13270results about "Constructions" patented technology

In one aspect of the present invention, a drill string has a drill bit with a body intermediate a shank and a working face. The working face has a plurality of blades converging at a center of the working surface and diverging towards a gauge of the working face. At least one blade has a cutting element with a carbide substrate bonded to a diamond working end with a pointed geometry. The diamond working end also has a central axis which intersects an apex of the pointed geometry. The axis is oriented between a 25 and 85 degree positive rake angle.

The invention relates to an array electric imaging logging based reservoir oil-water identification method and system. Aiming at the resistivity distribution characteristics of mud-invaded formations, a 'five-parameter formation model' is established, which is adapted to the requirement for simulating the resistivity distribution characteristics of different mud types and different invaded formations, and is pioneering in the aspects of forward-inversion models and processing methods of array electric imaging logging; and based on a 'five-parameter inversion' method for array electric imaging logging, an operation of carrying out resistivity distribution profile reconstruction on mud-invaded formations is performed, which reflects the actual differences between different resistivity distribution characteristics or change rules of mud-invaded oil formations or water formations. The method has stronger practicability, and is pioneering in the actual application aspects of qualitative identification and quantitative calculation on reservoir fluid properties.

A reamer drill bit includes a body having an outer surface defining a plurality of grooves, and a cutter arm with an interior surface. Each groove extends from a first end of the body to a second end of the body and has at least one groove recess, at least one groove peak connected by a sloped section, and a track arranged in the sloped section. The cutter arm is slidably attached to the body, is configured to expand radially away from the body, and is configured to slide longitudinally relative to the body along the track. The interior surface of the cutter arm includes at least one arm valley, and at least one arm protrusion. The at least one groove recess receives the at least one arm protrusion and the at least one arm valley receives the at least one groove peak.

Provided is an intelligent monitoring system for an oil development platform. The system includes external environment monitoring of a well platform, internal environment monitoring of the well platform and platform construction, where the external environment monitoring of the well platform includes real-time monitoring of natural environment conditions around an offshore oil development platform, the internal environment monitoring of the well platform includes collection and analysis of various indexes inside the oil well platform, and the platform construction is based on a three-layer structural design including a sensing layer, a transmission layer and an application layer. The sensing layer collects environmental data of ocean and the well platform through an Internet of Things technology, the transmission layer rapidly transmits data to ensure real-time updating of information, and the application layer processes received data to realize fusion and visualization of the data.

A method may include receiving a description of an event occurring at a wellsite; extracting a failure mode from the description using a fine-tuned large language model (LLM); identifying a matching failure mode from historical data processed using the fine-tuned LLM, where the matching failure mode is associated with one or more remedial actions that successfully resolved the matching failure mode; and outputting the one or more remedial actions for implementation at the wellsite.

Provided is a two-part drilling and running tool, a well system, and a method for forming a well system. The two-part drilling and running tool, in one aspect, includes a conveyance, a smaller assembly coupled to an end of the conveyance, and a larger bit assembly slidably coupled to the conveyance, the smaller assembly and larger bit assembly configured to slidingly engage one another downhole to form a combined bit assembly. The two-part drilling and running tool, according to this aspect, further includes a one way mechanism coupled between the smaller assembly and the larger bit assembly, the one way mechanism configured to allow the smaller assembly and larger bit assembly to axially slide in one direction relative to one another and prevent the smaller assembly and larger bit assembly from axially sliding in an opposite direction relative to one another.

The present invention relates to the technical field of oil and natural gas exploitation, and discloses a real-time monitoring and intelligent control system for hydraulic fracturing cracks in oil reservoirs, including: a real-time monitoring module, which is used to collect crack geometric morphology parameters and construction operation parameters in real time during crack expansion; a nonlinear modeling module, which is connected to the real-time monitoring module, and is used to construct a nonlinear dynamic model of crack expansion according to the collected crack expansion parameters and construction operation parameters, and output a predicted value of crack morphology; an optimization control module, which is connected to the nonlinear modeling module, and is used to calculate the optimized construction parameters according to the nonlinear dynamic model, including injection pressure, injection flow rate and viscosity of fracturing fluid. The present invention realizes precise control of crack expansion, intelligent optimization of construction parameters and efficiency improvement through the closed-loop linkage of real-time monitoring, nonlinear modeling, optimization control and feedback execution.

