Application of Rapid Trend Fracture Prediction Technology in Feixianguan Reservoir
- DOI
- 10.2991/978-94-6463-415-0_72How to use a DOI?
- Keywords
- carbonate rock; Feixianguan; rapid trend; residual analysis; crack prediction; discontinuity detection
- Abstract
The main reservoir spaces of Feixianguan carbonate reservoirs in the eastern Sichuan region are various types of pores, caves, and fractures. Common reservoir types include fracture-pore type, pore type, and fracture type. From core analysis and testing, it can be seen that the reservoir type of the Feixianguan Formation oolitic beach reservoir in this area is of the fracture-pore type. Therefore, the prediction of the occurrence and development zones of cracks is the basis for the prediction of favorable sweet spot areas. In response to the multi-scale and heterogeneity of cracks in this area, based on rock density theory, the rapid trend crack technology is used to study the distribution pattern of cracks in this area, and the dominant crack development zones are ultimately selected. The prediction methods are compared and evaluated. This method has achieved good results in predicting the fracture zone of Feixianguan reservoir in the eastern Sichuan region.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Qiancheng Xu AU - Lei Chen AU - Yan Zhang PY - 2024 DA - 2024/05/14 TI - Application of Rapid Trend Fracture Prediction Technology in Feixianguan Reservoir BT - Proceedings of the 2023 9th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2023) PB - Atlantis Press SP - 678 EP - 685 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-415-0_72 DO - 10.2991/978-94-6463-415-0_72 ID - Xu2024 ER -