A trap screening method and device, electronic equipment and storage medium

Abstract

Embodiments of the present application disclose a trap screening method and device, electronic equipment and storage medium. The method can comprise: for each target layer in at least one target layer on an exploration area of a to-be-screened trap, determining an oil and gas weight coefficient of the target layer according to oil and gas initial production data and oil and gas cumulative production data of the target layer, and determining an oil and gas resource amount of each identified trap on the target layer; for each trap in all identified traps on the exploration area, taking a target layer associated with the trap in the at least one target layer as an associated layer; obtaining a total resource amount of the trap according to the obtained oil and gas weight coefficient corresponding to at least one associated layer and the oil and gas resource amount corresponding to the trap on the at least one associated layer; and screening a target trap of the exploration area from all traps according to the total resource amount corresponding to each trap. The technical scheme of the embodiments of the present application can screen a target trap that guarantees successful production.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the technical field of oil and gas exploration, and particularly relate to a trap screening method and device, an electronic device, and a storage medium. BACKGROUND

[0002] Oil and gas is the blood of modern industry, and ensuring oil and gas energy supply is the cornerstone of ensuring rapid economic development. Oil and gas is mainly stored in underground porous rocks. Due to the spatial heterogeneity of the properties of the reservoirs, the oil and gas enrichment levels in different reservoirs in an oil and gas bearing basin are different. For example, in the same oil and gas bearing basin, the oil and gas production of the same well in different reservoirs is different. Therefore, trap optimization is very important for the success of drilling.

[0003] It should be noted that for a mature exploration area (i.e., a high exploration degree area), drilling needs not only to achieve geological success (e.g., discovery of oil and gas, etc.), but also to achieve production success. Compared with the former, the mature exploration area pays more attention to the latter.

[0004] However, the current trap screening scheme cannot guarantee production success, and needs to be improved. SUMMARY

[0005] Embodiments of the present application provide a trap screening method, device, electronic device, and storage medium to achieve effective screening of target traps that can guarantee production success.

[0006] According to an aspect of the present application, a trap screening method can include:

[0007] For each target layer in at least one target layer on the exploration area of the trap to be screened, determining an oil and gas weight coefficient of the target layer according to oil and gas initial production data and oil and gas cumulative production data of the target layer, and respectively determining an oil and gas resource amount of each trap identified on the target layer;

[0008] For each trap in all traps identified on the exploration area, taking the target layer associated with the trap in the at least one target layer as an associated layer;

[0009] According to the oil and gas weight coefficient respectively corresponding to the at least one associated layer obtained, and the oil and gas resource amount respectively corresponding to the trap on the at least one associated layer, obtaining a total resource amount of the trap;

[0010] According to the total resource amount respectively corresponding to each trap in all traps, screening a target trap of the exploration area from all traps.

[0011] According to another aspect of the present application, a trap screening device can include:

[0012] The oil and gas resource determination module is used to determine the oil and gas weight coefficient of each target layer in at least one target layer in the exploration area to be screened, based on the initial oil and gas production data and cumulative oil and gas production data of the target layer, and to determine the oil and gas resource quantity of each identified trap in the target layer respectively.

[0013] The association layer module is used to, for each of all identified traps in the exploration area, use at least one target layer associated with the trap as the association layer.

[0014] The total resource quantity acquisition module is used to obtain the total resource quantity of the trap based on the oil and gas weight coefficients corresponding to at least one associated layer and the oil and gas resource quantities corresponding to the trap at at least one associated layer.

[0015] The trap selection module is used to select target traps for the exploration area from all traps based on the total resource quantity corresponding to each trap.

[0016] According to another aspect of the present invention, an electronic device is provided, which may include:

[0017] At least one processor; and

[0018] A memory that is communicatively connected to at least one processor; wherein,

[0019] The memory stores a computer program that can be executed by at least one processor, such that when the at least one processor executes the program, it implements the trapping screening method provided in any embodiment of the present invention.

[0020] According to another aspect of the present invention, a computer-readable storage medium is provided having computer instructions stored thereon for causing a processor to execute and implement the trapping and screening method provided in any embodiment of the present invention.

[0021] The technical solution of this invention involves determining the oil and gas weight coefficient of each target layer in at least one target layer of an exploration area to be screened, based on the initial oil and gas production data and cumulative oil and gas production data of the target layer, and determining the oil and gas resource quantity of each identified trap in the target layer; for each trap in all identified traps in the exploration area, the target layer associated with the trap in at least one target layer is designated as an associated layer; based on the oil and gas weight coefficients corresponding to the at least one associated layer and the oil and gas resource quantity of the trap in the at least one associated layer, the total resource quantity of the trap is obtained; and based on the total resource quantity corresponding to each trap in all traps, the target traps of the exploration area are screened from all traps. The above technical solution uses an oil and gas weighting coefficient to reflect the differences in initial and large-scale oil and gas production of different target layers. By using the oil and gas weighting coefficient to determine the total resource volume, the proportion of oil and gas resources in target layers with high initial and high cumulative production can be effectively increased. Based on this, traps can be screened, which can effectively improve the rationality and scientific nature of trap screening, thereby increasing the probability of drilling to obtain high cumulative and high initial production.

[0022] It should be understood that the description in this section is not intended to identify key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is a flowchart of a trap screening method provided according to an embodiment of the present invention;

[0025] Figure 2 This is a flowchart of another closed screening method provided according to an embodiment of the present invention;

[0026] Figure 3 This is a flowchart of another trap screening method provided according to an embodiment of the present invention;

[0027] Figure 4 This is a schematic diagram of the well seismic stratigraphic calibration results in another trap screening method provided by an embodiment of the present invention;

[0028] Figure 5This is a schematic diagram of the seismic tracking interpretation profile of the main target layer in the east-west direction of the exploration area in another trap screening method provided by the present invention;

[0029] Figure 6 This is a schematic diagram of the top depth domain construction of the LUT in another closed screening method provided according to an embodiment of the present invention;

[0030] Figure 7 This is a schematic diagram of the LUT and LUF reservoir seismic inversion prediction profile in another trap screening method provided by the present invention.

