Seismic data processing quality monitoring method

Abstract

The invention discloses a seismic data processing quality monitoring method, and relates to the technical field of seismic data monitoring, and the method comprises the following steps: S1, collecting historical seismic data, and constructing a seismic data processing quality sample set according to the historical seismic data; s2, constructing a seismic data processing quality evaluation model; according to the seismic data processing quality monitoring technology, seismic data are input into a quality evaluation model, the seismic data are evaluated, the shot number of a second-level product and the shot number of a third-level product are obtained according to the evaluation result, and rectification suggestions are automatically generated and fed back through a rectification suggestion generation model according to the evaluation result. And the generated evaluation result and the corresponding feedback rectification opinion are sent to related workers, so that the seismic data processing quality can be automatically monitored, the seismic data processing quality evaluation can be obtained, and the feedback rectification opinion can be automatically generated according to the evaluation result so as to facilitate timely rectification, so that the seismic data acquisition data has relatively high quality.

Description

Technical Field

[0001] The present invention relates to the technical field of seismic data monitoring, and in particular to a method for monitoring the quality of seismic data processing. Background Art

[0002] Earthquake, also known as ground movement or seismic vibration, is a natural phenomenon in which the earth's crust rapidly releases energy and generates seismic waves. The plates on the earth squeeze and collide with each other, causing the edges and interiors of the plates to shift and rupture, which is the main cause of earthquakes. Seismic data acquisition is to generate seismic waves by artificial methods. On land, explosive sources are usually used to drill a shallow well at the selected blasting point, and the depth of the well is generally 6-30 meters. The amount of explosives is generally 1-25 kilograms, which are loaded with electric detonators and placed at the bottom of the well to detonate the explosives to generate seismic waves. Then, the ground vibration signal caused by the seismic wave reflected from the underground is recorded by the ground seismic receiving instrument, recorded on a magnetic tape, and provided to the indoor computing center for subsequent processing. Seismic data processing is mainly based on the propagation theory of seismic waves, using electronic computers and other equipment and corresponding seismic data processing software to perform various processing on the original seismic data collected in the field to obtain the "seismic profile" that can reflect the underground geological structure and the seismic wave amplitude, frequency, propagation speed and other information that reflects the changes in underground rocks. Used to study underground geological structures, find favorable oil and gas traps, and determine drilling locations.

[0003] The purpose of seismic data processing is to process seismic data to remove false information and retain true information, and finally obtain effective information that can truly reflect the underground geological conditions. Therefore, high-quality seismic data is the key to successful oil and gas exploration. First of all, high-quality field acquisition is the basis for successful seismic exploration. If the original data has serious defects, there is no way to make up for it. Secondly, seismic data processing includes various processing methods and processing steps. The deviation of each step and the unreasonable processing parameters will affect the final processing effect. Therefore, strict and scientific quality control of each step of the data processing process is an important part of successful exploration. In the process of seismic data acquisition, qualitative analysis and evaluation methods are generally used to evaluate the collected seismic data. However, qualitative analysis and evaluation methods have many human factors and lack objectivity, accuracy and fairness. It is not only time-consuming and labor-intensive, but also difficult to find problems and correct them in time. It is even more difficult to find hidden problems in the acquisition, resulting in poor quality monitoring of seismic data processing. Therefore, a seismic data processing quality monitoring method is proposed. Summary of the invention

[0004] In view of the deficiencies of the prior art, the present invention provides a method for monitoring the quality of seismic data processing, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for monitoring the quality of seismic data processing, comprising the following steps:

[0006] S1: Collect historical seismic data and construct a seismic data processing quality sample set based on the historical seismic data;

[0007] S2: Construct a model for evaluating the quality of seismic data processing;

[0008] S3: Input the seismic data into the quality evaluation model to evaluate the seismic data;

[0009] S4: According to the evaluation results, the number of shots of the second-level and third-level products is obtained;

[0010] S5: Based on the evaluation results, feedback rectification opinions are automatically generated through the rectification opinion generation model;

[0011] S6: Send the generated evaluation results and corresponding feedback and rectification opinions to relevant staff.

[0012] Optionally, the step of obtaining the number of shots for the second-level and third-level products according to the evaluation results in S4 includes: S41: setting the evaluation standards for the second-level and third-level products according to the data; S42: evaluating the number of shots for the second-level and third-level products according to the evaluation results and the set evaluation standards for the second-level and third-level products.

[0013] Optionally, the step S5 of automatically generating feedback rectification opinions through the rectification opinion generation model according to the evaluation results includes: S51: constructing a seismic data acquisition model to simulate different seismic data quality conditions; S52: training the rectification opinion generation model according to the collected simulated seismic data conditions; S53: adjusting the seismic data acquisition model according to the feedback rectification opinions generated by the rectification opinion generation model; S54: performing simulation operation on the adjusted seismic data acquisition model, and verifying the collected data through the seismic data processing quality evaluation model.

