A beach facies dolostone distribution prediction method based on geology-geophysical analysis

Abstract

The present application relates to the geological exploration and oil and gas exploration technical field, specifically relates to a kind of based on geology-geophysical analysis's beach facies dolomite distribution prediction method.The present application first obtains the vertical development characteristics of dolomite in target interval of single well in study area, then determines the vertical seismic reflection characteristics of dolomite, carries out forward modeling on the basis of the vertical seismic reflection characteristics of single well, obtains the lateral seismic reflection characteristics of single well, then different lithology is decomposed by waveform decomposition technology, finally, by comparing waveform component and the vertical development favorable facies zone single well geology and seismic reflection characteristics, the distribution of dolomite is determined.The identification method provided by the present application is not only simple to operate, and in the distribution of dolomite reservoir which is difficult to accurately identify under conventional seismic data, the distribution of dolomite reservoir of different types, different thicknesses and different development positions can be quickly identified, which provides reliable basis for the exploration and development of beach facies dolomite gas reservoir.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of geological exploration and oil and gas exploration, and particularly relates to a beach facies dolomite distribution prediction method based on geological-geophysical analysis. BACKGROUND

[0002] The porosity dolomite reservoir of the Middle Permian Xixia Formation in the Sichuan Basin has remarkable oil and gas results, mainly distributed in the northwest, west and central Sichuan Basin, and becomes an important target layer series for increasing reserves and production in the Sichuan Basin. However, the reservoir is deep-buried, thin, various types and strong heterogeneity, and the seismic response characteristics and planar distribution law of different types of reservoirs are unclear. In particular, the dolomite, dolomitic limestone or calcitic dolomite reservoirs are developed in the south Sichuan Basin, and the thin-layer dolomite, dolomitic limestone or calcitic dolomite is distributed in interbedded form, so that it is difficult to identify the high-quality dolomite reservoir, which restricts the next step of oil and gas exploration.

[0003] After a large amount of geological research on the dolomite reservoir of the Middle Permian Xixia Formation in the south Sichuan Basin, the researchers confirmed that the carbonate rock gentle slope sedimentary pattern of the Xixia Formation is controlled by the central Sichuan paleo-uplift, and the platform margin beach, intra-platform beach and inter-beach facies belts are developed around the paleo-uplift. The dolomite reservoir is controlled by the paleo-landform high ground, and the high-quality dolomite reservoir is formed by superimposed dolomitization and dissolution. However, the seismic research is relatively weak, and the previous studies only focused on the seismic response characteristics of the dolomite reservoirs in different development positions, and did not effectively distinguish the different types, different thicknesses and different development positions of the dolomite, dolomitic limestone or calcitic dolomite reservoirs. It is difficult to predict the distribution law of the high-quality dolomite reservoir in different sedimentary facies belts around the paleo-uplift, thereby affecting the exploration and development of the dolomite gas reservoir of the Xixia Formation.

[0004] Therefore, under the conditions of different sedimentary facies belts, different lithologies, different thicknesses and different development positions, it is very difficult to accurately identify the distribution law of the beach facies dolomite reservoir in the study area. SUMMARY

[0005] In order to solve the above-mentioned shortcomings and deficiencies, the purpose of the present application is to provide a beach facies dolomite distribution prediction method based on geological-geophysical analysis, which can accurately identify the distribution of the beach facies dolomite reservoir of the Xixia Formation in the study area, and the identification method provided by the present application is simple and has high identification accuracy.

