Sedimentary facies depicting method

Abstract

The invention relates to a sedimentary facies depicting method, which comprises the following steps of: S1, acquiring three-dimensional seismic data of a research area and well logging information of a drilled well, and tracking top and bottom interfaces of a sand reservoir of the research area in combination with the three-dimensional seismic data and the well logging information; s2, according to the top interface and the bottom interface of the sand storage body, calculating sensitive seismic attributes of a sand storage body reservoir based on three-dimensional seismic data; s3, according to the sensitive seismic attributes of the reservoir of the sand storage body, obtaining the sensitive seismic attributes of the reservoir of the sand storage body and boundary information of a planar deposition system after primary optimization; s4, according to the sensitive seismic attributes of the reservoir strata of the sand storage bodies after the primary optimization treatment, obtaining the sensitive seismic attributes of the reservoir strata of the sand storage bodies after the secondary optimization treatment and the information of the main flow line of the river channel in the sedimentary system; and S5, according to the boundary information of the planar sedimentary system and the information of the main flow line of the river channel in the sedimentary system, obtaining a fine planar sedimentary facies in combination with the three-dimensional seismic data.

Description

Technical Field

[0001] The invention relates to the technical field of oil and gas exploration and development, and in particular to a method for constraining sedimentary phase characterization based on seismic attribute hierarchical optimization processing. Background Art

[0002] Sedimentary facies is the sum of sedimentary lithological characteristics, paleontological characteristics and geochemical characteristics. Sedimentary facies analysis is an important basic work in oil and gas exploration and development.

[0003] At present, the sedimentary phase analysis of existing technologies mainly adopts the "point-line-plane" research approach: first, single-well sedimentary phase analysis is carried out based on well cores and logging curves; secondly, well-connected profiles in the study area are selected to carry out inter-well sedimentary phase comparative analysis; finally, combined with seismic attributes and well-seismic analysis, the existing seismic attribute bodies are manually delineated based on geological knowledge to carry out planar sedimentary phase analysis.

[0004] However, the accuracy of sedimentary phase analysis by this method depends largely on the number of wells drilled in the study area and the researchers' experience in interpreting seismic attributes. In addition, manual mapping is overly dependent on the subjective judgment of technicians, which often results in low map accuracy and low sedimentary phase identification accuracy due to factors such as the small number of wells drilled, the small number of sampling points, and the uneven level of technicians. Under the conditions of sparse well networks in offshore oil and gas fields (the well spacing is generally greater than 1000m in the early stage, and can reach 200-500m in some places in the middle and late stages), it is difficult to meet the needs of offshore development using existing sedimentary phase analysis methods.

[0005] Therefore, it is necessary to make full use of 3D seismic data and well data to establish a more sophisticated sedimentary facies characterization method. Summary of the invention

[0006] In view of the above problems, the present invention provides a sedimentary facies characterization method, which can make full use of three-dimensional seismic data to carry out detailed characterization of sedimentary facies under offshore sparse well network conditions.

[0007] To achieve the above object, the present invention adopts the following technical solutions:

[0008] In a first aspect, the present application provides a deposition phase characterization method, the method comprising:

[0009] S1, obtaining three-dimensional seismic data and well logging data of the wells that have been drilled in the study area, and tracing the top and bottom interfaces of the reservoir sand body in the study area by combining the three-dimensional seismic data and the well logging data;

[0010] S2, according to the top and bottom interfaces of the reservoir sand body, obtaining the sensitive seismic attributes of the reservoir sand body based on the three-dimensional seismic data;

[0011] S3, obtaining the sensitive seismic attributes of the reservoir sand body and the boundary information of the plane sedimentary system after primary optimization processing according to the sensitive seismic attributes of the reservoir sand body;

[0012] S4, obtaining the sensitive seismic attributes of the reservoir sand body and reservoir after the secondary optimization process and the information of the main stream line of the river channel inside the sedimentary system according to the sensitive seismic attributes of the reservoir sand body and reservoir after the primary optimization process;

[0013] S5, obtaining a fine planar sedimentary facies according to the planar sedimentary system boundary information, the main stream line information of the river channel inside the sedimentary system, and the three-dimensional seismic data.

