Heavy oil reservoir exploitation determination method and device and electronic equipment

Abstract

The invention discloses a heavy oil reservoir exploitation determination method and device and electronic equipment, and relates to the technical field of oil and gas field development, the method comprises the steps that at least one target influence factor of oil reservoir produced water under different water source types and target feature values corresponding to the target influence factors are determined; based on a preset influence factor analysis algorithm and each target characteristic value under the water source type, determining a total characteristic value corresponding to all target influence factors under the water source type; and based on the total characteristic value under each water source type and the actual characteristic value of the actual influence factor corresponding to each production well in the oil reservoir, determining the proportion of different water source types in the produced water of each production well. According to the method, the water source type and the characteristic value of the produced water of the oil reservoir can be determined, the proportion of different water source types in the produced water can be determined, then deployment of the production wells is achieved, and the exploitation efficiency of all the production wells is improved.

Description

Technical Field

[0001] This application relates to the field of oil and gas field development technology, and in particular to a method, apparatus and electronic equipment for determining heavy oil reservoirs. Background Technology

[0002] Currently, heavy oil reservoirs are generally developed using thermal recovery methods such as steam injection. The water used in the steam boiler during the thermal recovery process is usually taken from local surface or groundwater sources or produced water in the oilfield. Specifically, the treated water is injected into the boiler and heated into steam for the exploitation of heavy oil reservoirs.

[0003] However, heavy oil is characterized by high crude oil viscosity and a high oil-water mobility ratio. Therefore, it is easily affected by produced water during development, and the water cut of oil wells changes rapidly. This leads to a rapid decrease in production pressure in the elastic depressurization area near the edge and bottom water of the reservoir. As the edge and bottom water gradually advances, the water intrusion range becomes larger and larger, resulting in a large area of ​​high water-cut wells with low recovery rates. Furthermore, the medium and low water-cut wells are also affected by produced water to varying degrees after multiple rounds of huff and puff, leading to rapid cycle decline and difficulty in stabilizing production. Therefore, the analysis of produced water in oil fields is particularly important.

[0004] Currently, the analysis of produced water in heavy oil fields mainly focuses on water treatment technologies. Traditional water treatment methods include reinjection, chemical treatment, biological treatment, and ultrafiltration membrane treatment. These methods primarily target the principal component analysis and identification of water sources, specifically establishing a mine water inrush source discrimination model or a gas field multi-factor water source identification model, and applying the entropy weight-fuzzy variable set model to identify coal mine water inrush sources. However, these methods cannot identify the characteristics of produced water, resulting in poor oil well reservoir extraction efficiency. Summary of the Invention

[0005] This application provides a method, apparatus, and electronic device for determining the exploitation of heavy oil reservoirs. The embodiments provided by this application solve the technical problem of poor exploitation effect of oil reservoirs in the prior art. The embodiments provided by this application can determine the water source type and characteristic value of the produced water in the reservoir, and determine the proportion of different water source types in the produced water, thereby realizing the deployment of production wells and improving the exploitation efficiency of each production well.

[0006] In a first aspect, this application provides a method for determining the exploitation of heavy oil reservoirs, including:

[0007] Based on at least one type of water source corresponding to reservoir produced water and a preset water layer influence factor, determine at least one candidate influence factor for the reservoir produced water under each type of water source and the characteristic value corresponding to each candidate influence factor;

[0008] Each of the aforementioned feature values ​​is filtered according to a preset feature threshold to determine at least one target influencing factor of the reservoir produced water under different water source types and the target feature value corresponding to each of the aforementioned target influencing factors;

[0009] For any of the water source types, based on a preset impact factor analysis algorithm and each of the target feature values ​​under the water source type, the total feature value corresponding to all the target impact factors under the water source type is determined;

[0010] Based on the total characteristic value of each water source type and the actual characteristic value of the actual influencing factor corresponding to each production well in the reservoir, the proportion of different water source types in the produced water of each production well is determined so as to realize the deployment of the production wells and complete the exploitation of the reservoir.

[0011] In one feasible implementation, the water source types include injected water sources and formation water sources. The step of determining at least one candidate influence factor for the produced water under each of the aforementioned water source types, and the characteristic values ​​corresponding to each candidate influence factor, based on at least one water source type corresponding to the produced water and a preset water layer influence factor, includes:

[0012] Based on the preset water layer influence factor, at least one candidate injection water influence factor and a first characteristic value corresponding to each candidate injection water influence factor are determined from the injection water source corresponding to the reservoir produced water.

[0013] Based on the preset water layer influence factor, at least one candidate formation water influence factor and a second characteristic value corresponding to each candidate formation water influence factor are determined from the formation water sources corresponding to the oil reservoir produced water.

[0014] In one feasible implementation, the step of filtering each of the feature values ​​according to a preset feature threshold to determine at least one target influence factor of the reservoir produced water under different water source types and the target feature value corresponding to each of the target influence factors includes:

[0015] The candidate injected water influence factors corresponding to the first feature value greater than the preset feature threshold are determined as the target influence factors of reservoir produced water under the injected water source, and the first target feature value corresponding to the target influence factor is determined; and,

[0016] The candidate formation water influence factors corresponding to the second feature value that is greater than the preset feature threshold are determined as the target influence factors of reservoir produced water under formation water source conditions, and the second target feature value corresponding to the target influence factor is determined.

