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All Journal Journal of Earth Energy Science, Engineering, and Technology Scientific Contributions Oil and Gas
Cahyaningtyas, Ndaru
Faculty Of Mineral Technology, Universitas Pembangunan Nasional “Veteran” Yogyakarta
Chemical Engineering, Chemistry & Bioengineering Energy

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The Application of Machine Learning (DT-Chan-Performance) in Determining Idle Well Reactivation Candidates at PT. Pertamina EP Regional 4 Zone 11 Cepu Field Sayoga Heru Prayitno; Boni Swadesi; Hariyadi Hariyadi; Damar Nandi Wardhana; Herlina Jayadianti; Geovanny Branchiny Imasuly; Indah Widiyaningsih; Ndaru Cahyaningtyas
Scientific Contributions Oil and Gas Vol 48 No 2 (2025)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v48i2.1657

Abstract

Indonesia faces a significant challenge in achieving its goal of oil production 1 million barrels of oil per day by 2030, particularly as it relies on old fields or mature fields (brownfields) to extract remaining hydrocarbons. One of the strategies involves reactivating of idle wells in Cepu field, managed by PT. Pertamina EP Regional 4 zone 11. This study focuses on identifying suitable candidates for reactivation through combination of research, innovation and production-focus analysis. The process begins with problem definition, aiming to understand the factors influencing idle wells and review recent advancements in reactivation prediction. Data were collected from both primary and secondary sources covering period 2018-2023. The next stage is implementing Machine Learning (ML), specifically Decision Tree (DT) model, to overcome problems related to data accuracy and complexity. A web application was developed to support decision-makers in selecting wells with high reactivation potential which can provide the best solution of increasing oil recovery. The research results show a high success rate on Accuracy Under Curve and Receiver Operating Curve score of 0.99, indication strong predictive capability. Using entropy-based analysis, two potential wells were identified for reactivation for improvement. These wells were further evaluated using Chan Diagnostic and Production Performance analysis.
Optimization of CO2 Injection Through Cyclic Huff and Puff to Improve Oil Recovery Dedi Kristanto; Hariyadi Hariyadi; Eko Widi Pramudyohadi; Aditya Kurniawan; Unggul Setiadi Nursidik; Dewi Asmorowati; Indah Widiyaningsih; Ndaru Cahyaningtyas
Scientific Contributions Oil and Gas Vol 48 No 2 (2025)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v48i2.1659

Abstract

One of the Enhanced Oil Recovery (EOR) strategies in the petroleum industry is CO2 injection using the huff and puff method. The method is performed on one well that acts as an injection and a production well. The method works by injecting a certain volume of carbon dioxide (CO2) gas into the reservoir and then closing the well for a period of time. This injection cycle can take place over several cycles. Production can be carried out after one or more cycles according to the design. In this study, CO2 injection optimization with the huff and puff method is carried out with reservoir simulation (GEM-CMG) by taking data from one of the oil and gas wells in Indonesia, with carbonate rock characteristics that are water wet. The simulation work steps include inputting data (fluid, rock properties, and production), initialization, history matching, and CO2 injection optimization with the huff and puff method. The optimization scenarios include optimization of injection pressure and number of cycles. The injection pressure scenario uses a range of 500 - 3000 psi, based on the simulation results obtained that the injection pressure of 500 psi produces the highest recovery factor (RF) of 22.2%. Then, the cyclic scenario was carried out at the optimum injection pressure (500 psi) with the number of cycles 2 - 6 cycles. From the simulation results, it is found that the number of cycles for this carbonate reservoir condition does not have a significant effect, as evidenced by the RF values ranging from 22.1 - 22.3%.
A Simulation Study on Polymer Mobility Design Strategies and Their Impact on Oil Recovery Efficiency and Displacement Mechanisms Ndaru Cahyaningtyas; Boni Swadesi; Mahruri Sanmurjana; Muhammad Rizky Rahmadsyah Lubis; Dedi Kristanto; Indah Widiyaningsih
Scientific Contributions Oil and Gas Vol 48 No 2 (2025)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v48i2.1661

