3738 results about "Wellbore" patented technology

The invention relates to the technical field of petroleum and natural gas engineering, and discloses a wellbore life cycle management system and method, and the system comprises multiple modules of wellbore design, construction monitoring, integrity evaluation and the like. Accurate design parameters are generated by obtaining geological exploration data, multi-sensor data are collected in real time to guarantee construction safety, integrity is evaluated according to multi-source data, the corrosion rate is predicted, a time-space correlation algorithm is used for integrating data to recognize an abnormal coupling effect, then a risk level signal and an early warning instruction set are generated, and an optimization maintenance scheme is formulated. According to the method, the design accuracy and stability of the shaft can be remarkably improved, the condition of the shaft is comprehensively and accurately evaluated, corrosion is accurately predicted, and risk early warning and maintenance decision making are scientifically carried out. Meanwhile, the management efficiency is improved through visual display, many problems of traditional shaft management are effectively solved, the operation and maintenance cost is reduced, and the safety and economical efficiency of energy exploitation are improved.

The invention relates to the technical field of oil field databases, and discloses a dynamic data management method, device, equipment and medium for an oil and gas field database, and the method comprises the steps: docking multi-source data of the oil and gas field database, the multi-source data comprising a shaft sensor real-time monitoring data flow, geologic modeling gridding structure data and an equipment management tree coding table; the method comprises the following steps: performing abnormal value cleaning and timestamp alignment on real-time monitoring data flow of a shaft sensor, converting geologic modeling gridding structure data into a reservoir unit set with a coordinate system label, extracting a set membership chain of well IDs and equipment IDs in an equipment management tree-shaped coding table, generating an identifier system with a unified coding format, and storing the identifier system in a database; the identifier system comprises a well identifier, a reservoir unit identifier and a device identifier; generating a structured data pool based on the identifier system; and when the data pool is updated, sending a change instruction to a plurality of subsystems of the oil and gas field database, and updating each subsystem based on the change instruction.

The invention discloses a radioactive measurement data processing method for improving uranium exploration efficiency. The method comprises the following steps: standardized data acquisition: integrating a multi-parameter module, carrying out time-space synchronous acquisition of geological geophysical environment parameters, standardizing protocol alignment data, and supporting three-dimensional modeling; a three-dimensional coupling model is used for processing interference in a sub-module mode, LiDAR-DEM is used for correcting gamma attenuation in the terrain, an optical fiber thermopermeability instrument is used for correcting daughter errors in the hydrology, signal attenuation of a borehole is compensated through a drilling fluid chart, and a space-time continuous interference field is formed; performing dynamic equilibrium coefficient inversion: constructing equilibrium coefficient isoparametric mapping, and inputting rock core, logging and geochemical data into a random forest model; the transfer learning is trained by using historical data, and dynamic inversion and updating of a new area are carried out; intelligent data processing three-dimensional visualization: self-adaptive denoising and spectral shape matching reinforcement abnormity are carried out; constructing a three-dimensional model, and carrying out transfer learning to optimize the precision; the WebGL platform integrates multi-parameter display, virtual drilling functions and high-dimensional data intuitive interpretation.

The invention relates to the technical field of oil and gas field development, and discloses an ultra-large type true triaxial hydraulic fracturing fracture evolution path prediction method and system.The prediction method comprises the steps that a coupling geomechanical model integrating microscopic, macroscopic and wellbore flow scales is constructed; initializing the model and performing crack initial expansion simulation; collecting construction data in real time, and dynamically optimizing model parameters through a data assimilation algorithm; performing fracture evolution advanced prediction by using the updated model; and generating an optimization decision based on the prediction result and feeding back to the construction site. According to the method, fusion of a multi-scale physical mechanism and real-time dynamic prediction is realized, and accurate prediction and active control can be performed on crack expansion under the ultra-large true triaxial condition.

