Quantitative evaluation method and device for influence of corrosion effect on sedimentary rock elasticity

Abstract

The invention relates to the field of oil-gas exploration and development and petrophysics, and discloses quantitative evaluation of influence of corrosion on sedimentary rock elasticity. The method comprises the following steps: determining mineral components of a carbonate rock sample of a target layer, the content of each mineral component, a first pore characteristic and a first elastic parameter; determining corrosion environment parameters according to the sedimentary environment, the underground fluid condition and the burial history of the area where the carbonate rock sample is located, and performing corrosion simulation treatment on the carbonate rock sample according to the corrosion environment parameters; re-determining a second pore characteristic and a second elastic parameter of the carbonate rock sample; establishing a quantitative evaluation model according to the mineral components, the content of each mineral component, the first pore characteristics, the first elastic parameters, the second pore characteristics and the second elastic parameters, and evaluating the influence of the corrosion effect on the elasticity of the carbonate rock according to the quantitative evaluation model. And the seismic reservoir prediction precision can be improved.

Description

Technical Field

[0001] The present application relates to the field of oil and gas exploration and development and rock physics technology, and in particular to a quantitative evaluation method, device, storage medium and electronic equipment for the effect of dissolution on the elasticity of sedimentary rocks. Background Art

[0002] The purpose of the background technology description provided here is to give an overall background of the present application. The statements in this section merely provide background related to the present application and do not necessarily constitute prior art.

[0003] In recent years, with the continuous advancement of exploration technology, the exploration of carbonate oil and gas has gradually advanced to deeper layers. For example, many deep and large gas fields such as Tahe, Puguang, Yuanba, Anyue, and Shaanzhong have been discovered in the Tarim, Sichuan and Ordos basins.

[0004] However, due to the deep burial and age of my country's carbonate rocks, as well as the long-term effects of high temperature and high pressure, diagenesis and cementation, there are few primary pores left, and the developed secondary pores, cracks and caves have become important oil and gas storage spaces, and dissolution is the key to the formation of secondary pores.

[0005] At present, in the study of carbonate reservoirs, existing scholars have carried out a lot of research work in petrology and reservoir performance evaluation. For example, some scholars believe that structural-pressure coupling controls fractures and dissolution, and fluid-rock interaction controls deep dissolution and pore retention; some scholars point out that the quasi-contemporaneous atmospheric carbon-water leaching dissolution is a necessary condition for the formation of large-scale high-quality reservoirs. For the research literature on dissolution, experimental research on carbonate burial dissolution temperature window and pore evolution pattern was carried out using high-temperature and high-pressure dissolution kinetics simulation experimental equipment, mainly focusing on the secondary pore formation and mechanism of the dissolution process.

[0006] After dissolution and diagenesis, secondary pores in carbonate rocks develop and the pore network structure is complex, which seriously affects the elastic properties of carbonate reservoirs. The rock velocity-porosity relationship shows strong dispersion. In the existing technology for studying the effect of dissolution on the elastic properties of rocks, a large number of rock samples are collected to study the velocity change law of the dissolution process. For example, some scholars collected multiple core samples from different regions and different times, measured the longitudinal and shear wave velocities in the laboratory, and analyzed the effect of dissolution on rock velocity; some scholars selected multiple dense limestone samples for ultrasonic velocity measurement to analyze the effect of pore structure on the elastic characteristics of the rock skeleton and fluid sensitivity.

[0007] Existing technologies all analyze the pore structure of natural rock samples, and combine them with elastic parameter test data to analyze and study the influence of different pore structures on elastic parameters. Since carbonate pore-fracture reservoirs are very complex and there are few cores drilled from deep layers, it is very difficult to collect natural samples with different rock structures and pore structures. Because the rock skeleton characteristics of stratigraphic samples from different regions and different eras vary greatly, it is difficult to obtain a systematic and quantitative evaluation of the influence of pore structures with different dissolution effects and dissolution degrees on the elastic properties of rocks. For deep oil and gas exploration, especially deep carbonate oil and gas reservoirs, epigenetic dissolution-dissolution and filtration and deep burial-hydrothermal transformation are key geological conditions for the large-scale development of carbonate reservoirs.

[0008] It can be seen from this that developing a quantitative evaluation method for the effect of simulated dissolution of natural rocks on the elastic properties of carbonate rocks is one of the problems that need to be solved urgently in this field. Summary of the invention

[0009] In response to the above problems, the present application proposes a quantitative evaluation method, device, storage medium and electronic device for the effect of dissolution on the elasticity of sedimentary rocks. The quantitative evaluation method for the effect of dissolution on the elastic properties of carbonate rocks disclosed in the present application controls the degree of transformation of carbonate reservoir pores and fractures by dissolution by simulating different solution media, temperature, pressure and dissolution time, quantitatively analyzes the influence mechanism of dissolution pores and fractures on the rock skeleton and its elastic parameters, adopts different dissolution pore and fracture reservoir rock physics models based on different response mechanisms of the reservoir, evaluates the seismic attribute response of pore and fracture carbonate reservoirs, and helps to improve the accuracy of seismic reservoir prediction.

[0010] In a first aspect of the present application, a method for quantitatively evaluating the effect of dissolution on the elasticity of sedimentary rocks is provided, the method comprising:

[0011] Determine the mineral components, the content of each mineral component, the first pore characteristic and the first elastic parameter of the carbonate rock sample of the target layer; wherein the pore characteristic includes porosity and pore aspect ratio, and the elastic parameter includes longitudinal wave velocity and shear wave velocity;

[0012] Determine the dissolution environment parameters according to the sedimentary environment, underground fluid conditions and burial history of the carbonate rock sample, and perform dissolution simulation treatment on the carbonate rock sample according to the dissolution environment parameters;

[0013] re-determining a second pore characteristic and a second elastic parameter of the carbonate rock sample;

[0014] A quantitative evaluation model is established based on the mineral components, the contents of each mineral component, the first pore characteristic, the first elastic parameter, the second pore characteristic and the second elastic parameter, and the effect of dissolution on the elasticity of carbonate rock is evaluated based on the quantitative evaluation model.

[0015] Further, the re-determining the second pore characteristic and the second elastic parameter of the carbonate rock sample includes:

[0016] The carbonate rock sample is subjected to multiple dissolution simulation processes in succession according to the dissolution environment parameters to obtain multiple second pore characteristics and second elastic parameter data with different dissolution degrees.

[0017] Furthermore, the dissolution environment parameters include:

[0018] dissolution temperature, dissolution pressure, dissolution reaction solution, solubility of the dissolution reaction solution and dissolution treatment time; wherein,

[0019] In the case where the carbonate rock sample is in the process of organic acid dissolution in a deep formation, the dissolution reaction solution includes an acetic acid dissolution solution;

[0020] When the carbonate rock sample is in the state of weathering, leaching and dissolution near the surface, the dissolution reaction solution includes a carbonate dissolution solution.

