A three-dimensional formation drillability modeling method, prediction method and device

Abstract

The present invention discloses a three-dimensional formation drillability modeling method, prediction method, and device. The method includes: gridding the formation of a three-dimensional geological model corresponding to a target block; obtaining data on engineering parameters of drilled wells related to drillability, obtaining the vertical bedding plane drillability value and rock drillability influencing factor of the first grid based on the engineering parameters of the drilled wells in the same first grid; assigning the vertical bedding plane drillability value and rock drillability influencing factor of the second grid in the target block based on the vertical bedding plane drillability value of the first grid; obtaining the angle between the preset drilling direction of the well to be drilled in the target block and the formation bedding plane; obtaining the vertical bedding plane drillability value and rock drillability influencing factor corresponding to the grid where the well to be drilled is located based on a preset three-dimensional formation drillability model; and further obtaining the rock drillability value along the drilling direction of the well to be drilled. The method can quantitatively predict the drillability of formation rocks along the trajectory of the wellbore to be drilled.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a three-dimensional formation drillability modeling method, prediction method and device. Background Art

[0002] Rock drillability is an important parameter for evaluating the drillability of formation rocks during drilling and is a key basis for the design of drill bits and drilling parameters. Current research on rock drillability primarily involves grading rock drillability through methods such as indoor micro-drill bit rock-breaking tests and uniaxial compressive strength tests. However, during drilling engineering design, due to the inability to obtain sufficient formation cores for micro-drill bit rock-breaking tests or uniaxial compressive strength tests, the drillability of some formations within the design area can only be evaluated based on limited surface outcrop or core test results. Furthermore, during actual drilling, the drillability of formation rocks is affected by multiple factors, including triaxial in-situ stress, confining pressure, and temperature. Laboratory experiments cannot reproduce actual formation conditions or simulate the rock-breaking process of the drill bit underground, resulting in inaccurate results.

[0003] Existing technologies can only roughly estimate the drillability of formations lacking experimental rock samples such as cores and surface outcrops. This is affected by multiple factors, including data accuracy, model accuracy, formation conditions, and rock heterogeneity. Especially for deep and ultra-deep wells, there is a certain gap between the estimated results and the actual formation drillability, resulting in unsatisfactory field applications. Furthermore, formation rocks are affected by multiple factors, including sedimentary conditions and compaction and diagenetic conditions, resulting in a layered structure within the rock. This results in significant differences in rock drillability when drilling in different directions. Therefore, providing a method that can accurately predict the drillability of formation rocks is of great significance for increasing the speed and reducing the cost of drilling deep and ultra-deep wells. Summary of the Invention

[0004] There are still some problems in the current existing technology for accurately predicting the drillability of formation rocks. The inventors of the present invention have found that the actual mechanical drilling rate is an effective data for evaluating the drillability of formation rocks, which can directly reflect the drillability of formation rocks during the actual drilling process. Based on the three-dimensional geological model, after the wellbore trajectory is determined, the drillability of the formation to be drilled can be evaluated by well section.

[0005] In view of the above problems and findings, the present invention is proposed to provide a three-dimensional formation drillability modeling method, prediction method and device that overcome the above problems or at least partially solve the above problems.

[0006] In a first aspect, an embodiment of the present invention provides a three-dimensional formation drillability modeling method, comprising:

[0007] Gridding the strata of the three-dimensional geological model corresponding to the target block;

[0008] Obtaining data on engineering parameters of a drilled well related to drillability, and calculating a vertical bedding plane drillability value and a rock drillability influencing factor for the first grid based on the data on the engineering parameters of the drilled well in the same first grid, wherein the vertical bedding plane drillability value can represent the drillability of the rock in a direction perpendicular to the bedding plane;

[0009] assigning a vertical bedding plane drillability value and a rock drillability influencing factor to a second grid in the target block according to the vertical bedding plane drillability value of the first grid;

[0010] The first grid is a grid in the target block where drilling engineering data exists, and the second grid is a grid in the target block outside the first grid.

[0011] In one embodiment, the data of the engineering parameters of the drilled wells in the first grid include data of at least two engineering parameters of the drilled wells;

[0012] The step of obtaining data of engineering parameters of a drilled well related to drillability and calculating a vertical bedding plane drillability value and a rock drillability influencing factor of the first grid based on the data of engineering parameters of the drilled well in the same first grid comprises:

[0013] Calculate the first rock drillability value of each well at different depths based on the engineering parameter data of the wells that have been drilled;

[0014] Calculating an average of the first rock drillability values ​​at different well depths to obtain a second rock drillability value of the drilled well;

[0015] The vertical bedding plane drillability value and the rock drillability influencing factor of the first grid are calculated based on the second rock drillability values ​​of at least two drilled wells in the first grid.