The invention relates to a shale oil borehole wall collapse pressure prediction method. The method comprises the following steps: acquiring components, structures and physicochemical properties of a shale oil reservoir; carrying out soaking-nuclear magnetism-sound wave-triaxial stress combined measurement experiments of different drilling fluid systems; constructing a shale oil reservoir rock heterogeneous water absorption and strength degradation equation; establishing ground stress and pore pressure profiles; converting the far-field crustal stress into a borehole and bedding coordinate system; calculating a well periphery stress field generated by water absorption of the surrounding rock; simulating and calculating the temperature field distribution of the rock and calculating a thermal stress value; the well periphery stress value under the force-chemical-thermal-bedding coupling effect is calculated in a superposition mode; constructing a well surrounding rock matrix and weak plane shear failure discrimination function and condition; constructing a shale oil reservoir collapse pressure numerical simulation iterative trial algorithm; determining a formation collapse pressure density control factor and a control mechanism; and the shale oil borehole wall collapse risk is reduced through optimization. According to the method, the shale oil borehole wall collapse pressure under the force-chemical-thermal-bedding coupling effect can be predicted more accurately.

A method of constructing an injection well for a geothermal energy system comprising determining a fracture area of an injection well with a curved wellbore by inputting the curved wellbore path, a set of formation properties, and a fracturing operation, into a fracturing model. The curved wellbore path can promote fracture interference between fracture stresses extending from the injection wellbore. A production model can determine an economic value of the production fluids produced from at least one production well by determining a contact time for the injection fluids to traverse the formation. A design process can iterate the curved wellbore path of the injection well to produce a production fluid with an economic value above a threshold value.

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 a wellbore multiphase flow model numerical solution and gas-liquid distribution state inversion method and system, and belongs to the technical field of petroleum engineering, and the method comprises the steps: 1, constructing and training a physical information neural network for drilling wellbore multiphase flow dynamic simulation and overflow gas distribution state inversion; determining input and output of the physical information neural network; determining a loss function of the physical information neural network; training a physical information neural network; 2, designing an adaptive optimization algorithm, optimizing the final solution precision and convergence speed of the physical information neural network, and obtaining an adaptive physical information neural network; designing an adaptive activation function; designing a self-adaptive sampling mechanism based on residual errors; 3, based on the self-adaptive physical information neural network, numerical solution and gas-liquid distribution state inversion of the shaft multiphase flow model are achieved. According to the method, the problem that a traditional numerical method usually needs high-precision grid division and a large number of computing resources is effectively solved.

The invention relates to the technical field of petroleum and natural gas engineering, and discloses an oil and gas reservoir optimized mining method based on multi-modal data, which comprises the following steps: constructing an oil and gas reservoir multi-modal data acquisition system, seismic wave field data, logging interpretation data, production dynamic data, micro-seismic monitoring data, underground temperature and pressure time sequence data and shaft structure parameter data are obtained through the acquisition system; and performing space-time alignment processing on the acquired multi-modal data, establishing a unified geological coordinate system and a time reference, and eliminating data isomerism caused by different acquisition frequencies and spatial resolutions. A six-dimensional heterogeneous data acquisition system covering a seismic wave field, well logging interpretation, production dynamics, micro-seismic monitoring, an underground temperature and pressure time sequence and shaft structure parameters is constructed, so that the depiction precision of a reservoir porosity field, a permeability field, a saturation field and a pressure field is essentially improved.

Systems and methods for characterizing a subterranean formation that include a drill bit for drilling a deviated wellbore through the formation and that repeatedly changes direction. Also included is a directional drilling system and measurement equipment to detect a property of the formation. A trajectory control system is operable to: receive a well log; determine a property of the wellbore; segment the well log based on the property; and correlate one of the segments with the well log previous to the segment to determine a matching score for the segment. If the matching score is equal to or greater than a minimum threshold, the segment was taken in the formation and at the same stratigraphical true vertical depth (“STVD”). If the matching score is less than the minimum threshold, the segment was not taken in the formation and not at the same STVD and the STVD is estimated.