A method for monitoring an infrastructure of interest, the method comprising: providing a distributed acoustic sensor, an analysis module, and optical fibre cable adjacent to the infrastructure wherein the optical fibre cable is divided into one or more sections, and the distributed acoustic sensor generates DAS sensor data from the one or more sections; providing a processing module comprising one or more processors and a memory, wherein the memory comprises at least two or more processing algorithms, wherein the one or more processors are configured to execute the processing algorithms with the DAS sensor data as input, wherein each processing algorithm is configured to provide an output state for each section of the optical fibre cable adjacent to the infrastructure of interest.

Disclosed is a fracture plugging simulation experimental device and an experimental method thereof. The device comprises a simulated wellbore, a simulated formation, a simulated fracture, a plurality of pressure sensors and vales, a mixing barrel, a liquid injection port and a pressurization port, a liquid collection tank, a plugging fluid storage tank, a heating device, etc. The method comprises: loading the simulated formation with the simulated fracture in the simulated wellbore, closing the second valve and turning on the mixing device, injecting a lost circulation material into the mixing barrel, closing the liquid injection port and turning on the heating device and pressurizing, stopping pressurizing and opening the second valve to establish a plugging process, turning on the plunger pump to continue pressurizing, and collecting a fluid pressure change of the simulated fracture in the plugging process; and calculating a pressure-bearing capacity of plugged fracture.

The present invention relates to a coal mine intelligent directional drill and its drilling method, belonging to the technical field of coal mine drills. It comprises a moving platform, machine frame, clamper, main manipulator, power head, drill pipe storage system, control system, and hydraulic system. The power head structure is improved by adding an angle adjuster with accurate angle adjustment, locking, and anti-rotation functions. The angle adjuster is positioned on the gearbox side opposite the main motor, connected via a driving shaft. The control system includes a toolface azimuth detection and initialization system that works with the angle adjuster. This solves prior issues such as the absence of specialized toolface azimuth adjustment devices, low precision, low track adjustment efficiency, and challenges in achieving automatic directional drilling in the prior art. The invention enhances precision and efficiency, enabling automated, intelligent directional drilling.

A well system comprising: a sediment separator to be positioned downhole in a well, wherein the sediment separator is configured to receive a formation fluid from a subsurface formation surrounding the well, the sediment separator configured to separate out sediment from the formation fluid, wherein the sediment is disposed or stored at surface of the well or a different downhole location in the well; and a fluid separator to be positioned downhole in the well, the fluid separator configured to receive the formation fluid from the sediment separator, wherein the fluid separator is configured to separate the formation fluid into production fluid and nonproduction fluid.

The invention relates to the technical field of horizontal directional drilling monitoring, and particularly discloses a horizontal directional drilling track real-time dynamic monitoring system which comprises a drilling data acquisition module, a self-adaptive data transmission module, a geological layer analysis module, a three-dimensional track monitoring module and an automatic control module. According to the invention, the geological layer analysis module applies an advanced intelligent analysis technology to carry out deep excavation and accurate identification on dynamic data, and the converted drilling data is further converted into a three-dimensional trajectory diagram, so that an operator of a ground control center can master the full view of the drilling operation in real time, the visual monitoring of the operation process is realized, and the working efficiency is improved. The automatic control module fuses a deep learning algorithm, can intelligently identify route deviation or abnormal conditions in the three-dimensional trajectory diagram, quickly generates a visual adjustment instruction, can find and correct potential problems in the first time, and effectively avoids operation delay or resource waste caused by factors such as trajectory deviation.