[0021] Furthermore, the establishing of a quantitative evaluation model according to the mineral components, the content of each mineral component, the first pore characteristic, the first elastic parameter, the second pore characteristic and the second elastic parameter comprises:

[0022] Establishing a relationship between porosity and pressure according to the first pore characteristic, the first elastic parameter, the second pore characteristic and the second elastic parameter, and determining a fitting coefficient of the relationship between porosity and pressure;

[0023] A quantitative evaluation model is established based on the mineral components, the content of each mineral component and the relationship between the porosity and pressure.

[0024] Furthermore, the relationship between porosity and pressure includes:

[0025]

[0026] in, is the porosity, P is the pressure, is the porosity at normal pressure, and b is the fitting coefficient.

[0027] Furthermore, the quantitative evaluation model includes:

[0028]

[0029]

[0030] Where K is the bulk modulus, μ is the shear modulus, P is the formation pressure, and γ is the pore aspect ratio. is the porosity, C1 is a constant, and a is a constant coefficient;

[0031] is the critical porosity of rock;

[0032] is the equivalent bulk modulus of the mineral component, f i is the volume proportion of the i-th mineral component in the rock, K i is the bulk modulus of the i-th mineral component in the rock;

[0033]

[0034] μ i is the shear modulus of the ith mineral component in the rock.

[0035] Furthermore, the quantitative evaluation model also includes:

[0036]

[0037]

[0038] Among them, V p is the formation P-wave velocity, V s is the formation shear wave velocity, ρ is the density of the carbonate rock sample, and C2 is a constant.

[0039] The second aspect of the present application provides a quantitative evaluation device for the effect of dissolution on the elasticity of sedimentary rocks, the device comprising:

[0040] A first determination module is used to determine the mineral components, the content of each mineral component, a first pore characteristic and a first elastic parameter of the carbonate rock sample of the target layer; wherein the pore characteristic includes porosity and pore aspect ratio, and the elastic parameter includes longitudinal wave velocity and transverse wave velocity;

[0041] A dissolution simulation processing module is used to determine the dissolution environment parameters according to the deposition environment, underground fluid conditions and burial history of the carbonate rock sample area, and perform dissolution simulation processing on the carbonate rock sample according to the dissolution environment parameters;

[0042] A second determination module, used to re-determine a second pore characteristic and a second elastic parameter of the carbonate rock sample;

[0043] A quantitative evaluation model determination module is used to establish a quantitative evaluation model based on the mineral components, the content of each mineral component, the first pore characteristic, the first elastic parameter, the second pore characteristic and the second elastic parameter, and evaluate the impact of dissolution on the elasticity of carbonate rock based on the quantitative evaluation model.

[0044] According to a third aspect of the present application, a computer-readable storage medium is provided, wherein a computer program stored in the computer-readable storage medium can be executed by one or more processors to implement the steps of the method described above.

[0045] The fourth aspect of the present application provides an electronic device, including a memory and one or more processors, wherein the memory stores a computer program, the memory and the one or more processors are communicatively connected to each other, and when the computer program is executed by the one or more processors, the steps of the method described above are implemented.

[0046] Compared with the prior art, the advantages or beneficial effects of the technical solution of the present application include:

[0047] The quantitative evaluation of the effect of dissolution on the elasticity of sedimentary rocks disclosed in the present application controls the degree of transformation of carbonate reservoirs by dissolution by simulating different solution media, temperature, pressure and dissolution time, obtains the relationship between porosity and pressure, quantitatively analyzes the influence mechanism of dissolution pores and fractures on the rock skeleton and its elastic parameters, establishes a quantitative evaluation model for carbonate elastic parameters and dissolution pore and fracture characteristic parameters, evaluates the seismic attribute response of pore and fracture carbonate reservoirs, and helps to improve the accuracy of seismic reservoir prediction. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are merely embodiments of the present application. For ordinary technicians in the relevant field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0049] It should also be noted that, for the convenience of description, only the parts related to the present disclosure are shown in the drawings. The drawings constituting a part of the specification of this application are used to provide a further understanding of the present application. The illustrative embodiments and their descriptions in this application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0050] Figure 1 A flowchart of a quantitative evaluation method for the effect of dissolution on the elasticity of sedimentary rocks provided in an embodiment of the present application;

[0051] Figure 2A flow chart of another quantitative evaluation method for the effect of dissolution on the elasticity of sedimentary rocks provided in an embodiment of the present application;

[0052] Figure 3 A CT scan of the interior of a sample before and after sample dissolution provided in an embodiment of the present application;

[0053] Figure 4 A statistical schematic diagram of the pore aspect ratio of a sample before dissolution provided in an embodiment of the present application;

[0054] Figure 5 A statistical schematic diagram of the pore aspect ratio of a sample after dissolution provided in an embodiment of the present application;

[0055] Figure 6 A schematic diagram of changes in longitudinal wave velocity and shear wave velocity of a sample before and after dissolution as a function of pressure provided in an embodiment of the present application;

[0056] Figure 7 A schematic diagram of the change of longitudinal wave velocity and shear wave velocity of another sample before and after dissolution with pressure provided in an embodiment of the present application;

[0057] Figure 8 A schematic diagram of the structure of a device provided in an embodiment of the present application;

[0058] Fig. 9 A connection block diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0059] The following will describe the implementation methods of the present application in detail with reference to the accompanying drawings and embodiments, so that the implementation process of how the present application applies technical means to solve technical problems and achieve corresponding technical effects can be fully understood and implemented accordingly. The embodiments of the present application and the various features in the embodiments can be combined with each other without conflict, and the technical solutions formed are all within the protection scope of the present application.

[0060] It should be clear that the embodiments described below are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by technicians in the relevant field without making creative work are within the scope of protection of the present application.

[0061] As can be seen from the background technology, in recent years, with the continuous advancement of exploration technology, the exploration of carbonate oil and gas has gradually advanced to deeper layers. For example, many deep and large gas fields such as Tahe, Puguang, Yuanba, Anyue, and Shaanzhong have been discovered in the Tarim, Sichuan and Ordos basins.

[0062] However, due to the deep burial and age of my country's carbonate rocks, as well as the long-term effects of high temperature and high pressure, diagenesis and cementation, there are few primary pores left, and the developed secondary pores, cracks and caves have become important oil and gas storage spaces, and dissolution is the key to the formation of secondary pores.

