A method, device, equipment and medium for determining exploration and development potential of a gas reservoir

Abstract

The embodiment of the application discloses a kind of gas reservoir exploration and development potential determination method, device, equipment and medium, it is related to oil and gas exploration and development technical field.The method comprises: based on the sorting judgment data of each to be sorted gas reservoir, determine the group utility value and individual regret value corresponding to each to be sorted gas reservoir;According to the exploration and development stage information of to be sorted gas reservoir, determine the compromise coefficient corresponding to to be sorted gas reservoir;Based on the compromise coefficient, group utility value and individual regret value, determine the compromise value of to be sorted gas reservoir, and based on the compromise value of each to be sorted gas reservoir, to be sorted gas reservoir is sorted according to exploration and development potential, and the judgment result of the exploration and development potential of gas reservoir is obtained.The technical scheme can obtain the size of the relative exploration and development potential between gas reservoir based on the sorting result of the compromise value of each gas reservoir, provides support for the exploration and development of gas reservoir.

Description

Technical Field

[0001] This invention relates to the field of oil and gas exploration and development technology, and in particular to a method, apparatus, equipment and medium for determining the exploration and development potential of a gas reservoir. Background Technology

[0002] Clearly defining the exploration and development potential of a gas reservoir can provide support for exploration and development. Current gas reservoir evaluation methods typically rely on subjective experience to assess target blocks or projects; however, this approach is heavily influenced by subjective experience, resulting in relatively poor accuracy of the evaluation results. Summary of the Invention

[0003] This invention provides a method, apparatus, equipment, and medium for determining the exploration and development potential of gas reservoirs, which can accurately identify the relative size of the exploration and development potential between gas reservoirs and provide support for oil and gas exploration and development work.

[0004] According to one aspect of the present invention, a method for determining the exploration and development potential of a gas reservoir is provided, the method comprising:

[0005] The ranking judgment data of each gas reservoir to be ranked is obtained, and based on the ranking judgment data of each gas reservoir to be ranked, the group utility value and individual regret value corresponding to each gas reservoir to be ranked are determined; the ranking judgment data reflects the exploration and development potential of the gas reservoir.

[0006] Based on the exploration and development stage information of the gas reservoirs to be ranked, determine the corresponding trade-off coefficients for the gas reservoirs to be ranked;

[0007] The compromise values ​​of the gas reservoirs to be ranked are determined based on the compromise coefficient, the group utility value, and the individual regret value. The exploration and development potential of the gas reservoirs to be ranked is then ranked based on the compromise value of each gas reservoir to be ranked, and the results of the judgment on the exploration and development potential of the gas reservoirs are obtained.

[0008] According to another aspect of the present invention, an apparatus for determining the exploration and development potential of a gas reservoir is provided, comprising:

[0009] The ranking judgment data acquisition module is used to acquire the ranking judgment data of each gas reservoir to be ranked, and based on the ranking judgment data of each gas reservoir to be ranked, determine the group utility value and individual regret value corresponding to each gas reservoir to be ranked; the ranking judgment data reflects the exploration and development potential of the gas reservoir.

[0010] The compromise coefficient determination module is used to determine the compromise coefficient corresponding to the gas reservoirs to be ranked based on the exploration and development stage information of the gas reservoirs to be ranked.

[0011] The judgment result determination module is used to determine the compromise value of the gas reservoirs to be ranked based on the compromise coefficient, the group utility value and the individual regret value, and to rank the gas reservoirs to be ranked based on the compromise value of each gas reservoir to be ranked, so as to obtain the judgment result of the gas reservoir's exploration and development potential.

[0012] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0013] At least one processor; and

[0014] A memory communicatively connected to the at least one processor; wherein,

[0015] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the method for determining the exploration and development potential of a gas reservoir as described in any embodiment of the present invention.

[0016] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the method for determining the exploration and development potential of a gas reservoir as described in any embodiment of the present invention.

[0017] The technical solution of this application includes: acquiring ranking judgment data for each gas reservoir to be ranked, and determining the group utility value and individual regret value corresponding to each gas reservoir based on the ranking judgment data; the ranking judgment data reflects the exploration and development potential of the gas reservoir; determining the compromise coefficient corresponding to the gas reservoir to be ranked according to the exploration and development stage information of the gas reservoir to be ranked; determining the compromise value of the gas reservoir to be ranked based on the compromise coefficient, group utility value, and individual regret value; and ranking the gas reservoir to be ranked based on the compromise value of each gas reservoir to be ranked, thereby obtaining the judgment result of the exploration and development potential of the gas reservoir. This technical solution calculates the compromise value of the gas reservoir by using a compromise coefficient that matches the exploration and development stage of the gas reservoir, as well as the group utility value and individual regret value of the gas reservoir. Based on the ranking result of the compromise values ​​of each gas reservoir, the relative exploration and development potential among the gas reservoirs can be obtained, and relatively suitable gas reservoirs for development are selected from among the gas reservoirs, providing support for the exploration and development operations of the gas reservoirs.

