272 results about "Oil exploration" patented technology

The invention relates to the field of core image analysis, in particular to an oil exploration core image automatic classification and recognition method based on deep learning. Obtaining a gray scale connected domain; obtaining the surface uniformity degree and the particle degree according to the gray scale change of the connected domain; obtaining the edge saliency degree according to the connected domain edge gradient; the distribution similarity degree is obtained by combining the overall gray scale difference between the connected domains, and then mineral feature vectors are obtained; obtaining the terrain change degree according to the gradient distribution around the pixel points; obtaining the porosity degree according to the gray level distribution; obtaining a concave-convex feature vector in combination with the particle degree; obtaining a cluster according to the vector difference and the distance difference of the pixel points, and further obtaining a key region feature vector; and finally obtaining a classification model of the core image according to the three vectors, and carrying out classification identification on the core image according to the classification model. According to the invention, the micro-structure performance of the core image is identified, and the classification model can accurately classify and identify the structure in the image.

The invention discloses a delta-beach bar composite sand body prediction method, which comprises the following steps of S1, acquiring geological background data of a target work area, and dividing delta and beach bar deposition to obtain a beach bar deposition thickness; s2, carrying out source and sink system analysis, establishing a sediment transport channel path, and obtaining a sand body transport path plane distribution diagram; s3, the ancient landform, ancient wind field features and ancient wave field features of the target work area in the deposition period are restored, the ancient landform height and the distance to the source area of the underwater ancient protrusion are obtained according to the ancient landform, and the features include the ancient wind direction, the ancient wind path, the ancient water depth and the ancient wave height; s4, determining a favorable development zone, a favorable development layer section and a favorable development target zone of the delta-beach bar composite sand body; and S5, obtaining distribution characteristics of the delta-beach bar composite sand body of the target work area according to the favorable development zone, the favorable development layer section and the favorable development target area. According to the method, the delta-beach bar composite sand body can be accurately predicted, and technical support is provided for oil exploration and development.

The invention discloses a method for discriminating coincidence evolution of a recoil-strike-slip composite fracture system and a related product, and relates to the technical field of geological structures and oil exploration, and the method comprises the steps: obtaining a seismic data volume; carrying out fault interpretation and stratum interpretation on the seismic data volume by combining a geologic model and a three-dimensional visualization method; a tectonic seismic section perpendicular to the strike-slip-recoil composite tectonic zone strike direction is selected according to the interpretation result; reading a strike-slip fault zone multi-layer vertical fault displacement in the tectonic seismic section, and drawing a fault displacement-distance curve graph; and according to the fault displacement-distance curve graph, establishing a fault sectional growth and recoil-strike-slip fracture system evolution model. According to the method, on the basis of the three-dimensional seismic data fine analysis result, the strike-slip fault zone vertical fault displacement is read, the fault displacement-distance curve graph is drawn, the fault sectional growth and recoil-strike-slip fault system evolution model is established, and the technical problem of how to quantitatively characterize growth evolution of the recoil-strike-slip composite structure system is solved.

The invention relates to a construction method, device, equipment and medium of a complex geological reservoir model, and relates to the technical field of oil exploration and development. Comprising the following steps: combining obtained riverway scale parameter data obtained by field actual measurement, a three-dimensional digital outcrop profile of an outcrop profile of a research area, a geological knowledge database of configuration units at all levels of a sub-facies reservoir of the research area, and sedimentary microfacies distribution of the outcrop profile of the research area obtained by combining the riverway scale parameter data to obtain X, Y, Z, Z, Z and Z; performing two-dimensional training image slicing in three directions of Z and Z; and performing three-dimensional training image simulation on the two-dimensional training image slices by using an s2Dcd-DS coupling algorithm, and performing three-dimensional geological modeling by using a multi-point geostatistics modeling algorithm to obtain a three-dimensional geological model. According to the construction method provided by the invention, the complex geological conditions and structural characteristics of the complex geological reservoir such as the plains of the braided river delta can be effectively represented, and oil and gas distribution, well location deployment and remaining oil excavation of the braided river reservoir can be guided.

