METHOD FOR CHOOSING THE OPTIMAL HYDRAULIC FRACTURING DESIGN BASED ON THE INTELLIGENT ANALYSIS OF FIELD DATA TO INCREASE THE PRODUCTION OF HYDROCARBON RAW MATERIALS

摘要

FIELD: mining industry. ;SUBSTANCE: invention relates to the field of hydraulic fracturing (fracking) technologies, in particular, to the optimization of parameters to increase the production of hydrocarbons. A method for selecting the optimal parameters of hydraulic fracturing (fracking), including: creating a database (DB) of wells with conducted fracking, including at least parameters for wells, reservoir parameters along the trajectory of wells, hydraulic fracturing parameters, parameters of actual fluid production by wells. A model is created for predicting accumulated fluid production using machine learning algorithms based on the parameters of the database of wells with conducted hydraulic fracturing. Parameters for the well are collected, for which it is necessary to determine the parameters of the hydraulic fracturing, which is the target, the parameters of the formation along the trajectory of the target well. Analog wells for the target well are determined using a database and parameters for the target well. The ranges of values for hydraulic fracturing parameters based on the parameters of analog wells are determined. The selection of hydraulic fracturing parameters within the ranges of values of hydraulic fracturing parameters is implemented using an optimization algorithm. Optimal hydraulic fracturing parameters are obtained, that correspond to the maximum fluid flow rate for the target well by iteratively feeding the hydraulic fracturing parameters obtained using the optimization algorithm at the previous step into the trained model of predicting accumulated fluid production. ;EFFECT: obtaining the most optimal parameters for hydraulic fracturing and increasing the flow rate for wells in the field, ensuring hydraulic fracturing to increase hydrocarbon production.;28 cl, 9 dwg, 1 tbl