[0014] In one implementation, the S2 includes:

[0015] Extract seismic attributes based on 3D seismic data, using the reservoir top and bottom interfaces interpreted by 3D seismic data tracking as constraints;

[0016] Based on the geological stratification corresponding to the reservoir top and bottom interfaces and the interaction between wells and seismic data, the thickness of the drilled reservoir sand bodies is calculated;

[0017] According to the aforementioned extracted seismic attributes and the statistically analyzed thickness of the reservoir sand bodies, a correlation analysis is performed on the seismic attributes and the thickness of the reservoir sand bodies, and sensitive seismic attributes of the reservoir sand bodies are selected.

[0018] In one implementation, S3 includes:

[0019] According to the selected reservoir sand body sensitive seismic attributes, the reservoir sand body reservoir sensitive seismic attributes of the primary optimization processing are obtained;

[0020] According to the sensitive seismic attributes of the reservoir sand body after primary optimization, the maximum curvature of the sensitive seismic attributes of the reservoir sand body after optimization is obtained;

[0021] According to the optimized reservoir sand body reservoir sensitive seismic attributes and the maximum curvature of the reservoir sand body reservoir sensitive seismic attributes, a superposition diagram of the primary optimized reservoir sand body reservoir sensitive seismic attributes and the maximum curvature is prepared;

[0022] Delineate the boundary of the target layer sedimentary system.

[0023] In one implementation, in S4, the following steps are included:

[0024] According to the selected reservoir sand body sensitive seismic attributes, the reservoir sand body reservoir sensitive seismic attributes of the secondary optimization processing are obtained;

[0025] According to the sensitive seismic attributes of the reservoir sand body after the secondary optimization, the maximum curvature of the sensitive seismic attributes of the reservoir sand body after the secondary optimization is obtained;

[0026] Produce a superposition diagram of sensitive seismic attributes and maximum curvature of the reservoir sand body after secondary optimization;

[0027] Delineate the main stream of the river channel within the target layer sedimentary system.

[0028] In one implementation, the primary optimization process includes:

[0029] According to the selected reservoir sand body sensitive seismic attributes, a first smoothing parameter set is set to perform smoothing processing on the reservoir sand body sensitive seismic attributes, so as to obtain a series of processed reservoir sand body sensitive seismic attributes;

[0030] According to geological knowledge, the sensitive seismic attributes of reservoir sand bodies after smoothing are compared and analyzed, and the seismic attributes that can reflect the planar distribution of the sedimentary system are selected as the sensitive seismic attributes of reservoir sand bodies for primary optimization.

[0031] In one implementation, the secondary optimization process includes:

[0032] According to the selected reservoir sand body sensitive seismic attributes, a second smoothing parameter set is set to perform smoothing processing on the reservoir sand body sensitive seismic attributes, and a series of processed reservoir sand body sensitive seismic attributes are obtained, wherein the value of the second smoothing parameter set is smaller than the first smoothing parameter set;

[0033] According to geological knowledge, the sensitive seismic attributes of the reservoir sand bodies after smoothing were compared and analyzed, and the seismic attributes that can reflect the planar distribution of the river channels inside the sedimentary system were selected as the sensitive seismic attributes of the reservoir sand bodies for secondary optimization.

[0034] In one implementation, S5 includes:

[0035] According to the boundary of the target layer sedimentary system and the mainstream of the river channel in the target layer sedimentary system, a superposition map of the sensitive seismic attributes of the reservoir sand body, the boundary of the target layer sedimentary system and the mainstream of the river channel in the sedimentary system after secondary optimization is prepared;

[0036] Calibrate seismic attributes based on actual drilling results of the wells that have been drilled;

[0037] Delineate the detailed planar sedimentary facies.

[0038] In a second aspect, a computer-readable storage medium is provided, storing a computer program, wherein the computer program is executed by a processor to control a device where the processor is located to implement the deposition phase characterization method described in the first aspect.

