9069results 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 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.

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.

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.

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.

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 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 invention belongs to the technical field of geological exploration, particularly relates to a high-adaptability multi-type geological exploration sampling device and an accurate sampling method.The high-adaptability multi-type geological exploration sampling device and the accurate sampling method aim to solve the problems that a drill bit is stuck and stratified sampling is difficult, and the high-adaptability multi-type geological exploration sampling device comprises a base, a vertical plate, a lifting plate and a driving cylinder with the drill bit; a first annular groove is formed in the outer wall of the driving cylinder and matched with the first circular ring, downward-pressing drilling and upward-lifting resetting of the drill bit are achieved, a second annular groove is formed in the drill bit, and the flow direction of hydraulic oil is controlled through a second circular ring connected with a fixing rod; during lifting, hydraulic oil is injected into the second hydraulic channel, the trapezoidal collecting box extends out to scrape hole wall samples, the electromagnet and the iron block are matched to adjust the position of the second circular ring, the working states of the teeth and the collecting box are switched, drill bit jamming is reduced, hole wall sampling at any depth is supported, and exploration efficiency is improved.

A compartmentalized hydraulic fracturing (frac) system may include a mono line configured to carry frac fluid into a well. The system may include a plurality of zones, each zone comprising: a set of one or more frac pumps each configured to pump frac fluid into the mono line, an isolation valve configured to control the flow of frac fluid between the set of frac pumps and the mono line; and a bleed valve configured to release pressurized frac fluid from the set of frac pumps when in an open position. The system may include partition walls between the plurality of zones. The system may include a control system configured to deactivate or reactivate a zone of the plurality of zones by controlling the set of frac pumps, the isolation valve, and the bleed valve of the zone.

Provided is a downhole device, a well system, and a method. The downhole device, in one aspect, includes an electromagnetic assembly, as well as a magnetic target positioned proximate the electromagnetic assembly, wherein one of the magnetic target or the electromagnetic assembly is coupled with a movable feature of the downhole device, the movable feature configured to move to physically couple or physically decouple the electromagnetic assembly and the magnetic target. The downhole device, according to this aspect, further includes a sensor electrically coupled to the electromagnetic assembly, the sensor configured to sense for a change in a DC power parameter powering the electromagnetic assembly as the electromagnetic assembly and magnetic target physically couple to or physically decouple from one another, the sensed change representative of a change of impedance within a coil of the electromagnetic assembly and employable to estimate the status or health of the downhole device.

Methods and systems are disclosed that use a temperature sensor integral to a drill bit during drilling. The temperature sensor is configured to measure temperature associated with a cutting element of the drill bit over time during drilling. The temperature sensor is used to generate temperature data representing temperature of the cutting element of the drill bit over time during drilling. The temperature data is processed to determine and monitor at least one condition of the wellbore and / or the drill bit during drilling, such as i) detection of faults or openings or cracks or other geological rock features of the wellbore being drilled, ii) estimation of one or more drilling parameters of the drill bit (such as rate of penetration (ROP), iii) detection of lost cutting element(s), iv) detection of bit balling, and v) detection of drilling efficiency.

The invention discloses a method and device for recognizing the water outlet position and the water outlet mode of a horizontal well based on DTS temperature profile features. Comprising the following steps: acquiring distributed optical fiber temperature sensing (DTS) temperature profile data along a horizontal shaft; establishing a multiphase flow horizontal well temperature prediction composite model as a forward model; an inversion model is established, and stratum permeability distribution and an oil-water output profile are obtained; according to the well section with the water phase liquid production capacity exceeding a preset threshold value in the production profile, the water outlet position of the horizontal well is recognized; and determining the water outlet mode of the horizontal well by combining the analysis result of the multiphase flow horizontal well temperature prediction composite model on the temperature response in different water outlet modes according to the temperature change characteristics presented at the identified water outlet position by the DTS temperature profile. Compared with the prior art, the water outlet position can be more accurately recognized, the water outlet mode can be effectively distinguished, the monitoring cost is reduced, and powerful technical support is provided for water control and oil stabilization of the horizontal well.

