Ditapis dengan
Enhancing economic sustainability in mature oil fields: Insights from the clu…
Fluctuations in oil prices adversely affect decision making situations in which performance forecasting must be combined with realistic price forecasts. In periods of significant price drops, companies may consider extended duration of well shut-ins (i.e. temporarily stopping oil production) for economic reasons. For example, prices during the early days of the Covid-19 pandemic forced operator…
- Edisi
- Vol.5, December 2024
- ISBN/ISSN
- 2666-5441
- Deskripsi Fisik
- 16 hlm PDF, 1.767 KB
- Judul Seri
- Artificial Intelligence in Geosciences
- No. Panggil
- 551
Synthetic shear sonic log generation utilizing hybrid machine learning techni…
Compressional and shear sonic logs (DTC and DTS, respectively) are one of the effective means for determining petrophysical/geomechanical properties. However, the DTS log has limited availability mainly due to high acquisition costs. This study introduces a hybrid machine learning approach to generating synthetic DTS logs. Five wireline logs such as gamma ray (GR), density (RHOB), neutron poros…
- Edisi
- Vol.3, December 2022
- ISBN/ISSN
- 2666-5441
- Deskripsi Fisik
- 18 hlm PDF, 19.380 KB
- Judul Seri
- Artificial Intelligence in Geosciences
- No. Panggil
- 551
Novel application of unsupervised machine learning for characterization of su…
Our study pioneers an innovative use of unsupervised machine learning, a powerful tool for navigating unclassified data, to unravel the complexities of subsurface seismic activities and extract meaningful patterns. Our central objective is to comprehensively characterize seismicity within an active region by identifying distinct seismic clusters in spatial distribution, thereby gaining a deeper…
- Edisi
- Vol.24, December 2024
- ISBN/ISSN
- 2590-1974
- Deskripsi Fisik
- 9 hlm PDF, 3.121 KB
- Judul Seri
- Applied Computing and Geoscience - Open Access
- No. Panggil
- 551.136
Irida: A machine learning based code for the automated derivation of site-spe…
High resolution characterization of sub-surface geology is critical to improving the performance of reservoir models in fluid flow and reactive transport simulation studies in the fields of groundwater, CO2 geo-sequestration and oil and gas research. The modern improvements in wireline logging technology allow for the deduction of depth continuous records of individual rock properties at cm-sca…
- Edisi
- Vol.16, December 2022
- ISBN/ISSN
- 2590-1974
- Deskripsi Fisik
- 12 hlm PDF, 8,391 KB
- Judul Seri
- Applied Computing and Geoscience - Open Access
- No. Panggil
- 551.136
Unsupervised clustering of LA-ICP-MS raster map data for geological interpret…
Raster element concentration maps created using laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) can be used to interpret microscale compositional and textural domains within mineral grains. Raster maps are typically evaluated element by element; however, application of statistical techniques (such as cluster analysis) can enhance the generation of geochemical domains to …
- Edisi
- Vol.8, December 2020
- ISBN/ISSN
- 2590-1974
- Deskripsi Fisik
- 16 hlm PDF, 8.463 KB
- Judul Seri
- Applied Computing and Geoscience - Open Access
- No. Panggil
- 551.136
Amalgamations are valid in compositional data analysis, can be used in agglom…
Amalgamations (i.e. summing) of parts can be included as new parts in compositional data analysis, and logratios can then be formed using these amalgamations as well as any of the individual parts themselves. In the first contribution of this paper, a comparison is made of the performance of different logratio transformations in explaining the structure of a geochemical data set − some …
- Edisi
- Vol.5, March 2020
- ISBN/ISSN
- 2590-1974
- Deskripsi Fisik
- 8 hlm PDF, 1.521 KB
- Judul Seri
- Applied Computing and Geoscience - Open Access
- No. Panggil
- 551.136
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