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The Hutubi (呼图壁) River reservoir of well block DX12 is a lithologic hydrocarbon reservoir that is under tectonic settings. The main oil-bearing sand body in this area is thin and has a poor transverse connectivity. Because of the complexity of the oil-water relationship, the oil reservoir presents a low resistivity feature, which brings great difficulties to hydrocarbon reservoir identification. This article develops an effective method of well log interpretation that can meet the requirement of low resistivity reservoir well logging evaluation. The authors combine the oil reservoir geology feature, the oil well logging curve characteristics and chemical analytical data to analyze the reasons for low resistivity, then establish the appropriate reservoir parameter explanation model, which uses different saturation computational methods according to different generations. When the clay content is more than 5%, we select W-S dual water model; when the shale content is more than 13%, we use the Schlumberger formula; when the shale content is less then 13%, we use Archie's formula. The well logging evaluation method of low resistivity reservoir has been improved by the irreducible water saturation formula which is established by the permeability, the porosity, the coefficient of pore structure and the shale content, hydrocarbon reservoir recognition charts, and the non-resistivity logging methods (repeat

With the gradual depth exploit of residual oil in offshore oilfield, RPM logging are using widely in reservoirs dynamic monitoring , the process of logging RPM affected by lithology, porosity, borehole fluid and other factors, so we must do some correction for it. But M oilfield has a special well structure of gravel pack, therefore, some correction made in domestic are not suitable for application in the offshore reservoirs of gravel pack, Thus author design parallelogram method to obtain water holdup and water saturation , by comparing the calculated results with the PLT data, it is found that the error in a controllable range, and also design volumetric model to corrected formation capture cross section, by using the corrected capture cross section establish model with lithology; electrical property, then compares it with the model which corrected before, it improves the model accuracy a lot. By comparing the water saturation which calculated by corrected capture cross section with and the water saturation which obtained by the PLT data interpretation , It is found that the accuracy increased more than 6%,it provides a new method to instruct the RPM data interpretation.

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