Oil and gas recovery ratio determination method and device, storage medium and program product

Abstract

The invention relates to an oil and gas recovery ratio determination method and device, a storage medium and a program product. The method for determining the oil and gas recovery ratio comprises the steps that oil and gas production data of a to-be-detected oil field are obtained and used for representing the oil and gas production state of the to-be-detected oil field; determining the oil and gas recovery ratio of the oil and gas production data to obtain first data and second data, the first data being non-quantitative data of the to-be-detected oil field, and the second data being quantifiable data of the to-be-detected oil field; third data, fourth data and a pre-stored oil and gas recovery ratio of a pre-stored oil field are obtained, the third data are non-quantitative data of the pre-stored oil field, and the fourth data are quantifiable data of the pre-stored oil field; under the condition that the first data and the third data are the same, determining similarity coefficients corresponding to the second data and the fourth data; and determining a target oil and gas recovery ratio of the to-be-detected oil field based on the similarity coefficient and a pre-stored oil and gas recovery ratio.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method, device, storage medium and program product for determining oil and gas recovery rate. Background Art

[0002] In the development of oil (gas) fields, the reasonable prediction of oil (gas) field recovery rate is a reliable basis for the evaluation of oil field exploration and development effects, oil (gas) field dynamic analysis, and the preparation of oil (gas) field development and adjustment plans. However, at this stage, the method for determining the oil (gas) field recovery rate has technical problems such as poor confirmation efficiency and poor accuracy. Summary of the invention

[0003] In view of this, the present invention provides a method, device, storage medium and program product for determining oil and gas recovery rate.

[0004] Specifically, the present invention is achieved through the following technical solutions:

[0005] According to a first aspect of the present invention, there is provided a method for determining an oil and gas recovery rate, comprising: acquiring oil and gas production data of an oil field to be detected, the oil and gas production data being used to represent the oil and gas production status of the oil field to be detected; performing data processing on the oil and gas production data to obtain first data and second data, the first data being non-quantitative data of the oil field to be detected, and the second data being quantifiable data of the oil field to be detected; acquiring third data, fourth data and a pre-stored oil and gas recovery rate of the oil field, the third data being non-quantitative data of the pre-stored oil field, and the fourth data being quantifiable data of the pre-stored oil field; when the first data and the third data are the same, determining a similarity coefficient corresponding to the second data and the fourth data; and determining a target oil and gas recovery rate of the oil field to be detected based on the similarity coefficient and the pre-stored oil and gas recovery rate.

[0006] The method for determining the oil and gas recovery rate in the technical solution processes the oil and gas production data of the oil field to be detected, determines the first data and the second data, and obtains the third data, the fourth data and the pre-stored oil and gas recovery rate of the pre-stored oil field. When the first data and the third data are the same, the similarity coefficient corresponding to the second data and the fourth data is determined, and then the similarity coefficient and the pre-stored oil and gas recovery rate are processed to obtain the target oil and gas recovery rate of the oil field to be detected, which simplifies the steps for determining the target oil and gas recovery rate, thereby improving the efficiency of determining the target oil and gas recovery rate and ensuring the data accuracy of the target oil and gas recovery rate.

[0007] According to a second aspect of the present invention, there is provided a device for determining oil and gas recovery rate, comprising: a processing module, for acquiring oil and gas production data of an oil field to be detected, the oil and gas production data being used to represent the oil and gas production status of the oil field to be detected; the processing module, further for determining the oil and gas recovery rate on the oil and gas production data to obtain first data and second data, the first data being non-quantitative data of the oil field to be detected, and the second data being quantifiable data of the oil field to be detected; the processing module, further for acquiring third data, fourth data and pre-stored oil and gas recovery rate of a pre-stored oil field, the third data being non-quantitative data of the pre-stored oil field, and the fourth data being quantifiable data of the pre-stored oil field; the processing module, further for determining, when the first data and the third data are the same, a similarity coefficient corresponding to the second data and the fourth data; the processing module, further for determining a target oil and gas recovery rate of the oil field to be detected based on the similarity coefficient and the pre-stored oil and gas recovery rate.

[0008] The device for determining the oil and gas recovery rate in the technical solution processes the oil and gas production data of the oil field to be detected, determines the first data and the second data, and obtains the third data, the fourth data and the pre-stored oil and gas recovery rate of the pre-stored oil field. When the first data and the third data are the same, the similarity coefficient corresponding to the second data and the fourth data is determined, and then the similarity coefficient and the pre-stored oil and gas recovery rate are processed to obtain the target oil and gas recovery rate of the oil field to be detected, which simplifies the steps for determining the target oil and gas recovery rate, thereby improving the efficiency of determining the target oil and gas recovery rate and ensuring the data accuracy of the target oil and gas recovery rate.

