Method for optimally preparing exploder for seismic exploration

Abstract

The invention provides a seismic exploration blaster optimization allocation method, which comprises the steps of setting the total allocation number of blasters, calculating the type of distance combinations between any two blasters, the corresponding combination number and the total amount based on the construction length of a three-dimensional target area, and calculating the number of the distance combinations between any two blasters on the basis of a well shot T-D curve, corresponding blasting intervals are determined for distance combinations of different exploders, the blasting intervals are multiplied by the combination number corresponding to the distance combinations to obtain the blasting time of the number of the blasting points under the distance combinations, and the total number of the blasting points and the blasting time corresponding to each distance combination can be obtained in sequence; and finally, summing to obtain the construction gun number and the total construction time corresponding to the total preparation number, and converting the construction gun number and the total construction time into the blasting number in unit hour to obtain the construction efficiency corresponding to the total preparation number. According to the method provided by the invention, the problem that the number of exploders is not scientifically configured for the purpose of cost reduction and efficiency improvement in the existing seismic acquisition project based on well gun T-D curve construction is solved.

Description

Technical Field

[0001] This application relates to the field of geophysical exploration technology, and in particular to a method for optimizing the configuration of an explosive device for seismic exploration. Background Technology

[0002] The continuous development of wide-width and high-resolution seismic exploration technologies in recent years has facilitated the ongoing discovery of oil and gas in my country. High-efficiency seismic acquisition technology, which can effectively reduce exploration costs, has played a crucial role. Unlike the controllable source high-efficiency excitation technology, which has achieved daily efficiency exceeding 40,000 shots, high-efficiency excitation technology based on well-shot TD rules has developed relatively late. Continuing to use traditional radio communication methods to improve construction efficiency in complex areas without public networks is extremely difficult. Improving construction efficiency in complex areas without public networks has become an urgent problem for technical personnel to solve.

[0003] To address the communication dead zones and low construction efficiency issues associated with traditional radios in complex, network-free areas, engineers have developed an independent excitation system based on the BeiDou satellite system, overcoming the traditional reliance on radio communication for excitation. This system significantly improves data acquisition efficiency in such areas. However, this technology uses a fixed time slot for each excitation device. Prepared devices cannot be excited in advance, while unprepared devices waste their time slots waiting for the next available one, resulting in wasted time slots and hindering construction efficiency.

[0004] To address the time slot waste issue in independent firing systems based on the BeiDou satellite navigation system, engineers developed a high-efficiency firing system based on the BeiDou short message communication system combined with the TD curve of the wellhead firing. Within a communication frequency (60 seconds), multiple prepared blasting machines transmit their own numbers and coordinates to the BeiDou satellite command center via the BeiDou short message system. The command center calculates the distance to the previously fired blast and, based on the TD curve, determines the firing time interval for each blasting machine. The blasting machines are then queued in ascending order of their time intervals and fired sequentially. After one communication frequency (60 seconds), all prepared but unfired blasting machines (including those not fired in the previous frequency) are requeued. This system prioritizes firing blasts with shorter firing time intervals within a frequency, while avoiding wasted time slots and further improving construction efficiency.

[0005] As an emerging technology, how to optimize equipment investment to reduce exploration costs while improving construction efficiency has become a challenge for efficient seismic acquisition projects. Some technicians have optimized the investment and deployment of geophones, improving the economics of seismic acquisition projects. However, no articles or patents have addressed the relationship between the number of exploding machines and construction efficiency. Currently, seismic teams still equip exploding machines according to the conventional "more people, faster efficiency" approach. A larger number of exploding machines corresponds to a larger number of operators and transportation equipment. However, in actual construction, it has been found that the increased investment in equipment and personnel has not achieved the expected construction efficiency; in fact, the increased investment in equipment and personnel has actually reduced construction efficiency. Summary of the Invention

[0006] To address the aforementioned problems, this invention provides a method for optimizing the allocation of blasting machines for seismic exploration, thereby solving the problem in existing seismic acquisition projects based on well-shot TD curve construction where the number of blasting machines is not scientifically allocated with the goal of cost reduction and efficiency improvement.

[0007] The technical solution of this invention is:

[0008] A method for optimizing the configuration of blasting machines used in seismic exploration includes:

[0009] Obtain the well shot TD curve within the target work area; the well shot TD curve represents the blasting interval at different group distances.

[0010] The well shot TD curve is divided into multiple different intervals according to different inter-group distance ranges;

[0011] Determine the minimum number of explosives required based on the relocation time of the explosives;

[0012] Obtain the construction length of the blasting points within the target work area, set the total number of blasting machines, and determine the interval distance between two adjacent blasting machines; wherein, the total number of machines is greater than the minimum number of machines;

[0013] Determine the total number of distance combinations between any two explosives in the total number of explosives deployed;

[0014] Based on the distance combination types between any two explosive machines in the total number of explosive machines equipped, determine the number of different combinations corresponding to different distance combinations between the explosive machine to be activated and the previous explosive machine in the distance combination types;

[0015] Based on the different distance combinations, the different number of combinations, and the total number of distance combinations, the percentage of the number of combinations corresponding to each distance combination is obtained;

[0016] Based on the different combinations of distances and their corresponding quantities, and referring to the well shot TD curve, the total construction time for all combinations is obtained.

[0017] Based on the total construction time, the construction efficiency of the total number of blasting machines equipped in the target work area is obtained;

[0018] By comparing the construction efficiency of different numbers of blasting machines, the optimal number of blasting machines can be determined.

[0019] As one preferred option, determining the minimum required number of explosives based on the relocation time of the explosives includes:

[0020] The relocation time of the explosion machine is obtained based on the walking time and operation time;

[0021] Based on the relocation time and the average blasting interval in the target work area, the minimum number of blasting machines required is calculated according to the following formula;

[0022] The formula is:

[0023]

[0024] Among them, Num min The minimum required quantity; t0 is the moving time; t 间 This represents the average firing interval.

[0025] As one preferred embodiment, obtaining the construction length of the blasting points within the target work area, setting the total number of blasting machines, and determining the interval distance between two adjacent blasting machines includes:

[0026] Based on the transverse blasting point construction length and the longitudinal construction length within the target work area, the longitudinal construction length is taken as the blasting point construction length;

[0027] The total number of equipment is set based on the minimum equipment quantity;

[0028] The total number of explosives is evenly distributed along the construction length of the blasting point, and the interval between two adjacent explosives is set according to the following formula;

[0029] The formula is:

[0030] Δx=L / n

[0031] Where Δx is the interval distance; L is the construction length of the blast point; and n is the total number of equipment.