[0018] It should be understood that the description in this section is not intended to identify key or essential 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

[0019] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the 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.

[0020] Figure 1 This is a flowchart of a method for determining the exploration and development potential of a gas reservoir according to Embodiment 1 of this application;

[0021] Figure 2 This is a flowchart of a method for determining the exploration and development potential of a gas reservoir according to Embodiment 2 of this application;

[0022] Figure 3 This is a schematic diagram illustrating the reliability and availability of a gas reservoir project according to Embodiment 2 of this application;

[0023] Figure 4 This is a schematic diagram of a device for determining the exploration and development potential of a gas reservoir according to Embodiment 3 of this application;

[0024] Figure 5 This is a schematic diagram of the structure of an electronic device for implementing a method for determining the exploration and development potential of a gas reservoir according to an embodiment of this application. Detailed Implementation

[0025] To enable those skilled in the art to better understand the present invention, 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 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.

[0026] It should be noted that the terms "first," "second," "target," etc., used 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 the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. 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.

[0027] Example 1

[0028] Figure 1 This application provides a flowchart of a method for determining the exploration and development potential of a gas reservoir, as shown in Embodiment 1. This embodiment is applicable to situations where the exploration and development potential of gas reservoirs is ranked. This method can be executed by a device for determining the exploration and development potential of a gas reservoir. This device can be implemented in hardware and / or software and can be configured in an electronic device with data processing capabilities. Figure 1 As shown, the method includes:

[0029] S110, obtain the ranking judgment data of each gas reservoir to be ranked, and based on the ranking judgment data of each gas reservoir to be ranked, determine the group utility value and individual regret value corresponding to each gas reservoir to be ranked.

[0030] In this context, "gas reservoirs to be ranked" refers to gas reservoirs whose exploration and development potential needs to be ranked. These reservoirs may be those with preliminary geological data that require ranking. The ranking judgment data reflects the exploration and development potential of the gas reservoirs and can include three categories: data reflecting reliability, data reflecting exploitability, and data reflecting economic viability. For example, data reflecting reliability includes, but is not limited to, resource base and degree of control; data reflecting exploitability includes, but is not limited to, lithology, effective thickness, porosity, permeability, recovery rate, and central burial depth; data reflecting economic viability is related to scale and investment benefits, including, but is not limited to, planned proven recoverable reserves and discovery costs. The group utility value and individual regret value are two core indicators of the VIKOR method (also known as the multi-criteria compromise ranking method). The group utility value reflects the overall deviation of the gas reservoir from all ranking judgment data; the individual regret value reflects the maximum deviation of the gas reservoir from a single ranking judgment data point.

[0031] Specifically, the process involves obtaining information on gas reservoirs to be sorted that have been marked by staff, acquiring multiple sorting judgment data for each gas reservoir, and processing the sorting judgment data for each gas reservoir using the VIKOR method. During the processing, the group utility value and individual regret value corresponding to each gas reservoir are extracted.

[0032] S120, based on the exploration and development stage information of the gas reservoirs to be ranked, determine the compromise coefficients corresponding to the gas reservoirs to be ranked.

[0033] The compromise factor is the coefficient used to calculate the compromise value using the VIKOR method. In this embodiment, the compromise factor varies depending on the actual exploration and development stage of the gas reservoir to be sorted. This compromise factor reflects the proportion of the group utility value and the individual regret value when calculating the compromise value.

[0034] Specifically, the gas reservoirs to be prioritized may be in the exploration stage or the development stage. For reservoirs at different stages, this application embodiment sets different compromise coefficients to adjust the weights of the group utility value and the individual regret value, thereby dynamically adjusting the emphasis of the gas reservoir at different stages to better reflect the actual gas reservoir exploration and development situation. For example, exploration and development stage information may include: early exploration, late exploration, early development, and late development. This application embodiment does not limit the specific method of dividing exploration and development stages; different compromise coefficients corresponding to different exploration and development stages can be preset. For example, the compromise coefficients can be set from high to low from the early exploration stage to the late development stage to increase the proportion of resource potential during the exploration period and reduce development risks during the development stage.

[0035] Specifically, the exploration and development stage information of the gas reservoirs to be ranked is obtained, and the corresponding compromise coefficient for the gas reservoirs to be ranked is determined according to the pre-set correspondence between the exploration and development stages and the compromise coefficient.

[0036] S130, based on the compromise coefficient, group utility value and individual regret value, determine the compromise value of the gas reservoirs to be ranked, and rank the gas reservoirs to be ranked according to their exploration and development potential based on the compromise value of each gas reservoir to be ranked, so as to obtain the judgment result of the exploration and development potential of the gas reservoirs.