[0031] Figure 8 This is a schematic diagram of the LUT reservoir thickness planar distribution in another trap screening method provided according to an embodiment of the present invention;

[0032] Figure 9 This is a schematic diagram of the trap distribution of four sets of target layers (LUT, LUF, UT, and LT) in another trap screening method provided according to an embodiment of the present invention.

[0033] Figure 10 This is a structural block diagram of a closed screening device provided according to an embodiment of the present invention;

[0034] Figure 11 This is a schematic diagram of the structure of an electronic device that implements the trapping screening method of the present invention. Detailed Implementation

[0035] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0036] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. The same applies to "target," "original," etc., and will not be repeated here. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0037] Figure 1 This is a flowchart of a trap screening method provided in an embodiment of the present invention. This embodiment is applicable to the case of trap selection in exploration areas, especially to the case of multi-target layer trap selection in mature exploration areas. The method can be executed by the trap screening device provided in this embodiment of the present invention. The device can be implemented by software and / or hardware, and can be integrated into an electronic device, which can be various user terminals or servers.

[0038] See Figure 1 The method of this invention specifically includes the following steps:

[0039] S110. For each target layer in at least one target layer in the exploration area to be screened for traps, determine the oil and gas weight coefficient of the target layer based on the initial oil and gas production data and cumulative oil and gas production data of the target layer, and determine the oil and gas resource quantity of each identified trap in the target layer respectively.

[0040] In this context, the exploration area can be understood as the region where target traps are to be selected for oil and gas exploration. Considering the potential application scenarios of this invention, it can be either a low-exploration-level area or a high-exploration-level area (i.e., a mature exploration area), particularly a mature exploration area. The target layer can be understood as an exploitable oil and gas reservoir within the exploration area. The number of target layers can be one, two, or more, depending on the specific circumstances, and is not specifically limited here.

[0041] For each of at least one target layer, the initial oil and gas production data of that target layer can be understood as data related to initial oil and gas production, such as the initial production of each production well in that target layer or the total initial production of all production wells, etc., without specific limitations. The cumulative oil and gas production data of that target layer can be understood as data related to cumulative oil and gas production, such as the cumulative production of each production well in that target layer or the total cumulative production of all production wells, etc., without specific limitations. By obtaining the initial and cumulative oil and gas production data of the target layer, the oil and gas weighting coefficient of that target layer can be determined based on these data. Thus, the oil and gas weighting coefficient reflects whether the target layer is a reservoir with high initial and high cumulative production, which helps to highlight the differences between different target layers.

[0042] S120. For each of the identified traps in the exploration area, at least one target layer associated with the trap is designated as the associated layer.

[0043] Here, a trap can be understood as an identified trap in the exploration area. The number of traps can be one, two, or more, depending on the actual situation, and no specific limit is made here. For each trap among all the identified traps, at least one target layer associated with that trap is taken as the associated layer, that is, the target layer containing the trap is taken as the associated layer. The number of associated layers can be one, two, or more, depending on the actual situation, and no specific limit is made here.

[0044] S130. Based on the oil and gas weight coefficients corresponding to at least one associated layer and the oil and gas resources corresponding to the trap at at least one associated layer, the total resource quantity of the trap is obtained.

[0045] Specifically, for each of the at least one associated layers to which the trap is associated, the amount of oil and gas resources corresponding to the trap at that associated layer can be understood as the amount of oil and gas resources within the area delineated by the trap at that associated layer. Based on this, the total resource amount of the trap can be obtained according to the oil and gas weight coefficients corresponding to the at least one associated layer and the amount of oil and gas resources corresponding to the trap at the at least one associated layer.

[0046] It should be noted that the total resource volume mentioned above is not simply obtained by mathematically adding up the oil and gas resources corresponding to the trap on each of the at least one associated layer. Instead, it is obtained by fully considering the differences in initial and large-scale oil and gas production of different associated layers (i.e., oil and gas weight coefficients). This is conducive to increasing the proportion of oil and gas resources in associated layers with high initial and large-scale production in the total resource volume. In combination with subsequent steps, this helps to screen out target traps that can guarantee production success.

[0047] S140. Based on the total resource quantity corresponding to each trap in the total number of traps, select the target traps for the exploration area from the total number of traps.

[0048] After obtaining the total resource amount corresponding to each trap in the exploration area, target traps can be selected from these traps based on these total resource amounts. For example, the trap with the largest or relatively large total resource amount can be used as the target trap. The target trap can effectively ensure the production success of drilling (i.e., high initial production and high cumulative production), thereby greatly improving the economic efficiency of the project.

[0049] The technical solution of this invention involves determining the oil and gas weight coefficient of each target layer in at least one target layer of an exploration area to be screened, based on the initial oil and gas production data and cumulative oil and gas production data of the target layer, and determining the oil and gas resource quantity of each identified trap in the target layer; for each trap in all identified traps in the exploration area, the target layer associated with the trap in at least one target layer is designated as an associated layer; based on the oil and gas weight coefficients corresponding to the at least one associated layer and the oil and gas resource quantity of the trap in the at least one associated layer, the total resource quantity of the trap is obtained; and based on the total resource quantity corresponding to each trap in all traps, the target traps of the exploration area are screened from all traps. The above technical solution uses an oil and gas weighting coefficient to reflect the differences in initial and large-scale oil and gas production of different target layers. By using the oil and gas weighting coefficient to determine the total resource volume, the proportion of oil and gas resources in target layers with high initial and high cumulative production can be effectively increased. Based on this, traps can be screened, which can effectively improve the rationality and scientific nature of trap screening, thereby increasing the probability of drilling to obtain high cumulative and high initial production.

