24 results about "Oil exploration" patented technology

The present application belongs to the technical field of oil exploration, and discloses a method for evaluating the development degree of sand-mudstone reservoir-cap assemblage, which specifically comprises the following steps: conducting regional data analysis for a study area, and mastering the core / cuttings data, logging data and oil testing and production testing data of drilled wells, as well as the seismic data and seismic interpretation horizon data of the whole work area; conducting pre-stack deterministic inversion based on Zeoppritz equation to obtain the data body of the ratio of P-wave velocity to S-wave velocity in the work area; extracting the numerical value of the ratio of P-wave velocity to S-wave velocity along the sandstone layer interpreted by the seismic data to obtain the plan view of the sandstone reservoir; extracting the numerical value of the ratio of P-wave velocity to S-wave velocity along the mudstone layer interpreted by the seismic data to obtain the plan view of the mudstone cap rock; quantifying the relative development degree of the reservoir-cap assemblage by a development degree index calculation formula, constructing the plan view of the development degree index of the sand-mudstone reservoir-cap assemblage, and quantitatively dividing the development degree of the reservoir-cap assemblage. The present application can clearly define the development range of high-quality reservoir-cap assemblage, delineate the favorable exploration area, and further guide the well site deployment of exploration wells.

The application provides a sample classification method and device for first arrival wave deep learning, and relates to the technical field of oil exploration. The method comprises the following steps: acquiring training sample data and classification information to which the training sample data belongs; the training sample data comprises first arrival sample data and first arrival label data corresponding to the first arrival sample data; a classification network model is trained by using the training sample data and the classification information to obtain a training result; and the training result is used for classification prediction processing on to-be-classified first arrival sample data to obtain a first arrival sample classification result. The application can accurately and efficiently classify and screen the first arrival sample data, enriches the type feature information of the first arrival sample data, and improves the pertinence and effectiveness of first arrival wave sample deep learning.

The application discloses an intelligent magnetic detection device for oil exploration, and relates to the technical field of oil exploration, which comprises supporting legs, a detection track fixed on the top of the supporting legs and used for guiding during detection, a driving mechanism arranged on the top of the detection track and used for controlling the detection position within the exploration range to effectively explore, and a detection mechanism arranged on one side of the driving mechanism and used for detecting oil and gas reservoirs and improving the detection accuracy. The detection track is provided with a vortex structure, so that the staff does not need to continuously adjust the position of the device for detection during the exploration, and the detection mechanism is arranged to keep the magnetic detection head vertical and downward during detection, so as to guarantee the measurement accuracy.

The application discloses a hybrid domain intelligent seismic data processing method for old two-dimensional seismic data reprocessing, and relates to the technical field of oil exploration, evaluation and development. The method comprises the following steps: extracting the structural features of the preprocessed seismic data in the time-space domain, and obtaining the local structural direction of the seismic reflection based on the structural features; constructing a structure-noise coupling state quantity based on the local structural direction; performing state-driven structure-oriented update processing on the preprocessed seismic data in the structural domain according to the structure-noise coupling state quantity, so as to obtain the updated seismic data in the structural domain; introducing the structural dip angle information of the structural domain into the frequency-wavenumber domain, and performing structure-restricted frequency-wavenumber domain suppression processing on the updated seismic data in the structural domain, so as to obtain the target seismic data processed in the hybrid domain; and solving the problems that the structure-oriented filtering and the frequency-wavenumber domain filtering are independent of each other, the parameters are static, and the processing stability is insufficient in the prior art.

The application relates to the technical field of oil exploration, and particularly discloses a multi-seismic-source aliasing seismic data decoupling separation method, which comprises the following steps: inputting aliasing seismic data and establishing a mathematical model, converting a separation problem into a signal recovery problem with constraints; reorganizing the data into a common offset domain, constructing a cascade shift embedded Hankel matrix to form a low-rank prior; designing an energy-aware modulation function based on spectral component values to adaptively distinguish effective signals and crosstalk; fusing a weighted spectral norm and a transform domain sparsity constraint to construct a joint structured penalty optimization model; and adopting a variable splitting iteration framework to decompose a sub-problem, alternately solving and adaptively updating weights. The application protects effective signals by relying on an adaptive weight strategy, separates crosstalk by combining low-rank and sparse double characteristics, overcomes signal leakage and amplitude distortion problems, improves waveform fidelity and separation signal-to-noise ratio, and takes into account convergence stability and calculation efficiency, so that the application has important application value in complex geological oil and gas exploration and high-precision seismic imaging.

