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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 5 Documents
 1 
Search results for , issue "Vol 46 No 3 (2023)" : 5 Documents clear
Trap Prevention in Machine Learning in Prediction of Petrophysical Parameters: A Case Study in The Field X Adam Putra Pratama Zainuri; Pahala Dominicus Sinurat; Dedy Irawan; Hari Sasongko
Scientific Contributions Oil and Gas Vol 46 No 3 (2023)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/SCOG.46.3.1586

Abstract

Petrophysical parameters such as porosity and water saturation are vital in the petroleum industry for reservoir characterization. These aspects are typically assessed through laboratorium measurements of core samples or intricate petrophysical calculations. Machine Learning (ML) offers a cost-effective and efficient approach as an alternative to conventional methods of predicting those parameters. However, developing ML models can be prone to the invisible traps such as overfitting, underfitting, feature selection, and feature importance. This study is intended to share how to identify the traps and its mitigation by establishing a synergistic workflow between ML and petrophysical theory. A model was developed based on data from several wells in X field, where they are randomized and split into test and train data. Well-log normalization preceded data splitting, and input features were normalized with outlier removal. A feature selection function was then employed to choose a specific amount of log data. Finally, the model selection function identified the highest-scoring model. Without a proper workflow, overfitting, irrelevant feature selection, and imprecise ranking issues emerged. However, with the proper workflow, these invisible traps were mitigated, even with a relatively small dataset. The final model could accurately predict porosity and water saturation
Downstreaming Buton Asphalt Into Heavy Oil Production: A Techno-Economic Analysis Approach Danang Sismartono; Bambang Widarsono; Arie Rahmadi; Usman Usman; Wanda Ali Akbar; Djoko Sunarjanto; Aziz M Lubad; Herizal Herizal; Atyanto D Atmoko; Nurkamelia Nurkamelia; Rudi Suhartono; Sunting Kepies
Scientific Contributions Oil and Gas Vol 46 No 3 (2023)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/SCOG.46.3.1587

Abstract

Oil production from the extraction of Buton Asphalt (Asbuton) becomes an attractive bitumen to study considering that the use of  Asbuton is currently still relatively limited for asphalt needs with absorption of only 0.9% of national asphalt needs, of course this is a contradiction considering Asbuton deposits reach 667 million tons. Another factor is the high price of crude oil encouraging the use of bitumen as an alternative to crude oil, especially heavy crude oil. Bitumen reserves contained in Asbuton are capable of meeting oil refinery needs of 50,000 BOPD or the equivalent of 4.3% of domestic refinery capacity for a period of 20 years. There are two options for Bitumen production from Asbuton, namely all production comes from open pit mining or a combination of production from open pit mining (40%) and in situ extraction (60%). The techno-economic analysis was prepared with the assumption that the Asbuton production area is part of the Oil and Gas Working Area with a Cost Recovery Production Sharing Contract (PSC) scheme. The development of Bitumen production from Asbuton provides feasible economic indicators with NPV = $ 973 million and IRR = 15.2%. During the contract period, the government received revenue of $ 12.0 billion and the contractor $ 14.6 billion. This economic feasibility study is expected to enrich further our understanding over Buton asphalt utilization in support of crude oil production in the future
Relative Amplitude Preservation Analysis on Interpolation Methods of The Unaliased F-K Trace Interpolation and Regularized Nonstationary Autoregression Wahyu Triyoso; Sunawar Kunaifi
Scientific Contributions Oil and Gas Vol 46 No 3 (2023)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/SCOG.46.3.1589