[0037] Specifically, after obtaining the compromise coefficient, the compromise value of the gas reservoir to be ranked is determined based on the compromise coefficient, the group utility value, and the individual regret value. The formula for calculating the compromise value can be found in the following formula:

[0038]

[0039] Among them, Q i Let S be the compromise value for the i-th gas reservoir to be sorted, ε be the compromise coefficient, and S be the average value. + =max(S) i )S - =min(S) i ), S i Let R be the group utility value of the i-th gas reservoir to be sorted. + =max(R) i )R - =min(R) i ), R i Let be the individual regret value of the i-th gas reservoir to be sorted.

[0040] Specifically, after obtaining the compromise value, the compromise values ​​of each gas reservoir to be ranked are sorted, and the exploration and development potential of the gas reservoir is determined based on the ranking result. For example, if a gas reservoir has the smallest compromise value, it can be determined that the gas reservoir has the highest exploration and development potential, and exploration and development of the gas reservoir can be carried out; if a gas reservoir has a large compromise value, it can be determined that the gas reservoir has a low exploration and development potential, and further exploration can be carried out before making a judgment or the gas reservoir can not be explored and developed.

[0041] The technical solution of this application includes: acquiring ranking judgment data for each gas reservoir to be ranked, and determining the group utility value and individual regret value corresponding to each gas reservoir based on the ranking judgment data; the ranking judgment data reflects the exploration and development potential of the gas reservoir; determining the compromise coefficient corresponding to the gas reservoir to be ranked according to the exploration and development stage information of the gas reservoir to be ranked; determining the compromise value of the gas reservoir to be ranked based on the compromise coefficient, group utility value, and individual regret value; and ranking the gas reservoir to be ranked based on the compromise value of each gas reservoir to be ranked, thereby obtaining the judgment result of the exploration and development potential of the gas reservoir. This technical solution calculates the compromise value of the gas reservoir by using a compromise coefficient that matches the exploration and development stage of the gas reservoir, as well as the group utility value and individual regret value of the gas reservoir. Based on the ranking result of the compromise values ​​of each gas reservoir, the relative exploration and development potential among the gas reservoirs can be obtained, and relatively suitable gas reservoirs for development are selected from among the gas reservoirs, providing support for the exploration and development operations of the gas reservoirs.

[0042] Example 2

[0043] Figure 2 This is a flowchart of a method for determining the exploration and development potential of a gas reservoir, provided in Embodiment 2 of this application. This embodiment is an optimization based on the above embodiment.

[0044] like Figure 2 As shown, the method in this embodiment of the application specifically includes the following steps:

[0045] S210, Obtain the sorting judgment data for each gas reservoir to be sorted.

[0046] In this embodiment of the application, optionally, before determining the gas reservoirs to be sorted, the method further includes: classifying the gas reservoirs into exploration projects, cultivation projects, and preparation projects based on the availability and exploitability of the gas reservoirs.

[0047] Correspondingly, the process of determining gas reservoirs to be sorted includes: identifying gas reservoirs in exploration projects as gas reservoirs to be sorted; or identifying gas reservoirs in cultivation projects as gas reservoirs to be sorted; or identifying gas reservoirs in preparation projects as gas reservoirs to be sorted.

[0048] For example, in this application embodiment, gas reservoirs can be pre-classified into three categories based on the reliability and exploitability of the project: exploration projects, cultivation projects, and preparation projects. The process of determining the reliability of a gas reservoir project can be as follows: The reliability of the gas reservoir project can be determined based on the level of geological understanding of the project (e.g., the area controlled by a single well). For example, the effective exploration / development range of a single well (unit: square kilometers / well) can be determined as the area controlled by a single well, using the formula: Area controlled by a single well = Total area of ​​the block / Number of wells drilled. A specific example of determining reliability is: if the area controlled by a single well is small (e.g., 1 km²),... 2 If the well area is large (e.g., 10 km²), it indicates dense drilling, suggesting detailed data and high reliability for the gas reservoir project. 2 In this case, the drilling of the gas reservoir project is sparse and the data is coarse, indicating that the reliability of the gas reservoir project is low.

[0049] The process of determining the exploitability of a gas reservoir project can be as follows: compare the key parameters of the gas reservoir project with the key parameters of successfully explored and developed projects (the key parameters may be porosity, permeability, and burial depth, etc.). If the key parameters of the gas reservoir project are within a preset range of difference from the key parameters of successfully explored and developed projects, then the exploitability of the gas reservoir project is strong; otherwise, the exploitability of the gas reservoir project is poor.