[0039] In a third aspect, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the deposition phase characterization method described in the first aspect is implemented when the processor executes the computer program.

[0040] The present invention discloses a method for fine characterization of sedimentary phases constrained by hierarchical optimization of seismic attributes. It uses three-dimensional seismic data, well-seismic combination, tracking and interpreting the top and bottom interfaces of reservoir sand bodies, combining the actual drilling sand body thickness, analyzing the reservoir sensitive seismic attributes, based on the reservoir seismic sensitive attributes after hierarchical optimization, with the sedimentary system boundary and the mainstream of the river channel inside the sedimentary system as constraints, combined with the actual drilling well logging phase analysis, the sedimentary phase is finely characterized, and then the development well network deployment and optimization are guided, providing important technical support for the efficient development of underground oil and gas reservoirs and the adjustment of the plan. In addition, it also has the following advantages:

[0041] (1) Adopting the research idea of ​​hierarchical analysis, firstly, based on the sensitive seismic attributes of the reservoir sand body and reservoir layer after primary optimization, the boundary of the sedimentary system is determined to complete the first-level sedimentary facies analysis; then, combined with the sensitive seismic attributes of the reservoir sand body and reservoir layer after secondary optimization, the second-level characterization of the main stream of the river channel inside the sedimentary system is completed; finally, with the boundary of the sedimentary system and the main stream of the river channel inside the sedimentary system as constraints, combined with the information of the drilled single well phase, a detailed sedimentary facies is compiled. This not only adapts to the complex sedimentary laws of the internal configuration level of the fluvial facies reservoir, but also improves the accuracy of the qualitative characterization of the reservoir connectivity.

[0042] (2) The well-seismic combined analysis method is used to fully utilize the rich three-dimensional seismic information to constrain the detailed characterization of sedimentary facies, which makes up for the shortcomings of the sedimentary facies detailed characterization analysis method based mainly on well information under sparse offshore well network conditions, effectively reduces the uncertainty of sedimentary facies analysis, and at the same time improves the prediction efficiency of sedimentary facies analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 A flow chart of a technology for fine characterization of sedimentary phases constrained by hierarchical optimization processing of seismic attributes provided in an embodiment of the present invention;

[0044] Figure 2 A schematic diagram of the top and bottom interfaces of a reservoir sand body tracked and interpreted based on three-dimensional seismic data provided by an embodiment of the present invention;

[0045] Figure 3 The embodiment of the present invention provides a plan view of reservoir sensitive seismic attributes based on three-dimensional seismic data;

[0046] Figure 4 The reservoir sensitive seismic attributes, seismic attribute change rates and sedimentary system boundary plane diagrams of the primary optimization processing provided by the embodiment of the present invention;

[0047] Figure 5 The plane diagram of reservoir sensitive seismic attributes, seismic attribute change rate and the main stream line of the river channel inside the sedimentary system according to the secondary optimization process provided by the embodiment of the present invention;

[0048] Figure 6A detailed deposition phase plane diagram provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the present invention.

[0050] In view of the defects and problems of the prior art, the present application provides a deposition phase characterization method, the method comprising:

[0051] S1, obtaining three-dimensional seismic data and well logging data of the wells that have been drilled in the study area, and tracing the top and bottom interfaces of the reservoir sand body in the study area by combining the three-dimensional seismic data and the well logging data;

[0052] S2, according to the top and bottom interfaces of the reservoir sand body, obtaining the sensitive seismic attributes of the reservoir sand body based on the three-dimensional seismic data;

[0053] S3, obtaining the sensitive seismic attributes of the reservoir sand body and the boundary information of the plane sedimentary system after primary optimization processing according to the sensitive seismic attributes of the reservoir sand body;

[0054] S4, obtaining the sensitive seismic attributes of the reservoir sand body and reservoir after the secondary optimization process and the information of the main stream line of the river channel inside the sedimentary system according to the sensitive seismic attributes of the reservoir sand body and reservoir after the primary optimization process;

[0055] S5, obtaining a fine planar sedimentary facies according to the planar sedimentary system boundary information, the main stream line information of the river channel inside the sedimentary system, and the three-dimensional seismic data.