[0050] An optional technical solution, after screening the target traps in the exploration area from all traps, further includes: determining the drilling location within the reservoir development area of ​​the target trap based on the corresponding hydrocarbon enrichment control factors. It has been proven in practice that different production wells in the same oil and gas basin can have significantly different oil and gas production rates in the same reservoir; therefore, optimizing the drilling location is crucial for drilling success. Hydrocarbon enrichment control factors can be understood as factors that control the degree of hydrocarbon enrichment, such as reservoir sweet spots and structural highs. For the reservoir development area within the target trap, the drilling location can be determined based on the corresponding hydrocarbon enrichment control factors. This technical solution, by optimizing the drilling location, further ensures the probability of economic drilling success.

[0051] Figure 2This is a flowchart of another trap screening method provided by an embodiment of the present invention. This embodiment is an optimization based on the above-described technical solutions. In this embodiment, optionally, the oil and gas weight coefficient of the target layer is determined according to the initial oil and gas production data and cumulative oil and gas production data of the target layer, including: obtaining the initial oil and gas production data and cumulative oil and gas production data of the target layer; determining the drilling economic compliance rate of the target layer according to the initial oil and gas production data and cumulative oil and gas production data; and determining the total cumulative production of the target layer according to the cumulative oil and gas production data; determining the maximum cumulative production with the largest value among the total cumulative production corresponding to at least one target layer; and determining the oil and gas weight coefficient of the target layer according to the drilling economic compliance rate, the total cumulative production, and the maximum cumulative production. The explanations of terms that are the same as or corresponding to those in the above embodiments are not repeated here.

[0052] See Figure 2 The method in this embodiment may specifically include the following steps:

[0053] S210. For each target layer in at least one target layer in the exploration area to be screened for traps, obtain the initial oil and gas production data and cumulative oil and gas production data of the target layer.

[0054] S220. Based on the initial oil and gas production data and the cumulative oil and gas production data, determine the drilling economic achievement rate of the target layer, and based on the cumulative oil and gas production data, determine the total cumulative production of the target layer.

[0055] The drilling economic compliance rate can be understood as the rate of economic benefit achieved after drilling in the target formation. It is determined based on initial oil and gas production data and cumulative oil and gas production data. Total cumulative production can be understood as the sum of the cumulative production of all producing wells in the target formation. It is determined based on cumulative oil and gas production data.

[0056] S230. Determine the maximum cumulative output value among the total cumulative output values ​​corresponding to at least one target layer.

[0057] The maximum cumulative output can be understood as the total cumulative output with the largest value among all the total cumulative outputs corresponding to all target layers.

[0058] S240. Determine the oil and gas weight coefficient of the target layer based on the drilling economic compliance rate, total cumulative production, and maximum cumulative production.

[0059] Based on the drilling economic compliance rate, total cumulative production, and maximum cumulative production obtained above, the oil and gas weight coefficient is determined. This allows the oil and gas weight coefficient to be linked to the drilling economic compliance rate, total cumulative production, and maximum cumulative production, which helps to further ensure the economic maximization of the target traps selected subsequently.

[0060] S250. Determine the amount of oil and gas resources in each identified trap on the target layer.

[0061] S260. For each of all identified traps in the exploration area, at least one target layer associated with the trap shall be designated as the associated layer.

[0062] S270. Based on the oil and gas weight coefficients corresponding to at least one associated layer and the oil and gas resources corresponding to the trap at at least one associated layer, the total resource quantity of the trap is obtained.

[0063] S280. Based on the total resource volume corresponding to each trap in the total number of traps, select the target traps for the exploration area from the total number of traps.

[0064] The technical solution of this invention determines the drilling economic achievement rate and total cumulative production of the target layer, as well as the maximum cumulative production among all total cumulative productions, and then determines the oil and gas weight coefficient based on these three factors. This helps to further ensure the economic maximization of the target traps selected subsequently.

[0065] An optional technical solution includes initial oil and gas production data, which may include the initial production rate of each production well in the target formation; cumulative oil and gas production data, which may include the cumulative production rate of each production well; and determining the drilling economic achievement rate of the target formation based on the initial oil and gas production data and the cumulative oil and gas production data, which may include:

[0066] Determine the number of production wells in the target layer, as well as the economic limit daily production and economic limit cumulative production of a single well in the exploration area; based on the initial production of each production well, determine the first number of production wells in the target layer whose initial production exceeds the economic limit daily production; based on the cumulative production of each production well, determine the second number of production wells in the target layer whose cumulative production exceeds the economic limit cumulative production; based on the first number and the number of wells, determine the first ratio, and based on the second number and the number of wells, determine the second ratio; based on the first ratio and the second ratio, determine the drilling economic achievement rate of the target layer.

[0067] The above technical solution enables the rapid and accurate determination of the drilling economic compliance rate.

[0068] Figure 3This is a flowchart of another trap screening method provided by an embodiment of the present invention. This embodiment is an optimization based on the above-mentioned technical solutions. In this embodiment, optionally, the above-mentioned trap screening method further includes: determining the reservoir type of the target layer, and the top depth domain structural map and / or reservoir thickness planar distribution map of the target layer; when the trap corresponding to the reservoir type is a structural trap, identifying the structural trap on the target layer according to the top depth domain structural map; when the trap corresponding to the reservoir type is a lithological trap, identifying the lithological trap on the target layer according to the reservoir thickness planar distribution map; when the trap corresponding to the reservoir type is a structural-lithological trap, identifying the structural-lithological trap on the target layer according to the reservoir thickness planar distribution map and the reservoir thickness planar distribution map. The explanations of terms that are the same as or corresponding to those in the above embodiments are not repeated here.