[0063] At present, in the study of carbonate reservoirs, existing scholars have carried out a lot of research work in petrology and reservoir performance evaluation. For example, some scholars believe that structural-pressure coupling controls fractures and dissolution, and fluid-rock interaction controls deep dissolution and pore retention; some scholars point out that the quasi-contemporaneous atmospheric carbon-water leaching dissolution is a necessary condition for the formation of large-scale high-quality reservoirs. For the research literature on dissolution, experimental research on carbonate burial dissolution temperature window and pore evolution pattern was carried out using high-temperature and high-pressure dissolution kinetics simulation experimental equipment, mainly focusing on the secondary pore formation and mechanism of the dissolution process.

[0064] After dissolution and diagenesis, secondary pores in carbonate rocks develop and the pore network structure is complex, which seriously affects the elastic properties of carbonate reservoirs. The rock velocity-porosity relationship shows strong dispersion. In the existing technology for studying the effect of dissolution on the elastic properties of rocks, a large number of rock samples are collected to study the velocity change law of the dissolution process. For example, some scholars collected multiple core samples from different regions and different times, measured the longitudinal and shear wave velocities in the laboratory, and analyzed the effect of dissolution on rock velocity; some scholars selected multiple dense limestone samples for ultrasonic velocity measurement to analyze the effect of pore structure on the elastic characteristics of the rock skeleton and fluid sensitivity.

[0065] Existing technologies all analyze the pore structure of natural rock samples, and combine them with elastic parameter test data to analyze and study the influence of different pore structures on elastic parameters. Since carbonate pore-fracture reservoirs are very complex and there are few cores drilled from deep layers, it is very difficult to collect natural samples with different rock structures and pore structures. Because the rock skeleton characteristics of stratigraphic samples from different regions and different eras vary greatly, it is difficult to obtain a systematic and quantitative evaluation of the influence of pore structures with different dissolution effects and dissolution degrees on the elastic properties of rocks. For deep oil and gas exploration, especially deep carbonate oil and gas reservoirs, epigenetic dissolution-dissolution and filtration and deep burial-hydrothermal transformation are key geological conditions for the large-scale development of carbonate reservoirs.

[0066] In view of this, the present application proposes a quantitative evaluation of the effect of dissolution on the elasticity of sedimentary rocks. The quantitative evaluation method of the effect of dissolution on the elastic properties of carbonate rocks disclosed in the present application controls the degree of transformation of pores and fractures of carbonate reservoirs by dissolution by simulating different solution media, temperature, pressure and dissolution time, quantitatively analyzes the influence mechanism of dissolution pores and fractures on the rock skeleton and its elastic parameters, adopts different dissolution pore-fracture reservoir rock physics models based on different response mechanisms of the reservoir, evaluates the seismic attribute response of pore-fracture carbonate reservoirs, and helps to improve the accuracy of seismic reservoir prediction.

[0067] Embodiment 1

[0068] This embodiment provides a quantitative evaluation method for the effect of dissolution on the elasticity of sedimentary rocks. Figure 1 A flowchart of a quantitative evaluation method for the effect of dissolution on the elasticity of sedimentary rocks provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the method disclosed in this embodiment includes the following steps:

[0069] Step 110, determining the mineral components, the content of each mineral component, the first pore characteristic and the first elastic parameter of the carbonate rock sample of the target layer; wherein the pore characteristic includes porosity and pore aspect ratio, and the elastic parameter includes longitudinal wave velocity and shear wave velocity;

[0070] Step 120, determining the dissolution environment parameters according to the deposition environment, underground fluid conditions and burial history of the carbonate rock sample, and performing dissolution simulation processing on the carbonate rock sample according to the dissolution environment parameters;

[0071] Step 130, re-determining the second pore characteristic and the second elastic parameter of the carbonate rock sample;

[0072] Step 140: Establish a quantitative evaluation model based on the mineral components, the contents of each mineral component, the first pore characteristic, the first elastic parameter, the second pore characteristic and the second elastic parameter, and evaluate the effect of dissolution on the elasticity of carbonate rock based on the quantitative evaluation model.

[0073] In some embodiments, the corrosion environment parameters include:

[0074] dissolution temperature, dissolution pressure, dissolution reaction solution, solubility of the dissolution reaction solution and dissolution treatment time; wherein,

[0075] In the case where the carbonate rock sample is in the process of organic acid dissolution in a deep formation, the dissolution reaction solution includes an acetic acid dissolution solution;

[0076] When the carbonate rock sample is in the state of weathering, leaching and dissolution near the surface, the dissolution reaction solution includes a carbonate dissolution solution.

[0077] As an example, when determining the dissolution treatment conditions, the dissolution environmental parameters can be determined based on the sedimentary environment, underground fluid conditions, and burial history of the sample area. The dissolution environmental parameters include temperature, pressure, dissolution reaction solution (medium) and solubility, and experimental time.

[0078] Among them, if the deep formation is in contact with the source rock layer, it is mainly corroded by organic acids, and acetic acid dissolution solution is used;

[0079] If the main erosion is near-surface weathering, leaching and dissolution, use carbonate dissolution solution.

[0080] In some embodiments, re-determining the second pore characteristic and the second elastic parameter of the carbonate rock sample comprises:

[0081] The carbonate rock sample is subjected to multiple dissolution simulation processes in succession according to the dissolution environment parameters to obtain multiple second pore characteristics and second elastic parameter data with different dissolution degrees.

[0082] As an example, a high temperature and high pressure dissolution simulation experiment can be carried out on the carbonate rock samples mentioned above by means of a dissolution simulation device. After the experiment, the samples are taken out and dried after dissolution. Multiple dissolutions can also be carried out to obtain reservoir characteristics and elastic characteristics of different dissolution degrees.

[0083] In some embodiments, establishing a quantitative evaluation model according to the mineral components, the contents of the mineral components, the first pore characteristics, the first elastic parameter, the second pore characteristics and the second elastic parameter comprises:

[0084] Establishing a relationship between porosity and pressure according to the first pore characteristic, the first elastic parameter, the second pore characteristic and the second elastic parameter, and determining a fitting coefficient of the relationship between porosity and pressure;

[0085] A quantitative evaluation model is established based on the mineral components, the content of each mineral component and the relationship between the porosity and pressure.

[0086] In some embodiments, the relationship between porosity and pressure includes:

[0087]

[0088] in, is the porosity; P is the pressure, unit is MPa; is the porosity at normal pressure; b is the fitting coefficient, which is obtained from the experimental data.

[0089] In some embodiments, the quantitative evaluation model includes:

[0090]

[0091]

[0092] Wherein, K is the bulk modulus, in GPa; μ is the shear modulus, in GPa; P is the formation pressure, in MPa; γ is the pore aspect ratio; is the porosity; C1 is a constant; a is a coefficient related to the fluid, Wherein, η is the fluid viscosity, unit is Pa.s;

[0093] is the critical porosity of rock;

[0094] is the equivalent bulk modulus of the mineral component (unit: GPa); f i is the volume proportion of the i-th mineral component in the rock; K i is the bulk modulus of the ith mineral component in the rock (in GPa);

[0095]

[0096] μ i is the shear modulus of the ith mineral component in the rock (unit: GPa).

