Strong heterogeneity oil reservoir injection-flooding seepage dominant channel identification and prediction method and device

Abstract

The invention relates to the technical field of oil and gas development, and provides a strong heterogeneity oil reservoir injection-flooding seepage dominant channel identification and prediction method and device. The method comprises the following steps: acquiring an injected water sample and a produced water sample corresponding to a target well; determining ion composition corresponding to the injected water sample and the produced water sample; calculating the mineralization degree of the injected water sample and the mineralization degree of the produced water sample by utilizing a preset classification standard according to the ion composition; and analyzing an association relationship between the mineralization degree of the injected water sample and the mineralization degree of the produced water sample at different sampling times, so as to obtain a corresponding seepage dominant channel according to the association relationship. According to the embodiment of the invention, the stability, the accuracy and the cost of identification and prediction of the injection-flooding seepage dominant channel of the highly heterogeneous oil reservoir can be considered.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas development, and in particular to a method and device for identifying and predicting dominant flow channels in injection and flooding of highly heterogeneous reservoirs. Background Art

[0002] The types of oil fields are complex and diverse. Most of the reservoirs are continental deposits. The natural energy of the reservoirs is weak, and the recovery rate of depletion development is low. Therefore, most of the reservoirs adopt the injection and drive development method to supplement the formation energy by injecting different media to achieve the effect of improving the recovery rate. However, due to the strong heterogeneity of continental sedimentary reservoirs, most of the injection and drive media are ineffectively circulated along the dominant seepage channels, which not only causes great economic losses, but also reduces the utilization of oil and gas data in the low permeability layer, which seriously restricts the efficient development of oil fields.

[0003] Existing methods for identifying and predicting the dominant flow channels include the injection-production dynamic method, interference well test method, gas chromatography, tracer detection, mathematical comparison method, etc. However, each of these methods has some problems, and it is difficult to balance stability, identification and prediction accuracy, and cost. The injection-production dynamic method has poor stability and is easily affected by other factors. The well test method will affect the normal production of the reservoir, the tracer detection cost is high, the chromatography method has a large workload, and the resistivity curve comparison method has a long identification time. Therefore, there is an urgent need for an identification and prediction method for the dominant flow channel of injection and flooding in strongly heterogeneous reservoirs, which can balance the stability, identification and prediction accuracy, and cost of the identification and prediction of the dominant flow channel of injection and flooding in strongly heterogeneous reservoirs. Summary of the invention

[0004] In view of the fact that the current methods for identifying and predicting the dominant seepage channel include the injection-production dynamic method, the interference well test method, the gas chromatography method, the tracer detection, the mathematical comparison method, etc., however, these identification and prediction methods each have some problems, and it is difficult to balance stability, identification and prediction accuracy and cost. The injection-production dynamic method has poor stability and is easily affected by other factors in terms of the accuracy of identification and prediction. The well test method will affect the normal production of the reservoir. The tracer detection cost is high, the chromatography method has a large workload, and the resistivity curve comparison method has a long identification and prediction time. This scheme is proposed to overcome the above problems or at least partially solve the above problems.

[0005] On the one hand, the purpose of some embodiments of this specification is to provide a method for identifying and predicting dominant flow channels in highly heterogeneous reservoirs, the method comprising:

[0006] Obtaining injected water samples and produced water samples corresponding to the target well;

[0007] Determining the ion composition corresponding to the injected water sample and the produced water sample;

[0008] According to the ion composition, the mineralization of the injected water sample and the mineralization of the produced water sample are calculated using a preset classification standard;

[0009] The correlation between the mineralization of the injected water sample and the mineralization of the produced water sample at different sampling times is analyzed to obtain the corresponding dominant seepage channel according to the correlation.

[0010] Furthermore, the preset classification standard is the Sulin classification standard.

[0011] Further, according to the ion composition, the mineralization of the injected water sample and the mineralization of the produced water sample are calculated using a preset classification standard, including:

[0012] Cations and anions corresponding to the Sulin classification standard are selected from the ion composition, and the mineralization of the injected water sample and the mineralization of the produced water sample are calculated based on the selected results.

