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CN-115718992-B - Method, device, equipment and storage medium for automatically acquiring rock mechanical parameters

CN115718992BCN 115718992 BCN115718992 BCN 115718992BCN-115718992-B

Abstract

The method comprises the steps of reading stress strain data obtained based on a rock uniaxial compression experiment, carrying out data interpolation on the stress strain data to form a stress strain curve, dynamically extending to two ends of the stress strain curve by taking a target point on the stress strain curve as a starting point until the fitting goodness of a regression line formed by current extension is lower than a set threshold value, segmenting the stress strain curve by taking a stress peak point and a strain peak point on the stress strain curve and an end point of the regression line as segmentation points, calling a first rock mechanical parameter calculation module to process the stress strain curve to obtain first rock mechanical parameters, calling a second rock mechanical parameter calculation module to process the segmented stress strain curve to obtain second rock mechanical parameters, and merging the two types and outputting the two types. The method and the device can improve the acquisition efficiency and accuracy of rock mechanical parameters.

Inventors

  • CHEN DONG
  • Xie Haomin
  • HOU CHANGMING
  • ZHANG GUANGLIN
  • MA ZICHAO
  • YE ZHIHUI

Assignees

  • 中国石油大学(北京)

Dates

Publication Date
20260505
Application Date
20221124

Claims (8)

  1. 1. The automatic acquisition method of the rock mechanical parameters is characterized by comprising the following steps: reading stress strain data obtained based on a rock uniaxial compression experiment; performing data interpolation on the stress-strain data to form a stress-strain curve; Taking a target point on the stress-strain curve as a starting point, dynamically extending to two ends of the stress-strain curve until the fitting goodness of a regression line formed by the current extension is lower than a set threshold value; Taking a stress peak point and a strain peak point on the stress strain curve and an endpoint of a regression line which is formed based on the dynamic extension and has a fitting goodness lower than a set threshold value as segmentation points, and segmenting the stress strain curve; Calling a first rock mechanical parameter calculation module to process the stress-strain curve to obtain a first rock mechanical parameter, and calling a second rock mechanical parameter calculation module to process the segmented stress-strain curve to obtain a second rock mechanical parameter; Combining the first rock mechanical parameters and the second rock mechanical parameters into a rock mechanical parameter list and outputting the rock mechanical parameter list; the step of calling the first rock mechanical parameter calculation module to process the stress-strain curve comprises the following steps: invoking a first calculation formula in a first rock mechanics parameter calculation module Calculating an initial modulus; Invoking a second calculation formula in the first rock mechanics parameter calculation module Calculating the secant modulus; Invoking a third calculation formula in the first rock mechanics parameter calculation module Calculating Poisson's ratio, and Taking the stress peak point on the stress strain curve as uniaxial compressive strength; Wherein, the For the initial modulus of the material to be a high modulus, For a 5% stress peak point on the stress-strain curve, For a 5% strain peak point on the stress-strain curve, For the secant modulus, Is a 50% stress peak point on the stress-strain curve, For a 50% strain peak on the stress-strain curve, In the form of a poisson's ratio, And The stress strain curves correspond to 50% radial strain peak points and 50% axial strain peak points; the step of calling the second rock mechanical parameter calculation module to process the segmented stress-strain curve comprises the following steps: And performing least square fitting on the elastic deformation stage in the segmented stress-strain curve, and taking the slope of the straight line obtained by fitting as the tangential modulus.
  2. 2. The method of claim 1, wherein the target point is a 50% stress peak point on the stress-strain curve.
  3. 3. The method for automatically acquiring rock mechanical parameters according to claim 1, wherein the step of dynamically extending a regression line toward both ends of the stress-strain curve comprises: and synchronously and dynamically extending to the two ends of the stress-strain curve according to the set extending step length.
  4. 4. The method of claim 1, wherein segmenting the stress-strain curve with the stress peak point, the strain peak point on the stress-strain curve, and the end point of the regression line based on the dynamic extension forming the regression line with the goodness of fit lower than the set threshold as the segmentation points comprises: setting the strain value in the stress-strain curve to be 0-0% Is determined as the compaction phase; Setting the strain value in the stress-strain curve at ~ Is determined as an elastic deformation stage; Setting the strain value in the stress-strain curve at ~ Is determined as a plastic deformation stage; Setting the strain value in the stress-strain curve at ~ Is determined as a post-peak disruption stage; Wherein, the And A lower strain limit and an upper strain limit corresponding to regression lines with goodness of fit lower than a set threshold value formed based on dynamic extension, As stress peak points on the stress-strain curve, Is the strain peak point on the stress-strain curve.
  5. 5. An automatic acquisition device for rock mechanical parameters, which is characterized by comprising: The reading module is used for reading stress strain data obtained based on a rock uniaxial compression experiment; The interpolation module is used for carrying out data interpolation on the stress-strain data so as to form a stress-strain curve; The extension module is used for dynamically extending to the two ends of the stress-strain curve by taking the target point on the stress-strain curve as a starting point until the goodness of fit of a regression line formed by the current extension is lower than a set threshold value; The segmentation module is used for segmenting the stress-strain curve by taking a stress peak point and a strain peak point on the stress-strain curve and an endpoint of a regression line which is formed based on the dynamic extension and has a fitting goodness lower than a set threshold value as segmentation points; the calling module is used for calling the first rock mechanical parameter calculation module to process the stress-strain curve to obtain first rock mechanical parameters, and calling the second rock mechanical parameter calculation module to process the segmented stress-strain curve to obtain second rock mechanical parameters; The output module is used for combining the first rock mechanical parameters and the second rock mechanical parameters into a rock mechanical parameter list and outputting the rock mechanical parameter list; the step of calling the first rock mechanical parameter calculation module to process the stress-strain curve comprises the following steps: invoking a first calculation formula in a first rock mechanics parameter calculation module Calculating an initial modulus; Invoking a second calculation formula in the first rock mechanics parameter calculation module Calculating the secant modulus; Invoking a third calculation formula in the first rock mechanics parameter calculation module Calculating Poisson's ratio, and Taking the stress peak point on the stress strain curve as uniaxial compressive strength; Wherein, the For the initial modulus of the material to be a high modulus, For a 5% stress peak point on the stress-strain curve, For a 5% strain peak point on the stress-strain curve, For the secant modulus, Is a 50% stress peak point on the stress-strain curve, For a 50% strain peak on the stress-strain curve, In the form of a poisson's ratio, And The stress strain curves correspond to 50% radial strain peak points and 50% axial strain peak points; the step of calling the second rock mechanical parameter calculation module to process the segmented stress-strain curve comprises the following steps: And performing least square fitting on the elastic deformation stage in the segmented stress-strain curve, and taking the slope of the straight line obtained by fitting as the tangential modulus.
  6. 6. A computer device comprising a memory, a processor, and a computer program stored on the memory, characterized in that the computer program, when being executed by the processor, performs the instructions of the method according to any of claims 1-4.
  7. 7. A computer storage medium having stored thereon a computer program, which, when executed by a processor of a computer device, performs the instructions of the method according to any of claims 1-4.
  8. 8. A computer program product, characterized in that the computer program product comprises a computer program which, when being executed by a processor, executes instructions of the method according to any of claims 1-4.

