Application of Flow Unit Study in Development Carbonate Reservoir - A Case from Z Oilfield, Kazakhstan
- DOI
- 10.2991/icmia-17.2017.70How to use a DOI?
- Keywords
- Carbonate reservoir;Cluster analysis;Flow unit;Logging response;permeability model;Guiding the arrangement of wells
- Abstract
For carbonate reservoirs with great heterogeneity, the flow unit study can provide fine anatomical sand-bodies and more accurately characterize the internal heterogeneities of sand-bodies. By using the mode of flow unit study, it can provide guidelines for the research and adjustment of remaining oil in the later stage of reservoir development. In this paper, a case of carbonate reservoir characteristics from Kazakhstan, by using theory of flow unit, combined with lithology, physical properties and its micro-pore structure for the characteristics of the carbonate reservoir of KT- I in Upper Carboniferous. By the corresponding cluster analysis method, the flow unit types, characteristics of the carbonate reservoir and the relationship between the flow unit index and the logging response are studied, and the method of logging response curve evaluation is realized. On basis for the classification of flow units, established a more reasonable permeability evaluation model, analyzed and expounded the different relationships between flow unit and capacity of reservoir. The application of guiding the arrangement of oil and gas wells, predicting the position with high productivity, quantitative analyzing reserve production conditions are included.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Ye Tao AU - Wei Sun AU - Qiang Zheng PY - 2017/06 DA - 2017/06 TI - Application of Flow Unit Study in Development Carbonate Reservoir - A Case from Z Oilfield, Kazakhstan BT - Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017) PB - Atlantis Press SP - 383 EP - 390 SN - 1951-6851 UR - https://doi.org/10.2991/icmia-17.2017.70 DO - 10.2991/icmia-17.2017.70 ID - Tao2017/06 ER -