[0013] Furthermore, the correlation between the mineralization of the injected water sample and the mineralization of the produced water sample at different sampling times is analyzed to obtain the corresponding dominant seepage channel according to the correlation, including:

[0014] Calculate the ratio between the mineralization of the injected water sample and the mineralization of the produced water sample at different sampling times;

[0015] Determine whether the ratios at different sampling times exceed a preset threshold;

[0016] If the preset threshold is not exceeded, the injection medium does not flow along the dominant seepage channel;

[0017] If it exceeds the preset threshold, the injection medium will flow along the dominant seepage channel, and the target well will be tested for the production profile according to the occurrence of crossflow to obtain the corresponding dominant seepage channel.

[0018] Furthermore, if the preset threshold is exceeded, the injection medium flows along the dominant seepage channel, and according to the occurrence of the crossflow, the target well is tested for the production profile, and after the corresponding dominant seepage channel is obtained, the method further includes:

[0019] The dominant seepage channel is blocked to ensure normal production of the target well.

[0020] Further, the historical mineralization of the injection water samples of the predicted well and the target well at different sampling times and the historical mineralization of the produced water samples are obtained; wherein the predicted well and the target well are produced under the drive of the same injection well;

[0021] Calculate the historical ratios corresponding to the historical mineralization of the injected water samples and the historical mineralization of the produced water samples at different sampling times;

[0022] A fitting model is established by using the historical ratio, and a predicted time of the appearance of a dominant seepage channel in the well to be predicted is obtained according to the fitting model;

[0023] Verifying the predicted time according to the historical ratio, the crossflow occurrence of the target well, and the production correlation between the target well and the well to be predicted;

[0024] If the verification fails, the parameters of the fitting model are adjusted until the prediction time is verified and a prediction time that meets the verification conditions is obtained.

[0025] On the other hand, some embodiments of the present specification also provide a device for identifying and predicting dominant flow channels in highly heterogeneous reservoirs, the device comprising:

[0026] A receiving module, used to obtain injected water samples and produced water samples corresponding to the target well;

[0027] A determination module, used to determine the ion composition corresponding to the injected water sample and the produced water sample;

[0028] A calculation module, used to calculate the mineralization of the injected water sample and the mineralization of the produced water sample according to the ion composition using a preset classification standard;

[0029] The analysis module is used to analyze the correlation between the mineralization of the injected water sample and the mineralization of the produced water sample at different sampling times, so as to obtain the corresponding dominant seepage channel according to the correlation.

[0030] On the other hand, some embodiments of the present specification further provide a computer device, including a memory, a processor, and a computer program stored in the memory, wherein when the computer program is executed by the processor, the instructions of the above method are executed.

[0031] On the other hand, some embodiments of the present specification further provide a computer storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor of a computer device, the instructions of the above method are executed.

[0032] On the other hand, some embodiments of the present specification further provide a computer program product, wherein the computer program product comprises a computer program, and when the computer program is executed by a processor of a computer device, the instructions of the above method are executed.

[0033] One or more technical solutions provided by some embodiments of this specification have at least the following technical effects:

[0034] The embodiments of the present specification first automatically obtain the injection water sample and the produced water sample corresponding to the target well, and determine the ion composition information of the injection water sample and the produced water sample. On the basis of the obtained ion composition, the preset classification standard is used to calculate the mineralization of the injection water sample and the mineralization of the produced water sample, so as to automatically analyze the correlation between the mineralization of the injection water sample and the mineralization of the produced water sample at different sampling times, so as to judge the dominant seepage channel of the injection and flooding of the strong heterogeneous oil reservoir according to the correlation relationship, and obtain the corresponding dominant seepage channel, thereby taking into account the stability, recognition prediction accuracy and cost of the identification and prediction of the dominant seepage channel of the injection and flooding of the strong heterogeneous oil reservoir.

