Breakage pressure prediction method and device based on stress-strain relationship

Abstract

The invention belongs to the technical field of geomechanics and logging engineering, and particularly discloses a fracture pressure prediction method and device based on the stress-strain relation, and the method comprises the steps: building a logging fracture pressure prediction model based on logging and drilling data; performing inversion on the pre-stack seismic data to obtain an inversion result; constructing a three-dimensional logging fracture pressure prediction model based on the logging fracture pressure prediction model and the inversion result; and guiding drilling engineering and / or fracturing construction based on the three-dimensional logging fracture pressure prediction model. According to the fracture pressure prediction method based on the stress-strain relationship, the three-dimensional well logging fracture pressure prediction model is constructed based on the well logging fracture pressure prediction model and the inversion result, the influence of the well wall fracture mechanism and the ground stress on fracture pressure prediction is comprehensively considered, and a rigorous theoretical basis and high applicability are established.

Description

Technical Field

[0001] The invention belongs to the technical field of geomechanics and well logging engineering, and in particular relates to a method and device for predicting fracture pressure based on stress-strain relationship. Background Art

[0002] Formation fracture pressure is an important basis for reasonably determining wellbore structure, safe drilling and fracturing pressure. There are currently two ways to obtain this parameter: one is indoor rock mechanics experiments or on-site hydraulic fracturing in oil and gas wells, and the other is to extract formation fracture pressure from well logging data. At present, the methods and technologies for estimating formation fracture pressure of sandstone and mudstone profiles using well logging data are relatively mature.

[0003] There have been many reports on the prediction models of formation fracture pressure at home and abroad. These models have their specific applicable conditions. For example, the Huang Rongzun model is an advanced fracture pressure calculation method. The shortcomings of the Huang Rongzun model are that on the one hand, the influence of tectonic stress on the horizontal ground stress is considered through the tectonic stress coefficient, and the theoretical basis is not rigorous; on the other hand, the Huang Rongzun model is constructed for vertical wellbore and is not suitable for horizontal well fracture pressure prediction.

[0004] The existing prediction methods of formation fracture pressure have their specific application conditions and are difficult to apply to high-precision fracture pressure prediction of complex reservoirs.

[0005] Based on this technical background, the present invention studies a method and device for predicting fracture pressure based on stress-strain relationship. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a method and device for predicting fracture pressure based on stress-strain relationship. The prediction method comprehensively considers the influence of well wall fracture mechanism and ground stress on fracture pressure prediction, and has established a rigorous theoretical basis and strong applicability.

[0007] In order to achieve the above object, the first aspect of the present invention provides a method for predicting fracture pressure based on stress-strain relationship, comprising:

[0008] Construct a logging fracture pressure prediction model based on logging and drilling data;

[0009] Inversion results are obtained by inverting pre-stack seismic data;

[0010] Constructing a three-dimensional well logging fracture pressure prediction model based on the well logging fracture pressure prediction model and the inversion result;

[0011] The drilling engineering and / or fracturing construction are guided based on the three-dimensional well logging fracture pressure prediction model.

[0012] A second aspect of the present invention provides a device for predicting fracture pressure based on stress-strain relationship, comprising:

[0013] The fracture pressure prediction module is used to build a fracture pressure prediction model based on well logging and drilling data;

[0014] Inversion module, used to invert pre-stack seismic data to obtain inversion results;

[0015] A three-dimensional well logging fracture pressure prediction module, used to construct a three-dimensional well logging fracture pressure prediction model based on the well logging fracture pressure prediction model and the inversion result;

[0016] The prediction guidance module is used to guide drilling engineering and / or fracturing construction based on the three-dimensional well logging fracture pressure prediction model.

[0017] A third aspect of the present invention provides an electronic device, the electronic device comprising:

[0018] A memory storing executable instructions;

[0019] A processor runs the executable instructions in the memory to implement the method for predicting fracture pressure based on stress-strain relationship described in the first aspect.

[0020] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the method for predicting fracture pressure based on stress-strain relationship described in the first aspect.

[0021] The beneficial effects of the present invention include:

[0022] (1) The method for predicting fracture pressure based on stress-strain relationship provided by the present invention constructs a three-dimensional fracture pressure prediction model based on the fracture pressure prediction model of well logging and the inversion results, comprehensively considers the influence of the well wall fracture mechanism and ground stress on the fracture pressure prediction, and establishes a rigorous theoretical foundation and strong applicability.