The invention provides a supramolecular hydrogel packer constructed by interaction of a subject and an object as well as a preparation method and application of the supramolecular hydrogel packer, and belongs to the technical field of drilling fluid packing. The supramolecular hydrogel packer constructed by interaction of the subject and the guest comprises the following raw materials in percentage by mass: 12-36% of a copolymerization monomer, 6-10% of a tannic acid grafted polysaccharide aqueous dispersion, 0.5-1.5% of an initiator, 0.3-0.6% of a cross-linking agent and the balance of water, the total amount of the components is 100%. The raw materials are cheap, easy to obtain, simple in composition, low in cost, green, safe and environment-friendly; the preparation method is simple, mild in condition and easy to implement. After crosslinking, the obtained packer has excellent mechanical properties, temperature and pressure resistance and outstanding pH degradation capability, and can effectively pack a crude oil reservoir to form an integral sealing interlayer, so that heavy oil entering a shaft is reduced; meanwhile, degradation of the hydrogel can be effectively realized, and deblocking is achieved.

A method for performing a refracturing operation using coke proppant particles comprises refracturing a subterranean formation that has been previously hydraulically fractured with respect to a hydrocarbon well by injecting a fracturing fluid comprising a carrier fluid and coke proppant particles into the subterranean formation via a wellbore of the hydrocarbon well.

The invention belongs to the technical field of oil well production management, and discloses an electric submersible pump well group management system and method based on digital twinning. According to the method, operation data of an electric submersible pump unit and environmental data in a shaft are collected in real time, a multi-scale digital twinborn model is constructed for the received data, and the mechanical structure and electrical characteristics of the electric submersible pump unit, the multiphase flow dynamic state in the shaft and geological pressure field data are obtained; trend prediction is carried out on operation parameters, energy efficiency indexes and health states of the multi-scale digital twin model of each well; through a machine learning algorithm and an expert knowledge base, trend prediction data is associated with a historical health database, early warning and intelligent diagnosis of equipment faults are completed, and a maintenance strategy is generated. The method can assist managers to make decisions based on the historical health database. According to the invention, unified management and intelligent well patrol of multiple well sites can be realized, and the oil well production management efficiency is greatly improved.

Systems and methods of the present disclosure includes a mixer configured to mix air and hydrocarbons and a burner configured to receive the mixed air and hydrocarbons and to generate syngas. The system also includes a cooling system configured to receive the syngas and to cool the syngas to form cooled syngas. The system further includes a collector configured to collect carbon from the cooled syngas as soot. Moreover, the system includes a flare stack configured to receive the cooled syngas and to burn off at least part of the cooled syngas.

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 belongs to the technical field of shale oil and gas development, and particularly discloses a multi-source information fused horizontal well casing deformation risk section prediction method, which comprises the following steps: representing shaft crack zone information; establishing a work area construction model and an attribute model; with shaft crack zone information as a constraint, disturbance is performed on crack information predicted based on seismic data, and a three-dimensional crack network model is established; a work area geomechanical model is established, and crustal stress distribution characteristics in the shaft direction of the horizontal well are obtained; a work area casing deformation comprehensive database is established by combining casing mechanical attribute data and work area fracturing construction parameters, and fault zone activity factors are obtained based on the Mohr-Coulomb criterion; and establishing a stratum-fracture-wellbore model, obtaining a mathematical model of fracture zone activity factors and casing deformation degrees, and dividing casing deformation risk grades. According to the method, accurate recognition of the well periphery crack network and advanced pre-judgment of the well periphery crack activation risk and the wellbore casing deformation can be achieved, and guidance is provided for formulating targeted casing deformation prevention and control measures.

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 embodiment of the invention relates to the technical field of petroleum and natural gas engineering, in particular to a drifting drilling tool determining method, device and equipment, and the method comprises the steps that first drilling parameter data corresponding to a drifting drilling tool and second drilling parameter data corresponding to a borehole casing are obtained; calculating a first blocking risk factor of the drifting drilling tool according to the first drilling parameter data, wherein the first blocking risk factor is used for representing the blocking possibility of the drifting drilling tool; calculating a second blocking risk factor of the borehole casing according to the second drilling parameter data, wherein the second blocking risk factor is used for representing the blocking possibility of the borehole casing; calculating a first tripping-in capability index of the drifting drilling tool according to the rigidity of the drifting drilling tool and the first blocking risk factor; calculating a second tripping-in capability index of the borehole casing according to the rigidity of the borehole casing and the second blocking risk factor; and according to the first tripping-in capability index and the second tripping-in capability index, whether the drifting drilling tool is matched with the borehole casing is determined.