[0050] Furthermore, projects with high reliability and good exploitability are classified as exploration projects, those with low reliability and poor exploitability are classified as preparation projects, and the remaining projects are classified as development projects. For example, if the reliability or exploitability of a gas reservoir project is uncertain, it is classified as a development project (among which, projects with low reliability and good exploitability need further resource implementation, while those with high reliability and poor exploitability need continuous efforts to develop). For exploration projects, development projects, and preparation projects, the gas reservoirs within the projects can be identified as gas reservoirs to be ranked. Finally, the ranking results of the exploration and development potential of the gas reservoirs within each project are obtained. Based on the ranking results of the exploration and development potential of the gas reservoirs in exploration projects, development projects, and preparation projects, they are processed separately. In a specific example, the following processing can be done: the top 50% of gas reservoirs in the exploration projects are directly included in the development plan, and the gas reservoir ranked first in the development projects is upgraded to a gas reservoir in the exploration projects, etc.

[0051] For example, the reliability and mobilization of each gas reservoir can be used as two separate coordinate axes, such as... Figure 3 The schematic diagram of the reliability and availability of the gas reservoir project shows the reliability and availability of the gas reservoir project in a visual way.

[0052] S220, an initial matrix is ​​constructed based on the sorting judgment data of each gas reservoir to be sorted, and the sorting judgment data in the initial matrix is ​​normalized.

[0053] For example, the sorting criteria data can include resource base, degree of control, lithology, effective thickness, porosity, permeability, recovery rate, and central burial depth.

[0054] Specifically, the number of data points for sorting is n, and the number of gas reservoirs to be sorted is m. The initial matrix constructed based on the sorting data points for each gas reservoir to be sorted is shown below:

[0055]

[0056] Among them, X ij This is the j-th sorting judgment data for the i-th gas reservoir to be sorted.

[0057] Furthermore, the ranking data can be divided into positive and negative impact data. A larger positive impact data indicates greater exploration and development potential, such as higher reserve upgradability; conversely, a larger negative impact data indicates the opposite. Since the ranking data have different dimensions and units, they are not comparable. Therefore, to eliminate the incompatibility between the ranking data, normalization processing is required to form a standardized multi-factor decision matrix R = (rij)mn. The normalization calculation formulas for each factor are as follows:

[0058] Standardized formula for positive influencing factors

[0059]

[0060] Standardized formula for negative influencing factors

[0061]

[0062] Among them, positive influencing factors are the positive influencing data in the ranking judgment data, and negative influencing factors are the negative influencing data in the ranking judgment data, r ij For the sorting judgment data after normalization, X ijmax X is the maximum value among all sorting judgment data for the i-th gas reservoir to be sorted. ijmin It is the minimum value among all sorting judgment data of the i-th gas reservoir to be sorted.

[0063] The normalized initial matrix is ​​shown below:

[0064]

[0065] S230, The initial matrix is ​​processed based on the entropy method to obtain the first weight of each sorting judgment data.

[0066] Specifically, in a concrete example, the first weight can be obtained by processing the initial matrix based on the entropy weight method. The specific process can be as follows: Based on the entropy weight method calculation model, after determining the initial matrix, the attribute value proportion of the j-th ranking judgment data of the i-th gas reservoir to be ranked is calculated according to the following formula:

[0067]

[0068] Among them, P ij For the i-th gas reservoir to be sorted, determine the weight of the attribute values ​​of the j-th sorting data, x ij This is the j-th sorting judgment data for the i-th gas reservoir to be sorted.

[0069] Optionally, in calculating P ij When zero values ​​are calculated, Laplace smoothing is applied to avoid overflow in entropy calculation.

[0070] Furthermore, the entropy value is calculated according to the following formula:

[0071]

[0072] In the formula: k — constant,

[0073] The first weight is calculated using the following formula:

[0074]

[0075] Optionally, in this embodiment of the application, the initial matrix is ​​processed based on the entropy weight method to obtain the first weight of the ranking judgment data, including: calculating the attribute value proportion of the ranking judgment data based on the initial matrix; and determining the entropy value of the ranking judgment data based on the following formula:

[0076]

[0077] Among them, e j Let p be the entropy value of the j-th sorting judgment data, α be the adjustment coefficient, and p be the entropy value of the j-th sorting judgment data. ij The attribute values ​​of the j-th sorting data are weighted for the i-th gas reservoir to be sorted.

[0078] The first weight of the sorting judgment data is calculated based on the entropy value of the sorting judgment data.

[0079] Wherein, α is the adjustment coefficient, and its specific value can be 0.95. This application introduces the adjustment coefficient when calculating the entropy value, which can prevent the information content of the indicator from being oversaturated, that is, prevent the information content of the sorting judgment data from being oversaturated.

[0080] Optionally, in this embodiment of the application, the method further includes: calculating the average value and standard deviation of the same sorting judgment data for each gas reservoir to be sorted; if the sorting judgment data is within the target data interval, then retain the data; otherwise, remove the data; wherein, the lower limit of the target data interval is the difference between the average value and the target value; the upper limit of the target data interval is the sum of the average value and the target value; and the target value is 3 times the standard deviation.