The invention relates to the technical field of underground coal gasification, in particular to a coal underground gasification process stability monitoring and evaluating method which comprises the following steps: determining a space mapping relation between a gasifier temperature field and an acoustic emission event according to the temperature gradient and the acoustic emission event of a gasifier; carrying out three-dimensional inversion on a combustion cavity of the gasification furnace, and determining attenuation trends of the coal seam under different temperature gradients; according to the attenuation trend of the coal seam under different temperature gradients, the propelling direction of the boundary of the combustion cavity is determined by utilizing the spatial distribution density and the relative position of each acoustic emission event; according to the propelling direction of the fuel cavity boundary, boundary moving paths are formed, and the propelling area proportion of each position in the propelling direction is calculated according to the distance difference of the boundary moving paths; and according to the propulsion area proportion of each position in the propulsion direction and the expansion rate of the combustion cavity, determining the space stability classification of each part of the combustion cavity. The accuracy and the efficiency of monitoring underground gasification of the coal seam are realized.

A system and method of monitoring a downhole tool implemented in a wellbore that include identifying, from surface parameters, a surface downlink sent from a surface of the wellbore to the downhole tool. The surface downlink indicates a downlink command for the downhole tool to implement. The system and method further include confirming that the downhole tool received the surface downlink based on comparing downhole telemetry data received from the downhole tool to the surface downlink. The system and method additionally include, determining a status of the downhole tool indicated by the surface downlink based on confirming that the downhole tool received the surface downlink.

The invention discloses an anti-jamming coal mining drilling machine with drilling and multidirectional impacting functions and a using method thereof.The anti-jamming coal mining drilling machine comprises a drilling machine body, a high-pressure driving mechanism is arranged on the drilling machine body through a multidirectional guide rail mechanism, and a drilling assembly is connected with the high-pressure driving mechanism; when the drilling machine works, the high-pressure driving mechanism drives the drill rod and the drill bit to conduct rotary drilling, the high-frequency transverse vibration mechanism synchronously generates transverse high-frequency vibration, the high-pressure driving mechanism drives the drill rod and the drill bit to conduct rotary drilling, and the high-frequency transverse vibration mechanism drives the drill rod and the drill bit to conduct rotary drilling. The friction force between the drill bit and rock is reduced, debris accumulation is prevented, efficient deslagging is achieved, when hard rock or drill jamming occurs, the longitudinal vibration impact mechanism triggers longitudinal vibration, impact and drill jamming prevention functions are achieved through cooperative work of transverse vibration and longitudinal vibration, the drill jamming problem under the complex geological condition is effectively solved, the drilling efficiency and equipment reliability are improved, and the drilling cost is reduced. The device is suitable for drilling operation of mining roofs and baseplates, sides and the like.

A system and method of real-time optimization of drilling performance metrics during a well drilling operation, for oil and gas as well as geothermal wells, or wells drilled for any other purpose. In a preferred form, the system receives information about allowable drilling metrics and real-time information of performance indicators. The drilling performance metrics and performance indicators are used to build a model to predict drilling parameters likely to optimize one or more drilling performance metrics.

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 derrick type continuous oil pipe integrated sidetrack drilling operation device is provided with a base, a derrick, an injection head installation support, an injection head, a lifting oil cylinder, a hydraulic clamp and a remote operation room, one side of the derrick is fully opened, the derrick and the base are both of a lightweight rigid structure, and the injection head is installed at the top of the derrick for remote control. After the base is arranged at a wellhead and is unfolded and installed, one side of the base is connected with the lifting oil cylinder, the other side of the base is in butt joint with the ramp and the pipe rack, the derrick is rapidly erected through the lifting oil cylinder, and after the injection head is hoisted to the top of the derrick, the injection head is rapidly installed and subjected to alignment adjustment through the injection head installation support and the adjusting structure. Meanwhile, the tool rod and the elevator are arranged at the injection head, the tool rod is pulled and placed through the injection head, an oil pipe column and a sucker rod can be independently lifted or lowered, the oil pipe column and the sucker rod are pushed into a ramp from one side of an opening of a derrick, integrated sidetrack drilling operation of the coiled tubing is achieved, and sidetrack drilling efficiency and operation safety of the coiled tubing are remarkably improved.

The invention provides an intelligent monitoring system and method for mine drilling, and belongs to the field of mine drilling monitoring, and the system comprises a multi-mode sensor group which is arranged on drilling equipment and is used for collecting a plurality of drilling parameters in real time, the multiple drilling parameters comprise any multiple of drilling depth data, attitude measurement data of drilling equipment, pressure data of a drilling hole wall, crack image data of the drilling hole wall, vibration data in the drilling process and radial offset of the drilling hole wall; the data transmission module is connected with the multi-mode sensor group and is used for transmitting the drilling parameters to the processing module; the processing module is used for generating drilling state monitoring results according to the drilling parameters, and the drilling state monitoring results comprise any multiple of the drilling depth, the drilling direction, the drilling wall stability and the drilling shape. According to the invention, through synchronous acquisition and fusion analysis of multi-source heterogeneous sensing data, comprehensiveness and reliability of drilling state monitoring are improved.