[0006] In order to achieve the above-mentioned application purpose, the present application provides the following technical scheme:

[0007] A beach facies dolomite distribution prediction method based on geological-geophysical analysis, comprising the following steps:

[0008] S1, obtaining dolomite longitudinal development characteristics of a target layer section of a single well in a study area;

[0009] S2, obtaining single well longitudinal seismic reflection characteristics through calibration of the longitudinal development characteristics by means of drilling-seismic synthetic records;

[0010] S3, establishing forward models of different development positions, different thicknesses and different lithological combination characteristics, and performing forward simulation on the basis of the single well longitudinal seismic reflection characteristics to obtain single well lateral seismic reflection characteristics;

[0011] S4, decomposing target layer section seismic data volume by means of waveform decomposition technology to obtain waveform components, and giving the waveform components geological implications based on the single well longitudinal seismic reflection characteristics and the single well lateral seismic reflection characteristics and the dolomite longitudinal development characteristics;

[0012] S5, based on the planar distribution characteristics of the waveform components or the planar distribution characteristics of a plurality of waveform components, and comparing with planar distribution trends of favorable facies of the dolomite development in the carbonate rock beach facies in the study area, the dolomite distribution in the study area is determined.

[0013] As a preferred scheme of the present application, in the step S1 of the dolomite distribution prediction method based on geological-geophysical analysis, the specific method for obtaining the dolomite longitudinal development characteristics of the target layer section of the single well in the study area is as follows: using field geological outcrops and single well data including element logging in the study area, establishing single well dolomite discrimination criteria based on element content ratios of different development sections in the element logging data, and determining lithological combination characteristics of the single well dolomite in different longitudinal development positions and thicknesses thereof according to the discrimination criteria.

[0014] As a preferred scheme of the present application, in the step S1 of the dolomite distribution prediction method based on geological-geophysical analysis, the single well data used for establishing the single well dolomite discrimination criteria further include drilling cores, cuttings, rock slices, electrical logging curves and element logging.

[0015] As a preferred scheme of the present application, in the step S2 of the dolomite distribution prediction method based on geological-geophysical analysis, the specific steps for obtaining the single well longitudinal seismic reflection characteristics through calibration of the drilling-seismic synthetic records are as follows: using the drilling-seismic synthetic records to calibrate the positions of the single well dolomite development sections in the seismic profile, matching the dolomite longitudinal development characteristics at the positions with seismic reflection characteristics shown by the seismic profile, so as to determine the single well longitudinal seismic reflection characteristics corresponding to the dolomite longitudinal development characteristics.

[0016] As a preferred scheme of the present application, in step S3, the specific steps of establishing the forward model and the forward simulation are: using more than one single well to establish the forward model, including the statistical data of the longitudinal development characteristics of the dolomite in different development positions, different thicknesses, different lithological combinations, and different velocities and densities; based on the longitudinal seismic reflection characteristics of the single well, simulating the changes of the seismic response characteristics in different longitudinal positions, summarizing and comparing the differences of the seismic response characteristics, and determining the lateral seismic reflection characteristics of the single well.

[0017] As a preferred scheme of the present application, in step S4, the specific steps of using the waveform decomposition technology to decompose the seismic data volume of the target layer section, obtaining the waveform components, and giving the waveform components geological meanings based on the seismic reflection characteristics of the single well are: using the seismic wavelet decomposition technology to decompose the three-dimensional seismic data volume into different frequency seismic wavelet sets, then screening and classifying different wavelets through the main frequency of the wavelet, thereby extracting the waveform component information related to the target layer section, and then statistically classifying the waveform component information according to the energy size and comparing it with the seismic reflection characteristics of the single well, if they are consistent, then giving the waveform component the dolomite development characteristics of the single well based on the longitudinal development characteristics of the dolomite and the seismic reflection characteristics of the single well.

[0018] As a preferred scheme of the present application, in step S5, the specific steps are: obtaining the waveform component prediction results from the plane attributes of the waveform components and the combined waveform components, wherein the prediction results include the plane distribution of the dolomite of different types, different thicknesses, and different positions, comparing the prediction results with the plane distribution characteristics of the favorable facies belt of the carbonate rock beach dolomite development in the study area, if the results are consistent, then the waveform component prediction results are reliable, and the dolomite distribution can be determined.