[0032] As one preferred embodiment, the total number of distance combinations between any two explosives in the total number of explosives to be equipped includes:

[0033] Within the total number of bombers equipped, obtain the number of distance combinations between each bomber and other bombers;

[0034] Based on the total number of distance combinations generated by each of all the bombs, the total number of distance combinations between any two bombs is calculated according to the following formula;

[0035] The formula is:

[0036]

[0037] Among them, Num 总P denoted as , where is the total number of distance combinations; and is the total number of equipment slots.

[0038] As one preferred embodiment, the total number of distance combinations between any two detonators is calculated according to the following formula, followed by:

[0039] Using the distance between any two explosives as the sole factor, the total number of distance combinations between any two explosives is updated according to the following formula;

[0040] The formula is:

[0041]

[0042] Among them, Num 总 n represents the total number of distance combinations after the update; n is the total number of equipment.

[0043] The update obtains the total number of distance combinations between any two bombers, and then includes:

[0044] Based on the total number of updated distance combinations between any two detonators, determine the number of different distance combinations between the previous detonator and the detonator to be detonated.

[0045] As one preferred embodiment, the determination of the number of different combinations corresponding to different distance combinations between the detonator to be detonated and the previous detonator, based on the distance combination types between any two detonators in the total number of detonators equipped, includes:

[0046] Within the total number of bombers equipped, obtain the types of distance combinations between any two bombers;

[0047] For any two explosive machines, the number of combinations corresponding to different distance combinations can be obtained according to the following formula;

[0048] The formula is:

[0049] M D(n-y)= n - (ny)

[0050] Among them, M D(n-y) y is the number of combinations when the distance combination is ny times the interval distance; n is the total number of equipment; y is an integer less than n.

[0051] As one preferred embodiment, the step of obtaining the proportion of each distance combination based on different distance combinations, different combinations, and the total number of distance combinations includes:

[0052] The percentage of each distance combination is obtained by comparing the number of combinations corresponding to different distance combinations with the total number of distance combinations.

[0053] As one preferred option, the total construction time for all possible combinations is obtained by referring to the well shot TD curve based on the different combination quantities corresponding to the different distance combinations, including:

[0054] Based on the different distance combinations, and referring to the well shot TD curve, determine the blasting interval corresponding to each distance combination;

[0055] Based on the different number of combinations corresponding to each of the distance combinations, the firing time corresponding to each of the distance combinations is obtained;

[0056] Based on the blasting times for each of the aforementioned distance combinations and their corresponding combination quantities, the total construction time is obtained using the following formula;

[0057] The formula is:

[0058]

[0059] Among them, T 总 T represents the total construction time; n represents the total number of equipment units; T represents the total construction time. i This refers to the time for firing the blast.

[0060] As one preferred embodiment, the method of obtaining the construction efficiency of the total number of blasting machines deployed in the target work area based on the total construction time includes:

[0061] The total construction time is converted into the number of blasts per hour, and the construction efficiency corresponding to the total number of blasting machines equipped in the target work area is obtained according to the following formula;

[0062] The formula is:

[0063]

[0064] Where η is the construction efficiency, Num 总 T represents the total number of distance combinations after the update. 总This represents the total construction time.

[0065] As one preferred embodiment, the comparison of construction efficiency with different numbers of blasting machines to determine the optimal number of blasting machines includes:

[0066] Using the total number of equipment as a standard reference, the construction efficiency of blasting machines with different preset equipment numbers is analyzed;

[0067] Based on the comparison of the construction efficiency of each corresponding number of blasting machines, the number of machines with the highest construction efficiency is taken as the optimal number of blasting machines.

[0068] Compared with the prior art, this application has the following advantages:

[0069] This invention proposes a method for optimizing the allocation of blasting machines in seismic exploration. The method involves obtaining the blasting distance (TD) curve of the well-shot blasting point within the target work area. The TD curve represents the blasting interval at different group distances. The TD curve is divided into multiple segments according to different group distance ranges. Based on the blasting machine relocation time, the minimum number of blasting machines required is determined. The construction length of the blasting points within the target work area is obtained, and the total number of blasting machines is set. The interval distance between two adjacent blasting machines is selected, wherein the total number of blasting machines is greater than the minimum number. The total number of distance combinations between any two blasting machines within the total number of blasting machines is determined. Based on the total number of blasting machines... The distance combination types between any two blasting machines are determined, and the different combination quantities corresponding to different distance combinations between the blasting machine to be blasted and the previous blasting machine are determined. Based on the different distance combinations, the different combination quantities, and the total number of distance combinations, the proportion of the number of combinations corresponding to each distance combination is obtained. Based on the different combination quantities corresponding to each of the different distance combinations, the total construction time under all combination quantities is obtained by referring to the well-blasting TD curve. Based on the total construction time, the construction efficiency of the total number of blasting machines in the target work area is obtained. The construction efficiency of blasting machines with different numbers of machines is compared to determine the optimal number of blasting machines.

[0070] By adopting the technical solution of this application, a total number of blasting machines is set, and the types, corresponding number of combinations, and total number of distance combinations between any two blasting machines (distance between the previous shot and the shot to be fired) are calculated based on the construction length of the three-dimensional target area. Based on the well shot TD curve, the corresponding firing interval is determined for different blasting machine distance combinations. The firing time of the number of shot points under the distance combination is obtained by multiplying the interval by the number of combinations corresponding to the distance combination. The total number of shot points and firing time corresponding to each distance combination can be obtained in turn. Finally, the summation is used to obtain the number of construction shots and the total construction time corresponding to the total number of blasting machines. Converting the number of shots per unit time (hour) gives the construction efficiency corresponding to the total number of blasting machines.

[0071] By comparing the construction efficiency of different numbers of blasting machines, the optimal number of blasting machines for the three-dimensional target work area can be obtained, thereby improving construction efficiency while reducing the waiting time of blasting machines and increasing equipment utilization.

[0072] Overall, projects using the methods and steps of this invention to efficiently acquire data in areas without public networks, employing BeiDou short message service and well-fired TD curves, can obtain scientifically and reasonably equipped blasting machines, ensuring cost reduction and efficiency improvement in efficient data acquisition and construction, further enhancing the acquisition benefits of seismic projects, and further enriching efficient data acquisition and construction technologies. Attached Figure Description

[0073] To more clearly illustrate the technical solution of this application, the drawings used in the description of this application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0074] Figure 1 It is the well shot TD curve implemented in the target work area;

[0075] Figure 2 This is a flowchart illustrating the steps of a method for optimizing the configuration of an explosive device for seismic exploration according to an embodiment of this application;

[0076] Figure 3 This is a layout diagram of an embodiment of the explosives described in this application, with a total number of n. Detailed Implementation

[0077] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0078] like Figure 1 As shown, Figure 1 The diagram illustrates the well shot TD curve within the target work area according to Embodiment 1 of the present invention, demonstrating the distribution trend of well shot TD curves in related technologies. It can be understood that... Figure 1 The demonstrated well-shot TD curves can characterize the general profile shape of well-shot TD curves. Among them, Figure 1 The TD curve of a well-fired blasting system reflects the relationship between the distance between blast points and the corresponding blasting interval. It is evident that the TD curve is typically composed of several line segments with different slopes, and the time distribution at different distances exhibits a non-linear relationship. Therefore, the number of blasting machines required and the construction efficiency are also non-linear. If the relationship between the number of blasting machines and construction efficiency during well-fired TD curve construction cannot be accurately described, it is impossible to scientifically and rationally allocate the number of blasting machines while ensuring construction efficiency. Insufficient blasting machines may reduce construction efficiency, while excessive blasting machines may cause long waiting times for personnel and equipment.

