Flooding mechanism of biolithite based on progressive ion exchange model: an example of the Wangxuzhuang biolithite reservoir in the Dagang oilfield

Author:

Sun Jianmeng1,Lv Xindi1,Zong Jie2,Ma Shuiping2,Wu Yong2,Huang Xiaodi2,Chi Ming3,Feng Xueyin1,Yan Weichao1

Affiliation:

1. School of Geosciences, China University of Petroleum, Qingdao, Shandong 266555, China

2. No. 2 Oil Production Plant, Dagang Oilfield Company, PetroChina, Cangzhou City, Hebei Province, 061103, China

3. Liaohe Branch, China Petroleum Logging (CPL) Co., Ltd Panjin, Liaoning, 124011, China

Abstract

Abstract The biolithite reservoir has a strong heterogeneity and complex pore structure, and the changing trend of formation resistivity is complicated during the waterflood development process. In the logging interpretation of a water-flooded layer, mixed-formation water resistivity is a critical parameter and its accurate calculation heavily influences the evaluation of logging water saturation. The commonly used mixed liquid resistivity models have not taken into account the contribution of irreducible clay water and, thus, they are not suitable for biolithite reservoirs with high shale contents. In this paper, a new 3D digital core was constructed based on CT scanning, and a progressive ion exchange model of the mixed-formation water compatible with the biolithite reservoir put forward. Compared with experimental data from core water flooding, the progressive ion exchange model conforms to the resistivity change law of biolithite reservoirs. Through numerical simulation and analysis of the resistivity of biolithite reservoir, it is concluded that the salinity of injected water and the formation water saturation are the main factors affecting the resistivity characteristics of water-flooded layer. In terms of the interpretation of the water-flooded layer, the water saturation was calculated using the progressive ion exchange model through finite element modelling of formation resistivity. The particular mechanism of water flooding and changing law of rock electrical properties during reservoir water injection development are presented, which provide a new reliable basis for optimization of the biolithite reservoir development plan.

Funder

National Science and Technology Program of China

National Natural Science Foundation of China

Shandong Provincial Natural Science Foundation

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Oxford University Press (OUP)

Subject

Management, Monitoring, Policy and Law,Industrial and Manufacturing Engineering,Geology,Geophysics

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