The invention provides a rare earth silicon germanate scintillating material and a preparation method and application thereof, in particular to a rare earth silicon germanate scintillating material with high thermal stability and strong radiation resistance and a preparation method and application thereof, the general formula of the rare earth silicon germanate scintillating material with high thermal stability and strong radiation resistance is RE2 (1-x-delta / 2) Ce2xGedeltaSi (1-y + delta) Gey-deltaOz, in the formula, 0 lt; x is more than or equal to 0.05, y is more than or equal to 0.15 and less than or equal to 0.5, delta is more than or equal to 0 and less than or equal to 10 <-4 >, z is more than or equal to 4.95 and less than or equal to 5.05, RE represents a rare earth element, and the rare earth element is selected from at least one of lanthanum (La), lutetium (Lu), yttrium (Y) and gadolinium (Gd). The rare earth silicon germanate scintillating material provided by the invention has the characteristics of strong radiation damage resistance, high scintillation light output, low afterglow and the like while greatly improving the thermal stability, and can be used in occasions with extremely high requirements on the thermal stability or radiation resistance of the material, such as high-energy physical experiments, nuclear medicine imaging, oil exploration wells and the like.

A special double-lifting-ring balancing device for a top drive device relates to the field of oil exploration and comprises the top drive device, the top of the top drive device is connected with a connecting device, a gear box is arranged at the bottom of the top drive device, the connecting device is connected with the gear box through a lifting ring, and the lifting ring is movably connected with the connecting device. The lifting rings are rotationally connected with the gear box, the top drive device is lifted through the two lifting rings and is in a stable state, the stress degree of the double lifting rings is far about that of a single lifting ring, and the stability of the top drive device can be greatly improved while the top drive device is more stable.

The invention relates to the technical field of oil exploration and development, and discloses a drilling speed real-time prediction method only using historical data and controllable data. In order to solve the problem that traditional prediction depends on uncontrollable feedback data and unknown data under the undrilled depth, well drilling parameters are classified in detail, data constraints in real-time well drilling are analyzed, a prediction framework is provided, and missing real-time input is compensated through information in historical data. By integrating previously drilled areas, the model can improve prediction accuracy even when excluding uncontrollable parameters of the undrilled depth. The method emphasizes the importance of combination of a drilling speed prediction method and operation constraints in the real world. The discovery contributes to improving the applicability in drilling operation, provides a feasible solution for predicting the mechanical drilling speed under the actual conditions of limited data availability and complex geological environment, and contributes to intelligent development and management of an oil field.

Disclosed in the present application are a pulse digitization method and apparatus, a correction method and apparatus, and an electronic device and a storage medium. The pulse digitization method comprises: providing amplitude-energy mapping relationship data of a plurality of reference pulses; setting a plurality of energy channel addresses or amplitude channel addresses having representation values; on the basis of results of comparison between amplitudes of a plurality of pulses to be measured and amplitude representation values of the plurality of channel addresses, determining channel addresses corresponding to the plurality of pulses to be measured; and on the basis of the count of pulses to be measured that are in each channel address and the amplitude-energy mapping relationship data or energy representation values of the energy channel addresses, obtaining energy information of the plurality of pulses to be measured. In the present application, complex fitting calculation that is required in a conventional oil exploration process is avoided, and energy information of pulses is directly and quickly obtained by means of threshold value comparison, thereby greatly shortening the dead time of the operation of a collection circuit, and improving the signal collection performance and efficiency. The present application is especially suitable for an ultra-high-temperature environment.

The invention belongs to the technical field of oil exploration, and relates to a pump noise suppression method and system for a while-drilling continuous wave mud pulse signal, and the method comprises the steps: collecting an original mud pulse signal containing a continuous wave pulse signal; pump noise fundamental waves are determined according to the recognized fundamental wave frequency of the pump noise in the original mud pulse signals; constructing a linear time-invariant state space model of the k-order harmonics according to an unsteady state pump noise model constructed by utilizing the pump noise fundamental waves, and constructing a linear time-invariant measurement model of the k-order harmonics; performing pump noise prediction on the constructed linear time-invariant state space model by using adaptive Kalman filtering to obtain an optimal pump noise posteriori estimated value at each moment; reconstructing a pump noise signal in the continuous wave mud pulse observation signal calculated by the linear time-invariant measurement model through the pump noise posterior estimation value to obtain a reconstructed pump noise signal containing all order harmonics; and subtracting the reconstructed noise signal from the original mud pulse signal to obtain a continuous wave mud pulse signal after the pump noise is suppressed. According to the invention, unstable pump noise signals can be efficiently and reliably inhibited.