Abstract

Polymer flooding is an effective enhanced oil recovery (EOR) technique, particularly when waterflooding alone proves insufficient in improving oil recovery. It is prominent to acquaint the principle of mobility control to understand the ability of polymer to overcome the oil displacement inefficiency of waterflooding, a requirement for a better sweep efficiency. This paper presents a comparative study of mobility control methods as critical parameters for polymer design. This paper investigates a simulation study of different simulation model to optimize polymer mobility design by comparing various mobility control methods. In this study, a compositional simulation model was built based on previous laboratory experiments validated by matching simulation results. Furthermore, to visualize the polymer displacement process, this study performs 1D, 2D, and 3D simulation models. The results indicates that polymer mobility design could affect the upstream viscosity, leading to high sweep efficiency and higher oil recovery. The study also suggests that the unit mobility ratio from the existing concept of conventional mobility control has invalid criteria to distinguish favourable and unfavourable conditions. The comparison with various mobility design methods reveals differences in recovery factors, influenced by some factors such as underlying assumptions and the specific conditions favoured by each method.
Optimization of Hydraulic Fracturing Modeling on The Proppant Flowback Issue Well DF-007 Nugraha, Fanata Yudha; Cahyaningtyas, Ndaru; Addin, Dhaffa Izuddin; Tony, Brian; Nandiwardhana, Damar
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/dkvxbf52

Abstract

Well DF-007, Field IA, Talang Akar Formation has low permeability that hinders well productivity. To improve production performance, hydraulic fracturing operations need to be conducted on the well. However, after the operation, a proppant flowback problem was discovered when the well was put back into production. This issue disrupts production performance and causes proppant accumulation. This problem indicates the need for a comprehensive analysis of the factors leading to proppant flowback issues, before determining a solution that addresses the root cause of the problem. The research flow begins with analyzing the factors causing proppant flowback issues such as initial production management settings, mechanical, and hydrodynamic force factors. After identifying the main issue, which is the hydrodynamic force factor, the process continues to the re-modeling stage by selecting proppants and fracturing fluids. The solution is determined by selecting the YF135.1HTD fracturing fluid with high viscosity to optimize proppant transportation, as well as choosing a combination of conventional proppants and adding resin-coated or rod-shaped proppants in the final stage to strengthen the stability of the proppant layer. The evaluation results show that the use of a combination of the fracturing fluid YF135.1HTD and the proppants BorProp 16/20 (Ceramic) + 16/20 XRT Ceramax I (Resin Coated Ceramic) can increase the average formation permeability from 5.33 mD to 181 mD, skin factor from +11.65 (damaged) to -6.03 (stimulated), fold of increase (FOI) of 8.21 times, as well as an increase in the gross rate on the inflow performance relationship (IPR) from previously 88 BFPD to 880 BFPD.
Fluid-To-Fluid Interaction of Rhamnolipid Biosurfactants with Divalent Ions: Investigation of Interfacial Tension and Emulsion Viscosity Hariyadi; Cahyaningtyas, Ndaru; Nugraha, Fanata Yudha; Larasati, Karina; Fatahillah, Azhar Faari; Astuti, Dian Indri
Scientific Contributions Oil and Gas Vol 49 No 1 (2026)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v49i1.1927

