Integrated porosity classification and quantification scheme for enhanced carbonate reservoir quality: Implications from the miocene malaysian carbonates

• Main Authors: Janjuhah, H.T., Kontakiotis, G., Wahid, A., Khan, D.M., Zarkogiannis, S.D., Antonarakou, A.
• Format: Article
• Published: MDPI 2021
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121665063&doi=10.3390%2fjmse9121410&partnerID=40&md5=39a0a8f1004fbd13f6d5b956d5006cd4; http://eprints.utp.edu.my/29598/

The pore system in carbonates is complicated because of the associated biological and chemical activity. Secondary porosity, on the other hand, is the result of chemical reactions that occur during diagenetic processes. A thorough understanding of the carbonate pore system is essential to hydrocarbon prospecting. Porosity classification schemes are currently limited to accurately forecast the petrophysical parameters of different reservoirs with various origins and depositional environments. Although rock classification offers a way to describe lithofacies, it has no impact on the application of the poro-perm correlation. An outstanding example of pore complexity (both in terms of type and origin) may be found in the Central Luconia carbonate system (Malaysia), which has been altered by diagenetic processes. Using transmitted light microscopy, 32 high-resolution pictures were collected of each thin segment for quantitative examination. An FESEM picture and a petrographic study of thin sections were used to quantify the grains, matrix, cement, and macroporosity (pore types). Microporosity was determined by subtracting macroporosity from total porosity using a point-counting technique. Moldic porosity (macroporosity) was shown to be the predominant type of porosity in thin sections, whereas microporosity seems to account for 40 to 50 of the overall porosity. Carbonates from the Miocene have been shown to possess a substantial quantity of microporosity, making hydrocarbon estimate and production much more difficult. It might lead to a higher level of uncertainty in the estimation of hydrocarbon reserves if ignored. Existing porosity classifications cannot be used to better understand the poro-perm correlation because of the wide range of geological characteristics. However, by considering pore types and pore structures, which may be separated into macro-and microporosity, the classification can be enhanced. Microporosity identification and classification investigations have become a key problem in limestone reservoirs across the globe. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.