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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.
Optimization of Alternative CMC Sources from Rice Husk, Sawdust, and Caustic Soda, and The Effect of PH Increase on Filtration Loss and Rheology of Drilling Mud Samura, Lisa; Rosyidan , Cahaya; Maulani , Mustamina; Prima, Andry; Djumantara, Maman; Chusniyah , Dina Asmaul; Fattahanisa , Aqlyna; Satiyawira, Bayu; Mentari Gracia Soekardy; Brilliani
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.v48i4.1849

Abstract

Drilling mud plays a vital role in maintaining wellbore stability, carrying cuttings, and controlling formation pressure during drilling operations. Typically, Carboxy Methyl Cellulose (CMC) is used to enhance mud viscosity and reduce filtration loss, but its synthetic nature makes it relatively expensive. This study investigates rice husk and sawdust as natural, cost-effective alternatives to CMC. Various compositions were evaluated using the Box-Behnken design in Response Surface Methodology (RSM) to optimize the mud formulation. Results indicate that a combination of 6 g rice husk and 6 g sawdust provides the best performance in improving rheological properties such as yield point and gel strength, while significantly reducing filtration loss. Gradual addition of caustic soda (NaOH) effectively increases mud pH to the ideal range (9–11), enhancing chemical stability. RSM successfully modeled the statistical relationship among variables and facilitated identification of the optimal formulation.
Drilling Fluid Optimization Using Response Surface Methodology Satiyawira, Bayu; Maulani, Mustamina; Samura, Lisa; Pramadika, Havidh; Nugrahanti, Asri; Rosyidan, Cahaya; Prima, Andry; Arkaan, Muhammad Dzaki; 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.v48i4.1900

Abstract

Water-based drilling fluids commonly exhibit rheological degradation under high-temperature, high-pressure (HTHP) conditions, resulting in significant reductions in viscosity, yield point (YP), and gel strength (GS). Previous studies relying on conventional additives such as PAC, CMC, KOH, and NaOH have not fully resolved this issue, particularly in maintaining rheological stability at elevated temperatures. This study addresses this gap by introducing an alkaline polymer as a multifunctional additive intended to replace several conventional components while enhancing thermal resistance. Response Surface Methodology (RSM) with a Box–Behnken design was used to evaluate the combined effects of Carboxymethyl Cellulose (CMC) and alkaline polymer at three temperature levels: 80°F, 150°F, and 250°F. Experimental results show that at 150°F, the optimized formulation consists of 3.5 g CMC and 3.6 g alkaline polymer, yielding a viscosity of 17.64 cP, plastic viscosity of 12.46 cP, and a YP of 7.72 lb/100 ft², representing a substantial improvement compared to the baseline formulations, where YP values decreased significantly with temperature. The optimized mud also demonstrated improved gel strength and consistent filtrate control relative to non-optimized systems. The novelty of this study lies in the use of an alkaline polymer as a single multifunctional substitute for multiple drilling-fluid additives, combined with a multi-temperature RSM optimization framework. The findings provide a simplified, thermally stable drilling-fluid formulation suitable for HTHP environments.
A System Dynamics Approach to Analyze Biodiesel Production and Oil Import Dependency in Indonesia Andry Prima; Bayu Satiyawira; Havidh Pramadika; Daud Asrun Nauw; Lisa Samura; Mustamina Maulani; Cahaya Rosyidan; Maman Djumantara; Djunaedi Agus Wibowo; Wiwik Dahani; Osama Jawaid Butt
Scientific Contributions Oil and Gas Vol 49 No 2 (2026)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v49i2.2019

Abstract

Indonesia’s persistent dependence on imported diesel fuel poses significant challenges to national energy security, fiscal stability, and exposure to global market volatility. In response, the government plans to implement a mandatory B50 biodiesel blending policy starting in 2026 to reduce diesel imports by leveraging domestic bioenergy resources. While higher blending mandates are often assumed to directly lower imports, existing studies largely rely on static or deterministic approaches that inadequately capture feedback dynamics and long-term uncertainty. This study addresses this gap by integrating system dynamics modelling with Monte Carlo simulation to analyze the impact of biodiesel blending policies on diesel import dependency under structural and parametric uncertainty. The model incorporates biodiesel production growth, domestic allocation after exports, diesel demand growth, and blending effectiveness within a feedback-based framework calibrated using historical data from 2013 to 2024. Simulation results indicate that the B50 policy consistently reduces diesel import requirements relative to the baseline; however, absolute imports may continue to rise without sufficient domestic supply expansion. Cumulative results show that by 2035, the B50 policy achieves import reductions of approximately 55–58 million kiloliters, increasing to around 60 million kiloliters when combined with accelerated biodiesel production growth. Monte Carlo analysis reveals robust medium-term outcomes by 2030 but increasing uncertainty by 2035. The findings highlight that blending mandates must be accompanied by sustained supply-side development to ensure long-term effectiveness and resilience.