This invention relates a drill head (4) for use with a microtunneling apparatus (1) having a cutter bar (12) that is rotatable to produce swarf in a working zone. The drill head (4) includes a movable imaging device (46) that is adapted to capture images in the working zone (13). The imaging device (46) is adapted to move from a position within an annular shell (11) to a position external from the annular shell (11).

The invention relates to an intelligent inversion method and system for well drilling overflow shaft gas distribution based on a self-encoder, and belongs to the technical field of oil gas and geothermal development drilling and completion engineering. Comprising the following steps: step 1, accurately solving multiphase flow parameters of a shaft; 2, in combination with the drilling working condition and the geological condition of a specific overflow high-risk well section, based on a Monte Carlo sampling method, eight parameters are changed, uniform sampling is carried out, and a high-precision simulation data set is formed; step 3, constructing a neural network model for gas cut state inversion based on an auto-encoder neural network; 4, training is carried out; 5, standardizing one-dimensional time sequence parameters in the monitoring data; and inputting into a trained neural network model for gas cut state inversion based on an auto-encoder neural network to obtain distribution data of the overflow gas in the shaft in a time period in which the time sequence parameter at the current moment is located. According to the invention, the real-time rapid inversion of the gas distribution in the parallel cylinder during the drilling overflow parallel control period is realized.

A system and method may include receiving data acquired by a downhole tool of a tool string disposed at least in part in a borehole in a subsurface region. The system and method may also include inverting the data using a trained machine learning model to generate a structural feature of the subsurface region. The system and method may further include controlling operation of the tool string based at least in part on the structural feature of the subsurface region.

Systems and methods are for autonomous real-time 3D interactive planning and execution of well paths in a reservoir and controlling drilling of wells within the reservoir. A data processing system determines in-situ well placement based on mapping of the subsurface. The data processing system can optimize well placement based on two-dimensional (2D) or three-dimensional (3D) subsurface mapping based on proactive planning and interactive data acquisition and analysis.

Embodiments include a choke system that passes enlarged debris despite having a relatively small diameter for an input port of the choke system. Embodiments also include systems to prevent dislodging of a choke seat when backpressure is supplied to the choke system. Embodiments also include sealing systems to prevent fluid leaks around the choke seat of the choke system.

The invention relates to the field of measurement while drilling in drilling operation, in particular to a small-diameter resistivity while drilling measuring device which comprises a drill bit installed at the bottom of a drill rod, a main shaft rotationally arranged in the drill rod, hinged plates symmetrically arranged at the upper end of the drill rod, and an annular cavity formed in the drill rod. Annular frames with U-shaped sections are symmetrically arranged in the annular cavity in a sliding manner, a receiving end and a transmitting end are respectively mounted in the annular frames which correspond to each other up and down, and mounting units for limiting the transmitting end and the receiving end are arranged in the annular frames. The high-efficiency detection of measured objects with different depths and angles in a complex geological environment is realized, the vibration generated in the drilling process of the drill bit is effectively absorbed, the transmitting end and the receiving end are ensured to work in a stable environment, the measurement error caused by the vibration is avoided, and the detection precision and reliability are greatly improved.

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; utilizing an information handling system to generate a cement job design based at least in part on the one or more inputs and the hybrid data generator; performing at least a portion of a cementing operation based at least in part on the cement job design; and collecting at least one measurement from at least one sensor during the cementing operation.

The invention relates to the technical field of oil well fault monitoring, and discloses an oil well indicator diagram real-time fault prediction method and system. The method comprises the following steps: acquiring an oil well sensor data stream, buffering and checking data integrity through a sliding window, and aligning multi-channel sensor data by applying a dynamic time warping algorithm to generate a standardized data stream; extracting time domain features based on the data stream, and comparing the time domain features with a historical feature library after principal component analysis dimension reduction to generate a feature difference index; triggering a multi-level threshold strategy according to the difference index, collecting an incremental training data set, finely tuning the model by adopting an elastic weight preserving algorithm, and generating a hot switching ready model; after the model is loaded, a fault probability value is generated through GPU accelerated reasoning, and an early warning event with a timestamp is generated; and finally analyzing the message into an early warning protocol message edge for transmission, and dynamically optimizing system resources based on logs. According to the method, the delay problem of high-frequency data flow is effectively solved, and the fault prediction accuracy and the system response speed are remarkably improved.