[0017] In one feasible implementation, the total characteristic value includes a first total characteristic value. The step of determining the total characteristic value corresponding to all target impact factors under any given water source type, based on a preset impact factor analysis algorithm and each of the target characteristic values ​​under that water source type, includes:

[0018] For the source of injected water, based on the preset factor calculation formula and the first target feature value in the preset impact factor analysis algorithm, the first total feature value corresponding to all target impact factors under the source of injected water is determined.

[0019] In one feasible implementation, the total characteristic value includes a second total characteristic value. The step of determining the total characteristic value corresponding to all target impact factors under any given water source type, based on a preset impact factor analysis algorithm and each of the target characteristic values ​​under that water source type, includes:

[0020] For the formation water source, based on the preset factor calculation formula and the second target feature value in the preset influence factor analysis algorithm, the second total feature value corresponding to all target influence factors under the formation water source is determined.

[0021] In one feasible implementation, determining the proportion of different water source types in the produced water of each production well based on the total characteristic value under each water source type and the actual characteristic value of the actual influencing factor corresponding to each production well in the reservoir includes:

[0022] Based on the actual characteristic values ​​of the actual influencing factors corresponding to each production well in the reservoir, the actual total characteristic value of the produced water corresponding to each production well is determined.

[0023] Based on the actual total characteristic value, the first total characteristic value, and the second total characteristic value, the proportion of groundwater source type of produced water from each production well is determined.

[0024] In one feasible implementation, determining the actual total characteristic value of the produced water corresponding to each production well based on the actual characteristic values ​​of the actual influencing factors corresponding to each production well in the reservoir includes:

[0025] Based on the actual characteristic values ​​of the actual influencing factors corresponding to each production well in the reservoir and the preset factor calculation formula, the actual total characteristic value corresponding to the produced water of each production well is determined.

[0026] In a second aspect, this application provides an apparatus for determining heavy oil reservoir development, the apparatus comprising:

[0027] The first determining module is used to determine at least one candidate influence factor of the reservoir produced water under each of the water source types and the characteristic value corresponding to each candidate influence factor, based on at least one type of water source corresponding to the reservoir produced water and a preset water layer influence factor.

[0028] The second determining module is used to filter each of the feature values ​​according to a preset feature threshold, and determine at least one target influence factor of the reservoir produced water under different water source types and the target feature value corresponding to each of the target influence factors.

[0029] The third determining module is used to determine the total characteristic value corresponding to all the target influence factors under any of the water source types, based on a preset influence factor analysis algorithm and each of the target characteristic values ​​under the water source type;

[0030] The fourth determining module is used to determine the proportion of different water source types in the produced water of each production well based on the total characteristic value of each water source type and the actual characteristic value of the actual influencing factor corresponding to each production well in the reservoir, so as to realize the deployment of the production wells and complete the exploitation of the reservoir.

[0031] In a third aspect of this application, an electronic device is provided, comprising: a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus, and the machine-readable instructions are executed by the processor to perform the steps of the method for determining heavy oil reservoir exploitation as described above.

[0032] In a fourth aspect of this application, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, performs the steps of the method for determining heavy oil reservoir exploitation as described above.

[0033] Compared with the prior art, the method, apparatus, and electronic equipment for determining heavy oil reservoir exploitation provided in this application determine at least one candidate influence factor and corresponding characteristic value of the reservoir produced water under various water source types based on at least one type of water source corresponding to the reservoir produced water and a preset water layer influence factor. The characteristic value is then filtered according to a preset characteristic threshold to determine at least one target influence factor and corresponding target characteristic value of the reservoir produced water under different water source types. Then, for any water source type, the total characteristic value corresponding to all target influence factors under the water source type is determined through a preset influence factor analysis algorithm and the target characteristic values ​​under the water source type. Based on the total characteristic value under each water source type and the actual characteristic value of the actual influence factor corresponding to each production well in the reservoir, the proportion of different water source types in the produced water of each production well is determined, thus completing the exploitation of the reservoir. This application can determine the water source type and characteristic value of the reservoir produced water, and determine the proportion of different water source types in the produced water, thereby enabling the deployment of production wells and improving the exploitation efficiency of each production well. Attached Figure Description

[0034] Figure 1 A flowchart illustrating a method for determining heavy oil reservoir exploitation provided in an embodiment of this application is shown.

[0035] Figure 2 This paper shows a diagram illustrating the proportion of produced water sources in a certain production well in the method for determining the exploitation of a heavy oil reservoir provided in the embodiments of this application.

[0036] Figure 3 This paper illustrates a well location map showing the water production ratio of vertical wells in a method for determining heavy oil reservoir exploitation provided in an embodiment of this application.

[0037] Figure 4 This paper illustrates a well location map showing the water production ratio of horizontal wells in a method for determining heavy oil reservoir exploitation provided in an embodiment of this application.