[0035] The above description is only an overview of the technical solutions of some embodiments of this specification. In order to more clearly understand the technical means of some embodiments of this specification, they can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of some embodiments of this specification more obvious and easy to understand, the specific implementation methods of some embodiments of this specification are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate some embodiments of this specification or technical solutions in the prior art, the following briefly introduces the drawings required for the embodiments or prior art descriptions. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. In the drawings:

[0037] Figure 1 A schematic diagram of an implementation system of a method for identifying and predicting a dominant flow channel for flooding in a highly heterogeneous reservoir in some embodiments of this specification is shown;

[0038] Figure 2 A flowchart showing a method for identifying and predicting a dominant flow channel for flooding in a highly heterogeneous reservoir in some embodiments of this specification is shown;

[0039] Figure 3 This is a schematic diagram of the steps of analyzing and obtaining the percolation dominant channel in some embodiments of this specification;

[0040] Figure 4 This is a schematic diagram of the steps for predicting the well to be predicted in some embodiments of this specification;

[0041] Figure 5 This is a schematic diagram of the well pattern distribution corresponding to the highly heterogeneous oil reservoir in some embodiments of this specification;

[0042] Figure 6 A bar chart showing the salinity of produced water and injected water and the absolute sampling time in some embodiments of this specification;

[0043] Figure 7 A schematic diagram of the test results of the liquid production profile in some embodiments of this specification;

[0044] Figure 8 A scatter diagram of the salinity ratio of the produced water sample and the injected water sample and the relative sampling time in some embodiments of this specification;

[0045] Fig. 9 This is a schematic diagram of oil saturation distribution between P3 and P7 wells in 2020 in some embodiments of this specification;

[0046] Fig.10 This is a schematic diagram of the structure of a device for identifying and predicting a dominant flow channel for flooding in a highly heterogeneous reservoir in some embodiments of this specification;

[0047] Fig.11 This is a schematic diagram of the computer device structure provided in some embodiments of this specification.

[0048] [Description of Reference Numerals]

[0049] 101. Terminal;

[0050] 102. Server;

[0051] 1001, receiving module;

[0052] 1002. Determine a module;

[0053] 1003. Calculation module;

[0054] 1004. Analysis module;

[0055] 1102. Computer equipment;

[0056] 1104. Processor;

[0057] 1106. Memory;

[0058] 1108. Driving mechanism;

[0059] 1110, input / output interface;

[0060] 1112. Input device;

[0061] 1114. Output device;

[0062] 1116. Presentation equipment;

[0063] 1118. Graphical user interface;

[0064] 1120. Network interface;

[0065] 1122. Communication link;

[0066] 1124. Communication bus. DETAILED DESCRIPTION

[0067] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in some embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on some embodiments in this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0068] It should be noted that the terms "first", "second", etc. in the specification and claims of this article and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of this article described here can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, device, product or equipment that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or equipment.

[0069] It should be noted that the acquisition, storage, use, and processing of data in the technical solution of this application are in compliance with the relevant provisions of relevant laws and regulations.

[0070] It should be noted that in the embodiments of this specification, certain software, components, models and other existing solutions in the industry may be mentioned, which should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of this application, but it does not mean that the applicant has or will necessarily use the solution.

[0071] like Figure 1The schematic diagram of the implementation system of the method for identifying and predicting the dominant channel of flooding seepage in a strong heterogeneous reservoir according to an embodiment of the present invention is shown, which may include: a terminal 101 and a server 102, wherein the terminal 101 and the server 102 communicate with each other through a network, and the network may include a local area network (LAN), a wide area network (WAN), the Internet or a combination thereof, and is connected to a website, a user device (such as a computing device) and a back-end system. The staff may send a request for identifying and predicting the dominant channel of flooding seepage in a strong heterogeneous reservoir to the server 102 through the terminal 101, and after receiving the request for identifying and predicting the dominant channel of flooding seepage in a strong heterogeneous reservoir, the server 102 calls the data in the database for calculation and processing, obtains the identification and prediction result, and sends the processing result to the terminal 101, so that the staff can process the business according to the processing result.

[0072] In the embodiments of this specification, the server 102 can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (CDN, Content Delivery Network), and big data and artificial intelligence platforms.

