Abstract: A machine-learning ecosystem includes a correlation module for building at least one prediction model based on at least one data input including at least one input parameter and at least one output parameter, the prediction model relating the output parameter to the input parameter. The correlation module performs at least one threshold check on the prediction model to assess the robustness of the prediction model. The ecosystem further includes a decision module communicatively coupled to the correlation module and receiving the prediction model from the correlation module. Based on a verification check at the decision module, a confirmation, a deferral, or a rejection of the prediction model is sent from the decision module to the correlation module.

Abstract: A mechanical autonomous pipe cutting system for cutting a pipe in a wellbore includes a locking unit that prevents the system from moving within the pipe when engaged to an inner surface of the pipe, a punching unit that moves a plurality of punching elements radially relative to an axis of the system, and a cutting unit that is designed to sever the pipe. The locking unit, the punching unit, and the cutting unit are attached to a body of the mechanical autonomous pipe cutting system. The body includes a motor that rotates the cutting unit. The mechanical autonomous pipe cutting system further includes a sensor module that detects interactions between the pipe and walls of the wellbore and a control unit in electronic communication with the sensor module, the locking unit, and the punching unit.

Abstract: A mechanical autonomous pipe cutting system for cutting a pipe in a wellbore includes a locking unit that prevents the system from moving within the pipe when engaged to an inner surface of the pipe, a punching unit that moves a plurality of punching elements radially relative to an axis of the system, and a cutting unit that is designed to sever the pipe. The locking unit, the punching unit, and the cutting unit are attached to a body of the mechanical autonomous pipe cutting system. The body includes a motor that rotates the cutting unit. The mechanical autonomous pipe cutting system further includes a sensor module that detects interactions between the pipe and walls of the wellbore and a control unit in electronic communication with the sensor module, the locking unit, and the punching unit.

Abstract: A wellhead adaptor tool, a system, and a method for installing a shooting nipple on a rotating control device of a wellhead. The wellhead adaptor tool has a body, a first flange, and a second flange. The body has a void. The first flange is coupled to a first portion of the body. The first flange has multiple voids to couple the body to a shooting nipple by multiple fasteners. The second flange is coupled to a second portion of the body. The second flange couples the body to a rotating control device of a wellhead coupled to a wellbore. A clamp is coupled to the second flange to couple the second flange to the rotating control device.

Abstract: A drilling tool for determining a real-time image of a borehole during drilling of the borehole, comprising: a drillstring, an acoustic caliper attached to the drillstring including: an acoustic transmitter that transmits a transmitted acoustic pulse, and an acoustic receiver that receives a reflected acoustic pulse, a well positioning device that determines a depth and accurate position of the acoustic caliper in the borehole, and a Programmable Logic Controller (PLC) that determines, in real-time, the time of flight of the acoustic pulse between transmitting the transmitted acoustic pulse and receiving the reflected acoustic pulse of the acoustic caliper, determines, in real-time, a distance between the acoustic caliper and a borehole wall based on the time of flight, and determines, in real-time, an image of the borehole wall during drilling of the borehole based on the distance as function of the depth and accurate position.

Abstract: An incinerator system includes an evaporator tank having a fluid inlet, a steam vent, and an evaporation cavity and a heating assembly having a plurality of heating rods mounted on a rod spacing mechanism and disposed in the evaporation cavity of the evaporator tank. The rod spacing mechanism is configured to move the plurality of heating rods within the evaporation cavity. The incinerator system also includes a sensor system having a plurality of sensors positioned to perform one or more sensor measurements in the evaporation cavity and a programmable logic controller communicatively coupled to the sensor system and the heating assembly. The programmable logic controller is configured to instruct the rod spacing mechanism to move at least one of the plurality of heating rods based on the one or more sensor measurements.

Abstract: An example system for conditioning drilling fluid includes a tank to hold drilling fluid and outlet conduits located at least partly within the tank. The outlet conduits have a tree structure that includes a trunk and branches. Each of the branches has one or more nozzles for outputting drilling fluid within the tank. The system also includes one or more inlet conduits for receiving drilling fluid from the tank and one or more pumps that are controllable to suction the drilling fluid from the tank through the one or more inlet conduits and to force the drilling fluid into the tank through the outlet conduits.