The invention belongs to the technical field of petroleum machinery, and particularly relates to a combined type polish rod breakage blowout prevention wellhead device which comprises a valve body, a horizontally symmetrical penetrating cavity is formed in the valve body, the two ends of the cavity are blocked and fixed through glands, and a vertically-penetrating annular channel is further formed in the valve body and allows an oil pumping polish rod to pass through. Two gate plates are further symmetrically arranged in the valve body corresponding to the horizontally-symmetrical penetrating cavity, a rib plate is arranged on one side of the cover plate, and a right-angle rubber base is fixedly connected between the gate plates and the rib plate through bolts. The device can be automatically triggered after the oil pumping polish rod is broken and disengaged, a blowout channel is rapidly sealed, oil well back pressure spraying is prevented, environment pollution caused by crude oil spraying is avoided, and the device has the function of guaranteeing sealing between a wellhead device and the oil pumping polish rod during normal production of a rod-pumped well. And the wellhead device can be isolated from the shaft when the packing is maintained and replaced by the oil extraction system of the pumping unit.

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 provides an analysis method for multi-cluster fracturing crossing in a horizontal well section of a sand shale reservoir, which comprises the following steps of: based on a boundary element theory, considering three-dimensional fracture stress interference and flow distribution of each cluster, and establishing a full-three-dimensional fracture propagation numerical model of segmented multi-cluster fracturing stress interference and flow distribution of a tight gas horizontal well; coupling the wellbore flow model and the crack propagation numerical model through bottom hole pressure to obtain a coupling model; based on a three-dimensional boundary element theory, aiming at the coupling model, discretizing different fracture forms into rectangular units, and establishing a three-dimensional boundary element stress interference calculation model through a superposition principle; under the condition that geological factors are kept constant, the influence of different construction parameters on crack propagation and layer crossing behaviors is analyzed, a crack layer crossing main control factor is obtained, and the conditions and boundaries of segmented multi-cluster fracturing layer crossing of the sand-mud interbed horizontal well are determined. The method provides a basis for optimization of crack parameters and construction parameters.

A milling bit valve is disclosed for improved debris collection within a wellbore. The check valve can be part of a debris removal tool that includes a motor, pump, gearbox, bailer, milling bit, check valve, and rotational shafts. In an example, on its uphole end, the milling bit can be coupled with the check valve. On its downhole end, the milling bit can be configured for debris removal with cutting edges. The downhole end can also include openings that provide access to an internal cavity of the milling bit. The internal cavity can extend the entire length of the milling bit. This allows the pump to pull drilling fluid into the bailers through the milling bit and check valve. As a result, the debris removal tool can simultaneously remove obstructions in a wellbore and collect debris from the obstruction removal.

Some implementations include a system configured for real-time well path optimization of a wellbore being drilled into a subsurface formation, the system comprising: a downhole tool including a resistivity sensor; a drilling assembly coupled to a drill bit, the drilling assembly including the downhole tool; and a learning machine configured to, compare an input image of a resistivity inversion against an archive of historical data; generate, based on the comparison, a real-time well path suggestion; and output the real-time well path suggestion to a user interface.

The invention relates to the technical field of petroleum engineering downhole tools and hydraulic anchor equipment, in particular to an anchoring pressure adjustable hydraulic anchor which comprises a body with a spherical mounting cavity, a plurality of groups of elastic anchor flukes, a universal cylinder core and a flexible diaphragm. A hydraulic cavity is formed in the universal cylinder core, a flexible diaphragm is fixed to the outer side, and the elastic anchor flukes are driven through hydraulic through holes. Under hydraulic driving, the flexible diaphragm expands to push the elastic anchor flukes to stretch out to achieve anchoring. And the universal cylinder core allows angular deflection, so that the adaptability to a bent or irregular shaft is enhanced. The flexible belt is connected with the universal cylinder core and the body to adapt to deviation, and the limiting ring is arranged to prevent excessive expansion from affecting work. The upper connecting cylinder and the body are detachably connected in a sealed mode, and maintenance is convenient. By means of the design, the problem that a traditional rigid structure hydraulic anchor is poor in angle self-adaptive capacity under complex geological conditions is solved, anchoring stability and environmental adaptability are improved, and the hydraulic anchor is suitable for various complex underground conditions.