[0081] This scheme is designed to remove data points that deviate from the mean ±3σ (standard deviation) using the Z-score method, thus eliminating outliers in the sorting data and retaining normal data, making subsequent calculation results more accurate.

[0082] In this embodiment of the application, optionally, after obtaining the first weight of each sorting judgment data under a gas reservoir to be sorted, the first weight is normalized so that the sum of the first weights is 1.

[0083] For example, Table 1 is a sample table illustrating some of the sorting data:

[0084] Table 1

[0085]

[0086]

[0087] Taking the porosity index in Table 1 as an example, the specific calculation steps for the first weight are as follows:

[0088] Step A1, data cleaning, porosity data of each block is detected. The porosity of block A5 is 15.2%, which exceeds the mean (8.7%) ±3σ range and is regarded as an outlier and removed.

[0089] Step A2, Normalization: For the remaining block data, calculate the standardized value r using the standardization formula for positive influencing factors. ij ∈[0.32,0.89].

[0090] Step A3, Attribute weight calculation: p ij =(r ij +0.01) / Σ(r ij +0.01), where 0.01 is the minimum value, which is used to avoid zero values ​​(Laplace smoothing is performed).

[0091] Step A4, Entropy calculation: E j = -0.95×Σ(p ij lnp ij =0.73.

[0092] Step A5, First weight determined: W j= (1-E j ) / Σ(1-E j =0.18.

[0093] S240, based on the analytic hierarchy process, processes the sorting judgment data in the initial matrix to obtain the second weight of each sorting judgment data.

[0094] For example, the process of using the Analytic Hierarchy Process (AHP) to process the sorting judgment data in the initial matrix specifically includes:

[0095] Construct a ranking matrix to determine the importance of data, and use the 1-9 scale method for expert scoring;

[0096] The effective weights, i.e. the second weights, are determined by a consistency test (CR < 0.1).

[0097] S250, the first weight and the second weight of the sorting judgment data are merged according to a preset ratio to obtain the third weight of the sorting judgment data.

[0098] For example, the second weight is combined with the first weight in a ratio of 0.4:0.6 to obtain the third weight.

[0099] In a specific example, if the first weight is 0.22, the second weight is 0.31, and the third weight W = 0.22 × 0.6 + 0.31 × 0.4 = 0.25.

[0100] This scheme is designed so that the third weight is obtained by combining the first and second weights output by the entropy weight method and the analytic hierarchy process. This takes into account both objective calculations and subjective scores from experts, thus greatly enhancing the reliability of the third weight.

[0101] S260, calculate the population utility value and individual regret value of the gas reservoir to be ranked based on the third weight of each ranking judgment data of the gas reservoir to be ranked and the normalized ranking judgment data of the gas reservoir to be ranked.

[0102] The group utility value is determined according to the following formula:

[0103]

[0104] Among them, S i Let W be the group utility value of the i-th gas reservoir to be sorted. j X is the third weight for the j-th sorted data. j + represents the positive ideal solution, X j - is a negative ideal solution.

[0105] Individual regret value is determined according to the following formula:

[0106]

[0107] Where Ri is the individual regret value of the i-th gas reservoir to be sorted.

[0108] S270, Based on the exploration and development stage information of the gas reservoirs to be ranked, determine the compromise coefficients corresponding to the gas reservoirs to be ranked.

[0109] In this embodiment of the application, optionally, the compromise coefficient corresponding to the gas reservoir to be sorted is determined based on the exploration and development stage information of the gas reservoir to be sorted, including: if the exploration and development stage of the gas reservoir to be sorted is the exploration period, then the compromise coefficient is determined as the first compromise coefficient; if the exploration and development stage of the gas reservoir to be sorted is the development period, then the compromise coefficient is determined as the second compromise coefficient; the first compromise coefficient is greater than the second compromise coefficient.

[0110] The first and second compromise coefficients can be determined according to the actual situation, and this application does not limit them.

[0111] For example, if the exploration and development stage of the gas reservoir to be ranked is the early exploration stage, the compromise factor is determined to be 0.6; if the exploration and development stage of the gas reservoir to be ranked is the development stage, the compromise factor is determined to be 0.4. This scheme is set up in such a way that the calculated compromise value focuses on maximizing resource potential during the exploration stage and on reducing development risks during the development stage, so that the calculation of the compromise value is more in line with the actual exploration and development status of the gas reservoir.

[0112] For example, in the later stages of gas field development, the compromise factor ε is adjusted from 0.5 to 0.4 to make block ranking more favorable to low-risk projects. In a specific example, the Qi value of block B2 (which is the gas reservoir) decreases from 0.45 to 0.38, improving its ranking by two places.

[0113] S280, based on the compromise coefficient, the group utility value and the individual regret value, determine the compromise value of the gas reservoirs to be ranked, and rank the gas reservoirs to be ranked according to their exploration and development potential based on the compromise value of each gas reservoir to be ranked, so as to obtain the judgment result of the exploration and development potential of the gas reservoirs.

