Automated detection of fracking end stages for activation of switchover valves during completion operations

A method for automatically determining an end-of-stage (EoS) state indication of a fracking operation occurring at a fracking site and effecting switching of a switchover valve between fracking wells, the method comprising:

• receiving, at a processor, an end-of-stage (EoS) detection model;
• receiving, at the processor, wellsite activity data comprising a plurality of activity records relating to activities taking place at the fracking site;
• receiving, at the processor, wellsite stage data comprising a plurality of stage records relating to a fracking stage of the fracking site;
• wherein the EoS detection model comprises:
• an activity classification model which relates each of a plurality of types of wellsite activity data to a corresponding one of a plurality of data classifications;
• an activity health model which comprises one or more rules for determining a health of a record from among the plurality of activity records of the wellsite activity data based on at least one of:
• an age of the data record;
• and a range of elements in the data record;
• an activity model comprising one or more rules for determining an activity status of a record from among the plurality of activity records of the wellsite activity data to indicate an idle state or an active state based on the range of elements in the data record;
• a stage health model which comprises one or more rules for determining a health of a record from among the plurality of stage records of the wellsite stage data based on at least one of:
• an age of the data record;
• and a range of elements in the data record;
• a EoS model which comprises one or more rules for determining whether a record from among the plurality of stage records of the wellsite stage data indicates an end-of-stage based on at least one of:
• minimum levels of fracking water;
• minimum levels of fracking proppant;
• minimum levels of fracking additives;
• and threshold differences between actual levels and minimum levels of fracking water, fracking proppant and/or fracking additives;
• automatically determining, by the processor, a positive activity data health indication in relation to the wellsite activity data wherein determining the positive activity data health indication comprises:
• automatically classifying, by the processor, each record from among the plurality of activity records of the wellsite activity data into one of the plurality of data classifications using the activity classification model;
• and
• for each of the plurality of data classifications, automatically determining, by the processor, a positive activity health by applying, by the processor, the one or more rules of the activity health model to the records in the data classification;
• automatically determining, by the processor, an idle activity indication from the wellsite activity data by, for each of the plurality of data classifications, applying, by the processor, the one or more rules of the activity model to the records in the data classification;
• automatically determining, by the processor, a positive stage data health indication in relation to the wellsite stage data by applying, by the processor, the one or more rules of the stage health model to the plurality of stage records in the wellsite stage data;
• automatically determining, by the processor, a positive EoS state indication from the wellsite stage data by applying, by the processor, the one or more rules of the EoS model to the plurality of stage records in the wellsite stage data;
• and
• communicating, by the processor, the positive EOS state indication to a switchover valve controller, the positive EOS state indication instructing the switchover valve controller to switch a switchover valve from a first fracking well to a second fracking well.