[0019] As a preferred scheme of the present application, in step S5, the specific steps of obtaining the favorable facies belt of the carbonate rock beach dolomite development in the study area are: obtaining the background of the carbonate rock beach deposition, the paleogeomorphology, the seismic facies, and the fracture development characteristics in the study area, fusing the plane attributes of the paleogeomorphology, the seismic facies, and the fracture development characteristics, combining the background of the beach deposition and the actual drilling situation to obtain the plane distribution trend of the favorable facies belt of the dolomite development, wherein the carbonate rock beach deposition facies belt is determined from the seismic facies distribution, and the dolomite development degree is controlled by the paleogeomorphology, the low, and the fracture size.

[0020] As a preferred scheme of the present application, in step S5, the prediction result is compared with the planar distribution characteristics of the favorable facies belt of the carbonate rock beach facies dolomite development in the research area, and the specific steps are as follows: if the dolomite development area of different types, different thicknesses and different positions displayed by the waveform component prediction result is consistent with the planar distribution trend of the favorable facies belt including the dolomite type and the dolomite thickness of each region, it is determined that the waveform component prediction result is reliable.

[0021] Based on the same concept, a geological-geophysical analysis-based beach facies dolomite distribution prediction device is also proposed, which comprises at least one processor and a memory in communication connection with the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute any one of the above-mentioned geological-geophysical analysis-based beach facies dolomite distribution prediction methods.

[0022] Compared with the prior art, the present application has the following advantages:

[0023] 1. The present application establishes forward models of different types, different thicknesses and different development positions, and uses the forward simulation results to assist in judging the development of dolomite, effectively distinguishes reservoirs of different types, different thicknesses of dolomite, dolomitic limestone or calcitic dolomite, and has higher distinction accuracy.

[0024] 2. Conventional seismic data is difficult to accurately identify the distribution of thin-layer beach facies dolomite reservoirs, and the present application uses a three-dimensional seismic data body and utilizes waveform decomposition technology, combined with single-well geological and geophysical feature analysis, to quickly and accurately identify the dolomite distribution in the dolomite and limestone interbedded sedimentary area.

[0025] 3. The present application quickly identifies the dolomite distribution and determines the dolomite development favorable area, which is a development favorable area determined by combining structure, source rock, sedimentation, reservoir, hydrocarbon charging and preservation conditions, and on this basis, drilling is deployed to improve the dolomite drilling success rate and provide guarantee for oil and gas scale reservoir increase. BRIEF DESCRIPTION OF DRAWINGS

[0026] Figure 1 Figure 1 is a flowchart of a geological-geophysical analysis-based beach facies dolomite reservoir prediction method according to an embodiment of the present application.

[0027] Figure 2 Figure 2 is a drilling-seismic synthetic record calibration graph of the dolomite and dolomitic limestone development segment of P1 and J1 wells in embodiment 1.

[0028] Figure 3 Figure 3 is a connected well seismic profile graph of P1 and J1 wells in embodiment 1.

[0029] Figure 4 The forward model and simulation diagram of wells P1 and J1 in Example 1;

[0030] Figure 5 The waveform component profile and plan view are shown in Example 1;

[0031] Figure 6 This is a planar diagram showing the conventional seismic properties and wave impedance inversion in Example 1;

[0032] Figure 7 Example 1: Seismic facies, paleogeography, fracture prediction, and planar attribute fusion diagram;

[0033] Figure 8 This is a plan view of the favorable area for dolomite development in Example 1. Detailed Implementation

[0034] The present invention will now be described in detail with reference to the accompanying drawings.

[0035] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0036] Example 1

[0037] like Figure 1 The diagram shows a flowchart of a method for predicting shoal dolomite reservoirs based on geological-geophysical analysis. The specific steps are as follows:

[0038] S1, to obtain the vertical development characteristics of dolomite in the target stratum of a single well in the study area;

[0039] Specifically, a single-well dolomite discrimination standard was established using geological outcrops in the field and single-well data within the study area. Based on the discrimination standard, the dolomite developed in the target strata and its proportion were determined, and the thickness and lithological combination characteristics of the single-well dolomite at different vertical development locations were determined.