A tackle special for a top drive device comprises a vertical rail A and a vertical rail B. The vertical rail A and the vertical rail B are connected with each other, and relates to the field of oil exploration, a sliding device is arranged on the vertical rail A, the vertical rail A and the vertical rail B are in sliding connection, the sliding device and the top drive device are connected, the sliding device and the top drive device are fixedly connected, and the sliding device comprises a vertical frame and a transverse frame. The left end and the right end of the transverse frame are each connected with a set of vertical frames, the vertical frames are perpendicular to the transverse frame, the vertical frames are connected with the vertical rails B in a sliding mode, meanwhile, the vertical frames are further connected with the top drive device in a fixed mode, and the transverse frame is connected with the two sets of vertical frames to form a buckled state. The top drive device can be perfectly buckled to the vertical rail A or the vertical rail B through the locking device, meanwhile, the vertical rail A or the vertical rail B is locked through the guiding device, the vertical guiding function of the top drive device can be achieved, the locking function can be achieved, the top drive device is prevented from falling off, the service life of the top drive device is longer, and meanwhile use is safer.

The invention provides a longitudinal wave and converted wave matching method and system based on inversion, and belongs to the technical field of oil exploration, and the method comprises the steps: obtaining logging information, a longitudinal wave superposition data body, a longitudinal wave pre-stack gather data body and a converted wave superposition data body of a multi-component earthquake; performing well-seismic calibration on the longitudinal wave superposition data body and the converted wave superposition data body, and determining the time depth of the target stratum in longitudinal waves and converted waves; correcting the converted wave from the converted wave time domain to the longitudinal wave time domain to obtain a converted wave data body; according to the logging information and the longitudinal wave pre-stack gather data body, carrying out pre-stack inversion to obtain transverse wave impedance; according to the logging information and the converted wave data body, carrying out post-stack inversion to obtain shear wave impedance; and determining a time difference according to the shear wave impedance, and matching the converted wave data volume according to the time difference. The problem that longitudinal waves and converted waves are difficult to match due to large energy, frequency and phase differences is solved, the matching precision of the longitudinal waves and the converted waves is improved, and meanwhile accurate matching between marker layers can be achieved.

The invention provides a method for constructing a geoelectric structure prediction model based on time-frequency electromagnetism, and belongs to the field of oil exploration. The method comprises the following steps: firstly, establishing an initial reservoir model based on a model-driven geophysical inversion process; then geophysical data and a corresponding reservoir model data set are collected, classified and standardized, and construction of the data set is completed; establishing a reservoir geoelectric structure prediction model based on the deep learning model; and finally training the reservoir geoelectric structure prediction model by using the data set to obtain an optimized reservoir geoelectric structure prediction model. Wherein the reservoir comprises an ultra-deep carbonate rock reservoir; the invention further provides a method for constructing the model for predicting the geoelectric structure of the ultra-deep carbonate reservoir. Compared with the prior art, according to the geoelectric structure prediction model constructed by the method, when observation data is input, an inversion result can be obtained without executing an iteration process, and the reservoir oil-water relationship can be further analyzed according to the inversion result.

The invention provides a stratum anisotropy cause classification method and equipment based on a neural network, and relates to the field of applied geophysics and oil exploration and development, and the method comprises the steps: taking a stratum parameter combination as a sample feature of a frequency dispersion data set; a frequency dispersion equation is calculated through a numerical algorithm, and a theoretical frequency dispersion curve is solved to serve as a label of a frequency dispersion data set; constructing a frequency dispersion calculation forward model, and correcting individual error samples in the frequency dispersion data set; using a stratum parameter combination as a sample feature, using the corrected frequency dispersion data set as a label, and updating a frequency dispersion calculation forward model; extracting a frequency dispersion curve of the actually measured sound wave data; obtaining an initial prediction frequency dispersion curve by using a frequency dispersion calculation forward model, establishing an objective function, and updating a frequency dispersion data fitting optimal solution based on iteration of a leapfrog algorithm; and classifying the formation anisotropy causes by using the fitted optimal solution. According to the technical scheme, the problems of long calculation time and poor algorithm stability of a frequency dispersion curve classification method in the prior art are solved.