The invention discloses a while-drilling electromagnetic wave advanced detection sensitivity analysis method, and belongs to the field of oil-gas exploration and development. The method comprises the following steps: constructing a while-drilling electromagnetic wave advanced detection model, quantifying the influence of different measurement parameters on advanced detection signals, then analyzing the response characteristics of the advanced detection signals, extracting key sensitivity factors, and defining a single-parameter sensitivity function and a multi-parameter coupling sensitivity function; the sensitivity of advanced detection signals is qualitatively and quantitatively analyzed from the four angles of the distance to the interface, the formation resistivity, the interlayer and the stratigraphic dip angle, so that the while-drilling electromagnetic wave advanced detection range is optimized, and the adaptability in the well logging process is enhanced. And meanwhile, the advanced detection second-order sensitivity is approximately solved by adopting a central difference formula, influence factors suffered by advanced detection signals are analyzed from a numerical angle, the interaction of multi-parameter coupling is analyzed, and a scientific basis is provided for electromagnetic wave logging while drilling accurate inversion and instrument design.

The invention discloses a polymer-flooding reservoir yield prediction method and system based on a double attention mechanism and a storage medium, relates to the field of oilfield development, and aims to solve the problems that a bidirectional dependency relationship and local features of long-time-series data are difficult to capture at the same time and feature weight distribution and time-series information focusing effects are insufficient in an existing method. According to the technical key points, the method comprises the following steps: S1, collecting field development data of the polymer flooding reservoir and screening optimization characteristics; s2, a CNN-BiLSTM-DAM fusion model is constructed, and the function implementation process of the model comprises the steps that local features of input data are extracted based on a convolutional layer, a dynamic weight is distributed to the local features of each time step through an attention mechanism layer, forward and backward dependency relationships of weighted time sequence feature data are captured through a bidirectional loop structure of a BiLSTM layer, and a dynamic weight is distributed to the local features of each time step; performing weight adjustment on the time sequence features output by the BiLSTM layer through the attention mechanism layer, and capturing global time dependence through the BiLSTM layer; and S3, the optimized features are input into the trained CNN-BiLSTM-DAM fusion model, and the yield of the polymer flooding reservoir is predicted.

The invention discloses a shaft operation state intelligent prediction method based on a hybrid deep learning framework, and belongs to the field of petroleum engineering oil-gas field development engineering, and the method comprises the following steps: building a geological sequestration shaft transient temperature-pressure coupling mathematical model, and carrying out the numerical solution; constructing a double sequence feature database covering CO2 injection and leakage working conditions; adopting a parallel architecture to process the double sequence features to construct an improved double attention network; the method comprises the following steps: establishing a hybrid deep learning framework DT-DANet by coupling an improved double attention network and a time fusion Transform; and carrying out collaborative optimization training on the hybrid deep learning framework by adopting a composite loss function, wherein the output of the framework is a wellbore pressure profile, a temperature profile and phase state distribution under different time steps. According to the method, high-precision prediction of shaft multi-parameter dynamic evolution in the CO2 geological storage process is realized.

The invention discloses a multi-mode drilling process multi-dimensional parameter real-time while-drilling monitoring system, belongs to the technical field of while-drilling monitoring, and solves the problems that a monitoring system matched with an existing engineering driller is insufficient in transient feature capture, deficient in data timeliness and diversity, limited in application scene and low in data reliability under a strong vibration working condition. The system comprises a rock drilling subsystem, a hydraulic pump station auxiliary subsystem, a control subsystem and a data collecting and monitoring subsystem. According to the invention, millisecond-level real-time monitoring, data visualization and storage can be carried out on multi-dimensional parameters such as drilling stroke, pressure, flow, frequency, displacement, acceleration and the like in the while-drilling process. The system is high in integration level, quick in response, complete in data and high in adaptability, and reliability, effectiveness, comprehensiveness and timeliness of while-drilling data are remarkably improved.

