Automatic seismic phased reservoir parameter simulation method and system

Abstract

The invention belongs to the technical field of oil-gas exploration technologies, and particularly relates to an automatic seismic phased reservoir parameter simulation method and system, and the method comprises the steps: building a first sample set according to the seismic interpretation data of a high-precision sequence stratigraphic framework; the reservoir time thickness in the first sample set is adjusted to perform wavelet deconvolution, an adjusted seismic waveform is obtained, and a second sample set is established according to the adjusted seismic waveform; obtaining reservoir common structure information in the first sample set and / or the second sample set as reservoir parameters of a to-be-predicted point; and selecting a reservoir parameter sample of a to-be-predicted point similar to the to-be-measured earthquake to perform reservoir common structure simulation. According to the automatic seismic facies control simulation realized by the simulation method provided by the invention, when the reservoir parameter plane distribution is extracted, the overall distribution rule of the extracted reservoir parameter attributes accords with the sedimentary facies belt distribution rule, and the method reasonably solves the reservoir parameter prediction problem in the region with the uneven well pattern.

Description

Technical Field

[0001] The invention belongs to the technical field of oil and gas exploration technology, and in particular relates to an automatic seismic phase-controlled reservoir parameter simulation method and system. Background Art

[0002] High-precision reservoir prediction based on well and seismic data is one of the key technologies in oil and gas exploration. At present, the quantitative prediction of high-precision reservoirs mainly uses inversion technology. In areas where wave impedance can distinguish lithology, a series of special inversion methods have indeed improved the accuracy of reservoir prediction and achieved the purpose of quantitatively characterizing the distribution of sandstone. However, in many areas of continental basins, the wave impedance difference of sandstone and mudstone is not obvious, which cannot meet the needs of reservoir prediction. In addition, with the deepening of oil and gas exploration, it is necessary to conduct more in-depth research on reservoir parameters, such as analyzing the physical properties of the reservoir, oil and gas content and other characteristics, which urgently requires the simulation of reservoir parameters.

[0003] Traditional thin-layer reservoir parameter simulation mostly uses random simulation methods to simulate the probability of reservoirs and high-quality reservoirs. This method has achieved three-dimensional spatial prediction of reservoir parameters to a certain extent. However, for areas with complex stratigraphic structures and large lateral changes in reservoirs, the accuracy and stability of the simulation results are often unsatisfactory, and they are inconsistent with the distribution characteristics of the dominant sedimentary facies, or even the opposite, which directly leads to the contradiction between geological understanding and geophysical results. In addition, in the case of uneven well networks, the limitations of the reservoir parameter prediction method of random simulation are even more obvious. It cannot predict the distribution characteristics of reservoirs in areas with sparse well networks, and it cannot obtain reservoir distribution consistent with the distribution law of sedimentary facies. There are also some methods that add the boundaries of sedimentary phases drawn manually by geologists based on the characteristics of the wells that have been drilled during the reservoir parameter simulation process, and conveniently involve the artificial sedimentary phases in the constraints of the model, achieving a certain purpose of phase-controlled reservoir prediction. However, this phase boundary is drawn manually, and different people have different understandings of the boundaries of sedimentary phase belts, which will lead to the one-sidedness and multiple solutions of the final reservoir prediction results. In addition, for thin-layer reservoirs, the migration and change characteristics of the reservoirs are also very obvious in different depositional periods. Within a certain vertical range, the artificially drawn sedimentary phase boundaries cannot truly reflect the evolution characteristics of multiple sets of reservoirs. This also leads to inaccuracy in the results of reservoir parameter simulation. Summary of the invention

[0004] In order to solve or partially solve the above problems, the present invention proposes an automatic seismic phase-controlled reservoir parameter simulation method, comprising the following steps:

[0005] Establishing the first sample set based on seismic interpretation data of a high-precision sequence stratigraphic framework;

[0006] Adjusting the reservoir time thickness in the first sample set to perform wavelet deconvolution to obtain an adjusted seismic waveform, and establishing a second sample set based on the adjusted seismic waveform;

[0007] Acquire common structural information of reservoirs in the first sample set and / or the second sample set as reservoir parameters of the points to be predicted;

[0008] Select reservoir parameter samples of the predicted points similar to the seismic phase to be measured to simulate the common reservoir structure.