[0023] (2) The method for predicting fracture pressure based on stress-strain relationship provided by the present invention constructs a three-dimensional fracture pressure prediction model based on the well logging fracture pressure prediction model and the static Poisson's ratio and Young's modulus, thereby avoiding the defects of the existing prediction model that the theoretical basis is not rigorous and is not suitable for horizontal well fracture pressure prediction.

[0024] (3) The method for predicting fracture pressure based on stress-strain relationship provided by the present invention characterizes the influence of ground stress on fracture pressure through the stress-strain relationship of elastic deformation theory, and obtains dynamic Poisson's ratio and dynamic Young's modulus by inverting pre-stack seismic data. The theoretical basis is more rigorous, which is helpful for the accurate prediction of fracture pressure.

[0025] (4) The fracture pressure prediction method based on stress-strain relationship provided by the present invention constructs a three-dimensional well logging fracture pressure prediction model, which is highly consistent with the measured data and provides a basis for reasonably determining the wellbore structure, safe drilling and determining the fracturing construction pressure.

[0026] Other features and advantages of the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The above and other objects, features and advantages of the present invention will become more apparent through a more detailed description of exemplary embodiments of the present invention with reference to the accompanying drawings.

[0028] Figure 1 This is a flow chart of the method for predicting fracture pressure based on stress-strain relationship proposed by the present invention.

[0029] Figure 2 This is a schematic diagram of the logging formation pressure and ground stress effects predicted by the fracture pressure prediction method based on stress-strain relationship in the fourth embodiment of the present invention.

[0030] Figure 3 It is a schematic diagram of the effect of well logging fracture pressure predicted by the fracture pressure prediction method based on stress-strain relationship in the fourth embodiment of the present invention.

[0031] Figure 4 It is a schematic cross-sectional view of a three-dimensional rupture pressure prediction method based on stress-strain relationship in the fourth embodiment of the present invention. DETAILED DESCRIPTION

[0032] The preferred embodiments of the present invention will be described in more detail below. Although the preferred embodiments of the present invention are described below, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0033] The present invention provides a method for predicting rupture pressure based on stress-strain relationship. Figure 1 As shown, including:

[0034] Construct a logging fracture pressure prediction model based on logging and drilling data;

[0035] Inversion results are obtained by inverting pre-stack seismic data;

[0036] Construct a 3D logging fracture pressure prediction model based on the well logging fracture pressure prediction model and inversion results;

[0037] The three-dimensional logging fracture pressure prediction model is used to guide drilling engineering and / or fracturing construction.

[0038] In the present invention, a three-dimensional well logging fracture pressure prediction model is constructed based on the well logging fracture pressure prediction model and the inversion results, and the influence of the well wall fracture mechanism and the ground stress on the fracture pressure prediction is comprehensively considered, thus establishing a rigorous theoretical basis and strong applicability.

[0039] According to the present invention, building a logging fracture pressure prediction model based on logging and drilling data includes:

[0040] A logging stress-strain relationship model is constructed based on the logging and drilling data, and a logging fracture pressure prediction model is obtained based on the logging stress-strain relationship model.

[0041] According to the present invention, the formula used to construct the well logging stress-strain relationship model is:

[0042]

[0043]

[0044] Among them, α is the Biot coefficient, P p is the pore pressure, E is the Young's modulus of the rock, v is the Poisson's ratio, ε h With ε H are the minimum and maximum horizontal principal strains, S h is the minimum horizontal principal stress, S H is the maximum horizontal principal stress, S V is the overlying formation pressure.

[0045] According to the present invention, the formula used in the well logging fracture pressure prediction model is:

[0046]

[0047] Among them, P f is the bursting pressure.

[0048] Preferably, inverting the pre-stack seismic data to obtain an inversion result includes:

[0049] The stacking process is performed by angle stacking to obtain the stacking data of the near-biased, mid-biased and far-biased parts;

[0050] Based on the elastic impedance of the superimposed data, the longitudinal wave velocity body, the shear wave velocity body and the density body are obtained by inversion;

[0051] The dynamic Poisson's ratio and dynamic Young's modulus are calculated through the longitudinal wave velocity body, shear wave velocity body and density body.