Provided herein is PDC drill bits for engaging subterranean formations and for drilling wellbores, wherein the PDC drill bits are adapted to reduce erosion of the drill bit face by the inclusion of openings in a portion of the gauge of the PDC drill bit. The present disclosure also relates to systems and methods of drilling subterranean formations using the drill bits disclosed herein.

The invention discloses an oil-water well acidification continuous construction electric control system based on multi-parameter monitoring, and relates to the technical field related to acidification control in oil-gas field development, and the system comprises a multi-source data fusion monitoring module which integrates wellhead pressure, temperature, flow, pH value, H2S concentration and acid liquid conductivity, and an underground microwave imaging sensor carries out multi-physical quantity collection; a multi-objective optimization controller is designed, and the acid etching depth, the crack flow conductivity and the construction cost are balanced; the self-adaptive construction control module is based on a variable-frequency and variable-speed acid pump system controlled by a fuzzy sliding mode and is used for realizing stepless regulation of displacement; an intelligent shunting system is arranged, and acid liquor distribution is dynamically adjusted according to the suction volume of each layer section. According to the variable-frequency acid pump system based on fuzzy sliding mode control, stepless adjustment of the displacement is achieved; the intelligent flow distribution system dynamically prepares liquid according to the suction volume of each layer section; and through a three-stage safety interlocking mechanism, power can be cut off and emergency acid discharge can be started within 0.5 second when the temperature rise is greater than or the pressure suddenly changes, so that the well control risk is reduced.

The invention discloses an oil-water well liquid production profile identification and inversion method, system and program product, relates to the technical field of oil-gas field development, and solves the problems that in an existing liquid production profile monitoring method based on DAS and DTS technologies, DAS signals are prone to being interfered by fluid flow, the signal quality is poor, liquid point information cannot be accurately reflected, and the reliability is poor. The problems that liquid production profile information of DTS signal inversion lacks enough spatial constraint conditions, and the inversion result is large in deviation are solved. According to the method, the local liquid production characteristics in the DAS signals are extracted through blind source separation, the liquid outlet point positions are effectively recognized in combination with a statistical screening method, the recognized liquid outlet point positions serve as constraint conditions to be introduced into the DTS inversion process, and the precision and stability of the inversion result are effectively improved; the method not only overcomes the limitation of a traditional F-K spectral analysis method in an oil-water well environment, but also can introduce effective spatial constraints in DTS inversion, significantly reduces inversion errors, and improves the interpretation precision of a liquid production profile.

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 discloses a method and system for detecting a well wall in real time, electronic equipment and a storage medium. The method and system are used for judging well drilling abnormity by analyzing the shape of rock debris. The method for detecting the well wall in real time comprises the steps that multi-mode underground real-time data are obtained; inputting the multi-modal underground real-time data into a pre-established anomaly recognition model, performing streaming reasoning, and outputting a recognition result; performing time sequence integration and trend analysis according to the identification result to obtain an analysis result; generating real-time alarm information according to a preset decision threshold rule and the analysis result; the anomaly recognition model is obtained through the following training method: acquiring multi-modal underground historical data; performing time synchronization processing and space positioning processing on the multi-mode underground historical data to obtain processing data; performing exception annotation on the processed data according to expert knowledge, and constructing an annotated data set; and training the multi-modal fusion anomaly recognition model according to the labeled data set to obtain an anomaly recognition model.

The utility model discloses a hydraulic rock drill which comprises a machine body composed of a machine base, a cylinder body, a middle body, a gear box, a gear box cover and a machine head which are sequentially connected, a first cavity for containing an impact piston and a second cavity for containing a bit shank are formed in the machine body, and a cooling lubricating cavity communicated with the first cavity and the second cavity is formed in the machine body. An air inlet chamber is formed in the machine base, and an air inlet communicated with the air inlet chamber is formed in the rear end of the machine base. The impact piston is provided with a central channel which is communicated with the air inlet chamber and the cooling and lubricating air chamber; an air passing channel which is communicated with a gap between the bit shank, the rotary assembly and the machine head and a gap between the bit shank and the machine head part is formed in the machine head; cooling and lubricating air introduced into the air inlet chamber enters the cooling and lubricating cavity through the center channel of the impact piston, sequentially passes through the bit shank, the gap between the rotary assembly and the machine head and the air passing channel, enters the gap between the head of the bit shank and the machine head and is blown out, and the situation that the cooling effect is poor due to the fact that air flow is poor after heat exchange is avoided.