Enhanced look ahead prediction

A non-transitory machine-readable medium having data stored therein representing a software executable by a computer, the software executable comprising instructions configured to:

• receive a first data set of one or more electromagnetic measurements at a first location in a borehole of a formation from a logging tool;
• receive a second data set of one or more electromagnetic measurements at a second location in the borehole of the formation from the logging tool;
• perform a first inversion on the first data set of one or more electromagnetic measurements to form a first inverted data set;
• perform a second inversion on the second data set of one or more electromagnetic measurements to form a second inverted data set;
• compare the first inverted data set to the second inverted data set to identify a gradient change between each of the one or more electromagnetic measurements in the first inverted data set and the second inverted data set;
• form a predictive data set of one or more electromagnetic predictive responses for a third location in the formation based at least in part on the gradient change;
• perform a third inversion on the predictive data set of the one or more electromagnetic predictive responses to form a predictive response inverted data set;
• compare the predictive response inverted data set to the first inverted data or the second inverted data, or both to identify one or more distinctions or one or more similarities;
• estimate a confident level of the first inverted data or the second inverted data based on the one or more distinctions or the one or more similarities to the predictive response inverted data set;
• and
• alter course of the logging tool based at least in part on the predictive response inverted data set.

A non-transitory machine-readable medium having data stored therein representing a software executable by a computer, the software executable comprising instructions configured to:

• receive a first data set of one or more electromagnetic measurements at a first location in a borehole in a formation from a logging tool;
• receive a second data set of one or more electromagnetic measurements at a second location in the borehole in the formation from the logging tool;
• perform a first inversion on the first data set of one or more electromagnetic measurements to form a first inverted data set;
• perform a second inversion on the second data set of one or more electromagnetic measurements to form a second inverted data set;
• compare the first inverted data set to the second inverted data set to identify a gradient change between each of the one or more electromagnetic measurements in the first inverted data set and the second inverted data set;
• extrapolate from the gradient change to form one or more predictive responses for a third location in the formation based on the gradient change from the first data set and the second data set;
• extrapolate for one or more predictive responses at the third location using an extrapolation function on the gradient change for each of the one or more electromagnetic measurements;
• perform a third inversion on the one or more predictive responses for each of the one or more electromagnetic measurements to form a predictive response inverted data set;
• compare the predictive response inverted data set to the first data set of one or more electromagnetic measurements and the second data set of the one or more electromagnetic measurements to identify one or more distinctions or one or more similarities;
• estimate a confident level of the first data set of one or more electromagnetic measurements and the second data set of one or more electromagnetic measurements based on the one or more distinctions or the one or more similarities to the predictive response inverted data set;
• and
• alter course of the logging tool based at least in part on the one or more predictive responses.