17results about How to "Reduce drilling risk" patented technology

The invention relates to the technical field of logging while drilling, and discloses a near-bit stratum detection method, system and device, electronic equipment and a medium, and the method comprises the steps: transmitting a seismic wave to a to-be-detected stratum in front of a drill bit through an underground vibroseis, and receiving a reflected wave signal of the to-be-detected stratum through a geophone; calculating the relative position of the stratum in front of the drill to the drill in real time according to the reflected wave signal; acquiring a first lithologic seismic wave characteristic parameter of the reflected wave signal and a second lithologic seismic wave characteristic parameter of a known typical stratum; matching the first lithologic characteristic wave characteristic parameter with the second lithologic seismic wave characteristic parameter, and determining the formation lithology and the geological structure of the formation to be detected; outputting the stratum information of the to-be-measured stratum including the distance data, the stratum lithology and the geological structure; the seismic waves are not affected by various complex geological environments, the stratum information of the stratum to be measured can be accurately obtained, the drilling risk is reduced, and the drilling efficiency and safety are improved.

The invention relates to the technical field of automatic well logging, in particular to a plateau area well logging operation automatic system which comprises a rock stratum characteristic analysis module, a data processing module, a data processing module, a data processing module, a data processing module and a data processing module, and the rock stratum characteristic analysis module is used for performing pixel point detection and area marking based on rock stratum texture and fault line image data of a plateau area and performing characteristic extraction and node correlation analysis on each node; and establishing a structured geological map. According to the method, details and accuracy of geological data are ensured through accurate analysis of rock stratum texture and fault line data in the plateau area, real-time feedback and parameter adjustment are performed by using the high-quality data, the drilling risk caused by rapid change of geological conditions is effectively reduced, and the drilling efficiency is improved. By dynamically adjusting the drilling parameters, the possibility of equipment failure and operation interruption is reduced, the continuity and safety of drilling operation are optimized, the establishment of a geological map is enhanced, and the data has higher prediction value and operation guiding significance by improving the relationship between data points, so that the accuracy of decision support and the overall efficiency of oilfield development are improved.

The invention belongs to the technical field of oil and gas field exploration and development, and discloses an earthquake identification method and system for an internal structure of a small-scale low-sequence fault zone, and the method comprises the steps: determining an earthquake frequency division body of a target interval according to geological data; determining a minor fault main component tuning frequency division body and a minor fault background frequency division body according to the seismic frequency division body of the target interval; carrying out breakpoint sharpening processing on the minor fault main component tuning frequency division body to obtain seismic amplitude data after breakpoint sharpening processing; merging the minor fault background frequency division volume and the seismic amplitude data after the breakpoint sharpening processing to obtain a fused data volume; and determining the internal structure of the fault zone according to the fused data volume. According to the method, factors of an internal structure of the small fault zone and seismic reflection characteristics of the small fault zone are considered, breakpoint sharpening processing is introduced for the first time, and the continuous characteristics of small fractures in the longitudinal direction are enhanced. According to the method, the recognition precision of small fault recognition on seismic data can be improved, and the reflected small fault structure is more deterministic.

The invention belongs to the technical field of solar energy, and particularly relates to a side opening type strong magnetic fisher which comprises a base body, a connector is fixedly connected to the upper portion of the base body, a baffle is fixedly welded to the lower portion of a cylinder of the base body, a bottom plate is fixedly welded to the interior of a semicircular cylinder of the base body, and an insulating partition plate is arranged on the bottom plate. A strong magnetic positioning block and a strong magnet are arranged on the insulating partition plate, and the strong magnetic positioning block, the strong magnet, the insulating partition plate and the bottom plate are fixed together through screws. Due to the fact that the shifting plate is arranged on the outer side of the semicircular cylinder of the novel side-opening type strong magnetic fisher, a large gap is formed between the well wall and the semicircular cylinder, drilling fluid can return upwards easily, the semicircular cylinder can be protected against excessive abrasion, and the service life of the side-opening type strong magnetic fisher is prolonged.