[0069] See Figure 3 The method in this embodiment may specifically include the following steps:

[0070] S310. For each target layer in at least one target layer in the exploration area to be screened for traps, determine the oil and gas weight coefficient of the target layer based on the initial oil and gas production data and cumulative oil and gas production data of the target layer.

[0071] S320. Determine the reservoir type of the target layer, and the top depth domain structural map and / or reservoir thickness planar distribution map of the target layer.

[0072] S330. When the trap corresponding to the reservoir type is a structural trap, identify the structural trap on the target layer based on the top depth domain structural map.

[0073] When the trap corresponding to the reservoir type is a lithological trap, the lithological trap on the target layer is identified based on the reservoir thickness planar distribution map.

[0074] When the trap corresponding to the reservoir type is a structural-lithological trap, the structural-lithological trap on the target layer can be identified based on the reservoir thickness planar distribution map.

[0075] S340. Determine the amount of oil and gas resources in each identified trap on the target layer.

[0076] The traps described in this step may be structural traps, lithological traps, or structural-lithological traps, etc., which are related to the actual situation and are not specifically limited here.

[0077] S350. For each of the identified traps in the exploration area, at least one target layer associated with the trap shall be designated as the associated layer.

[0078] S360. Based on the oil and gas weight coefficients corresponding to at least one associated layer and the oil and gas resources corresponding to the trap at at least one associated layer, the total resource quantity of the trap is obtained.

[0079] S370. Based on the total resource volume corresponding to each trap in the entire set of traps, select the target traps for the exploration area from the entire set of traps.

[0080] The technical solution of this invention achieves accurate trap identification by determining the reservoir type of the target layer and identifying the corresponding traps based on the reservoir type.

[0081] An optional technical solution, the above-mentioned trap screening method, further includes:

[0082] Well-seismic horizon calibration is performed on the target layer, and seismic tracking interpretation is performed based on the obtained well-seismic horizon calibration results in order to compile a time-domain structural map of the top surface of the target layer.

[0083] Establish the time-depth relationship of the exploration area, and compile the top surface depth-domain structure map based on the time-depth relationship of the exploration area and the top surface time domain structure map.

[0084] Seismic inversion prediction of the reservoir is performed for the target layer to obtain a planar distribution map of the reservoir thickness.

[0085] The above technical solution enables the effective compilation of top surface depth domain structural maps and the effective acquisition of reservoir thickness planar distribution maps, thereby achieving the effective identification of traps.

[0086] Based on this, optionally, the oil and gas resources of each identified trap on the target layer can be determined, including:

[0087] Draw a trap distribution map based on each trap identified on the target layer;

[0088] Based on the trap distribution map, the top surface depth domain structure map, and the reservoir thickness planar distribution map, the trap area, trap closure degree, and reservoir thickness are obtained.

[0089] Based on the logging interpretation results of the drilled wells in the exploration area, the porosity and oil saturation distribution range of the target layer are statistically analyzed.

[0090] The volume factor is obtained based on crude oil experimental analysis data from the exploration area or adjacent areas of the exploration area.

[0091] The amount of oil and gas resources in each trap is determined based on at least one of the following: trap area, trap closure degree, reservoir thickness, porosity, oil saturation distribution range, and volume coefficient.

[0092] The above technical solution enables accurate determination of oil and gas resource quantities.

[0093] To better understand the various technical solutions described above, specific examples are provided below. Examples:

[0094] 1) Through comprehensive geological analysis, identify at least one target layer and the type of oil reservoir developed in the exploration area.

[0095] ① Conduct regional surveys and analyses, collect research data on the basins where the exploration area is located, and clarify the vertical reservoir development characteristics;

[0096] ② Collect relevant data on discovered oil and gas reservoirs in the basin, and determine the stratigraphic position information and reservoir type information of the oil and gas reservoirs;

[0097] ③ Conduct comprehensive logging interpretation of wells drilled in the exploration area, and collect stratigraphic information on reservoirs and oil layers encountered during drilling; conduct an analysis of discovered oil reservoirs in the exploration area and analyze reservoir types;

[0098] ④Based on the information from ① to ③ (i.e., comprehensive geological analysis), identify at least one target layer that is vertically developed in the exploration area, and name it R in sequence. i (i is a natural number), and the reservoir types developed in different target layers are clearly defined.

[0099] 2) Top surface structural map and reservoir distribution prediction of the target layer

[0100] ① Conduct well-seismic stratigraphic calibration to determine the target stratigraphic layer R. i The seismic response characteristics are determined, and the time-depth relationship in the exploration area is established: d = f(t), where d is the depth, which can be in meters (m); t is the time, which can be in milliseconds (ms).

[0101] ②Based on the well seismic stratigraphic calibration results, complete the calibration of the target stratigraphic layer R. i Earthquake tracking interpretation, compilation of target layer R i The top time domain construction diagram is obtained, and then the target layer R is compiled based on the established d = f(t). i Top surface depth domain construction diagram D Ri (i is a natural number);

[0102] ③ Conduct target layer R i Seismic inversion prediction of reservoirs, clearly defining the reservoir thickness planar distribution map M of the target layer Ri. Ri (i is a natural number).