[0016] In one embodiment, the step of calculating the first rock drillability value at different well depths of each drilled well based on engineering parameter data of the drilled wells includes:

[0017] The first rock drillability value at different depths of each drilled well is calculated using the following formula:

[0018]

[0019] In the above formula, K' represents the rock drillability value at different well depths, v represents the drilling speed, λ represents the rotational speed, D represents the drill bit diameter, W represents the bit weight, Q represents the displacement, T represents the torque, and m represents the number of blades.

[0020] In one embodiment, the calculating of the vertical bedding plane drillability value and the rock drillability influencing factor of the first grid based on the second rock drillability values ​​of at least two drilled wells in the first grid includes:

[0021] Obtain the angle between the drilling direction of the well and the bedding plane of the formation;

[0022] The vertical bedding plane drillability value and rock drillability influencing factor of the first grid are solved using the following formula:

[0023] K=K0e a(1-sinθ)

[0024] In the above formula, K represents the second rock drillability of the drilled well, K0 represents the drillability value perpendicular to the bedding plane, a is the rock drillability influencing factor, and θ represents the angle between the drilling direction of the drilled well and the bedding plane of the formation.

[0025] In one embodiment, assigning a value to the vertical bedding plane drillability value and the rock drillability influencing factor of the second grid in the target block based on the vertical bedding plane drillability value of the first grid includes:

[0026] A fuzzy clustering algorithm or a multiple spline interpolation method is used to assign drillability values ​​of vertical bedding planes and rock drillability influencing factors of the second grid.

[0027] In one embodiment, it further includes:

[0028] The three-dimensional geological model is calibrated according to the drilling and logging data of the target block.

[0029] In a second aspect, an embodiment of the present invention provides a method for predicting three-dimensional formation drillability, comprising:

[0030] Obtaining the angle between the preset drilling direction of the well to be drilled in the target block and the stratigraphic plane;

[0031] According to the preset three-dimensional formation drillability model, the vertical bedding plane drillability value and rock drillability influencing factor corresponding to the grid where the well is to be drilled are obtained;

[0032] Obtaining a rock drillability value of a well to be drilled according to the vertical bedding plane drillability value, the rock drillability influencing factor, and the angle;

[0033] The three-dimensional formation drillability model is obtained by the three-dimensional formation drillability modeling method as described above.

[0034] In one embodiment, after obtaining the drillability value of the rock to be drilled, the method further includes:

[0035] The engineering parameter values ​​of the well to be drilled are predicted based on the drillability value of the rock of the well to be drilled.

[0036] In a third aspect, an embodiment of the present invention provides a three-dimensional formation drillability modeling device, comprising:

[0037] A partitioning module is used to perform grid division on the strata of the three-dimensional geological model corresponding to the target block;

[0038] A first acquisition module is configured to acquire data on engineering parameters of a drilled well related to drillability, and calculate a vertical bedding plane drillability value and a rock drillability influencing factor for the first grid based on the data on the engineering parameters of the drilled well in the same first grid, wherein the vertical bedding plane drillability value can represent the drillability of the rock in a direction perpendicular to the bedding plane;

[0039] an assignment module, configured to assign a value to the vertical bedding plane drillability value and the rock drillability influencing factor of the second grid in the target block according to the vertical bedding plane drillability value of the first grid;

[0040] The first grid is a grid in the target block where drilling engineering data exists, and the second grid is a grid in the target block outside the first grid.

[0041] In a fourth aspect, an embodiment of the present invention provides a three-dimensional formation drillability prediction device, comprising:

[0042] The first acquisition module is used to obtain the angle between the preset drilling direction of the well to be drilled in the target block and the stratigraphic plane;

[0043] The second acquisition module is used to obtain the vertical bedding plane drillability value and rock drillability influencing factor corresponding to the grid where the well is to be drilled based on a preset three-dimensional formation drillability model;

[0044] A prediction module, configured to obtain a rock drillability value of a well to be drilled based on the vertical bedding plane drillability value, the rock drillability influencing factor, and the angle;

[0045] The three-dimensional formation drillability model is obtained by the three-dimensional formation drillability modeling device as described above.

