Light hydrocarbon logging-based oil well yield predication method and computer equipment

The application relates to a light hydrocarbon logging-based oil well yield prediction method and computer equipment. The method comprises the following steps: acquiring actual measurement data of anoil well with known production, wherein the actual measurement data include a data set of a plurality of light hydrocarbon parameters, and a data set of a plurality of yields corresponding to the light hydrocarbon parameters; determining a correlation coefficient between each light hydrocarbon parameter and the yield based on the actual measurement data; for each light hydrocarbon parameter, if the correlation coefficient between the light hydrocarbon parameter and the yield meets the preset condition, taking the corresponding light hydrocarbon parameter as an independent variable parameter ofthe multiple linear regression model; performing linear fitting on the basis of actual measurement data corresponding to light hydrocarbon parameters serving as independent variable parameters to determine regression coeffici