Method for recognizing type of maturity of crude oil based on three-dimensional fluorescence of reservoir particles

Abstract

The embodiment of the invention provides a method for recognizing a type of maturity of crude oil based on three-dimensional fluorescence of reservoir particles and belongs to the field of natural gasexploration. The method comprises the following steps: collecting multiple rock core or rock debris samples of a reservoir; cleaning the collected reservoir rock core or rock debris samples for multiple times by using distilled water, and airing the cleaned rock core or crock debris samples; smashing the cleaned rock core or rock debris samples, and screening out multiple reservoir particles; putting the reservoir particles into a clean breaker, pouring in dichloromethane, oscillating the breaker for first preset time by utilizing ultrasonic wave, then performing standing on the breaker for second preset time, so as to collect extract; performing three-dimensional fluorescence spectrum detection on the extract of the collected reservoir particles, and acquiring three-dimensional fluorescence spectrum parameters of the extract; and recognizing the type of the maturity of the crude oil according to the three-dimensional fluorescence spectrum parameters of the extract. The method provided by the embodiment of the invention can rapidly, effectively and simply represent the type of the maturity of the crude oil.

Description

technical field [0001] The invention relates to the field of natural gas exploration, in particular to a method for identifying the maturity type of crude oil based on the three-dimensional fluorescence of reservoir particles. Background technique [0002] Maturity is a geochemical parameter that characterizes the evolution stage of crude oil and organic matter in source rocks, and is a key parameter for oil-source correlation and oil and gas resource evaluation. At present, the methods used to characterize the maturity of crude oil are mainly the generation or transformation parameters of the crude oil production stage, such as the distribution characteristics of n-alkanes, odd-even dominance ratio, carbon dominance ratio, stable carbon isotope ratio, sterol and terpane isomerization ratio and other biomarkers. Compound parameters, etc. However, this method is not effective for the research area with no oil and gas flow and only oil and gas show wells or the area with earl...

AI Technical Summary

Problems solved by technology

However, this method is not effective for the study area with no oil and gas flow and only oil and gas show wells or the area with early oil and gas flow that has been shut down now

In addition, the experimental process of this method is complicated and the cost is high.

Images