[0052] In the present invention, a three-dimensional well logging fracture pressure prediction model is constructed based on the well logging fracture pressure prediction model and the static Poisson's ratio and Young's modulus, thereby avoiding the defects of the existing prediction model that the theoretical basis is not rigorous and is not suitable for horizontal well fracture pressure prediction;

[0053] Existing fracture pressure prediction models include Eaton model, Anderson model, Huang Rongzun model, etc. Huang Rongzun model is a more advanced fracture pressure prediction model, which takes into account the influence of pore pressure, rock tensile strength, tectonic stress, well wall stress concentration, etc. Huang Rongzun fracture pressure prediction model is expressed as:

[0054]

[0055] The shortcomings of Huang Rongzun's model are that, on the one hand, the influence of tectonic stress on horizontal geostress is considered through the tectonic stress coefficient k, and the theoretical basis is not rigorous; on the other hand, Huang Rongzun's model is constructed for vertical wellbores and is not suitable for horizontal well fracture pressure prediction.

[0056] According to the present invention, the dynamic Poisson's ratio is calculated by the following formula:

[0057]

[0058] The dynamic Young's modulus is calculated by the following formula:

[0059]

[0060] in, μ=ρV s 2 , v p is the longitudinal wave velocity, v s is the shear wave velocity and ρ is.

[0061] According to the present invention, constructing a three-dimensional well logging fracture pressure prediction model based on the well logging fracture pressure prediction model and the inversion result includes:

[0062] Based on the dynamic Poisson's ratio and dynamic Young's modulus, the static Poisson's ratio and Young's modulus are obtained;

[0063] A three-dimensional well logging fracture pressure prediction model is constructed based on the well logging fracture pressure prediction model and the static Poisson's ratio and Young's modulus;

[0064] The formula used in the 3D logging fracture pressure prediction model is:

[0065]

[0066] Among them, v 3D is the static Poisson's ratio, E 3D is Young's modulus, S V(3D) is the three-dimensional overlying formation pressure, P p(3D) is the three-dimensional formation pressure, S t(3D) It is the three-dimensional tensile strength.

[0067] In the present invention, the influence of ground stress on fracture pressure is characterized by the stress-strain relationship of elastic deformation theory, and the dynamic Poisson's ratio and dynamic Young's modulus are obtained by inverting pre-stack seismic data. The theoretical basis is more rigorous, which is helpful for the accurate prediction of fracture pressure.

[0068] The method of the present invention constructs a three-dimensional logging fracture pressure prediction model, which is highly consistent with the measured data and provides a basis for reasonably determining the wellbore structure, safe drilling and determining the fracturing construction pressure.

[0069] The present invention will be described in more detail below by way of examples.

[0070] Embodiment 1:

[0071] This embodiment proposes a method for predicting fracture pressure based on stress-strain relationship, and the specific implementation process includes:

[0072] (1) Construction of fracture pressure prediction model

[0073] Wellbore rupture is closely related to the mechanism of wellbore stress concentration, so wellbore stress concentration affects the construction of the rupture pressure prediction model. The Kirsch equation gives the stress concentration of the surrounding rock of a vertical well parallel to the vertical principal stress in an isotropic elastic medium. Mathematically, the effective stress of the surrounding rock of a vertical well with a radius of R is expressed in the coordinate system as:

[0074] Radial stress around the well:

[0075] Hoop stress around well:

[0076] Tangential stress around the well:

[0077] Effective stress parallel to the wellbore:

[0078] Where θ is the value from S Hmax The angle measured in azimuth, r is the radial distance from the center of the wellbore, and p is the p is the formation pore pressure, Δp is the drilling fluid column pressure P m and pore pressure p p The difference, α ΔT Represents the thermal stress caused by the difference between the drilling fluid temperature and the formation temperature.

[0079] The stress distribution at the wall of a vertical well (r = R) is:

[0080] σ rr =Δp

[0081] σ θθ =S hmin +SHmax -2(S Hmax -S hmin )cos2θ-2P p -Δp-σ ΔT

[0082] σ zz =S V -2υ(S Hmax -S hmin )cos2θ-P p -σ ΔT

[0083] The minimum stress concentration point on the wellbore wall is parallel to the SHmax direction. In this direction, the wellbore wall is prone to enter a tensile state and rupture. At this time, the hoop stress σ θθ It is expressed as (the influence of thermal stress is ignored here):