[0040] Furthermore, the specific steps for establishing single-well dolomite identification criteria using drilling cores, cuttings, thin sections of rock, electrical logging curves, and elemental logging are as follows: conduct lithological analysis on at least one of the drilling cores, cuttings, thin sections of rock, electrical logging curves, and elemental logging data from the drilled P1 and J1 wells to establish lithological identification criteria for carbonate rocks.

[0041] Furthermore, the electrical logging curves include GR, AC, ρ, RD, RS, etc. The dolomite reservoir section generally exhibits the characteristics of low GR, low ρ, low RD, low RS, and high AC. Based on the electrical logging curve characteristics of the dolomite reservoir section, the single-well dolomite identification criteria are completed.

[0042] Further, the element logging data includes Ca, Mg, Si elements, and the lithology combination characteristics are obtained by analyzing the content changes of Ca, Mg, Si elements, and there are pure dolomite segments, pure limestone segments, dolomitic limestone or calcitic dolomite, wherein the Mg content of the pure dolomite segment is between 11% and 13%, the Ca content is between 21% and 23%, the Mg content of the pure limestone segment is between 0% and 1%, the Ca content is between 38% and 40%, the Mg content of the dolomitic limestone or calcitic dolomite is between 1% and 11%, the Ca content is between 23% and 38%, and the Si content changes are all between 0% and 2.5%, so as to complete the single well dolomite discrimination standard according to the element content characteristics of the dolomite reservoir segment as a whole.

[0043] Further, according to the single well dolomite discrimination standard, the longitudinal development position, thickness and lithology combination characteristics of the P1 and J1 single wells are determined, such as Figure 2 shown in the single well columnar chart, the P1 well develops a 39m thick pure dolomite, and the J1 well develops a 30m thick dolomitic limestone or calcitic dolomite interbed.

[0044] S2, the single well longitudinal seismic reflection characteristics are obtained by calibrating the longitudinal development characteristics through the drilling-seismic synthetic record;

[0045] Specifically, according to the existing three-dimensional seismic data, the drilling-seismic synthetic record is used to calibrate the position of the dolomite development segment of the P1 and J1 wells in the seismic profile, and the drilling-seismic synthetic record calibration chart is shown in FIG. Figure 2 Then, according to the development positions of the two kinds of lithology in the seismic profile, the seismic reflection characteristics of the pure dolomite and the dolomitic limestone or calcitic dolomite are respectively determined, and the seismic reflection characteristics are shown in FIG. Figure 2 The P1 well develops a 39m thick pure dolomite, and the seismic reflection characteristics generally show strong peak reflection, while the J1 well develops a 30m thick dolomitic limestone or calcitic dolomite, and the seismic reflection characteristics generally show medium-strong peak reflection.

[0046] S3, the forward modeling is performed on the basis of the single well longitudinal seismic reflection characteristics to obtain the single well lateral seismic reflection characteristics;

[0047] Specifically, the seismic response characteristics of the thin dolomite, dolomitic limestone or calcitic dolomite in the existing seismic data are similar, therefore, the forward modeling of the dolomite, dolomitic limestone (herein, the dolomitic limestone is used to replace the dolomitic limestone or calcitic dolomite) of two different types, three different thicknesses and developed in different positions in the Qixia group is established to simulate the change of the seismic response characteristics and summarize the differences of the seismic response characteristics, as shown in FIG. Figure 4As shown, when thick dolomite reservoirs are developed in well P1, the amplitude of the top of the Qixia Formation is weak, the amplitudes of the inside and bottom are strong, and the top event is obviously pulled up and the bottom event is obviously pulled down; the thinner the dolomite reservoir, the more similar the seismic response characteristics to those of the dolomitic limestone in well J1, which is a medium strong peak reflection.