The present disclosure relates to the technical field of oil exploration and development drilling, and discloses a method and device for determining borehole cleanliness. The method comprises: determining, according to drilling data of a target well, a first factor value for representing the degree of cuttings return, a second factor value for representing the display of sticking, a third factor value for representing the thickness of the cuttings bed, and a fourth factor value for representing the solid content of the drilling fluid; obtaining, according to the drilling data of the block where the target well is located, weight values corresponding to the first factor value, the second factor value, the third factor value, and the fourth factor value respectively; and determining the borehole cleanliness of the target well based on the weight values corresponding to the first factor value, the second factor value, the third factor value, and the fourth factor value respectively, and the first factor value, the second factor value, the third factor value, and the fourth factor value. The method can comprehensively and accurately reflect the borehole cleanliness.

This invention belongs to the field of oil well drilling and reaming technology, specifically relating to a reaming device for oil well development. It includes a connecting drill pipe with a front-end drilling section and a rear-end reaming section connected to it. A central drilling section is connected to the bottom of the front-end drilling section. The front-end drilling section includes a front-end drill body with multiple detachable front-end drill plate assemblies arranged around its periphery. The rear-end reaming section has multiple stabilizing support assemblies, with two stabilizing support assemblies forming a group, and their ends connected to reaming drill plate assemblies. An adjustment drive assembly is located in the middle of the rear-end reaming section, used to adjust the distance between each reaming drill plate assembly and the central axis of the connecting drill pipe. This invention adapts to the reinforcement needs of different formations, especially loose formations, effectively increasing the wellbore diameter while maintaining a smooth transition of the wellbore trajectory, without requiring frequent drill bit changes, achieving a linear and gradual change in borehole diameter.

This utility model discloses a portable terminal device for self-organizing networks based on SUB-1G radio communication technology, including an antenna, a Si4432 communication module, a dual-serial-port MCU controller, a Bluetooth module, a power supply module, a lithium battery, and a charging module. The MCU controller is electrically connected to both the Bluetooth module and the Si4432 communication module. The Si4432 communication module is wirelessly connected to a base station via the antenna, and the Bluetooth module is wirelessly connected to the Bluetooth module on a mobile phone. The power supply module provides power to the Si4432 communication module, the MCU controller, and the Bluetooth module. Compared with existing technologies, this utility model solves the problem of data backhaul in areas without public network coverage during oil exploration and construction in the mountainous areas of Northwest China. Its advantages include a communication distance of up to 3km for a single node, low power consumption (less than 10mA), and the ability to provide communication transmission and interaction in complex terrain during oil exploration and construction in the mountainous areas of Northwest China.

The application relates to the technical field of oil exploration and development, and discloses a stratum blockage identification method and device based on oil and gas reservoir numerical simulation automatic history matching, which comprises the following steps: firstly, a three-dimensional numerical model of an oil and gas reservoir is established; then, dynamic and static characteristic parameters of a production stage of the oil and gas reservoir are used for automatic history matching; in the numerical simulation result, corresponding dynamic and static characteristic parameters of the production stage under the blockage condition are screened to establish a data set; further, a machine learning algorithm is used to establish an agent prediction model, and the data set is used to train the agent model; after the training is completed, the trained model is used to invert and identify main control factors causing the stratum blockage; finally, the main control factors are brought into the three-dimensional numerical model to perform automatic history matching, a non-dominated sorting genetic algorithm is used to optimize the numerical simulation result in a whole solution set space, and finally, an optimal solution set is obtained to identify the stratum blockage. The application can obtain a relatively accurate stratum blockage prediction result and greatly simplify the workload.

The present application relates to the technical field of oil exploration, and more particularly to a method and system for modeling earth stress based on transverse isotropy; comprising the following steps: S1, obtaining well logging data of a study area well, processing and correcting missing sections of the well logging data to obtain processed well logging data; S2, calculating formation pore pressure based on the processed well logging data obtained in step S1; S3, calculating elastic parameters of a transversely isotropic medium, the elastic parameters including Young's modulus and Poisson's ratio; S4, establishing an earth stress model according to the formation pore pressure obtained in step S2 and the elastic parameters obtained in step S3; the present application is suitable for high-precision earth stress calculation of super-deep drilling complex lithology.

