Abstract

Abstract In the process of oil reservoir development, clay minerals in the pores of a reservoir swell because of water absorption, blocking the pore channels, and decreasing the reservoir permeability. This phenomenon is referred to as reservoir water sensitivity. To develop and protect oil and gas fields more scientifically and effectively and save development cost, we examine the water sensitivity of the low-permeability conglomerate reservoir of the Lower Karamay Formation in the 530-well area of District 8 of the Karamay oil field. Based on multiple linear regression and neural network methods, the quantitative calculation of different types of clay minerals was performed by comprehensively using natural gamma ray, neutron, density, sonic transit time, and X-ray diffraction (XRD) analysis data. The water sensitivity experiment was performed in the study area, and the logging interpretation method of reservoir water sensitivity was established by considering the clay mineral content as the medium; moreover, the reservoir water sensitivity degree was quantitatively explained.

Highlights

  • Water sensitivity is a phenomenon as per which the permeability of an aqueous medium-containing clay minerals decreases when extraneous solutions with different mineral concentrations displace each other from the formation fluid [1,2,3]

  • Based on results regarding the types and causes of reservoir damage, Bishop [9] proposed the formation damage index (FDI), which can reflect the degree of formation sensitivity damage

  • By comparing the accuracy of these two methods, multiple linear regression calculation of clay mineral content was affected by multiple variables, Table 11: Comparison table of water sensitivity index prediction accuracy

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Summary

Introduction

Water sensitivity is a phenomenon as per which the permeability of an aqueous medium-containing clay minerals decreases when extraneous solutions with different mineral concentrations displace each other from the formation fluid [1,2,3]. We can use tri-porosity log data to interpret clay minerals to clearly reflect the physical characteristics of water-sensitive reservoirs. We applied tri-porosity log interpretation data to examine clay minerals in the low-permeability conglomerate reservoir of the Lower Karamay Formation in the 530-well area of District 8 of the Karamay oil field for research verification. We reported that this data have a significant level of applicability and provide a method for improving the log evaluation of clay minerals in reservoirs

Overview of the Study Area
Data Preparation
Methods
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Conclusion

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