Abstract

Rhamnolipid biosurfactants derived from microbial sources have gain substantial interest as environmentally sustainable alternatives to synthetic surfactants, particularly in the realm of Microbial Enhanced Oil Recovery (MEOR). Their biodegradability, low toxicity, and effectiveness under extreme conditions make them ideal candidates for improving oil displacement in reservoir. However, the presence of divalent ions, specifically calcium (Ca²⁺) and magnesium (Mg²⁺), which are abundant in reservoir brine, can significantly affect the performance of these biosurfactants. This research investigates the influence of Ca²⁺ and Mg²⁺ ions on the phase behavior, stability, and interfacial properties of rhamnolipid-based microemulsion systems, which play a critical role in MEOR processes. A series of experiments was conducted to analyze the impact of varying concentrations of Ca²⁺ and Mg²⁺ ions on rhamnolipid microemulsions. The study evaluated phase transitions, stability, and microstructural characteristics of emulsions using a spinning drop tensiometer to measure interfacial tension (IFT) and rheological analysis to determine viscosity. The results demonstrate that both Ca²⁺ and Mg²⁺ ions influence the optimal salinity conditions required for microemulsion stability, with their presence causing shifts in the phase boundaries. Notably, Ca²⁺ ions exert a more pronounced effect on phase stability compared to Mg²⁺, leading to increased IFT and viscosity at higher concentrations. These findings further elucidates the crucial role of divalent ions in governing the stability and functionality of biosurfactant systems under reservoir conditions and highlight the importance of controlling ion concentrations to achieve efficient MEOR applications. Overall, this research provide valuable insight for optimizing the formulation of rhamnolipid-based systems to enhance oil recovery performance while mitigating the adverse effects of high divalent ion content in brine. The research contributes to ongoing efforts to improve biosurfactant efficacy, offering a pathway toward refining MEOR strategies and advancing sustainable oil recovery technologies.
Reducing Uncertainty in Idle Well Reactivation: A Novel Integrated Screening Framework for Mature Oil Fields Sayoga Heru Prayitno; Hariyadi; Indah Widiyaningsih; Ndaru Cahyaningtyas; Mia Ferian Helmy; Bintang Pramuditha
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.v49i2.2089

Abstract

Mature oil fields are increasingly challenged by declining reservoir performance, resulting in a growing number of idle wells with remaining hydrocarbon potential. Despite their strategic importance, reactivation efforts are frequently constrained by high uncertainty in candidate selection due to fragmented evaluation practices, where production behaviour, well integrity, and reservoir quality are often assessed independently. This limitation often leads to suboptimal decision-making and unsuccessful reactivation programs.This study proposes an integrated screening framework to reduce uncertainty in idle well reactivation by systematically combining production diagnostics, well integrity evaluation, and reservoir characterization within a unified workflow.The proposed methodology integrates Water-Oil Ratio (WOR) trend analysis and WOR derivative analysis for water-production diagnostics, Cement Bond Log (CBL) interpretation for cement integrity and zonal isolation assessment, and petrophysical evaluation to determine reservoir quality and hydrocarbon potential. These parameters are incorporated into structured screening criteria to enable consistent classification of reactivation potential. The framework was applied to Well BP-16 in an Indonesian mature oil field as a representative case study. The results indicate that excessive water production and poor cement bonding are the dominant factors contributing to well inactivity. The integrated evaluation also identified a previously overlooked interval at 693–696 m with favourable reservoir properties and lower water-production risk.Compared with conventional single-domain evaluations, the proposed approach provides a more comprehensive understanding of subsurface conditions by linking production behaviour, well integrity, and reservoir characteristics within a single evaluation framework. This integration improves the reliability of reactivation candidate selection and supports more effective reactivation planning. The proposed framework offers a practical and field-applicable approach for optimizing idle well utilization, improving production efficiency, and extending the economic life of mature oil fields.
Co-Authors Addin, Dhaffa Izuddin Aditya Kurniawan Astuti, Dian Indri Azhar Faari Fatahillah Bintang Pramuditha Boni Swadesi Damar Nandi Wardhana Damar Nandiwardhana, Damar Dedi Kristanto Dewi Asmorowati Dian Indri Astuti Eko Widi Pramudyohadi Fanata Yudha Nugraha Fatahillah, Azhar Faari Geovanny Branchiny Imasuly Hariyadi Hariyadi Hariyadi Hariyadi Herlina Jayadianti Indah Widiyaningsih Indah Widiyaningsih Indah Widiyaningsih Karina Larasati Karina Larasti Mahruri Sanmurjana Mia Ferian Helmy Muhammad Rizky Rahmadsyah Lubis Nugraha, Fanata Yudha Sayoga Heru Prayitno Sayoga Heru Prayitno Tony, Brian Unggul Setiadi Nursidik