Method and system for determining a geologically-guided assessment for managing drilling

A system, comprising:

• a drilling system comprising a plurality of sensors and a drill string comprising a drill bit, wherein the drilling system is coupled to a wellbore;
• a mud pump system configured to supply a first drilling fluid to the wellbore;
• a control system coupled to the mud pump system;
• and
• an automated drilling manager coupled to the drilling system, the mud pump system, and the control system, wherein the automated drilling manager comprises a computer processor, the automated drilling manager being configured to perform a method comprising:
• obtaining first acquired drilling parameter data regarding one or more drilling parameters in real-time during a drilling operation for a predetermined well associated with the wellbore, wherein the drilling operation is performed using the first drilling fluid;
• obtaining geological data for one or more formations in the predetermined well;
• determining, based on a drilling cost model, first drilling cost data using the first acquired drilling parameter data and the geological data, wherein the first drilling cost data comprises a real-time cost of drilling the predetermined well at a current drilling rate in the drilling operation;
• determining whether the first drilling cost data satisfies a predetermined criterion;
• determining, in response determining that the first drilling cost data fails to satisfy the predetermined criterion, a replacement component for the drilling operation;
• determining, based on the drilling cost model, second drilling cost data based on using the replacement component for the drilling operation;
• determining, based on the drilling cost model, the geological data, and the first acquired drilling parameter data, third drilling cost data for the first drilling fluid being used in the drilling operation and fourth drilling cost data of a replacement drilling fluid for the drilling operation,
• wherein the replacement drilling fluid is different from the first drilling fluid,
• wherein the drilling cost model is an artificial neural network comprising an input layer, an output layer, and a plurality of hidden layers, and
• wherein the geological data and the first acquired drilling parameter data are inputs to the input layer of the artificial neural network;
• determining whether the third drilling cost data of the first drilling fluid exceeds the fourth drilling cost data of the replacement drilling fluid;
• and
• transmitting a first command to update the drilling operation by changing a drilling system to use the replacement component in response to determining that the second drilling cost data satisfies the predetermined criterion;
• and
• transmitting, to the control system coupled to the mud pump system, a second command that automatically changes the first drilling fluid to the replacement drilling fluid in the drilling operation in response to the third drilling cost data exceeding the fourth drilling cost data.

A method, comprising:

• obtaining, by an automated drilling manager comprising a computer processor, first acquired drilling parameter data regarding one or more drilling parameters in real-time during a drilling operation for a predetermined well, wherein the drilling operation is performed using a first drilling fluid;
• obtaining, by the automated drilling manager, geological data for one or more formations in the predetermined well;
• determining, by the automated drilling manager and based on a drilling cost model, first drilling cost data for the first drilling fluid using the first acquired drilling parameter data and the geological data, wherein the first drilling cost data comprises a real-time cost of drilling the predetermined well at a current drilling rate in the drilling operation;
• determining, by the automated drilling manager and based on the drilling cost model, the geological data, and the first acquired drilling parameter data, second drilling cost data of a replacement drilling fluid for the drilling operation,
• wherein the replacement drilling fluid is different from the first drilling fluid,
• wherein the drilling cost model is an artificial neural network comprising an input layer, an output layer, and a plurality of hidden layers, and
• wherein the geological data and the first acquired drilling parameter data are inputs to the input layer of the artificial neural network;
• determining, by the automated drilling manager, whether the first drilling cost data for the first drilling fluid satisfies a predetermined criterion;
• determining, by the automated drilling manager and in response determining that the first drilling cost data fails to satisfy the predetermined criterion, whether the second drilling cost data of the replacement drilling fluid satisfies the predetermined criterion;
• transmitting, by the automated drilling manager and to a control system coupled to a mud pump system, a first command that automatically changes the first drilling fluid to the replacement drilling fluid in the drilling operation in response to the second drilling cost data exceeding the first drilling cost data;
• obtaining, by the automated drilling manager, second acquired drilling parameter data regarding the one or more drilling parameters in real-time during the drilling operation based on using the replacement drilling fluid for the drilling operation;
• determining, by the automated drilling manager and based on the drilling cost model, third drilling cost data based on using the replacement drilling fluid for the drilling operation and the second acquired drilling parameter data;
• and
• transmitting, by the automated drilling manager a second command to terminate the drilling operation in response to determining that the third drilling cost data fails to satisfy the predetermined criterion.