1495results about "Automatic control for drilling" patented technology

A method can include rendering a graphical user interface to a display; receiving data; responsive to determining boundary locations for formations in the subsurface environment using the data, automatically rendering the boundary locations in the graphical user interface; responsive to determining extended boundary locations in the subsurface environment for a region beyond an end of the borehole using the boundary locations, automatically rendering the extended boundary locations in the graphical user interface; responsive to determining a target location in the region using the extended boundary locations, automatically rendering the target location in the graphical user interface; and, responsive to generation of a trajectory from an end of the borehole location to the target location, automatically rendering the trajectory in the graphical user interface.

The invention relates to the technical field of rotary steerable drilling system dynamics analysis and control, in particular to a rotary steerable drilling system dynamics analysis system which comprises a data acquisition module used for acquiring ground engineering parameters and underground dynamic parameters in real time and intercepting drilling parameter adjusting instructions; the digital twin modeling module is used for outputting a complete state vector of a digital twin model; the noise prediction module is used for generating a control source noise signal; the signal reconstruction module is used for executing self-adaptive hedging processing on the original mixed signal so as to reconstruct a pure geological signal; the cooperative control module is used for predicting the vibration risk caused by the change of the front stratum and generating an optimal control instruction for actively avoiding the vibration risk; the occurrence probability of malignant vibration is remarkably reduced, the drilling efficiency is improved, and the service life of a drilling tool is prolonged.

A method can include acquiring resistivity measurements using a downhole tool of a drillstring disposed in a borehole in a subsurface environment; performing a resistivity measurement-based inversion to generate a structural representation of a portion of the subsurface environment that includes an end of the borehole; generating a control instruction using an artificial intelligence framework and the structural representation, where the control instruction is for lengthening the borehole along a current borehole trajectory or a different borehole trajectory; and controlling the drillstring to lengthen the borehole based on the control instruction.

The invention relates to geotechnical engineering pile foundation equipment, in particular to intelligent cast-in-place pipe pile equipment integrated with a multi-source sensor and a construction method. A spiral sleeve; a double-layer sleeve wall protection system; an outer sleeve anti-rotation pressing system; and a pile core soil anti-rising telescopic system and the like. The intelligent PCC pile construction equipment integrates torque, rotating speed, drilling speed, drilling pressure and other multi-source sensors and an artificial intelligence algorithm to achieve intelligent sensing and control over a pile machine, efficient combined soil spinning of a spiral sleeve and a double-layer sleeve wall protection system is achieved through a hollow rotating power equipment system, an annular cavity is rapidly formed, a reinforcement cage is put down, concrete is poured to form a PCC pile, and the construction efficiency of the PCC pile is improved. Finally, the inner sleeve and the outer sleeve of the double-layer sleeve wall protection system are pulled out in a vibrating mode at the same time under the action of the winch up-pulling system, and the inner sleeve and the outer sleeve are in butt joint and reset with the annular rotary excavating soil taking system, the problems that a traditional PCC pile is limited in application in complex stratums and a reinforcement cage cannot be put down are solved, and the construction intelligence is achieved.

This disclosure relates to a predictive lookahead system that generates simulated or predicted wellbore trajectory plans in a drilling environment and determines when a simulated wellbore trajectory plan is at risk based on various lookahead metrics, such as torque and drag (T&D) metrics and hydraulic pressure metrics. For instance, the predictive lookahead system uses a predictive framework with various steps to determine if drilling metrics for a predictive wellbore trajectory plan, such as T&D metrics and / or hydraulic pressure metrics corresponding to subsurface formations, may exceed one or more risk threshold limits and cause damage to the drill bit, drill string, casing, and / or surface rig. The predictive lookahead system determines whether a predictive wellbore trajectory, which aims to converge with a previously planned wellbore trajectory, can proceed safely along the projected trajectory without exceeding T&D, pressure window, or other lookahead metric limits in the wellbore.