[0046] In the fifth aspect, an embodiment of the present invention provides a computing device, comprising: a memory, a processor, and a computer program stored in the memory and runnable on the processor, wherein when the processor executes the program, it implements a three-dimensional formation drillability modeling method as described above or a three-dimensional formation drillability prediction method as described above.

[0047] In a sixth aspect, an embodiment of the present invention provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements a three-dimensional formation drillability modeling method as described above or a three-dimensional formation drillability prediction method as described above.

[0048] In the seventh aspect, an embodiment of the present invention provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements a three-dimensional formation drillability modeling method as described above or a three-dimensional formation drillability prediction method as described above.

[0049] The beneficial effects of the above technical solutions provided by the embodiments of the present invention include at least:

[0050] The three-dimensional formation drillability modeling method provided by the embodiment of the present invention simulates the formation conditions of the target block by constructing a three-dimensional geological model, and divides the three-dimensional geological model into grids. Based on the drilling and logging data of the wells in the target block, the grids containing the data of the engineering parameters of the wells that have been drilled and are related to the drillability are statistically screened to obtain a first grid. The drillability value of the vertical bedding plane and the rock drillability influencing factor belonging to the same first grid are calculated. Based on the data of the engineering parameters of the wells that have been drilled and are related to the drillability, the drillability value of the vertical bedding plane and the rock drillability influencing factor of the first grid are solved. The vertical bedding plane drillability value and rock drillability influencing factor obtained from actual drilling data can more realistically reflect the actual drilling resistance of the rock. Based on the vertical bedding plane drillability value and rock drillability influencing factor obtained for the first grid, the vertical bedding plane drillability value and rock drillability influencing factor of other grids in the target block except the first grid are calculated. Based on the seismic inversion results and actual logging data of the drilled wells, the heterogeneity of the formation rock and the actual drilling direction are taken into account to obtain a three-dimensional formation drillability model. This model can be used to accurately calculate the drillability of the rock when drilling along different drilling directions.

[0051] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purposes and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0052] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0054] Figure 1 This is a flow chart of a three-dimensional formation drillability modeling method according to an embodiment of the present invention;

[0055] Figure 2 A flow chart of a method for calculating a vertical bedding plane drillability value and a rock drillability influencing factor of a first grid in an embodiment of the present invention;

[0056] Figure 3 Schematic diagram of the three-dimensional grid model structure of target block a in an embodiment of the present invention;

[0057] Figure 4 Schematic diagram of the drillability structure of formation rock when drilling along the actual drilling trajectory in an embodiment of the present invention;

[0058] Figure 5-1 Schematic diagram of rock drillability structure when drilling along the direction perpendicular to the stratigraphic bedding in an embodiment of the present invention;

[0059] Figure 5-2 Schematic diagram of the drillability structure of the lithology of the formation to be drilled along a preset drilling direction in an embodiment of the present invention;

[0060] Figure 6 Schematic diagram of the structure of a three-dimensional rock drillability model in an embodiment of the present invention;

[0061] Figure 7 Flowchart of a method for predicting three-dimensional formation drillability according to an embodiment of the present invention;

[0062] Figure 8 Schematic diagram of the structure of a three-dimensional formation drillability modeling device according to an embodiment of the present invention;

[0063] Figure 9 Schematic diagram of the structure of a three-dimensional formation drillability prediction device in an embodiment of the present invention. DETAILED DESCRIPTION

[0064] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0065] In order to solve the problem in the prior art that the drillability of formation rocks cannot be accurately predicted, an embodiment of the present invention provides a three-dimensional formation drillability modeling method, a prediction method and an apparatus.

[0066] Example 1

[0067] The first embodiment of the present invention provides a three-dimensional formation drillability modeling method, the process of which is as follows: Figure 1 As shown, the following steps are included:

[0068] Step S1: Meshing the strata of the three-dimensional geological model corresponding to the target block;

[0069] Step S2: Acquire data on engineering parameters of drilled wells related to drillability, and calculate the vertical bedding plane drillability value and rock drillability influencing factor of the first grid based on the data on engineering parameters of drilled wells in the same first grid. The vertical bedding plane drillability value can represent the drillability of the rock in a direction perpendicular to the bedding plane;

[0070] Step S3: assigning a vertical bedding plane drillability value and a rock drillability influencing factor to the second grid in the target block according to the vertical bedding plane drillability value of the first grid;

[0071] The first grid is a grid in the target block where drilling engineering data exists, and the second grid is a grid in the target block outside the first grid.