[0073] In an optional embodiment, the terminal 101 may include but is not limited to electronic devices such as self-service terminal devices, desktop computers, tablet computers, laptop computers, smart wearable devices, etc. Optionally, the operating system running on the electronic device may include but is not limited to Android system, IOS system, Linux, Windows, etc. Of course, the terminal 101 is not limited to the above-mentioned electronic devices with a certain entity, and it can also be software running in the above-mentioned electronic devices.

[0074] In addition, it should be noted that Figure 1 What is shown is only an application environment provided by the present disclosure. In actual application, multiple terminals 101 may be included, and this specification does not limit this.

[0075] Figure 2It is a flow chart of the method for identifying and predicting the dominant flow channels of injection and flooding in highly heterogeneous reservoirs provided by an embodiment of the present invention. This specification provides the method operation steps described in the embodiment or flow chart, but more or fewer operation steps may be included based on conventional or non-creative labor. The order of steps listed in the embodiment is only one way of executing the steps among many orders, and does not represent the only order of execution. When the system or device product is executed in practice, it can be executed in the order or in parallel according to the method shown in the embodiment or the accompanying drawings. Specifically, Figure 2 As shown, applied to the above-mentioned server side, the method may include:

[0076] S201: Obtaining injected water samples and produced water samples corresponding to the target well;

[0077] S202: Determine the ion composition corresponding to the injected water sample and the produced water sample;

[0078] S203: Calculating the mineralization of the injected water sample and the mineralization of the produced water sample according to the ion composition using a preset classification standard;

[0079] S204: Analyze the correlation between the mineralization of the injected water sample and the mineralization of the produced water sample at different sampling times, so as to obtain the corresponding dominant seepage channel according to the correlation.

[0080] The embodiments of the present specification first automatically obtain the injection water sample and the produced water sample corresponding to the target well, and determine the ion composition information of the injection water sample and the produced water sample. On the basis of the obtained ion composition, the preset classification standard is used to calculate the mineralization of the injection water sample and the mineralization of the produced water sample, so as to automatically analyze the correlation between the mineralization of the injection water sample and the mineralization of the produced water sample at different sampling times, so as to judge the dominant seepage channel of the injection and flooding of the strong heterogeneous oil reservoir according to the correlation relationship, and obtain the corresponding dominant seepage channel, thereby taking into account the stability, recognition prediction accuracy and cost of the identification and prediction of the dominant seepage channel of the injection and flooding of the strong heterogeneous oil reservoir.

[0081] It can be understood that in some embodiments, the reservoir can be developed by injection and flooding, and different media can be injected to supplement the formation energy, thereby achieving the effect of improving the recovery rate. However, due to the strong heterogeneity of continental sedimentary reservoirs, most of the injection and flooding media are ineffectively circulated along the dominant seepage channel, which not only causes great economic losses, but also reduces the utilization of oil and gas data in the low permeability layer, thereby seriously restricting the efficient development of the oil field.

[0082] Specifically, in some embodiments, in the field of identification and prediction of dominant seepage channels, the on-site emphasis is placed on the study of crude oil testing data, mainly through the relationship between produced oil and produced water (water content) to qualitatively judge the dominant channel, while ignoring the use of injection and production water data, and not conducting source tracing analysis on the produced water from production wells, that is, whether the produced water is mainly original formation water or water injected from injection wells during the development process.

[0083] In some embodiments, when obtaining the injection water sample and the produced water sample corresponding to the target well, the storage container needs to be rinsed at least 3 times with the water sample taken at the sampling point during sampling. At the same time, the water sample is filled to overflowing in the container and sealed during sampling to reduce interference caused by the reaction of oxygen and carbon dioxide in the air and vibration interference during sample transportation. Generally, during the sampling and storage process, 500ml to 1000ml of sample can meet the needs of most physical and chemical analyses, and sometimes more large samples or multiple samples are required. At the same time, before sampling, it is also necessary to stick a label written in waterproof ink on the sampler. The sample label contains at least sample information, sampler, sampling point, analysis requirements, sampling conditions, sampling date and sampling time, so as to ensure that the information of the injection water sample and the produced water sample corresponding to the target well is accurate and effective.