The invention discloses a directional drilling track self-adjusting measuring system. Relates to the technical field of directional drilling. The method is used for solving the problem that the current coal mine directional drilling track control technology cannot meet the requirements of underground safety production for high precision, fast response and strong adaptation. According to the technical scheme, the system comprises a multi-dimensional sensor module, a data processing module, a control module, an execution mechanism and a feedback module. According to the technical scheme, the directional drilling track self-adjusting measuring system is provided, the system response speed and track adaptability are remarkably improved, and the track qualification rate is increased to 98% or above from 70%-80%.

The invention relates to the technical field of drilling parameter optimization control, and provides a petroleum drilling parameter optimization method and system and a storage medium. Comprising the steps that torque fluctuation amplitude and bit pressure response delay data are collected in real time, an original data sequence is constructed, and parameter trend data are obtained; analyzing the parameter trend data to identify a stratum change mode, extracting trend feature information, and when the trend feature information meets a preset condition, determining a corresponding abnormal mode identifier; generating a parameter adjustment direction of drilling control according to the abnormal mode identifier, and optimizing the parameter adjustment direction in combination with parameter weight analysis and a real-time feedback mechanism to obtain final optimization guidance data for guiding drilling operation; and mapping the final optimization guidance data to a control interface, and generating a dynamic adjustment instruction for drilling operation. The problems that in the existing petroleum drilling process, parameter adjustment lags behind, and stratum changes are difficult to adapt are solved, and intelligent optimization and dynamic control over drilling parameters are achieved.

The invention discloses an in-situ coring system and method for a soft rock extension roadway bottom plate. The system comprises a stable anchoring base, a drilling driving and propelling module, a stress adjusting module, a low-disturbance coring module, a rock core in-situ packaging and fidelity module and an intelligent integrated control unit. The stable anchoring base is used for fixing the system on a roadway bottom plate; the drilling driving and propelling module provides rotating power and axial feeding force for the drilling tool; the stress adjusting module is used for adjusting the stress state around the rock core; the low-disturbance coring module comprises a composite function coring drill bit and a double-layer coring pipe, and low-disturbance cutting and containing of a rock core are achieved. The rock core in-situ packaging and fidelity module is used for sealing and packaging the rock core in real time; and the intelligent integrated control unit adaptively controls the coring process according to sensor data. According to the invention, low-disturbance, high-precision and in-situ fidelity rock core acquisition of the soft rock roadway bottom plate can be realized, and the problems of large soft rock coring disturbance, difficulty in fidelity, low intelligent degree and the like are effectively solved.

The invention provides a drilling control method and system for a self-propelled complex drill bit, and the method comprises the steps: setting a rated cutting torque through obtaining roadbed soil, hydraulic power and geometric parameters, calculating the total propulsion resistance based on the roadbed strength to control the axial jacking force, and carrying out the safety verification of the drag force; calculating a critical flow velocity according to the characteristics of the drilling slag to adjust the discharge capacity and negative pressure of the slurry pump so as to determine an operation boundary; drilling and deslagging are cooperatively executed under the boundary, and the trajectory is corrected by combining a PID algorithm and the propulsion speed is optimized based on the theoretical mechanical drilling speed. According to the method, the technical problems that existing trenchless construction depends on experience to set parameters, scientific quantitative calculation of the slag discharge flow speed and the safety drag force is lacked, and then pipe cable blockage and drainage pipe damage are caused can be solved, and full-system cooperative efficient control of drilling, propelling, slag discharge and guiding based on multi-field coupling calculation is achieved.

Computer implemented methods and systems for testing one or more operational changes in a drill rig includes initiating the one or more operational changes and using, in part, image data of a mechanical mud separation machines (“MMSM”) to detect the impact of the one or more changes. The image data may be processed by a Deep Neural Network to identify objects in the object flow, operational parameters of the MMSM, and wellbore environmental conditions. Additional image data may be selected for additional processing based on the results of the analysis. The results of the test may be used to update the drilling operation or a drilling model.