[0038] Figure 5 This paper shows a structural block diagram of a heavy oil reservoir exploitation determination device provided in an embodiment of this application;

[0039] Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of this application is shown.

[0040] Figure 5 and Figure 6 The correspondence between the figure labels and figure titles in the accompanying drawings is as follows:

[0041] 500 Device for determining the exploitation of heavy oil reservoirs; 510 First determining module; 520 Second determining module; 530 Third determining module; 540 Fourth determining module; 600 Electronic equipment; 610 Processor; 620 Memory; 630 Bus. Detailed Implementation

[0042] To better understand the technical solutions provided in the embodiments of this specification, the technical solutions of the embodiments of this specification will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of this specification and the specific features in the embodiments are detailed descriptions of the technical solutions of the embodiments of this specification, rather than limitations on the technical solutions of this specification. In the absence of conflict, the embodiments of this specification and the technical features in the embodiments can be combined with each other.

[0043] In this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, without necessarily requiring or implying any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element. The term "two or more" includes two or more cases.

[0044] First, the applicable application scenarios of this application will be introduced. The embodiments provided in this application are applicable to the field of oil and gas field development technology.

[0045] Currently, the analysis of produced water in heavy oil fields mainly focuses on water treatment technologies. Traditional water treatment methods include reinjection, chemical treatment, biological treatment, and ultrafiltration membrane treatment. These methods primarily target the principal component analysis and identification of water sources, specifically establishing a mine water inrush source discrimination model or a gas field multi-factor water source identification model, and applying the entropy weight-fuzzy variable set model to identify coal mine water inrush sources. However, these methods cannot identify the characteristics of produced water, resulting in poor reservoir extraction efficiency in oil wells.

[0046] Based on this, the embodiments of this application provide a method, apparatus and electronic equipment for determining the exploitation of heavy oil reservoirs. The embodiments provided by this application solve the technical problem of poor exploitation effect of oil reservoirs in the prior art. The embodiments provided by this application can determine the water source type and characteristic value of the produced water in the reservoir, and determine the proportion of different water source types in the produced water, thereby realizing the deployment of production wells and improving the exploitation efficiency of each production well.

[0047] Please see Figure 1 , Figure 1 A flowchart illustrating a method for determining heavy oil reservoir exploitation provided in this application embodiment is shown below. Figure 1 As shown, the method for determining heavy oil reservoir development includes the following steps:

[0048] S101. Based on at least one type of water source corresponding to reservoir produced water and a preset water layer influence factor, determine at least one candidate influence factor for reservoir produced water under each type of water source and the characteristic value corresponding to each candidate influence factor.

[0049] In this step, during the steam huff and puff development of heavy oil reservoirs, it was found that some types of water sources in the produced water of most areas of the oilfield are very active (assuming that the very active water source mentioned in this application is specific but not limited to formation water), which will seriously affect the effect of steam huff and puff. Therefore, the embodiments provided in this application need to determine the water source type of the reservoir produced water and the characteristic values ​​of water under different water source types.

[0050] Here, this application first determines the types of water sources included in the reservoir produced water, and then, based on the preset water layer influence factor, searches for candidate influence factors that match the preset water layer influence factor from each type of water source in the reservoir produced water, and determines the characteristic value corresponding to the candidate influence factor, that is, the chemical characteristic content.

[0051] It is understood that the water source type in the embodiments provided in this application may be specifically, but is not limited to, two types: injected water and formation water; and the oil wells of the heavy oil reservoirs in the embodiments provided in this application may be specifically, KMK reservoir oil wells.

[0052] Specifically, reservoir produced water can be defined as the produced water from the KMK reservoir wells.

[0053] In the embodiments provided in this application, the preset water layer influence factor can be specifically selected based on the conventional hydrochemical characteristics of the KMK aquifer, assuming it includes Na. + K + Ca 2+ Mg 2+ CI - HCO 3- SO42- The parameters include density (20℃), total salinity, and pH; while candidate influencing factors are used to characterize the conventional hydrochemical characteristics of the reservoir produced water phase selected from the preset water layer influencing factors. It is assumed that the candidate influencing factors in the embodiments provided in this application can be specifically, but not limited to: Na+, K+, Ca2+, Mg2+, Cl-, HCO3-, SO42-, density (20℃), total salinity, pH, and other trace elements.

[0054] S102. Filter each feature value according to the preset feature threshold to determine at least one target influence factor of reservoir produced water under different water source types and the target feature value corresponding to each target influence factor.

[0055] In this step, since the content and magnitude of the characteristic values ​​corresponding to different candidate influencing factors in the reservoir produced water are different, some candidate influencing factors, although they actually exist in the reservoir produced water, have a small impact on the reservoir produced water because their content is very low. Therefore, this application needs to remove the candidate influencing factors with small impact and the characteristic values ​​corresponding to the candidate influencing factors from the characteristic values ​​according to the preset characteristic threshold. Then, the remaining candidate influencing factors that meet the preset characteristic threshold requirements are determined as at least one target influencing factor under different water source types, and the target characteristic value corresponding to the target influencing factor is determined. In this way, the computational load and energy consumption can be reduced while determining the proportion of water source types.