[0009] According to a third aspect of the present invention, there is provided a device for determining oil and gas recovery rate, comprising a processor and a memory, wherein a program or instruction is stored in the memory, and when the program or instruction is executed by the processor, the steps of the method for determining oil and gas recovery rate in any of the above technical solutions are implemented. Therefore, the device for determining oil and gas recovery rate has all the beneficial effects of the method for determining oil and gas recovery rate in any of the above technical solutions, which will not be described in detail here.

[0010] According to a fourth aspect of the present invention, there is provided a storage medium having a computer program stored thereon, wherein when the program is executed by a processor, the program implements the steps of the method for determining oil and gas recovery factor in any possible implementation of the first aspect.

[0011] According to a fifth aspect of the present invention, there is provided a program product, comprising a computer program, which, when executed by a processor, implements the steps of the method for determining oil and gas recovery factor in any possible implementation of the first aspect.

[0012] The technical solution provided by the present invention brings at least the following beneficial effects:

[0013] The steps for determining the target oil and gas recovery factor are simplified, thereby improving the efficiency of determining the target oil and gas recovery factor, while ensuring the data accuracy of the target oil and gas recovery factor. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or related technical descriptions are briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0016] Figure 1 One of the flow charts of a method for determining oil and gas recovery rate provided in an embodiment of the present invention;

[0017] Figure 2 A second flow chart of a method for determining oil and gas recovery rate provided in an embodiment of the present invention;

[0018] Figure 3 A third flow chart of a method for determining oil and gas recovery rate provided in an embodiment of the present invention;

[0019] Figure 4 A fourth flow chart of a method for determining oil and gas recovery rate provided in an embodiment of the present invention;

[0020] Figure 5 A fifth flow chart of a method for determining oil and gas recovery rate provided in an embodiment of the present invention;

[0021] Figure 6 A sixth flow chart of a method for determining oil and gas recovery rate provided in an embodiment of the present invention;

[0022] Figure 7 One of the structural block diagrams of a device for determining oil and gas recovery rate provided by an embodiment of the present invention;

[0023] Figure 8 A schematic diagram of a device for determining oil and gas recovery rate provided by an embodiment of the present invention;

[0024] Fig. 9 The second structural block diagram of a device for determining oil and gas recovery rate provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] The technical solution of the method for determining oil and gas recovery rate provided by the present invention may be implemented by a determination device, or may be determined according to actual use requirements, which is not specifically limited here. In order to more clearly describe the method for determining oil and gas recovery rate provided by the present invention, the following description is made with the determination device as the implementation body.

[0027] See also Figure 1 The embodiment of the present invention provides a method for determining oil and gas recovery rate, which may include the following steps:

[0028] S101, obtaining oil and gas production data of the oil field to be detected;

[0029] S102, performing data processing on the oil and gas production data to obtain first data and second data;

[0030] S103, obtaining the third data, the fourth data and the pre-stored oil and gas recovery rate of the pre-stored oil field;

[0031] S104, when the first data and the third data are the same, determining a similarity coefficient corresponding to the second data and the fourth data;

[0032] S105. Determine the target oil and gas recovery factor of the oil field to be detected based on the similarity coefficient and the pre-stored oil and gas recovery factors.

[0033] In this embodiment, a method for determining oil and gas recovery rate is provided, wherein the oil and gas recovery rate is used to represent the recovery rate of oil or natural gas in the oil field to be detected, and the oil field to be detected is an oil field to be developed and detected.

[0034] For example, the oil field to be detected may specifically be an oil (gas) field to be explored and developed.

[0035] The determination device obtains oil and gas production data of the oil field to be detected, wherein the oil and gas production data is used to represent the production situation of the oil field to be detected.

[0036] Exemplarily, the oil and gas production data may include production data of a region corresponding to the oil field to be detected.

[0037] The determination device processes the oil and gas production data to determine first data and second data, wherein the first data is non-quantitative data of the oil field to be detected, and the second data is quantifiable data of the oil field to be detected.

[0038] For example, the first data may include non-quantitative data such as the sedimentary environment and lithology of the oil field to be detected.

[0039] For example, the second data may include quantitative data such as the formation depth, oil layer thickness, etc. of the oil field to be detected.

[0040] The determination device obtains the third data, the fourth data and the pre-stored oil and gas recovery rate of the pre-stored oil field, wherein the pre-stored oil field is a pre-stored known oil field, the pre-stored oil and gas recovery rate is the oil and gas recovery rate of the pre-stored oil field, the third data is the non-quantitative data of the pre-stored oil field, and the fourth data is the quantifiable data of the pre-stored oil field.

[0041] For example, the pre-existing oil field may specifically be an oil field that has been explored and developed.

[0042] For example, the third data may include non-quantitative data such as the depositional environment and lithology of the pre-stored oil field.

[0043] Exemplarily, the fourth data may include quantitative data such as the formation depth, oil layer thickness, etc. of the pre-stored oil field.

[0044] In the case that the first data and the third data are the same, the determining device determines a similarity coefficient corresponding to the second data and the fourth data, wherein the similarity coefficient is a similarity coefficient between the second data and the fourth data.

[0045] Exemplarily, in the case where the first data and the third data include the same data, the first data is the same as the third data.