The invention relates to the technical field of automatic control of drilling parameters, in particular to a coal bed gas underground drilling construction parameter optimization method and system.The method comprises the following steps that sound wave response signals are obtained, propagation characteristics are calculated, bit pressure data are aligned, abnormal fluctuation is recognized, pumping pressure information is extracted, and the change trend is analyzed; and comparing the consistency of the regulation and control points and organizing regulation and control actions to finally form a coal-bed gas well drilling parameter optimization control flow. According to the method, accurate calibration of an abnormal state is achieved by constructing a sound wave propagation delay sequence and synchronizing bit pressure response, key regulation and control fragments are recognized in combination with a pumping pressure change trend, a time sequence coupling relation between bit pressure and pumping pressure is established, regulation and control action combinations meeting response consistency are extracted, and sequential organization is conducted; a control instruction set with continuity and pertinence is formed, collaborative recognition and linkage regulation and control of multi-parameter change trends are achieved, and stability and response coordination in the construction process are improved.

The present invention relates to a high pressure water jet automatic drilling and cutting collaborative system and method for coal seams, and belongs to the field of coal seam gas control. The system comprises a drilling and cutting collaborative control platform, an automatically regulated slotting pump unit and an automatically regulated drill; the drilling and cutting collaborative control platform comprises a coalbed gas geology management system, a decision analysis system, a drilling and cutting collaborative execution system, a monitoring and feedback system, and an information management and evaluation system; construction operation parameter instructions issued by the drilling and cutting collaborative control platform are executed by the automatically regulated slotting pump unit and the automatically regulated drill; coal seam geological information is recorded by the coalbed gas geology management system, and reasonable drilling and cutting construction parameters are analyzed and formulated by the decision analysis system based on the coal seam geological information. Drilling and cutting collaborative construction, on-site operation construction parameter monitoring, and real-time feedback and adjustment are realized by the drilling and cutting collaborative execution system and the monitoring feedback system according to the operation parameter instructions. Coal seam outburst prevention and control effects in a drilling and cutting collaborative implementation area is evaluated by the information management and evaluation system. The present invention improves safety of on-site operators, and reduces personnel input and labor intensity.

The invention discloses a multi-source sensing data fused rotary excavating hole-forming verticality online monitoring system and method, and the system comprises a drill bit inclination angle monitoring device which collects and stores the roll angle and the pitch angle of a drill bit, and transmits the roll angle and the pitch angle to a cloud server; the drill rod rotation angle monitoring device collects the rotation angle of the drill rod relative to the machine body and transmits the rotation angle to the drill bit azimuth angle resolving unit; the fuselage attitude monitoring device collects a roll angle, a pitch angle and an azimuth angle of the fuselage and transmits the roll angle, the pitch angle and the azimuth angle to the drill bit azimuth angle resolving unit; the drill azimuth angle resolving unit is used for calculating a drill azimuth angle and transmitting the drill azimuth angle to the cloud server; the cloud server calculates the track of the drill bit and the perpendicularity of the formed hole by combining the formed hole depth and the drill bit position data provided by the rotary drilling rig; and the visual terminal displays the track of the drill bit and the perpendicularity of the formed hole by accessing the cloud server. According to the invention, real-time monitoring of the perpendicularity of the formed hole can be realized, and the construction efficiency and quality of the rotary drilling hole are improved.

The invention discloses a deep mine rockburst risk dynamic assessment and active prevention and control system, and relates to the technical field of rockburst risk assessment and prevention and control. Comprising a data acquisition module, a preprocessing module, a dynamic evaluation module, an active prevention and control decision module, a prevention and control execution module, a system monitoring and feedback module and a data storage and authority management module, is interacted through a mining intrinsic safety type communication network, adapts to underground working conditions and supports 24-hour operation; the data acquisition module deploys multiple types of monitoring equipment, and dynamically adjusts frequency encryption transmission; the preprocessing module filters noise and interpolates to ensure data integrity; the dynamic evaluation module updates the risk level in combination with indexes and algorithms; the decision-making module matches the prevention and control scheme and needs to be audited; the execution module is in butt joint with equipment control parameters; the monitoring module measures the state calculation effect; and the storage and authority module performs dual-backup, and performs hierarchical authorization trace leaving. According to the method, the problems of lag and low efficiency of traditional rockburst prevention and control are solved, evaluation accuracy and prevention and control efficiency are improved, risk closed-loop management is realized, safety and cost are balanced, and mining safety is guaranteed.

