Abstract: A user can define an evaluation algorithm at a borehole system using sensor parameters collected at one or more locations throughout the borehole and equipment used at the borehole. The evaluation algorithm can implement statistical analysis on the parameters collected. The evaluation algorithm can combine two or more parameters to generate complex parameter relationships. The evaluation algorithm can implement one or more alarms using the analysis of the parameters. The alarms can specify levels or thresholds for different types or severities of alarms. Alerts can be defined using the alarms where the alerts are communicated to users or borehole systems for action. The evaluation algorithms can be packaged and forwarded for a technical review and a business management review, where evaluation algorithms that are approved can be made available to other users or at other borehole systems. Evaluation algorithms can be made available to select borehole systems or borehole operations.

Abstract: Systems and methods are provided for evaluation of the cement bonding condition in a wellbore based on borehole resonance mode using machine learning. An example method can include transforming the return signal into a resonance signal based on feature extraction of the return signal, determining a segment of the resonance signal in a time domain, and determining, via a machine learning model, a predicted borehole cement bonding based on the segment of the resonance signal. The example method can further include generating a bonding log based on the predicted borehole cement bonding.

Abstract: Determining the efficiency of solids removal from a wellbore during a wellbore displacement operation may prevent the unnecessary consumption of resources at a well site and enhance the performance of subsequent wellbore operations. The efficiency of solids removal may be based, at least in part, on one or more expected masses of one or more return fluids returned to the surface from a wellbore displacement operation, wherein the determining the expected masses comprises using one or more properties of one or more wellbore servicing fluids before the wellbore servicing fluids are used in the wellbore displacement operation. The expected masses may be compared to actual masses of wellbore fluids returned to the surface, wherein the actual masses are determined from samples of the wellbore fluids obtained from a return line of the wellbore.

Abstract: A variety of methods and apparatus are disclosed, including, in one embodiment, detecting a drilling event, involving flowing a drilling fluid from a wellbore being drilled through a separator, removing rock cuttings from the drilling fluid by the separator, discharging the drilling fluid from the separator without the rock cuttings removed to a mud pit, measuring a first viscosity of the drilling fluid upstream of the mud pit with a single point viscometer, measuring a second viscosity of the drilling fluid in the mud pit or downstream of the mud pit with a second viscometer that is not a single point viscometer, and detecting a drilling event associated with drilling of the wellbore by comparing the first viscosity with the second viscosity.

Abstract: A variety of methods and apparatus are disclosed, including, in one embodiment, detecting a drilling event, involving flowing a drilling fluid from a wellbore being drilled through a separator, removing rock cuttings from the drilling fluid by the separator, discharging the drilling fluid from the separator without the rock cuttings removed to a mud pit, measuring a first viscosity of the drilling fluid upstream of the mud pit with a single point viscometer, measuring a second viscosity of the drilling fluid in the mud pit or downstream of the mud pit with a second viscometer that is not a single point viscometer, and detecting a drilling event associated with drilling of the wellbore by comparing the first viscosity with the second viscosity.

Abstract: Disclosed herein are methods and systems to predict and alter the characteristics of cuttings bed in a wellbore in real time or ahead of time during planning to avoid the consequences of poor hole cleaning, i.e., high torque and drag, stuck drills, broken drill tools, lost circulation, low rates of penetration, and any related delays in the drilling schedule. The methods may include collecting drilling cuttings from drilling a wellbore penetrating a subterranean formation, analyzing the drilling cuttings, predicting characteristics of cuttings bed based at least in part on the drilling cuttings, predicting the effects of the characteristics of the cuttings bed on hole cleaning, changing at least one parameter controlling drilling operation when the hole cleaning is impaired by the effects of the characteristics of the cuttings bed, and predicting an impact of the change of the at least one parameter on the characteristics of the cuttings bed.

Abstract: Analyzing solid components in the return line of a borehole can be accomplished by implementing a bar or disc in the return line. As solid components pass by, they will generate an acoustic wave on impact. In another aspect, solid components can be directed to a shaker system where the solid components will impact a soundboard. The acoustic waves can be captured, such as by a microphone or transducer. The acoustic waves can be processed and transformed into acoustic data. A machine learning system can use previously trained models to determine the solid component parameters using the acoustic data. The parameters can include the size, shape, composition, density, softness, wettability, and other parameters of the solid components. These parameters can then be used as inputs to users or other borehole systems, such as a well site controller to improve drilling operations or to identify the need to implement corrective actions.

Abstract: Determining the likelihood of an event occurring during a drilling operation can utilize various input parameters collected from one or more sensors located downhole or at a surface location of the borehole undergoing the drilling operation. The collected input parameters can be weighted according to user parameters and then calculated over time to determine a trend in the input parameters. The trend can be analyzed against one or more probability models, such as using a machine learning process, to determine a potential for the event to occur and an estimated time interval over which the event may occur. The results of this analysis can be used by users or drilling systems to implement corrective actions to reduce or avoid the potential for the event occurring.

Abstract: A method performed while drilling a wellbore in a subsurface formation with a drill bit. The method comprises obtaining sonic logs of the subsurface formation proximate the drill bit. The method comprises determining mechanical specific energy based on drilling parameters. The method comprises comparing respective trends of the sonic logs and the mechanical specific energy of the drill bit to identify a cause for a change in drilling performance of the drill bit. The method comprises performing a drilling operation based on the cause for the change in the drilling performance.

Abstract: A method of monitoring a drilling operation of a drilling rig includes receiving one or more parameters of a drilling operation of a drilling rig. The one or more parameters are detected by one or more sensors. The method further includes recognizing, using a trained machine-learning model, a signature in the one or more parameters; determining a corrective action based on the recognized signature; and outputting a recommendation for performing the corrective action or autonomously executing the corrective action.