[0114] Specifically, the formula for calculating the compromise value can be found in the following formula:

[0115]

[0116] Among them, Q i Let S+ be the compromise value for the i-th gas reservoir to be sorted, ε be the compromise coefficient, and S+ = max(S i S - = min(S) i ), S i Let R+ be the group utility value of the i-th gas reservoir to be sorted, and R+ = max(R). i R-=min(R)i ), R i Let be the individual regret value of the i-th gas reservoir to be sorted.

[0117] In this embodiment of the application, optionally, the exploration and development potential of the gas reservoirs to be ranked is sorted based on the compromise value of each gas reservoir to be ranked, and the result of the judgment of the exploration and development potential of the gas reservoirs is obtained. This includes: sorting the compromise values ​​of each gas reservoir to be ranked from smallest to largest to obtain the ranking result; the gas reservoir ranked higher in the ranking result has a greater exploration and development potential than the gas reservoir ranked lower.

[0118] Specifically, the compromise values ​​of each gas reservoir to be ranked are sorted from smallest to largest to obtain the ranking results. In the ranking results, the gas reservoirs ranked higher have greater exploration and development potential, while the gas reservoirs ranked lower have less exploration and development potential.

[0119] Optionally, the method further includes: based on the test oil production of the gas reservoir, using industrial oil flow standards appropriate to the region (e.g., gas reservoir depth of 500-1000m, single-well oil production of 0.5m³). 3 / d; gas reservoir depth is 1000-2000m, single well gas production is 1.0m³. 3 / d; the gas reservoir is buried at a depth of 2000-3000m, and the gas production per well is 3.0m³. 3 / d), determine the economic coefficient of the gas reservoir, and then comprehensively judge the exploration and development value of the gas reservoir by combining the project information of the gas reservoir (there are three projects: exploration project, cultivation project and preparation project), the ranking of the gas reservoir in its project and the economic coefficient of the gas reservoir.

[0120] The method for determining the exploration and development potential of a gas reservoir provided in the above embodiments avoids the influence of human factors on the results by selecting the values ​​of the parameters, thereby improving the reliability and accuracy of the results. The results are intuitive and clear, and the calculation method is simple and easy to operate.

[0121] Example 3

[0122] Figure 4 This is a schematic diagram of a device for determining the exploration and development potential of a gas reservoir according to Embodiment 3 of this application. This device can execute the method for determining the exploration and development potential of a gas reservoir provided in any embodiment of this invention, and possesses the corresponding functional modules and beneficial effects for executing the method. For example... Figure 4 As shown, the device includes:

[0123] The sorting judgment data acquisition module 310 is used to acquire sorting judgment data for each gas reservoir to be sorted, and based on the sorting judgment data for each gas reservoir to be sorted, determine the group utility value and individual regret value corresponding to each gas reservoir to be sorted; the sorting judgment data reflects the exploration and development potential of the gas reservoir.

[0124] The compromise coefficient determination module 320 is used to determine the compromise coefficient corresponding to the gas reservoir to be ranked based on the exploration and development stage information of the gas reservoir to be ranked.

[0125] The judgment result determination module 330 is used to determine the compromise value of the gas reservoirs to be ranked based on the compromise coefficient, the group utility value and the individual regret value, and to rank the gas reservoirs to be ranked based on the compromise value of each gas reservoir to be ranked, so as to obtain the judgment result of the gas reservoir's exploration and development potential.

[0126] The technical solution of this application embodiment includes: a sorting judgment data acquisition module 310, used to acquire sorting judgment data of each gas reservoir to be sorted, and determine the group utility value and individual regret value corresponding to each gas reservoir to be sorted based on the sorting judgment data of each gas reservoir to be sorted; the sorting judgment data reflects the exploration and development potential of the gas reservoir; a compromise coefficient determination module 320, used to determine the compromise coefficient corresponding to the gas reservoir to be sorted based on the exploration and development stage information of the gas reservoir to be sorted; and a judgment result determination module 330, used to determine the compromise value of the gas reservoir to be sorted based on the compromise coefficient, the group utility value and the individual regret value, and sort the gas reservoir to be sorted based on the compromise value of each gas reservoir to be sorted, so as to obtain the judgment result of the exploration and development potential of the gas reservoir. This technical solution calculates the compromise value of a gas reservoir by using a compromise coefficient that matches the exploration and development stage of the reservoir, as well as the group utility value and individual regret value of the reservoir. Based on the ranking of the compromise values ​​of each gas reservoir, the relative exploration and development potential among the gas reservoirs can be obtained. This allows for the selection of relatively suitable gas reservoirs for development, thus providing support for the exploration and development operations of the gas reservoirs.