[0103] 3) Determine the target layer R i Oil and gas weighting coefficient

[0104] ① Determine the economic limit daily production of a single well in the exploration area (L) 日产_Ri ) and the economic limit of single well cumulative production (L累产_Ri );

[0105] ② Establish a production dynamics database for production wells in the exploration area, used for statistical analysis of R in the target layer. i Number of production wells (N) Ri Total cumulative production (TOTAL.CUM.Oil) Ri The initial production of a single well is greater than the economic limit daily production of a single well (L). 日产_Ri The first number of production wells NI Ri The cumulative production of a single well is greater than the economic limit cumulative production of a single well (L) 累产_Ri The second number of production wells (NC) Ri ;

[0106] ③ Calculate the target layer R i Drilling economic compliance rate FE Ri

[0107] The first ratio RI is calculated using the following formula. Ri (This value is between 0 and 1): RI Ri =NI Ri / N Ri That is, the first ratio RI Ri This indicates that the initial production of a single well is greater than the economic limit daily production of a single well (L). 日产_Ri The ratio of )

[0108] The second ratio RC is calculated using the following formula. Ri (This value is between 0 and 1): RC Ri =NC Ri / N Ri That is, the second ratio RC Ri This indicates that the cumulative production of a single well is greater than the economic limit cumulative production of a single well (L). 累产_Ri The ratio of )

[0109] The drilling economic achievement rate FE within the target formation Ri is then calculated using the following formula. Ri FE Ri =(RI) Ri+ 2*RC Ri ) / 3;

[0110] ④ Calculate the target layer R i Oil and gas weighting coefficient F Ri

[0111] According to the target layer R i Total cumulative production (TOTAL.CUM.Oil) Ri ) and the maximum cumulative production of a single target layer in the exploration area MAX.(TOTAL.CUM.Oil), calculate the target layer R i Oil and gas weighting coefficient F RiThe calculation formula is as follows:

[0112] F Ri =FE Ri* (TOTAL.CUM.Oil Ri ) / MAX(TOTAL.CUM.Oil).

[0113] 4) Target layer R i Trap identification and oil and gas resource assessment

[0114] ①Target layer R i Closure recognition

[0115] Based on the main reservoir types identified in step 1), different types of traps are identified according to reservoir type, and each target layer (R) is plotted. i MT trap distribution map Ri (i is a natural number):

[0116] Structural traps can be constructed based on the target layer R. i Top surface depth domain construction diagram D Ri Identification; lithological traps can be identified based on the target layer R. i Reservoir thickness planar distribution map M Ri Identification; structural-lithological traps can be identified based on the target layer R. i Top surface depth domain construction diagram D Ri And reservoir thickness planar distribution map M Ri Joint identification. After delineating all traps, each trap is sequentially named T. Ri-j (i and j are both natural numbers). It is worth noting that when a trap develops into a superimposed trap in different target layers, the j value can be kept the same when naming it.

[0117] ② Calculation of oil and gas resources in the trap

[0118] First, according to the target layer R i MT trap distribution map Ri Reservoir thickness planar distribution map M Ri and top surface depth domain construction diagram D Ri Read the trap area, trap closure degree and target layer R i Data such as reservoir thickness were collected; then, based on the well logging interpretation results of the drilled wells in the exploration area, the target layer R was statistically analyzed. i The porosity and oil saturation distribution range are determined; then, based on crude oil experimental analysis data from the exploration area or adjacent areas, the volume factor is obtained; finally, the Monte Carlo method is used to calculate the oil and gas resource quantity (OOIP) of each trap in each target layer, with the target layer R... i A closed T during development Ri-j For example, the loop is located at the target layer R. iThe amount of oil and gas resources can be written as OOIP. TRi-j Other traps are similar.

[0119] 5) Calculation of total resources within the enclosure

[0120] ① For cases where there is only one target stratum R in the vertical direction i Developmental T-cell trap Ri-j Its total resource volume TOOIP TRi-j Equal to the closed loop T Ri-j In the target layer R i Oil and gas resources OOIP TRi-j Multiply by the target layer R i Oil and gas weighting coefficient F Ri Specifically, it can be calculated using the following formula: TOOIP TRi-j =F Ri ×OOIP TRi-j ;

[0121] ②When a closed loop T Ri-j When multiple target layers develop into traps in a vertical direction, the total resource volume (TOOIP) is... TRi-j It can be equal to the closed loop T Ri-j The sum of the oil and gas resources of each target layer multiplied by the oil and gas weighting coefficient of that target layer is specifically calculated using the following formula: TOOIP TRi-j =F R1 ×OOIP TR1-j +F R2 ×OOIP TR2-j +·····F Ri ×OOIP TRi-j .

[0122] 6) Target trap selection and drilling location (i.e., well location) selection

[0123] Based on the total resource quantity TOOIP of each trap calculated in step 5), TRi-j The numerical value is used to queue all the traps, and then the one that is ranked first or last in the queue (i.e., the total resource TOOIP) is ranked. TRi-j The largest trap is selected as the preferred target trap. Based on this, well locations with relatively high structural features are further selected within the reservoir development area of ​​the target trap to provide final well location recommendations.

[0124] The above example proposes two parameters: the target layer's oil and gas weighting coefficient and the drilling economic achievement rate. These parameters are linked to the first ratio of the target layer's initial production exceeding the single well's economic limit daily production, the second ratio of the single well's cumulative production exceeding the single well's economic limit cumulative production, and the total cumulative production. This fully considers the differences between different target layers. Using this oil and gas weighting coefficient can effectively increase the proportion of oil and gas resources in the total resources of target layers with high initial and high cumulative production, thereby improving the scientificity and rationality of trap queuing. This can effectively increase the probability of drilling to obtain high cumulative and high initial production, and greatly improve economic efficiency.

[0125] To illustrate further, let's take the optimization of the Cretaceous traps in Block X of the Orient Basin as an example. Block X is generally a southwest-dipping monocline with faults at its eastern and western boundaries, and no well-developed faults within the block.