A rotary device special for an oil exploration top drive device relates to the field of exploration and comprises a rotary body, a convex ring is arranged on the rotary body, the rotary body and the convex ring are fixedly connected, a fluted disc is arranged on the convex ring and connected with two rotating devices, the rotating devices are fixed on a shaft sleeve through a fixing frame, and the shaft sleeve is connected with the convex ring through a bearing. The two acting ends of the rotating body are each provided with a connecting device, the front end and the rear end of the rotating body are each provided with a supporting device B and a supporting device A. Maintenance cost is reduced, the connecting devices in the device are of a structure that concave holes are placed upside down, meanwhile, supporting columns are further arranged in the concave holes, all force bearing points are located on the supporting columns, and when the supporting columns are damaged, the supporting columns are not damaged. And the supporting columns can be replaced, so that the main body is prevented from being replaced, the cost is prevented from being increased, and the effect of reducing the cost is achieved.

The invention discloses a seismic data reconstruction method based on VMD filtering and U-net image segmentation, and relates to the technical field of oil exploration and development. According to the method, the seismic data is decomposed through the VMD method, the difference between the effective signal mode component and the noise mode component in the time-frequency domain is analyzed, the effective signal mode component is optimized on the basis to reconstruct the seismic signal, fine suppression is carried out on local noise, the signal-to-noise ratio of the seismic data can be effectively increased, and the seismic performance of the seismic data is improved. And high-quality training and test data are provided for a subsequent U-net convolutional network model. According to the method, bad traces existing in the seismic data can be effectively extracted, and the missing part of the data can be accurately reconstructed.

The invention provides a seismic horizon interpretation verification method and device, electronic equipment and a storage medium, and belongs to the technical field of oil exploration and development, and the method comprises the steps: building a plurality of seismic comparison profiles passing through a central well point based on the preset central well point and a plurality of standard well points; well-seismic calibration is carried out on the plurality of seismic comparison profiles; carrying out seismic horizon tracking on the plurality of seismic comparison profiles based on the reflection characteristics of the seismic comparison profiles and the result of well seismic calibration, carrying out continuous rolling layer leveling on all tracked seismic horizon on the seismic comparison profiles, and correcting the seismic horizon based on the change trend between the upper horizon and the lower horizon of the leveled seismic horizon; and projecting the plurality of seismic contrast profiles after seismic horizon correction to a three-dimensional space, comparing the seismic contrast profiles with a preset seismic axis in the three-dimensional space, and if no difference exists, confirming that verification is completed. The technical problem that in the prior art, after a seismic interface is projected to a three-dimensional space, the spatial reasonability of seismic horizon interpretation cannot be verified is effectively solved.

The invention provides a method and system for identifying a volcanic institution facies belt boundary, and belongs to the technical field of oil exploration and development. The method comprises the following steps: dividing a drilled facies belt according to three-dimensional seismic reflection characteristics and a preset type of lithofacies proportion of a drilled well; constructing a near-source facies belt pseudo well and a far-source facies belt pseudo well based on the division result of the drilled facies belt and the multiple types of drilled lithofacies; based on the near-source facies zone pseudo well and the far-source facies zone pseudo well, determining a value range corresponding to a preset type of lithofacies proportion of the volcanic institution; based on the three-dimensional seismic data volume of the volcanic institution, a planar graph representing a facies belt is obtained; according to the value range corresponding to the preset type lithofacies proportion of the volcanic institution, volcanic institution facies belt division is carried out on the planar graph representing the facies belt, and the boundary between the near-source facies belt and the far-source facies belt is obtained. Therefore, the boundary between the near-source phase belt and the far-source phase belt is accurately and effectively defined, the near-source favorable phase belt of the volcanic institution is quickly focused, and a foundation is laid for an exploration target.