[0127] Optionally, in this embodiment of the application, the compromise coefficient determination module 320 includes:

[0128] The first compromise coefficient calculation unit is used to determine the first compromise coefficient if the exploration and development stage of the gas reservoir to be sorted is the exploration period.

[0129] The second compromise coefficient calculation unit is used to determine the compromise coefficient as the second compromise coefficient if the exploration and development stage of the gas reservoir to be sorted is the development period; the first compromise coefficient is greater than the second compromise coefficient.

[0130] Optionally, in this embodiment of the application, the sorting judgment data acquisition module 310 includes:

[0131] The normalization processing unit is used to construct an initial matrix based on the sorting judgment data of each gas reservoir to be sorted, and to normalize the sorting judgment data in the initial matrix.

[0132] The first weight calculation unit is used to process the initial matrix based on the entropy method to obtain the first weight of each sorting judgment data.

[0133] The second weight calculation unit is used to process the sorting judgment data in the initial matrix based on the analytic hierarchy process to obtain the second weight of each sorting judgment data.

[0134] The third weight calculation unit is used to merge the first weight and the second weight of the sorting judgment data according to a preset ratio to obtain the third weight of the sorting judgment data.

[0135] The group utility value and individual regret value determination unit is used to calculate the group utility value and individual regret value of the gas reservoir to be ranked based on the third weight of each ranking judgment data of the gas reservoir to be ranked and the normalized ranking judgment data of the gas reservoir to be ranked.

[0136] Optionally, in this embodiment of the application, the first weight calculation unit includes:

[0137] The attribute value weight calculation subunit is used to calculate the attribute value weight of the sorting judgment data based on the initial matrix;

[0138] The entropy calculation subunit is used to determine the entropy of the data for sorting based on the following formula:

[0139]

[0140] Among them, e j Let p be the entropy value of the j-th sorting judgment data, α be the adjustment coefficient, and p be the entropy value of the j-th sorting judgment data. ij The attribute values ​​of the j-th sorting data are weighted for the i-th gas reservoir to be sorted.

[0141] The first weight calculation subunit is used to calculate the first weight of the sorting judgment data based on the entropy value of the sorting judgment data.

[0142] Optionally, in this embodiment of the application, the device further includes:

[0143] The mean and standard deviation calculation module is used to calculate the mean and standard deviation of the same ranking judgment data for each gas reservoir to be ranked;

[0144] The data cleaning module is used to retain data if the sorting criteria determine that the data falls within the target data range; otherwise, it removes the data.

[0145] Wherein, the lower limit of the target data interval is the difference between the average value and the target value; the upper limit of the target data interval is the sum of the average value and the target value; and the target value is 3 times the standard deviation.

[0146] Optionally, in this embodiment of the application, the device further includes:

[0147] Project division units are used to classify gas reservoirs into exploration projects, cultivation projects, and preparation projects based on their availability and exploitability.

[0148] Accordingly, the device further includes: a module for determining gas reservoirs to be sorted, specifically used for:

[0149] The gas reservoirs identified in the exploration projects will be designated as gas reservoirs to be prioritized; or...

[0150] The gas reservoirs in the cultivation project are identified as gas reservoirs to be sorted; or...

[0151] The gas reservoirs in the preparation project were identified as gas reservoirs to be sorted.

[0152] Optionally, in this embodiment of the application, the judgment result determination module 330 includes:

[0153] The sorting result determination unit is used to sort the compromise values ​​of each gas reservoir to be sorted from smallest to largest to obtain the sorting result; the gas reservoir ranked higher in the sorting result has a greater exploration and development potential than the gas reservoir ranked lower.

[0154] The apparatus for determining the exploration and development potential of a gas reservoir provided in this application embodiment can execute the method for determining the exploration and development potential of a gas reservoir provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method.

[0155] Example 4

[0156] Figure 5 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.

[0157] like Figure 5As 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 from storage unit 18 into the RAM 13. The RAM 13 may 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.

[0158] 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.

[0159] 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 methods for determining the exploration and development potential of a gas reservoir.

[0160] In some embodiments, the method for determining the exploration and development potential of a gas reservoir 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 method for determining the exploration and development potential of a gas reservoir described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the method for determining the exploration and development potential of a gas reservoir by any other suitable means (e.g., by means of firmware).

[0161] 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), complex 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.

[0162] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may 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 performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0163] 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.

[0164] 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).

[0165] 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.

[0166] 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.

[0167] 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.

[0168] 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 determining the exploration and development potential of a gas reservoir, characterized in that, include: The ranking judgment data of each gas reservoir to be ranked is obtained, and based on the ranking judgment data of each gas reservoir to be ranked, the group utility value and individual regret value corresponding to each gas reservoir to be ranked are determined; the ranking judgment data reflects the exploration and development potential of the gas reservoir. Based on the exploration and development stage information of the gas reservoirs to be ranked, determine the corresponding trade-off coefficients for the gas reservoirs to be ranked; The compromise values ​​of the gas reservoirs to be ranked are determined based on the compromise coefficient, the group utility value, and the individual regret value. The exploration and development potential of the gas reservoirs to be ranked is then ranked based on the compromise value of each gas reservoir to be ranked, and the results of the judgment on the exploration and development potential of the gas reservoirs are obtained.