[0046] The determination device performs data processing on the similarity coefficient and the pre-stored oil and gas recovery rate to obtain a target oil and gas recovery rate of the oil field to be detected, wherein the target oil and gas recovery rate is the oil and gas recovery rate of the oil field to be detected.

[0047] Exemplarily, the similarity coefficient may be specifically 99%.

[0048] The method for determining the oil and gas recovery rate in this embodiment processes the oil and gas production data of the oil field to be detected to determine the first data and the second data, and obtains the third data, the fourth data and the pre-stored oil and gas recovery rate of the pre-stored oil field. When the first data and the third data are the same, the similarity coefficient corresponding to the second data and the fourth data is determined, and then the similarity coefficient and the pre-stored oil and gas recovery rate are processed to obtain the target oil and gas recovery rate of the oil field to be detected, which simplifies the steps for determining the target oil and gas recovery rate, thereby improving the efficiency of determining the target oil and gas recovery rate and ensuring the data accuracy of the target oil and gas recovery rate.

[0049] In some embodiments, optionally, Figure 2 As shown, a method for determining oil and gas recovery rate is proposed, and the similarity coefficient corresponding to the second data and the fourth data is determined, including:

[0050] S201, normalizing the second data to obtain a first parameter set of the oil field to be detected;

[0051] S202, normalizing the fourth data to obtain a second parameter set of the pre-stored oil field;

[0052] S203: Determine a similarity coefficient according to the first parameter set and the second parameter set.

[0053] In this embodiment, the determining device normalizes the second data to obtain a first parameter set of the oil field to be detected, wherein the first parameter set is a set of oil field parameters of the oil field to be detected.

[0054] Exemplarily, the first parameter set is a data set with a parameter range between [0, 1].

[0055] The determining device normalizes the fourth data to obtain a second parameter set of the pre-stored oil field, wherein the second parameter set is a set of oil field parameters of the pre-stored oil field.

[0056] Exemplarily, the second parameter set is a data set with a parameter range between [0, 1].

[0057] The determination device performs data processing on the first parameter set and the second parameter set to obtain a similarity coefficient.

[0058] Exemplarily, the first parameter set and the second parameter set may be compared to obtain a similarity coefficient.

[0059] The method for determining the oil and gas recovery rate in this embodiment obtains the first parameter set of the oil field to be detected by normalizing the second data, and obtains the second parameter set of the pre-stored oil field by normalizing the fourth data, and then obtains the similarity coefficient by data processing the first parameter set and the second parameter set, thereby ensuring the data accuracy of the similarity coefficient and further ensuring the data accuracy of the target oil and gas recovery rate.

[0060] In some embodiments, optionally, Figure 3 As shown, a method for determining oil and gas recovery rate is proposed, and data processing is performed on oil and gas production data to obtain first data and second data, including:

[0061] S301, obtaining the data type of oil and gas production data;

[0062] S302. Classify the oil and gas production data according to the data type to obtain first data and second data.

[0063] In this embodiment, the determination device obtains the data type corresponding to the oil and gas production data, and classifies the oil and gas production data according to the data type to obtain first data and second data, wherein the data type is the type corresponding to the oil and gas production data.

[0064] Exemplarily, the data type may include a quantifiable data type and a non-quantifiable data type.

[0065] The method for determining the oil and gas recovery rate in this embodiment obtains the data type corresponding to the oil and gas production data, and classifies the oil and gas production data according to the data type to obtain first data and second data, thereby ensuring the data accuracy of the first data and the second data, and further ensuring the data accuracy of the target oil and gas recovery rate.

[0066] In some embodiments, optionally, Figure 4 As shown in the figure, a method for determining oil and gas recovery rate is proposed. Based on the similarity coefficient and the pre-stored oil and gas recovery rate, the target oil and gas recovery rate of the oil field to be detected is determined, including:

[0067] S401, performing data processing on the second data and the fourth data to determine a determination coefficient of the oil field to be detected;

[0068] S402: Determine the target oil and gas recovery factor according to the judgment coefficient, the pre-stored oil and gas recovery factor and the similarity coefficient.

[0069] In this embodiment, the determination device performs data processing on the second data and the fourth data to determine a judgment coefficient of the oil field to be detected, wherein the judgment coefficient is a coefficient used to determine a target oil and gas recovery rate.

[0070] Exemplarily, the difference between the second data and the fourth data is summed to obtain the determination coefficient.

[0071] The determination device performs data processing on the judgment coefficient, the pre-stored oil and gas recovery factor and the similarity coefficient to obtain the target oil and gas recovery factor.

[0072] The method for determining the oil and gas recovery rate in this embodiment processes the second data and the fourth data to determine the judgment coefficient of the oil field to be detected, and then processes the judgment coefficient, the pre-stored oil and gas recovery rate and the similarity coefficient to obtain the target oil and gas recovery rate, thereby ensuring the data accuracy of the target oil and gas recovery rate.