[0048] Further, the seismic reflection characteristics of dolomite are determined by using single well geology, seismic and various forward simulation results. The development of dolomite and dolomitic limestone both causes the inside peak reflection intensity of the Qixia Formation to increase, and the peak reflection intensity of dolomite is obviously stronger than that of dolomitic limestone, and the thickness of dolomite is proportional to the peak reflection intensity. The development position of dolomite or dolomitic limestone also affects the reflection intensity changes of the top and bottom of the Qixia Formation. The dolomite in well P1 is 21 m away from the top of the Qixia Formation, the top event of the Qixia Formation is pulled up and the peak intensity is weakened, while the 15 m thin layer of dolomite is 45 m away from the top of the Qixia Formation, and the top event of the Qixia Formation does not change obviously. The dolomite in well P1 and the 15 m thin layer of dolomite are 40 m away from the bottom of the Qixia Formation, but the dolomite in well P1 is thick and has a large difference in wave impedance with the surrounding rock, the bottom event of the Qixia Formation is pulled down and the trough intensity is increased, while the dolomitic limestone in well J1 is 25 m away from the bottom of the Qixia Formation, but it has a small difference in wave impedance with the surrounding rock, and the bottom event of the Qixia Formation does not change as obviously as that in well P1. The actual seismic reflection characteristics of P1 and J1 in Figure 3 are consistent with the forward simulation results, so the forward simulation results can be used to assist in judging the development of dolomite.

[0049] S4, decomposing the seismic data volume of the target layer by using waveform decomposition technology to obtain waveform components, and giving the waveform components geological meanings based on the single well longitudinal seismic reflection characteristics and the single well transverse seismic reflection characteristics and the longitudinal development characteristics of dolomite;

[0050] Specifically, based on the analysis of single well geology and geophysical characteristics, the seismic data volume of the target layer is decomposed into different shapes and different frequencies of waveforms within its effective frequency band range by using waveform decomposition technology, and then different waveforms are statistically classified according to energy size. The first component (A1) has the largest energy, the second component (A2) has the second largest energy, and so on. Then the geological-seismic reflection characteristics of the drilled single well dolomite section are compared with the decomposed waveform components. If they are consistent, the component is given the development characteristics of dolomite of the single well, and so on. As shown in Figure 5 , the second component (A2) is a low frequency and strong amplitude reflection, which is consistent with the seismic response characteristics of the dolomite in well P1, while the third component is a medium-high frequency and medium-strong amplitude reflection, which is consistent with the seismic response characteristics of dolomitic limestone or gray dolomite.

[0051] S5, based on the planar distribution characteristics of the waveform components or extracting the planar distribution characteristics of the plurality of waveform components, and comparing with the planar distribution trend of the favorable facies belt of the dolomite developed in the carbonate beach facies of the research area to determine the dolomite distribution in the research area.

[0052] Specifically, based on the analysis of the seismic reflection characteristics of the second and third waveform components, the planar distribution of the dolomite, dolomitic limestone or calcitic dolomite is determined by using the second and third component planar attributes, as shown in FIG. 2. Figure 5 As shown in the second component planar prediction result, the dolomite is mainly distributed in the northwest and northeast of the work area. The energy in the northwest P1 well thick dolomite development area is strong, while the energy in the northeast is slightly weak, which is a thin dolomite development area. As shown in the third component planar prediction result, the dolomitic limestone or calcitic dolomite is mainly distributed in the northeast of the work area. By comparing the second component and third component planar prediction results, it can be seen that the thin dolomite and dolomitic limestone or calcitic dolomite are superimposed in the northeast of the work area. By combining the second component and third component planar attributes, the result is basically consistent with the conventional single amplitude attribute planar prediction result shown in FIG. 3, but the waveform component attribute can distinguish different types of lithology, and the prediction accuracy is obviously higher. Figure 6

[0053] Further, the existence of carbonate beach facies deposition in the research area is determined by using the regional sedimentary background, surface outcrop and drilling data; the topographic high and low change trend of the carbonate beach facies deposition is determined by using the thickness change of the target layer; the seismic facies and fracture development characteristics of the carbonate beach facies deposition are determined by using the drilling and seismic data information.