[0079] In actual production, it is often found that the number of blasting machines is too large, resulting in waste and reduced construction efficiency.

[0080] With the promotion and application of high-efficiency acquisition technology, there will be more and more projects based on the Beidou short message communication system + well TD curve high-efficiency excitation technology. How to accurately describe the relationship between the number of blasting machines and construction efficiency, and optimize the configuration of blasting machines while ensuring high construction efficiency, has become an urgent problem for technicians to solve.

[0081] In view of this, the present invention aims to accurately describe the relationship between the number of blasting machines deployed and construction efficiency, and provides a method for optimizing the deployment of blasting machines for seismic exploration, in order to solve the problem of scientifically optimizing the number of blasting machines when conducting efficient seismic acquisition based on BeiDou short message service. Through the research and application of this method, by fully utilizing the frequency of BeiDou short message service, and considering the blasting machine relocation time and well-blast TD curve within the construction range of the designated work area, a set of mathematical formulas describing the number of blasting machines deployed and the acquisition construction efficiency is established. By comparing and analyzing the deployment quantity of different blasting machines and their corresponding construction efficiency, the optimal deployment quantity of blasting machines can be obtained, ensuring high construction efficiency while shortening the waiting time of each group of blasting machines and improving the project's economic efficiency.

[0082] To achieve this objective, the present invention is implemented through the following specific steps:

[0083] Reference Figure 2 As shown, Figure 2 This is a flowchart illustrating the steps of the method for optimizing the configuration of an explosive device for seismic exploration as shown in this invention; as follows: Figure 2 As shown, a method for optimizing the configuration of blasting machines used in seismic exploration is applied to the efficient construction process of 2D and 3D seismic exploration on land, based on BeiDou short message communication and well-blast TD rules. The method includes the following steps:

[0084] S1. Obtain the well shot TD curve within the target work area; the well shot TD curve represents the blasting interval at different group distances.

[0085] Specifically, in the TD curve, T represents the blasting interval, and D represents the inter-group distance. The inter-group distance can be understood as the distance between two blasting machines or the distance between the blasting point to be blasted and the previous blasting point that has been completed. In this embodiment, in actual construction, the distribution of blasting points is designed according to the construction plan and is usually arranged at certain intervals within the construction area. Therefore, after knowing the distribution location of the blasting points, i.e., their geographical coordinates, the blasting machine can be placed near / beside each blasting point but within a safe range. In this construction method, the positions of the blasting machine and the blasting point can be considered nearly equivalent, and the distance between two blasting machines (the blasting machine to be blasted and the blasting machine of the previous blast) can be approximated as the distance between two corresponding blasting points (the blasting point to be blasted and the previous blasting point).

[0086] The well blasting time (TD) curve is an empirical or theoretical curve generated through extensive field data collection and analysis, reflecting the patterns observed in actual construction. Therefore, the TD curve reveals the blasting interval corresponding to the distance between the blasting point to be fired and the previous blasting point. The blasting interval is the time difference between the blasting point to be fired and the previous blasting point. Thus, different inter-group distances directly determine the corresponding blasting interval.

[0087] like Figure 1 In the well shot TD curve, the distance between the shot point to be fired and the previous shot point (inter-group distance) is different, the time interval between shots is also different, and the proportion of shot points in different shot intervals is also different.

[0088] S2. Divide the well shot TD curve into multiple different interval segments according to different inter-group distance ranges;

[0089] Specifically, there are multiple inter-group distances between each pair of multiple blasters, and these multiple inter-group distances together constitute the total inter-group distance range. Some inter-group distances divide the total inter-group distance range into several different smaller inter-group distance ranges. Since different shot point distances lead to variations in the firing interval, the well-fired TD curve can be divided into multiple different intervals based on the size of the inter-group distance range; that is, each interval includes at least one inter-group distance.

[0090] For example, based on the increasing distance between groups, each distance range corresponds to an interval segment. The range of distances between groups from 0 to X km is divided into the first interval segment, the range of XY is divided into the second interval segment, and the range of YZ is divided into the third interval segment or more interval segments.

[0091] The 0-X range, XY range, and YZ range can be the same, different, or partially the same. For example, the interval length in the 0-X range is the same as the interval length in the XY range, but shorter than the interval length in the YZ range.

[0092] The well shot TD curve is divided into different intervals. The distances between multiple groups within each interval are different, and the blasting intervals corresponding to these distances are also different.

[0093] Preferably, the intervals can be divided according to the distance between groups and the blasting interval.

[0094] For example Figure 1 The TD curve of the wellhead is divided into four segments. The inter-group distance and firing interval in each segment are different from those in other segments.

[0095] By dividing the space into intervals, the firing times corresponding to the multiple inter-group distances within each interval can be determined more quickly and accurately, allowing for the rational distribution of detonator firing tasks across different intervals. The closer the detonator to be fired is to the previous detonator (inter-group distance), the larger the firing interval; the farther the distance, the smaller the firing interval, exhibiting a non-linear relationship.

[0096] The distance between groups varies in different sections, and when the blasting machines are evenly distributed, the proportion of blast points at different firing intervals is also different. For example, the proportion of blast points of blasting machines with longer firing intervals can be smaller than the proportion of blast points of blasting machines with shorter firing intervals.

[0097] S3. Determine the minimum number of explosives required based on the relocation time of the explosives.

[0098] Specifically, based on the surface conditions of the work area and the distance between adjacent blasting points, personnel are arranged to conduct on-site tests to determine the relocation time of the blasting machine. The relocation time of the blasting machine includes travel time and operation time. Travel time includes the time it takes for the blasting machine to travel from one blasting point to the next, as well as the time it takes for the 3D construction blasting machine to move the blasting platoon; operation time includes the ignition time of the blasting machine at that blasting point. Among these, the ignition time can be understood as the ignition waiting time and wiring time of the blasting machine.

[0099] Specifically, the time for the blasting machine to move to the designated point is set as t0, in seconds, and the average firing interval is t. 间 Based on the relocation time and the average blasting interval in the target work area, the minimum number of blasting machines required can be calculated according to Formula 1.