[0097] In some embodiments, the quantitative evaluation model further includes:

[0098]

[0099]

[0100] Among them, V p V is the formation compressional wave velocity, in m / s; s is the formation shear wave velocity, in m / s; ρ is the density of the carbonate rock sample, in g / cm 3 ; C2 is a constant.

[0101] The quantitative evaluation method for the effect of dissolution on the elastic properties of carbonate rocks disclosed in the present application controls the degree of transformation of pores and fractures of carbonate reservoirs by dissolution by simulating different solution media, temperature, pressure and dissolution time, quantitatively analyzes the influence mechanism of dissolution pores and fractures on the rock skeleton and its elastic parameters, adopts different dissolution pore and fracture reservoir rock physics models based on the different response mechanisms of the reservoirs, evaluates the seismic attribute response of pore and fracture carbonate reservoirs, and helps to improve the accuracy of seismic reservoir prediction.

[0102] Embodiment 2

[0103] Based on the above-mentioned embodiments, this embodiment further explains and illustrates the quantitative evaluation method of the effect of dissolution on the elasticity of the sedimentary rock disclosed in the first embodiment. Figure 1 As shown, the method disclosed in this embodiment includes the following steps:

[0104] Step 110, determine the mineral components, the content of each mineral component, the first pore characteristics and the first elastic parameters of the carbonate rock sample of the target layer; wherein the pore characteristics include porosity and pore aspect ratio, and the elastic parameters include longitudinal wave velocity and shear wave velocity.

[0105] It should be noted that the carbonate rock in this embodiment includes limestone and dolomite.

[0106] In some embodiments, before determining the mineral components, the content of each mineral component, the first pore characteristic and the first elastic parameter of the carbonate rock sample of the target layer, the method further includes:

[0107] Select and prepare carbonate rock samples of the target layer.

[0108] As an example, first, select the target carbonate rock sample according to the experimental purpose; then, prepare the sample into a standard sample according to the physical property and elasticity analysis requirements. Among them, the porosity and elasticity tests require standard plunger samples: 25mm in diameter, about 2 times the diameter in length, both ends of the plunger sample are ground flat, the end face is perpendicular to the cylinder and has no damage, and is dried. Thin section analysis is prepared into thin sections.

[0109] As an example, when determining the mineral components, the content of each mineral component, the first pore characteristic and the first elastic parameter of a carbonate rock sample of a target layer, the following method may be adopted:

[0110] (1) Determine the mineral composition and content of the sample using XRD or other methods; use X-ray powder diffraction to identify the phase and quantitatively calculate the content of each mineral component;

[0111] (2) Using CT scanning or scanning electron microscopy to obtain the pore aspect ratio characteristics of the sample before and after dissolution;

[0112] (3) Using the overburden porosity tester to obtain the porosity of the sample before dissolution;

[0113] (4) Ultrasonic testing instruments are used to obtain elastic parameters such as longitudinal wave velocity and transverse wave velocity under formation temperature and pressure conditions.

[0114] It should be noted that the thin section identification analysis, XRD diffraction mineral analysis, CT scanning, overburden porosity test, and ultrasonic elastic parameter test and analysis methods are all conventional test and analysis methods in this field. For example, the thin section identification analysis refers to "SY / T 5368-2016 Rock Thin Section Identification", the XRD diffraction mineral analysis refers to "SYT 5163-2018 Ray Diffraction Analysis Method for Clay Minerals and Common Non-Clay Minerals in Sedimentary Rocks", the overburden porosity and permeability test refers to "SY / T 6385-2016-Determination Method for Porosity and Permeability of Rocks under Overburden Pressure", and the ultrasonic elastic parameter test refers to "SY / T 6351-2012 Laboratory Measurement Specification for Acoustic Properties of Rock Samples".

[0115] Step 120: Determine the dissolution environment parameters according to the deposition environment, underground fluid conditions and burial history of the carbonate rock sample area, and perform dissolution simulation processing on the carbonate rock sample according to the dissolution environment parameters.

[0116] In some embodiments, the corrosion environment parameters include:

[0117] dissolution temperature, dissolution pressure, dissolution reaction solution, solubility of the dissolution reaction solution and dissolution treatment time; wherein,

[0118] In the case where the carbonate rock sample is in the process of organic acid dissolution in a deep formation, the dissolution reaction solution includes an acetic acid dissolution solution;

[0119] When the carbonate rock sample is in the state of weathering, leaching and dissolution near the surface, the dissolution reaction solution includes a carbonate dissolution solution.

[0120] As an example, when determining the dissolution treatment conditions, the dissolution environmental parameters can be determined based on the sedimentary environment, underground fluid conditions, and burial history of the sample area. The dissolution environmental parameters include temperature, pressure, dissolution reaction solution (medium) and solubility, and experimental time.

[0121] Among them, if the deep formation is in contact with the source rock layer, it is mainly corroded by organic acids, and acetic acid dissolution solution is used;

[0122] If the main erosion is near-surface weathering, leaching and dissolution, use carbonate dissolution solution.

[0123] As an example, a high-temperature and high-pressure dissolution simulation experiment can be carried out on the above-mentioned carbonate rock samples with the help of a dissolution simulation device. After the experiment, the samples are taken out and dried; and a CT scan is performed on the dissolved samples to obtain the pore characteristics of the samples, test the porosity, and test the elastic parameters such as the longitudinal wave velocity and shear wave velocity under the formation temperature and pressure conditions.

[0124] Step 130: Re-determine the second pore characteristics and the second elastic parameter of the carbonate rock sample.

[0125] As an example, a CT scan is performed on the dissolved sample to obtain the pore characteristics of the sample, test the porosity, and test the elastic parameters such as the longitudinal wave velocity and shear wave velocity under the formation temperature and pressure conditions.

[0126] In some embodiments, re-determining the second pore characteristic and the second elastic parameter of the carbonate rock sample comprises:

[0127] The carbonate rock sample is subjected to multiple dissolution simulation processes in succession according to the dissolution environment parameters to obtain multiple second pore characteristics and second elastic parameter data with different dissolution degrees.

[0128] Furthermore, step 120 may be repeated to perform multiple dissolution treatments on the carbonate rock sample, thereby obtaining reservoir characteristics and elastic characteristics with different dissolution degrees.