The invention relates to the technical field of oil exploration, in particular to a U-shaped factorization Fourier neural operator for oil exploration. The system comprises a conversion module, and a lifting operator lifts an input function to a potential space through a linear full-connection network; the U-Net neural network module is used for acquiring high-frequency information; the operator layer module enters a Fourier neural operator layer to learn low-frequency information; and a projection operator is projected back to a physical space through a linear full-connection network. According to the technical scheme, the U-shaped factorization Fourier neural operator can effectively reduce the influence of lost high-frequency information on the solving precision, the difficulty of learning the partial differential equation by the U-shaped factorization Fourier neural operator is reduced, the partial differential equation solver is a core component of petroleum industry software, and the cost is reduced. The assembly is integrated into petroleum industry software and is a key technology for increasing storage and production, improving the recovery efficiency and optimizing the production process.

A gear box special for an oil exploration top drive device relates to the field of oil exploration and comprises a box body, a transmission device is arranged in the box body and connected with an input device A and an input device B respectively, the transmission device is further connected with a drill rod, an upper cover covers the box body, the upper cover and the box body are connected through bolts, and the bottom of the box body is connected with a bottom shell. And the gear B and the gear A are meshed with each other, the single set of gears are connected, it can be guaranteed that the structure is simple, meanwhile, it can be guaranteed that dislocation cannot occur between the gears, and the stability of the gears can be guaranteed.

The present application relates to the technical field of oil exploration, and more particularly to a pipe expanding type screw drill stator forming equipment, comprising: an outer mold structure, comprising an outer mold sleeve, the inner side of the outer mold sleeve having an inner profile line; a mold sleeve driving structure connected with the outer mold structure, used for driving the outer mold structure to rotate along its axis; an inner membrane core, provided in the outer mold sleeve, having a guide neck expanding section and a profile line section, the outer side of the profile line section having an outer profile line; a heating structure, provided at the front side of the guide neck expanding section; a forming support structure, used for supporting the outer mold structure, the mold sleeve driving structure, the inner membrane core and the heating structure; in the processing state, the pipe blank to be processed is heated by the heating structure, expanded in diameter by the guide neck expanding section, and then enters between the outer mold sleeve and the inner membrane core, the outer mold sleeve is driven to rotate by the mold sleeve driving structure, and the stator with the inner and outer profile lines is formed under the action of the inner and outer profile lines, which can solve the problems of deviation, low precision and low processing efficiency of the existing stator forming process.

The invention provides an oil exploration AI modeling system and method based on machine learning, and the method comprises the steps: comparing a time-delay seismic monitoring data volume of a target exploration work area with a reference seismic data volume, and generating a time-lapse seismic difference data volume; constructing a topological connection diagram according to a grid structure of the initial oil reservoir geologic model, and constructing a graph neural network by taking the difference data volume as an observation constraint of node attribute change, and further reasoning to obtain an attribute dynamic correction amount of each grid unit in the initial oil reservoir geologic model; generating a dynamically updated three-dimensional oil reservoir geologic model according to the attribute dynamic correction, and identifying a boundary section needing to be re-evaluated according to gradient change characteristics of the attribute dynamic correction in space; and generating an oil reservoir geologic model parameter adjustment instruction through the boundary section and the dynamically updated three-dimensional oil reservoir geologic model. By adopting the scheme of the invention, fault-crossing attribute error transmission can be avoided.

The invention discloses a corrosion-resistant tensile umbilical cable for an oil exploration platform, and belongs to the technical field of offshore oil exploration equipment, and the corrosion-resistant tensile umbilical cable for the oil exploration platform comprises an outer sheath, an inner protection layer, an enhancement layer, a waterproof layer and a cable core from outside to inside in sequence; wherein the cable core is formed by integrating a plurality of functional units; the waterproof layer is arranged between the cable core and the enhancement layer; the water-blocking layer is formed by superposing an expansion type water-blocking tape and an aluminum-plastic composite film; the enhancement layer is arranged between the sheath and the waterproof layer; the reinforcing layer is formed by spirally winding stainless steel wires and aramid fibers; spirally wound gaps are filled with a silane coupling agent modified nitrile rubber adhesive; the inner protection layer is formed by coating graphene / temperature-sensitive microcapsule self-repairing epoxy resin on the surface of the enhancement layer; and the outer sheath is formed by extrusion after fluororubber and thermoplastic polyurethane are blended.