The invention relates to a method for evaluating the oil and gas transport capacity of a premature senility type oil source fault, and belongs to the technical field of oil and gas exploration, and the method comprises the following steps: determining a longitudinal cutting layer series of the fault according to an existing seismic data result, and judging whether the fault is the premature senility type oil source fault or not; calculating the fault displacement and the fault inclination angle of the premature senility type oil source fault according to the measured horizontal distance and vertical distance between the premature senility type oil source fault and the top surface of the hydrocarbon source rock stratum system and the included angle between the fault trend and the measuring line; according to the section depth, the fault dip angle and the stratum water density of the premature senility type oil source fault and the overlying stratum density of the premature senility type oil source fault, the section positive pressure of the premature senility type oil source fault is calculated; and according to the fault displacement of the premature senility type oil source fault, the fault inclination angle, the section positive pressure of the premature senility type oil source fault and the formation pressure coefficient, a conduction capability coefficient calculation model of the premature senility type oil source fault is established so as to quantitatively evaluate the oil and gas conduction capability of the premature senility type oil source fault.

The invention belongs to the technical field of petroleum and natural gas drilling exploration and development, and discloses a geosteering parameter modeling method suitable for a complex thin layer, which comprises the steps of seismic data collection and geological profile evaluation, geological data analysis and target window feature determination, drilling trajectory guiding model establishment, drilling dynamic tracking, real-time borehole correction and the like. And accurate guiding is realized. Target window control is carried out by combining a layer thickness method and a segmentation method, and a drilling trajectory is monitored in real time by adopting a'five maps and one table 'tracking method, so that efficient passing of a drill bit in a target reservoir is ensured. According to the method, the drilling rate under the narrow target window geological condition is remarkably improved, the drilling risk is reduced, and the development efficiency and economic benefits of the shale gas well are improved.

The application discloses a method and device for adjusting a drilling trajectory of a horizontal well. First, a standard well used for stratum comparison with a well to be drilled is determined, and a horizontal well geosteering model is established in combination with geological data and drilling engineering data. A current well resistivity while drilling and a while drilling gamma curve are compared with a standard well logging curve, and a target point vertical depth is calculated. In combination with a real-time response of a while drilling azimuthal resistivity boundary detection curve, a landing point of a target layer is determined, and a suitable hole inclination angle is used to enter the layer. A drilling trajectory and a relative position relationship with a stratum interface are determined by fitting a while drilling simulation curve of the horizontal well geosteering model with a current well actual drilling curve. A stratum interface azimuth and a distance from the trajectory to the interface are determined in real time by developing a while drilling azimuthal resistivity boundary detection rapid inversion, and the horizontal section drilling trajectory is adjusted. In combination with logging data and directional actual drilling characteristics, a layer position where the trajectory is located is judged, and a sand body distribution and a stratum change trend are predicted in combination with a regional seismic profile, so that the drilling trajectory is pre-adjusted.

The present invention provides a method for identifying bioherms, which includes the following steps: establishing a velocity model; using the velocity model to convert a CRP gather in the time domain into a CRP gather in the depth domain; converting the offset gather of the CRP gather in the depth domain into an angle gather; using the amplitude stacking imaging of the angle gather to determine the target layer segment where the bioherms develop; calculating the seismic morphological index attribute data body of the target layer segment, thereby identifying the bioherms. The bioherm identification method provided by the present invention has low dependence on well drilling information, can improve the accuracy of identification and description of subsalt bioherms, is more suitable for processing and imaging of seismic geometric convexity parameter attributes in large work areas, can provide high-quality drilling targets, reduce drilling risks, and has great application value.

