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Scientific Contributions Oil and Gas
Published by LEMIGAS
ISSN : 20893361     EISSN : 25410520     DOI : -
Core Subject : Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Energy
The Scientific Contributions for Oil and Gas is the official journal of the Testing Center for Oil and Gas LEMIGAS for the dissemination of information on research activities, technology engineering development and laboratory testing in the oil and gas field. Manuscripts in English are accepted from all in any institutions, college and industry oil and gas throughout the country and overseas.
Arjuna Subject : Energi (semua kategori) - Teknologi Bahan Bakar
Articles 7 Documents
 1 
Search results for , issue "Vol 47 No 1 (2024)" : 7 Documents clear
The Study of The Sealing Performance of Fibrous-Laden Drilling Fluid Over Simulated Lost Zone Under Overbalanced Pressure Conditions Purnomosidi Purnomosidi; Paul D Hallett; Waheed Afzal; Erdila Indriani
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.47.1.1592

Abstract

Numerous studies have examined the sealing capabilities of fibrous-amended drilling fluid by measuring filtrate volumes and assessing how well the fibrous plant fragments close fissures. Limited studies have been conducted on the mechanical strength of these materials during the sealing process and their response to plastering pressure. Therefore, this study addressed this gap by providing new data on the relationship between the mechanical strength of fibres and the operating pressure of drilling muds, specifically in preventing lost circulation. The study was carried out using a new experimental methodology involving a high-precision universal tensile machine, which accurately measured the performance of plant fragments in the sealing varying diameters of simulated fractures. Furthermore, the simulated fractures with sizes commonly observed in the field were created to mimic real lost circulation scenarios. The sealing pressure of each fibrous-laden drilling fluid were also observed. The results showed that drilling muds without fibrous additives failed to prevent continued circulation loss, as it lacks the structural integrity necessary for forming a solid muds cake and inhibits infiltration. In contrast, adding plant fragments to drilling muds enables the formation of robust muds cake structures, effectively mitigating drilling fluid losses.
Comparison of Facies Estimation of Well Log Data Using Machine Learning Arya Dwi Candra; Pradini Rahalintar; Sulistiyono Sulistiyono; Urip Nurwijayanto Prabowo
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.47.1.1593

Abstract

Accurately identifying lithological facies is crucial for comprehending geological variations in a proven reservoir. To enhance the accuracy of facies classification compared to previous studies on the same dataset, five distinct machine learning algorithms were employed to predict facies in both a panoma field dataset and Z-Field, Indonesia. The analysis data samples with known facies, originating from core data from Panoma Field and Z-Field. Facies classification was addressed using five well-known classification algorithms, namely K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Neural Network Classifier (NNC), Random Forest Classifier (RFC), and Decision Tree Classifier (DTC). The dataset was divided into training and testing subsets to evaluate the machine learning models. The five suggested algorithms demonstrate effective facies prediction, closely aligning with the actual facies in the test wells within the Panoma field. However, these algorithms struggle to predict facies accurately in the Z field well, primarily attributed to the imbalanced data distribution between sandstone-claystone and siltstone-limestone. Equalizing the number of facies labels in the training data becomes essential to enable the algorithm to recognize patterns and accurately estimate all facies types
Top Product Yield Optimization of Depropanizer Column 1-2 in Alkylation Unit At PT. PI Pangeran Rafli Pasha; Annasit Annasit; Sebhan Mulyawan
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.47.1.1594