[0084] σ θθ =3S hmin -S Hmax -2P p -Δp

[0085] =3S hmin -S Hmax -P p -P m

[0086] During the drilling process, when the borehole fluid column pressure is higher than the formation fracture pressure, arc tensile stress will appear around the well wall. When the tensile stress reaches the upper limit of the formation tensile strength, tensile failure will occur. In other words, when the minimum principal stress at any point exceeds the tensile strength of the rock, the rock will undergo tensile failure. The stress condition for formation fracture can be expressed as:

[0087] σ θθ =-S t

[0088] Among them, S t is the tensile strength of the rock, and the drilling fluid column pressure P that meets this condition m It is called the burst pressure P f Therefore, the bursting pressure P f It can be expressed as:

[0089] P m =3S hmin -S Hmax -P p +St

[0090] From the expression of fracture pressure, it can be seen that fracture pressure is related to minimum horizontal principal stress, maximum horizontal principal stress, pore pressure and tensile strength. The pore pressure can be obtained by using pressure prediction methods such as Eaton method, Bowers method and improved Eaton method, and the tensile strength can be obtained by the relationship between the scaled elastic parameters and the compressive strength. The minimum horizontal principal stress and the maximum horizontal principal stress have different calculation methods, which will have a significant impact on the fracture pressure results. Therefore, the accurate prediction of the minimum and maximum horizontal principal stresses is crucial to the fracture pressure.

[0091] Based on the elastic deformation theory of fluid-saturated porous rocks, when the medium is isotropic, the relationship between principal strain, principal stress and pore pressure can be expressed as:

[0092]

[0093]

[0094]

[0095] The minimum horizontal principal stress S based on poroelasticity theory h and the maximum horizontal principal stress S H for:

[0096]

[0097]

[0098] Where α is the Biot coefficient, P p is the pore pressure, E is the Young's modulus of the rock, v is the Poisson's ratio, ε h With ε H are the minimum and maximum horizontal principal strains, respectively.

[0099] From the above formula, it can be seen that in the prediction of geostress, the minimum and maximum horizontal principal strains are two parameters that need to be determined in the prediction of geostress. In practice, the actual minimum and maximum horizontal principal stresses at certain depths can be determined through micro-fracturing, core Kessel effect and other methods, and then the minimum and maximum horizontal principal strains can be obtained by reverse calculation. The specific calculation formula is:

[0100]

[0101]

[0102]

[0103] SH_diff=SH-SH_base,

[0104] Sh_diff=Sh-SH_base,

[0105] in

[0106] Substituting the minimum and maximum horizontal principal stress expressions into the fracture pressure prediction formula, a new fracture pressure prediction model can be obtained:

[0107]

[0108] Compared with Huang Rongzun's rupture pressure model, it can be seen that the newly proposed rupture pressure model characterizes the influence of ground stress on rupture pressure through the stress-strain relationship of elastic deformation theory. It has a more rigorous theoretical basis and is helpful for the accurate prediction of rupture pressure.

[0109] (2) Prediction of fracture pressure before drilling

[0110] After the fracture pressure prediction model is built, the three-dimensional pre-drilling fracture pressure prediction can be carried out. Pre-stack seismic data contains rich elastic parameter information. Based on pre-stack seismic inversion, high-precision Poisson's ratio and Young's modulus prediction can be achieved. Based on the fracture pressure prediction model constructed by well logging, the pre-drilling fracture pressure prediction based on three-dimensional seismic can be achieved.

[0111] On the basis of amplitude preservation processing of pre-stack migration gathers, the angle stacking range is first determined by logging AVO feature analysis, and the pre-stack gathers are stacked at different angles to obtain partial stacking data of near deviation, mid deviation and far deviation. On the basis of well logging synthetic seismic records, the wavelets of each partial stacking data are estimated, and a low-frequency elastic impedance model is established based on well data to perform elastic impedance inversion of each partial stacking data. On the basis of elastic impedance inversion, the following relationship between elastic impedance and P-wave velocity, S-wave velocity and density is used for inversion:

[0112]

[0113] The longitudinal wave velocity body, transverse wave velocity body and density body can be obtained. The dynamic Poisson's ratio can be calculated through the longitudinal wave velocity body, transverse wave velocity body and density body and Young's modulus Then, the static Poisson's ratio v is obtained through the dynamic-static conversion relationship 3D and Young's modulus E 3D , and then into the ground stress prediction model, the three-dimensional fracture pressure Pf can be obtained (3D) :

[0114]

[0115] Among them, S V(3D)is the three-dimensional overburden pressure, which can be obtained by integration based on the three-dimensional density construction, P p(3D) is the three-dimensional formation pressure, which can be obtained through three-dimensional formation pressure prediction technology (Eaton method, Bowers method, etc.), S t(3D) It is the three-dimensional tensile strength, which can be obtained based on the elastic parameter-tensile strength relationship constructed on the well logging.