Systems and methods presented herein facilitate ensuring the integrity of oil and gas well intervention operations using blockchain technologies. In particular, the systems and methods described herein utilize blockchain technologies to ensure that all data relating to oil and gas well intervention operations are captured and stored in substantially real time during the operations in a secure and immutable manner.

The invention discloses a self-adaptive control method and system for a mining drilling machine. The method comprises the steps that state parameter data in the drilling process of the drilling machine are collected in real time through a multi-source sensor; quickly matching the acquired data with a pre-constructed dynamic database, generating an initial control parameter, and inputting the initial control parameter into an optimization model to generate a self-adaptive control strategy; performing closed-loop control on a drilling machine executing mechanism according to the self-adaptive control strategy; and monitoring and evaluating the drilling performance index of the drilling machine in real time, and feeding back an evaluation result to the optimization model to realize online iterative optimization. Through three technical means of dynamic database construction, layered double closed-loop control and multi-parameter coupling optimization, adaptive sensing, intelligent decision making and accurate execution of the drilling machine under complex geological conditions are realized, the drilling efficiency is remarkably improved, the energy consumption is reduced, the operation safety is enhanced, and the engineering application value is extremely high.

The invention discloses an automatic hard well shut-in method and system integrated with a petroleum drilling machine control system, and relates to the technical field of petroleum drilling machine well control. According to the method, the drilling working condition is monitored in real time, an overflow trigger index is calculated, the overflow risk in a shaft is judged, and a hard well shut-in process is started after an alarm is given; the position of a hook and the position of a drill rod joint are monitored in real time, a winch safety stop index is calculated, whether the operation state of the winch is safe or not is judged, the hook is automatically moved to the optimal stop point, and the winch is braked; top drive and slurry pump linkage control is started, a top drive and slurry pump linkage control coefficient is calculated, whether the static working condition before well control is met or not is judged, and equipment is stopped or a strategy is executed accordingly; monitoring the action of the blowout preventer and the state of the hydraulic system, calculating the consistency index of the action of the blowout preventer, judging whether the action of the blowout preventer meets the well shut-in requirement or not, and giving a strategy if the action does not meet the well shut-in requirement; real-time judgment of the overflow risk and automatic hard shut-in of the well can be achieved, the safety of the well mouth is guaranteed, and the risk of manual misoperation is reduced.

The invention discloses a correction method and system for a punching positioning strategy based on force feedback, and relates to the technical field of intelligent drilling control, and the method comprises the steps: discretizing a target punching path into a plurality of candidate punching points, constructing a graph structure prediction model, and generating a theoretical stress value of each point; real-time force feedback data are collected in the actual drilling process, the stress residual error is calculated, a structure residual error field is constructed, and an abnormal area is recognized; a path adjustment range is limited based on residual distribution characteristics, path backtracking reasoning is executed with the target position as guidance, and an attitude correction path is generated; continuous correction of punching positioning is achieved by controlling posture adjustment of equipment. The method has the advantages of being high in self-adaptability, high in attitude control precision, timely in structural abnormity response and the like, and the stability and accuracy of punching operation can be effectively improved.

The invention is suitable for the technical field of engineering investigation, and provides an engineering investigation digital drilling machine based on the Internet of Things sensing technology and a big data service system.The digital drilling machine comprises a drill tower, a hydraulic standard penetration piece, a slurry pump, an integrated operation table, a double-clamping structure, a power head, monitoring equipment and other assemblies; linkage and data interaction of all the assemblies are achieved through a controller special for engineering machinery. The big data service system covers three aspects of a data architecture, a core algorithm and a security mechanism, the data architecture comprises an edge computing layer and a cloud analysis layer, the core algorithm comprises a drilling efficiency prediction model and equipment health degree evaluation, and the security mechanism comprises data encryption and access control. The big data service system provides intelligent decision support and service for engineering investigation, and the engineering investigation efficiency and quality are effectively improved.

