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     2026:7/2

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN: (Print) | 2582-7138 (Online) | Impact Factor: 9.54 | Open Access

Integration of Petrophysical data for formation evaluation and permeability prediction in Siliciclastic sedimentary lithology

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Abstract

This study aims to conduct an integrated analysis of the M18-01 well with the approach of sedimentology, stratigraphic sequence, and petrophysical concepts. The data used include well logging data, RCAL (Routine Core Analysis), SCAL (Special Core Analysis), petrography, XRD, SEM, and biostratigraphy. The results of the analysis are used to determine the facies, depositional environment, sedimentation dynamics, cyclic stratigraphic conditions, and petrophysical properties of rocks in the target zone. In addition, permeability prediction was also carried out using the single regression method based on the regression between porosity and permeability of core rocks. The results showed that the average permeability value of this well is low for a reservoir zone. In addition, lithology analysis was also conducted using a combination of density, neutron log, and Gamma ray log. The results of this study are expected to contribute to a deeper understanding of the reservoir characteristics in the M18-01 well.

 

How to Cite This Article

Dyah Ayu Setyorini (2024). Integration of Petrophysical data for formation evaluation and permeability prediction in Siliciclastic sedimentary lithology . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 5(3), 224-233.

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