[0072] In the above step S1, a three-dimensional geological model of the target block is established based on the seismic inversion data. The three-dimensional geological model is calibrated according to the drilling and logging data in the target block. The rock lithology of the calibrated three-dimensional geological model is marked by stratum and gridded according to stratum. The gridded three-dimensional geological model of the target block is as follows: Figure 2 As shown, it provides a basis for obtaining a high-precision three-dimensional layered model in the future.

[0073] In some optional embodiments, the data of engineering parameters of the drilled wells in the first grid include data of engineering parameters of at least two drilled wells;

[0074] The above step S2, such as Figure 3 As shown in the figure, the vertical bedding plane drillability value and rock drillability influencing factor of the first grid can be calculated as follows:

[0075] Step S21: Calculating a first rock drillability value at different well depths of each drilled well based on engineering parameter data of the drilled wells;

[0076] Step S22: calculating the average of the first rock drillability values ​​at different well depths to obtain the second rock drillability value of the drilled well;

[0077] Step S23: Calculate the vertical bedding plane drillability value and rock drillability influencing factor of the first grid according to the second rock drillability values ​​of at least two drilled wells in the first grid.

[0078] In some optional embodiments, the dimensionless formula in step S21 may be adjusted according to the actual engineering construction parameters of the target block and the process technology used. For example, the first rock drillability value at each well depth may be calculated using the following formula. Of course, the first rock drillability value may also be solved using other dimensionless formulas, which are not limited in this embodiment of the present invention.

[0079]

[0080] In the above formula, K′ represents the rock drillability value at different well depths, v represents the drilling speed, λ represents the rotational speed, D represents the drill bit diameter, W represents the bit weight, Q represents the displacement, T represents the torque, and m represents the number of blades.

[0081] The drilling and logging data of the target block are counted, and the engineering parameters of the drilled wells in the target block related to drillability are collected. The engineering parameters of the drilled wells related to drillability include mechanical penetration rate v, drill bit speed λ, drill bit diameter D, bit pressure W, displacement Q, torque T, number of blades m and other parameters. According to actual calculation needs, other parameters can also be filtered. The embodiment of the present invention does not limit this. Based on the engineering parameters of the drilled wells related to drillability in the target block, for each drilled well in the same first grid, the data of the relatively stable drilling section of the drilled well is filtered out as the valid data of the well. The valid data is the data of the drilling parameters and the relatively stable mechanical penetration rate of the well, and the sliding directional drilling and light pressure hanging of the well are filtered out. The drilling data under special working conditions such as drilling bit balling are analyzed using a dimensionless analysis method to obtain the rock drillability value at different well depths for each drilled well in the same first grid. The rock drillability value at each different well depth can characterize the rock drillability along the wellbore trajectory. A specific example is shown in Table 1, which shows the engineering parameter data related to drillability of Well A in the well section with depths of 3500 meters and 3505 meters. Table 1 has two rows of data. The first row of data shows the engineering parameter data related to drillability of Well A at a well depth of 3500 meters, and the second row of data shows the engineering parameter data related to drillability of Well A at a well depth of 3505 meters:

[0082] Table 1:

[0083]

[0084] Using formula (1), calculate the first rock drillability K1 of Well A at a depth of 3500 meters and the first rock drillability K2 of Well A at a depth of 3505 meters:

[0085]

[0086]

[0087] In some optional embodiments, still taking the data in Table 1 as an example, it can be obtained from the above step S22 that the average value of the first rock drillability value of Well A at the depths of 3500 meters and 3505 meters is calculated to obtain the second rock drillability value of Well A. The second rock drillability value can represent the rock drillability along the wellbore trajectory, such as Figure 4 As shown:

[0088]

[0089] In some optional embodiments, the above step S23 can be implemented in the following manner:

[0090] 1) Obtain the angle between the drilling direction of the well and the bedding plane of the formation;

[0091] According to the actual drilling trajectory of the wells drilled in the first grid and the stratum distribution characteristics of the 3D geological model, the angle θ between the drilling direction and the stratum bedding plane is obtained by segmented calculation.

[0092] 2) Use the following formula to solve the vertical bedding plane drillability value of the first grid and the rock drillability influencing factor. The vertical bedding plane drillability value of the first grid can represent the rock drillability when the drilling direction is perpendicular to the bedding plane, such as Figure 5-1 As shown:

[0093] K=K0e a(1-sinθ) ; (2)

[0094] In the above formula, K represents the second rock drillability of the drilled well, K0 represents the drillability value perpendicular to the bedding plane, a is the rock drillability influencing factor, and θ represents the angle between the drilling direction of the drilled well and the bedding plane of the formation.

