Abstract: Tight oil and gas fields play a very important role in the oil and gas fields in China, and the oil and gas stored in tight oil reservoirs account for more than 70% of the proven reserves in China. Oil and gas fields in tight oil reservoirs are distributed widely and continuously, making exploration extremely difficult. Tight reservoir logging evaluation is a core technology in reserves evaluation, well deployment and other exploration work. The future development trend is to integrate big data methods with neural network methods to comprehensively evaluate logging evaluation related parameters such as fluid type and pore structure of tight reservoirs. Most of the existing tight reservoir logging methods and tools are based on conventional methods and means such as neutron, acoustic wave and density. There is a lack of new technologies and innovations such as imaging logging, nuclear magnetic logging and logging while drilling, and there is still no systematic and effective tight reservoir logging evaluation technologies. Therefore, on the basis of extensive literature investigations at home and abroad, this paper systematically summarized the geological characteristics of tight oil reservoir and expounded the differences between conventional logging evaluation techniques (such as neutron, acoustic wave and density) and new technologies and methods (such as imaging logging, nuclear magnetic logging and logging while drilling) in the evaluation of tight oil reservoirs to develop a set of systematic and standardized methods for tight reservoir logging evaluation. Lithological modelling and NMR technology should be deeply developed for tight oil reservoirs so as to effectively improve the logging evaluation technology and enhance the accuracy and reliability of reservoir prediction and fluid detection. The study results have certain reference values to the logging evaluation of tight reservoirs at home and abroad.

Key words: tight oil, reservoir characteristics, logging technology, fractured reservoirs