A computing system includes a machine learning algorithm executing a machine learning model to predict a probability of a fracture driven interaction associated with a hydrocarbon well. The machine learning algorithm trains the machine learning model using well treatment pumping data, offset well production data, and well stage data. Feature extraction is performed on the pumping data, production data, and well stage data to produce a machine learning model that is used to predict the probability of a fracture driven interaction. The resulting machine learning model can be deployed for use in ongoing hydraulic fracturing operations to predict and reduce real-time fracture driven interactions.

The invention relates to a self-adaptive drilling method and system based on hole wall stability and deep learning, and belongs to the technical field of coal mine underground drilling. Aiming at the technical problems that the drilling efficiency is low and the construction safety risk is high due to the fact that an existing drilling control method is difficult to effectively predict and avoid hole wall instability, the method adopts the core technical scheme that a drilling parameter sequence is collected in real time through an orifice sensor; calculating a hole wall instability risk probability in real time by using a pre-trained lightweight hole wall instability prediction network; further, the scheme evaluation network predicts future multi-target performance based on the current state and the candidate control set; and finally, constructing a scoring function by taking the hole wall stability as a primary constraint, preferentially generating a control instruction and issuing the control instruction to a drilling machine for execution. According to the method, intelligent prediction and active control over the stability of the hole wall are achieved, the safety and reliability of drilling construction are remarkably improved, meanwhile, the drilling efficiency and the hole forming quality are both considered, the system calculation load is low, and on-site deployment and application are easy.

The invention relates to the technical field of drilling, and provides a roofbolter feedforward-feedback model-free adaptive tracking control method and system based on rotation force. According to the method, a valve-controlled hydraulic propulsion control model for driving a hydraulic cylinder and a corresponding reversing valve in the working process of the hydraulic jumbolter is established, and a nonlinear autoregressive moving average model between the propulsion force in the working process of the hydraulic jumbolter and the output driving current of the reversing valve is obtained through the valve-controlled hydraulic propulsion control model; through a nonlinear autoregression moving average model of the hydraulic jumbolter, an output identification observer deployed with a data-driven adaptive control algorithm of the hydraulic jumbolter is established, and the output identification observer performs adaptive tracking control on the working state of the hydraulic jumbolter through the deployed data-driven adaptive control algorithm. The tracking control problem of the valve control electro-hydraulic servo unit under the complex working condition is effectively solved.

Examples of methods and systems are disclosed. The methods include, obtaining a seismic dataset regarding a subsurface region of interest, wherein the seismic dataset comprises a plurality of time-domain seismic traces. The methods also include determining a plurality of single-frequency volumes from the plurality of time-domain seismic traces. The methods further include determining a frequency ratio volume based, at least in part, on the plurality of single-frequency volumes. The methods still further include extracting a three-dimensional (3D) geological body based, at least in part, on the frequency ratio volume. The methods further include determining a drilling target in the subsurface region based on the 3D geological body.

Disclosed are methods, systems, and computer-readable medium to perform operations including: obtaining production data about the well; generating a simulated average reservoir pressure at the subsurface region that includes the well; computing a difference between an average reservoir pressure obtained from the production data and the simulated average reservoir pressure; determining, based on the computed difference, a performance deviation with reference to a particular area of the subsurface region that includes the well; comparing the performance deviation to a predetermined threshold value that represents an acceptable tolerance for variance in performance of the well; and triggering, when the performance deviation exceeds the predetermined threshold value, a particular type of automated response comprising an action that addresses the variance in performance of the well.

A system includes a power unit, and a coiled tubing (CT) reel for spooling a CT string. The system includes a CT injector for injecting the CT string from a surface into a subsurface to construct a geothermal borehole. The CT injector includes a gooseneck for guiding the CT string into a body of the CT injector. The system includes a first arm for coupling the CT reel and the power unit. The system includes a second arm for coupling the CT injector and the power unit. The system is configured to modify the distance between the CT reel and the gooseneck by adjusting at least one of (i) the length of the first arm or (ii) the length of the second arm.

