US 12,454,883 B2
Hybrid neural network for drilling anomaly detection
Aymeric Lilian Jan, Clamart (FR); Fatma Mahfoudh, Cambridge (GB); Gordana Draskovic, Clamart (FR); Cheolkyun Jeong, Sugar Land, TX (US); and Yingwei Yu, Katy, TX (US)
Assigned to Schlumberger Technology Corporation, Sugar Land, TX (US)
Filed by Schlumberger Technology Corporation, Sugar Land, TX (US)
Filed on Sep. 2, 2022, as Appl. No. 17/929,412.
Claims priority of provisional application 63/260,843, filed on Sep. 2, 2021.
Prior Publication US 2023/0082520 A1, Mar. 16, 2023
Int. Cl. E21B 44/00 (2006.01); E21B 47/095 (2012.01); E21B 47/10 (2012.01)
CPC E21B 44/00 (2013.01) [E21B 47/095 (2020.05); E21B 47/10 (2013.01); E21B 2200/20 (2020.05); E21B 2200/22 (2020.05)] 18 Claims
OG exemplary drawing
 
1. A method for detecting a drilling anomaly, the method comprising:
receiving a plurality of physical measurements related to a wellbore, wherein the plurality of physical measurements include a flow rate measurement of a flow rate of drilling fluid into the wellbore, a weight on bit (WOB) measurement of a weight on a drill bit in the wellbore, and a depth measurement of the drill bit in the wellbore;
based at least partially upon the plurality of physical measurements, estimating a plurality of estimated parameters of a physical model for estimating a drilling characteristic;
determining a theoretical estimation of the drilling characteristic based on the physical model using the plurality of physical measurements and the plurality of estimated parameters, wherein determining the theoretical estimation includes:
multiplying the depth measurement with a first parameter of the plurality of estimated parameters;
exponentiating the flow rate measurement by raising the flow rate measurement to a power of a second parameter of the plurality of estimated parameters; and
multiplying the WOB measurement with a third parameter of the plurality of estimated parameters;
determining, utilizing a drilling event classification neural network, an anomaly probability that a drilling anomaly event is occurring based on the theoretical estimation of the drilling characteristic and a measurement of the drilling characteristic; and
using the anomaly probability, decreasing a drilling operation setting by adjusting operation of subterranean drilling equipment, wherein the drilling operation setting includes at least one of a flow rate decrease in the flow rate, a WOB decrease of the weight on the drill bit, or a pressure decrease in a standpipe pressure of the drilling fluid at a standpipe.