[0116] Embodiment 2:

[0117] This embodiment proposes a method for predicting fracture pressure based on stress-strain relationship. Figure 1 As shown, including:

[0118] Construct a logging fracture pressure prediction model based on logging and drilling data;

[0119] Inversion results are obtained by inverting pre-stack seismic data;

[0120] Construct a 3D logging fracture pressure prediction model based on the well logging fracture pressure prediction model and inversion results;

[0121] Guiding drilling engineering and / or fracturing operations based on 3D logging fracture pressure prediction models;

[0122] The logging fracture pressure prediction model based on logging and drilling data includes:

[0123] A logging stress-strain relationship model is constructed based on the logging and drilling data, and a logging fracture pressure prediction model is obtained based on the logging stress-strain relationship model.

[0124] In this embodiment, the formula used to construct the well logging stress-strain relationship model is:

[0125]

[0126]

[0127] Among them, α is the Biot coefficient, P p is the pore pressure, E is the Young's modulus of the rock, v is the Poisson's ratio, ε h With ε H are the minimum and maximum horizontal principal strains, S h is the minimum horizontal principal stress, S H is the maximum horizontal principal stress, S V is the overlying formation pressure;

[0128] The formula used in the logging fracture pressure prediction model is:

[0129]

[0130] Among them, P fis the bursting pressure;

[0131] The inversion results obtained by inverting pre-stack seismic data include:

[0132] The stacking process is performed by angle stacking to obtain the stacking data of the near-biased, mid-biased and far-biased parts;

[0133] Based on the elastic impedance of the superimposed data, the longitudinal wave velocity body, the shear wave velocity body and the density body are obtained by inversion;

[0134] The dynamic Poisson's ratio and dynamic Young's modulus are calculated through the longitudinal wave velocity body, transverse wave velocity body and density body;

[0135] The dynamic Poisson's ratio is calculated by the following formula:

[0136]

[0137] The dynamic Young's modulus is calculated by the following formula:

[0138]

[0139] in, μ=ρV s 2 , v p is the longitudinal wave velocity, v s is the shear wave velocity, ρ is the density;

[0140] The three-dimensional logging fracture pressure prediction model is constructed based on the well logging fracture pressure prediction model and inversion results, including:

[0141] Based on the dynamic Poisson's ratio and dynamic Young's modulus, the static Poisson's ratio and Young's modulus are obtained;

[0142] A three-dimensional well logging fracture pressure prediction model is constructed based on the well logging fracture pressure prediction model and the static Poisson's ratio and Young's modulus;

[0143] The formula used in the 3D logging fracture pressure prediction model is:

[0144]

[0145] Among them, v 3D is the static Poisson's ratio, E 3D is Young's modulus, S V(3D) is the three-dimensional overlying formation pressure, P p(3D) is the three-dimensional formation pressure, S t(3D) It is the three-dimensional tensile strength.

[0146] Embodiment three:

[0147] This embodiment proposes a fracture pressure prediction device based on stress-strain relationship, such as Figure 1As shown, including:

[0148] The fracture pressure prediction module is used to build a fracture pressure prediction model based on well logging and drilling data;

[0149] Inversion module, used to invert pre-stack seismic data to obtain inversion results;

[0150] A three-dimensional well logging fracture pressure prediction module is used to construct a three-dimensional well logging fracture pressure prediction model based on the well logging fracture pressure prediction model and inversion results;

[0151] A prediction guidance module, used to guide drilling engineering and / or fracturing construction based on a three-dimensional logging fracture pressure prediction model;

[0152] The logging fracture pressure prediction model based on logging and drilling data includes:

[0153] A logging stress-strain relationship model is constructed based on the logging and drilling data, and a logging fracture pressure prediction model is obtained based on the logging stress-strain relationship model.

