Intelligent well completion optimization design method and apparatus based on multi-objective optimization

An intelligent well completion optimization design apparatus based on multi-objective optimization, comprising:

• a geological sweet spot evaluation module, configured to cluster a first dataset according to a weighted clustering model, and evaluate geological sweet spots of clustered clusters to obtain a geological sweet spot evaluation result, wherein the first dataset comprises reservoir petrophysical parameters along a horizontal well depth, and the weighted clustering model is constructed according to weights of the reservoir petrophysical parameters;
• a fracturing segment division module, configured to divide a fracturing segment according to an engineering sweet spot evaluation result and a preset segment length constraint, wherein the engineering sweet spot evaluation result is determined according to a geomechanical parameter;
• and
• a well completion optimization design module, configured to solve a multi-objective function constructed according to the geological sweet spot evaluation result, the engineering sweet spot evaluation result and a preset cluster spacing constraint within the divided fracturing segment, and perform a well completion optimization design according to an objective solution result of the multi-objective function.