[0095] Take a specific example to illustrate, as shown in Table 2, which indicates that wells A, B, and C are drilled wells belonging to the same first grid. The first rock drillability values ​​at two different well depths of well A are 6.22 and 6.18, respectively. The average value is 6.20 for the second rock drillability of well A. The angle between the drilling direction of the well section of well A and the bedding plane is 78°; the first rock drillability values ​​at two different well depths of well B are 5.83 and 5.92, respectively. The average value is 5.87 for the second rock drillability of well B. The angle between the drilling direction of the well section of well B and the bedding plane is 71°; the first rock drillability values ​​at two different well depths of well C are The second rock drillability values ​​of well B are 6.45 and 7.51 respectively. The average value is 6.52. The angle between the drilling direction of the well section and the bedding plane of well C is 83°. Using formula (2), the second rock drillability value and the angle between the drilling direction and the bedding plane of well A, the second rock drillability value and the angle between the drilling direction and the bedding plane of well B, and the second rock drillability value and the angle between the drilling direction and the bedding plane of well C are used to establish an equation group. The vertical bedding plane drillability value of the first grid where wells A, B and C are located is 66.719, and the rock drillability influencing factor of the first grid is -2.1381.

[0096] Table 2:

[0097]

[0098] In some optional embodiments, assigning a vertical bedding plane drillability value and a rock drillability influencing factor to a second grid in the target block based on the vertical bedding plane drillability value of the first grid includes:

[0099] A fuzzy clustering algorithm or a multiple spline interpolation method is used to assign the vertical bedding plane drillability value and the rock drillability influencing factor of the second grid. Of course, other algorithms can also be selected to assign the vertical bedding plane drillability value and the rock drillability influencing factor of the second grid, and the embodiment of the present invention does not limit this.

[0100] The assigned three-dimensional model is processed into data grids, abnormal data is checked and eliminated, and a three-dimensional rock drillability model is obtained. Since the heterogeneity of the formation rock is taken into account, the drillability of the rock when drilling in different directions can be calculated with higher calculation accuracy, such as Figure 6 shown.

[0101] The embodiment of the present invention uses engineering construction parameters such as the drilling speed of the drilled well to perform three-dimensional modeling of the drillability of the target block formation. This is more holistic than experimental data obtained from cores or outcrops, and the three-dimensional rock drillability model can be iteratively updated according to new drilling data, making it more practical.

[0102] In some optional embodiments, the method further includes:

[0103] The 3D geological model is calibrated based on the drilling and logging data of the target block. The 3D drillability of the formation is calibrated based on the optimized 3D formation model and the lithology conclusions given by the logging data, which can improve the accuracy of the 3D rock drillability model.

[0104] Example 2

[0105] The second embodiment of the present invention provides a three-dimensional formation drillability prediction method, the specific implementation process is as follows: Figure 7 As shown, the following steps are included:

[0106] Step S71: Obtaining the angle between the preset drilling direction of the well to be drilled in the target block and the stratigraphic plane;

[0107] According to the preset drilling trajectory of the well to be drilled in the target block and the stratum distribution characteristics of the 3D geological model, the angle θ between the drilling direction of the well to be drilled and the stratum bedding section is calculated in sections;

[0108] Step S72: According to the preset three-dimensional formation drillability model, the vertical bedding plane drillability value and rock drillability influencing factor corresponding to the grid where the well is to be drilled are obtained;

[0109] Step S73: Obtain the rock drillability value of the well to be drilled according to the vertical bedding plane drillability value and the rock drillability influencing factor and the angle.

[0110] The three-dimensional formation drillability model is obtained by the three-dimensional formation drillability modeling method as described above.

[0111] In the above step S73, the following formula can be used:

[0112] K=K0e a(1-sinθ) ; (3)

[0113] In the above formula, K represents the rock drillability value of the drilling position of the well to be drilled, K0 represents the drillability value of the vertical bedding plane corresponding to the grid where the well to be drilled is located, a represents the rock drillability influencing factor corresponding to the grid where the well to be drilled is located, and θ represents the angle between the drilling direction of the well to be drilled and the bedding plane of the formation, as shown in the figure: Figure 5-2 The figure shows the drillability of the lithology of the formation to be drilled along the preset drilling direction.

[0114] In some optional embodiments, after obtaining the drillability value of the rock to be drilled, the method further includes:

[0115] The engineering parameter values ​​of the well to be drilled are predicted based on the drillability value of the rock to be drilled.