[0056] The above primary optimization process includes:

[0057] According to the selected reservoir sand body sensitive seismic attributes, relatively large different smoothing parameter values ​​are set to perform smoothing processing on the reservoir sand body sensitive seismic attributes, so as to obtain a series of processed reservoir sand body sensitive seismic attributes;

[0058] According to geological knowledge, the sensitive seismic attributes of reservoir sand bodies after smoothing are compared and analyzed, and the seismic attributes that can reflect the planar distribution of the sedimentary system are selected as the sensitive seismic attributes of reservoir sand bodies in the primary optimization treatment.

[0059] Secondary optimization processing, including:

[0060] According to the selected reservoir sand body sensitive seismic attributes, different smaller second smoothing parameter values ​​are set to perform smoothing processing on the reservoir sand body sensitive seismic attributes, so as to obtain a series of processed reservoir sand body sensitive seismic attributes;

[0061] According to geological knowledge, the sensitive seismic attributes of reservoir sand bodies after smoothing are compared and analyzed, and the seismic attributes that can reflect the planar distribution of the river channel inside the sedimentary system are selected as the sensitive seismic attributes of the reservoir sand body reservoir for secondary optimization.

[0062] The above method flow is described in more detail in the following embodiments in conjunction with the accompanying drawings of the present invention.

[0063] Example 1

[0064] Example 1 provides a method for fine characterization of sedimentary facies by hierarchical optimization of seismic attributes, such as Figure 1 As shown, the following steps are included:

[0065] Step A, using 3D seismic data, combining well and seismic data, and interactively tracking and interpreting the top and bottom interfaces of the reservoir sand body;

[0066] Depend on Figure 2 It can be seen that based on the 3D seismic data, the top and bottom interfaces of the target reservoir sand body are tracked and interpreted.

[0067] Step B, obtaining the sensitive seismic attributes of the reservoir sand body based on the 3D seismic data, the specific steps are as follows:

[0068] Step B1: Taking SQ4 as an example, taking the top and bottom interfaces of the SQ4 reservoir sand body as the seismic time window, extracting the reservoir seismic attributes of SQ4 based on 3D seismic data;

[0069] Step B2: Using the top and bottom interfaces of the SQ4 reservoir sand body interpreted by tracing as constraints, the actual drilling sand body thickness is counted;

[0070] Step B3: Perform correlation analysis on the seismic attributes extracted by SQ4 and the reservoir thickness, select reservoir-sensitive seismic attributes, and calibrate the attributes in combination with the actual drilling reservoir thickness;

[0071] Depend on Figure 3 It can be seen that the SQ4 reservoir is distributed in a northwest-southeast direction as a whole, mainly in the central and northern parts of the study area, among which the reservoirs in the north are more developed.

[0072] Step C, based on the initial reservoir sensitive attributes, obtains the reservoir sensitive seismic attributes and plane sedimentary system boundary information of the primary optimized sand body reservoir, and the specific steps are as follows:

[0073] Step C1: according to the initial reservoir sand body sensitive seismic attributes obtained in step B3, the initial reservoir sand body sensitive seismic attributes are smoothed by using appropriate smoothing parameters to obtain the primary optimized reservoir sand body reservoir sensitive seismic attributes;

[0074] Step C2: Calculate the maximum curvature of the reservoir sand body reservoir sensitive seismic attribute processed by the SQ4 primary optimization process, and obtain the change rate of the reservoir sensitive seismic attribute;

[0075] Step C3: Optimize the change rate of the sensitive seismic attributes of the SQ4 reservoir to obtain the boundary information of the plane sedimentary system;

[0076] Step C4: Based on the SQ4 plane sedimentary system boundary information, the reservoir sand body reservoir sensitive seismic attributes and sedimentary system boundary information of the SQ4 primary optimization processing are prepared, and the SQ4 sedimentary system boundary is outlined.