[0014] Optionally, in the step of setting the evaluation standards for secondary and tertiary products according to the data in S41, the thresholds for secondary and tertiary products are set according to the signal-to-noise ratio statistics of the seismic data in the exploration area, so that the number of shots of secondary and tertiary products can be counted; the thresholds for secondary and tertiary products are set according to the background interference statistics of the seismic data in the exploration area, so that the number of shots of secondary and tertiary products can be counted; the thresholds for secondary and tertiary products are set according to the low-frequency interference statistics of the seismic data in the exploration area, so that the number of shots of secondary and tertiary products can be counted; the thresholds for secondary and tertiary products are set according to the high-frequency interference statistics of the seismic data in the exploration area, so that the number of shots of secondary and tertiary products can be counted.

[0015] Optionally, after the step S6 sends the generated evaluation results and corresponding feedback rectification opinions to relevant staff, the relevant staff reviews the generated feedback rectification opinions and evaluation results and then outputs them.

[0016] Optionally, the seismic data acquisition model adjusted in S54 is simulated and run, and the collected data is verified by the seismic data processing quality evaluation model. If problems still occur after verification, the staff will optimize and adjust the rectification opinion generation model accordingly.

[0017] Optionally, in the step S2 of constructing a seismic data processing quality evaluation model, the seismic data processing quality evaluation model is constructed based on artificial intelligence technology.

[0018] Optionally, in the step of constructing a seismic data acquisition model in S51 to simulate different seismic data quality conditions, the seismic data acquisition model is constructed based on three-dimensional simulation technology.

[0019] The present invention provides a method for monitoring the quality of seismic data processing, which has the following beneficial effects:

[0020] The seismic data processing quality monitoring method evaluates the seismic data by inputting the seismic data into a quality evaluation model, obtains the number of shots of the second-level and third-level products according to the evaluation results, automatically generates feedback rectification opinions according to the evaluation results through a rectification opinion generation model, sends the generated evaluation results and the corresponding feedback rectification opinions to relevant staff, and can automatically monitor the seismic data processing quality, obtain the seismic data processing quality evaluation, and automatically generate feedback rectification opinions according to the evaluation results so as to make timely rectifications and ensure that the seismic data acquisition data has higher quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a schematic diagram of the step structure of the present invention;

[0022] Figure 2 This is a step diagram of obtaining the number of shots of the second-level product and the third-level product according to the evaluation results in S4 of the present invention;

[0023] Figure 3 The S5 of the present invention automatically generates a feedback rectification opinion step diagram through a rectification opinion generation model according to the evaluation results. DETAILED DESCRIPTION

[0024] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0025] See also Figures 1 to 3 The present invention provides a technical solution: a method for monitoring the quality of seismic data processing, comprising the following steps:

[0026] S1: Collect historical seismic data and construct a seismic data processing quality sample set based on the historical seismic data;

[0027] S2: Construct a model for evaluating the quality of seismic data processing;

[0028] S3: Input the seismic data into the quality evaluation model to evaluate the seismic data;

[0029] S4: According to the evaluation results, the number of shots of the second-level and third-level products is obtained;

[0030] S5: Based on the evaluation results, feedback rectification opinions are automatically generated through the rectification opinion generation model;

[0031] S6: Send the generated evaluation results and corresponding feedback and rectification opinions to relevant staff.

[0032] Further, the step S4 of obtaining the number of shots for the second-level and third-level products based on the evaluation results includes: S41: setting the evaluation standards for the second-level and third-level products based on the data; S42: evaluating the number of shots for the second-level and third-level products based on the evaluation results and the set evaluation standards for the second-level and third-level products.

[0033] Further, S5 includes the following steps of automatically generating feedback rectification opinions through the rectification opinion generation model according to the evaluation results: S51: constructing a seismic data acquisition model to simulate different seismic data quality conditions; S52: training the rectification opinion generation model according to the collected simulated seismic data conditions; S53: adjusting the seismic data acquisition model according to the feedback rectification opinions generated by the rectification opinion generation model; S54: simulating the operation of the adjusted seismic data acquisition model, and verifying the collected data through the seismic data processing quality evaluation model.

[0034] Furthermore, in the step S41 of setting the evaluation standards for the second-level and third-level products based on the data, the thresholds for the second-level and third-level products are set according to the signal-to-noise ratio statistics of the seismic data in the exploration area, so that the number of shots of the second-level and third-level products can be counted; the thresholds for the second-level and third-level products are set according to the background interference statistics of the seismic data in the exploration area, so that the number of shots of the second-level and third-level products can be counted; the thresholds for the second-level and third-level products are set according to the low-frequency interference statistics of the seismic data in the exploration area, so that the number of shots of the second-level and third-level products can be counted; the thresholds for the second-level and third-level products are set according to the high-frequency interference statistics of the seismic data in the exploration area, so that the number of shots of the second-level and third-level products can be counted.

[0035] Furthermore, after step S6 sends the generated evaluation results and corresponding feedback rectification opinions to relevant staff, the relevant staff reviews the generated feedback rectification opinions and evaluation results, and then outputs them to ensure that the feedback rectification opinion plan can be used.