[0126] 1) The Cretaceous strata in the exploration area contain multiple target layers, including LUT, LUF, UT, and LT.

[0127] 2) Different reservoir types develop in different target layers. Among them, LUT and UT develop structural-lithological composite and lithological reservoirs, while LT and LUF develop structural reservoirs.

[0128] 3) Seismic stratigraphic determination using data from 15 production wells (see...) Figure 4 This allows for the clarification of seismic response characteristics of LUT, LUF, UT, and LT, and the establishment of time-depth relationships within the exploration area; further, it enables seismic tracking interpretation of the target layer (see [link to seismic data]). Figure 5 It can complete the top surface time domain construction map and the top surface depth domain construction map of the target layer (see...). Figure 6 );

[0129] 4) Conduct reservoir seismic inversion prediction using LUT, LUF, UT, and LT (see [reference]). Figure 7 Four sets of target reservoir thickness planar distribution maps were obtained (see...). Figure 8 );

[0130] 5) Based on historical data statistics of the exploration area, the economic limit daily production per well (L) of the exploration area was obtained. 日产_Ri The daily economic limit for a single well is 50 barrels, and the cumulative production is (L). 累产_Ri The figure is 200,000 barrels. The initial production and cumulative production of single wells within Block X are statistically analyzed by target layer. The calculation is performed to determine whether the initial production of a single well exceeds the economic limit daily production (L) for different target layers. 日产_Ri The first number of production wells RI Ri And the cumulative production of a single well is greater than the economic limit cumulative production of a single well (L) 累产_Ri The second number of production wells (NC) Ri And calculate the oil and gas weight coefficient for each target layer (Table 1);

[0131] Table 1. Statistics on initial and cumulative production of single wells in different target layers in the exploration area.

[0132]

[0133] 6) Based on the trap type, complete the trap identification and description of the four target layers: LUT, LUF, UT, and LT, and draw the trap distribution map (see...). Figure 9 );

[0134] 7) Calculate the oil and gas resources of the four target formations: LUT, LUF, UT, and LT;

[0135] 8) Based on the oil and gas weight coefficients of each target layer calculated in step 5), calculate the total resource volume of each trap of the four target layers, namely LUT, LUF, UT and LT.

[0136] 9) Based on the calculated total resources, traps were queued, and trap number 3 was selected (see Table 2). Referring to the top depth domain construction map obtained in step 3) and the reservoir thickness planar distribution map obtained in step 4), one production well was selected for deployment. After drilling, this production well achieved a high production of 700 barrels / day in LUT testing, proving the effectiveness of the above scheme.

[0137] Table 2 Calculation results of resource quantities of different target stratigraphic traps in the exploration area

[0138]

[0139]

[0140] Figure 10 This is a structural block diagram of a trap screening device provided in an embodiment of the present invention. This device is used to execute the trap screening method provided in any of the above embodiments. This device and the trap screening methods of the above embodiments belong to the same inventive concept. Details not described in detail in the embodiments of the trap screening device can be found in the embodiments of the trap screening methods described above. See also... Figure 10 The device may specifically include: an oil and gas resource determination module 410, an association layer acquisition module 420, a total resource acquisition module 430, and a trap screening module 440.

[0141] Among them, the oil and gas resource determination module 410 is used to determine the oil and gas weight coefficient of each target layer in at least one target layer in the exploration area to be screened, based on the initial oil and gas production data and cumulative oil and gas production data of the target layer, and to determine the oil and gas resource quantity of each identified trap in the target layer respectively.

[0142] The association layer module 420 is used to, for each of the identified traps in the exploration area, use at least one target layer associated with the trap as the association layer.

[0143] The total resource quantity acquisition module 430 is used to obtain the total resource quantity of the trap based on the oil and gas weight coefficients corresponding to at least one associated layer and the oil and gas resource quantities corresponding to the trap at at least one associated layer.

[0144] The trap selection module 440 is used to select target traps in the exploration area from all traps based on the total resource quantity corresponding to each trap in the total traps.

[0145] Optionally, the oil and gas resource determination module 410 may include:

[0146] The oil and gas cumulative production data acquisition unit is used to acquire the initial oil and gas production data and cumulative oil and gas production data of the target layer.

[0147] The total cumulative production determination unit is used to determine the drilling economic achievement rate of the target layer based on the initial oil and gas production data and the cumulative oil and gas production data, and to determine the total cumulative production of the target layer based on the cumulative oil and gas production data.

[0148] The maximum cumulative output determination unit is used to determine the maximum cumulative output with the largest value among the total cumulative outputs corresponding to at least one target layer.

[0149] The oil and gas weight coefficient determination unit is used to determine the oil and gas weight coefficient of the target layer based on the drilling economic achievement rate, total cumulative production and maximum cumulative production.

[0150] Based on this, optionally, the initial oil and gas production data may include the initial production of each production well in the target layer, and the cumulative oil and gas production data may include the cumulative production of each production well. The total cumulative production determination unit includes:

[0151] The single-well economic limit cumulative production determination sub-unit is used to determine the number of production wells in the target layer, as well as the single-well economic limit daily production and single-well economic limit cumulative production in the exploration area.

[0152] The first quantity determination subunit is used to determine the first number of production wells in the target layer whose initial production of a single well is greater than the economic limit daily production of a single well, based on the initial production of each production well.

[0153] The second quantity determination subunit is used to determine the second quantity of production wells in the target layer whose cumulative production per well is greater than the economic limit cumulative production per well, based on the cumulative production per well of each production well.

[0154] The second ratio determination subunit is used to determine the first ratio based on the first quantity and the number of wells, and to determine the second ratio based on the second quantity and the number of wells;

[0155] The drilling economic compliance rate determination sub-unit is used to determine the drilling economic compliance rate of the target formation based on the first ratio and the second ratio.

