Abstract: Methods and systems for quantifying and minimizing wellbore breakouts are disclosed. The methods include obtaining a mechanical earth model (MEM), determining a critical collapse pressure (CCP) using an inclination angle and the MEM, and determining an initial mud weight based on the CCP. The methods also include generating a breakout analysis using the initial mud weight, the MEM and a numerical modeling algorithm, updating the inclination angle of the planned wellbore, updating the CCP based on the updated inclination angle and the MEM, and updating the breakout analysis using the initial mud weight, the updated CCP, the MEM, and the numerical modeling algorithm. The methods further include selecting the updated CCP based, on the updated inclination angle that meets the stopping condition, calculating a final mud weight for the planned wellbore based on the updated CCP, and conditioning a drilling mud to the final mud weight, using a mud system.

Abstract: A method to predict wireline caliper log data from logging-while-drilling data which includes collecting logging-while-drilling logs and caliper logs from a plurality of wells. The caliper log contains at least one channel. The method further includes pre-processing the logging-while-drilling data, selecting a subset of logs within the logging-while-drilling data, and aggregating the channels of the caliper logs forming aggregate logs. The method further includes splitting the pre-processed logging-while-drilling data and aggregate logs into train, validation, and test sets, wherein the validation and test sets may be the same, selecting a machine-learned model and architecture, and training the machine-learned model to form predicted aggregate logs from the logging-while-drilling data using the training set. Additionally, the method consists of using the machine-learned model to predict the aggregate logs using pre-processed logging-while-drilling data.

Abstract: Systems and methods include a computer-method for updating drilling parameters in real time. A predicted breakout geometry is determined for a drilling operation of a petrochemical well. Determining the predicted breakout geometry uses an analytical elastic breakout model and includes determining a predicted breakout width, a predicted breakout depth, and a predicted breakout angle. The predicted breakout geometry is compared with an observed breakout geometry at an observed breakout angle determined in real time using real-time caliper log data obtained from a multi-finger caliper during the drilling operation. A maximum horizontal stress value in the analytical elastic breakout model is adjusted until the predicted breakout geometry matches the observed breakout geometry within a percentage threshold. Mud weight calculations for the drilling operation are updated in response to the comparing and adjusting. Drilling parameters for the drilling operation are changed in real time in response to the updating.