[0056] It is understood that the preset feature threshold in the embodiments provided in this application may be specific but not limited to 1. When the feature value is greater than or equal to the preset feature threshold 1, the feature value greater than or equal to 1 is determined to be the target feature value, and the candidate influence factor corresponding to the target feature value is determined to be the target influence factor.

[0057] S103. For any water source type, based on the preset impact factor analysis algorithm and the target characteristic values ​​under the water source type, determine the total characteristic value corresponding to all target impact factors under the water source type.

[0058] In this step, in the embodiments provided in this application, regardless of the type of water source, that is, whether it is injected water source or formation water source, the factor calculation formula corresponding to all target influence factors under the water source type can be determined by the component score coefficient matrix in the preset influence factor analysis algorithm provided in the embodiments of this application. Then, the total characteristic value corresponding to the target influence factor is determined by the factor calculation formula and each target characteristic value under the water source type.

[0059] It is understood that the preset impact factor analysis algorithm in the embodiments provided in this application may specifically, but is not limited to, using the factor analysis module in statistical analysis software (Statistical Package for the Social Sciences, SPSS) to process and analyze the target feature values ​​under different water source types, and determine the total feature value corresponding to all target impact factors under the water source type based on the component score coefficient matrix in the statistical analysis software.

[0060] In the embodiments provided in this application, the total eigenvalue is used to characterize the total eigenvalue corresponding to all target influence factors determined based on the preset component score coefficient matrix and each eigenvalue.

[0061] S104. Based on the total characteristic value of each water source type and the actual characteristic value of the actual influencing factor corresponding to each production well in the reservoir, determine the proportion of different water source types in the produced water of each production well, so as to realize the deployment of production wells and complete the exploitation of the reservoir.

[0062] In this step, after determining the total characteristic value under different water source types, the actual characteristic value under the actual influence factor corresponding to each production well in the reservoir is input into the factor calculation formula determined based on the preset influence factor analysis algorithm. The actual total characteristic value corresponding to the produced water of each production well in each actual production stage is determined. Then, based on each actual total characteristic value and the total characteristic value under different water source types, a set of equations is established to solve the proportion of different water source types in the produced water of each production well. This reduces the limitations of heavy oil reservoir development caused by the different proportions of different water sources in the produced water. Since the embodiments provided in this application can determine the proportion of different water source types in the produced water of each production well, the method in the embodiments provided in this application can be used to guide the development, well selection and deployment of different reservoirs, thereby improving the thermal recovery effect of heavy oil reservoirs.

[0063] It is understood that the actual impact factor in the embodiments provided in this application is used to characterize the hydrochemical characteristics of the actual impact water source detected in the produced water of each deployed production well during the heavy oil reservoir process; the actual characteristic value is used to characterize the actual content corresponding to the actual impact factor.

[0064] In this application, it is assumed that the types of actual impact factors and target impact factors in the embodiments provided are consistent, including but not limited to: Na + K + Ca 2+ Mg 2+ CI - HCO 3- SO4 2-Density (20℃), total mineralization, and pH, etc.

[0065] Compared with the prior art, the method for determining heavy oil reservoir exploitation in the embodiments of this application determines at least one candidate influence factor of the reservoir produced water under various water source types and the characteristic value corresponding to each candidate influence factor based on at least one type of water source type corresponding to the reservoir produced water and a preset water layer influence factor. The characteristic value is then filtered according to a preset characteristic threshold to determine at least one target influence factor of the reservoir produced water under different water source types and the target characteristic value corresponding to each target influence factor. Then, for any water source type, the total characteristic value corresponding to all target influence factors under the water source type is determined through a preset influence factor analysis algorithm and the target characteristic values ​​under the water source type. Based on the total characteristic value under each water source type and the actual characteristic value of the actual influence factor corresponding to each production well in the reservoir, the proportion of different water source types in the produced water of each production well is determined, thus completing the exploitation of the reservoir. This application can determine the water source type and characteristic value of the reservoir produced water and the proportion of different water source types in the produced water, thereby enabling the deployment of production wells and improving the exploitation efficiency of each production well.

[0066] In one embodiment, the water source type includes injected water source and formation water source, and step S101 includes the following sub-steps:

[0067] Sub-step 1011: Based on the preset water layer influence factor, determine at least one candidate injection water influence factor and the first characteristic value corresponding to each candidate injection water influence factor from the injection water source corresponding to the reservoir produced water.

[0068] In this step, when the water source type corresponding to the reservoir produced water is the injection water source, at least one candidate injection water influence factor corresponding to the preset water layer influence factor in the reservoir produced water of the injection water source is determined, as well as the first characteristic value corresponding to the candidate injection water influence factor.

[0069] Sub-step 1012: Based on the preset water layer influence factor, determine at least one candidate formation water influence factor and the second characteristic value corresponding to each candidate formation water influence factor from the formation water source corresponding to the oil reservoir produced water.