[0129] It should be noted that the aforementioned formation temperature and pressure conditions refer to the formation temperature and the static pressure of the overlying formation. The simulation experiment process can determine the formation temperature and the static pressure of the overlying formation according to the formation depth, the geothermal gradient of the study area, and the formation static pressure gradient.

[0130] Step 140: Establish a quantitative evaluation model based on the mineral components, the contents of each mineral component, the first pore characteristic, the first elastic parameter, the second pore characteristic and the second elastic parameter, and evaluate the effect of dissolution on the elasticity of carbonate rock based on the quantitative evaluation model.

[0131] In some embodiments, establishing a quantitative evaluation model according to the mineral components, the contents of the mineral components, the first pore characteristics, the first elastic parameter, the second pore characteristics and the second elastic parameter comprises:

[0132] Establishing a relationship between porosity and pressure according to the first pore characteristic, the first elastic parameter, the second pore characteristic and the second elastic parameter, and determining a fitting coefficient of the relationship between porosity and pressure;

[0133] A quantitative evaluation model is established based on the mineral components, the content of each mineral component and the relationship between the porosity and pressure.

[0134] As an example, the changes in reservoir characteristics and elastic characteristics before and after dissolution are quantitatively evaluated: the changes in parameters such as mineral composition, porosity, pore characteristics, P-wave velocity, S-wave velocity, and P-S wave velocity ratio in step 110 and step 120 are compared, the relationship between porosity and pressure is established, and the fitting coefficient is determined.

[0135] In some embodiments, the relationship between porosity and pressure includes:

[0136]

[0137] in, is the porosity; P is the pressure, unit is MPa; is the porosity at normal pressure; b is the fitting coefficient, which is obtained from the experimental data.

[0138] In some embodiments, the quantitative evaluation model includes:

[0139]

[0140]

[0141] Wherein, K is the bulk modulus, in GPa; μ is the shear modulus, in GPa; P is the formation pressure, in MPa; γ is the pore aspect ratio; is the porosity; C1 is a constant; a is a coefficient related to the fluid, Wherein, η is the fluid viscosity, unit is Pa.s;

[0142] is the critical porosity of rock;

[0143] is the equivalent bulk modulus of the mineral component, in GPa; f i is the volume proportion of the i-th mineral component in the rock; K i is the bulk modulus of the ith mineral component in the rock, in GPa;

[0144]

[0145] μ i is the shear modulus of the ith mineral component in the rock, in GPa.

[0146] Preferably, the value of C1 is 4 / 15.

[0147] It can be understood by those skilled in the art that fluid viscosity η is a physical parameter of the fluid contained in the rock and is a known quantity.

[0148] Furthermore, the quantitative evaluation model can also be converted into the following formation compressional wave velocity (V p ) and shear wave velocity (V s ):

[0149]

[0150]

[0151] Among them, V p V is the formation compressional wave velocity, in m / s; s is the formation shear wave velocity, in m / s; ρ is the density of the carbonate rock sample, in g / cm 3 ; C2 is a constant.

[0152] Preferably, the value of C2 is 4 / 3.

[0153] This embodiment controls the degree of transformation of carbonate reservoir pores and fractures by dissolution by simulating different solution media, temperature, pressure and dissolution time, quantitatively analyzes the influence mechanism of dissolution pores and fractures on rock skeleton and its elastic parameters, adopts different dissolution pore and fracture reservoir rock physics models based on different response mechanisms of reservoirs, evaluates the seismic attribute response of pore and fracture carbonate reservoirs, and helps to improve the accuracy of seismic reservoir prediction.

[0154] Embodiment 3

[0155] This embodiment is a specific example disclosed in this application.

[0156] At present, large oil and gas reservoirs have been discovered in deep carbonate rocks such as the Ordovician in the Tarim Basin, the Changxing Formation and the Dengying Formation in the Sichuan Basin. Although the primary pores are few and far between due to long-term high temperature and high pressure, diagenesis and cementation, the developed secondary pores, cracks and caves have become important oil and gas storage spaces, and dissolution is the key to the formation of secondary pores.

[0157] In this example, lithology samples from the Sichuan Basin were selected, and a dissolution simulation experiment was carried out to compare and analyze the changes in the reservoir performance and elastic properties of different types of rocks before and after dissolution.

[0158] Specifically, Figure 2 As shown, the method disclosed in this embodiment includes the following steps:

[0159] Step 1: First, based on the core observation description and combined with reservoir geological research, select different types of carbonate rock samples in the target layer.

[0160] The different types of carbonate rock samples include oolitic dolomite and micrite dolomite with well-developed oolitic pores, calcite dolomite and powder crystal dolomite with well-developed dissolved pores, cracked bright crystal limestone and micrite-powder crystal dolomite, etc., and the samples are mainly determined based on thin section identification. In this embodiment, two groups of dolomite samples are selected.

[0161] Then, according to the requirements of physical properties and elasticity analysis, the samples are prepared into standard samples. Among them, the porosity and elasticity tests require standard plunger samples: 25mm in diameter, about twice the length of the diameter, generally 40-50mm in length, both ends of the plunger sample are ground flat, the end face is perpendicular to the cylinder surface, without damage, and dried. Thin slice analysis is prepared into thin slices.

[0162] Step 2: Test the reservoir and elastic properties of the sample before dissolution, specifically:

[0163] (1) Use XRD or other methods to determine the mineral components and content of the sample; use X-ray powder diffraction to identify the phase and quantitatively calculate the content of each mineral component. The X-ray diffraction analysis data of the carbonate rock samples are shown in Table 1. From the structural point of view, the selected samples 1 and 2 are mainly composed of dolomite, accounting for 85.8% and 88.4% respectively, containing 11.1% and 4.0% quartz, 1.6% and 6.0% clay, and both contain 1.5% plagioclase and other minerals. Combined with thin section identification and analysis, the rock type is determined to be siliceous powder crystal dolomite and mud crystal dolomite.

[0164] (2) Use CT scanning or scanning electron microscopy to obtain the pore characteristics of the sample before dissolution. Among them, sample 1 has low porosity, mainly intergranular pores, and poor pore and fracture connectivity; sample 2 has developed dissolution pores, dissolution caves, larger pores, medium porosity, and good pore connectivity. Figure 3 Part a in Figure 1 shows a CT scan image of the interior of a dissolution test sample. The pore aspect ratio distribution characteristics of the sample are shown in Figure 2. Figure 4 As shown, the main pore aspect ratio is 0.01.

[0165] (3) The porosity and permeability of the samples before dissolution were obtained using a pressure-based porosity tester (see Table 1).

[0166] (4) Ultrasonic testing equipment is used to obtain the longitudinal wave velocity (V p ), shear wave velocity (V s ), longitudinal and transverse wave velocity ratio (V p / V s ) and other elastic parameters (see Table 3, Figure 6 and Figure 7 ,in, Figure 6 and Figure 7 The solid triangles in the figure are the Vp and Vs data of the first elastic parameters before dissolution).