A method of modeling borehole pressure (BHP) for a wellbore, comprising: receiving field data for the wellbore; training a machine learning (ML) classification model to determine a best physics correlation for BHP in the wellbore using a plurality of physics-based models; determining, using the ML classification model, the best physics correlation based on the field data for the wellbore; determining, using the best physics correlation, a BHP estimate based on the field data for the wellbore; training an ML regression model to determine a residual correction using the BHP estimate and the field data for the wellbore; and determining, using the ML regression model, a final BHP using the BHP estimate and the residual correction for the wellbore.

The invention discloses a deep coal and rock gas horizontal well pressure drainage working system optimization method and system, and the method comprises the steps: building a dynamic relation between the pressure drop and the flow of an oil nozzle based on a Gilbert model, and predicting the change of the gas-water ratio at different stages in combination with a double logarithmic segmentation fitting formula of the flow-back rate and the gas-water ratio; constructing a fracture quasi-steady-state flowing substance balance equation, and deducing an inflow dynamic curve of the flowing bottomhole pressure and the water yield; a Gray multiphase flow model is adopted to calculate the wellbore pressure gradient, and an outflow dynamic curve of the flowing bottomhole pressure and the liquid production capacity is generated; a reservoir, a shaft and an oil nozzle pressure system are coupled through a node system analysis method, an inflow-outflow coordination point is matched, and the size range of the oil nozzle is dynamically optimized. The method realizes accurate prediction and real-time regulation and control of drainage and mining parameters, solves the problem of rapid attenuation of fracture conductivity caused by high stress sensitivity of coal rocks, reduces the risk of pulverized coal blockage, improves the gas recovery efficiency, and is suitable for efficient development of deep coal rock gas wells.

The invention provides an ultra-deep high-pressure gas well variable-flow-state sand-carrying capacity evaluation method, and relates to the technical field of oil-gas exploration, and the method comprises the steps: collecting well logging data of a target gas well, constructing a gas-liquid two-phase flow parameter expression, and carrying out the quantitative analysis of key flow characteristics such as the gas content and the speed; a mathematical model is established by applying an H-K flow state judgment criterion, and numerical simulation is performed in combination with fluid dynamics simulation software, so that the flow state in the shaft is accurately identified and distinguished; then, according to high-temperature and high-pressure characteristics under actual working conditions and sand shape information monitored in a mine field, carrying out secondary correction on the resistance coefficient CD so as to improve a sand-carrying capacity prediction model; and finally, the critical sand-carrying flow velocity and yield are calculated based on the corrected model, and a scientific basis is provided for setting the sand-carrying capacity and reasonable production parameters of the gas well in different flow states. Safe and efficient development of a gas reservoir is guided, production parameter setting is optimized, and long-term stable and efficient operation of a gas well is ensured.

A subsea wellbore monitoring system of the present disclosure includes hanger, plug, and monitoring assemblies. The hanger assembly installs on landing in the wellhead, engages the lock profile, and has a hanger seal sealing in the wellhead. The plug assembly is supported in the hanger assembly and has a plug seal to seal in the landing. Ports of the plug assembly communicate with a bore envelope and an annulus envelope. The monitoring assembly has pressure monitors that communicate with the ports and measure pressure measurements related to the envelopes. The hanger and plug seals can be elastomeric and / or metal elements. The hanger and plug seals are preferably expandable or can be energized outward so the seals can pass any shoulders and profiles when installed in the wellbore and can then seal against the internal surfaces.

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.

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.