Systems, methods, and apparatuses for data collection in a mining environment are disclosed. One exemplary embodiment is a system comprising a data storage structured to store at least one collector route and at least one sensor specification; a data collector communicatively coupled to input channels, and providing detection values from the input channels in response to a selected one of each of the at least one collector route and the at least one sensor specification; a data acquisition circuit structured to interpret the detection values from the data collector; a data analysis circuit structured to: analyze detection values; and determine a data collection quality parameter by evaluating at least one of: the at least one selected sensor collector route and the at least one selected sensor specification; and an analysis response circuit structured to adjust at least one of: the selected at least one sensor collector route and the at least one selected sensor specification, in response to the data collection quality parameter.

Systems for self-organizing data collection and storage in a manufacturing environment are disclosed. A system may include a data collector for handling a plurality of sensor inputs from sensors in the manufacturing system, wherein the plurality of sensor inputs is configured to sense at least one of: an operational mode, a fault mode, a maintenance mode, or a health status of at least one target system. The system may also include a self-organizing system for self-organizing a storage operation of the data, a data collection operation of the sensors, or a selection operation of the plurality of sensor inputs. The self-organizing system may organize a swarm of mobile data collectors to collect data from a plurality of target systems.

The present disclosure describes systems for data collection in an industrial environment having a self-sufficient data acquisition box for capturing and analyzing data in an industrial process. A system can include a data circuit for analyzing a plurality of sensor inputs, and a network control circuit for sending and receiving information related to the sensor inputs to an external system. The system may provide sensor data to a plurality of other similarly configured systems, and the system dynamically reconfigures where it sends data and what quantity of data it sends based on an availability of the other similarly configured systems.

The present disclosure describes monitoring systems for data collection in an industrial environment. A system can include a data collection circuit to collect output data from a plurality of sensors such as vibration sensors, ambient environment condition sensors and local sensors for collecting non-vibration data proximal to a machine in the environment. The sensors may be communicatively coupled to a data collection circuit, and a machine learning data analysis circuit may receive the output data and learn received data patterns predictive of at least one of an outcome and a state. The monitoring system may determine if the output data matches a learned received output data pattern, wherein the data collection circuit collects data points from sensors based on the learned received output data patterns, the outcome, or the state.

Systems and methods for automated planning and/or control of a drilling operation are implemented to be based at least in part on automated prediction of well performance using an analytical well performance model. Substantially real-time determination of one or more drilling parameters and/or well trajectory parameters is based on measurements received from a drill tool together with the well performance model. The described techniques thus provide for automated, analytically determined well performance measures (e.g., well productivity and/or revenue) to a geosteering process. The well performance model accounts for variations of well trajectory both in inclination and in azimuth angle.

Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels connected to data collection points operatively coupled to at least one of an oil production component or gas production component; a data storage structured to store a plurality of diagnostic frequency band ranges for the at least one of an oil production component or gas production component; a data acquisition circuit structured to interpret a plurality of detection values from the plurality of input channels; and a data analysis circuit structured to analyze the plurality of detection values to determine measured frequency band data and compare the measured frequency band data to the plurality of diagnostic frequency band ranges, and to diagnose an operational parameter of the least one of an oil production component or gas production component in response to the comparison.

A drilling system including a feed control module, a force control module, a hole breaking control module, a conversion module and a computing unit is provided. The feed control module sets a feed force threshold and a feed speed threshold for the computing unit to determine whether the current mode satisfies a first conversion condition. The hole breaking control module sets a drilling penetration force threshold and a drilling penetration speed threshold for the computing unit to determine whether the current mode satisfies a second conversion condition. The conversion module informs to change the feed force and the feed speed according to the determination results of the two conversion conditions. The force control module provides the feed force. With the drilling system, possible impact on the workpiece due to resistance change which occurs when the drill just touches and nearly gets through the workpiece will be reduced.

A well drilling system is provided that includes a choke manifold and a controller. The choke manifold includes at least one choke valve. The choke valve is actuable between fully open and closed choke positions. The choke valve has a Cv value for each choke position. The controller is in communication with the choke valve and a non-transitory memory storing instructions. The instructions relate Cv values to choke positions for the choke valve. The instructions when executed cause the controller to: a) determine a difference in pressure (ΔP); b) input or determine a density value; c) input or determine a Q value; d) determine a first Cv value using the ΔP, the density value, and the Q value; and e) actuate the choke valve to a first choke position associated with the first Cv value.

A downhole closed loop method for controlling a curvature of a subterranean wellbore while drilling includes controlling a direction of drilling such that the drilling attitude is substantially equal to a setpoint attitude. A setpoint rate of penetration is processed in combination with a setpoint dogleg severity to compute a setpoint attitude increment. The setpoint attitude may be adjusted by the setpoint attitude increment. The setpoint attitude may be incremented at some interval to control the curvature of the wellbore while drilling.

Examples of techniques for monitoring and controlling the pH of a drilling fluid are disclosed. In one example implementation, a system may include a first sensor to sense a first pH-value and an associated first temperature of the drilling fluid prior to being heated by a drilling fluid heater and a second sensor to sense a second pH-value and an associated second temperature of the drilling fluid subsequent to being heated by the drilling fluid heater. The system may also include a controller comprising a memory having computer readable instructions and a processing device for executing the computer readable instructions. The computer readable instructions include receiving the first pH-value and first temperature from the first sensor, receiving the second pH-value and second temperature from the second sensor, and determining an amount of additive to add to the drilling fluid to maintain a desired pH-value at the second temperature.