[0084] Further, in some embodiments, after obtaining the injected water sample and the produced water sample, it is necessary to determine the ion composition corresponding to the injected water sample and the produced water sample. Specifically, in some embodiments, Na + , K + , Ca 2+ Mg 2+ 、SO 4 2- , Cl - Ions can be determined by ion chromatography; the ion concentration can be determined by analyzing the peak height and peak area of ​​the ion in the ion chromatogram and the corresponding standard working curve. 3 2- , HCO 3 - Anions can be determined by potentiometric titration. This method uses a glass electrode as an indicator electrode, a calomel electrode as a reference electrode, and an acid standard solution for titration. The endpoint is determined by a potentiometric titrator. 100 ml of water sample is titrated with a hydrochloric acid standard solution. When the pH is titrated to 8.3, the first endpoint is reached. The consumption of the hydrochloric acid standard solution is recorded. The hydrochloric acid standard solution is continued to be titrated to pH 4.4-4.5. The second endpoint is reached. The consumption of the hydrochloric acid standard solution is recorded. A titration curve of pH value versus the amount of acid standard titrant is drawn during titration, and then the content of the corresponding component is calculated.

[0085] Furthermore, in some embodiments, for highly heterogeneous oil reservoirs, the preset classification standard is the Sulin classification standard. The Sulin classification method can link the chemical composition of groundwater with its natural environmental conditions, and use different water types to represent different geological environments. It is suitable for the identification and prediction of dominant seepage channels in highly heterogeneous oil reservoirs.

[0086] Furthermore, in some embodiments, the mineralization of the injected water sample and the mineralization of the produced water sample are calculated according to the ion composition using a preset classification standard, including:

[0087] Cations and anions corresponding to the Sulin classification standard are selected from the ion composition, and the mineralization of the injected water sample and the mineralization of the produced water sample are calculated based on the selected results.

[0088] It can be understood that, in some embodiments, the difference between the mineralization of the injected water sample and the mineralization of the produced water sample can be used to predict the dominant seepage channel, and the cations and anions based on the Surin classification standard can accurately reflect the characteristics of the sample, ensuring the accuracy of the calculated mineralization of the injected water sample and the mineralization of the produced water sample.

[0089] Refer to the attached Figure 3 In some embodiments, analyzing the correlation between the mineralization of the injected water sample and the mineralization of the produced water sample at different sampling times to obtain the corresponding dominant seepage channel according to the correlation may include:

[0090] S301: Calculating the ratio between the mineralization of the injected water sample and the mineralization of the produced water sample at different sampling times;

[0091] S302: Determine whether the ratios at different sampling times exceed a preset threshold;

[0092] S303: If the preset threshold is not exceeded, the injection medium does not flow along the dominant seepage channel;

[0093] S304: If the preset threshold is exceeded, the injection medium flows along the dominant seepage channel, and a fluid production profile test is performed on the target well according to the occurrence of the crossflow to obtain the corresponding dominant seepage channel.

[0094] It can be understood that in some embodiments, in typical embodiments, the sampling time can be in months to fully ensure the richness of the data. The unit of the sampling time is not specifically limited in this article. Then, the ratio between the salinity of the injected water sample and the salinity of the produced water sample at different sampling times is calculated. Whether the injection medium flows along the dominant seepage channel is determined based on whether the ratio exceeds a preset threshold. Specifically, the preset threshold is determined based on the geological characteristics of the highly heterogeneous reservoir. In some embodiments, the preset threshold The common value of is 0.85. If the difference between the mineralization of the injected water sample and the produced water sample is large, that is, the ratio of the mineralization is less than 0.85, it means that the injection medium has not flowed along the dominant seepage channel. If the difference between the mineralization of the injected water sample and the produced water sample is small, that is, the ratio of the mineralization is greater than 0.85, it means that the injection medium has flowed along the dominant seepage channel. At this time, it is necessary to conduct a production profile test on the target well according to the occurrence of crossflow to obtain the dominant seepage channel corresponding to the target well.