[0116] If the rock drillability value at the drilling location is known, this data can more accurately reflect the actual drilling resistance of the rock. Since the engineering technology, downhole tools, and construction parameters used in the same block are relatively similar, the mechanical penetration rate of different well sections can be calculated based on the actual drilling direction according to the rock drillability calculation results. The obtained results can provide a basis for predicting the drilling cycle. According to the following formula, the engineering parameter values ​​of the well to be drilled can be predicted based on the rock drillability value:

[0117]

[0118] In the above formula, K′ represents the rock drillability value at different well depths, v represents the drilling speed, λ represents the rotational speed, D represents the drill bit diameter, W represents the bit weight, Q represents the displacement, T represents the torque, and m represents the number of blades.

[0119] This embodiment of the present invention quantitatively evaluates formation rock drillability by nondimensionalizing actual engineering parameters and taking into account practical drilling directions. This data accurately reflects the rock's actual drilling resistance. Given that the engineering technologies, downhole tools, and construction parameters used within the same wellbore are relatively similar, the drillability calculation results can be used to extrapolate the mechanical penetration rate (ROP) for different well sections. This result can provide a basis for predicting the remaining drilling period.

[0120] Based on the same inventive concept, the embodiment of the present invention also provides a three-dimensional formation drillability modeling device, the structure of which is as follows: Figure 8 As shown, including:

[0121] A division module 81 is used to perform grid division on the strata of the three-dimensional geological model corresponding to the target block;

[0122] A first acquisition module 82 is configured to acquire data on engineering parameters of drilled wells related to drillability, and calculate a vertical bedding plane drillability value and a rock drillability influencing factor for the first grid based on the data on engineering parameters of the drilled wells in the same first grid. The vertical bedding plane drillability value can represent the drillability of the rock in a direction perpendicular to the bedding plane.

[0123] An assignment module 83 is configured to assign a value to the vertical bedding plane drillability value and the rock drillability influencing factor of the second grid in the target block according to the vertical bedding plane drillability value of the first grid;

[0124] The first grid is a grid in the target block where drilling engineering data exists, and the second grid is a grid in the target block outside the first grid.

[0125] Regarding the three-dimensional formation drillability modeling device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method and will not be elaborated here.

[0126] Based on the same inventive concept, the embodiment of the present invention also provides a three-dimensional formation drillability prediction device, the structure of which is as follows: Figure 9 As shown, including:

[0127] The first acquisition module 91 is used to obtain the angle between the preset drilling direction of the well to be drilled in the target block and the stratigraphic plane;

[0128] The second acquisition module 92 is used to obtain the vertical bedding plane drillability value and rock drillability influencing factor corresponding to the grid where the well is to be drilled based on the preset three-dimensional formation drillability model;

[0129] Prediction module 93, for obtaining the rock drillability value of the well to be drilled based on the vertical bedding plane drillability value and the rock drillability influencing factor and angle;

[0130] The three-dimensional formation drillability model is obtained by the three-dimensional formation drillability modeling device as described above.

[0131] Regarding the three-dimensional formation drillability prediction device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method and will not be elaborated here.

[0132] Based on the same inventive concept, an embodiment of the present invention also provides a computing device, including: a memory, a processor, and a computer program stored in the memory and runnable on the processor. When the processor executes the program, a three-dimensional formation drillability modeling method as described above or a three-dimensional formation drillability prediction method as described above is implemented.

[0133] Based on the same inventive concept, an embodiment of the present invention also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements a three-dimensional formation drillability modeling method as described above or a three-dimensional formation drillability prediction method as described above.

[0134] Based on the same inventive concept, an embodiment of the present invention also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements a three-dimensional formation drillability modeling method as described above or a three-dimensional formation drillability prediction method as described above.

[0135] Unless otherwise specifically stated, terms such as process, calculate, compute, determine, display, and the like may refer to the actions and / or processes of one or more processing or computing systems, or similar devices, that manipulate and convert data represented as physical (e.g., electronic) quantities within registers or memories of a processing system into other data similarly represented as physical quantities within the memories, registers, or other such information storage, transmission, or display devices of the processing system. Information and signals may be represented using any of a variety of different techniques and methods. For example, data, instructions, commands, information, signals, bits, symbols, and chips referred to throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, light fields or particles, or any combination thereof.

[0136] It should be understood that the specific order or hierarchy of steps in the disclosed processes is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process can be rearranged without departing from the scope of the present disclosure. The accompanying method claims present elements of the various steps in an exemplary order and are not intended to be limited to the specific order or hierarchy described.