[0073] In some embodiments, optionally, Figure 5 As shown, a method for determining oil and gas recovery factor is proposed, and the method for determining oil and gas recovery factor includes:

[0074] S501, obtaining oil and gas production data of the oil field to be detected;

[0075] S502, performing data processing on the oil and gas production data to obtain first data and second data;

[0076] S503, obtaining the third data, the fourth data and the pre-stored oil and gas recovery rate of the pre-stored oil field;

[0077] S504: when the plurality of first parameters and the plurality of second parameters are identical one by one, determining that the first data and the third data are identical;

[0078] S505. When the first data and the third data are the same, determine the similarity coefficients corresponding to the second data and the fourth data;

[0079] S506: Determine the target oil and gas recovery factor of the oil field to be detected based on the similarity coefficient and the pre-stored oil and gas recovery factor.

[0080] In this embodiment, the first data includes multiple first parameters, and the third data includes multiple second parameters, wherein the multiple second parameters correspond one-to-one to the multiple first parameters, the first parameters are non-quantitative parameters of the oil field to be detected, and the second parameters are quantitative parameters of the oil field to be detected.

[0081] For example, the plurality of first parameters may include non-quantitative data such as the sedimentary environment and lithology of the oil field to be detected.

[0082] Exemplarily, the plurality of second parameters include quantitative data such as the formation depth, oil layer thickness, etc. of the oil field to be detected.

[0083] In the case where the plurality of first parameters and the plurality of second parameters are identical one by one, the determining device determines that the first data and the third data are identical.

[0084] The method for determining the oil and gas recovery rate in this embodiment determines that the first data and the third data are the same when multiple first parameters and multiple second parameters are the same one by one, thereby ensuring the data accuracy of the first data and the third data, and further ensuring the data accuracy of the target oil and gas recovery rate.

[0085] In some embodiments, optionally, Figure 6 As shown, a method for determining oil and gas recovery factor is proposed, and the method for determining oil and gas recovery factor includes:

[0086] S601, obtaining oil and gas production data of the oil field to be detected;

[0087] S602, performing data processing on the oil and gas production data to obtain first data and second data;

[0088] S603, obtaining the third data, the fourth data and the pre-stored oil and gas recovery rate of the pre-stored oil field;

[0089] S604, when the first data and the third data are different, updating the pre-stored oil field;

[0090] S605: when the first data and the third data are the same, determine the similarity coefficients corresponding to the second data and the fourth data;

[0091] S606: Determine the target oil and gas recovery factor of the oil field to be detected based on the similarity coefficient and the pre-stored oil and gas recovery factors.

[0092] In this embodiment, when the first data and the third data are different, the determining device updates the pre-stored oil field.

[0093] Exemplarily, the data of pre-stored oil fields can be stored in a database, and the database can include data of multiple oil fields such as oil field A, oil field B and oil field C. When the first data and the third data are different, the pre-stored oil field can be updated from oil field A to oil field B. If the first data and the third data are still different, the pre-stored oil field can be updated from oil field B to oil field C until the first data and the third data are the same.

[0094] The method for determining the oil and gas recovery rate in this embodiment updates the pre-stored oil field when the first data and the third data are different, thereby ensuring the data accuracy of the pre-stored oil field and further ensuring the data accuracy of the target oil and gas recovery rate.

[0095] Based on the same inventive concept, Figure 7 As shown, an embodiment of the present invention further provides a device for determining oil and gas recovery rate, and the device for determining oil and gas recovery rate includes:

[0096] Processing module 702, used to obtain oil and gas production data of the oil field to be detected, where the oil and gas production data is used to indicate the oil and gas production status of the oil field to be detected;

[0097] The processing module 702 is also used to determine the oil and gas recovery rate of the oil and gas production data to obtain first data and second data, wherein the first data is non-quantitative data of the oil field to be detected, and the second data is quantifiable data of the oil field to be detected;

[0098] The processing module 702 is further used to obtain third data, fourth data and pre-stored oil and gas recovery rate of the pre-stored oil field, the third data is non-quantitative data of the pre-stored oil field, and the fourth data is quantifiable data of the pre-stored oil field;

[0099] The processing module 702 is further used to determine the similarity coefficients corresponding to the second data and the fourth data when the first data and the third data are the same;

[0100] The processing module 702 is further used to determine the target oil and gas recovery factor of the oil field to be detected based on the similarity coefficient and the pre-stored oil and gas recovery factors.

[0101] In this embodiment, a device 700 for determining oil and gas recovery rate is provided, wherein the oil and gas recovery rate is used to represent the recovery rate of oil or natural gas in the oil field to be detected, and the oil field to be detected is an oil field to be developed and detected.

[0102] For example, the oil field to be detected may specifically be an oil (gas) field to be explored and developed.

[0103] The processing module 702 obtains the oil and gas production data of the oil field to be detected, wherein the oil and gas production data is used to represent the production situation of the oil field to be detected.

[0104] Exemplarily, the oil and gas production data may include production data of a region corresponding to the oil field to be detected.

