Parameter inference, depth estimation, and anomaly detection for conveyance automation

A system comprising:

• a network adapter configured to acquire sensor data from sensors during a conveyance operation within a wellbore using an elongated conveyance member;
• and
• at least one processor configured to execute an executable code to implement at least the functionality of modeling one or more system state profiles of a downhole tool string during the conveyance operation to define one or more profile models, wherein the at least one processor is further configured to:
• calibrate the one or more profile models using one or more inference models by inferring one or more detectable system states and/or one or more undetectable system states related to running the downhole tool string into the wellbore via the elongated conveyance member to determine one or more calibrated profile models;
• use the one or more calibrated profile models to calculate at least one of a tension profile and a force profile along the elongated conveyance member based, at least in part, on the one or more detectable system states and/or the one or more undetectable system states;
• and
• use one of:
• (i) a surface tension uncertainty quantification model to calculate a surface tension and uncertainty bounds around the calculated surface tension based, at least in part, on the one or more detectable system states and/or the one or more undetectable system states, and the calculated tension profile, wherein the surface tension uncertainty quantification model accounts for one or more uncertainties related to the one or more detectable system states and/or one or more undetectable system states;
• or
• (ii) a surface weight uncertainty quantification model to calculate a surface weight and uncertainty bounds around the calculated surface weight based, at least in part, on the one or more detectable system states and/or the one or more undetectable system states, and the calculated force profile, wherein the surface weight uncertainty quantification model accounts for one or more uncertainties related to the one or undetectable system states.

A system comprising:

• at least one processor configured to execute an executable code to implement at least the functionality of modeling one or more system state profiles of a downhole tool string during a conveyance operation via an elongated conveyance member within a wellbore to define one or more profile models, wherein the at least one processor is further configured to:
• calibrate the one or more profile models using one or more inference models by inferring one or more detectable system states and/or one or more undetectable system states related to running the downhole tool string into the wellbore via the elongated conveyance member to determine one or more calibrated profile models;
• use the one or more calibrated profile models to calculate at least one of a tension profile and a force profile along the elongated conveyance member based, at least in part, on the one or more detectable system states and/or the one or more undetectable system states;
• and
• use one of:
• (i) a surface tension uncertainty quantification model to calculate a surface tension and uncertainty bounds around the calculated surface tension based, at least in part, on the one or more detectable system states and/or the one or more undetectable system states, and the calculated tension profile, wherein the surface tension uncertainty quantification model accounts for one or more uncertainties related to the one or more detectable system states and/or one or more undetectable system states;
• or
• (ii) a surface weight uncertainty quantification model to calculate a surface weight and uncertainty bounds around the calculated surface weight based, at least in part, on the one or more detectable system states and/or the one or more undetectable system states, and the calculated force profile, wherein the surface weight uncertainty quantification model accounts for one or more uncertainties related to the one or undetectable system states.