Journal of Southwest Petroleum University(Science & Technology Edition) ›› 2021, Vol. 43 ›› Issue (1): 133-141.DOI: 10.11885/j.issn.1674-5086.2019.10.29.01

• OIL AND GAS ENGINEERING • Previous Articles     Next Articles

A New Method for Inversing Mixed Water Resistivity in Water-flooded Zone

ZHANG Jiansheng, YANG Hongwei, SHI Xinlei, GUAN Yeqin, AN Yuhua   

  1. CNOOC China Limited, Tianjin Branch, Tanggu, Tianjin 300459, China
  • Received:2019-10-29 Online:2021-02-10 Published:2021-01-23

Abstract: The changes of electrical properties of water-flooded reservoirs are complex. Salinity of mixed water is influenced not only by the salinity of injected water and primary formation water, but also by the degree of flooding, which will lead to dynamic changes of resistivity of mixed water and electrical properties of rock and will bring great difficulty to the identification of water-flooded zones and the evaluation of remaining oil saturation. S oilfield in Bohai Area is taken as an example to illustrate how to solve the problems mentioned above. First of all, method of logging facies classification is proposed based on the theory of Multi-Resolution Graph-based Clustering and models of bound water saturation is established in different logging facies. Then the variation law of rock electricity parameters with the change of formation water salinity is analyzed on the basis of rock electricity experimental data, and the exponential relationship between m, n and salinity of mixed water in water-flooded zone is raised for the very first time. Finally residual oil saturation and resistivity of mixed water in water-flooded zone is calculated and quantitative evaluation of water-flooded Zone is realised. The main understandings are as follows:(1) logging facies can be effectively classified based on the theory of Multi-Resolution Graph-based Clustering and there is a much higher precise of bound water saturation by the method than the conventional model without logging facies; (2) with the increase of the salinity of mixed water, rock-electro parameters increase obviously in the low salinity area and the growth rate slows down in the high salinity area; (3) the quantitative interpretation results of water-flooded zone are in good agreement with actual production data and fluid yield profile logging results and the total coincidence rate is up to 92.3%, which shows that the evaluation accuracy of water-flooded zone is improved obviously.

Key words: water-flooded zone, well logging facies, model of bound water saturation, rock-electro parameters, resistivity of mixed water

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