[0137] In the foregoing detailed description, various features are grouped together in a single embodiment to simplify the disclosure. This method of disclosure should not be interpreted as reflecting an intention that embodiments of the claimed subject matter require more features than are expressly recited in each claim. On the contrary, as reflected in the appended claims, the invention comprises less than all the features of any individual disclosed embodiment. The appended claims are therefore hereby expressly incorporated into the detailed description, with each claim standing on its own as a separate preferred embodiment of the invention.

[0138] Those skilled in the art will also appreciate that the various illustrative logic blocks, modules, circuits, and algorithmic steps described in conjunction with the embodiments herein may be implemented as electronic hardware, computer software, or a combination thereof. In order to clearly illustrate the interchangeability between hardware and software, the various illustrative components, blocks, modules, circuits, and steps described above are generally described around their functions. Whether such functions are implemented as hardware or software depends on the specific application and the design constraints imposed on the entire system. A skilled person may implement the described functions in an adaptable manner for each specific application, but such implementation decisions should not be interpreted as departing from the scope of protection of this disclosure.

[0139] The steps of the methods or algorithms described in conjunction with the embodiments herein may be directly embodied as hardware, software modules executed by a processor, or a combination thereof. The software module may be located in a RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, register, hard disk, removable disk, CD-ROM, or any other form of storage medium well known in the art. An exemplary storage medium is connected to the processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium may also be an integral part of the processor. The processor and storage medium may be located in an ASIC. The ASIC may be located in a user terminal. Of course, the processor and storage medium may also be present in a user terminal as discrete components.

[0140] For software implementation, the techniques described in this application can be implemented using modules (e.g., procedures, functions, etc.) that perform the functions described in this application. These software codes can be stored in a memory unit and executed by a processor. The memory unit can be implemented within the processor or external to the processor. In the latter case, it is communicatively coupled to the processor via various means, which are well known in the art.

[0141] The foregoing description includes examples of one or more embodiments. Of course, it is not possible to describe all possible combinations of components or methods for the purposes of describing the above embodiments, but one of ordinary skill in the art will recognize that the various embodiments may be further combined and arranged. Therefore, the embodiments described herein are intended to encompass all such changes, modifications and variations that fall within the scope of the appended claims. Furthermore, to the extent the term "comprising" is used in the specification or claims, the term is intended to be encompassed in a manner similar to the term "including," as explained in terms of "including," used as a transitional word in the claims. Furthermore, any use of the term "or" in the specification of the claims is intended to mean a "non-exclusive or."

Claims

1. A three-dimensional formation drillability modeling method, characterized in that: include: Gridding the strata of the three-dimensional geological model corresponding to the target block; Obtaining data on engineering parameters of a drilled well related to drillability, and calculating a vertical bedding plane drillability value and a rock drillability influencing factor for the first grid based on the data on the engineering parameters of the drilled well in the same first grid, wherein the vertical bedding plane drillability value can represent the drillability of the rock in a direction perpendicular to the bedding plane; assigning a vertical bedding plane drillability value and a rock drillability influencing factor to a second grid in the target block according to the vertical bedding plane drillability value of the first grid; The first grid is a grid in the target block where drilling engineering data exists, and the second grid is a grid in the target block other than the first grid; The data of the engineering parameters of the drilled wells in the first grid include data of at least two engineering parameters of the drilled wells; and the step of obtaining the data of the engineering parameters of the drilled wells related to drillability, and calculating the vertical bedding plane drillability value and the rock drillability influencing factor of the first grid based on the data of the engineering parameters of the drilled wells in the same first grid, includes: The first rock drillability value at different depths of each drilled well is calculated using the following formula: In the above formula, K′ represents the first rock drillability value at different well depths, v represents the drilling rate, λ represents the rotation speed, D represents the drill bit diameter, W represents the bit weight, Q represents the displacement, T represents the torque, and m represents the number of blades. Calculating an average of the first rock drillability values ​​at different well depths to obtain a second rock drillability value of the drilled well; Obtain the angle between the drilling direction of the well and the bedding plane of the formation; use the following formula to solve the vertical bedding plane drillability value and rock drillability influencing factor of the first grid: In the above formula, K represents the second rock drillability of the drilled well, K0 represents the drillability value perpendicular to the bedding plane, a is the rock drillability influencing factor, and θ represents the angle between the drilling direction of the drilled well and the bedding plane of the formation.