[0105] The processing module 702 processes the oil and gas production data to determine first data and second data, wherein the first data is non-quantitative data of the oil field to be detected, and the second data is quantifiable data of the oil field to be detected.

[0106] For example, the first data may include non-quantitative data such as the sedimentary environment and lithology of the oil field to be detected.

[0107] For example, the second data may include quantitative data such as the formation depth, oil layer thickness, etc. of the oil field to be detected.

[0108] Processing module 702 obtains the third data, fourth data and pre-stored oil and gas recovery rate of the pre-stored oil field, wherein the pre-stored oil field is a pre-stored known oil field, the pre-stored oil and gas recovery rate is the oil and gas recovery rate of the pre-stored oil field, the third data is the non-quantitative data of the pre-stored oil field, and the fourth data is the quantifiable data of the pre-stored oil field.

[0109] For example, the pre-existing oil field may specifically be an oil field that has been explored and developed.

[0110] For example, the third data may include non-quantitative data such as the depositional environment and lithology of the pre-stored oil field.

[0111] Exemplarily, the fourth data may include quantitative data such as the formation depth, oil layer thickness, etc. of the pre-stored oil field.

[0112] In the case that the first data and the third data are the same, the processing module 702 determines a similarity coefficient corresponding to the second data and the fourth data, wherein the similarity coefficient is a similarity coefficient between the second data and the fourth data.

[0113] Exemplarily, in the case where the first data and the third data include the same data, the first data is the same as the third data.

[0114] The processing module 702 performs data processing on the similarity coefficient and the pre-stored oil and gas recovery factor to obtain a target oil and gas recovery factor of the oil field to be detected, wherein the target oil and gas recovery factor is the oil and gas recovery factor of the oil field to be detected.

[0115] Exemplarily, the similarity coefficient may be specifically 99%.

[0116] The oil and gas recovery rate determination device 700 in this embodiment determines the first data and the second data by performing data processing on the oil and gas production data of the oil field to be detected, and obtains the third data, the fourth data and the pre-stored oil and gas recovery rate of the pre-stored oil field. When the first data and the third data are the same, the similarity coefficient corresponding to the second data and the fourth data is determined, and then the similarity coefficient and the pre-stored oil and gas recovery rate are processed to obtain the target oil and gas recovery rate of the oil field to be detected, which simplifies the steps of determining the target oil and gas recovery rate, thereby improving the efficiency of determining the target oil and gas recovery rate and ensuring the data accuracy of the target oil and gas recovery rate.

[0117] In some embodiments, optionally, a device 700 for determining oil and gas recovery rate is proposed, further comprising:

[0118] The processing module 702 is further used to perform normalization processing on the second data to obtain a first parameter set of the oil field to be detected, where the first parameter set is a set of oil field parameters of the oil field to be detected;

[0119] The processing module 702 is further used to perform normalization processing on the fourth data to obtain a second parameter set of the pre-stored oil field, where the second parameter set is a set of oil field parameters of the pre-stored oil field;

[0120] The processing module 702 is further configured to determine a similarity coefficient according to the first parameter set and the second parameter set.

[0121] The oil and gas recovery rate determination device 700 in this embodiment obtains the first parameter set of the oil field to be detected by normalizing the second data, and obtains the second parameter set of the pre-stored oil field by normalizing the fourth data, and then performs data processing on the first parameter set and the second parameter set to obtain the similarity coefficient, thereby ensuring the data accuracy of the similarity coefficient and further ensuring the data accuracy of the target oil and gas recovery rate.

[0122] In some embodiments, optionally, a device 700 for determining oil and gas recovery rate is proposed, further comprising:

[0123] The processing module 702 is also used to obtain the data type of the oil and gas production data;

[0124] The processing module 702 is further used to classify the oil and gas production data according to the data type to obtain the first data and the second data.

[0125] The oil and gas recovery rate determination device 700 in this embodiment obtains the data type corresponding to the oil and gas production data, and classifies the oil and gas production data according to the data type to obtain first data and second data, thereby ensuring the data accuracy of the first data and the second data, and further ensuring the data accuracy of the target oil and gas recovery rate.

[0126] In some embodiments, optionally, a device 700 for determining oil and gas recovery rate is proposed, further comprising:

[0127] The processing module 702 is further used to perform data processing on the second data and the fourth data to determine the judgment coefficient of the oil field to be detected;

[0128] The processing module 702 is further used to determine the target oil and gas recovery factor according to the judgment coefficient, the pre-stored oil and gas recovery factor and the similarity coefficient.

[0129] The oil and gas recovery rate determination device 700 in this embodiment determines the judgment coefficient of the oil field to be detected by performing data processing on the second data and the fourth data, and then performs data processing on the judgment coefficient, the pre-stored oil and gas recovery rate and the similarity coefficient to obtain the target oil and gas recovery rate, thereby ensuring the data accuracy of the target oil and gas recovery rate.