[0070] In this step, when the water source type corresponding to the reservoir produced water is formation water source, at least one candidate injection water influence factor corresponding to the preset water layer influence factor in the reservoir produced water from the formation water source is determined, as well as the second characteristic value corresponding to the candidate injection water influence factor.

[0071] In this embodiment, it is assumed that the candidate injected water influence factors for formation water sources and the candidate injected water influence factors for injected water sources are of the same type, but the first characteristic value and the second characteristic value are different, as shown in Table 1. Table 1 shows the first characteristic value and the second characteristic value of the candidate injected water influence factors under different water source types, where the injected water source is represented by 1 and the formation water source is represented by 2.

[0072]

[0073] Table 1

[0074] In one embodiment, step S102 specifically includes: determining the candidate injected water influence factor corresponding to the first feature value that is greater than the preset feature threshold as the target influence factor of reservoir produced water under the injected water source, and determining the first target feature value corresponding to the target influence factor; and determining the candidate formation water influence factor corresponding to the second feature value that is greater than the preset feature threshold as the target influence factor of reservoir produced water under the formation water source, and determining the second target feature value corresponding to the target influence factor.

[0075] In the above, it is assumed that the target influence factors of reservoir produced water under the source of injected water and the target influence factors of reservoir produced water under the source of formation water in the embodiments provided in this application are of the same type, but the first characteristic value of reservoir produced water under the source of injected water and the second target characteristic value of reservoir produced water under the source of formation water are different.

[0076] Here, assuming the preset feature threshold is set to 1, when the feature value is ≥1, the corresponding feature value is determined as the target feature value, and each target influence factor (9 in total: Na) is determined. + K + Ca 2+ Mg 2+ CI - HCO 3- SO4 2- The sample variances of the target feature values ​​(density (20℃), total mineralization, and pH) are shown in Table 2.

[0077]

[0078] Table 2

[0079] In one embodiment, the total feature value includes a first total feature value and a second total feature value. Step S103 specifically includes: for the source of injected water, determining the first total feature value corresponding to all target influence factors under the source of injected water based on the preset factor calculation formula in the preset influence factor analysis algorithm and the first target feature value; and for the source of formation water, determining the second total feature value corresponding to all target influence factors under the source of formation water based on the preset factor calculation formula in the preset influence factor analysis algorithm and the second target feature value.

[0080] In the above, due to the target influence factor Na + K + Ca 2+ Mg 2+ CI - HCO 3- SO4 2- Na exhibits significant loadings on density (20℃), total mineralization, and pH. Therefore, based on the component score coefficient matrix obtained from factor analysis using SPSS software, the preset factor calculation formula in the preset influence factor analysis algorithm is derived. + K + Ca 2+ Mg 2+ CI - HCO 3- SO4 2- The first target characteristic values ​​corresponding to density (20℃), total mineralization, and pH are set as x1, x2, x3, x4, x5, x6, x7, x8, and x9, respectively. Then, the first total characteristic value determined based on the preset factor calculation formula is: F1 = 0.152x1 + 0.058x2 + 0.149x3 + 0.138x4 + 0.114x6 + 0.002x7 + 0.178x5 + 0.154x8 + 0.18x9;

[0081] In the above, the second target feature value is set as x1. / x2 / x3 / x4 / x5 / x6 / x7 / x8 / and x9 / Therefore, the first total eigenvalue determined based on the preset factor calculation formula is specifically: F1 / =0.152x1 / +0.058x2 / +0.149x3 / +0.138x4 / +0.114x6 / +0.002x7 / +0.178x5 / +0.154x8 / +0.18x9 / ;

[0082] Here, see Table 3, which shows the component matrix and component score coefficient matrix in the embodiments provided in this application:

[0083]

[0084] Table 3

[0085] In one embodiment, step S104 specifically includes the following sub-steps:

[0086] Sub-step 1041: Based on the actual characteristic values ​​of the actual influencing factors corresponding to each production well in the reservoir, determine the actual total characteristic value corresponding to the produced water of each production well.

[0087] In this step, based on the actual characteristic values ​​of the actual influencing factors corresponding to each production well in the reservoir and the preset factor calculation formula, the actual total characteristic value F corresponding to the produced water of each production well is determined. Among them, the actual total characteristic value F corresponding to the produced water of some production wells is shown in Table 4:

[0088] Production well number date F 414 2015 / 8 / 5 255.831 414 2016 / 3 / 10 1119.34 435 2015 / 8 / 5 715.393 436 2015 / 8 / 5 1070.64 437 2015 / 8 / 5 675.91 456 2015 / 8 / 5 1438.17 457 2015 / 6 / 23 391.506 457 2015 / 8 / 5 1018.46 457 2016 / 4 / 2 1499.58 459 2016 / 4 / 2 1525.77 H453 2016 / 4 / 23 516.522

[0089] Table 4

[0090] Sub-step 1042: Based on the actual total characteristic value, the first total characteristic value, and the second total characteristic value, determine the proportion of groundwater source type of produced water from each production well.

[0091] In this step, it is assumed that the first total characteristic value F1 corresponding to the injected water source in the embodiments provided in this application is specifically 589.758, and the second total characteristic value F1 corresponding to the formation water source is... / Specifically, in August 2009, based on the actual total characteristic value, the first total characteristic value, and the second total characteristic value, a system of equations was established to determine the proportion of groundwater source types in the produced water of each production well.