[0095] Furthermore, in some embodiments, if the preset threshold is exceeded, the injection medium flows along the dominant seepage channel, and according to the occurrence of the crossflow, the target well is tested for the production profile, and after the corresponding dominant seepage channel is obtained, the method further includes:

[0096] The dominant seepage channel is blocked to ensure normal production of the target well.

[0097] It can be understood that, in some embodiments, after the dominant seepage channel is identified, it needs to be blocked to prevent it from interfering with the normal production of the target well while ensuring production safety. Furthermore, in some embodiments, other seepage dominant channel identification methods can be used to re-evaluate the identified seepage dominant channel before blocking to ensure the accuracy of the identified seepage dominant channel and the effectiveness of the blocking operation.

[0098] Refer to the attached Figure 4 , in some embodiments, may further include:

[0099] S401: Obtain the historical mineralization of the injected water samples of the predicted well and the historical mineralization of the produced water samples at different sampling times;

[0100] Wherein, the well to be predicted and the target well are produced under the drive of the same injection well;

[0101] S402: Calculate the historical ratios corresponding to the historical mineralization of the injected water sample and the historical mineralization of the produced water sample at different sampling times;

[0102] S403: establishing a fitting model using the historical ratio, and obtaining a predicted time for the occurrence of a dominant seepage channel in the well to be predicted according to the fitting model;

[0103] S404: verifying the predicted time according to the historical ratio, the crossflow occurrence of the target well, and the production correlation between the target well and the well to be predicted;

[0104] S405: If the verification fails, the parameters of the fitting model are adjusted until the prediction time is verified and a prediction time that meets the verification conditions is obtained.

[0105] It can be understood that, in some embodiments, for a certain well, the historical mineralization of the injected water samples at different sampling times and the historical mineralization of the produced water samples can be used to predict whether the well will have a dominant seepage channel. Specifically, the well to be predicted and the target well are produced under the drive of the same injection well. Therefore, when making a prediction, the injected water sample obtained by sampling from the same injection well can be used.

[0106] Furthermore, in some embodiments, after obtaining the historical mineralization of the injected water samples of the predicted well and the historical mineralization of the produced water samples at different sampling times, the historical ratios corresponding to the historical mineralization of the injected water samples and the historical mineralization of the produced water samples at different sampling times can be calculated, so as to establish a fitting model based on the historical ratios, and predict the future ratios based on the fitting model to determine whether the future ratios exceed a preset threshold. If they do not exceed the preset threshold, the injection medium does not flow along the dominant seepage channel. If they exceed the preset threshold, it means that the injection medium flows along the dominant seepage channel. Based on the future time corresponding to the future ratio that exceeds the preset threshold, the predicted time for the appearance of the dominant seepage channel in the predicted well is obtained.

[0107] Furthermore, in some embodiments, after obtaining the predicted time for the appearance of a dominant seepage channel in the well to be predicted, in order to ensure the validity of the predicted time, the predicted time can be verified based on historical ratios, the occurrence of crossflow in the target well, and the production correlation between the target well and the well to be predicted. If the verification fails, the parameters of the fitting model are adjusted until the prediction time is verified and a prediction time that meets the verification conditions is obtained. This article does not limit the specific fitting algorithm of the fitting model.

[0108] Furthermore, in some embodiments, the occurrence of crossflow in the target well is obtained by monitoring the working conditions of the work area, and the production correlation between the target well and the well to be predicted is obtained by performing a correlation analysis on the target well and the well to be predicted. When verifying the prediction time, it is necessary to establish a verification model in advance. The verification model performs a regression analysis on the historical ratios, the occurrence of crossflow in the target well, and the production correlation and prediction time between the target well and the well to be predicted to determine the intrinsic correlation between the historical ratios, the occurrence of crossflow in the target well, and the production correlation and prediction time between the target well and the well to be predicted, so as to verify the prediction time and optimize the fitting model.

[0109] In order to facilitate the understanding of those skilled in the art, this specification gives a typical embodiment. The permeability variation coefficient of the highly heterogeneous reservoir is 0.77. Figure 5 The well network distribution diagram corresponding to the highly heterogeneous oil reservoir is shown, wherein the letter P represents the well, the number after P represents the sequence number of the well, P3 is the injection well, P7 is the production well to be predicted when crossflow will occur, and P12 is the production well where crossflow has occurred.