[0130] In some embodiments, optionally, a device 700 for determining oil and gas recovery rate is proposed, further comprising:

[0131] The processing module 702 is further configured to determine that the first data and the third data are the same when the plurality of first parameters and the plurality of second parameters are the same one by one.

[0132] The oil and gas recovery rate determination device 700 in this embodiment determines that the first data and the third data are the same when multiple first parameters and multiple second parameters are the same one by one, thereby ensuring the data accuracy of the first data and the third data, and further ensuring the data accuracy of the target oil and gas recovery rate.

[0133] In some embodiments, optionally, a device 700 for determining oil and gas recovery rate is proposed, further comprising:

[0134] The processing module 702 is further configured to update the pre-stored oil field when the first data and the third data are different.

[0135] The oil and gas recovery factor determination device 700 in this embodiment updates the pre-stored oil field when the first data and the third data are different, thereby ensuring the data accuracy of the pre-stored oil field and further ensuring the data accuracy of the target oil and gas recovery factor.

[0136] For example, Figure 8As shown, the oil and gas recovery factor determination device 700 can implement the following steps:

[0137] (1) Obtain the production data of the established blocks and filter the data, retaining only the relevant factors that affect the economic recovery rate, and establish a block economic recovery rate database. Among them, statistical classification is performed on each parameter, which is divided into non-quantitative data M (sedimentary environment, lithology, etc.) and quantifiable data N (stratum depth, oil layer thickness, etc.). Q is the non-quantitative data of the target block Q and M K is the non-quantitative data of similar block K.

[0138] (2) Establish a parameter table based on the data M and N, and set a standard normalization correspondence table for the quantifiable data N.

[0139] (3) Obtain data information of the exploration target block, and screen and classify the target block data according to the parameter types contained in the database, and also divide them into non-quantitative data M and quantifiable data N. The parameter index table is shown in Table 1. The following tables are only examples and are not equivalent to limiting the present invention. The actual parameters and ranges used can be flexibly adjusted according to the situation.

[0140] Table 1 Parameter index table

[0141]

[0142] (4) Extract a similar block K from the database. For data M = (m1, m2, …, m n ) to match, if all matches meet (m Q1 =m K1 ,m Q2 =m K2 ,…,m Qn =m Kn ), the data N can be processed. If the match is unsuccessful (i.e., any item in M ​​is not equal), the block K is re-extracted until the condition is met.

[0143] (5) For a quantifiable data set N = (n1, n2, ..., n n ) According to the definition standard, standard normalization is performed so that the range of each parameter is between [0,1]. After processing, the data set N of the target block Q and the similar block K can be obtained. Q and N K The parameter correspondence diagram is shown in Table 2.

[0144] Table 2 Parameter examples

[0145]

[0146] (6) The processed parameter set N Qand N K Substitute the multi-dimensional similarity coefficient formula into the calculation to obtain the similarity coefficient D value between Q and K.

[0147] The Euclidean distance method is used to define the multi-dimensional similarity coefficient formula. Euclidean distance is a common distance measurement method, which is often used to measure the similarity between two entities or two entity groups. As a similarity coefficient, the numerical value of the similarity index directly reflects the similarity between the two entities. Its definition is:

[0148]

[0149] In the formula, Dis is the similarity coefficient, x i ,y i is the i-th coordinate of x and y, x and y are specific data, and n is a constant.

[0150] However, considering that the Euclidean distance has no definite upper bound, as the number of calculation parameters n increases, the value range of the Euclidean distance becomes larger. Therefore, the Euclidean distance formula is standardized and the range of the multi-dimensional similarity coefficient formula is set to D∈[0,1].

[0151] The multi-dimensional similarity coefficient formula D is defined as shown in formula (2). The smaller the value, the higher the similarity between Q and K.

[0152]

[0153] In the formula, Dis is the similarity coefficient, N Qi 、N Ki N Q 、N K The i-th parameter value, N Q is the quantifiable data of the target block Q, N K is the quantifiable data of similar block K, and n is a constant.

[0154] (7) Set the judgment coefficient J and define the formula of J as:

[0155]

[0156] In the formula, J is the judgment coefficient, N Qi 、N Ki N Q 、N K The i-th parameter value, N Q is the quantifiable data of the target block Q, N K is the quantifiable data of similar block K, and n is a constant.

[0157] The calculation formula for defining the economic recovery factor of the target block is:

[0158]

[0159] Where x is the economic recovery factor of block K, y is the economic recovery factor of the target block, and J is the judgment coefficient.

[0160] Given the x value of block K, calculate the judgment coefficient J, and according to the calculation formula of the economic recovery rate of the target block, obtain the economic recovery rate y of Q.

[0161] Exemplarily, the oil and gas recovery factor determination device 700 may implement the following steps:

[0162] (1) Collect data information of the exploration target block Q, and screen and classify the target block data according to the parameter types contained in the database, which are also divided into non-quantitative data M (sedimentary environment, lithology) and quantifiable data N (stratum depth, oil layer thickness, etc.).

