Systems and Methods for Data Driven Parametric Correction of Acoustic Cement Evaluation Data

One or more non-transitory, tangible computer-readable media storing instructions to:

• receive acoustic measurements having a first parameterization and obtained by one or more acoustic tools over a depth interval of a well;
• analyze a subset of the acoustic measurements beneath an acoustic impedance evanescence point;
• estimate a correction to the acoustic measurements that causes the subset of the acoustic cement evaluation measurements to more closely match expected nominal values;
• and
• when the correction applied to the subset of the acoustic measurements causes the subset of the acoustic cement evaluation measurements to more closely match expected nominal values, apply the correction to all or part of the entire acoustic measurements.

A method comprising:

• obtaining a first acoustic impedance measurement over at least a depth interval of a cased well;
• obtaining a flexural attenuation measurement over at least the depth interval of the cased well;
• transforming the flexural attenuation measurement into a second acoustic impedance measurement;
• and
• applying a correction to the first acoustic impedance measurement, the flexural attenuation measurement, or the second acoustic measurement, or any combination thereof, when an x-y density distribution of the first acoustic impedance measurement and the second acoustic impedance measurement meets one or more criteria, wherein the criteria comprise:
• that data points beneath an evanescence point of the x-y density distribution are not substantially distributed in a unit slope;
• that local maxima or centroids, or both, of the data points beneath the evanescence point of the x-y density distribution do not occur substantially equally along both the x and y axes;
• that the local maxima or centroids, or both, of the data points beneath the evanescence point of the x-y density distribution occur substantially at expected nominal anchor points;
• or
• that the data points beneath the evanescence point of the of the x-y density distribution do not substantially extend beyond an expected range associated with a solid-liquid-gas mapping;
• or
• any combination thereof.