The application discloses a kind of jetting post-vibration solid guide pipe construction methods belonging to deepwater oil exploration technical field.The method includes the following steps: assembling guide pipe sending tool, low pressure well head, jetting drilling tool, vibration device and guide pipe;Jetting drilling tool sprays drilling fluid, while guide pipe is sequentially passed through seawater, seabed mud line, seabed rock layer and lowered to the depth of interest, and cuttings are generated around jetting drilling tool;Start vibration device, adjust to the optimal standing time of guide pipe and corresponding vibration frequency and vibration time, and drive guide pipe to vibrate, propagate vibration wave to surrounding soil to consolidate it, and improve the vertical bearing capacity of guide pipe;Close vibration device, and let guide pipe stand until its vertical bearing capacity and total floating weight of sending system maintain static force balance;Release sending system, and raise jetting drilling tool, vibration device and guide pipe sending tool and recover.The application shortens the standing time of guide pipe, thereby shortens the installation time of jetting down guide pipe, and improves the installation speed.

The present application relates to offshore oil exploration and drilling engineering technical field, more particularly, to an abnormal pressure detection and correction method of pressure sensing device. It includes the following steps: S1: converting data into time series format; S2: data segmentation; S3: setting the window size of sliding time window and quantile multiple distance; S4: calculating the difference between the current value and the median value of pressure value in the sliding time window; S5: judging whether the difference falls within the normal range interval; S6: judging whether the current value is equal to the maximum value of pressure value of short-term sequence x2; S7: judging whether the difference between the suspected abnormal value and the median value of pressure of short-term sequence x2 is greater than or equal to the maximum threshold, if yes, the suspected abnormal value is corrected, otherwise the process is ended. The present application can detect abnormal pressure value caused by external factors interference, and correct the abnormal pressure value to normal pressure value, avoiding the misjudgment of the working state of pressure sensing device caused by external factors interference.

The utility model discloses a kind of oil pipeline detection equipment for oil exploitation, belong to oil pipeline detection equipment technical field for oil exploitation, including positioning base, the inner side lower end of positioning base is provided with first arc block, the side of first arc block is provided with push mechanism, the top of positioning base is provided with second arc block, the outer side lower end of second arc block is provided with locating nut, the side of push mechanism is provided with detection machine, the outer side of positioning base is fixedly connected with fixed component, the utility model is provided with push mechanism, electric slide rail drives sliding frame to slide, to drive lower arc plate to move on the surface of electric slide rail, detection machine can be placed on lower arc plate, to push detection machine into oil pipeline, push-down component drives upper arc plate to move downwards, can make upper arc plate and lower arc plate clamp detection machine, drive lower arc plate to move by electric slide rail, detection machine can be automatically pushed into oil pipeline, improve work efficiency.

The present application belongs to the technical field of oil exploration, and relates to a quantitative evaluation method of super-deep carbonate strike-slip fault zone based on three-dimensional seismic data. The method comprises the following steps: S1: obtaining three-dimensional seismic original data of super-deep strike-slip fault zone, extracting and calculating Fault likehood seismic attribute value; obtaining oil and gas testing data; S2: establishing a strike-slip fault zone sample point database; S3: calculating hydrocarbon source stratum deformation intensity I; S4: determining weak-medium threshold and medium-strong threshold of source intensity; S5: establishing a fitting function expression relationship between each hydrocarbon source stratum deformation intensity I and oil and gas testing data, as a quantitative evaluation mathematical model of source intensity; S6: quantitatively evaluating the source intensity of super-deep carbonate strike-slip fault zone. The present application can qualitatively and quantitatively evaluate the source intensity of strike-slip fault, so as to realize the rapid optimization of the favorable area of super-deep carbonate reservoir formation in the area with limited data and few wells.

The utility model relates to petroleum exploitation equipment technical field, concretely relates to a kind of pipeline auxiliary installation equipment for petroleum exploitation, it includes support frame platform, and the upper surface of support frame platform is provided with ring plate, and the plate surface of ring plate is radially slidably provided with arc push plate, and arc push plate is connected radial drive assembly;Two arc push plates are radially symmetrically arranged on the ring plate;Several round wheels are rotatably arranged on the inner arc side of arc push plate, and are evenly arranged along the arc shape of the arc, and the rotation direction of round wheel is towards vertical direction;Two layers of symmetric arc push plates are vertically arranged on the ring plate;Ring plate is connected with rotary drive assembly, and the rotation direction is along the radial direction of ring plate;Speed sensing assembly is provided on arc push plate.The utility model realizes the technical problem of adjusting alignment petroleum exploitation channel when petroleum pipeline is transported, and reducing the damage to pipeline in conveying process.

