US 11,898,442 B2
Method and system for formation pore pressure prediction with automatic parameter reduction
Fatai A. Anifowose, Al-Khobar (SA); and Mokhles M. Mezghani, Dhahran (SA)
Assigned to SAUDI ARABIAN OIL COMPANY, Dhahran (SA)
Filed by SAUDI ARABIAN OIL COMPANY, Dhahran (SA)
Filed on Feb. 15, 2022, as Appl. No. 17/651,194.
Prior Publication US 2023/0258078 A1, Aug. 17, 2023
Int. Cl. E21B 49/00 (2006.01); E21B 45/00 (2006.01)
CPC E21B 49/005 (2013.01) [E21B 45/00 (2013.01); E21B 49/003 (2013.01); E21B 2200/20 (2020.05); E21B 2200/22 (2020.05)] 14 Claims
OG exemplary drawing
 
1. A method for formation pore pressure prediction, the method comprising:
obtaining an input parameter set while drilling a well, the input parameter set comprising:
surface drilling parameters,
logging while drilling parameters, and
advanced mud gas measurements;
obtaining a historical data set from an offset well, the historical data set comprising:
a historical input parameter set, and
historical pore pressure;
identifying at least one input parameter of the input parameter set that is considered non-relevant for predicting the pore pressure by determining that the at least one input parameter that is considered non-relevant has a mean squared error greater than a threshold selected for the historical pore pressure;
generating, from the input parameter set, a reduced input parameter set, by eliminating the at least one input parameter of the input parameter set that is considered non-relevant;
predicting the pore pressure by applying a machine learning model to the reduced input parameter set; and
guiding the drilling of the well using the predicted pore pressure;
wherein determining the at least one input parameter of the input parameter set that is considered non-relevant for predicting the pore pressure comprises at least one of:
a linear correlation filter,
a neighborhood components analysis, and
a forward selection and backward elimination.