公开(公告)号：US20210310347A1

公开(公告)日：2021-10-07

申请号：US17263986

申请日：2019-07-30

Applicant: SHELL OIL COMPANY

Inventor： Neilkunal PANCHAL ,  Sami Mohammed Khair SULTAN ,  Minith Bharat JAIN ,  Patricia ASTRID

IPC: E21B44/00 ,  E21B7/04 ,  G06F30/27 ,  G06N3/08

Abstract: A method for autonomous geosteering for a well-boring process uses a trained function approximating agent. A geological objective is determined. Then, using the trained function approximating agent, a sequence of control inputs is determined to steer a well-boring tool towards the geological objective. The trained function approximating agent is adapted to enact the sequence of control inputs upon receiving a signal from a measurement from the well-boring process.

公开(公告)号：US20210310307A1

公开(公告)日：2021-10-07

申请号：US17263999

申请日：2019-07-30

Applicant: SHELL OIL COMPANY

Inventor： Neilkunal PANCHAL ,  Sami Mohammed Khair SULTAN ,  Jeremy Paul VILA ,  Minith Bharat JAIN ,  David THANOON ,  Misael Jacobo UZCATEGUI DIAZ ,  Arnab CHATTERJEE

IPC: E21B7/04 ,  G01V99/00 ,  G06F30/27 ,  G06N7/00 ,  G06N20/00

Abstract: A method of geosteering in a wellbore construction process uses an earth model that defines boundaries between formation layers and petrophysical properties of the formation layers in a subterranean formation. Sensor measurements related to the wellbore construction process are inputted to the earth model. An estimate is obtained for a relative geometrical and geological placement of the well path with respect to a geological objective using a trained reinforcement learning agent. An output action based on the sensor measurement for influencing a future profile of the well path with respect to the estimate.