Abstract: A machine-learning ecosystem includes a correlation module for building at least one prediction model based on at least one data input including at least one input parameter and at least one output parameter, the prediction model relating the output parameter to the input parameter. The correlation module performs at least one threshold check on the prediction model to assess the robustness of the prediction model. The ecosystem further includes a decision module communicatively coupled to the correlation module and receiving the prediction model from the correlation module. Based on a verification check at the decision module, a confirmation, a deferral, or a rejection of the prediction model is sent from the decision module to the correlation module.

Abstract: An example system for conditioning drilling fluid includes a tank to hold drilling fluid and outlet conduits located at least partly within the tank. The outlet conduits have a tree structure that includes a trunk and branches. Each of the branches has one or more nozzles for outputting drilling fluid within the tank. The system also includes one or more inlet conduits for receiving drilling fluid from the tank and one or more pumps that are controllable to suction the drilling fluid from the tank through the one or more inlet conduits and to force the drilling fluid into the tank through the outlet conduits.

Abstract: A wellhead adaptor tool, a system, and a method for installing a shooting nipple on a rotating control device of a wellhead. The wellhead adaptor tool has a body, a first flange, and a second flange. The body has a void. The first flange is coupled to a first portion of the body. The first flange has multiple voids to couple the body to a shooting nipple by multiple fasteners. The second flange is coupled to a second portion of the body. The second flange couples the body to a rotating control device of a wellhead coupled to a wellbore. A clamp is coupled to the second flange to couple the second flange to the rotating control device.

Abstract: A machine-learning ecosystem includes a correlation module for building at least one prediction model based on at least one data input including at least one input parameter and at least one output parameter, the prediction model relating the output parameter to the input parameter. The correlation module performs at least one threshold check on the prediction model to assess the robustness of the prediction model. The ecosystem further includes a decision module communicatively coupled to the correlation module and receiving the prediction model from the correlation module. Based on a verification check at the decision module, a confirmation, a deferral, or a rejection of the prediction model is sent from the decision module to the correlation module.

Abstract: A drilling assembly includes a drill string configured to be disposed within a wellbore. The drilling assembly also includes a sub fluidically coupled to the drill string. The sub includes a mandrel fixed to the drill string and defines an external helically undulated surface and a bore configured to flow drilling fluid received from the drill string. The sub includes a sleeve rotationally coupled to and disposed outside the mandrel. The sleeve has an internal helically undulated surface corresponding with the external helically undulated surface of the mandrel to form, with the mandrel, a progressive cavity. The progressive cavity receives fluid from the bore of the mandrel to rotate the sleeve as the drilling fluid flows along the cavity. The sub also includes a valve configured to regulate a flow of the drilling fluid along the bore to direct fluid toward or away from the progressive cavity.

Abstract: Systems, methods, and apparatuses for detecting and collecting fluids released into a body of water are disclosed. Particularly, detection and collection of a fluid released during a petroleum exploration or production operation are disclosed. A released fluid may be detected using sensors on a submersible vehicle (SV) or a plurality of SVs operating in concert. A detected released fluid is collected in storage tanks onboard of the one or more SVs or in an external tank coupled to the one or more SVs.

Abstract: A downhole autonomous jet cutting tool includes a main body with a generally cylindrical configuration. The main body includes a locking unit actuable to engage the tool to an inner surface of the pipe, a hydraulic motor with a rotor and a stator, and a rotatable jet cutting nozzle assembly operable to emit a stream of fluid to cut the pipe. The tool also includes a sensor module to detect interactions between the pipe and walls of the wellbore and a control unit in electronic communication with the sensor module and the locking unit. The control unit can identify, based on output of the sensor module, a location where interaction between the pipe and the walls of the wellbore limits downhole movement of the pipe, actuate the locking unit to engage the tool in the inner surface of the pipe, and initiate the stream of fluid from the nozzle assembly.

