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.

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.