The present application relates to a kind of wall sticking while drilling density detection device, comprising: main control and circuit skeleton component;Main drive shaft component, with the outer wall of main control and circuit skeleton component connection;Telescopic sleeve component, with main drive shaft component rotatable connection;Push and stick measurement component, with telescopic sleeve component connection, and push and stick measurement component when telescopic sleeve component moves, push and stick measurement component can release and contract along the radial of wall sticking while drilling density detection device, for density detection and away from well wall to complete density detection in the process of release and contraction of push and stick measurement component.The present application avoids the risk of sticking of push and stick measurement component;And for density detection and away from well wall to complete density detection in the process of release and contraction, avoid the collision wear and tear and scraping of push and stick measurement component by rough well wall, also reduce the drilling risk in the process of detection.

The embodiment of the invention provides a broken-karst reservoir analysis method, system and equipment and a storage medium, and belongs to the technical field of oil exploration and development. The fault-karst reservoir analysis method comprises the steps of obtaining target logging data and well-side seismic data of an oil field, performing horizon calibration according to the target logging data and the well-side seismic data, and determining a mapping relation between the target logging data and the well-side seismic data, based on different preset models and the mapping relation between the target logging data and the well-side seismic data, wave impedance inversion is carried out according to the target logging data and the well-side seismic data, and a target wave impedance body is obtained. According to the embodiment of the invention, the wave impedance iterative inversion is carried out by using the preset model, so that the accuracy of reservoir prediction is improved, and the risk of drilling is reduced.

The invention provides a pore pressure prediction model based on a knowledge perception time fusion converter. According to the model, the prediction accuracy of the pore pressure is effectively improved by integrating field professional knowledge and time sequence data. In the data processing stage, firstly, original logging data are preprocessed, including abnormal value detection, missing value filling and data segmentation, so that the quality and integrity of the data are ensured. In the feature extraction stage, time sequence statistical features, rock physical characteristics and empirical formula parameters are extracted from logging data by using a knowledge extraction method, and the features cover physical parameters, mechanical properties and fluid properties of a stratum. Through feature screening, key features which have great influence on pore pressure prediction are reserved. In the model training and evaluation stage, the model is trained by using training set data, and the generalization ability and robustness of the model are verified on an independent test set. The method not only improves the prediction precision of the model, but also obtains an excellent result in practical application, so that the method becomes an effective choice for replacing the traditional technology.

The invention belongs to the technical field of natural gas exploration and development, and discloses a fault control type karst residual hill weathering crust gas reservoir favorable area optimization method and related device.The method comprises the steps that well seismic data in a target area are obtained, marker beds are selected according to the well seismic data for layer position calibration, and the stratum thickness of each layer is counted; according to the horizon calibration and the stratum thickness, an impression method and a trend surface removing method are adopted to recover ancient landform and micro-ancient landform forms, and a target area weathering crust interface top surface structure and a fracture distribution diagram are compiled; and calculating an ancient landform evaluation index, a structure evaluation index and a fault evaluation index at the deployment well point according to the ancient landform, the micro-ancient landform, the weathering crust interface top surface structure and the fracture distribution diagram, solving a comprehensive evaluation index of a favorable region, and screening a favorable target region. According to the method, the relevance and interaction of different control factors are explored, a multi-factor fusion method is provided to solve the favorable area, and the method has better evaluation means and accuracy.

The present invention belongs to the field of oil and gas geological exploration, and relates to a method and system for evaluating the conductivity of static oil source faults during the reservoir formation period. The method steps are: determining the longitudinal cutting layer system of the fault, judging whether the fault is an oil source fault according to whether the fault cuts the underlying hydrocarbon source rock; calculating the fault distance of each oil source fault; calculating the fault fracture zone identification parameters, and identifying the upper and lower plate induced fracture zones according to the fault fracture zone identification parameters; performing correlation analysis to obtain the linear relationship between the induced fracture zone widths of the upper and lower plates, and the linear relationship between the sum of the induced fracture zone widths and the fault distance; calculating the induced fracture zone widths of the upper and lower plates according to the linear relationship, and evaluating the conductivity of the fault for oil and gas based on the distribution characteristics of the induced fracture zone widths of the upper and lower plates. The system is used to implement the above method. The present invention can accurately evaluate the conductivity of static oil source faults during the reservoir formation period for oil and gas.