[0167] Step 3: Determine the dissolution test conditions, specifically:

[0168] According to the sedimentary environment, underground fluid conditions and burial history of the sample area, the dissolution experimental environmental parameters are determined, including temperature, pressure, dissolution reaction solution (medium) and solubility, and experimental time.

[0169] Among them, the deep strata in this study area are in contact with the source rock layer and are mainly corroded by organic acids, so 1 ml / L acetic acid solution (pH = 4.002) was used. The temperature used in this experiment was 60°C, the pressure was in the range of 10 to 52 MPa, and the experimental time was 6 hours.

[0170] Step 4: Use a dissolution simulation device to conduct a high-temperature and high-pressure dissolution simulation experiment on the carbonate rock samples. After the experiment, take out the samples and place them for half a day to dry naturally, and then dry them in a dryer at a constant temperature of 110°C.

[0171] Step 5: Perform CT scanning on the dissolved samples to obtain the pore characteristics of the samples. From the CT images of the dissolved samples, it can be seen that the intergranular pores of sample 1 are generally dissolved and enlarged, resulting in certain cracks, and the overall pore aspect ratio of the sample is slightly reduced. The pores of sample 2 are dissolved and enlarged, and local particles are dissolved into pores (caves), evolving into pore-type ( Figure 3 The pore aspect ratio distribution characteristics are as follows: Figure 5 As shown in Figure 2, the main pore aspect ratio is 0.3. The overall pore aspect ratio of the sample before and after dissolution increases from 0.01 to about 0.3 (ref. Figure 4 , Figure 5 ). Test the porosity and permeability under the same temperature and pressure conditions as step 2 (see Table 2). Test the elastic parameters such as the longitudinal wave velocity and the shear wave velocity of the sample under the same formation temperature and pressure conditions as step 2 (refer to Figure 6 , Figure 7 ,in, Figure 6 and Figure 7 The hollow squares in the figure are the second elastic parameter data after dissolution).

[0172] Step 6, quantitative evaluation of changes in reservoir characteristics and elastic characteristics before and after the dissolution experiment: Comparing the changes in mineral composition, porosity, permeability and other parameters in Step 2 and Step 5 (Table 2), the dissolution of the reservoir porosity of the micrite dolomite increased by 1.76%, about 117% of the original, and the permeability increased to 220%, while the porosity of the dense pore type siliceous powder crystal dolomite increased by 0.71%, which is 120% of the original. The permeability was greatly modified, from the original 0.026 to 0.26, which is 10 times the original. The elastic parameters of the samples before and after the dissolution experiment are shown in Table 3.

[0173] Table 1 Mineral content, porosity and permeability test data before and after the dissolution experiment

[0174]

[0175] Table 2 Changes of porosity and permeability in dissolution experiments

[0176]

[0177] Table 3 Elastic parameters of samples before and after dissolution experiment

[0178]

[0179] Step 7: Quantitatively analyze the influence of dissolution pores and fractures on rock elastic parameters, and establish a quantitative evaluation model for carbonate rock elastic parameters and dissolution pore and fracture characteristic parameters.

[0180] According to the relationship between longitudinal and transverse wave velocity and pressure before and after dissolution, for sample 2: after the dissolution experiment, as the pressure increases, the velocity gradually decreases, the pores and cracks increase, and the velocity ratio approach line value is near 2, reflecting the characteristics of dolomite minerals in the rock skeleton; for sample 1: after dissolution, the velocity decreases, the pores and cracks increase, especially the cracks with small aspect ratios increase, and the saturated fluid velocity changes significantly with pressure. When describing the elastic properties of reservoir rocks, this characteristic of the change of formation velocity with pressure in different pore structures can be used to evaluate the relationship between the elastic parameters of carbonate rocks and the characteristic parameters of dissolution pores and cracks, analyze the propagation law of real deep underground seismic waves, and improve the accuracy of reservoir prediction and fluid identification in oil and gas seismic exploration and development.

[0181] This embodiment controls the degree of transformation of carbonate reservoirs by dissolution by simulating different solution media, temperature, pressure and dissolution time, and can study the influence of surface water, deep hydrothermal fluid and other dissolution effects on the skeleton, pore type, pore structure transformation and reservoir elastic properties of shallow and deep carbonate reservoirs, and analyze the mechanism. By using the porosity of the test sample before and after dissolution, the relationship between porosity and pressure is established, and the influence of dissolution pores and cracks on the rock skeleton and its elastic parameters is quantitatively analyzed, so as to more realistically describe the establishment of a rock physics model for dissolution pore and crack reservoirs, and evaluate the seismic attribute response of pore and crack carbonate reservoirs, which helps to improve the accuracy of seismic reservoir prediction.

[0182] Embodiment 4

[0183] This embodiment provides a quantitative evaluation device for the effect of dissolution on the elasticity of sedimentary rocks. This device embodiment can be used to execute the method embodiment of this application. For details not disclosed in this device embodiment, please refer to the method embodiment of this application. Figure 8 A schematic diagram of a structure of a device provided in an embodiment of the present application is shown in FIG. Figure 8 As shown, the device 800 disclosed in this embodiment includes:

[0184] The first determination module 801 is used to determine the mineral components, the content of each mineral component, the first pore characteristics and the first elastic parameters of the carbonate rock sample of the target layer; wherein the pore characteristics include porosity and pore aspect ratio, and the elastic parameters include longitudinal wave velocity and transverse wave velocity;

[0185] The dissolution simulation processing module 802 is used to determine the dissolution environment parameters according to the deposition environment, underground fluid conditions and burial history of the carbonate rock sample area, and perform dissolution simulation processing on the carbonate rock sample according to the dissolution environment parameters;

[0186] A second determination module 803, for re-determining a second pore characteristic and a second elastic parameter of the carbonate rock sample;

[0187] The quantitative evaluation model determination module 804 is used to establish a quantitative evaluation model based on the mineral components, the content of each mineral component, the first pore characteristic, the first elastic parameter, the second pore characteristic and the second elastic parameter, and evaluate the effect of dissolution on the elasticity of carbonate rock based on the quantitative evaluation model.

[0188] In some embodiments, the second determination module 803 is used to perform multiple dissolution simulation processes on the carbonate rock sample according to the dissolution environment parameters to obtain multiple second pore characteristics and second elastic parameter data with different dissolution degrees.

