A system for mining material in a seam under an overburden layer using a geological model map of a geological formation, including a desired drilling end point at a predefined position relative to a geological boundary between the overburden layer and seam. A drill controller controls operation of a drill drilling a blast hole. A sensor pack senses, while drilling the blast hole, blast hole drilling operation parameters; and feeds the sensed parameters in real time to the drill controller. A data storage module stores a geological model of the geological formation and sensed parameters data. A processor module generates a geological model map including the desired drilling end point and locates the drill bit position relative to the geological boundary and such end point. The drill controller drills to the desired drilling end point and causes the drill to stop drilling upon reaching such end point.

A system for mining material in a seam under an overburden layer using a geological model map of a geological formation, including a desired drilling end point at a predefined position relative to a geological boundary between the overburden layer and seam. A drill controller controls operation of a drill drilling a blast hole. A sensor pack senses, while drilling the blast hole, blast hole drilling operation parameters; and feeds the sensed parameters in real time to the drill controller. A data storage module stores a geological model of the geological formation and sensed parameters data. A processor module generates a geological model map including the desired drilling end point and locates the drill bit position relative to the geological boundary and such end point. The drill controller drills to the desired drilling end point and causes the drill to stop drilling upon reaching such end point.

A method comprises determining a measure of drilling efficiency, such as a friction factor or mechanical specific energy, of a drill bit used in a drilling operation of a wellbore and performing video analytics of at least one video that includes a substantially complete view of the wear surfaces of a drill bit to determine drill bit wear of the drill bit that is a result of the drilling operation of the wellbore. The method includes determining a cause of the drill bit wear based on the measure of drilling efficiency and the drill bit wear determined by performing video analytics. Based on correlation or modeling of drill bit wear and the measure of drilling efficiency, drill bit wear can be predicted and some types of drilling dysfunction mitigated in subsequent drilling runs.

A method comprises determining a measure of drilling efficiency, such as a friction factor or mechanical specific energy, of a drill bit used in a drilling operation of a wellbore and performing video analytics of at least one video that includes a substantially complete view of the wear surfaces of a drill bit to determine drill bit wear of the drill bit that is a result of the drilling operation of the wellbore. The method includes determining a cause of the drill bit wear based on the measure of drilling efficiency and the drill bit wear determined by performing video analytics. Based on correlation or modeling of drill bit wear and the measure of drilling efficiency, drill bit wear can be predicted and some types of drilling dysfunction mitigated in subsequent drilling runs.

A system for regulating a pump down operation may include a controller, a motor drive, a parameter estimation unit and a controller design unit. In examples, the controller may be configured to identify a difference between a downhole tension set-point to an actual downhole tension. The motor drive may be configured to adjust a line speed set point of the motor drive based at least in part on the difference from the controller to create an actual line speed from the motor drive to follow the downhole tension set-point. The parameter estimation unit may be configured to produce a fluid drag coefficient, a friction coefficient, and a line speed delay constant. The controller design unit may be configured to send one or more control gains to the controller based at least in part on the fluid drag coefficient, the friction coefficient, and the line speed delay constant.

A method that includes an electronic application identifying an ending of a first drilling segment and a simultaneous beginning of a second drilling segment; identifying a data set of the first drilling segment; automatically creating, in response to the identification of the first drilling segment ending, a new row in a database table that stores a data set for each drilling segment, with the new row storing the variable values of the first drilling segment; creating a multi-dimensional data matrix based on the values in the database table; and extracting, from multi-dimensional data matrix, an optimum value of a variable for an upcoming drilling segment. The method may also include determining that a trajectory or location of a rotary steering system is outside of a tolerance window; and the step of extracting the optimum value of the variable is in response to this determination.

A method that includes an electronic application identifying an ending of a first drilling segment and a simultaneous beginning of a second drilling segment; identifying a data set of the first drilling segment; automatically creating, in response to the identification of the first drilling segment ending, a new row in a database table that stores a data set for each drilling segment, with the new row storing the variable values of the first drilling segment; creating a multi-dimensional data matrix based on the values in the database table; and extracting, from multi-dimensional data matrix, an optimum value of a variable for an upcoming drilling segment. The method may also include determining that a trajectory or location of a rotary steering system is outside of a tolerance window; and the step of extracting the optimum value of the variable is in response to this determination.

A system and method for controlling a drilling tool inside a wellbore makes use of Bayesian optimization with range constraints. A computing device samples observed values for controllable drilling parameters such as weight-on-bit (WOB) and drill bit rotational speed in RPM and evaluates a selected drilling parameter such a rate-of-penetration (ROP) for the observed values using an objective function. Range constraints can be continuously learned by the computing device as the range constraints change. A Bayesian optimization, subject to the range constraints and the observed values, can produce an optimized value for the controllable drilling parameter to achieve a predicted value for the selected drilling parameter. The system can then control the drilling tool using the optimized value to achieve the predicted value for the selected drilling parameter.

A system and method for controlling a drilling tool inside a wellbore makes use of Bayesian optimization with range constraints. A computing device samples observed values for controllable drilling parameters such as weight-on-bit (WOB) and drill bit rotational speed in RPM and evaluates a selected drilling parameter such a rate-of-penetration (ROP) for the observed values using an objective function. Range constraints can be continuously learned by the computing device as the range constraints change. A Bayesian optimization, subject to the range constraints and the observed values, can produce an optimized value for the controllable drilling parameter to achieve a predicted value for the selected drilling parameter. The system can then control the drilling tool using the optimized value to achieve the predicted value for the selected drilling parameter.

A system and method for calculating a path during drilling of a BHA between first and second survey points. The method includes calculating an amount of first incremental progress made by the BHA since the first survey point; calculating a first estimate of a first current location based on the first survey point and the amount of first incremental progress; causing at least one drilling parameter to be modified in order to alter a drilling direction of the BHA based on the first estimate; calculating an amount of second incremental progress made by the BHA; calculating a second estimate of the second current location based on the amount of second incremental progress and an aggregation of data received from the BHA, including data associated with the first survey point; and causing at least one drilling parameter to be modified in order to alter the drilling direction of the BHA.