The invention provides a method and device for predicting the shale content of a reservoir through a pre-stack earthquake, electronic equipment and a medium, and the method comprises the steps: carrying out the pre-stack AVO processing, and obtaining the near-track and far-track superposition data; through well seismic calibration, seismic wavelets of near-trace and far-trace superposition data are extracted; wavelet shaping and zero-phasing processing are carried out; wave impedance and elastic impedance of the reservoir are calculated through colored inversion; calculating the shale content of the reservoir; carrying out standardization treatment on the shale content; and determining a drilling target according to the characteristics of the shale content plane distribution diagram of the reservoir. On the basis of reservoir rock physical parameter characteristic research, the nonlinear multivariate function relation between the reservoir shale content parameters and the reservoir pre-stacking elastic attributes is established, prediction of the reservoir shale content parameters is achieved, the accuracy of high-quality reservoir identification of the oil reservoir can be improved, the distribution characteristics of the high-quality reservoir can be determined, the drilling target can be optimized, and the method is suitable for the high-quality reservoir identification of the oil reservoir. The drilling risk is reduced.

This invention relates to a method and apparatus for predicting the depth of the overpressure top surface before drilling in exploration wells. The method includes: collecting formation pressure test data from drilled wells in the study area, including multiple drilled formation pressure test points; obtaining the density curves of the exploration wells; and calculating the overlying strata pressure P of the exploration wells based on the density curves. O and the hydrostatic pressure P of the exploration well 静水 According to the overlying strata pressure P of the exploration well O The hydrostatic pressure P of the exploration well 静水 Based on the aforementioned multiple drilled formation pressure test points, the pre-drilling overpressure top surface depth H of the exploration well was determined. TOP This invention relates to a method for predicting the depth of the overpressure top surface before drilling in exploration wells. It utilizes the trend of density variation with burial depth and analysis of formation pressure test data from drilled wells to avoid the uncertainty caused by relying solely on formation velocity to predict the overpressure top surface, thereby improving the accuracy of overpressure top surface prediction before drilling in exploration wells.

The application provides a device and method for real-time processing of electrical imaging data while drilling, which comprises: a downhole imaging module for collecting resistivity imaging data of a required formation by using a downhole resistivity imaging instrument; an intelligent identification module for analyzing and identifying the collected resistivity imaging data by using a chip structure embedded with a set intelligent feature identification model, determining corresponding formation characteristics of well logging, and associating and fusing the corresponding formation characteristics with matching formation parameters into a feature identification result; and a real-time communication module for transmitting the fused feature identification result to a ground control system. The application establishes a formation feature identification model of resistivity imaging data while drilling based on an intelligent algorithm to perform real-time feature identification, overcomes the time limitation of ground data acquisition in the prior art, improves a data transmission mechanism, helps a ground engineer to obtain effective formation information in time, and thus makes a quick on-site decision, effectively reduces drilling risks, and optimizes the quality of drilling operations.

The application provides a method and device for predicting a target layer seismic drilling data while drilling, wherein the method comprises the following steps: generating geological layered depth domain data according to two-dimensional drilling data and two-dimensional logging data, so as to establish a time-depth dictionary; determining a first contribution degree of GST structure characteristic attribute data, a second contribution degree of amplitude energy attribute data and a third contribution degree of frequency absorption attenuation attribute data from three-dimensional seismic data, so as to establish initial seismic drilling data characterized by multiple and multiple types of composite attributes; obtaining real-time two-dimensional drilling data, so as to obtain updated first, second and third contribution degrees and obtain seismic drilling prediction data of the target layer characterized by multiple and multiple types of composite attributes. Through the above scheme, the technical problem of low accuracy in existing hole reservoir prediction by a single attribute is solved, and the technical effect of effectively improving reservoir prediction accuracy and reducing drilling risk is achieved.