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

Xuanran Li, Jingcai Wang, Dingding Zhao (), Jun Ni, Yaping Lin, Angang Zhang, Lun Zhao and Yuming Liu ()
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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
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

Energies, 2022, vol. 15, issue 19, 1-15

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.

Keywords: complex porosity–permeability relationship; water-flooded zone; oil column height; reservoir classification; capillary pressure; resistivity; water production rate (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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