[0100]

[0101] Among them, Num min The minimum required quantity; t0 is the moving time; t 间 This represents the average firing interval.

[0102] It should be noted that in actual construction, due to various factors, the minimum number of blasting machines should ideally be greater than the optimized number. This is because, in actual construction, the minimum number of blasting machines may not be sufficient to meet the demands of efficient construction in the event of unforeseen emergencies. Although theoretically the minimum number can complete the work, considering the complexity of the work area and unforeseen factors (such as equipment failure or operational errors), the optimized number of blasting machines should be higher than the minimum number.

[0103] S4. Obtain the construction length of the blasting points within the target work area, set the total number of blasting machines, and determine the interval distance between two adjacent blasting machines; wherein, the total number of machines is greater than the minimum number of machines.

[0104] Specifically, the construction length within the target work area is obtained through measurement or exploration, clarifying the location of each blasting point and the scale and scope of the construction area. Specifically, the lateral blasting point construction length within the target work area for the day is set as L. 横 The longitudinal construction length is L 纵 In 3D construction, generally L 横 Much smaller than L 纵 Therefore, the maximum blasting length on that day can be approximated as L. 纵 Mark the length of the blasting point construction on that day as L.

[0105] Based on the minimum number of blasting machines obtained in step S3, this determines the ideal number of blasting machines needed to meet construction requirements. To ensure sufficient blasting machines can meet construction needs even in complex terrain or unpredictable construction conditions, the total number of machines is set to be greater than the minimum number. For example, assuming the number of blasting machines deployed is n, then n is greater than Num obtained in step S3. min .

[0106] Therefore, based on the construction length of the blasting point and the reasonable total number of blasting machines, the arrangement of the blasting machines can be set to obtain the interval between two adjacent blasting machines, so as to balance the workload of each blasting machine and ensure that some blasting machines are not left waiting or idle due to insufficient number or excessive density of blasting machines during the construction process.

[0107] Therefore, as Figure 3 As shown, Figure 3 The diagram shows the layout of n explosives. The explosives are evenly distributed along the entire firing point length, with each group of explosives assigned the same firing point. The distance between adjacent explosives can be obtained using Formula 2:

[0108] Δx=L / n Formula 2

[0109] Where Δx is the interval distance; L is the construction length of the blast point; and n is the total number of equipment.

[0110] Therefore, by reasonably setting the number and deployment interval of the blasting machines, it is possible to avoid too many or too few blasting machines in a local area, coordinate the construction progress in three-dimensional construction, and avoid waiting or construction stagnation due to excessive concentration or dispersion of different blasting machines.

[0111] S5. Determine the total number of distance combinations between any two explosives in the total number of explosives equipped;

[0112] Specifically, as described in step S4, if the total number of bombers is set to n, then each bomber will have n-1 distances with the other n-1 bombers.

[0113] For ease of understanding, this embodiment uses a small number of explosive machines as an example, such as n=4. Each of the 4 explosive machines will have 3 distances with the remaining 3. As described in step S4, the distance between two adjacent explosive machines is Δx. Therefore, these 3 distances are Δx, 2Δx, and 3Δx respectively. Thus, a total of 12 distance combinations will be generated from the 4 explosive machines. One of these distance combinations represents the distance between two specific explosive machines.

[0114] Therefore, the total number of distances between any two explosive machines generated by n explosive machines is the total number of (n-1) specific distances generated by n explosive machines. It can be regarded as the number of permutations of distances between any two explosive machines in n explosive machines, that is, the total number of distance combinations.

[0115] Therefore, step S5 is as follows:

[0116] S51. Within the total number of bombers equipped, obtain the number of distance combinations between each bomber and other bombers;

[0117] S52. Based on the total number of distance combinations generated by each of all the bombs, calculate the total number of distance combinations between any two bombs according to Formula 3.

[0118]

[0119] Among them, Num 总P denoted as , where is the total number of distance combinations; and is the total number of equipment slots.

[0120] Furthermore, step S52 is followed by:

[0121] S53. Using the distance combination between any two explosive machines as the sole factor, update the total number of distance combinations between any two explosive machines according to Formula 4.

[0122]

[0123] Among them, Num 总 is the total number of distance combinations after the update; n is the total number of equipment.

[0124] In step S53, as Figure 3 As shown, considering the explosion machine S1 and the explosion machine S n Distance and the explosion machine S n The distance to the blasting machine S1 is equal. Based on the TD curve of the well gun, the blasting is only related to the distance and not the direction. Therefore, the total number of distances between any two blasting machines generated by n blasting machines can be regarded as the number of combinations of 2 out of n, so we can get Formula 4.

[0125] Preferably, the total number of distance combinations obtained by updating through Formula 4 is ultimately used as the total number of distance combinations obtained in step S5, which simplifies the complexity of calculating each shot point position separately and is used in the calculation of subsequent steps.

[0126] As mentioned above, using the distance between any two bombers as the sole factor, a total of 6 distance combinations can be generated from 4 bombers.

[0127] Furthermore, it also includes:

[0128] S54. Based on the updated total number of distance combinations between any two detonators, determine the number of different distance combinations between the previous detonator and the detonator to be detonated.

[0129] In this embodiment, step S53 shows that the distance between any firing point to be fired and the previous firing point is one of the total number of distance combinations.

[0130] Ideally, when the number of blasting points is large, the total number of blasts can be considered as Num. 总 The multiple of. One distance combination corresponds to one distance. The number of different distance combinations in the analysis is the number of different distance combinations between any two blasting machines. Combined with the well-blasting TD curve, the blasting interval corresponding to different distance combinations can be obtained (a specific distance combination corresponds to a specific inter-group distance on the well-blasting TD curve). Thus, the construction time of the number of blasting points can be obtained, and the number of blasts per unit time can be converted to obtain the construction efficiency of the blasting points with the number of samples collected by n blasting machines.

[0131] S6. Based on the distance combination type between any two explosive machines in the total number of explosive machines equipped, determine the number of different combinations corresponding to different distance combinations between the explosive machine to be activated and the previous explosive machine in the distance combination type;

[0132] Specifically, a distance combination can be understood as a specific distance between any two detonators. Different distances belong to different distance combinations, and the same distance belongs to the same distance combination. The number of distance combination types is the total number of distance combinations. In addition to each detonator generating n-1 distance combinations, the distances between any two detonators among the n detonators are also divided into n-1 categories.

[0133] For example, the number of distance combinations for 4 detonators is 6, and the number of distance combination types is 3. This means that from the 6 distance combinations, a total of 3 distance combinations can be generated: Δx, 2Δx, and 3Δx. The number of combinations with distance Δx is 3, the number of combinations with distance 2Δx is 2, and the number of combinations with distance 3Δx is 1. The sum of the number of combinations of different distance combinations also gives the total number of distance combinations.