[0156] Optionally, the above-mentioned closed screening device further includes:

[0157] The reservoir thickness planar distribution map determination module is used to determine the reservoir type of the target layer, as well as the top depth domain structural map and / or reservoir thickness planar distribution map of the target layer;

[0158] The structural trap identification module is used to identify structural traps on the target layer based on the top depth domain structural map when the trap corresponding to the reservoir type is a structural trap.

[0159] The lithological trap identification module is used to identify lithological traps on the target layer based on the reservoir thickness planar distribution map when the traps corresponding to the reservoir type are lithological traps.

[0160] The structural-lithological trap identification module is used to identify structural-lithological traps on the target layer based on the reservoir thickness plane distribution map when the trap corresponding to the reservoir type is a structural-lithological trap.

[0161] Based on this, optionally, the aforementioned closed screening device further includes:

[0162] The top surface time domain structural map compilation module is used to perform well-seismic horizon calibration for the target layer and to perform seismic tracking interpretation based on the obtained well-seismic horizon calibration results in order to compile the top surface time domain structural map of the target layer.

[0163] The top surface depth domain structure map compilation module is used to establish the time-depth relationship of the exploration area and compile the top surface depth domain structure map based on the time-depth relationship of the exploration area and the top surface time domain structure map.

[0164] The reservoir thickness planar distribution map module is used to perform reservoir seismic inversion prediction for the target layer and obtain the reservoir thickness planar distribution map.

[0165] Another optional oil and gas resource determination module 410 includes:

[0166] The trap distribution map drawing unit is used to draw a trap distribution map based on each identified trap on the target layer;

[0167] The reservoir thickness unit is used to obtain the trap area, trap closure degree and reservoir thickness based on the trap distribution map, the top surface depth domain structure map and the reservoir thickness planar distribution map.

[0168] The oil saturation distribution range statistical unit is used to statistically analyze the porosity and oil saturation distribution range of the target layer based on the well logging interpretation results of drilled wells in the exploration area.

[0169] The volume factor is obtained from the unit used to derive the volume factor based on crude oil experimental analysis data from the exploration area or adjacent areas of the exploration area.

[0170] The oil and gas resource determination unit is used to determine the oil and gas resource quantity of each trap based on at least one of the trap area, trap closure degree, reservoir thickness, porosity, oil saturation distribution range and volume coefficient.

[0171] Optionally, based on any of the above-described devices, the device may further include:

[0172] The well location determination module is used to determine the well location in the area where the reservoir is developed within the target trap after screening out the target traps from all traps, based on the corresponding oil and gas enrichment control factors.

[0173] The trap screening device provided in this embodiment of the invention, through an oil and gas resource determination module, determines the oil and gas weight coefficient of each target layer in at least one target layer in the exploration area to be screened, based on the initial oil and gas production data and cumulative oil and gas production data of the target layer, and determines the oil and gas resource quantity of each trap identified in the target layer; through an association layer obtaining module, for each trap in all the traps identified in the exploration area, the target layer associated with the trap in at least one target layer is taken as an association layer; through a total resource quantity obtaining module, the total resource quantity of the trap is obtained based on the oil and gas weight coefficients corresponding to the at least one association layer and the oil and gas resource quantity of the trap corresponding to the at least one association layer; through a trap screening module, the target traps in the exploration area are screened from all the traps based on the total resource quantity corresponding to each trap in the all traps. The aforementioned device uses an oil and gas weighting coefficient to reflect the differences in initial and large-scale oil and gas production of different target layers. By using the oil and gas weighting coefficient to determine the total resource volume, it can effectively increase the proportion of oil and gas resources in the total resource volume of target layers with high initial and high cumulative production. Based on this, traps are screened, which can effectively improve the rationality and scientific nature of trap screening, thereby increasing the probability of drilling to obtain high cumulative and high initial production.

[0174] The trap screening device provided in the embodiments of the present invention can execute the trap screening method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method execution.

[0175] It is worth noting that in the embodiments of the above-mentioned closed screening device, the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy differentiation and are not used to limit the scope of protection of the present invention.

[0176] Figure 11 A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0177] like Figure 11 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded into the RAM 13 from storage unit 18. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0178] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0179] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the trapping screening method.

[0180] In some embodiments, the trap screening method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the trap screening method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the trap screening method by any other suitable means (e.g., by means of firmware).

[0181] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0182] Computer programs used to implement the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The computer programs can be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0183] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0184] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0185] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0186] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0187] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0188] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for screening traps, characterized in that, include: For each target layer in at least one target layer in the exploration area to be screened, the oil and gas weight coefficient of the target layer is determined based on the initial oil and gas production data and cumulative oil and gas production data of the target layer, and the oil and gas resource quantity of each identified trap in the target layer is determined respectively. For each of the identified traps in the exploration area, the target layer associated with the trap in the at least one target layer is taken as the associated layer, and the total resource of the trap is obtained according to the oil and gas weight coefficients corresponding to the at least one associated layer and the oil and gas resources corresponding to the trap on the at least one associated layer. Based on the total resource quantity corresponding to each of the total traps, target traps in the exploration area are selected from the total number of traps; wherein... The step of determining the oil and gas weighting coefficient of the target layer based on the initial oil and gas production data and the cumulative oil and gas production data of the target layer includes: Obtain the initial oil and gas production data and cumulative oil and gas production data of the target layer; Based on the initial oil and gas production data and the cumulative oil and gas production data, determine the drilling economic achievement rate of the target layer, and based on the cumulative oil and gas production data, determine the total cumulative production of the target layer; Determine the maximum cumulative output value among the total cumulative output values ​​corresponding to each of the at least one target layer; The oil and gas weighting coefficient of the target layer is determined based on the drilling economic achievement rate, the total cumulative production, and the maximum cumulative production. The initial oil and gas production data includes the initial production of each production well in the target formation, and the cumulative oil and gas production data includes the cumulative production of each production well. Determining the drilling economic achievement rate of the target formation based on the initial oil and gas production data and the cumulative oil and gas production data includes: Determine the number of production wells in the target layer, and the economic limit daily production and economic limit cumulative production of a single well in the exploration area; Based on the initial production output of each production well, determine the first number of production wells in the target layer whose initial production output is greater than the economic limit daily production of the single well. Based on the cumulative production of each production well, determine a second number of production wells in the target layer whose cumulative production of a single well is greater than the economic limit cumulative production of a single well. A first ratio is determined based on the first quantity and the number of wells, and a second ratio is determined based on the second quantity and the number of wells; The drilling economic compliance rate of the target formation is determined based on the first ratio and the second ratio.