The invention provides a core image pore identification method and system, and belongs to the field of oil exploration and development, and the method comprises the steps: taking an original U-Net network as a basis, adding a DropBlock layer and a BN layer in a convolution block of the original U-Net network, obtaining a reconstructed convolution block, replacing the jump between up-sampling and down-sampling in an original UNet model with a feature pyramid module FPN, and obtaining a reconstructed convolution block; an improved U-Net framework is obtained; and training the improved U-Net architecture to obtain a pore recognition model for recognizing the core image. And inputting a to-be-detected image into the pore recognition model to obtain a pore recognition result of the core image. The stability and reliability of the prediction result are enhanced, operators can make decisions more quickly, and oil exploration and development schemes are optimized.

The invention provides a logging-while-drilling high-speed transmission system and method based on multi-modal combination, and belongs to the technical field of oil exploration and logging-while-drilling, the logging-while-drilling high-speed transmission system comprises an underground acquisition unit, a transmission unit and a ground decoding unit, the underground acquisition unit continuously acquires multiple types of stratum parameters in the drilling process of a drilling tool and generates standardized data frames, and the transmission unit transmits the standardized data frames to the ground decoding unit; the transmission unit selects different transmission modes to transmit standardized data frames in real time, the ground decoding unit comprises an independent decoding layer, a redundancy check layer and a fusion layer, and the independent decoding layer performs wavelet transformation on the standardized data frames to separate modal signals corresponding to the transmission modes; the redundancy check layer marks conflict data with low consistency by calculating correlation among different modal signals and repairs the conflict data, the fusion layer constructs a probability fusion model based on a Bayesian network, and output data of the redundancy check layer is input into the probability fusion model to obtain decoded stratum parameters. According to the invention, efficient and reliable transmission of underground data can be effectively improved.

The utility model relates to the field of oil exploitation, in particular to an underground sampling device for oil exploitation. The underground sampling device for oil exploitation comprises a shell, the shell comprises a mounting pipe, the front end and the rear end of the mounting pipe are in threaded connection with an end socket and a tail pipe respectively, a plurality of through openings are formed in the outer side wall of the mounting pipe in a surrounding mode, and a hanging ring is fixedly mounted at the upper end of the end socket; a sampling barrel is slidably connected into the mounting pipe, the outer diameter of the sampling barrel is consistent with the inner diameter of the mounting pipe, the sampling barrel comprises a plurality of collecting barrels, collecting grooves are formed in the collecting barrels, liquid inlets communicated with the collecting grooves are formed in the outer side walls of the collecting barrels, and the collecting barrels are in threaded connection in sequence end to end. According to the device, petroleum at different depth layers in a well can be sampled for multiple times in one-time well descending operation, repeated well descending operation is not needed, compared with a traditional sampling mode, time and labor cost are greatly saved, and the working efficiency of petroleum sampling is improved.

The present invention discloses a method for rapidly calculating the response of remotely detected while-drilling electromagnetic wave logging in complex formation structures, relating to the field of electrical logging technology for oil exploration and development. The method comprises the following steps: establishing a two-dimensional heterogeneous isotropic geological model of the complex formation structure; using a regional rapid and precise description method to divide the formation into a collection of triangular units and assign resistivity values; determining the calculation region through adaptive thresholding, segmenting the x and z directions, and sequentially assigning resistivity values ​​to the calculation region grids according to the segmentation points to generate a calculation model; obtaining a large sparse matrix linear equation system; solving the equation system using a hybrid solver to obtain the distribution of the spectral domain field; calculating the integral of the spectral domain field with wave number according to the inverse Fourier transform formula to obtain the spatial domain distribution of the electromagnetic field; and moving each logging point to obtain the while-drilling electromagnetic wave logging response curve for the complex formation environment. The present invention can effectively and rapidly calculate the electromagnetic field response of complex two-dimensional formations, improving the algorithm's adaptability and calculation speed.

