Author
Listed:
- Xuanran Li
(PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China)
- Jingcai Wang
(PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China)
- Dingding Zhao
(State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum-Beijing, Beijing 102249, China
College of Geosciences, China University of Petroleum-Beijing, Beijing 102249, China)
- Jun Ni
(PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China)
- Yaping Lin
(PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China)
- Angang Zhang
(PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China)
- Lun Zhao
(PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China)
- Yuming Liu
(State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum-Beijing, Beijing 102249, China
College of Geosciences, China University of Petroleum-Beijing, Beijing 102249, China)
Abstract
The water-flooded zone in a sandstone reservoir with a complex porosity–permeability relationship is difficult to interpret quantitatively. Taking the P Formation of Kalamkas Oilfield in Kazakhstan as an example, this paper proposed a reservoir classification method that introduces the J-function into the crossplot of resistivity and oil column height to realize the classification of sandstone reservoirs with a complex porosity–permeability relationship. Based on the classification results, the initial resistivity calculation models of classified reservoirs were established. The oil–water seepage experiment was performed for classified reservoirs to measure the lithoelectric parameters and establish the relationship between water production rate and resistivity for these reservoirs, and then water production was quantitatively calculated according to the difference between the inverted initial resistivity and the measured resistivity. The results show that the reservoirs with an unclear porosity–permeability relationship can be classified by applying the J-function corresponding to grouped capillary pressure curves to the crossplot of oil column height and resistivity, according to the group average principle of capillary pressure curves. This method can solve the problem that difficult reservoir classification caused by a weak porosity–permeability correlation. Moreover, based on the results of reservoir classification, the water production rate and resistivity model of classified reservoirs is established. In this way, the accuracy of quantitative interpretation of the water-flooded zone in the reservoir can be greatly improved.
Suggested Citation
Xuanran Li & Jingcai Wang & Dingding Zhao & Jun Ni & Yaping Lin & Angang Zhang & Lun Zhao & Yuming Liu, 2022.
"Quantitative Evaluation of Water-Flooded Zone in a Sandstone Reservoir with Complex Porosity–Permeability Relationship Based on J-Function Classification: A Case Study of Kalamkas Oilfield,"
Energies, MDPI, vol. 15(19), pages 1-15, September.
Handle:
RePEc:gam:jeners:v:15:y:2022:i:19:p:7037-:d:924658
Download full text from publisher
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7037-:d:924658. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.