Abstract: A method performed while drilling a wellbore in a subsurface formation with a drill bit. The method comprises obtaining sonic logs of the subsurface formation proximate the drill bit. The method comprises determining mechanical specific energy based on drilling parameters. The method comprises comparing respective trends of the sonic logs and the mechanical specific energy of the drill bit to identify a cause for a change in drilling performance of the drill bit. The method comprises performing a drilling operation based on the cause for the change in the drilling performance.

Abstract: A drillstring, in a drilling environment, operatively connected to an information handling system, where the information handling system is configured to perform a method for modifying drilling operations that includes obtaining measured drillstring data associated with the drillstring, and calculating a heat generation using the measured drillstring data, where, based on the heat generation, a drilling modification procedure is performed.

Abstract: Systems and methods of the disclosed embodiments include a rheometer having a housing with a fluid inlet and a fluid outlet, a cylinder with a cavity located to receive fluid that passes into the fluid inlet, a motor configured to rotate the cylinder, a torsion bob within the cavity, and a controller located remotely from the rheometer. The controller includes a pressure regulator configured to pressurize fluid to power the motor, a rotation sensor configured to receive an optical rotation signal indicating a rotation speed of the cylinder, and a torque sensor configured to receive an optical signal indicating a torque on the torsion bob. The controller may be configured to receive a rotation speed signal from the rotation sensor, a torque signal from the torque sensor, and to calculate a shear stress for the fluid based on the rotation speed signal and the torque signal.

Abstract: Methods and systems for managing dielectric properties of a pulsed power drilling fluid are provided. In one embodiment, the methods include introducing a drilling fluid into a drilling pipe that extends into a portion of a wellbore; separating the drilling fluid into a solids rich portion and a solids lean portion in the drilling pipe at a location proximate to a pulsed power drill bit; allowing the solids lean portion of the drilling fluid to flow through the pulsed power drill bit; and drilling at least a portion of a wellbore. In some embodiments, the methods and systems include passing the drilling fluid through one or more hydrocyclones. In some embodiments, the methods and systems include passing the drilling fluid through one or more centrifuges.

Abstract: A sensor assembly comprising one or more sensors configured to be radially positioned about a flowline, each of the respective sensors configured to obtain a respective measurement of a fluid flowing through the flowline at a respective position, wherein one or more phase properties of the fluid in the flowline are determined based on the measurements.

Abstract: A sag detection apparatus comprises an oven containing a sample cell supported by a cell support structure, a thermal conductivity sensor including a sensor housing, and a roller with a first end supported by a first bearing and fixedly coupled to a first end of the cell support structure and a second end supported by a second bearing and fixedly coupled to a second end of the cell support structure. Temperature sensor wires electrically connect a temperature sensor and first fixed contact via stationary contacts configured to remain fixed during rotation of the roller and rotating contacts configured to rotate with rotation of the roller. Heat source wires electrically connect a heat source and a second fixed contact via stationary contacts configured to remain fixed during rotation of the roller and rotating contacts configured to rotate with rotation of the roller.

Abstract: Systems and methods using: a membrane unit to treat fluids recovered from an oil and gas well are provided. The membrane unit may include a membrane having a porous substrate at. least partially coated with graphene oxide, making the membrane hydrophilic. The membrane separates water from other components within a fluid stream. The membrane unit may include an inlet to receive a fluid stream into the membrane unit. The fluid stream may be pretreated prior to reaching the membrane unit The membrane unit may also include a first outlet in fluid communication with one side of the membrane and a second outlet in fluid communication with the opposite side of the membrane.

Abstract: A method may include providing one or more inputs to a hybrid data generator, wherein one of the one or more inputs is based at least in part on a wellsite location, wherein the hybrid data generator comprises a large language model, and wherein the large language model is based at least in part on a machine learning algorithm. The method may further include utilizing an information handling system to generate a drilling program based at least in part on the one or more inputs and the hybrid data generator. The method may further include performing at least a portion of a drilling operation based at least in part on the drilling program and collecting at least one measurement from at least one sensor during the drilling operation.

Abstract: A self-cleaning thermal conductivity sensor comprises: a bellows coupled to a support structure; a pneumatic or hydraulic cylinder; a sensor configured to measure a thermal conductivity of a fluid and extending from the pneumatic or hydraulic cylinder, wherein the sensor comprises an exposure end configured to contact the fluid during sensing by the thermal conductivity sensor, a temperature sensor, and a heat source; sensor wires connected with the thermal conductivity sensor and extending to a control system; a self-cleaning system comprising: a hood having walls extending radially outward and defining a volume; and a cleaning brush integrated with or adjacent the bottom of the support structure. In a retracted configuration, the exposure end of the sensor is positioned at a retracted position a distance from cleaning brush, and, in an extended configuration, the exposure end of the sensor extends a distance along the central axis away from the retracted position.

Abstract: A self-cleaning temperature sensor comprises: a bellows coupled to a support structure; a pneumatic or hydraulic cylinder; a sensor configured to measure a temperature of a fluid and extending from the pneumatic or hydraulic cylinder, wherein the sensor comprises an exposure end configured to contact the fluid during sensing by the sensor; sensor wires connected with the sensor and extending to a control system; and a self-cleaning system comprising: a hood having walls extending radially outward a distance along a central axis wherein the hood defines a first volume; and a cleaning brush integrated with or adjacent the bottom of the support structure. In a retracted configuration, the exposure end of the sensor is positioned at a retracted position a distance from cleaning brush, and, in an extended configuration, the exposure end of the sensor extends a distance along the central axis away from the retracted position.