[0189] In some embodiments, the corrosion environment parameters include:

[0190] dissolution temperature, dissolution pressure, dissolution reaction solution, solubility of the dissolution reaction solution and dissolution treatment time; wherein,

[0191] In the case where the carbonate rock sample is in the process of organic acid dissolution in a deep formation, the dissolution reaction solution includes an acetic acid dissolution solution;

[0192] When the carbonate rock sample is in the state of weathering, leaching and dissolution near the surface, the dissolution reaction solution includes a carbonate dissolution solution.

[0193] In some embodiments, the quantitative evaluation model determination module 804 includes: a determination unit and an establishment unit; wherein:

[0194] a determining unit, configured to establish a relationship between porosity and pressure according to the first pore characteristic, the first elastic parameter, the second pore characteristic, and the second elastic parameter, and determine a fitting coefficient of the relationship between the porosity and pressure;

[0195] A unit is established for establishing a quantitative evaluation model according to the mineral components, the content of each mineral component and the relationship between the porosity and pressure.

[0196] In some embodiments, the relationship between porosity and pressure includes:

[0197]

[0198] in, is the porosity; P is the pressure, unit is MPa; is the porosity at normal pressure; b is the fitting coefficient, which is obtained from the experimental data.

[0199] In some embodiments, the quantitative evaluation model includes:

[0200]

[0201]

[0202] Wherein, K is the bulk modulus, in GPa; μ is the shear modulus, in GPa; P is the formation pressure, in MPa; γ is the pore aspect ratio; is the porosity; C1 is a constant; a is a coefficient related to the fluid, Where η is the fluid viscosity, in Pa.s;

[0203] is the critical porosity of rock;

[0204] is the equivalent bulk modulus of the mineral component, in GPa; f i is the volume proportion of the i-th mineral component in the rock; K i is the bulk modulus of the ith mineral component in the rock, in GPa;

[0205]

[0206] μ i is the shear modulus of the ith mineral component in the rock, in GPa.

[0207] In some embodiments, the quantitative evaluation model further includes:

[0208]

[0209]

[0210] Among them, V p V is the formation compressional wave velocity, in m / s; s is the formation shear wave velocity, in m / s; ρ is the density of the carbonate rock sample, in g / cm 3 ; C2 is a constant.

[0211] It can be understood by those skilled in the art that Figure 8 The structure shown in the figure does not constitute a limitation on the device of the embodiment of the present application, and may include more or fewer modules / units than shown in the figure, or a combination of certain modules / units, or different module / unit arrangements.

[0212] It should be understood by those skilled in the art that the above modules or steps of the present application can be implemented by a general-purpose computing device, and they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices. Optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation.

[0213] Technicians in the relevant field can clearly understand that, for the convenience and simplicity of description, the specific working process of each module of the device for quantitatively evaluating the influence of dissolution on the elasticity of sedimentary rocks can refer to the corresponding process in the aforementioned method embodiment, and this embodiment will not be repeated here.

[0214] Embodiment 5

[0215] This embodiment provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method in the above method embodiment can be implemented.

[0216] Among them, the computer-readable storage medium may also include computer programs, data files, data structures, etc. alone, or include a combination thereof. The computer-readable storage medium or computer program may be specifically designed and understood by a technician in the field of computer software, or the computer-readable storage medium may be known and available to a technician in the field of computer software. Examples of computer-readable storage media include: magnetic media, such as hard disks, floppy disks, and tapes; optical media, such as CDROM disks and DVDs; magneto-optical media, such as optical disks; and hardware devices, specifically configured to store and execute computer programs, such as read-only memory (ROM), random access memory (RAM), flash memory; or servers, app application stores, etc. Examples of computer programs include machine code (e.g., code generated by a compiler) and files containing high-level code, which can be executed by a computer using an interpreter. The described hardware device may be configured to be used as one or more software modules to perform the operations and methods described above, and vice versa. In addition, the computer-readable storage medium may be distributed in a networked computer system, and program code or computer programs may be stored and executed in a decentralized manner.

[0217] Embodiment 6

[0218] This embodiment provides a computer program product. The computer program product includes a computer program or instructions, and when the computer program or instructions are executed by a processor, all or part of the steps of the method in the above method embodiment are implemented, and this embodiment will not be repeated here.

[0219] Further, the computer program product may include one or more computer executable components configured to perform the embodiments when the program is run; the computer program product may also include a computer program tangibly contained on a readable medium, the computer program including program code for performing any method in the embodiments of the present disclosure. In such an embodiment, the computer program may be downloaded and installed from a network through a communication portion, and / or installed from a removable medium.

[0220] Embodiment 7

[0221] This embodiment provides an electronic device. Fig. 9 A connection block diagram of an electronic device provided in an embodiment of the present application, such as Fig. 9 As shown, the electronic device 900 may include: one or more processors 901 , a memory 902 , a multimedia component 903 , an input / output (I / O) interface 904 , and a communication component 905 .

[0222] The one or more processors 901 are used to execute all or part of the steps in the above method embodiment. The memory 902 is used to store various types of data, which may include instructions of any application or method in the electronic device, and data related to the application.

[0223] The memory 902 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, disk or optical disk.

[0224] One or more processors 901 can be an application specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a controller, a microcontroller, a microprocessor or other electronic components, and are used to execute all or part of the steps in the aforementioned method embodiments.

[0225] The multimedia component 903 may include a screen and an audio component, the screen may be a touch screen, and the audio component is used to output and / or input an audio signal. For example, the audio component may include a microphone, and the microphone is used to receive an external audio signal. The received audio signal may be further stored in a memory or sent via a communication component. The audio component also includes at least one speaker for outputting an audio signal.

[0226] The I / O interface 904 provides an interface between one or more processors 901 and other interface modules, which may be a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons.

[0227] The communication component 905 is used for wired or wireless communication between the electronic device 900 and other devices. Wired communication includes communication through a network port, a serial port, etc.; wireless communication includes: Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, 5G, or a combination of one or more of them.

[0228] In summary, the present application provides a quantitative evaluation method, device, computer-readable storage medium, and electronic device for the effect of dissolution on the elasticity of sedimentary rocks. The quantitative evaluation method for the effect of dissolution on the elastic properties of carbonate rocks disclosed in the present application controls the degree of transformation of pores and fractures of carbonate reservoirs by dissolution by simulating different solution media, temperature, pressure, and dissolution time, quantitatively analyzes the influence mechanism of dissolution pores and fractures on the rock skeleton and its elastic parameters, adopts different dissolution pore-fracture reservoir rock physics models based on different response mechanisms of the reservoir, evaluates the seismic attribute response of pore-fracture carbonate reservoirs, and helps to improve the accuracy of seismic reservoir prediction.

[0229] In addition, it should be understood that the method or device disclosed in the embodiments provided in the present application can also be implemented in other ways. The method or device embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the methods and devices according to the multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a computer program segment or a part of a computer program, and the module, computer program segment or a part of a computer program contains one or more computer programs for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings, and can actually be executed in parallel. They can also be executed in the opposite order sometimes, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs the specified function or action, or can be implemented with a combination of dedicated hardware and computer programs.