[0009] Furthermore, the high-precision sequence stratigraphic framework is established based on the results of the horizon interpretation in the study area;

[0010] The strata within the high-precision sequence stratigraphic framework have isochronous characteristics, the sedimentary facies belts are stable, and the lithological combination characteristics correspond to the seismic reflection characteristics.

[0011] Furthermore, the step of establishing the first sample set based on the seismic interpretation data of the high-precision sequence stratigraphic framework comprises the following steps:

[0012] Using seismic data, identify unconformities and conformities corresponding to the unconformities, and establish a primary sequence framework;

[0013] Using drilling core data and logging data, the primary sequence framework is divided into secondary sedimentary cycles and sedimentary phases to form a secondary sequence framework;

[0014] By means of well-seismic calibration, the third-order sequences are divided within the second-order sequence framework to form a third-order sequence framework;

[0015] According to the calibration results, seismic interpretation is performed on the three-level sequence framework to establish a high-precision sequence stratigraphic framework.

[0016] Furthermore, before establishing the first sample set, the method further includes extracting reservoir parameters, including the following steps:

[0017] Produce synthetic seismic records of a single well and extract seismic wavelets near the well;

[0018] The logging parameters that are sensitive to the reservoir in the study area are analyzed, and the inter-well consistency processing of reservoir parameter curves is performed.

[0019] Furthermore, the first sample set includes seismic data, sonic logging, natural gamma, density logging data and reservoir thickness.

[0020] Furthermore, the establishing of the second sample set comprises the following steps:

[0021] According to the lateral variation characteristic parameters of the formation, the reservoir time thickness of the sample point in the first sample set is obtained;

[0022] By simulating the seismic waveform after the reservoir time thickness increases or decreases, the seismic waveform after the reservoir time thickness is adjusted is obtained by wavelet deconvolution;

[0023] A second sample set is established based on the seismic waveform after adjusting the reservoir time.

[0024] Further, obtaining the reservoir common structure information in the first sample set and / or the second sample set as the reservoir parameter of the point to be predicted includes the following steps:

[0025] Extracting the seismic waveform of the point to be predicted from the first sample set and / or the second sample set as a phase control factor, and searching for several wells with seismic waveforms similar to the point to be predicted;

[0026] The common structural information of the reservoir parameter curves of the plurality of wells is counted as the reservoir parameter of the point to be predicted.

[0027] On the other hand, the present invention provides an automatic seismic phase-controlled reservoir parameter simulation system, the system comprising:

[0028] A first establishing unit is used to establish a first sample set according to seismic interpretation data of a high-precision sequence stratigraphic framework;

[0029] A second establishing unit is used to adjust the reservoir time thickness in the first sample set to perform wavelet deconvolution to obtain an adjusted seismic waveform, and establish a second sample set according to the adjusted seismic waveform;

[0030] An acquisition unit, used for acquiring common structural information of reservoirs in the first sample set and / or the second sample set as reservoir parameters of the points to be predicted;

[0031] The simulation unit is used to select reservoir parameter samples of the predicted points similar to the seismic phase to be measured to simulate the common structure of the reservoir.

[0032] In a third aspect, the present invention provides an electronic device, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus;

[0033] Memory for storing computer programs;

[0034] The processor is used to implement the automatic seismic phase-controlled reservoir parameter simulation method when executing the program stored in the memory.

[0035] In a fourth aspect, the present invention proposes a computer-readable storage medium storing a computer-readable program, and when the computer-readable program is run, the automatic seismic phase-controlled reservoir parameter simulation method is executed.

[0036] Beneficial effects of the present invention:

[0037] The automatic seismic phase-controlled reservoir parameter simulation method proposed in the present invention combines the indicative effect of the seismic waveform reflecting the sedimentary phase belt to optimize samples in space for reservoir parameter simulation, instead of using the well interpolation method or the artificial phase belt prediction boundary + interpolation method;