[0054] Further, the paleogeomorphology, seismic facies and fracture prediction results are fused by planar attribute, and the dolomite development favorable facies belt is obtained by combining the beach facies deposition background and the actual drilling situation, wherein the carbonate beach facies deposition facies belt is determined by the seismic facies distribution, and the dolomite development degree is controlled by the paleogeomorphology high and low and the fracture scale, as shown in FIG. 4. Figure 7 As shown in FIG. 4, the thick dolomite facies belt of the gentle slope edge beach facies is developed in the northwest of the work area, and the gentle slope intra-platform beach is developed in the superimposed part of the pink waveform and the strip-shaped paleogeomorphology sub-high ground in the northeast of the work area, and the thin dolomite facies belt is developed.

[0055] Further, the waveform component prediction result is consistent with the planar distribution trend of the favorable facies belt shown by the prediction results of the dolomite deposition background, paleogeomorphology, seismic facies and wave impedance inversion of the target layer in the research area, which indicates that the decomposed waveform component result is reliable, that is, the dolomite distribution can be qualitatively determined, and the dolomite development favorable area distribution map shown in FIG. 5 is obtained. Figure 8

[0056] ​​Based on the same concept, a device for predicting distribution of beach facies dolomite based on geology-geophysical analysis is also provided, comprising at least one processor, and a memory in communication connection with the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute any one of the above-mentioned methods for predicting distribution of beach facies dolomite based on geology-geophysical analysis.

[0057] The above merely describes preferred embodiments of the present application and is not intended to limit the present application, and any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for predicting the distribution of beach-facies dolomite based on geological-geophysical analysis, characterized in that, Includes the following steps: S1, based on field geological outcrops and single-well data in the study area, obtains the vertical development characteristics of dolomite in the target layer of the single well in the study area; S2, by calibrating the longitudinal development characteristics through well-seismic composite records, the longitudinal seismic reflection characteristics of a single well are obtained; S3. Establish forward modeling models with different development locations, thicknesses, and lithological combinations, and perform forward modeling simulations based on the longitudinal seismic reflection characteristics of the single well to obtain the transverse seismic reflection characteristics of the single well. S4. The target layer seismic data volume is decomposed using waveform decomposition technology to obtain waveform components, and the geological meaning of the waveform components is assigned based on the vertical and horizontal seismic reflection characteristics of the single well and the vertical development characteristics of the dolomite. S5. Based on the planar distribution characteristics of the waveform components or by extracting the planar distribution characteristics of multiple waveform components, compare the favorable facies zone distribution trend of carbonate shoal dolomite development in the study area to determine the dolomite distribution in the study area. In step S3, the specific steps for establishing the forward model and the forward simulation are as follows: using statistical data on the longitudinal development characteristics of more than one single well, including different development locations, thicknesses, lithological combinations, and different velocities and densities of dolomite, to establish a forward model; based on the longitudinal seismic reflection characteristics of a single well, to simulate the changes in its seismic response characteristics at different longitudinal locations; to summarize and compare the differences in its seismic response characteristics; and to determine the transverse seismic reflection characteristics of a single well.

2. The method for predicting the distribution of shoal-facies dolomite based on geological-geophysical analysis according to claim 1, characterized in that, Step S1 is as follows: using geological outcrops in the field and single-well data including elemental logging in the study area, establish a single-well dolomite discrimination standard based on the element content ratio of different developmental sections in the elemental logging data, and determine the lithological combination characteristics and thickness of single-well dolomite at different longitudinal developmental positions according to the discrimination standard.