[0134] Specifically, the distance between the nth blasting machine and itself is 0m, indicating a blasting point at the same location, which can be understood as an already constructed blasting point and is not considered. The number of distances of type n-1, from smallest to largest, is as follows:

[0135] When the distance between the two explosives is D1 = Δx, as follows: Figure 3As shown, for explosive machine S1, the distance between it and explosive machine S2 must satisfy the condition to form S1S2. For explosive machine S2, the distance between it and explosive machine S3 must satisfy the condition to form S2S3. Explosive machine S2 and explosive machine S1 forming S2S1 also satisfy the condition, but since the distance between explosive machines has no directionality, S2S1 is the same as the S1S2 formed by explosive machines S1 and S2, so it is eliminated. Only one condition is satisfied. And so on, for explosive machine S... n-1 Only with S n The distance between the explosives meets the condition to form S n-1 S n Therefore, the number of combinations corresponding to the distance between any two explosive machines is Δx, as shown in Formula 5:

[0136] M D1 =n-1 Formula 5

[0137] When the distance combination between two explosive machines is D2 = 2Δx, for explosive machine S1, only the distance between it and explosive machine S3 satisfies the condition, forming S1S3. For explosive machine S2, only the distance between it and explosive machine S4 satisfies the condition, forming S2S4. For explosive machine S3, only the distance between it and explosive machine S5 satisfies the condition, forming S3S5. Explosive machine S3 and explosive machine S1 forming S3S1 also satisfies the condition, but since the distance between explosive machines has no directionality, S3S1 is the same as S1S3 formed by explosive machines S1 and S3, so it is discarded. Only one condition is satisfied. And so on, for explosive machine S... n-2 Only with S n The distance between the explosives meets the condition to form S n-2 S n Therefore, the number of combinations corresponding to the distance between any two explosive machines being 2Δx is shown in Formula Six:

[0138] M D1 =n-2 Formula Six

[0139] Similarly, the number of combinations where the distance between two explosive machines is Dn-1 = (n-1) × Δx is shown in Formula 7:

[0140] M D(n-1) =n-(n-1)=1 Formula 7

[0141] Therefore, step S6 includes:

[0142] S61. Within the total number of bombers equipped, obtain the types of distance combinations between any two bombers;

[0143] S62. For any two explosive machines with different distance combinations, the number of combinations corresponding to the different distance combinations between any two explosive machines is obtained according to Formula 8.

[0144] M D(n-y) =n-(ny) Formula 8

[0145] Among them, M D(n-y) y is the number of combinations when the distance combination is ny times the interval distance; n is the total number of equipment; y is an integer less than n.

[0146] Therefore, when the distance combination is D1 = Δx, then ny equals 1, and M... D1 =n-1, if n is 4, the number of combinations when the distance combination is D1 = Δx is 3.

[0147] Therefore, when the distance combination is D² = 2Δx, then ny equals 2, and M... D2 =n-2, if n is 4, the number of combinations when the distance combination is D2=2Δx is 2.

[0148] Therefore, when the distance combination is Dn-1 = n-1Δx, then ny equals n-1, and M D(n-1) =1. If n is 4, the number of combinations when the distance combination is D3 = 3Δx is 1.

[0149] S7. Based on the different distance combinations, the different number of combinations, and the total number of distance combinations, obtain the proportion of the number of combinations corresponding to each distance combination;

[0150] Specifically, based on the above analogy, the different distance combinations between any two explosive machines in the n explosive machines, the corresponding number of combinations, and their proportion in the total number of distance combinations are shown in Table 1: where the proportion of the number of combinations is the proportion of the number of combinations corresponding to different distance combinations in the total number of distance combinations.

[0151] Table 1. Statistical table of the proportion of corresponding combinations under different distance combinations.

[0152] in, For Num 总 Another form of expression is the combination expression of taking 2 from n.

[0153] It is understandable that the total construction time depends not only on the absolute distance between the blasting machines, but also on the frequency of these distance combinations (i.e., the proportion of different distance combinations within the entire combination). The proportion of combinations can be used to quantify the contribution of each different distance to the total construction time. Different distance combinations may require different blasting intervals. Determining the proportion of combinations helps the construction team understand which distance combinations have the greatest impact on the total construction time, and helps the construction team to rationally allocate resources, such as the number of blasting machines and personnel scheduling.

[0154] Furthermore, by combining the proportion of combinations with the well blasting TD curve, the construction time required for different distance combinations can be calculated, and thus the total construction time can be estimated. After calculating the total construction time, the construction power can be further estimated by the number of blasts completed per unit time.

[0155] S8. Based on the different combination quantities corresponding to the different distance combinations, and referring to the well shot TD curve, obtain the total construction time under all combination quantities;

[0156] Specifically, based on the number of combinations corresponding to the different distance combinations between the blasting machines obtained in steps S6 and S7, and referring to the well-blast TD curve (i.e., one distance combination corresponds to one inter-group distance), the blasting time for different distance combinations under the corresponding number of combinations can be obtained according to the blasting intervals corresponding to different distance combinations. That is, the blasting time for each distance combination is equal to the product of its corresponding blasting interval and the number of combinations, and the sum of the blasting times for all distance combinations is the number Num. 总 Total construction time for the blasting site.

[0157] As shown in Table 2, the firing times corresponding to distance combinations from 1 to n-1 are obtained, resulting in a total number of Num bombs when setting up n bombers. 总 Total construction time for the blasting site.

[0158] Table 2. Statistics on blasting time for different distance combinations when equipped with n blasters.

[0159]

[0160] Therefore, the total construction time can be obtained according to Formula 9:

[0161]

[0162] Among them, T 总 T represents the total construction time; n represents the total number of equipment units; T represents the total construction time. i This refers to the time for firing the blast.

[0163] In this embodiment, it can be seen that the well shot TD curve is divided into different intervals, and the distance between multiple groups within each interval is different. At the same time, the blasting interval within the same interval can be the same, while the blasting interval within different intervals can be different or the same.

[0164] like Figure 1 As shown, the firing interval is the same within the same interval, but the firing interval is different in different intervals, and the range of inter-group distances is different for each interval.

[0165] Therefore, the firing interval can be determined based on the distance combination between the two blasting machines. Taking Table 2 as an example, t1' and t2' can be the same, indicating that Δx and 2Δx belong to the same interval. For example, t3' and t4' can be the same, indicating that 3Δx and 4Δx belong to the same interval, but not to the interval containing Δx and 2Δx.

[0166] S9. Based on the total construction time, obtain the construction efficiency of the total number of blasting machines equipped in the target work area;

[0167] Specifically, by converting the total construction time obtained in step S8 into the number of blasts per unit time (hour), we obtain the construction efficiency corresponding to n blasting machines in the target work area, as shown in Formula 10:

[0168]

[0169] Where η is the construction efficiency, Num 总 T represents the total number of distance combinations after the update. 总 This represents the total construction time.