[0163] (2) Extract similar blocks K from the database and match them with data M until all elements contained in data M match (m Q1 =m K1 ,m Q2 =m K2 ), the extraction is finished.

[0164] For the quantifiable data set N = (n1, n2, n3, n4, n5) of the target block Q and the similar block K, standard normalization processing is performed according to the definition standard table 2, so that the range of each parameter is between [0, 1]. The processing results are shown in Table 3. After processing, the data set N of blocks Q and K is obtained. Q and N K .

[0165] Table 3. Examples of processing results after processing each parameter

[0166]

[0167]

[0168] (3) Set the parameter set N Q and N K Substituting into the multi-dimensional similarity coefficient formula (2) for calculation, we obtain the similarity coefficient D of Q and K = 0.136.

[0169] (4) According to formula (3), calculate the judgment coefficient J and determine that J = -0.35, J < 0.

[0170] (5) It is known that the economic recovery rate of block K is x=35%, and the judgment coefficient J<0. According to formula (4), the economic recovery rate of block Q is y=30.24%.

[0171] Based on the same inventive concept, Fig. 9 As shown, the embodiment of the present invention further provides an oil and gas recovery factor determination device 900, which includes a processor 902 and a memory 904, wherein the memory 904 stores a program or instruction, and when the program or instruction is executed by the processor 902, the steps of the oil and gas recovery factor determination method in any of the above technical solutions are implemented. Therefore, the oil and gas recovery factor determination device 900 has all the beneficial effects of the oil and gas recovery factor determination method in any of the above technical solutions, which will not be described in detail here.

[0172] Based on the same inventive concept, an embodiment of the present invention further provides a storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of the method for determining the oil and gas recovery rate in any possible implementation manner described above are implemented.

[0173] Alternatively, the storage medium may be a non-transitory computer-readable storage medium, for example, the non-transitory computer-readable storage medium may be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0174] Based on the same inventive concept, an embodiment of the present invention further provides a program product, including a computer program, which, when executed by a processor, implements the steps of the method for determining the oil and gas recovery factor in any possible implementation manner described above.

[0175] The embodiments of the subject matter and functional operations described in this specification may be implemented in the following: digital electronic circuits, tangibly embodied computer software or firmware, computer hardware including the structures disclosed in this specification and their structural equivalents, or a combination of one or more of them. The embodiments of the subject matter described in this specification may be implemented as one or more computer programs, i.e., one or more modules in computer program instructions encoded on a tangible non-temporary program carrier to be executed by a data processing device or to control the operation of the data processing device. Alternatively or additionally, the program instructions may be encoded on an artificially generated propagation signal, such as a machine-generated electrical, optical or electromagnetic signal, which is generated to encode information and transmit it to a suitable receiver device for execution by a data processing device. The computer storage medium may be a machine-readable storage device, a machine-readable storage substrate, a random or serial access memory device, or a combination of one or more of them.

[0176] The processes and logic flows described in this specification can be performed by one or more programmable computers executing one or more computer programs to perform corresponding functions by operating on input data and generating output. The processes and logic flows can also be performed by special purpose logic circuits, such as FPGAs (field programmable gate arrays) or ASICs (application-specific integrated circuits), and the apparatus can also be implemented as special purpose logic circuits.

[0177] Computers suitable for executing computer programs include, for example, general and / or special microprocessors, or any other type of central processing unit. Typically, the central processing unit will receive instructions and data from a read-only memory and / or a random access memory. The basic components of a computer include a central processing unit for implementing or executing instructions and one or more memory devices for storing instructions and data. Typically, the computer will also include one or more large-capacity storage devices for storing data, such as magnetic disks, magneto-optical disks, or optical disks, or the computer will be operably coupled to this large-capacity storage device to receive data from it or to transmit data to it, or both. However, the computer does not necessarily have such a device. In addition, the computer can be embedded in another device, such as a mobile phone, a personal digital assistant (PDA), a mobile audio or video player, a game console, a global positioning system (GPS) receiver, or a portable storage device such as a universal serial bus (USB) flash drive, to name a few.

[0178] Computer readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media and memory devices, including, for example, semiconductor memory devices (e.g., EPROM, EEPROM and flash memory devices), magnetic disks (e.g., internal hard disks or removable disks), magneto-optical disks, and CD-ROM and DVD-ROM disks. The processor and memory may be supplemented by, or incorporated in, special purpose logic circuitry.

[0179] Although this specification includes many specific implementation details, these should not be interpreted as limiting the scope of any invention or the scope of protection claimed, but are mainly used to describe the features of the specific embodiments of specific inventions. Certain features described in multiple embodiments in this specification may also be implemented in combination in a single embodiment. On the other hand, the various features described in a single embodiment may also be implemented separately in multiple embodiments or in any suitable sub-combination. In addition, although features may work in certain combinations as described above and even initially claim protection, one or more features from the claimed combination may be removed from the combination in some cases, and the claimed combination may point to a sub-combination or a variation of a sub-combination.

