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All Journal Journal of Aceh Physics Society Journal of Geoscience, Engineering, Environment, and Technology
Muhammad Ridha Adhari
Department Of Geological Engineering, Universitas Syiah Kuala, Jalan Syeikh Abdurrauf As Sinkili No.7, Darussalam, Banda Aceh, Indonesia.
Earth & Planetary Sciences Engineering Environmental Science Physics

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The Application of Lamda-Mu-Rho Seismic Inversion for Conglomerate Reservoir Characterization in Melandong Field, Northwest Java Basin Muhammad Ridha Adhari
Journal of Aceh Physics Society Volume 5 Number 1, March 2016
Publisher : PSI-Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (243.191 KB)

Abstract

Lamda (λ) Mu (μ) Rho (ρ) seismic inversion method has been applied to identify the distribution ofconglomerate reservoir in Melandong Field, Northwest Java Basin. This research used 3D pre-stack timemigration seismic dataset with one well data and a checkshot data. A sensitivity test analysis was done tosee the validity of the dataset and well seismic tie has been applied before generating a background modelfor the inversion processes. The outcomes of this research show that Lamda Rho ( λρ) inversion can be usedto detect the presence of hydrocarbon in a conglomerate rock and it is shown by value ranging between 33-39 (GPA*(Gr/cc)). Besides that, Mu Rho (μρ) inversion can indicate the rock type and it shows thatconglomerate has higher value (26 – 32 (GPA*(Gr/cc)) than claystone (20-26 (GPA*(Gr/cc)). By combiningboth Lamda-Rho and Mu-Rho inversion results, the distribution of the reservoir rock and hydrocarbon caneasily be detected and mapped.
Estimation of density log and sonic log using artificial intelligence: an example from the Perth Basin, Australia Muhammad Ridha Adhari; Muhammad Yusuf Kardawi
Journal of Geoscience, Engineering, Environment, and Technology Vol. 7 No. 4 (2022): JGEET Vol 07 No 04 : December (2022)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2022.7.4.10050

Abstract

It is well understood that with a large number of data, an excellent interpretation of the subsurface condition can be produced, and also our understandings of the subsurface conditions can be improved significantly. However, having abundant subsurface geological and petrophysical data sometimes may not be possible, mainly due to budget issues. This situation can generate issues during hydrocarbon exploration and/or development activities. In this paper, the authors tried to apply artificial intelligence (AI) techniques to estimate outcomes values of particular wireline log data, using available petrophysic data. Two types of AI were selected and these are artificial neural network (ANN), and multiple linear regression (MLR). This research aims to advance our understanding of AI and its application in geology. There are three objectives of this study: (1) to estimate sonic log (DT) and density log (RhoB) using different types of AI (ANN and MLR); (2) to assess the best AI technique that can be used to estimate certain wireline log data; and (3) to compare the estimated wireline log values with the real, recorded values from the subsurface. Findings from this study show that ANN consistently provided a better accuracy percentage compared to MLR when estimating density log (RhoB). While using different set of data and technique, estimation of sonic log (DT) produced different accuracy level. Moreover, crossplot validation of the results show that the results from ANN analysis produced higher trendline reliability (R2) and correlation coefficient (R) than the results from MLR analysis. Comparison of the estimated RhoB and DT log data with the original recorded data shows minor mismatch. This is evident that AI technique can be a reliable solution to estimate particular outcomes of wireline log data, due to limited availability of the original recorded subsurface petrophysic data. It is expected that these findings would provide new insights into the application of AI in geology, and encourage the readers to explore and expand the many possibilities of the application of AI in geology.
A geological overview of the limestone members of the Woyla Group of Sumatra, Indonesia Muhammad Ridha Adhari; Rahmat Hidayat
Journal of Geoscience, Engineering, Environment, and Technology Vol. 8 No. 3 (2023): JGEET Vol 08 No 03 : September (2023)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2023.8.3.12190

Abstract

Mesozoic limestone units of the Woyla group were identified in many places across the northern part of Sumatra, Indonesia. Even though these sedimentary rocks may play an important role as an element of the potential Pre-Tertiary hydrocarbon play of Sumatra, their characteristics are still not well understood. This study tries to fill this research gap and aims to better understand the characteristics of the limestone members of the Woyla group. There are three objectives of this study: (1) to characterise structural features, and deformation of the Woyla Group; (2) to provide sedimentary characteristics of the limestone members of the Woyla Group; and (3) to understand the main influences on the development of the limestone members of the Woyla Group. An integrated geological analyses, including structural scanline analysis, petrographic analysis, and acid digestion analysis, was conducted to achieve the objectives of this study. Findings from this research show that the limestone members of the Woyla group were strongly deformed, and structural features such as bedded strata, faults, folds, and joints were identified within these rocks. The limestone units of the Woyla group consist of at least six microfacies. These are wackestone, packstone, wackestone-packstone, packstone-rudstone, fossiliferous sandstone, and fossiliferous shale. Depositional processes, sea level fluctuations, tectonisms, and climatic variations are interpreted as the main factors influencing the development and evolution of these limestone units. It is expected that the results of this study could advance our understanding of the Pre-Tertiary carbonate rocks in general, and the Woyla group of Sumatra in particular.
Co-Authors Muhammad Yusuf Kardawi Rahmat Hidayat