[0038] In order to increase the richness of samples, the present invention also adopts wavelet deconvolution according to the reservoir distribution range and the time variation trend of the stratum to simulate the seismic waveform after the time thickness increases or decreases, and obtains a series of spatially varying sample sets. When predicting the reservoir parameters of the predicted point, according to the principle of "similar seismic waveforms and similar reservoir structures", the sedimentary structure of the wells with similar seismic waveforms is found for analysis, and finally all three-dimensional data bodies in the study area are traversed to perform an automatic seismic phase-controlled reservoir parameter geophysical model. Especially for areas with uneven well network distribution, the idea of ​​simulating reservoir parameters according to the control of seismic phases is better than conventional random simulation in predictability and higher lateral resolution of the reservoir. According to the automatic seismic phase-controlled simulation technology implemented by the method proposed by the present invention, when extracting the plane distribution of reservoir parameters, it can be seen that the overall distribution law of the extracted reservoir parameter attributes conforms to the distribution law of sedimentary phase belts, and this method reasonably solves the problem of reservoir parameter prediction in areas with uneven well networks.

[0039] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 A flow chart of an automatic seismic phase-controlled reservoir parameter simulation method proposed in an embodiment of the present invention is shown;

[0042] Figure 2 A high-precision sequence stratigraphic framework standard diagram in an embodiment of the present invention is shown;

[0043] Figure 3 The adjusted seismic waveform diagram in the embodiment of the present invention is shown;

[0044] Figure 4 A synthetic seismic record diagram in an embodiment of the present invention is shown;

[0045] Figure 5 A schematic diagram of a wavelet of a wellside seismic trace in an embodiment of the present invention is shown;

[0046] Figure 6 It shows a curve diagram of reservoir sensitivity parameters in the study area in an embodiment of the present invention;

[0047] Figure 7 A schematic diagram of a sample set in an embodiment of the present invention is shown;

[0048] Figure 8 A schematic diagram of a supplementary sample set in an embodiment of the present invention is shown;

[0049] Fig. 9 The planar distribution characteristic diagram of the predicted reservoir in the embodiment of the present invention is shown;

[0050] Fig.10 A schematic diagram of an automatic seismic phase-controlled reservoir parameter simulation system proposed by the present invention is shown;

[0051] Fig.11 A structural schematic diagram of an electronic device for realizing an automatic seismic phase-controlled reservoir parameter simulation method proposed by the present invention is provided. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] In order to address the deficiencies in the prior art, the present invention proposes an automatic seismic phase-controlled reservoir parameter simulation method, which mainly implements an automatic seismic phase-controlled reservoir parameter simulation method within a high-precision stratigraphic grid. By using a sample set of seismic waveforms and reservoir parameter data of measured well points within a high-precision stratigraphic grid, and obtaining a number of supplementary sample sets based on forward modeling of strata and sedimentary bodies, the two sample sets are combined and applied to realize automatic seismic waveform phase-controlled prediction of any position in space.

[0054] In order to more clearly illustrate the above simulation method, the Lunnan 10 area is taken as an example. The Triassic in the Lunnan 10 area is mainly composed of continental fluvial deposits, with thin sedimentary sand bodies, the thinnest sand body is only 3-8m, and the lateral changes are fast. The width of the river phase is about 20-80m. The inter-river bay and river channel deposits are inter-distributed, the reservoir continuity is poor, there is no drilling control in some areas of the river channel, and the reservoir plane distribution is discontinuous. The conventional random simulation of the reservoir can only simulate the probability of reservoir occurrence. The accuracy and stability of the simulation results are poor, and they are inconsistent with the distribution characteristics of the dominant sedimentary phase belt, and cannot reflect the distribution characteristics of the reservoir in the well-free area. In this case, the technical simulation of manually drawing the sedimentary phase boundary will lead to the one-sidedness and multi-solution of the reservoir prediction results. In addition, for different river channel periods, the migration and change characteristics of the reservoir are also very obvious. Within a certain vertical range, the manually drawn sedimentary phase boundary cannot truly reflect the evolution characteristics of multiple sets of reservoirs, which also leads to the inaccuracy of the results of reservoir parameter simulation. In response to this problem, the specific technical solution of the automatic seismic phase-controlled reservoir parameter simulation method proposed by the present invention is as follows Figure 1 As shown, it mainly includes the following steps:

[0055] Establishing the first sample set based on seismic interpretation data of a high-precision sequence stratigraphic framework;

[0056] Adjusting the reservoir time thickness in the first sample set to perform wavelet deconvolution to obtain an adjusted seismic waveform, and establishing a second sample set based on the adjusted seismic waveform;

[0057] Acquire common structural information of reservoirs in the first sample set and / or the second sample set as reservoir parameters of the points to be predicted;

[0058] Select reservoir parameter samples of predicted points similar to the measured seismic phase to simulate reservoir common structure and output a three-dimensional reservoir parameter data body.