[0180] Similarly, although operations are depicted in a particular order in the accompanying drawings, this should not be understood as requiring that these operations be performed in the particular order shown or performed sequentially, or requiring that all illustrated operations be performed to achieve the desired results. In some cases, multitasking and parallel processing may be advantageous. In addition, the separation of various system modules and components in the above-described embodiments should not be understood as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product, or packaged into multiple software products.

[0181] Thus, specific embodiments of the subject matter have been described. Other embodiments are within the scope of the appended claims. In some cases, the actions recited in the claims can be performed in a different order and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the particular order or sequential order shown to achieve the desired results. In some implementations, multitasking and parallel processing may be advantageous.

[0182] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0183] The foregoing is merely a specific embodiment of the present invention, which enables those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for determining oil and gas recovery rate, characterized in that: The method for determining the oil and gas recovery factor includes: Acquiring oil and gas production data of the oil field to be detected, wherein the oil and gas production data is used to indicate the oil and gas production status of the oil field to be detected; Processing the oil and gas production data to obtain first data and second data, wherein the first data is non-quantitative data of the oil field to be detected, and the second data is quantifiable data of the oil field to be detected; Acquire third data, fourth data and pre-stored oil and gas recovery rate of the pre-stored oil field, wherein the third data is non-quantitative data of the pre-stored oil field, and the fourth data is quantifiable data of the pre-stored oil field; When the first data and the third data are the same, determining a similarity coefficient corresponding to the second data and the fourth data; Based on the similarity coefficient and the pre-stored oil and gas recovery factor, a target oil and gas recovery factor of the oil field to be detected is determined.

2. The method for determining oil and gas recovery rate according to claim 1, characterized in that: The determining of the similarity coefficient corresponding to the second data and the fourth data includes: Normalizing the second data to obtain a first parameter set of the oil field to be detected, where the first parameter set is a set of oil field parameters of the oil field to be detected; Normalizing the fourth data to obtain a second parameter set of the pre-stored oil field, where the second parameter set is a set of oil field parameters of the pre-stored oil field; The similarity coefficient is determined according to the first parameter set and the second parameter set.

3. The method for determining oil and gas recovery rate according to claim 1, characterized in that: The processing of the oil and gas production data to obtain the first data and the second data includes: Acquire the data type of the oil and gas production data; The oil and gas production data is classified according to the data type to obtain the first data and the second data.

4. The method for determining oil and gas recovery rate according to claim 1, characterized in that: The step of determining the target oil and gas recovery factor of the oil field to be detected based on the similarity coefficient and the pre-stored oil and gas recovery factor comprises: Performing data processing on the second data and the fourth data to determine a determination coefficient of the oil field to be detected; The target oil and gas recovery factor is determined according to the judgment coefficient, the pre-stored oil and gas recovery factor and the similarity coefficient.

5. The method for determining oil and gas recovery rate according to any one of claims 1 to 4, characterized in that: The first data includes a plurality of first parameters, the third data includes a plurality of second parameters, the plurality of second parameters correspond to the plurality of first parameters one by one, and after obtaining the third data and the fourth data of the pre-stored oil field, the method further includes: When a plurality of the first parameters and a plurality of the second parameters are identical one by one, it is determined that the first data and the third data are identical.

6. The method for determining oil and gas recovery rate according to any one of claims 1 to 4, characterized in that: After the third data and the fourth data of the pre-stored oil field are obtained, the method further includes: When the first data and the third data are different, the pre-stored oil field is updated.

7. A device for determining oil and gas recovery rate, characterized in that: The device for determining the oil and gas recovery factor comprises: A processing module, used for acquiring oil and gas production data of the oil field to be detected, wherein the oil and gas production data is used for indicating the oil and gas production status of the oil field to be detected; The processing module is further used to determine the oil and gas recovery rate of the oil and gas production data to obtain first data and second data, wherein the first data is non-quantitative data of the oil field to be detected, and the second data is quantifiable data of the oil field to be detected; The processing module is further used to obtain third data, fourth data and pre-stored oil and gas recovery rate of the pre-stored oil field, the third data is non-quantitative data of the pre-stored oil field, and the fourth data is quantifiable data of the pre-stored oil field; The processing module is further used to determine a similarity coefficient corresponding to the second data and the fourth data when the first data and the third data are the same; The processing module is further used to determine the target oil and gas recovery rate of the oil field to be detected based on the similarity coefficient and the pre-stored oil and gas recovery rate.

8. A device for determining oil and gas recovery rate, characterized in that: include: processor; A memory, wherein a program or instruction is stored in the memory, and when the processor executes the program or instruction in the memory, the steps of the method for determining the oil and gas recovery factor as described in any one of claims 1 to 6 are implemented.

9. A storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, the steps of the method for determining the oil and gas recovery factor according to any one of claims 1 to 6 are implemented.

10. A program product, characterized in that The method comprises a computer program, which, when executed by a processor, implements the steps of the method for determining the oil and gas recovery factor according to any one of claims 1 to 6.

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