahmura; Onnie Ridaliani Prapansya; Ristawati, Arinda
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.2304

Abstract

Viscosity is crucial to improve the efficiency of injected fluids for oil displacement in reservoirs. Traditionally, research has focused on polymers that help reduce the mobility of injected fluids, while surfactant viscosity has received less consideration. This research investigated the viscosity behavior of methyl ester sulfonate (MES) and sodium lauryl sulfate (SLS) surfactant solutions using a machine learning method—adaptive neurofuzzy inference system (ANFIS). This study aimed to predict the viscosity of surfactant solutions. Experimental data included viscosity measurements of 36 MES and SLS samples at various concentrations and temperatures, obtained by digitizing viscosity curves. These data served as input and validation for the ANN and ANFIS models. The results showed that ANFIS predicted viscosity values ​​reliably, yielding only 1.33% and 0.43% differences for MES and SLS, respectively. Comparison of viscosity prediction with Artificial Neural Network (ANN) showed that ANFIS prediction was better, because ANN yielded two deviating predictions.
Characteristics and Performance of Xanthan Gum–Kappaphycus alvarezii Mixture for Increasing Oil Recovery in Reservoirs with High Salinity Septianingrum, Wydhea Ayu; Abdillah, Ridho; Iqlimah, Madhu A’la Zulaiqoh; Fathaddin, Muhammad Taufiq; Husla, Ridha; Insani, Andon; Kartini, Rachmi; Andrianaivo, Lala
Journal of Earth Energy Science, Engineering, and Technology Vol. 9 No. 2 (2026): JEESET VOL. 9 NO. 2 2026
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/n9b8cy58