Abstract

Alkylation Unit is a component of PT PI Unit, tasked with processing feedstocks similar to Spent Propane-Propylene from Polypropylene Unit and Residual Butane-Butylene from Polymerization Unit. The Alkylation Unit is used to produce products such as Light Alkilate, Refrigerant, LPG C-4, and by-products in the form of High Alkilate. Depropanizer Column 1-2 found in this component plays an important role in separating the propane-propylene mix from n-Butane and heavier components through pressurized distillation. Depropanizer Column feed comes from the overhead product of Desiobuthanizer Column 1-1, while 1-2 column is equipped with 40 valve trays. Therefore, this research aims to evaluate the performance and efficiency of Depropanizer Column 1-2. The evaluation process was carried out with feed flow rate, temperature, column pressure, and hydrocarbon composition of 40.152 tons/day, 55.48oC, 17.38 kg/cm2, and from the laboratory, respectively. The theoretical number of trays and reflux ratio were 28 pieces and 10 at 69% efficiency. Optimization experiments were conducted to determine the optimal operating conditions to obtain the highest revenue for the top product. Based on trial and error experiments with Aspen Hysys Study Case, the result showed that the optimal conditions are achieved when the column conditions operated at reboiler temperature of 95oC and reflux flow of 90 tons/day to obtain a top product yield of 5.4592 tons/day with purity of 99.5% w/w.
Development of CO2 Hub-Clustering Management in The South Sumatra Basin Fanata Y Nugraha; M. Firdaus Al Hakim; Brian Tony; Damar Nandiwardhana; Steven Chandra
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.47.1.1607

Abstract

The escalating urgency of mitigating climate change demands immediate and effective strategies, with Carbon Capture and Storage (CCS) emerging as a pivotal solution. This scientific study presents a systematic and quantitative approach to selecting carbon dioxide (CO2) storage sites, focusing on the petrochemical industry in South Sumatra as the CO2 source, with annual emissions reaching 3.5 MtCO2. A comprehensive screening process was executed, employing 14 distinct criteria, each assigned a weighted score, to ensure the inclusion of technically feasible CO2 capture and storage options. Notably, the emphasis on Subsurface Data Analysis, encompassing vital factors such as storage reservoirs, boundary zones, traps, potential injectivity, prospective storage resources, and existing seismic data, served as a cornerstone in enhancing the robustness of our assessments. The research successfully identifies 15 CO2 storage fields, with a total storage capacity of up to 475 MtCO2. This quantitative evidence underscores the substantial potential for large-scale CO2 storage within the study area. Furthermore, considering spatial dynamics, with two distinct scenarios within a 100 km and 200 km radius of CO2 emission sources, provided precise quantitative insights into the geographical distribution of these storage sites relative to emission sources. It is crucial to note that optimizing pipeline infrastructure and utilizing existing Right of Way (ROW) were quantitatively validated as cost-effective measures for CO2 distribution, which is especially significant given the urgency of implementing CCS. Spatial calculations supported the proposal of a 600-kilometer pipeline route, demonstrating the quantitative feasibility of leveraging existing infrastructure to facilitate extensive CO2 management. This research could help in understanding large-scale CO2 storage potential and provides valuable insights for CCS policy and business development in South Sumatra
Optimization of Heavy Key Composition of Distillate in Deisobutanizer Column Using Aspen Hysys with Flow Rate Reflux and Reboiler Temperature in Alkylation Unit at Company PEP Aditya Dharmawan; Mahdi Suweleh; Sebhan Mulyawan
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.47.1.1609

Abstract

The mass fraction of specific components is used to determine the product quality in distillation column process. Therefore, there is a need for sophisticated optimization strategies to identify ideal reflux flow rates and reboiler temperatures during operation. In distillation column, the most influential variables are reflux flow rate and reboiler temperature, which means the quantity and quality of distillate heavy fraction must remain below 3%. Simulation through Aspen Hysys identified optimal operating conditions at a 200 tons/day reflux flow rate and reboiler temperature of 72.58°C, decreasing from 3.38% to 2.19% by company standards. Following this optimization, an analysis of energy savings was conducted to compare actual field conditions and optimization at energy consumption levels of 2,989 kW and 1,688 kW, respectively. Energy savings were 1,301 kW in deisobutanizer column, downstream equipment, and depropanizer column feed pump. The energy required for deisobutanizer column pump was reduced from 0.907 kW to 0.88 kW after optimization, with a significant decrease in depropanizer column. The results showed an overall figure of the positive impact of optimizing operations in the central distillation column.
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
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

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