Abstract

The seismic data interpolation method has been widely used to increase the fold coverage in seismic data processing. This technique can be applied to convert multi-2D lines into pseudo-3D, which is an alternative to obtaining 3D seismic volume data due to the relatively high acquisition cost. However, the quality of the seismic interpolation results is not the same as the real 3D seismic data acquisition results. This study carefully analyzed these differences to understand how accurate the results were. There are two methods used for data interpolation, namely Unaliased f-k trace interpolation (UFKI) and Regularized Interpolation Nonstationary Autoregression (RNA) methods, which are applied to 2D pre-stack data to increase the fold coverage and 3D data to convert multi-2D lines into pseudo-3D. Then, the interpolation results on the pre-stack data are evaluated on the 2D and 3D data, and an amplitude change is analyzed. It is done to test whether the amplitude of the seismic data from the interpolation results is still relatively preserved based on the evaluation results of the changes in the AVO response. The results show that the interpolation process in the receiver and shot gather domain (UFKI and RNA) could increase the fold coverage and maintain the relative amplitude preservation and AVO response
A Bibliometric Analysis of Carbonate Paragenesis Moehammad Ali Jambak; Riezky Kokky Mahendra
Scientific Contributions Oil and Gas Vol 46 No 3 (2023)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/SCOG.46.3.1590

Abstract

Endapan batuan karbonat memiliki peran yang penting dalam industri minyak dan gas dan umumnya ditemukan sebagai reservoar hidrokarbon. Porositas pada batuan reservoar berhubungan dengan proses diagenesis dan paragenesis yang menghasilkan berbagai macam tipe porositas. Paragenesis merupakan sikuen mineral yang terjadi pada suatu batuan atau endapan. Analisis yang dilakukan untuk menentukan paragenesis dapat menggunakan analisis petrografi, SEM (Scanning Electron Microscopy) dan Cathodoluminescence. Naskah ini membahas tentang analisis bibliometrik pada paragenesis dengan menggunakan VOSviewer, Open Refine, dan Tableau. Dari analisis yang telah dilakukan diperoleh 987 artikel terpublikasi dengan topik paragenesis pada tahun 1999 hingga 2022 dengan 537 penulis yang berasal dari 46 negara berbeda dan sekitar 308 publikasi mengenai paragenesis karbonat. Dengan menggunakan VOSviewer dapat diperoleh beberapa data peta bibliometrik yaitu dari penggunaan kata kunci, sitasi penulis, dan dari hubungan antar negara. Sehingga, paragenesis merupakan salah satu topik yang penting untuk dipelajari dan tidak hanya dalam bidang mineral bijih namun juga perlu untuk dipelajari pada bidang minyak dan gas serta prospek masa depan paragenesis di dunia sains cukup menjanjikan.
Best Practices to Achieve Optimal Geothermal Drilling Performance in A Cost-Effective Manner: Case Study of the Fastest Geothermal Well Drilling in Java and Sumatra Bambang Yudho Suranta; Irfan Rasyid; Akhmad Sofyan; Arif Rahutama
Scientific Contributions Oil and Gas Vol 46 No 3 (2023)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/SCOG.46.3.1591

Abstract

Indonesia, recognized for possessing substantial geothermal energy potential, is working towards harnessing the resource to achieve numerous objectives. Among the primary challenges encountered is the considerable expense of geothermal drilling. One of the most significant obstacles to achieving this objective is the high drilling cost, which constitutes 35-40% of the total cost of geothermal energy development. The drilling cost is mainly affected by the time needed to drill one well because the faster the time, the lower the cost. Therefore, this research analyzed drilling activities, identified the fastest and most effective methods for optimal geothermal drilling performance, and reduced costs. The research also determined the factors that contributed to the sustained status of Well X as the fastest well drilled in the past decade. The methodology comprised literature review, data collection through adequate background on well and geothermal field, and data analysis. The result showed that the fastest drilling operation of a geothermal well in Indonesia in 2012 occured in West Java (Well X) for only 9.9 days with 1736.5 meters (mMD). Meanwhile, in 2021, Well Y in Sumatra spent 21.74 days to reach a depth of 2200 mMD. The use of a single-run and clean-out Bottom Hole Assembly (BHA) throughout the entire section affected the drilling duration and significantly reduced the inner side cleaning time, respectively. The cost of Well Y drilling, achieved using the best performance of two wells, reduced drilling costs by 19.2%.

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