[0036] Furthermore, the adjusted seismic data acquisition model in S54 is simulated and run, and the collected data is verified by the seismic data processing quality evaluation model. If problems still occur after verification, the staff will optimize and adjust the rectification opinion generation model accordingly to ensure the accuracy of the feedback rectification opinion plan generated by the rectification opinion generation model.

[0037] Furthermore, in the step S2 of constructing a seismic data processing quality evaluation model, the seismic data processing quality evaluation model is constructed based on artificial intelligence technology.

[0038] Furthermore, in the step S51 of constructing a seismic data acquisition model to simulate different seismic data quality conditions, the seismic data acquisition model is constructed based on three-dimensional simulation technology and can simulate different seismic data quality conditions.

[0039] In summary, when the seismic data processing quality monitoring method is used, first historical seismic data are collected, and a seismic data processing quality sample set is constructed based on the historical seismic data, and then a seismic data processing quality evaluation model is constructed, and the constructed seismic data processing quality evaluation model is trained based on the quality sample set to obtain a final seismic data processing quality evaluation model, and a seismic data acquisition model is constructed to simulate different seismic data quality conditions, and a rectification opinion generation model is trained based on the collected simulated seismic data conditions, and feedback rectification opinions generated by the rectification opinion generation model are adjusted to the seismic data acquisition model, and the adjusted seismic data acquisition model is simulated and run, and the collected data is verified by the seismic data processing quality evaluation model. In actual use, the seismic data is input into the quality evaluation model, and the seismic data is evaluated. According to the evaluation results, the number of secondary and tertiary shots is obtained, and according to the evaluation results, feedback rectification opinions are automatically generated through the rectification opinion generation model, and the generated evaluation results and the corresponding feedback rectification opinions are sent to relevant staff.

[0040] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for monitoring the quality of seismic data processing, characterized in that: The following steps are involved: S1: Collect historical seismic data and construct a seismic data processing quality sample set based on the historical seismic data; S2: Construct a model for evaluating the quality of seismic data processing; S3: Input the seismic data into the quality evaluation model to evaluate the seismic data; S4: According to the evaluation results, the number of shots of the second-level and third-level products is obtained; S5: Based on the evaluation results, feedback rectification opinions are automatically generated through the rectification opinion generation model; S6: Send the generated evaluation results and corresponding feedback and rectification opinions to relevant staff.

2. A method for monitoring seismic data processing quality according to claim 1, characterized in that: The step S4 of obtaining the number of shots for the second-level and third-level products based on the evaluation results includes: S41: setting the evaluation standards for the second-level and third-level products based on the data; S42: evaluating the number of shots for the second-level and third-level products based on the evaluation results and the set evaluation standards for the second-level and third-level products.

3. A method for monitoring seismic data processing quality according to claim 1, characterized in that: The step S5 of automatically generating feedback rectification opinions through the rectification opinion generation model according to the evaluation results includes: S51: constructing a seismic data acquisition model to simulate different seismic data quality conditions; S52: training the rectification opinion generation model according to the collected simulated seismic data conditions; S53: adjusting the seismic data acquisition model according to the feedback rectification opinions generated by the rectification opinion generation model; S54: performing simulation operation on the adjusted seismic data acquisition model, and verifying the collected data through the seismic data processing quality evaluation model.

4. A method for monitoring seismic data processing quality according to claim 2, characterized in that: In the step S41 of setting the evaluation standards for the second-level and third-level products according to the data, the thresholds for the second-level and third-level products are set according to the signal-to-noise ratio statistics of the seismic data in the exploration area, so that the number of shots of the second-level and third-level products can be counted; the thresholds for the second-level and third-level products are set according to the background interference statistics of the seismic data in the exploration area, so that the number of shots of the second-level and third-level products can be counted; the thresholds for the second-level and third-level products are set according to the low-frequency interference statistics of the seismic data in the exploration area, so that the number of shots of the second-level and third-level products can be counted; the thresholds for the second-level and third-level products are set according to the high-frequency interference statistics of the seismic data in the exploration area, so that the number of shots of the second-level and third-level products can be counted.

5. A method for monitoring seismic data processing quality according to claim 1, characterized in that: After the step S6 of sending the generated evaluation results and the corresponding feedback rectification opinions to the relevant staff, the relevant staff will review the generated feedback rectification opinions and evaluation results and then output them.

6. A method for monitoring seismic data processing quality according to claim 3, characterized in that: The adjusted seismic data acquisition model in S54 is simulated and run, and the acquired data is verified by the seismic data processing quality evaluation model. If problems still occur after verification, the staff will optimize and adjust the rectification opinion generation model accordingly.

7. A method for monitoring seismic data processing quality according to claim 1, characterized in that: In the step S2 of constructing a seismic data processing quality evaluation model, the seismic data processing quality evaluation model is constructed based on artificial intelligence technology.

8. A method for monitoring seismic data processing quality according to claim 3, characterized in that: In the step of constructing a seismic data acquisition model in S51 to simulate different seismic data quality conditions, the seismic data acquisition model is constructed based on three-dimensional simulation technology.

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