Abstract: A method for making electromagnetic directional resistivity measurements includes rotating an electromagnetic logging tool in a subterranean wellbore penetrating the formation. The logging tool includes a transmitting antenna and a receiving antenna spaced along a tool body with at least one of the transmitting antenna and the receiving antenna being a tiltted antenna. The electromagnectic logging tool is used to make a plurality of electromagnetic measurements at a corresponding plurality of frequencies while rotating in the wellbore. The plurality of measurements made at the corresponding plurality of frequencies is processed to compute a combined apparent resistivity of the subterranean formation. The processing includes minimizing a difference between a plurality of modeled measurements and the plurality of wellbore measurements in which the modeled measurements are computed using a model assuming a homogenous formation.

Abstract: A method for drilling includes obtaining formation-measurement pairings, training a machine-learning model using the formation-measurement pairings, receiving measurements obtained by a tool positioned in a well formed in a formation, and generating a formation model of at least a portion of the formation using the machine-learning model and the measurements. The formation model represents one or more physical parameters of the formation, one or more structural parameters of the formation, or both.

Abstract: Methods capable of determining a depth of investigation of a logging tool can include generating an error distribution model for a logging tool. The methods can also include defining a detection threshold above which a measured signal from a measurement channel of the logging tool can be considered reliable based on output from the error distribution model, and generating a simulated formation model to determine the depth of investigation. The depth of investigation can be biased by the detection threshold.

Abstract: A method for drilling includes obtaining formation-measurement pairings, training a machine-learning model using the formation-measurement pairings, receiving measurements obtained by a tool positioned in a well formed in a formation, and generating a formation model of at least a portion of the formation using the machine-learning model and the measurements. The formation model represents one or more physical parameters of the formation, one or more structural parameters of the formation, or both.

Abstract: A method for integrating graphical logging content of a subterranean wellbore includes processing a plurality of digitized display images and relevant context information to generate a single synchronized display image including representations of each of the plurality of display image. The plurality of digitized display images and relevant context information are received at a central processor from a corresponding plurality of source tools or source processors. The display images are representative of subterranean wellbore conditions.

Abstract: Methods capable of determining a depth of investigation of a logging tool can include generating an error distribution model for a logging tool. The methods can also include defining a detection threshold above which a measured signal from a measurement channel of the logging tool can be considered reliable based on output from the error distribution model, and generating a simulated formation model to determine the depth of investigation. The depth of investigation can be biased by the detection threshold.

Abstract: A method for integrating graphical logging content of a subterranean wellbore includes processing a plurality of digitized display images and relevant context information to generate a single synchronized display image including representations of each of the plurality of display image. The plurality of digitized display images and relevant context information are received at a central processor from a corresponding plurality of source tools or source processors. The display images are representative of subterranean wellbore conditions.