[0059] In order to more clearly illustrate the automatic seismic phase-controlled reservoir parameter simulation method, the specific implementation process is further described below in conjunction with specific embodiments.

[0060] Step 1: Establish a high-precision sequence stratigraphic framework, in which the strata have isochronous characteristics, stable sedimentary facies, and a close relationship between lithological combination characteristics and seismic reflection characteristics. Establishing a high-precision sequence stratigraphic framework includes the following steps:

[0061] Through seismic data, we can identify obvious unconformities and corresponding conformities and establish a sequence framework.

[0062] Using drilling core data and logging data, the secondary sedimentary cycles and sedimentary facies are divided to form a secondary sequence framework;

[0063] Through well-seismic calibration, the third-order sequences are further divided within the second-order sequence framework to form a third-order sequence framework;

[0064] According to the calibration results, seismic interpretation is performed on the three-level sequence framework to establish a high-precision sequence stratigraphic framework.

[0065] The high-precision sequence stratigraphic framework obtained in this example is as follows Figure 2 shown.

[0066] Before establishing the first sample set, it also includes extracting reservoir parameters, establishing the relationship between the reservoir waveform and the seismic waveform, and establishing the premise of the target sample, as shown in the specific steps 2 and 3:

[0067] Step 2: Prepare a single well synthetic seismic record and extract the seismic wavelet near the single well. The synthetic seismic record of this embodiment is as follows: Figure 4 As shown in the figure, the extracted sub-waves of the wellside seismic trace are as follows: Figure 5 shown.

[0068] Step 3: Analyze the logging parameters sensitive to the reservoir in the study area, and perform inter-well consistency processing of the reservoir parameter curve to solve the problem of different logging curves measured due to different drilling and logging times in a work area, and differences in logging instrument series and units; the logging parameters include natural gamma GR, natural potential SP, well diameter CAL, acoustic wave AC, density ZDL, neutron CN and resistivity; reservoir parameters include reservoir thickness, porosity, permeability, saturation and sandstone content; the parameter curves sensitive to the reservoir in the study area in this embodiment are shown in FIG. Figure 6 As shown, Figure 6 It is an intersection diagram of sonic time difference and density. These two logging parameters are sensitive parameters of the reservoir. The horizontal axis is density and the vertical axis is sonic wave. The data points in the figure are the distribution of mudstone and sandstone (reservoir), respectively. The figure shows that sand body is the main reservoir, and the main distribution characteristics of the data points are areas with low density and large sonic time difference.

[0069] Step 4: Establish a first sample set based on the seismic interpretation data of the high-precision sequence stratigraphic framework, that is, establish a first sample set within the high-precision sequence stratigraphic framework; the first sample set includes but is not limited to seismic waveforms, acoustic wave curves or wave impedance curves and reservoir parameter curves; the first sample set obtained in this embodiment is as follows Figure 7 As shown, it includes natural gamma, seismic waveform, and acoustic wave curve; among them, the seismic waveform adopts the seismic waveform of the reservoir section in the seismic data, the acoustic wave curve is the acoustic logging curve drilled in the work area, and the wave impedance curve is obtained by inverting the seismic data and well data.

[0070] Step 5: Adjust the reservoir time thickness in the first sample set to perform wavelet deconvolution to obtain an adjusted seismic waveform, and establish a second sample set based on the adjusted seismic waveform; the wavelet is a wavelet of a typical reservoir in the earthquake.

[0071] In the specific implementation process, the seismic waveform after the reservoir thickness increases or decreases can be simulated according to the lateral variation characteristic parameters of the stratum. In this embodiment, the adjusted seismic waveform is as follows: Figure 3 As shown, a series of spatially varying sample sets are obtained, namely the second sample set. The sample weight coefficient level in the second sample set is relatively low, and it is only used as a supplementary sample set to the first sample set in areas with few wells. The second sample set obtained in this embodiment is as shown in Figure 8 As shown, the original seismic waveform and well curve, the seismic waveform and well curve after compression of 4ms and 8ms, and the seismic waveform and well curve after stretching of 4ms and 8ms are included.