[0154] In this embodiment, the formula used to construct the well logging stress-strain relationship model is:

[0155]

[0156]

[0157] Among them, α is the Biot coefficient, P p is the pore pressure, E is the Young's modulus of the rock, v is the Poisson's ratio, ε h With ε H are the minimum and maximum horizontal principal strains, S h is the minimum horizontal principal stress, S H is the maximum horizontal principal stress, S V is the overlying formation pressure;

[0158] The formula used in the logging fracture pressure prediction model is:

[0159]

[0160] Among them, P f is the bursting pressure;

[0161] The inversion results obtained by inverting pre-stack seismic data include:

[0162] The stacking process is performed by angle stacking to obtain the stacking data of the near-biased, mid-biased and far-biased parts;

[0163] Based on the elastic impedance of the superimposed data, the longitudinal wave velocity body, the shear wave velocity body and the density body are obtained by inversion;

[0164] The dynamic Poisson's ratio and dynamic Young's modulus are calculated through the longitudinal wave velocity body, transverse wave velocity body and density body;

[0165] The dynamic Poisson's ratio is calculated by the following formula:

[0166]

[0167] The dynamic Young's modulus is calculated by the following formula:

[0168]

[0169] in, μ=ρV s 2 , v p is the longitudinal wave velocity, v s is the shear wave velocity, ρ is the density;

[0170] The three-dimensional logging fracture pressure prediction model is constructed based on the well logging fracture pressure prediction model and inversion results, including:

[0171] Based on the dynamic Poisson's ratio and dynamic Young's modulus, the static Poisson's ratio and Young's modulus are obtained;

[0172] A three-dimensional well logging fracture pressure prediction model is constructed based on the well logging fracture pressure prediction model and the static Poisson's ratio and Young's modulus;

[0173] The formula used in the 3D logging fracture pressure prediction model is:

[0174]

[0175] Among them, v 3D is the static Poisson's ratio, E 3D is Young's modulus, S V(3D) is the three-dimensional overlying formation pressure, P p(3D) is the three-dimensional formation pressure, S t(3D) It is the three-dimensional tensile strength.

[0176] Embodiment 4:

[0177] This embodiment verifies the rationality and practicality of the method for predicting fracture pressure based on stress-strain relationship proposed by the present invention through examples.

[0178] First, under the constraints of measured pressure and stress data, the logging formation pressure and ground stress prediction was carried out. The results are as follows Figure 1 As shown in the figure, it can be seen that the predicted pressure and ground stress curves are highly consistent with the measured points, indicating the rationality of the constructed pressure and ground stress prediction model; based on the prediction of formation pressure and ground stress, the logging fracture pressure prediction is carried out, such as Figure 2As shown in the figure, it can be seen that the low Young's modulus and low Poisson's ratio reservoir sections show low fracture pressure characteristics, which is consistent with theoretical understanding; the fracture pressure prediction model built on well logging is applied to 3D seismic, and the results are as follows Figure 3 As shown in the figure, the high-quality reservoir section on the fracture pressure profile is characterized by low fracture pressure, which is basically consistent with the geological understanding and illustrates the rationality of the three-dimensional fracture pressure prediction.

[0179] Embodiment five:

[0180] An embodiment of the present invention provides an electronic device including a memory and a processor.

[0181] A memory storing executable instructions;

[0182] The processor runs the executable instructions in the memory to implement the fracture pressure prediction method based on the stress-strain relationship.

[0183] The memory is used to store non-temporary computer-readable instructions. Specifically, the memory may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may, for example, include random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may, for example, include read-only memory (ROM), hard disk, flash memory, etc.

[0184] The processor may be a central processing unit (CPU) or other forms of processing units with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions. In one embodiment of the present invention, the processor is used to run the computer-readable instructions stored in the memory.

[0185] Those skilled in the art should be able to understand that in order to solve the technical problem of how to obtain a good user experience, the present embodiment may also include well-known structures such as a communication bus and an interface, and these well-known structures should also be included in the protection scope of the present invention.

[0186] For detailed description of this embodiment, reference may be made to the corresponding descriptions in the aforementioned embodiments, which will not be repeated here.

[0187] Embodiment six:

[0188] An embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, a method for predicting a fracture pressure based on a stress-strain relationship is implemented.

[0189] The computer-readable storage medium according to the embodiment of the present invention stores non-transitory computer-readable instructions, and when the non-transitory computer-readable instructions are executed by a processor, all or part of the steps of the above-mentioned methods of the embodiments of the present invention are executed.