[0110] First, the corresponding injection water samples were obtained according to P3, and the corresponding produced water samples were obtained according to P7 and P12, respectively, with the sampling time being 2006-2022; then, the corresponding ion composition of the injection water samples and the produced water samples was determined; the mineralization of the injection water samples and the mineralization of the produced water samples were calculated based on the Sulin classification method. Specifically, there are many methods for the classification of formation water types, such as the Sulin classification method, the Brodsky classification method, the Shukarev classification method, etc. Among them, the Brodsky classification method is relatively cumbersome, and the exact content of the chemical components in the water cannot be understood by naming; the Shukarev classification method does not consider the primary and secondary relationship when there are more than two cations (or anions) with a molar percentage greater than 25%. The Sulin classification method links the chemical composition of groundwater with the natural environmental conditions in which it is located, and uses different water types to represent different geological environments. It is suitable for the identification and prediction of the dominant channels of injection and flooding in strongly heterogeneous reservoirs. For the produced water sample of P12 in 2006, the cation Na required by the Sulin classification method + , K + Mg 2+ and Ca 2+ , anion Cl - 、SO 4 2- , HCO 3 - and CO 3 2- The corresponding mineralization is calculated to be 24362.90 mg / L. The specific produced water samples are shown in Table 1.

[0111] Table 1 Results of water quality analysis of produced water from well P12 in 2006

[0112]

[0113] After obtaining the mineralization of the injected water sample and the produced water sample, it is necessary to analyze the mineralization of the injected water sample and the produced water sample. For the convenience of intuitive analysis, the absolute sampling time (2006-2016) can be used as the horizontal axis, and the mineralization of the produced water of the production well P12 and the injected water of the injection well P3 can be used as the vertical axis to draw a bar graph of the mineralization of the produced water sample and the injected water sample and the absolute sampling time, as shown in the figure. Figure 6 As shown, it can be seen that the mineralization of the injected water of injection well P3 and the produced water of production well P12 in 2009 is similar, with a ratio of 0.88, 0.88>0.85. It can be preliminarily judged that there is a dominant seepage channel between P3 and P12 wells; the production profile test of P12 well was carried out, and the test results are shown in Figure 7 As shown in the figure, the results show that the absolute liquid production of S2-Ⅰ layer is 81.9m 3 , the relative liquid production is 77.19%, and the S2-Ⅰ layer of P3 and P12 wells is the dominant seepage channel. This result is consistent with the result obtained by the method described in the embodiment of the present invention, proving the reliability of the method. In some embodiments, in order to ensure the normal production of the oil well, the S2-Ⅰ layer needs to be plugged.

[0114] Furthermore, in order to facilitate intuitive analysis and prediction of when crossflow may occur in P7, the relative sampling time corresponding to the absolute sampling time of 2006 is taken as 0 year, 2007 corresponds to 1 year, and so on to 2016 as 10 years, which are used as the horizontal axis; the mineralization ratio of the produced water of the production well P7 and the injected water of the injection well P3 is used as the vertical axis, and a scatter plot of the mineralization ratio of the produced water sample and the injected water sample and the relative sampling time is drawn, as shown in the figure below: Figure 8 As shown in the figure, before P12 plugging, there are three independent scattered points. After P12 plugging, the fitted dashed curve corresponding to the scattered points can be expressed as y = 0.801ln(x) + 3.11. Let y = 1, and the solution is x = 13.93, indicating that without changing the construction system, the well will have a dominant seepage channel within 4 years (i.e., 2020). At the same time, the prediction results are verified by combining numerical simulation technology, such as Fig. 9 As shown, the oil saturation of the S3-Ⅱ layer between the injection well P3 and the production well P7 in 2020 is 0.08, that is, the water saturation is 0.92, indicating that the injected water in 2020 flows from the injection well P3 to the production well P7 along the dominant seepage channel (S3-Ⅱ).