[0170] S10. Compare the construction efficiency of explosion machines with different numbers of equipment to determine the optimal number of explosion machines.

[0171] Specifically, by analyzing the construction efficiency corresponding to different numbers of blasting machines based on step S9, a scientifically reasonable number of blasting machines can be obtained for the target work area. This ensures construction efficiency and maximizes equipment utilization, thereby achieving the goal of improving construction efficiency and reducing exploration costs.

[0172] Specifically, step S4 first sets a total equipment quantity, which is initially set based on the minimum required equipment quantity and can serve as a benchmark value for comparison and analysis. Next, it is necessary to analyze multiple preset equipment quantities of blasting machines. These preset equipment quantities can be ranges from the total equipment quantity. For each preset equipment quantity, steps S1-S9 are used to calculate and analyze the construction efficiency, thus obtaining the construction efficiency corresponding to each equipment quantity of blasting machines.

[0173] After analyzing the construction efficiency of different numbers of blasting machines, a comparative analysis was conducted. By comparing the efficiency of different configuration schemes, it can be determined which configuration scheme is most efficient under specific construction conditions. Therefore, based on the comparative analysis results, the optimal number of blasting machines was determined. Optimal blasting machine configuration ensures efficient construction while reducing equipment, labor, and management costs.

[0174] In summary, the above steps have completed the optimization of the number of blasting machines for efficient data acquisition. The total number of different distance combinations between different blasting machines (the previous shot and the target shot) and the number of combinations corresponding to a single distance combination were obtained. Combined with the well-blast TD curve, the firing time for the total number of shots corresponding to different distance combinations was obtained. The sum of the firing times for all shots was then calculated to obtain the total construction time for data acquisition. By comparing the time taken to complete the same number of shots with different numbers of blasting machines, and converting this to the number of shots per unit time (hour), the optimal blasting machine configuration can be obtained.

[0175] In summary, by setting a total number of blasting machines, and calculating the types, quantities, and total number of distance combinations (distance between the previous blast and the blast point to be fired) between any two blasting machines based on the construction length of the three-dimensional target area, and using the well-blast TD curve as a basis, the corresponding firing interval is determined for different blasting machine distance combinations. Multiplying this interval by the quantity of combinations corresponding to that distance combination yields the firing time for the number of blast points under that distance combination. This process is repeated to obtain the total number of blast points and firing time for each distance combination. Finally, the summation yields the number of construction blasts and the total construction time corresponding to the total number of blasting machines. Converting this to the number of blasts per unit time (hour) gives the construction efficiency corresponding to the total number of blasting machines. Then, by comparing the construction efficiency of different numbers of blasting machines, the optimal number of blasting machines for the three-dimensional target work area can be obtained. This improves construction efficiency while reducing the waiting time of blasting machines and increasing equipment utilization. Using the methods and steps of this invention, projects using Beidou short message + well-shot TD curve for efficient data acquisition in areas without public networks can obtain a scientific and reasonable number of blasting machines. This provides a guarantee for cost reduction and efficiency improvement in efficient data acquisition construction, further improves the data acquisition benefits of seismic projects, and further enriches efficient data acquisition construction technology.

[0176] The following is a detailed description of the method for optimizing the configuration of an explosive device for seismic exploration provided by the present invention:

[0177] Example 1:

[0178] This invention was applied in the heart of the Tarim Basin desert, an area characterized by undulating, high sand dunes. There was no public signal coverage in the work area, and actual production utilized BeiDou short message service combined with well-fired TD curve excitation for high efficiency. Using the methods and steps of this invention in this area, an optimized blasting machine configuration for the 3D work area was achieved. Compared to previous methods, this reduced the number of blasting machines, improved the efficiency of 3D construction data acquisition, further promoted cost reduction and efficiency improvement in data acquisition projects, and enriched efficient data acquisition and construction technologies. Specific implementation details are as follows:

[0179] 1) Divide the target work area well shot TD curve into different segments.

[0180] S101. Obtain the TD curve of the well shot within the target work area. The distance between the two blasting machines is the distance between the blasting point to be blasted and the previous blasting point that has been completed. For example... Figure 1 As shown in the well-shot TD curve, the firing time interval varies depending on the distance between the firing point and the previous shot. The well-shot TD curve is segmented according to different distances. Figure 1 The TD curve for the central well shot is divided into four segments. Among them,

[0181] The first paragraph indicates that when the distance between the detonator and the previous detonator is within the range of 0-9km (9km in length), the time interval between the detonation of the detonator and the previous detonator (fire interval) is 22s.

[0182] The second paragraph indicates that when the distance to the previous shot is within the range of 9-18km (length 9km), the time interval between the firing of this explosive device and the firing of the previous explosive device (firing interval) is 22-11s.

[0183] The third segment indicates that when the distance to the previous shot is within the range of 18-36km (length 18km), the time interval between the firing of this explosive device and the firing of the previous explosive device (firing interval) is 11s.

[0184] The fourth segment indicates that when the distance from the previous shot is greater than 36km (the length depends on the length of the shot point border; this curve can be considered as 14km), the time interval between the firing of this explosive device and the firing of the previous explosive device (firing interval) is 0s, so they can be fired simultaneously, and the efficiency is the highest at this time.

[0185] 2) Determine the minimum number of explosives based on the time required to move the explosives to the designated location.

[0186] S102. Based on the surface conditions of the work area and the distance between adjacent blasting points, arrange personnel to conduct on-site tests to determine the relocation time of the blasting machine. The relocation time of the blasting machine includes the travel time and operation time. The travel time includes the time for the blasting machine to travel from one blasting point to the next and the time for the 3D construction blasting machine to move the blasting platoon. The operation time includes the ignition time of the blasting machine at that blasting point.

[0187] The average relocation time for the blasting machine within the target work area is 110 seconds, and the average blasting interval is 14 seconds. Therefore, the minimum number of blasting machines required is:

[0188]

[0189] The minimum number of bombers required in the target area is 8.

[0190] 3) Obtain the construction length of the blasting points in the target area and set the number of blasting machines and the interval between their deployment.

[0191] S103. The horizontal blasting point construction length of the three-dimensional target area on that day is 750m for three beams, and the longitudinal construction length is 30000m. The maximum blasting point construction length on that day can be approximated as 30000m. Mark the blasting point construction length on that day as L = 30000m.

[0192] When the number of detonators is 8, where n is greater than the minimum number of detonators obtained in step 2, and they are evenly distributed along the construction length of the blasting points, with each group of detonators assigned the same blasting points, then the distance Δx between adjacent detonators is 3750m. The distribution of the detonators is shown in [reference needed]. Figure 3 ,have:

[0193]

[0194] The distance between adjacent bombers is 3750.