3. The method for predicting the distribution of shoal-facies dolomite based on geological-geophysical analysis according to claim 2, characterized in that, The single-well data used to establish the criteria for identifying dolomite in a single well also includes drilling cores, cuttings, thin sections of rock, electrical logging curves, and elemental logging.

4. The method for predicting the distribution of shoal-facies dolomite based on geological-geophysical analysis according to claim 1, characterized in that, In step S2, the specific steps for obtaining the longitudinal seismic reflection characteristics of a single well through the calibration of the well-seismic composite record are as follows: the location of the dolomite development section of the single well is calibrated in the seismic profile using the well-seismic composite record, and the longitudinal development characteristics of the dolomite at the location are matched with the seismic reflection characteristics shown in the seismic profile, thereby determining the longitudinal seismic reflection characteristics of the single well corresponding to the longitudinal development characteristics of the dolomite.

5. The method for predicting the distribution of beach facies dolomite based on geological-geophysical analysis according to claim 1, characterized in that, In step S4, the specific steps for decomposing the target layer seismic data volume using waveform decomposition technology, obtaining waveform components, and assigning geological meaning to the waveform components based on the single-well seismic reflection characteristics are as follows: the three-dimensional seismic data volume is decomposed into a set of seismic wavelets of different frequencies using seismic wavelet decomposition technology. Then, different wavelets are screened and classified according to their dominant frequency to extract waveform component information related to the target layer. The waveform component information is then statistically classified according to its energy level and compared with the single-well seismic reflection characteristics. If the two are consistent, the waveform component is assigned the single-well dolomite development characteristics based on the vertical development characteristics of the dolomite and the single-well seismic reflection characteristics.

6. The method for predicting the distribution of shoal-facies dolomite based on geological-geophysical analysis according to claim 1, characterized in that, Step S5 specifically includes the following steps: obtaining waveform component prediction results from the planar distribution characteristics of the waveform components or extracting the planar distribution characteristics of multiple waveform components. The prediction results include the planar distribution of dolomite of different types, thicknesses, and locations. The prediction results are compared with the planar distribution trend of favorable facies zones for carbonate shoal dolomite development in the study area. If the results are consistent, it indicates that the waveform component prediction results are reliable, and the distribution of dolomite can be determined.

7. The method for predicting the distribution of shoal-facies dolomite based on geological-geophysical analysis according to claim 6, characterized in that, The specific steps for obtaining favorable facies zones for the development of carbonate shoal dolomite in the study area are as follows: obtain the background, paleogeography, seismic facies, and fracture development characteristics of carbonate shoal facies deposition in the study area; fuse the paleogeography, seismic facies, and fracture development characteristics into planar attributes; and combine the background of shoal facies deposition with actual drilling data to obtain the planar distribution trend of favorable facies zones for dolomite development. Among these, the distribution of seismic facies determines the carbonate shoal facies depositional zones, while the paleogeography (high and low elevations) and fracture scale control the degree of dolomite development.

8. The method for predicting the distribution of beach facies dolomite based on geological-geophysical analysis according to claim 6, characterized in that, The specific steps for comparing the prediction results with the planar distribution characteristics of favorable facies zones for carbonate shoal dolomite development in the study area are as follows: if the planar distribution trends of dolomite development areas of different types, thicknesses, and locations shown by the waveform component prediction results are consistent with the favorable facies zones including the dolomite types and thicknesses in each region, then the waveform component prediction results are considered reliable.

9. A device for predicting the distribution of beach facies dolomite based on geological-geophysical analysis, characterized in that, It includes at least one processor and a memory communicatively connected to the at least one processor; the memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enable the at least one processor to perform a method for predicting the distribution of beach facies dolomite based on geological-geophysical analysis according to any one of claims 1 to 8.

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