The invention provides a distributed optical fiber temperature detection double-end correction device and method, and belongs to the technical field of optical fiber logging, the upper end of a logging optical cable is connected with a ground reference optical fiber ring, and the lower end of the logging optical cable is connected with an optical fiber grating sensor; the electronic temperature sensor is placed in the ground reference optical fiber ring, the measurement and control module is connected with the electronic temperature sensor, and the temperature of the ground reference optical fiber ring is measured through the electronic temperature sensor; the pump light source and the DTS measurement module are connected with the COM optical splitter; the optical switch is used for switching DTS distributed optical fiber measurement and optical fiber grating sensor measurement; temperature values measured by the DTS distributed optical fiber and the optical fiber grating sensor serve as reference data to adjust measurement parameters of the DTS measurement module, and double-end correction of DTS temperature measurement data is completed. The ground reference optical fiber is combined with the electronic thermometer, and the optical fiber grating sensor is adopted underground, so that distributed optical fiber temperature measurement double-end correction is realized.

A wellbore temperature optimization and predication method integrating numerical models and machine learning includes the following steps: establishing a wellbore-formation transient heat transfer model, obtaining an initial data set composed of relevant parameters, normalizing the initial data set, training a wellbore temperature prediction model by using a random forest algorithm, then optimizing the hyperparameters of the random forest algorithm by using a genetic algorithm, performing global optimization by using an annealing algorithm to obtain the optimized wellbore temperature and related parameters, calculating the wellbore temperature by substituting the optimized parameters into the wellbore-formation transient heat transfer model, and performing comparative verification on the optimized wellbore temperature and the calculated wellbore temperature.

The invention discloses a three-dimensional visualization reconstruction method for an overlying rock mass structure on a deep coal mine working face, which comprises the following steps of: 1) arranging a drill hole of a mining drill hole imager on the working face, and collecting and storing basic geological data of an overlying rock layer; 2) outputting a drilling image by the mining drilling imager; 3) based on the constructed convolutional neural network, key geologic features of the borehole image are extracted for classification and identification, and rock stratum, fracture and fault information is obtained; (4) vertical virtual drill holes are transversely and simultaneously formed along the working face of the deep coal mine, stratums are divided, and a three-dimensional geologic model is constructed by using an improved Kriging spatial interpolation method and relying on three-dimensional visualization software; and 5) introducing gas concentration and stress distribution data of the monitoring area of the working face of the deep coal mine, and realizing three-dimensional visualization of the overlying rock mass structure and the risk area on the working face of the deep coal mine through multi-modal data fusion. According to the method, accurate visualization of the overlying rock mass structure of the working face of the deep coal mine can be achieved, and comprehensive geological data support is provided for underground operation.

The invention discloses a digital twin-driven bushing operation monitoring and early warning system, which relates to the technical field of digital twin bushing operation monitoring and early warning, and comprises a multi-source acquisition, transmission, analysis, early warning and interaction module, an acquisition module adopts an ad hoc network, a self-powered sensor acquires data in a multi-mode manner, and the sampling frequency is dynamically adjusted. The transmission module guarantees data transmission through LPWAN, satellite communication and quantum encryption, the analysis module builds a multi-scale coupling model to predict the state and the service life, the model can be adaptively adjusted, the early warning module determines the early warning level in combination with a fuzzy decision and a Bayesian network and gives decision suggestions, and the interaction module provides immersive experience and natural interaction based on VR / AR / MR. According to the invention, comprehensive monitoring, stable and safe data transmission, accurate analysis and prediction, scientific and reliable early warning, convenient man-machine interaction, rapid fault diagnosis, cooperation of all modules, real-time and accurate monitoring and early warning, fault reduction, service life prolonging of a sleeve, safety guarantee and benefit and competitiveness improvement are realized through multi-source acquisition.