[0195] 4) Determine the total number of combinations corresponding to different distances between the previous and next blasting machines.

[0196] S104. Given that there are 8 explosive detonators, the total number of possible distances between any two explosive detonators can be considered as the number of combinations of 2 out of 8. Therefore:

[0197]

[0198] It can be seen that the distance between any firing point to be fired and the previous firing point belongs to Num. 总 A combination in the number of combinations.

[0199] Ideally, when the number of blasting points is around 3000, the total number of blasts used in construction can be considered as Num. 总 Multiples of. Analyze Num 总 The number of different combinations is calculated by analyzing the number of different distances between any two blasting machines. Combining this with the blasting TD curve of the well-fired machine gun, the firing interval corresponding to different combinations can be obtained, thus yielding the number as Num. 总 The construction time at the blasting site is converted to obtain the number of blasts per unit time. This leads to the calculation of the number of samples collected by 8 blasting machines, Num. 总 Construction efficiency of blasting sites.

[0200] 5) Determine the number of combinations of the detonator at the target firing point and the previous detonator at different distances.

[0201] S105, the distances between any two of the eight blasting machines are divided into seven categories. The distance between the eighth blasting machine and itself is 0m, representing blasting points in the same location, which can be understood as blasting points that have already been constructed and are not considered. The seven distance categories, in ascending order of quantity, are as follows:

[0202] When the distance between two explosive machines is D1 = 3750m, for explosive machine S1, only the distance between it and explosive machine S2 satisfies the condition, forming S1S2. For explosive machine S2, only the distance between it and explosive machine S3 satisfies the condition, forming S2S3. Explosive machine S2 and explosive machine S1 forming S2S1 also satisfy the condition, but since the distance between explosive machines has no directionality, S2S1 is the same as the S1S2 formed by explosive machines S1 and S2, so it is eliminated. Only one condition is satisfied. And so on, for explosive machine S... n-1 Only with S n The distance between the explosives meets the condition to form S n-1 S n Therefore, the number of bombers at a distance D1 = Δx between them is:

[0203] M D1 =n-1=7

[0204] When the distance between two explosive machines is D2 = 2Δx = 7500, for explosive machine S1, only the distance between it and explosive machine S3 satisfies the condition, forming S1S3. For explosive machine S2, only the distance between it and explosive machine S4 satisfies the condition, forming S2S4. For explosive machine S3, only the distance between it and explosive machine S5 satisfies the condition, forming S3S5. Explosive machine S3 and explosive machine S1 forming S3S1 also satisfies the condition, but since the distance between explosive machines has no directionality, S3S1 is the same as the S1S3 formed by explosive machines S1 and S3, so it is discarded. Only one condition is satisfied. And so on, for explosive machine S... n-2 Only with S n The distance between the explosives meets the condition to form S n- 2S n Therefore, the number of bombers when the distance between the two bombers is D2 = 12250m is:

[0205] M D2 =n-2=6

[0206] Following this logic, the number of combinations when Dn-1=(n-1)×Δx=36250m is:

[0207] M D(n-1) =n-(n-1)=1.

[0208] 6) Determine the proportion of combinations distributed at different distances.

[0209] S106. Based on the above analogy, the different distance combinations between any two of the eight explosives, the corresponding number of combinations, and their proportion in the total number of distance combinations are shown in Table 3:

[0210] Table 3. Statistical table of the proportion of corresponding combinations under different distance combinations.

[0211] Serial Number Distance combination (m) Number of combinations (groups) Total number of distance combinations (groups) Percentage of combinations (%) 1 3750 7 28 25.0 2 7500 6 28 21.4 3 11250 5 28 17.9 4 15000 4 28 14.3 5 18750 3 28 10.7 6 22500 2 28 7.1 7 26250 1 28 3.6

[0212] 7) Calculate the construction efficiency corresponding to the number of blasting machines.

[0213] S107. Based on the number of combinations corresponding to the different distances between the blasting machines obtained in S106, and referring to the well-fire TD curve, the firing time for different distance combinations under the corresponding number of combinations can be obtained according to the firing intervals corresponding to different distance combinations. The sum of the firing times is the number Num. 总 The total construction time for the blasting site. As shown in Table 4, the total construction time for the number of combinations of distances from 1 to n-1 is obtained by calculating the total number of blasting machines (Num). 总 The total construction time of the blasting site. Converting this to the number of blasts per unit time (hour), we obtain the construction efficiency corresponding to n blasting machines in the target area.

[0214] Table 4. Statistics on blasting time for different distance combinations when equipped with 8 blasting machines.

[0215]

[0216] The construction efficiency is then:

[0217]

[0218] 8) Optimize the number of blasting machines by comparing the construction efficiency of different numbers of blasting machines.

[0219] S108. Based on steps S103 to S107, analyze the construction efficiency when equipped with 9, 10, 11, 12, 13, 14, and 15 blasting machines, respectively, as shown in Table 5.

[0220] Table 5. Comparison of construction efficiency with different numbers of blasting machines

[0221] Number of Explosion Units 8 9 10 11 12 13 14 15 Group spacing 0-9km gun ratio 46.4％ 41.7％ 37.8％ 49.1％ 45.5％ 42.3％ 39.6％ 47.6％ Gun ratio with a spacing of 9-18km 32.1％ 30.6％ 40.0％ 32.7％ 31.8％ 38.5％ 37.4％ 32.4％ Gun ratio with a spacing of 18-36km 21.4％ 27.8％ 22.2％ 18.2％ 22.7％ 19.2％ 23.1％ 20.0％ Proportion of guns with a spacing of 36km or more 0.0％ 0.0％ 0.0％ 0.0％ 0.0％ 0.0％ 0.0％ 0.0％ Total average firing interval (s) 18.0 17.4 17.6 18.4 17.9 18.0 17.6 18.2 Average duration (shots / hour) 199 207 205 196 201 200 205 198

[0222] A comparison of construction efficiency obtained with different numbers of blasting machines shows that using 9 blasting machines results in the highest construction efficiency. Equipping 15 blasting machines increases the investment of personnel and equipment while reducing construction efficiency. The optimal number of blasting machines should be 9.

[0223] The above eight steps optimize the number of blasting machines for efficient data acquisition. They obtained the total number of blasting machines distributed at different distances (previous shot and the target shot) for different numbers of blasting machines, as well as the number of blasting machines at each individual distance. Combining this with the well-shot TD curve, they obtained the construction time for the total number of shots at different machine distances. By summing the construction times for all shot points, they obtained the total time for data acquisition. Comparing the time taken to complete the same number of shot points with different numbers of blasting machine groups, and converting this to the number of shots per unit time (hour), they obtained the optimal blasting machine configuration. Compared to deploying 15 blasting machines, using 9 blasting machines not only effectively reduced personnel and equipment input, but also increased the theoretical construction efficiency from 198 shots per hour to 207 shots per hour. Based on 18 hours of production per day, the theoretical daily efficiency increased from 3564 shots to 3726 shots, an increase of 162 shots, or 4.5%.