2. The method according to claim 1, wherein The assigning of a vertical bedding plane drillability value and a rock drillability influencing factor of a second grid in the target block according to the vertical bedding plane drillability value of the first grid includes: A fuzzy clustering algorithm or a multiple spline interpolation method is used to assign drillability values ​​of vertical bedding planes and rock drillability influencing factors of the second grid.

3. The method according to any one of claims 1 to 2, characterized in that Also includes: The three-dimensional geological model is calibrated according to the drilling and logging data of the target block.

4. A three-dimensional formation drillability prediction method, characterized in that: include: Obtaining the angle between the preset drilling direction of the well to be drilled in the target block and the stratigraphic plane; According to the preset three-dimensional formation drillability model, the vertical bedding plane drillability value and rock drillability influencing factor corresponding to the grid where the well is to be drilled are obtained; Obtaining a rock drillability value of a well to be drilled according to the vertical bedding plane drillability value, the rock drillability influencing factor, and the angle; The three-dimensional formation drillability model is obtained by the three-dimensional formation drillability modeling method according to any one of claims 1 to 3.

5. The method according to claim 4, wherein After obtaining the drillability value of the rock to be drilled, the following steps are also included: The engineering parameter values ​​of the well to be drilled are predicted based on the drillability value of the rock of the well to be drilled.

6. A three-dimensional formation drillability modeling device, characterized in that: include: A partitioning module is used to perform grid division on the strata of the three-dimensional geological model corresponding to the target block; A first acquisition module is configured to acquire data on engineering parameters of a drilled well related to drillability, and calculate a vertical bedding plane drillability value and a rock drillability influencing factor for the first grid based on the data on the engineering parameters of the drilled well in the same first grid, wherein the vertical bedding plane drillability value can represent the drillability of the rock in a direction perpendicular to the bedding plane; an assignment module, configured to assign a value to the vertical bedding plane drillability value and the rock drillability influencing factor of the second grid in the target block according to the vertical bedding plane drillability value of the first grid; The first grid is a grid in the target block where drilling engineering data exists, and the second grid is a grid in the target block other than the first grid; The data of the engineering parameters of the drilled wells in the first grid include data of at least two engineering parameters of the drilled wells; and the step of obtaining the data of the engineering parameters of the drilled wells related to drillability, and calculating the vertical bedding plane drillability value and the rock drillability influencing factor of the first grid based on the data of the engineering parameters of the drilled wells in the same first grid, includes: The first rock drillability value at different depths of each drilled well is calculated using the following formula: In the above formula, K′ represents the first rock drillability value at different well depths, v represents the drilling rate, λ represents the rotation speed, D represents the drill bit diameter, W represents the bit weight, Q represents the displacement, T represents the torque, and m represents the number of blades. Calculating an average of the first rock drillability values ​​at different well depths to obtain a second rock drillability value of the drilled well; Obtain the angle between the drilling direction of the well and the bedding plane of the formation; use the following formula to solve the vertical bedding plane drillability value and rock drillability influencing factor of the first grid: In the above formula, K represents the second rock drillability of the drilled well, K0 represents the drillability value perpendicular to the bedding plane, a is the rock drillability influencing factor, and θ represents the angle between the drilling direction of the drilled well and the bedding plane of the formation.

7. A three-dimensional formation drillability prediction device, characterized in that: include: The first acquisition module is used to obtain the angle between the preset drilling direction of the well to be drilled in the target block and the stratigraphic plane; The second acquisition module is used to obtain the vertical bedding plane drillability value and rock drillability influencing factor corresponding to the grid where the well is to be drilled based on a preset three-dimensional formation drillability model; A prediction module, configured to obtain a rock drillability value of a well to be drilled based on the vertical bedding plane drillability value, the rock drillability influencing factor, and the angle; The three-dimensional formation drillability model is obtained by the three-dimensional formation drillability modeling method according to any one of claims 1 to 3.

8. A computing device, characterized in that include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a three-dimensional formation drillability modeling method as described in any one of claims 1 to 3 or a three-dimensional formation drillability prediction method as described in any one of claims 4 to 5 is implemented.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, which, when executed by a processor, implements a three-dimensional formation drillability modeling method as described in any one of claims 1 to 3 or a three-dimensional formation drillability prediction method as described in any one of claims 4 to 5.

10. A computer program product, characterized in that The computer program product includes a computer program, which, when executed by a processor, implements a three-dimensional formation drillability modeling method as described in any one of claims 1 to 3 or a three-dimensional formation drillability prediction method as described in any one of claims 4 to 5.

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