Method and system for optimizing rig energy efficiency using machine learning

A drilling rig, comprising:

• a rig engine comprising a generator configured to provide power to a plurality of rig equipment of the drilling rig, the generator comprising a monitoring system for monitoring real-time operation of a first piece of rig equipment of the plurality of rig equipment of the drilling rig, wherein the first piece of rig equipment is operated according to a first set of operational parameters;
• a flow meter operatively connected to the generator through which power production and fuel consumption data are fed to a real-time database monitoring system;
• and
• a computing device operatively connected to the real-time database monitoring system and comprising a consumption efficiency model, the computing device having a processor configured to execute a method for determining an energy efficiency of the first piece of rig equipment, comprising:
• feed the power production and fuel consumption data of the first piece of rig equipment from the flow meter into the real-time monitoring system of the drilling rig;
• determine an energy efficiency, based on real-time performance, of the first piece of rig equipment using the consumption efficiency model and the power production and fuel consumption data;
• determine an optimum energy efficiency value using the consumption efficiency model;
• determine a target energy efficiency value based on an average energy efficiency using historical data of the first piece of rig equipment;
• compare the energy efficiency of the first piece of rig equipment against the target energy efficiency value by a real-time database monitoring system;
• determine an existing optimum energy efficiency value based on the historical data;
• establish a new optimum energy efficiency value if the optimum energy efficiency value is higher than the existing optimum energy efficiency value;
• update the existing optimum energy efficiency value with the new optimum energy efficiency value for comparing later to real-time values of the first piece of the rig equipment;
• update the historical data of the first piece of rig equipment with the energy efficiency;
• and
• identify deficiencies of the first piece of rig equipment in real-time and determining maintenance or replacement of the first piece of rig equipment based on the comparison of the energy efficiency to the target energy efficiency,
• wherein, upon identifying a deficiency, maintenance or replacement is performed on the first piece of rig equipment.

A non-transitory computer readable medium storing instructions executable by a computer processor, the instructions comprising functionality for:

• obtaining power production and fuel consumption data of a first piece of rig equipment, wherein the first piece of rig equipment is operated according to a first set of operational parameters;
• feeding the power production and fuel consumption data of the first piece of rig equipment into a real-time monitoring system;
• determining an energy efficiency, based on real-time performance, of the first piece of rig equipment using a consumption efficiency model and the power production and fuel consumption data;
• determining an optimum energy efficiency value using the consumption efficiency model;
• determining a target energy efficiency based on an average energy efficiency at the first set of operational parameters using historical data of the first piece of equipment;
• comparing the energy efficiency of the first piece of rig equipment against the target energy efficiency by a real-time database monitoring system;
• determining an existing optimum energy efficiency value based on the historical data;
• establishing a new optimum energy efficiency value if the optimum energy efficiency value is higher than the existing optimum energy efficiency value;
• updating the existing optimum energy efficiency value with the new optimum energy efficiency value for comparing later to real-time values of the first piece of the rig equipment;
• updating the historical data of the first piece of rig equipment with the energy efficiency;
• and
• identifying deficiencies of the first piece of rig equipment in real-time and determining maintenance or replacement of the first piece of rig equipment based on the comparison of the energy efficiency to the target energy efficiency,
• wherein, upon identifying a deficiency, maintenance or replacement is performed on the first piece of rig equipment.