[0230] In this application, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements that are inherent to such process, method, article, or apparatus. In the absence of further restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, device or equipment including the elements; if there is a description of "first", "second", etc., it is only for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features; in the description of this application, unless otherwise specified, the terms "multiple" and "multiple" mean at least two; if there is a description of a server, it should be noted that the server can be an independent physical server or terminal, or a server cluster composed of multiple physical servers, or a cloud server that can provide basic cloud computing services such as cloud servers, cloud databases, cloud storage and CDN; if there is a description of a smart terminal or mobile device in this application, it should be noted that the smart terminal or mobile device can be a mobile phone, a tablet computer, a smart watch, a netbook, a wearable electronic device, a personal digital assistant (PDA), an augmented reality technology device (AR), a virtual reality device (VR), a smart TV, a smart speaker, a personal computer (PC), a tablet computer, a smart phone, a smart TV, a smart speaker, a smart phone ... Computer, referred to as PC), etc., but not limited to this, the present application does not specifically limit the specific form of the smart terminal or mobile device.

[0231] Finally, it should be noted that, in the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "an example" or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0232] Although the embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary, and the contents described are only embodiments adopted for the convenience of understanding the present application, and are not intended to limit the present application. Any technician in the technical field to which the present application belongs can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed in the present application, but the scope of protection of the present application shall still be based on the scope defined in the attached claims.

Claims

1. A quantitative evaluation method for the effect of dissolution on the elasticity of sedimentary rocks, characterized in that: The method comprises: Determine the mineral components, the content of each mineral component, the first pore characteristic and the first elastic parameter of the carbonate rock sample of the target layer; wherein the pore characteristic includes porosity and pore aspect ratio, and the elastic parameter includes longitudinal wave velocity and shear wave velocity; Determine the dissolution environment parameters according to the sedimentary environment, underground fluid conditions and burial history of the carbonate rock sample, and perform dissolution simulation treatment on the carbonate rock sample according to the dissolution environment parameters; re-determining a second pore characteristic and a second elastic parameter of the carbonate rock sample; A quantitative evaluation model is established based on the mineral components, the contents of each mineral component, the first pore characteristic, the first elastic parameter, the second pore characteristic and the second elastic parameter, and the effect of dissolution on the elasticity of carbonate rock is evaluated based on the quantitative evaluation model.

2. The quantitative evaluation method for the effect of dissolution on the elasticity of sedimentary rocks according to claim 1, characterized in that: The re-determining the second pore characteristic and the second elastic parameter of the carbonate rock sample comprises: The carbonate rock sample is subjected to multiple dissolution simulation processes in succession according to the dissolution environment parameters to obtain multiple second pore characteristics and second elastic parameter data with different dissolution degrees.

3. The quantitative evaluation method for the effect of dissolution on the elasticity of sedimentary rocks according to claim 1, characterized in that: The dissolution environment parameters include: dissolution temperature, dissolution pressure, dissolution reaction solution, solubility of the dissolution reaction solution and dissolution treatment time; wherein, In the case where the carbonate rock sample is in the process of organic acid dissolution in a deep formation, the dissolution reaction solution includes an acetic acid dissolution solution; When the carbonate rock sample is in the state of weathering, leaching and dissolution near the surface, the dissolution reaction solution includes a carbonate dissolution solution.

4. The quantitative evaluation method for the effect of dissolution on the elasticity of sedimentary rocks according to claim 1, characterized in that: The establishing of a quantitative evaluation model according to the mineral components, the content of each mineral component, the first pore characteristic, the first elastic parameter, the second pore characteristic and the second elastic parameter comprises: Establishing a relationship between porosity and pressure according to the first pore characteristic, the first elastic parameter, the second pore characteristic and the second elastic parameter, and determining a fitting coefficient of the relationship between porosity and pressure; A quantitative evaluation model is established based on the mineral components, the content of each mineral component and the relationship between the porosity and pressure.

5. The quantitative evaluation method for the effect of dissolution on the elasticity of sedimentary rocks according to claim 1, characterized in that: The relationship between porosity and pressure includes: in, is the porosity, P is the pressure, is the porosity at normal pressure, and b is the fitting coefficient.

6. The quantitative evaluation method for the effect of dissolution on the elasticity of sedimentary rocks according to any one of claims 1 to 5, characterized in that: The quantitative evaluation model includes: Where K is the bulk modulus, μ is the shear modulus, P is the formation pressure, and γ is the pore aspect ratio. is the porosity, C1 is a constant, and a is a constant coefficient; is the critical porosity of rock; is the equivalent bulk modulus of the mineral component, f i is the volume proportion of the i-th mineral component in the rock, K i is the bulk modulus of the i-th mineral component in the rock; μ i is the shear modulus of the ith mineral component in the rock.

7. The quantitative evaluation method for the effect of dissolution on the elasticity of sedimentary rocks according to claim 6, characterized in that: The quantitative evaluation model also includes: Among them, V p is the formation P-wave velocity, V s is the formation shear wave velocity, ρ is the density of the carbonate rock sample, and C2 is a constant.

8. A quantitative evaluation device for the effect of dissolution on the elasticity of sedimentary rocks, characterized in that: include: A first determination module is used to determine the mineral components, the content of each mineral component, a first pore characteristic and a first elastic parameter of the carbonate rock sample of the target layer; wherein the pore characteristic includes porosity and pore aspect ratio, and the elastic parameter includes longitudinal wave velocity and transverse wave velocity; A dissolution simulation processing module is used to determine the dissolution environment parameters according to the deposition environment, underground fluid conditions and burial history of the carbonate rock sample area, and perform dissolution simulation processing on the carbonate rock sample according to the dissolution environment parameters; A second determination module, used to re-determine a second pore characteristic and a second elastic parameter of the carbonate rock sample; A quantitative evaluation model determination module is used to establish a quantitative evaluation model based on the mineral components, the content of each mineral component, the first pore characteristic, the first elastic parameter, the second pore characteristic and the second elastic parameter, and evaluate the impact of dissolution on the elasticity of carbonate rock based on the quantitative evaluation model.

9. A computer-readable storage medium, characterized in that: The computer program stored in the computer-readable storage medium, when executed by one or more processors, implements the quantitative evaluation method for the effect of dissolution on the elasticity of sedimentary rocks as described in any one of claims 1 to 7.

10. An electronic device, characterized in that: The method comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, a quantitative evaluation method for the influence of dissolution on the elasticity of sedimentary rocks as claimed in any one of claims 1 to 7 is implemented.

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