The invention discloses an autonomous rock-soil body drilling instrument based on the bionic principle and a drilling method thereof.The autonomous rock-soil body drilling instrument comprises a drill bit, a propelling steering mechanism, an anchoring mechanism, an electric control integrated module and a ground control unit, and the drill bit, the propelling steering mechanism and the electric control integrated module are sequentially connected; anchoring mechanisms are arranged between the drill bit and the propelling steering mechanism and between the propelling steering mechanism and the electric control integrated module; the drill bit is used for cutting a rock-soil body and backwards conveying and discharging the cut rock-soil body to the outside of the drill bit; the propulsion steering mechanism is used for driving the drilling instrument to linearly advance and steer; the anchoring mechanism is used for providing counterforce required by drilling or resetting for the drilling instrument through meshing and separation with surrounding rock and soil bodies; and the electric control integrated module is connected with the ground control unit through an integrated communication cable. The device simulates an anchoring-propelling mechanism of natural organisms, realizes autonomous drilling without an external counter-force device, a slurry protection wall and a probe rod, and has the capabilities of multi-directional drilling, active obstacle avoidance and real-time acquisition of a continuous geological section.

The invention discloses a drill rod signal transmission monitoring control method, which comprises the following steps: capturing drill rod axial vibration waveform and peripheral magnetic field vector change data in real time, analyzing and marking potential resonance frequency points, calculating magnetic field intensity break variable, and judging a geomagnetic anomaly region; determining the relevance between a resonance frequency point and geomagnetic mutation through time alignment processing, and separating and coupling interference signals; generating an anti-phase damping wave according to the resonance frequency point, dynamically adjusting the amplitude, and injecting a pre-compensation phase to counteract carrier offset; the signal-to-noise ratio and the phase error after suppression are calculated in real time, and a parameter readjustment process is triggered to ensure the suppression effect; when the rock drilling vehicle enters a new rock stratum, parameters are automatically recorded and updated to adapt to different rock stratum interference characteristics; the drilling stability and the signal quality are obviously improved, and the equipment loss and the maintenance cost are reduced.

The invention discloses a dual-mode control switching method for unattended reconstruction of a rotary drilling rig, and particularly relates to the technical field of mechanical equipment mode switching, and the method specifically comprises the steps of S1, switching request triggering and instruction freezing, S2, full-state snapshot generation and synchronization, S3, three-level progressive arbitration decision, and S4, dual-factor verification and switching execution. And S5, network fluctuation fault tolerance. According to the invention, through overall planning of the vehicle-mounted controller, after a switching request is received, an instruction is frozen, full-state snapshots including sensor data, operation links, equipment health and environment data are synchronized, and switching is completed through three-level arbitration including safety state judgment, authority network verification and target end confirmation and then double-factor recheck. Safe seamless switching between a remote mode and a local mode can be achieved, the situations of instruction conflicts and information faults are avoided, the operation efficiency is improved, fault-tolerant processing is carried out on scenes such as network fluctuation and emergency takeover, and the reliability and safety of unattended operation are further improved.

Apparatus, method and computer program product for controlling flushing in rock drilling and rock drilling rigs. The apparatus includes a control unit (CU) and a computer program (22) for controlling the supply of a liquid component (LC) in an air mist flushing system in response to a detected seepage rate (15) of the drilling performed. An operator (22) can set a desired moisture target value (16) for the cuttings (19) removed from the drill hole (12) and the control system automatically adjusts the flushing system to control the supply of the liquid component.

A method of drilling a borehole into a subsurface region. The method includes identifying, based on a depth of the drill bit in the subsurface region, a collaring stage of drilling the borehole. A sensor a measured parameter of the drill during drilling. The method also includes identifying, based on the collaring stage, a reference value for a drilling parameter of the drill. The method also includes generating a difference between the measured parameter and the reference value. The method also includes determining, from the difference, an adjustment factor to the drilling parameter. The method also includes adjusting the drilling parameter according to the adjustment factor to generate an adjusted drilling parameter. The method also includes modifying, during drilling and with the drill controller, operation of the drill according to the adjusted drilling parameter to change the measured parameter to a new measured parameter.