Logging tool inversion integration

A tangible and non-transitory machine readable medium comprising instructions to cause at least one processor to:

• receive at least one drilling parameter corresponding to an attribute related to a well in a formation as measured data;
• perform a first inversion operation utilizing the measured data to generate a first inversion result, wherein the first inversion operation is a first type of inversion operation performed downhole utilizing a first amount of computational resources;
• determine whether the first inversion result meets a predetermined criteria related to quality of the first inversion result, wherein the predetermined criteria comprises a data misfit corresponding to a measure of fit between the first inversion result and the measured data or wherein the predetermined criteria comprises a machine learning uncertainty measurement;
• generate at least one first control signal utilized to perform a first geosteering operation based on the first inversion result in response to determining that the first inversion result meets the predetermined criteria;
• perform a second inversion operation utilizing the measured data to generate a second inversion result subsequent to determining that the first inversion result does not meet the predetermined criteria, wherein the second inversion operation is a second type of inversion operation differing from the first type of inversion operation, wherein the second inversion operation is performed by surface equipment utilizing a second amount of computational resources that is greater than the first amount of computational resources;
• and
• generate at least one second control signal utilized to perform a second geosteering operation based on the second inversion result in response to generation of the second inversion result.

A system, comprising:

• an acquisition system configured to measure at least one drilling parameter corresponding to an attribute related to a well in a formation as measured data;
• memory comprising executable instructions;
• and
• at least one processor coupled to the acquisition system and the memory, wherein the at least one processor is configured to execute the executable instructions to:
• perform a first inversion operation utilizing the measured data to generate a first inversion result, wherein the first inversion operation is a first type of inversion operation performed downhole utilizing a first amount of computational resources;
• determine whether the first inversion result meets a predetermined criteria related to quality of the first inversion result, wherein the predetermined criteria comprises a data misfit corresponding to a measure of fit between the first inversion result and the measured data or wherein the predetermined criteria comprises a machine learning uncertainty measurement;
• generate at least one first control signal utilized to perform a first geosteering operation based on the first inversion result in response to determining that the first inversion result meets the predetermined criteria, wherein the at least one first control signal controls a directionality of a drill or other drilling equipment to facilitate creation of the well along a first directionality;
• perform a second inversion operation utilizing the measured data to generate a second inversion result subsequent to determining that the first inversion result does not meet the predetermined criteria, wherein the second inversion operation is a second type of inversion operation differing from the first type of inversion operation, wherein the second inversion operation is performed by surface equipment utilizing a second amount of computational resources that is greater than the first amount of computational resources;
• and
• generate at least one second control signal utilized to perform a second geosteering operation based on the second inversion result in response to generation of the second inversion result.