Abstract: An incinerator system includes an evaporator tank having a fluid inlet, a steam vent, and an evaporation cavity and a heating assembly having a plurality of heating rods mounted on a rod spacing mechanism and disposed in the evaporation cavity of the evaporator tank. The rod spacing mechanism is configured to move the plurality of heating rods within the evaporation cavity. The incinerator system also includes a sensor system having a plurality of sensors positioned to perform one or more sensor measurements in the evaporation cavity and a programmable logic controller communicatively coupled to the sensor system and the heating assembly. The programmable logic controller is configured to instruct the rod spacing mechanism to move at least one of the plurality of heating rods based on the one or more sensor measurements.

Abstract: A junk recovery tool may include a longitudinal axial mandrel, a plurality of junk recovery baskets, and at least one junk recovery sensor. The plurality of junk recovery baskets may be spaced apart and attached to the longitudinal axial mandrel. A first one of the junk recovery baskets may be disposed uphole of a second one of the junk recovery baskets. Each of the junk recovery baskets may include a plurality of apertures, allowing a drilling fluid to pass through the junk recovery basket while collecting junk from the drilling fluid. The at least one junk recovery sensor may be disposed in one of the plurality of junk recovery baskets. The at least one junk recovery sensor may be operable to measure an amount of collected junk in the one of the plurality of junk recovery baskets. The present disclosure also includes systems and methods incorporating the junk recovery tool.

Abstract: A junk recovery tool may include a longitudinal axial mandrel, a plurality of junk recovery baskets, and at least one junk recovery sensor. The plurality of junk recovery baskets may be spaced apart and attached to the longitudinal axial mandrel. A first one of the junk recovery baskets may be disposed uphole of a second one of the junk recovery baskets. Each of the junk recovery baskets may include a plurality of apertures, allowing a drilling fluid to pass through the junk recovery basket while collecting junk from the drilling fluid. The at least one junk recovery sensor may be disposed in one of the plurality of junk recovery baskets. The at least one junk recovery sensor may be operable to measure an amount of collected junk in the one of the plurality of junk recovery baskets. The present disclosure also includes systems and methods incorporating the junk recovery tool.

Abstract: An incinerator system includes an evaporator tank having a fluid inlet, a steam vent, and an evaporation cavity and a heating assembly having a plurality of heating rods mounted on a rod spacing mechanism and disposed in the evaporation cavity of the evaporator tank. The rod spacing mechanism is configured to move the plurality of heating rods within the evaporation cavity. The incinerator system also includes a sensor system having a plurality of sensors positioned to perform one or more sensor measurements in the evaporation cavity and a programmable logic controller communicatively coupled to the sensor system and the heating assembly. The programmable logic controller is configured to instruct the rod spacing mechanism to move at least one of the plurality of heating rods based on the one or more sensor measurements.

Abstract: A downhole autonomous cutting tool and methods are described. The downhole autonomous cutting tool including: a body comprising a hydraulic motor, the body having a generally cylindrical configuration such that the body limits a downhole flow of fluids past the autonomous cutting tool between the autonomous cutting tool and the pipe when the tool is deployed in the pipe; a locking unit attached to the body, the locking unit actuable to engage inner surfaces of the pipe in the wellbore; a sensor module operable to detect interactions between the pipe and walls of the wellbore; an actuation unit attached to the body and rotatable by the hydraulic motor, the actuation unit operable to move a plurality of cutting elements between a running position and a cutting position; and a control unit in electronic communication with the sensor module, the locking unit, and the actuation unit.

Abstract: An example method for monitoring drilling includes releasing a wireless data retrieval device within a drill string in a wellbore, forcing fluid downhole through the drill string such that the data retrieval device travels in the fluid through a fluid outlet in a drill bit connected to the drill string, receiving data in the data retrieval device from a wireless sensor disposed on or in a body of the drill bit, and transferring the data from the data retrieval device after the data retrieval device travels in the fluid through the fluid outlet. An example wellbore drilling system includes a drill bit that includes a body, a fluid outlet, one or more wireless sensors disposed on or in the body, and a waterproof data retrieval device configured to receive data wirelessly from the wireless sensor(s), the data retrieval device having a size smaller than an opening in the fluid outlet.