US 12,215,584 B2
Method and system for determining a geologically-guided assessment for managing drilling
Ammar Alali, Dhahran (SA); Mahmoud F. Abughaban, Dhahran (SA); Abdulaziz Hussain Al-Hasan, Dhahran (SA); and Amjad Al-Makki, Dhahran (SA)
Assigned to SAUDI ARABIAN OIL COMPANY, Dhahran (SA)
Filed by SAUDI ARABIAN OIL COMPANY, Dhahran (SA)
Filed on May 25, 2022, as Appl. No. 17/664,994.
Prior Publication US 2023/0383637 A1, Nov. 30, 2023
Int. Cl. E21B 44/00 (2006.01); E21B 45/00 (2006.01); E21B 12/02 (2006.01)
CPC E21B 44/00 (2013.01) [E21B 45/00 (2013.01); E21B 12/02 (2013.01); E21B 2200/20 (2020.05); E21B 2200/22 (2020.05)] 14 Claims
OG exemplary drawing
 
1. 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 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 computer processer, whether the first drilling cost data satisfies a predetermined criterion;
determining, by the automated drilling manager computer processor and in response determining that the first drilling cost data fails to satisfy the predetermined criterion, a replacement component for the drilling operation;
determining, by the automated drilling manager computer processor and based on the drilling cost model, second drilling cost data based on using the replacement component for 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, 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, by the automated drilling manager, whether the third drilling cost data of the first drilling fluid exceeds the fourth drilling cost data of the replacement drilling fluid;
transmitting, by the automated drilling manager and to a first control system, 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, by the automated drilling manager and to a second control system coupled to a 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.