The invention relates to the technical field of oil exploration, in particular to a method, a system and a device for determining a strike-slip fracture pull section fault control reservoir target spot, and the method comprises the following steps: S1, determining a strike-slip fracture zone pull section target position range: S101, determining the spatial distribution position of a strike-slip fracture zone pull section according to the response characteristics of a strike-slip fracture zone pull section reservoir; s102, determining a target position range of a strike-slip fault strip pull segment according to a setting method; s2, in the strike-slip fault zone pull segment target position range determined in the S1, selecting a region in a first set condition range as a strike-slip fault zone pull segment target region range; s3, in the strike-slip fault zone pull segment target region range determined in the S2, selecting a region under a second set condition as a strike-slip fault zone pull segment target point position; by considering fault zone-reservoir combined interpretation and analysis, strike-slip fracture pull segmentation target spot design is carried out, the target spot design accuracy is improved, and a guarantee is provided for improving the target rate in a track.

The invention relates to the technical field of oil exploration, and provides an analysis method and device for safe tripping-in of a well completion pipe string, and the method comprises the steps: obtaining the actual hook load data and well section information of an open hole section based on a drifting process; constructing a tubular column friction torque calculation model of the drifting drilling tool assembly; on the basis of the tubular column friction resistance torque calculation model, the actual hook load data of the open hole section and the well section information of the well, the well hole open hole section friction resistance coefficient is calibrated; on the basis of well section information and the well hole open hole section friction resistance coefficient, a solving model of the axial force of the well completion pipe string and a critical load value calculation model of well completion pipe string buckling are built; and on the basis of the solving model of the axial force of the well completion pipe string and the calculation model of the critical load value of buckling of the well completion pipe string, whether the well completion pipe string is safely tripped is determined. According to the method, the friction resistance coefficient in the drifting stage is determined, the invisible shaft cleaning state is known, the current friction resistance coefficient is used for evaluating the to-be-tripped well completion pipe string, and therefore operation risks and operation complexity are avoided, and the operation efficiency is improved.

The invention discloses a nuclear magnetic probe relay mounting bracket assembly and a nuclear magnetic probe, and belongs to the technical field of oil exploration and development, the nuclear magnetic probe relay mounting bracket assembly comprises an electrical connection assembly, a sealing assembly and a frequency adjusting assembly, the electrical connection assembly comprises an upper joint, a lower joint and a transition rod, and the upper joint and the lower joint are respectively connected to two ends of the transition rod; the sealing assembly comprises a sealing plug body, a pressure-bearing sealing plug and a sealing plug contact pin, the sealing plug contact pin penetrates through and is connected to the middle of the sealing plug body in a sealing mode, the sealing plug contact pin is electrically connected with the lower connector, the pressure-bearing sealing plug is connected to the sealing plug body, and the sealing face of the pressure-bearing sealing plug protrudes out of the outer diameter side of the sealing plug body; the frequency adjusting assembly comprises an installation disc used for installing a relay, and the installation disc is connected to the side, close to the upper connector, of the sealing plug body. The sealing assembly is used for sealing, the frequency adjusting assembly is used for frequency adjusting, the sealing performance in the ultrahigh-pressure well hole environment can be improved, and the frequency adjusting precision is improved.

The utility model relates to the technical field of camping houses, and discloses a camping house for petroleum exploration, which comprises a living box body, two entrances and exits are symmetrically arranged on the side edges of the living box body, closing doors are rotatably mounted on the entrances and exits, a box body supporting assembly is arranged at the bottom of the living box body, and a box body is arranged on the box body supporting assembly. A box body supporting assembly is arranged at the bottom of the living box body, a moisture-proof height adjusting assembly is arranged on the box body supporting assembly, the box body supporting assembly and the moisture-proof height adjusting assembly are arranged at the bottom of the living box body, and a polyurethane foam plate and a waterproof sealing plate are arranged at the bottom of a supporting bottom plate in the box body supporting assembly. The polyurethane foam plate can improve the moisture-proof capacity of the bottom of the supporting bottom plate, so that the distance between the bottom of the living box body and the ground can be flexibly adjusted according to user requirements, the ventilation capacity of the bottom of the living box body is improved, and the box body supporting assembly at the bottom of the living box body can be effectively prevented from being easily affected with damp for a long time to be damaged; the service life is prolonged.