Provided is a safety valve, a well system, and a method. The safety valve, in one aspect, includes an outer housing, a bore flow management actuator disposed within the outer housing, and a valve closure mechanism disposed within the outer housing. The safety valve, in accordance with this aspect, further includes one or more permanent magnets coupled to one of a movable feature of the safety valve or a fixed feature of the safety valve, and one or more magnetic field angle sensors coupled to an other of the fixed feature of the safety valve or the movable feature of the safety valve and positioned proximate the one or more permanent magnets, the one or more magnetic field angle sensors configured to sense a movement of the movable feature to determine a health of the safety valve.

A method of optimizing a set of oil producing wells to be drilled in a reservoir includes receiving a base reservoir simulation representative of a geological oil reservoir, clustering the reservoir, and generating, in a first process, a possible pool of well positions in the reservoir, where each well position satisfies plausibility and respects operational constraints. The method further includes, in a second process, optimizing the pool of well positions, the second process maximizing a dynamic variable of the reservoir, and outputting the optimized pool of wells to a user. In embodiments, the second process further includes training a DNN surrogate model to forecast the production of the reservoir; and using the trained DNN surrogate model, optimizing the pool of wells.

Some implementations relate to a downhole separation system configured to be positioned downhole in a well formed in a subsurface formation, wherein the downhole separation system is configured to receive a formation fluid from the subsurface formation and configured to separate the formation fluid into a first fluid primarily comprised of a production fluid and a second fluid primarily comprised of a nonproduction fluid, the downhole separation system including, at least a first coalescer to be positioned within a downhole tubular, wherein the first coalescer is configured to separate out at least a portion of debris and the production fluid from the second fluid.

The invention discloses an injection-production well connectivity modeling and yield prediction method and device, and relates to the technical field of oil reservoir engineering. Comprising the following steps: on the basis of preprocessed time sequence injection-production data, constructing a spatial topological graph structure according to screening conditions; constructing a yield prediction model based on the LSTM-GAT network, taking the spatial topological graph structure as the input of a graph attention mechanism, extracting the time dependence characteristics of the gas injection well and the production well by using the long short-term memory network, and extracting the spatial dependence relationship of the gas injection well and the production well by using the graph attention mechanism so as to output the predicted yield of the production well at the future moment; constructing a fitness function, and introducing a whale optimization algorithm to perform global optimization on the injection-production parameters to obtain an optimal injection-production parameter combination; and outputting the optimal injection-production parameter combination. The problems that when an existing method is used for determining the inter-well communication relation, a large amount of geological data and experiment cost are needed, the analysis process is complex, consumed time is long, and accurate optimization of injection-production parameters is difficult to achieve are solved.

The rock stratum drilling equipment for geological exploration comprises a base fixedly supported on the ground through an external support, one side of the base is fixedly connected with an n-shaped frame, movable grooves are formed in the symmetrical positions of the two sides of the n-shaped frame, and the inner walls of the movable grooves in the two sides are movably connected with movable blocks which do lifting reciprocating motion; a fixed plate is fixedly connected to one side of the movable block, a spline shaft driven by a power mechanism to rotate is connected to the fixed plate in a penetrating and fixed-axis rotating mode, the outer contour of the bottom end of the spline shaft is sleeved with a drill rod conducting lifting reciprocating motion, and a drill bit conducting drilling is fixedly connected to the bottom end of the drill rod. A through hole allowing the drill bit to move for drilling is formed in the position, corresponding to the drill bit, of the base, a knocking mechanism for driving the drill rod to do lifting reciprocating motion is arranged on the fixing plate, the drill rod is moved to smash a rock stratum, and the drilling efficiency is improved.