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 stochastic clustering and pattern matching 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 determining a depth of a target layer in a subterranean formation involves obtaining sequences of downhole and offset data. The downhole and offset data are discretized, and labels assigned to the discretized data. The sequences of labeled downhole and offset data are compared to determine a subsequence alignment. A depth for the target layer can thereby be determined.

Abstract: A method for producing a simulation environment for training a function approximating agent uses an earth model that defines boundaries between formation layers and petrophysical properties of the formation layers in a subterranean formation. A toolface input corresponding to a set of model coefficients produced by the earth model is provided to a drilling attitude model, which produces a drill bit position. The drill bit position is fed to the earth model for determining an updated set of model coefficients for a predetermined interval and a set of signals representing physical properties of the subterranean formation. The signals are provided to a sensor model to produce at least one sensor output. A reward is determined from the sensor output. The simulation environment for training the function approximating agent can be used for automating a geosteering process.

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.

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 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 stochastic clustering and pattern matching 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 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 Kalman filtering 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 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 greedy Monte Carlo agent. An output action based on the sensor measurement for influencing a future profile of the well path with respect to the estimate.