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Amega Yasutra
Bandung Institute of Technology
Chemical Engineering, Chemistry & Bioengineering Energy

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PRODUCTION FORECASTING USING ARPS DECLINE CURVE MODEL WITH THE EFFECT OF ARTIFICIAL LIFT INSTALLATION Farrah Maurenza; Amega Yasutra; Iswara Lumban Tungkup
Scientific Contributions Oil and Gas Vol 46 No 1 (2023)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/SCOG.46.1.1310

Abstract

There are many methods for predicting the production performance of oil wells, using the simplest method by looking at the declining trend of production, such as Decline Curve Analysis (DCA), Material Balanced, or using reservoir simulations. Each of these methods has its advantages and disadvantages. The DCA method, the Arps method, is often used in production forecast analysis to predict production performance and estimate remaining reserves. However, the limitation of this method is that if the production system changes, the trend of decline will also change. At the same time, the application in the field of taking the trend of decreasing production does not pay attention to changes in the production system. This study aims to see that changes in the well production system will affect the downward trend of well production, estimated ultimate recovery (EUR) value, and well lifetime. To see the effect of these changes, the initial data tested used the results of reservoir simulations and field data. From the evaluation results, it is found that if the production system changes during the production time, for example, from changing natural flow using artificial lifting assistance, the trend taken from the production profile will follow the behaviour of the reservoir if the trend is taken in the last system from the production profile, not from the start of production. If the downward trend is taken without regard to the changing system, then the prediction results will not be appropriate
Mature Field and Well Revitalization: Selection of Matrix Acidizing Candidates Joe Felix Turnip; Amega Yasutra; Fahrizal Maulana; Sri Dwi Mustaqim
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.47.1.1613

Abstract

The authors were motivated to conduct this study due to a notable drop in the production of mature fields in Indonesia. This decline in production can be attributed to several factors, including reservoir heterogeneity, resulting in an uneven distribution of fluids and pressure within the reservoir. Well-stimulation techniques such as matrix acidizing can be employed to increase well production. With matrix acidizing, acid is injected into the formation surrounding the wellbore to dissolve minerals and improve permeability, thereby increasing the flow of fluids from the well. Before implementing this method, the well screening process must be conducted to optimize workflow efficiency and ensure that the wells are suitable for matrix acidizing. This paper presents a comprehensive workflow to identify the most qualified candidates for matrix acidizing. The heterogeneity index (HI) concept was used to classify the well's condition and other parameters, such as the well's estimated ultimate recovery (EUR). After obtaining a short list of wells, nodal analysis, well design for matrix acidizing, and potential gain calculation from stimulation results were performed. The study evaluated 24 wells and identified three suitable candidates for matrix acidizing, all showing significant production increases according to the production data. This study proves that using the HI concept for well selection and matrix acidizing stimulation can effectively raise well productivity in Indonesia's mature oil fields
Co-Authors Fahrizal Maulana Farrah Maurenza Iswara Lumban Tungkup Joe Felix Turnip Sri Dwi Mustaqim