2. The method according to claim 1, characterized in that, Also includes: Determine the reservoir type of the target layer, and the top depth domain structure map and / or reservoir thickness planar distribution map of the target layer; When the trap corresponding to the reservoir type is a structural trap, the structural trap on the target layer is identified according to the top surface depth domain structural map. If the trap corresponding to the reservoir type is a lithological trap, the lithological trap on the target layer is identified according to the reservoir thickness plan distribution map. When the trap corresponding to the reservoir type is a structural-lithological trap, the structural-lithological trap on the target layer is identified based on the reservoir thickness plane distribution map and the reservoir thickness plane distribution map.

3. The method according to claim 2, characterized in that, Also includes: Well-seismic stratigraphic calibration is performed on the target layer, and seismic tracking interpretation is performed based on the obtained well-seismic stratigraphic calibration results to compile a time-domain structural map of the top surface of the target layer. A time-depth relationship is established for the exploration area, and a depth-domain structure map of the top surface is compiled based on the time-depth relationship and the time-domain structure map of the top surface. Seismic inversion prediction of the reservoir is performed on the target layer to obtain a planar distribution map of the reservoir thickness.

4. The method according to claim 2, characterized in that, The determination of the oil and gas resources of each identified trap on the target layer includes: Based on each identified trap on the target layer, draw a trap distribution map; Based on the trap distribution map, the top surface depth domain structure map, and the reservoir thickness planar distribution map, the trap area, trap closure degree, and reservoir thickness are obtained. Based on the logging interpretation results of the drilled wells in the exploration area, the porosity and oil saturation distribution range of the target layer are statistically analyzed. The volume factor is obtained based on the crude oil experimental analysis data of the exploration area or the adjacent area of ​​the exploration area; The amount of oil and gas resources in each trap is determined based on at least one of the trap area, trap closure degree, reservoir thickness, porosity, oil saturation distribution range, and volume coefficient.

5. The method according to any one of claims 1-4, characterized in that, After selecting the target traps of the exploration area from all the traps, the process further includes: For the reservoir development area within the target trap, the drilling location in the area is determined based on the oil and gas enrichment control factors corresponding to the area.

6. A closed-loop screening device, characterized in that, include: The oil and gas resource determination module is used to determine the oil and gas weight coefficient of each target layer in at least one target layer in the exploration area to be screened, based on the initial oil and gas production data and cumulative oil and gas production data of the target layer, and to determine the oil and gas resource quantity of each identified trap in the target layer respectively. The oil and gas weight coefficient of different target layers is used to reflect the differences in initial production and cumulative production of different target layers. The association layer module is used to, for each of the identified traps in the exploration area, take the target layer associated with the trap in the at least one target layer as the association layer. The total resource quantity acquisition module is used to obtain the total resource quantity of the trap based on the oil and gas weight coefficients corresponding to at least one associated layer and the oil and gas resource quantities corresponding to the trap on the at least one associated layer. The trap screening module is used to screen out the target traps of the exploration area from all the traps based on the total resource quantity corresponding to each trap in the total traps. The oil and gas resource determination module includes: The oil and gas cumulative production data acquisition unit is used to acquire the initial oil and gas production data and the cumulative oil and gas production data of the target layer. The total cumulative production determination unit is used to determine the drilling economic achievement rate of the target layer based on the initial oil and gas production data and the cumulative oil and gas production data, and to determine the total cumulative production of the target layer based on the cumulative oil and gas production data. The maximum cumulative output determination unit is used to determine the maximum cumulative output with the largest value among the total cumulative outputs corresponding to the at least one target layer. The oil and gas weight coefficient determination unit is used to determine the oil and gas weight coefficient of the target layer based on the drilling economic achievement rate, the total cumulative production and the maximum cumulative production. The initial oil and gas production data includes the initial production of each production well in the target formation, the cumulative oil and gas production data includes the cumulative production of each production well, and the total cumulative production determination unit includes: The single-well economic limit cumulative production determination subunit is used to determine the number of production wells on the target layer, as well as the single-well economic limit daily production and single-well economic limit cumulative production of the exploration area. The first quantity determination subunit is used to determine the first number of production wells on the target layer whose initial production of a single well is greater than the economic limit daily production of a single well, based on the initial production of each production well. The second quantity determination subunit is used to determine the second number of production wells on the target layer whose cumulative production per well is greater than the cumulative production per well economic limit, based on the cumulative production per well of each production well. The second ratio determination subunit is used to determine a first ratio based on the first quantity and the number of wells, and to determine a second ratio based on the second quantity and the number of wells; The drilling economic compliance rate determination subunit is used to determine the drilling economic compliance rate of the target formation based on the first ratio and the second ratio.

7. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor to cause the at least one processor to perform the trap screening method as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute and implement the trapping screening method as described in any one of claims 1-5.

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