Description

Method, device, equipment and storage medium for automatically acquiring rock mechanical parameters Technical Field The present disclosure relates to the field of oil and gas resource development technologies, and in particular, to a method, an apparatus, a device, and a storage medium for automatically acquiring rock mechanical parameters. Background In the field of petroleum engineering, rock mechanical parameters are key indexes for making drilling and completion and oil and gas field development schemes, the parameter values reflect the mechanical properties of underground reservoir rock, are basic data for carrying out calculation of ground stress and formation pressure, and provide effective basis for drill bit selection and drilling parameter optimization, and carrying out uniaxial compression experiments on field rock cores is an effective means for obtaining parameters such as uniaxial compression strength, initial modulus, tangential modulus, secant modulus, poisson ratio and the like of the rock. The core is one of the most precious data of oil and gas basic research, plays a role in the oil and gas drilling industry, and is the most direct way for technicians to know the characteristics of underground rock. At present, rock mechanical parameter values are obtained by adopting a rock core to carry out uniaxial compression experiment, stress-strain curve data are obtained by adopting manual experiment, experimental parameter results can be obtained by carrying out data processing, a lot of time is required to carry out data processing, and subjective differences of people in the data processing process can influence the obtained results of the rock mechanical parameters, so that the accuracy of the results is influenced, and certain influence can be caused on the establishment of a subsequent drilling scheme. Disclosure of Invention An object of the embodiments of the present disclosure is to provide a method, an apparatus, a device, and a storage medium for automatically acquiring rock mechanical parameters, so as to improve the efficiency and accuracy of acquiring rock mechanical parameters. In order to achieve the above object, in one aspect, an embodiment of the present disclosure provides a method for automatically acquiring a rock mechanical parameter, including: reading stress strain data obtained based on a rock uniaxial compression experiment; performing data interpolation on the stress-strain data to form a stress-strain curve; Taking a target point on the stress-strain curve as a starting point, dynamically extending to two ends of the stress-strain curve until the fitting goodness of a regression line formed by the current extension is lower than a set threshold value; Taking a stress peak point and a strain peak point on the stress strain curve and an endpoint of a regression line which is formed based on the dynamic extension and has a fitting goodness lower than a set threshold value as segmentation points, and segmenting the stress strain curve; Calling a first rock mechanical parameter calculation module to process the stress-strain curve to obtain a first rock mechanical parameter, and calling a second rock mechanical parameter calculation module to process the segmented stress-strain curve to obtain a second rock mechanical parameter; and combining the first rock mechanical parameters and the second rock mechanical parameters into a rock mechanical parameter list and outputting the rock mechanical parameter list. According to the rock mechanical parameter automatic acquisition method, the target point is a 50% stress peak point on the stress-strain curve. The method for automatically acquiring the rock mechanical parameters in the embodiment of the present specification dynamically extends a regression line to two ends of the stress-strain curve, including: and synchronously and dynamically extending to the two ends of the stress-strain curve according to the set extending step length. According to the rock mechanical parameter automatic acquisition method of the embodiment of the specification, the stress peak point and the strain peak point on the stress-strain curve and the end point of the regression line which is formed based on the dynamic extension and has the fitting goodness lower than the set threshold are taken as the segmentation points, so that the stress-strain curve is segmented, and the method comprises the following steps: determining a part of the stress-strain curve, the strain value of which is 0~e 1, as a compacting stage; Determining the part of the stress-strain curve, the strain value of which is at e 1~e2, as an elastic deformation stage; determining a part of the stress-strain curve, the strain value of which is at e 2~e3, as a plastic deformation stage; Determining a part of the stress-strain curve, the strain value of which is at e 3~e4, as a post-peak damage stage; Wherein e 1 and e 2 correspond to the lower and upper strain limits of the regression