[0092] Here, assuming that the proportion of water from the produced water source in each production well is X, and the proportion from the formation water source is Y, the specific equation system is determined as follows:

[0093] 589.7584X + 2009.805Y = F;

[0094] X+Y=1;

[0095] At this point, the F-values ​​of production wells after May 28, 2015, are substituted to determine the proportion of groundwater source types in the produced water of each production well, as shown in Table 5:

[0096] Production well number date F X Y 414 2015 / 8 / 5 255.831 0.63 0.37 435 2015 / 8 / 5 715.393 0.91 0.09 436 2015 / 8 / 5 1070.64 0.66 0.34 437 2015 / 8 / 5 675.91 0.94 0.06 456 2015 / 8 / 5 1438.17 0.40 0.60 457 2015 / 8 / 5 1018.46 0.70 0.30 457 2016 / 4 / 2 1499.58 0.36 0.64 459 2016 / 4 / 2 1525.77 0.34 0.66

[0097] Table 5

[0098] Please see Figure 2 , Figure 2 This illustration shows a production water source ratio diagram for a specific production well in a method for determining heavy oil reservoir exploitation provided in an embodiment of this application. Figure 2 As shown, Figure 2 Specifically, this is a diagram showing the proportion of produced water sources for well number 436 (5012 / 8 / 5).

[0099] Please see Figure 3 and Figure 4 , Figure 3 This illustration shows a well location map illustrating the water production ratio of vertical wells in a method for determining heavy oil reservoir development provided in an embodiment of this application. Figure 4 This paper illustrates a well location map showing the water production ratio of horizontal wells in a method for determining heavy oil reservoir exploitation provided in an embodiment of this application.

[0100] The method for determining heavy oil reservoir exploitation in the embodiments provided in this application, compared with the prior art, is based on at least one type of water source corresponding to the reservoir produced water and a preset water layer influence factor. It determines at least one candidate influence factor for the reservoir produced water under each type of water source and the characteristic value corresponding to each candidate influence factor. Then, it filters each characteristic value according to a preset characteristic threshold to determine at least one target influence factor for the reservoir produced water under different water source types and the target characteristic value corresponding to each target influence factor. Finally, for any water source type, it determines all target influence factors under that water source type using a preset influence factor analysis algorithm and the target characteristic values ​​for each water source type. The total characteristic value corresponding to the factor, and based on the total characteristic value under each water source type and the actual characteristic value of the actual influencing factor corresponding to each production well in the reservoir, determine the proportion of different water source types in the produced water of each production well, and complete the exploitation of the reservoir. This application can determine the water source type and characteristic value of the produced water in the reservoir, and determine the proportion of different water source types in the produced water, thereby realizing the deployment of production wells and improving the exploitation efficiency of each production well. Moreover, the embodiments provided by this application can determine the proportion of different water source types in the produced water of each production well. Therefore, the method in the embodiments provided by this application can be used to guide the development, well selection and deployment of different reservoirs, thereby improving the thermal recovery effect of heavy oil reservoirs.

[0101] Please see Figure 5 , Figure 5A structural block diagram of a heavy oil reservoir determination device provided in this application embodiment is shown below. Figure 5 As shown, the apparatus 500 for determining the exploitation of heavy oil reservoirs includes:

[0102] The first determining module 510 is used to determine at least one candidate influence factor of reservoir produced water under various water source types and the characteristic value corresponding to each candidate influence factor, based on at least one type of water source corresponding to reservoir produced water and a preset water layer influence factor.

[0103] The second determining module 520 is used to filter each feature value according to a preset feature threshold, and determine at least one target influence factor of reservoir produced water under different water source types and the target feature value corresponding to each target influence factor.

[0104] The third determining module 530 is used to determine the total characteristic value corresponding to all target influence factors under any water source type, based on a preset influence factor analysis algorithm and the target characteristic values ​​under each water source type.

[0105] The fourth determination module 540 is used to determine the proportion of different water source types in the produced water of each production well based on the total characteristic value of each water source type and the actual characteristic value of the actual influencing factor corresponding to each production well in the reservoir, so as to realize the deployment of production wells and complete the exploitation of the reservoir.

[0106] In one embodiment, the water source type includes injected water source and formation water source, and the first determining module 510 is specifically used for:

[0107] Based on the preset water layer influence factor, at least one candidate injection water influence factor and the first characteristic value corresponding to each candidate injection water influence factor are determined from the injection water source corresponding to the reservoir produced water.

[0108] Based on the preset water layer influence factor, at least one candidate formation water influence factor and the second characteristic value corresponding to each candidate formation water influence factor are determined from the formation water source corresponding to the oil reservoir produced water.

[0109] In one embodiment, the second determining module 520 is specifically used for:

[0110] Candidate injection water influence factors corresponding to first feature values ​​greater than a preset feature threshold are determined as target influence factors for reservoir produced water under injection water source conditions, and the first target feature value corresponding to the target influence factor is determined. Similarly, candidate formation water influence factors corresponding to second feature values ​​greater than a preset feature threshold are determined as target influence factors for reservoir produced water under formation water source conditions, and the second target feature value corresponding to the target influence factor is determined.