2. The method according to claim 1, characterized in that, Based on the exploration and development stage information of the gas reservoirs to be ranked, determine the corresponding trade-off factors for the gas reservoirs to be ranked, including: If the exploration and development stage of the gas reservoir to be ranked is the exploration period, then the compromise factor is determined to be the first compromise factor; If the exploration and development stage of the gas reservoir to be ranked is the development stage, then the compromise factor is determined to be the second compromise factor; the first compromise factor is greater than the second compromise factor.

3. The method according to claim 1, characterized in that, Based on the ranking judgment data of each gas reservoir to be ranked, the population utility value and individual regret value corresponding to each gas reservoir to be ranked are determined, including: An initial matrix is ​​constructed based on the ranking judgment data of each gas reservoir to be ranked, and the ranking judgment data in the initial matrix is ​​normalized. The initial matrix is ​​processed using the entropy weight method to obtain the first weight of each sorting judgment data; The sorting judgment data in the initial matrix is ​​processed using the analytic hierarchy process (AHP) to obtain the second weight of each sorting judgment data. The first and second weights of the sorting data are combined according to a preset ratio to obtain the third weight of the sorting data. The population utility value and individual regret value of the gas reservoirs to be ranked are calculated based on the third weight of each ranking judgment data of the gas reservoirs to be ranked and the normalized ranking judgment data of the gas reservoirs to be ranked.

4. The method according to claim 3, characterized in that, The initial matrix is ​​processed using the entropy weight method to obtain the first weight of the data for ranking, including: Based on the initial matrix, calculate the weight of attribute values ​​in the sorting judgment data; The entropy of the data used for sorting is determined based on the following formula: Among them, e j Let p be the entropy value of the j-th sorting judgment data, α be the adjustment coefficient, and p be the entropy value of the j-th sorting judgment data. ij The attribute values ​​of the j-th sorting data are weighted for the i-th gas reservoir to be sorted. The first weight of the sorting judgment data is calculated based on the entropy value of the sorting judgment data.

5. The method according to claim 4, characterized in that, The method further includes: Calculate the mean and standard deviation of the same ranking judgment data for each gas reservoir to be ranked; If the data to be sorted falls within the target data range, then retain that data; otherwise, remove that data. Wherein, the lower limit of the target data interval is the difference between the average value and the target value; the upper limit of the target data interval is the sum of the average value and the target value; and the target value is 3 times the standard deviation.

6. The method according to claim 1, characterized in that, Before identifying the gas reservoirs to be sorted, the method further includes: Gas reservoirs are classified into exploration projects, cultivation projects, and preparation projects based on their availability and exploitability. Correspondingly, the process of determining gas reservoirs to be sorted includes: The gas reservoirs identified in the exploration projects will be designated as gas reservoirs to be prioritized; or... The gas reservoirs in the cultivation project are identified as gas reservoirs to be sorted; or... The gas reservoirs in the preparation project were identified as gas reservoirs to be sorted.

7. The method according to claim 1, characterized in that, Based on the compromise value of each gas reservoir to be ranked, the exploration and development potential of the gas reservoirs is ranked, and the judgment result of the exploration and development potential of the gas reservoirs is obtained, including: The compromise values ​​of each gas reservoir to be ranked are sorted from smallest to largest to obtain the ranking result; the gas reservoirs ranked higher in the ranking result have greater exploration and development potential than the gas reservoirs ranked lower.

8. A device for determining the exploration and development potential of a gas reservoir, characterized in that, include: The ranking judgment data acquisition module is used to acquire the ranking judgment data of each gas reservoir to be ranked, and based on the ranking judgment data of each gas reservoir to be ranked, determine the group utility value and individual regret value corresponding to each gas reservoir to be ranked; the ranking judgment data reflects the exploration and development potential of the gas reservoir. The compromise coefficient determination module is used to determine the compromise coefficient corresponding to the gas reservoirs to be ranked based on the exploration and development stage information of the gas reservoirs to be ranked. The judgment result determination module is used to determine the compromise value of the gas reservoirs to be ranked based on the compromise coefficient, the group utility value and the individual regret value, and to rank the gas reservoirs to be ranked based on the compromise value of each gas reservoir to be ranked, so as to obtain the judgment result of the gas reservoir's exploration and development potential.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, which enables the at least one processor to perform the method for determining the exploration and development potential of the gas reservoir according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the method for determining the exploration and development potential of a gas reservoir as described in any one of claims 1-7.

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