8 results about "Micro drilling" patented technology

The invention relates to a soil remediation engineering-oriented multi-source heterogeneous data processing and integrating method, which comprises the following steps of: performing automatic analysis on multi-source data of soil remediation, and converting the multi-source data into a bcm format exclusive to a platform; local coordinates of the microcosmic drilling point cloud and WGS84 coordinates of the macrotopography are fused, and data scales are automatically switched according to the visual angle of a user based on the LOD technology; a micro-macro integrated three-dimensional scene is constructed, and dynamic visualization and multi-scale simulation analysis of the repairing process are achieved; a standardized data interface and a real-time linkage mechanism are constructed, and Internet of Things equipment data access, repair process dynamic monitoring and process parameter intelligent optimization are realized. According to the method, full-flow digital, visual and intelligent management of multi-source data of the soil remediation digital twin platform is realized, efficient and accurate technical support is provided for the soil remediation digital twin platform, intelligent and visual upgrading of soil remediation engineering is promoted, and a scientific basis is provided for subsequent optimization decision making.

The invention relates to the technical field of coal mine safety mining, and discloses a well drilling and completion method for a broken and soft low-permeability low-pressure coal seam coalbed methane horizontal well, which comprises the following steps that a near-bit guide drilling tool combination is adopted for drilling, the combination comprises a bit, a near-bit short section and a gamma probe, and the distance between the gamma probe and the bit is 0.3-0.5 m; in the drilling process, a micro-step length monitoring device is adopted to collect and transmit drilling time data in real time, the measurement step length of a drilling time sensor of the monitoring device is 0.1 m, and drilling parameters are optimized in real time in combination with the drilling time data and a preset well wall stability model. By establishing a well wall stability prediction model of the horizontal well of the fractured and soft low-permeability coal seam, key parameters of drilling engineering are optimized, a well drilling and completion process technology of micro drilling, near-bit geosteering, low-pollution well wall strengthening and floating casing running of the fractured and soft low-permeability coal seam is formed, and the safe and efficient well drilling and completion target of the fractured and soft low-permeability coal seam is achieved.

The present invention relates to a laser drilling system, and aims to provide a dual-beam laser drilling system for high-speed micro drilling. To that end, the present invention discloses a dual-beam laser drilling system comprising a first laser source outputting a first laser pulse; a second laser source outputting a second laser pulse; an optical coupling unit coaxially combining the first laser pulse and the second laser pulse; a scanner for drilling by irradiating the coaxially combined laser beam to a processing target; and a controller controlling the first laser pulse and the second laser pulse in synchronization, wherein the first laser pulse and the second laser pulse have different characteristics from each other.

The invention discloses a formation characteristic while-drilling identification method, system and equipment based on drilling parameters and a medium, and relates to the technical field of petroleum and natural gas drilling engineering. The method comprises the steps that firstly, small layers are classified according to element logging results of adjacent wells, drilling parameters and micro drilling speed data are collected, and a time-drilling parameter-micro drilling speed matrix is constructed; on the basis, the while-drilling vibration data is divided into different magnitudes through a clustering method, and the characteristics of each vibration magnitude are quantified by combining abrupt change point density analysis. Then, an improved deep convolutional neural network algorithm is utilized to establish a correlation model of the catastrophe point density and the small-layer micro drilling rate data of the stratum; and finally, dynamically judging the stratum type in the drilling process by calculating the correlation coefficient of the micro drilling speed and the abrupt change point density in real time, thereby realizing accurate stratum identification. The method can improve the accuracy of while-drilling identification of the small layer of the horizontal section stratum, and is suitable for while-drilling identification under different geological conditions.

The invention relates to the technical field of micro drilling, and provides a drilling characteristic analysis method, electronic equipment and a storage medium. The drilling-in characteristic analysis method comprises the following steps: acquiring continuous multiple frames of drill bit images when a drill bit is drilled, determining the position of the central axis of the drill bit according to each frame of drill bit image, determining the change information of the angle of the central axis according to the position of the central axis in each frame of drill bit image, and determining the drilling-in characteristic of the drill bit according to the change information of the angle of the central axis. Therefore, the drilling characteristics of the drill bit can be determined through image acquisition and image analysis. The image acquisition process is less affected by environmental noise, so that the accuracy of the obtained drilling characteristics can be improved. Meanwhile, the image acquisition equipment is used for replacing a piezoelectric sensor, so that the cost can be reduced.

The application discloses a shale gas horizontal well rock drillability prediction method and relates to the technical field of shale gas horizontal wells. The application analyzes the influence law of mineral components, confining pressure, formation dip angle and acoustic time difference on reservoir rock drillability through rock drillability micro drilling experiments and mineral component analysis experiments, establishes a relationship between rock drillability grade value and each parameter, establishes a drillability grade value prediction model under the influence of multiple parameters, firstly, rock drillability experiments are carried out, the influence of mineral components, acoustic time difference, bottom hole confining pressure and formation dip angle on shale reservoir drillability is analyzed, and a relationship between rock drillability grade value and each parameter is established, and secondly, a nonlinear fusion model of drillability grade value and multiple parameters is established based on the least square method and by using matlab programming, so that better drillability prediction application is achieved.

The invention discloses a micro drilling speed classification method, system and equipment based on logging data and a medium, and relates to the technical field of petroleum and natural gas drilling engineering. The method comprises the following steps: constructing a drilling parameter time sequence database on the basis of logging data; calculating the micro-drilling speed corresponding to each group of data, constructing a time-drilling parameter-micro-drilling speed matrix, and numbering each group of data in the matrix; dividing the matrix into a drilling sample and a non-drilling sample, and extracting a bit pressure-micro drilling speed sample in the drilling sample to form a bit pressure-micro drilling speed curve; segmenting the bit pressure-micro drilling speed sample to form a normal drilling sample and an abnormal drilling sample; and according to the number of the segmentation position, a drilling parameter acquisition time period corresponding to the normal drilling sample is obtained, and the micro drilling speed and the drilling parameters are unified to the same time dimension. According to the method, the drilling parameters and the micro-drilling speed can be quickly unified on the time dimension, the mapping relation between the drilling parameters and the micro-drilling speed is more accurately established, and a basis is provided for optimizing the drilling parameters.

The invention discloses a method for automatically recommending drilling parameters during fastest drilling based on a micro drilling speed sample, and belongs to the field of petroleum and natural gas exploration, and the method comprises the following steps: S1, obtaining a drilling sample of the same stratum under drilling of the same column as the micro drilling speed sample; s2, drawing a drilling parameter-micro drilling speed curve in combination with the micro drilling speed sample; s3, taking a part of which the local smoothness is smaller than the overall smoothness as a bit pressure analysis sample, and taking a part of which the local smoothness is greater than the overall smoothness as a jamming risk analysis sample; s4, searching a part of the bit pressure analysis sample with the bit pressure rising and the micro-drilling speed rising first and then being stable as a parameter recommendation sample, and taking the rest part as a drilling speed abnormal sample; and S5, selecting the maximum value of the inlet flow as the recommended inlet flow, selecting the maximum value of the rotating speed as the recommended rotating speed, and selecting the minimum value of the bit pressure as the recommended bit pressure. According to the method, the main control factors influencing the drilling speed in the drilling process are recognized based on the micro drilling speed sample, and the drilling speed increasing effect can be achieved.