[0224] It should be noted that the various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0225] It should also be noted that, in this document, the terms "upper," "lower," "left," "right," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations, nor should they be construed as indicating or implying relative importance. Moreover, the term "comprising" or any other variation thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements, but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device.

[0226] The above provides a detailed description of a method for optimizing the configuration of an explosive device for seismic exploration. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of these embodiments are merely illustrative and should not be construed as limiting the scope of this application. Furthermore, those skilled in the art will recognize that various modifications and variations in implementation methods and application scope may occur based on this application. It is neither necessary nor possible to exhaustively list all possible implementation methods here, but any obvious changes or modifications derived therefrom remain within the protection scope of this application.

Claims

1. A method for optimizing the configuration of explosives used in seismic exploration, characterized in that, include: Obtain the well shot TD curve within the target work area; the well shot TD curve represents the blasting interval at different group distances. The well shot TD curve is divided into multiple different intervals according to different inter-group distance ranges; Determine the minimum number of explosives required based on the relocation time of the explosives; Obtain the construction length of the blasting points within the target work area, set the total number of blasting machines, and determine the interval distance between two adjacent blasting machines; wherein, the total number of machines is greater than the minimum number of machines; Determine the total number of distance combinations between any two explosives in the total number of explosives deployed; Based on the distance combination types between any two explosive machines in the total number of explosive machines equipped, determine the number of different combinations corresponding to different distance combinations between the explosive machine to be activated and the previous explosive machine in the distance combination types; Based on the different distance combinations, the different number of combinations, and the total number of distance combinations, the percentage of the number of combinations corresponding to each distance combination is obtained; Based on the different combinations of distances and their corresponding quantities, and referring to the well shot TD curve, the total construction time for all combinations is obtained. Based on the total construction time, the construction efficiency of the total number of blasting machines equipped in the target work area is obtained; By comparing the construction efficiency of different numbers of blasting machines, the optimal number of blasting machines can be determined.

2. The method for optimizing the configuration of an explosive device for seismic exploration according to claim 1, characterized in that, The determination of the minimum required number of explosives based on the relocation time of the explosives includes: The relocation time of the explosion machine is obtained based on the walking time and operation time; Based on the relocation time and the average blasting interval in the target work area, the minimum number of blasting machines required is calculated according to the following formula; The formula is: Among them, Num min The minimum required quantity; t0 is the moving time; t 间 This represents the average firing interval.

3. The method for optimizing the configuration of an explosive device for seismic exploration according to claim 1, characterized in that, The process of obtaining the construction length of the blasting points within the target work area, setting the total number of blasting machines, and determining the interval distance between two adjacent blasting machines includes: Based on the transverse blasting point construction length and the longitudinal construction length within the target work area, the longitudinal construction length is taken as the blasting point construction length; The total number of equipment is set based on the minimum equipment quantity; The total number of explosives is evenly distributed along the construction length of the blasting point, and the interval between two adjacent explosives is set according to the following formula; The formula is: Δx=L / n Where Δx is the interval distance; L is the construction length of the blast point; and n is the total number of equipment.

4. The method for optimizing the configuration of an explosive device for seismic exploration according to claim 1, characterized in that, The total number of distance combinations between any two explosives in the total number of explosives to be equipped includes: Within the total number of bombers equipped, obtain the number of distance combinations between each bomber and other bombers; Based on the total number of distance combinations generated by each of all the bombs, the total number of distance combinations between any two bombs is calculated according to the following formula; The formula is: Among them, Num 总P denoted as , where is the total number of distance combinations; and is the total number of equipment slots.

5. The method for optimizing the configuration of an explosive device for seismic exploration according to claim 4, characterized in that, The total number of distance combinations between any two explosive devices is calculated according to the following formula, followed by: Using the distance between any two explosives as the sole factor, the total number of distance combinations between any two explosives is updated according to the following formula; The formula is: Among them, Num 总 is the total number of distance combinations after the update; n is the total number of equipment.

6. A method for optimizing the configuration of an explosive device for seismic exploration according to claim 1 or 3, characterized in that, The method for determining the number of different distance combinations between any two explosive machines in the total number of explosive machines deployed, based on the distance combination types between the explosive machine to be detonated and the previous explosive machine, includes: Within the total number of bombers equipped, obtain the types of distance combinations between any two bombers; For any two explosive machines, the number of combinations corresponding to different distance combinations can be obtained according to the following formula; The formula is: M D ( n - y )=n-(n-y) Among them, M D(n-y) y is the number of combinations when the distance combination is ny times the interval distance; n is the total number of equipment; y is an integer less than n.

7. The method for optimizing the configuration of an explosive device for seismic exploration according to claim 6, characterized in that, The step of obtaining the proportion of each distance combination based on different distance combinations, the number of different combinations, and the total number of distance combinations includes: The percentage of each distance combination is obtained by comparing the number of combinations corresponding to different distance combinations with the total number of distance combinations.

8. The method for optimizing the configuration of an explosive device for seismic exploration according to claim 5, characterized in that, Based on the different combinations of distances and their corresponding quantities, and referring to the well-shot TD curve, the total construction time for all combinations is obtained, including: Based on the different distance combinations, and referring to the well shot TD curve, determine the blasting interval corresponding to each distance combination; Based on the different number of combinations corresponding to each of the distance combinations, the firing time corresponding to each of the distance combinations is obtained; Based on the blasting times for each of the aforementioned distance combinations and their corresponding combination quantities, the total construction time is obtained using the following formula; The formula is: Among them, T 总 T represents the total construction time; n represents the total number of equipment units; T represents the total construction time. i This refers to the time for firing the blast.

9. A method for optimizing the configuration of an explosive device for seismic exploration according to claim 8, characterized in that, The method of determining the construction efficiency of the total number of blasting machines deployed in the target work area based on the total construction time includes: The total construction time is converted into the number of blasts per hour, and the construction efficiency corresponding to the total number of blasting machines equipped in the target work area is obtained according to the following formula; The formula is: Where η is the construction efficiency, Num 总 T represents the total number of distance combinations after the update. 总 This represents the total construction time.

10. A method for optimizing the configuration of an explosive device for seismic exploration according to claim 1, characterized in that, The comparison of construction efficiency with different numbers of blasting machines to determine the optimal number of blasting machines includes: Using the total number of equipment as a standard reference, the construction efficiency of blasting machines with different preset equipment numbers is analyzed; Based on the comparison of the construction efficiency of each corresponding number of blasting machines, the number of machines with the highest construction efficiency is taken as the optimal number of blasting machines.

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