[0072] Step 6: Acquire common structural information of reservoirs in the first sample set and / or the second sample set as reservoir parameters of the points to be predicted;

[0073] The specific steps include:

[0074] Extracting the seismic waveform of the point to be predicted from the first sample set and / or the second sample set as a phase control factor, and searching for several wells with similar seismic waveforms to the point to be predicted; specifically, extracting the seismic waveform of any position within the high-precision sequence stratigraphic framework, searching for wells with similar seismic waveforms to the point in the study area, and generally selecting 2 wells;

[0075] The common structural information of the reservoir parameter curves of several wells is counted as the reservoir parameter curve of the point to be predicted, and the common structural information of the reservoir is obtained as the reservoir parameter of the point to be predicted; although the resolution of the reservoir parameter data obtained in this way is not as high as the resolution of the measured curve, it is much higher than the resolution of the seismic data itself;

[0076] Step 7: According to the method of step 6, traverse the seismic data body to be tested in the study area, select all samples with similar seismic phases in the first sample set and / or the second sample set to perform reservoir common structure simulation, and output a three-dimensional reservoir parameter data body. In other words, for any point in space, the well interpolation method is not used. Instead, considering the lateral heterogeneity of the reservoir, samples with similar seismic phases are directly selected in the first sample set and / or the second sample set to perform reservoir common structure simulation, and then obtain a three-dimensional reservoir parameter data body, thereby realizing automatic phase-controlled reservoir parameter simulation. The plane distribution feature effect diagram of the reservoir simulated by the method in this embodiment is shown in the figure below. Fig. 9 As shown, from Fig. 9It can be seen that two fans were identified in the eastern and western well-free areas respectively. The fan sources came from the south, which is consistent with the geological understanding.

[0077] Results of this example: According to the above simulation method, phase-controlled reservoir parameter simulation was performed on the Triassic reservoir in Lunnan 10 area, and three new traps were discovered and confirmed, among which the Lunnan Quema 2 trap has been successfully drilled, and the predicted resource volume of crude oil is 2 million tons.

[0078] Based on the same concept as the method embodiment of the present invention, the present invention also provides an automatic seismic phase-controlled reservoir parameter simulation system, specifically, Fig.10 As shown, the simulation system 10 includes:

[0079] A first establishing unit 101 is used to establish a first sample set according to seismic interpretation data of a high-precision sequence stratigraphic framework;

[0080] A second establishing unit 102 is used to adjust the reservoir time thickness in the first sample set to perform wavelet deconvolution to obtain an adjusted seismic waveform, and establish a second sample set according to the adjusted seismic waveform;

[0081] An acquisition unit 103 is used to acquire common structural information of reservoirs in the first sample set and / or the second sample set as reservoir parameters of points to be predicted;

[0082] The simulation unit 104 is used to select reservoir parameter samples of the predicted points similar to the earthquake phase to be measured to perform reservoir common structure simulation.

[0083] Based on the same inventive concept, another exemplary embodiment of the present invention provides an electronic device. Fig.11 As shown, the electronic device includes at least one processor 1101, at least one communication interface 1102, at least one memory 1103 and at least one communication bus 1104; wherein the processor 1101, the communication interface 1102 and the memory 1103 communicate with each other through the communication bus 1104;

[0084] A memory 1103, used for storing computer programs;

[0085] The processor 1101 is used to implement the automatic seismic phase-controlled reservoir parameter simulation method when executing the program stored in the memory 1103.

[0086] Optionally, the communication interface may be an interface of a communication module, such as an interface of a GSM module; the processor may be a processor CPU, or an application-specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present invention. The memory may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The memory stores a program, and the processor calls the program stored in the memory to execute some or all of the above method embodiments.

