Objective In order to solve the problem of insufficient logging and other data collection caused by high operational risk, great difficulty and high cost in offshore exploration, especially in view of the limitations of the existing conventional logging interpretation methods in the identification and evaluation of unconventional and strongly concealed oil and gas reservoirs, this paper explores a method to identify fluid properties based on the complexity of gas chromatography curves.

Method By calculating the fractal dimension of the box dimension per minute from the gas chromatogram and analyzing the variation trend of these values, different types of fluids could be effectively characterized.

Result The gas chromatograms of the thermally evaporated hydrocarbons showed significant fractal characteristics, and the gas chromatograms of different thermally evaporated hydrocarbons showed obvious differences, and the complexity of each stage was closely related to the content of various thermoevaporated hydrocarbons. The presence of high carbon peaks would lead to an increase in the fractal dimension. However, the fractal dimension curves of different oil qualities showed significant differences in trend and numerical values.

Conclusion In view of the problems of insufficient universality, limited interpretational ability of single parameter and poor adaptability to unconventional reservoirs in traditional logging interpretation methods, the introduction of fractal dimension interpretation method can effectively reflect the differences between different chromatographic curves, which is helpful to realize the rapid and objective identification of oiliness, and provides new ideas and technical means for the data middle platform model of smart logging.