[0111] In one embodiment, the total feature value includes a first total feature value, and the third determining module 530 is specifically used for:

[0112] For the source of injected water, based on the preset factor calculation formula and the first target feature value in the preset impact factor analysis algorithm, the first total feature value corresponding to all target impact factors under the source of injected water is determined.

[0113] In one embodiment, the total feature value includes a second total feature value, and the third determining module 530 is further specifically used for:

[0114] For the formation water source, based on the preset factor calculation formula and the second target feature value in the preset influence factor analysis algorithm, the second total feature value corresponding to all target influence factors under the formation water source is determined.

[0115] In one embodiment, the fourth determining module 540 is specifically used for:

[0116] Based on the actual characteristic values ​​of the actual influencing factors corresponding to each production well in the reservoir, the actual total characteristic value of the produced water corresponding to each production well is determined.

[0117] Based on the actual total characteristic value, the first total characteristic value, and the second total characteristic value, the proportion of groundwater source type of produced water from each production well is determined.

[0118] In one embodiment, based on the actual characteristic values ​​of the actual influencing factors corresponding to each production well in the reservoir, the actual total characteristic value corresponding to the produced water of each production well is determined, including:

[0119] Based on the actual characteristic values ​​of the actual influencing factors corresponding to each production well in the reservoir and the preset factor calculation formula, the actual total characteristic value corresponding to the produced water of each production well is determined.

[0120] The heavy oil reservoir exploitation determination device 500 provided in this application, compared with the prior art, determines at least one candidate influence factor of the reservoir produced water under various water source types and the characteristic value corresponding to each candidate influence factor based on at least one type of water source type corresponding to the reservoir produced water and a preset water layer influence factor. It then filters each characteristic value according to a preset characteristic threshold to determine at least one target influence factor of the reservoir produced water under different water source types and the target characteristic value corresponding to each target influence factor. Finally, for any water source type, it determines all target influence factors under that water source type using a preset influence factor analysis algorithm and the target characteristic values ​​of each water source type. The total characteristic value corresponding to the influencing factors, and based on the total characteristic value under each water source type and the actual characteristic value of the actual influencing factors corresponding to each production well in the reservoir, determine the proportion of different water source types in the produced water of each production well, and complete the exploitation of the reservoir. This application can determine the water source type and characteristic value of the produced water in the reservoir, and determine the proportion of different water source types in the produced water, thereby realizing the deployment of production wells and improving the exploitation efficiency of each production well. Moreover, the embodiments provided in this application can determine the proportion of different water source types in the produced water of each production well. Therefore, the method in the embodiments provided in this application can be used to guide the development, well selection and deployment of different reservoirs, thereby improving the thermal recovery effect of heavy oil reservoirs.

[0121] Please see Figure 6 , Figure 6 This application provides a schematic diagram of the structure of an electronic device according to an embodiment of the present application. Figure 6 As shown, the electronic device 600 includes a processor 610, a memory 620, and a bus 630.

[0122] Memory 620 stores machine-readable instructions executable by processor 610. When electronic device 600 is running, processor 610 and memory 620 communicate via bus 630. When the machine-readable instructions are executed by processor 610, they can perform the operations described above. Figure 1 The steps of the method for determining the exploitation of heavy oil reservoirs in the illustrated method embodiment can be found in the method embodiment for specific implementation, and will not be repeated here.

[0123] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, can perform the above-described actions. Figure 1 The steps of the method for determining the exploitation of heavy oil reservoirs in the illustrated method embodiment can be found in the method embodiment for specific implementation, and will not be repeated here.

[0124] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0125] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0126] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-readable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-readable program code.

[0127] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0128] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0129] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0130] This application also provides a computer program product, which includes computer software instructions that, when executed on a processing device, cause the processing device to execute a process for determining a method for heavy oil reservoir exploitation.

[0131] A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a server or data center that integrates one or more available media. The available media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state drives (SSDs)).

[0132] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0133] In the several embodiments provided in this application, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between devices or units, and may be electrical, mechanical, or other forms.

[0134] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0135] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0136] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0137] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

[0138] Although preferred embodiments have been described in this specification, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this specification.

[0139] Obviously, those skilled in the art can make various modifications and variations to this specification without departing from its spirit and scope. Therefore, if such modifications and variations fall within the scope of the claims and their equivalents, this specification is also intended to include such modifications and variations.

Claims

1. A method for determining the exploitation of heavy oil reservoirs, characterized in that, The method for determining the exploitation of heavy oil reservoirs includes: Based on at least one type of water source corresponding to reservoir produced water and a preset water layer influence factor, determine at least one candidate influence factor for the reservoir produced water under each type of water source and the characteristic value corresponding to each candidate influence factor; Each of the aforementioned feature values ​​is filtered according to a preset feature threshold to determine at least one target influencing factor of the reservoir produced water under different water source types and the target feature value corresponding to each of the aforementioned target influencing factors; For any of the water source types, based on a preset impact factor analysis algorithm and each of the target feature values ​​under the water source type, the total feature value corresponding to all the target impact factors under the water source type is determined; Based on the total characteristic value of each water source type and the actual characteristic value of the actual influencing factor corresponding to each production well in the reservoir, the proportion of different water source types in the produced water of each production well is determined so as to realize the deployment of the production wells and complete the exploitation of the reservoir.