[0190] The above-mentioned computer-readable storage media include, but are not limited to: optical storage media (e.g., CD-ROM and DVD), magneto-optical storage media (e.g., MO), magnetic storage media (e.g., magnetic tape or mobile hard disk), media with built-in rewritable non-volatile memory (e.g., memory card) and media with built-in ROM (e.g., ROM box).

[0191] The method for predicting fracture pressure based on stress-strain relationship in the embodiment of the present invention constructs a three-dimensional well logging fracture pressure prediction model based on the well logging fracture pressure prediction model and the inversion result, comprehensively considers the influence of the well wall fracture mechanism and the ground stress on the fracture pressure prediction, and establishes a rigorous theoretical foundation and strong applicability.

[0192] The embodiments of the present invention have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments.

Claims

1. A method for predicting fracture pressure based on stress-strain relationship, characterized in that: include: Construct a logging fracture pressure prediction model based on logging and drilling data; Inversion results are obtained by inverting pre-stack seismic data; Constructing a three-dimensional well logging fracture pressure prediction model based on the well logging fracture pressure prediction model and the inversion result; The drilling engineering and / or fracturing construction are guided based on the three-dimensional well logging fracture pressure prediction model.

2. The prediction method according to claim 1, characterized in that: The logging fracture pressure prediction model based on logging and drilling data includes: A logging stress-strain relationship model is constructed based on the logging and drilling data, and a logging fracture pressure prediction model is obtained based on the logging stress-strain relationship model.

3. The prediction method according to claim 2, characterized in that: The formula used to construct the logging stress-strain relationship model is: Among them, α is the Biot coefficient, P p is the pore pressure, E is the Young's modulus of the rock, v is the Poisson's ratio, ε h With ε H are the minimum and maximum horizontal principal strains, S h is the minimum horizontal principal stress, S H is the maximum horizontal principal stress, S V is the overlying formation pressure.

4. The prediction method according to claim 3, characterized in that: The formula used in the well logging fracture pressure prediction model is: Among them, P f is the bursting pressure.

5. The prediction method according to claim 4, characterized in that: The inversion results obtained by inverting the pre-stack seismic data include: The stacking process is performed by angle stacking to obtain the stacking data of the near-biased, mid-biased and far-biased parts; Inverting the elastic impedance based on the stacked data to obtain a longitudinal wave velocity body, a shear wave velocity body and a density body; The dynamic Poisson's ratio and the dynamic Young's modulus are calculated by using the longitudinal wave velocity body, the transverse wave velocity body and the density body.

6. The prediction method according to claim 5, characterized in that: The dynamic Poisson's ratio is calculated by the following formula: The dynamic Young's modulus is calculated by the following formula: in, μ=ρV s 2 , v p is the longitudinal wave velocity, v s is the shear wave velocity and ρ is the density.

7. The prediction method according to claim 6, characterized in that: Constructing a three-dimensional well logging fracture pressure prediction model based on the well logging fracture pressure prediction model and the inversion result includes: Obtaining a static Poisson's ratio and a Young's modulus based on the dynamic Poisson's ratio and the dynamic Young's modulus; Constructing a three-dimensional well logging fracture pressure prediction model based on the well logging fracture pressure prediction model and the static Poisson's ratio and Young's modulus; The formula used in the three-dimensional logging fracture pressure prediction model is: Among them, v 3D is the static Poisson's ratio, E 3D is Young's modulus, S V(3D) is the three-dimensional overlying formation pressure, P p(3D) is the three-dimensional formation pressure, S t(3D) It is the three-dimensional tensile strength.

8. A volcanic rock volcanic channel identification device, characterized in that: include: The fracture pressure prediction module is used to build a well logging fracture pressure prediction model based on well logging and drilling data; Inversion module, used to invert pre-stack seismic data to obtain inversion results; A three-dimensional well logging fracture pressure prediction module, used to construct a three-dimensional well logging fracture pressure prediction model based on the well logging fracture pressure prediction model and the inversion result; The prediction guidance module is used to guide drilling engineering and / or fracturing construction based on the three-dimensional well logging fracture pressure prediction model.

9. An electronic device, characterized in that: The electronic device comprises: A memory storing executable instructions; A processor, wherein the processor runs the executable instructions in the memory to implement the method for predicting fracture pressure based on stress-strain relationship according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for predicting fracture pressure based on stress-strain relationship described in any one of claims 1 to 7 is implemented.

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