Abstract

Polymer flooding is an effective Enhanced Oil Recovery (EOR) method; however, challenges arise in reservoir conditions with high salinity and temperature, which can degrade conventional polymers. This study aims to analyze the rheological characteristics and sweeping performance of a polymer mixture consisting of Xanthan Gum (XG) and a natural additive from red seaweed, Kappaphycus alvarezii (KA). The research methodology includes viscosity testing against variations in temperature and salinity (30,000–50,000 ppm), contact angle measurements for wettability evaluation, adsorption tests in porous media, and coreflooding experiments. The novelty of this research lies in the utilization of Kappaphycus alvarezii as a natural performance-enhancing agent for XG capable of significantly improving fluid-rock interactions. The results indicate that the addition of KA provides a synergistic effect in increasing solution viscosity and stability. Contact angle measurements prove that KA is much more effective in altering rock wettability to water-wet with a value of 29°, compared to XG at 87°, thus being more optimal in releasing oil from rock pores. Adsorption tests showed an increase in polymer retention as salinity rose, yet remained within operational tolerance. In the coreflooding stage, a 12,000ppm solution at 30,000 ppm salinity yielded the highest incremental recovery factor of 13.33%. Overall, the study concludes that the XG-KA mixture has high potential for application in high-salinity reservoirs due to its superiority in mobility control and wettability modification compared to the use of single polymers.
Co-Authors Abdillah, Ridho Abdul Hamid Adiguna, Muhammad Dimas Agus Guntoro Akbar, Fahrurrozi Alvita Kumala Sari Amalia Amri, Sulthoni Andhika Rama Dwiputra Andon Insani Andre Albert Sahetapy Engel Andreas Setiabudi Andrianaivo, Lala Andry Prima Andy Livsey Anggela, Lilian Anggitya Hafidh Apriandi Rizkina rangga Wastu Aqlyna Fattahanisa Arkaan, Muhammad Dzaki Asri Nugrahanti Astri Rinanti Aufariq Asaria Cifa Azica, Muhammad Raihan Baiq Maulinda Barona Belladesta Bayu Hamza Berkah Hani Bharoto Boni Swadesi Buana, Firdha Meidya Cahyaningratri P.R. Cahyaningratri Prima Riyandhani Catur Sunawan Balya Citra Wahyuningrum Daddy Sutansyah Damayanti, Sisca Danaparamita Kusumawardhani Danar Wijayanto Dardjat, Izumi Wicaksono Darmasetiawan Hakim Davy, Nandito Dewi Latifatul Aini Diah Utami Safitri Diah Utami Safitri Djoko Sulistyanto Djoko Sulistyanto Djunaedi Agus Wibowo Doddy Abdassah Dwi Atty Mardiana Dwiputra, Andhika Rama Dyah Rini Ratnaningsih Emmy Fatmi Budhya Esaim Mustafa Abrahim Omar Esaim Mustafa Abrahim Omar Fakhri Ade Andika Farhan Fidya Varayesi Gunawan Nurcahyo Wibowo Hafidh, Anggitya Hari Karyadi Oetomo Hari Karyadi Oetomo Harin Widiatni Harin Widiyatni Harin Widyatni Havidh Pramadika Husla, Ridha I Gede Dian Aryana Imam Setiaji Ronoatmojo Imros B. Kinif Iqlimah, Madhu A’la Zulaiqoh Irfan Marwanza Irvan, Rayhan Ischak, Mohammad Iwan Sumirat Jachanan Satriabudi K.Gunawan, Brahmantyo Kartika Fajarwati H. kartika fajarwati hartono Kartini, Rachmi Kartoatmodjo, R.S. Trijana Kesit Bayu Kumoro Aji Kusumawardhani, Danaparamita M.G. Sriwahyuni Mahanggi, Muhammad F.Z. Mano, Irene Nabila Mardiana, Dwi Atty Mardiana, Dwi Atty Marmora Titi Malinda Marmora Titi Malinda Maulana, Muhammad Handis Maulani, Mustamina Maulida, Fajri Mordekhai Muhammad Dimas Adiguna Muhammad Handis Maulana Novian Aribowo Nur Suhascaryo Oetomo, Hari Karyadi Oknovia Susanti Omar, Esaim Mustafa Abrahim Onnie Ridaliani Onnie Ridaliani Prapansya Onnie Ridaliani, Onnie Panca Suci Widiantoro Paulus Suryono Adisoemarta Prapansya, Onnie Ridaliani Pri Agung Rakhmanto Pri Agung Rakhmanto Pri Agung Rakhmanto Priagung Rakhmanto R. S. Trijana Kartoatmodjo Rachmaputra, Try Rachmat Sudibjo Rachmatika, Danella Rakhmanto, Pri Agung Rakhmanto, Priagung RakhmantoPri Agung Rakhmanto, Pri Agung Ramadhan, Ranggi Sahmura Ratnaningsih, Dyah Rini Ratnayu Sitaresmi Ratnayu Sitaresmi Ratnayu Sitaresmi Ratnayu Sitaresmi, Ratnayu Rendy Reza Fadhlan Ridha Husla Ridho Abdillah Rini Setiati Ristawati, Arinda Riswati, Shabrina Sri Rozi Afdi Safitri, Diah Utami Samsol Samsol Samuel Melvern L P Samosir Septianingrum, Wydhea Ayu Shabrina Sri Riswati Shabrina Sri Riswati Siahaya, Jacob Sonny Irawan Sonny Irawan Sonny Irawan Sonny Irawan Sonny Irawan Sri Feni Maulindani Sugiatmo Kasmungin Sugiatmo Kasmungin Suherman Dwi Nuryana Suryo Prakoso, Suryo Sutiadi, Andrian Sutopo, Sutopo Syavitri, Dewi Tarida Surya Marpaung Taufan Marhaendrajana, Taufan Tri Firmanto Trijana Kartoatmodjo Ulfah, Baiq Maulinda Widia Yanti Widia Yanti, Widia Widiatni, Harin Wydhea Ayu Septianingrum Yanni Florensia Imanuela Sairlela Yarra Sutadiwiria Yeftamikha Yeftamikha Yeftamikha Yulia, Prayang Sunny Yusuf, Ariq Haykal Ziad Ziad Zona Nuansa Adha Antariksa Zona Nuansa Antariksa Zulfadli B. Zakaria