[0077] Depend on Figure 4 It can be seen that during the SQ4 period, four fan delta sedimentary bodies extending in a nearly NW-SE direction were developed, and sheet sand and distal sand bar deposits were developed at the front end of the fan delta sedimentary bodies.

[0078] Step D, based on the initial reservoir sensitive attributes, obtains the secondary optimized reservoir sand body reservoir sensitive seismic attributes and the main stream line information of the internal river channel of the sedimentary system, and the specific steps are as follows:

[0079] Step D1: according to the initial reservoir sand body sensitive seismic attributes obtained in step B3, the initial reservoir sand body sensitive seismic attributes are smoothed by using appropriate smoothing parameters to obtain the secondary optimized reservoir sand body reservoir sensitive seismic attributes;

[0080] Step D2: Calculate the maximum curvature of the reservoir sand body reservoir sensitive seismic attribute processed by SQ4 secondary optimization, and obtain the change rate of the reservoir sensitive seismic attribute;

[0081] Step D3: Optimize the change rate of the sensitive seismic attributes of the SQ4 reservoir to obtain the internal channel boundary information of the sedimentary system;

[0082] Step D4: Based on the internal channel boundary information of the SQ4 depositional system, the reservoir sensitive seismic attributes, depositional system and internal channel boundary information of the SQ4 secondary optimized reservoir sand body are prepared, and the main stream line of the internal channel of the SQ4 depositional system is outlined.

[0083] Depend on Figure 5 It can be seen that during the SQ4 period, four fan delta sedimentary bodies developed in a NW-SE direction. Multiple branch channels were developed inside each fan delta sedimentary body, and sheet sand and distal sand bar deposits were developed at the front end of the fan delta sedimentary body.

[0084] Step E: combining well and seismic data to obtain fine planar sedimentary facies. The specific steps are as follows:

[0085] Step E1: Based on the analysis results of steps C4 and D4, a superimposed map of sensitive seismic attributes of the reservoir sand body after secondary optimization, the boundary of the target layer sedimentary system, and the main stream line of the river channel inside the sedimentary system is prepared;

[0086] Step E2: Based on the analysis results of step E1, calibrate the seismic attributes according to the actual drilling results;

[0087] Step E3: Based on the analysis results of step E2, the well and seismic data are combined to draw a detailed planar sedimentary facies.

[0088] Depend on Figure 6 It can be seen that the four fan delta sedimentary bodies developed in the SQ4 period are distributed in a nearly northwest-southeast direction. Multiple branch channels are developed inside each fan delta sedimentary body, lacustrine mudstone is developed between each fan delta sedimentary body, and lacustrine mudstone, sheet sand and distal sand bar deposits are developed at the front end of the fan delta sedimentary body.

[0089] In the several embodiments provided by the present invention, it should be understood that the disclosed method can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the above units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0090] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (Processor) to perform some steps of the above-mentioned method of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0091] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for characterizing a sedimentary phase, characterized in that: The method comprises: S1, obtaining three-dimensional seismic data and well logging data of the wells that have been drilled in the study area, and tracing the top and bottom interfaces of the reservoir sand body in the study area by combining the three-dimensional seismic data and the well logging data; S2, according to the top and bottom interfaces of the reservoir sand body, obtaining the sensitive seismic attributes of the reservoir sand body based on the three-dimensional seismic data; S3, obtaining the sensitive seismic attributes of the reservoir sand body and the boundary information of the plane sedimentary system after primary optimization processing according to the sensitive seismic attributes of the reservoir sand body; S4, obtaining the sensitive seismic attributes of the reservoir sand body and reservoir after the secondary optimization process and the information of the main stream line of the river channel inside the sedimentary system according to the sensitive seismic attributes of the reservoir sand body and reservoir after the primary optimization process; S5, obtaining a fine planar sedimentary facies according to the planar sedimentary system boundary information, the main stream line information of the river channel inside the sedimentary system, and the three-dimensional seismic data.