The utility model discloses a kind of drilling equipment for oil exploitation, including support seat, the top of the support seat is provided with base, and a plurality of first hydraulic cylinders are fixedly connected on base, and the bottom end of the telescopic rod of a plurality of first hydraulic cylinders is fixedly connected with the top end of support seat, and the top end of base is fixedly connected with drilling mechanism, and the position corresponding with drilling mechanism on base is rotatably connected with rotating pipe, and the bottom end of rotating pipe is fixedly connected with multiple vertical boards, and the side end of multiple vertical boards is fixedly connected with bulldozing plate, and the outside of rotating pipe is fixedly connected with first gear, and the top end of base is fixedly connected with fixed frame, and first motor is fixedly installed on fixed frame, and the output end of first motor is fixedly connected with second gear, and second gear is engaged with first gear, to facilitate the soil around the top of drilling to be pushed away, avoid soil to be accumulated in the mouth of drilling, facilitate soil in the inside of drilling to be discharged.

The application provides a lithology combination identification method based on discrete wavelet transform, and the identification method comprises the following steps: core and logging mutual calibration, determination of lithology types, characteristics and combination modes; wavelet transform of characteristic curves, determination of high-frequency signals, medium-frequency signals, low-frequency signals and lithology response characteristics, and discrete wavelet transform of multiple frequency band signals; time-frequency energy research is conducted by using the high-frequency signals, a time-frequency energy graph is prepared, and the vertical sequence of the lithology combination is finely divided according to the energy size. The indication relationship that the red high-energy part represents sandstone and the blue low-energy part represents mudstone in the wavelet time-frequency energy graph is proposed, and is used for guiding the lithology identification in the field of oil exploration and development.

The present invention relates to the direct use by addition of drilling gravels residue from the oil exploration and production activities in the formulation of culture medium of unicellular organisms, increasing its growth rates, intensifying the CO2 biofixation, and generating value to this residue from of productivity gains expected by autotroph and mixotroph organisms (cyanobacteria, microalgae and macroalgae), as well as the production of bioproducts that can be generated through the concept currently described in the literature as biorefining. Algae are cultured using drilling gravel suspended in the culture medium together with the ability to grow by absorbing CO2. Mechanisms used by algae in soils and marine environments to tolerate salinity, sodicity and contamination of petroleum hydrocarbons provides wide adaptation to these conditions of abiotic stress and enables the destination without environmental impact, constituting a satisfactory solution for the destination of the gravel for oil exploration and production.

The application discloses a method for automatically processing complex fault intersection relations and relates to the technical field of oil exploration and development. The method for automatically processing complex fault intersection relations is based on obtained geological exploration fault data sets, comprehensively analyzes fault model characteristic values, screens fault models with intersection relations needing to be processed through visual display, and does not visually display fault models without needing to be processed. The method extends both ends of the fault model with the intersection relation needing to be processed based on set extension distances and cutting distances in a database, obtains an intersection fault model, and judges whether the intersection fault model intersects. If the intersection fault model is judged to intersect, a shared column is generated at the intersection position of the intersection fault model. If the intersection fault model is judged not to intersect, the extension distance is automatically canceled. The automatic processing of the connection and cutting relation of the fault model significantly reduces the time and labor of manually editing the fault model.

The present application relates to the technical field of oil exploration, and discloses a reservoir porosity prediction method, system, device and medium. The method comprises the following steps: obtaining prestack seismic traces and labeled porosity parameters of a preset number of well point sample points; constructing a closed-loop porosity prediction network comprising a first time domain convolution network and a second time domain convolution network; inputting the prestack seismic traces into the first time domain convolution network to obtain predicted porosity through training; inputting the predicted porosity into the second time domain convolution network to obtain synthetic seismic data through training; comparing the predicted porosity with the labeled porosity parameters to obtain a first error value, comparing the synthetic seismic data with corresponding prestack seismic traces to obtain a second error value, and optimizing the closed-loop porosity prediction network based on the first error value and the second error value to determine a functional mapping relationship between the prestack seismic data and the predicted porosity; and predicting target porosity of actual seismic data based on the functional mapping relationship and the closed-loop porosity prediction network.

The present application relates to the technical field of oil exploration and development, and more particularly to a numerical simulation adaptive time step method and device. The method comprises establishing a percolation model of mud filtrate invasion into a reservoir, obtaining a water phase formula, an oil phase formula and a mud filtrate phase formula; dividing the calculation area into difference grids according to the water phase formula, the oil phase formula and the mud filtrate phase formula, obtaining a finite number of grid nodes, and replacing the continuous solution domain with the finite number of grid nodes; and calculating the saturation and the time step corresponding to the saturation according to the solution domain. In the deduction of the numerical simulation of mud invasion, the numerical simulation of mud invasion based on mass conservation obtains reasonable results, and a reasonable invasion time step is set to determine the change relationship between the saturation and the invasion time, the invasion radius and the like. The present application solves the problem of reasonable value selection of the mud invasion simulation time step in the prior art, and further determines the rationality of the mud invasion simulation results.