2. The method for determining heavy oil reservoir exploitation according to claim 1, characterized in that, The water source types include injected water sources and formation water sources. The determination of at least one candidate influence factor for the produced water under each of the aforementioned water source types, and the characteristic values ​​corresponding to each candidate influence factor, based on at least one water source type corresponding to the produced water and a preset water layer influence factor, includes: Based on the preset water layer influence factor, at least one candidate injection water influence factor and a first characteristic value corresponding to each candidate injection water influence factor are determined from the injection water source corresponding to the reservoir produced water. Based on the preset water layer influence factor, at least one candidate formation water influence factor and a second characteristic value corresponding to each candidate formation water influence factor are determined from the formation water sources corresponding to the oil reservoir produced water.

3. The method for determining heavy oil reservoir exploitation according to claim 2, characterized in that, The step of filtering each of the feature values ​​according to a preset feature threshold to determine at least one target influencing factor of the reservoir produced water under different water source types and the target feature values ​​corresponding to each target influencing factor includes: The candidate injected water influence factors corresponding to the first feature value greater than the preset feature threshold are determined as the target influence factors of reservoir produced water under the injected water source, and the first target feature value corresponding to the target influence factor is determined; and, The candidate formation water influence factor corresponding to the second feature value that is greater than the preset feature threshold is determined as the target influence factor of reservoir produced water under the formation water source, and the second target feature value corresponding to the target influence factor is determined.

4. The method for determining heavy oil reservoir exploitation according to claim 3, characterized in that, The total characteristic value includes a first total characteristic value. The step of determining the total characteristic value corresponding to all target impact factors under any given water source type, based on a preset impact factor analysis algorithm and each of the target characteristic values ​​under that water source type, includes: For the source of injected water, based on the preset factor calculation formula and the first target feature value in the preset impact factor analysis algorithm, the first total feature value corresponding to all target impact factors under the source of injected water is determined.

5. The method for determining heavy oil reservoir exploitation according to claim 4, characterized in that, The total characteristic value includes a second total characteristic value. The step of determining the total characteristic value corresponding to all target impact factors under any given water source type, based on a preset impact factor analysis algorithm and each of the target characteristic values ​​under that water source type, includes: For the formation water source, based on the preset factor calculation formula and the second target feature value in the preset influence factor analysis algorithm, the second total feature value corresponding to all target influence factors under the formation water source is determined.

6. The method for determining heavy oil reservoir exploitation according to claim 5, characterized in that, The determination of the proportion of different water source types in the produced water of each production well, based on the total characteristic value of each water source type and the actual characteristic value of the actual influencing factor corresponding to each production well in the reservoir, includes: Based on the actual characteristic values ​​of the actual influencing factors corresponding to each production well in the reservoir, the actual total characteristic value of the produced water corresponding to each production well is determined. Based on the actual total characteristic value, the first total characteristic value, and the second total characteristic value, the proportion of groundwater source type of produced water from each production well is determined.

7. The method for determining heavy oil reservoir exploitation according to claim 6, characterized in that, The determination of the actual total characteristic value of the produced water of each production well based on the actual characteristic values ​​of the actual influencing factors corresponding to each production well in the reservoir includes: Based on the actual characteristic values ​​of the actual influencing factors corresponding to each production well in the reservoir and the preset factor calculation formula, the actual total characteristic value corresponding to the produced water of each production well is determined.

8. A device for determining the exploitation of heavy oil reservoirs, characterized in that, The apparatus for determining the exploitation of heavy oil reservoirs includes: The first determining module is used to determine at least one candidate influence factor of the reservoir produced water under each of the water source types and the characteristic value corresponding to each candidate influence factor, based on at least one type of water source corresponding to the reservoir produced water and a preset water layer influence factor. The second determining module is used to filter each of the feature values ​​according to a preset feature threshold, and determine at least one target influence factor of the reservoir produced water under different water source types and the target feature value corresponding to each of the target influence factors. The third determining module is used to determine the total characteristic value corresponding to all the target influence factors under any of the water source types, based on a preset influence factor analysis algorithm and each of the target characteristic values ​​under the water source type; The fourth determining module is used to determine the proportion of different water source types in the produced water of each production well based on the total characteristic value of each water source type and the actual characteristic value of the actual influencing factor corresponding to each production well in the reservoir, so as to realize the deployment of the production wells and complete the exploitation of the reservoir.

9. An electronic device, characterized in that, include: The device includes a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus, and the machine-readable instructions are executed by the processor to perform the steps of the method for determining heavy oil reservoir exploitation as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of the method for determining heavy oil reservoir exploitation as described in any one of claims 1-7.

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