2. The deposition phase characterization method according to claim 1, characterized in that: The S2 includes: Extract seismic attributes based on 3D seismic data, using the reservoir top and bottom interfaces interpreted by 3D seismic data tracking as constraints; Based on the geological stratification corresponding to the reservoir top and bottom interfaces and the interaction between wells and seismic data, the thickness of the drilled reservoir sand bodies is calculated; According to the aforementioned extracted seismic attributes and the statistically analyzed thickness of the reservoir sand bodies, a correlation analysis is performed on the seismic attributes and the thickness of the reservoir sand bodies, and sensitive seismic attributes of the reservoir sand bodies are selected.

3. The deposition phase characterization method according to claim 2, characterized in that: In S3, this includes: According to the selected reservoir sand body sensitive seismic attributes, the reservoir sand body reservoir sensitive seismic attributes of the primary optimization processing are obtained; According to the sensitive seismic attributes of the reservoir sand body after primary optimization, the maximum curvature of the sensitive seismic attributes of the reservoir sand body after optimization is obtained; According to the optimized reservoir sand body reservoir sensitive seismic attributes and the maximum curvature of the reservoir sand body reservoir sensitive seismic attributes, a superposition diagram of the primary optimized reservoir sand body reservoir sensitive seismic attributes and the maximum curvature is prepared; Delineate the boundary of the target layer sedimentary system.

4. The deposition phase characterization method according to claim 3, characterized in that: In S4, it includes: According to the selected reservoir sand body sensitive seismic attributes, the reservoir sand body reservoir sensitive seismic attributes of the secondary optimization processing are obtained; According to the sensitive seismic attributes of the reservoir sand body after the secondary optimization, the maximum curvature of the sensitive seismic attributes of the reservoir sand body after the secondary optimization is obtained; Produce a superposition diagram of sensitive seismic attributes and maximum curvature of the reservoir sand body after secondary optimization; Delineate the main stream of the river channel within the target layer sedimentary system.

5. The deposition phase characterization method according to claim 4, characterized in that: The primary optimization process includes: According to the selected reservoir sand body sensitive seismic attributes, a first smoothing parameter set is set to perform smoothing processing on the reservoir sand body sensitive seismic attributes, so as to obtain a series of processed reservoir sand body sensitive seismic attributes; According to geological knowledge, the sensitive seismic attributes of reservoir sand bodies after smoothing are compared and analyzed, and the seismic attributes that can reflect the planar distribution of the sedimentary system are selected as the sensitive seismic attributes of reservoir sand bodies for primary optimization.

6. The deposition phase characterization method according to claim 5, characterized in that: The secondary optimization process comprises: According to the selected reservoir sand body sensitive seismic attributes, a second smoothing parameter set is set to perform smoothing processing on the reservoir sand body sensitive seismic attributes, and a series of processed reservoir sand body sensitive seismic attributes are obtained, wherein the value of the second smoothing parameter set is smaller than the first smoothing parameter set; According to geological knowledge, the sensitive seismic attributes of the reservoir sand bodies after smoothing were compared and analyzed, and the seismic attributes that can reflect the planar distribution of the river channels inside the sedimentary system were selected as the sensitive seismic attributes of the reservoir sand bodies for secondary optimization.

7. The deposition phase characterization method according to claim 4, characterized in that: In S5, it includes: According to the boundary of the target layer sedimentary system and the mainstream of the river channel in the target layer sedimentary system, a superposition map of the sensitive seismic attributes of the reservoir sand body, the boundary of the target layer sedimentary system and the mainstream of the river channel in the sedimentary system after secondary optimization is prepared; Calibrate seismic attributes based on actual drilling results of the wells that have been drilled; Delineate the detailed planar sedimentary facies.

8. A computer-readable storage medium, characterized in that: A computer program is stored, and the computer program is executed by a processor to control the device where the processor is located to implement the deposition phase characterization method described in any one of claims 1 to 7.

9. A computer device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the deposition phase characterization method according to any one of claims 1 to 7 when executing the computer program.

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