Issue |
MATEC Web Conf.
Volume 101, 2017
Sriwijaya International Conference on Engineering, Science and Technology (SICEST 2016)
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Article Number | 04016 | |
Number of page(s) | 6 | |
Section | Applied Technology for Sustainable Environment | |
DOI | https://doi.org/10.1051/matecconf/201710104016 | |
Published online | 09 March 2017 |
Source rock formation evaluation using TOC & Ro log model based on well-log data procesing: study case of Ngimbang formation, North East Java basin
1 Department of Geophysical Engineering, Institut Teknologi Sepuluh Nopember, 60118 Surabaya, Indonesia
2 Pertamina Upstream Technology Center, Pertamina, 10110 Jakarta, Indonesia
* Corresponding Author email: yosar94@gmail.com
Ngimbang Formation is known as one major source of hydrocarbon supply in the North Eastern Java Basin. Aged Mid-Eocene, Ngimbang is dominated by sedimentary clastic rocks mostly shale, shaly sandstone, and thick layers of limestone (CD Limestone), with thin layers of coal. Although, laboratory analyses show the Ngimbang Formation to be a relatively rich source-rocks, such data are typically too limited to regionally quantify the distribution of organic matter. To adequately sample the formation both horizontally and vertically on a basin–wide scale, large number of costly and time consuming laboratory analyses would be required. Such analyses are prone to errors from a number of sources, and core data are frequently not available at key locations. In this paper, the authors established four TOC (Total Organic Carbon Content) logging calculation models; Passey, Schmoker-Hester, Meyer-Nederloff, and Decker/Density Model by considering the geology of Ngimbang. Well data along with its available core data was used to determine the most suitable model to be applied in the well AFA-1, as well as to compare the accuracy of these TOC model values. The result shows good correlation using Decker (TOC) Model and Mallick-Raju (Ro- Vitrinite Reflectance) Model. Two source rocks potential zones were detected by these log models.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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