[0087] Based on the same inventive concept, the embodiment of the present application further provides a storage medium, including a computer program, which implements part or all of the above method embodiments when executed by a processor. Optionally, the storage medium may be a non-temporary computer-readable storage medium, for example, the non-temporary computer-readable storage medium may be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0088] Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent substitutions for some of the technical features therein; and these modifications or substitutions do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An automatic seismic phase-controlled reservoir parameter simulation method, characterized in that: The following steps are involved: Establishing the first sample set based on seismic interpretation data of a high-precision sequence stratigraphic framework; Adjusting the reservoir time thickness in the first sample set to perform wavelet deconvolution to obtain an adjusted seismic waveform, and establishing a second sample set based on the adjusted seismic waveform; Acquire common structural information of reservoirs in the first sample set and / or the second sample set as reservoir parameters of the points to be predicted; Select reservoir parameter samples of the predicted points similar to the seismic phase to be measured to simulate the common reservoir structure.

2. The automatic seismic phase-controlled reservoir parameter simulation method according to claim 1, characterized in that: The high-precision sequence stratigraphic framework is established based on the results of the horizon interpretation in the study area; The strata within the high-precision sequence stratigraphic framework have isochronous characteristics, the sedimentary facies belts are stable, and the lithological combination characteristics correspond to the seismic reflection characteristics.

3. The automatic seismic phase-controlled reservoir parameter simulation method according to claim 1 or 2, characterized in that: The method of establishing a first sample set based on seismic interpretation data of a high-precision sequence stratigraphic framework comprises the following steps: Using seismic data, identify unconformities and conformities corresponding to the unconformities, and establish a primary sequence framework; Using drilling core data and logging data, the primary sequence framework is divided into secondary sedimentary cycles and sedimentary phases to form a secondary sequence framework; By means of well-seismic calibration, a third-order sequence is divided within the second-order sequence framework to form a third-order sequence framework; According to the calibration results, seismic interpretation is performed on the three-level sequence framework to establish a high-precision sequence stratigraphic framework.

4. The automatic seismic phase-controlled reservoir parameter simulation method according to claim 1, characterized in that: Before establishing the first sample set, the method further includes extracting reservoir parameters, including the following steps: Produce synthetic seismic records of a single well and extract seismic wavelets near the well; The logging parameters that are sensitive to the reservoir in the study area are analyzed, and the inter-well consistency processing of reservoir parameter curves is performed.

5. The automatic seismic phase-controlled reservoir parameter simulation method according to claim 1, characterized in that: The first sample set includes seismic data, sonic logging, natural gamma, density logging data and reservoir thickness.

6. The automatic seismic phase-controlled reservoir parameter simulation method according to claim 1, characterized in that: The establishing of the second sample set comprises the following steps: According to the lateral variation characteristic parameters of the formation, the reservoir time thickness of the sample point in the first sample set is obtained; By simulating the seismic waveform after the reservoir time thickness increases or decreases, the seismic waveform after the reservoir time thickness is adjusted is obtained by wavelet deconvolution; A second sample set is established based on the seismic waveform after adjusting the reservoir time.

7. The automatic seismic phase-controlled reservoir parameter simulation method according to claim 1, characterized in that: Acquiring the reservoir common structure information in the first sample set and / or the second sample set as the reservoir parameter of the point to be predicted comprises the following steps: Extracting the seismic waveform of the point to be predicted from the first sample set and / or the second sample set as a phase control factor, and searching for several wells with seismic waveforms similar to the point to be predicted; The common structural information of the reservoir parameter curves of the plurality of wells is counted as the reservoir parameter of the point to be predicted.

8. An automatic seismic phase-controlled reservoir parameter simulation system, characterized in that: The system comprises: A first establishing unit is used to establish a first sample set according to seismic interpretation data of a high-precision sequence stratigraphic framework; A second establishing unit is used to adjust the reservoir time thickness in the first sample set to perform wavelet deconvolution to obtain an adjusted seismic waveform, and establish a second sample set according to the adjusted seismic waveform; An acquisition unit, used for acquiring common structural information of reservoirs in the first sample set and / or the second sample set as reservoir parameters of the points to be predicted; The simulation unit is used to select reservoir parameter samples of the predicted points similar to the seismic phase to be measured to simulate the common structure of the reservoir.

9. An electronic device, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; Memory for storing computer programs; The processor is used to implement the automatic seismic phase-controlled reservoir parameter simulation method according to any one of claims 1 to 7 when executing the program stored in the memory.

10. A computer-readable storage medium, characterized in that: A computer-readable program is stored, and when the computer-readable program is run, the automatic seismic phase-controlled reservoir parameter simulation method according to any one of claims 1 to 7 is executed.

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