[0115] It should be noted that, although the operations of the method of the present invention are described in a specific order in the above embodiments and the accompanying drawings, this does not require or imply that the operations must be performed in the specific order, or that all the operations shown must be performed to achieve the desired results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps.

[0116] Corresponding to the above-mentioned method for identifying and predicting the dominant channel of flooding seepage in a strongly heterogeneous reservoir, some embodiments of this specification also provide a device for identifying and predicting the dominant channel of flooding seepage in a strongly heterogeneous reservoir, referring to Fig.10 As shown, in some embodiments, the apparatus may include:

[0117] Receiving module 1001, used to obtain injected water samples and produced water samples corresponding to the target well;

[0118] A determination module 1002 is used to determine the ion composition corresponding to the injected water sample and the produced water sample;

[0119] A calculation module 1003 is used to calculate the mineralization of the injected water sample and the mineralization of the produced water sample according to the ion composition using a preset classification standard;

[0120] The analysis module 1004 is used to analyze the correlation between the mineralization of the injected water sample and the mineralization of the produced water sample at different sampling times, so as to obtain the corresponding dominant seepage channel according to the correlation.

[0121] For the convenience of description, the above device is described in various units according to their functions. Of course, when implementing this specification, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0122] It should be noted that in the embodiments of this specification, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved are all information and data authorized by the user and fully authorized by all parties.

[0123] It should be noted that the computer program product described in this specification is a software product that mainly implements the method described in this specification through a computer program.

[0124] The embodiments of this specification also provide a computer device. Fig.11As shown, in some embodiments of the present specification, the computer device 1102 may include one or more processors 1104, such as one or more central processing units (CPUs) or graphics processing units (GPUs), and each processing unit may implement one or more hardware threads. The computer device 1102 may also include any memory 1106, which is used to store any kind of information such as code, settings, data, etc. In a specific embodiment, the computer program on the memory 1106 and can be run on the processor 1104, when the computer program is run by the processor 1104, the instructions of the method described in any of the above embodiments may be executed. Non-limitingly, for example, the memory 1106 may include any one or more combinations of the following: any type of RAM, any type of ROM, flash memory device, hard disk, optical disk, etc. More generally, any memory may use any technology to store information.

[0125] Further, any memory may provide volatile or non-volatile retention of information. Further, any memory may represent a fixed or removable component of the computer device 1102. In one case, when the processor 1104 executes the associated instructions stored in any memory or combination of memories, the computer device 1102 may perform any operation of the associated instructions. The computer device 1102 also includes one or more drive mechanisms 1108 for interacting with any memory, such as a hard disk drive mechanism, an optical disk drive mechanism, etc.

[0126] The computer device 1102 may also include an input / output interface 1110 (I / O) for receiving various inputs (via input devices 1112) and for providing various outputs (via output devices 1114). A specific output mechanism may include a presentation device 1116 and an associated graphical user interface 1118 (GUI). In other embodiments, the input / output interface 1110 (I / O), input device 1112, and output device 1114 may not be included, and the computer device 1102 may be used as a computer device in a network. The computer device 1102 may also include one or more network interfaces 1120 for exchanging data with other devices via one or more communication links 1122. One or more communication buses 1124 couple the components described above together.

[0127] The communication link 1122 may be implemented in any manner, for example, through a local area network, a wide area network (e.g., the Internet), a point-to-point connection, etc., or any combination thereof. The communication link 1122 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers, etc. governed by any protocol or combination of protocols.

[0128] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), computer-readable storage media, and computer program products of some embodiments of the present specification. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processor to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processor generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0129] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processor to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0130] These computer program instructions can also be loaded onto a computer or other programmable data processor so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for executing on the computer or other programmable device to implement the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0131] In a typical configuration, a computer device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0132] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0133] Computer-readable media include permanent and non-permanent, removable and non-removable media that can be used to store information by any method or technology. Information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computer device. As defined in this specification, computer-readable media does not include temporary computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0134] Those skilled in the art will appreciate that the embodiments of this specification may be provided as methods, systems or computer program products. Therefore, the embodiments of this specification may take the form of complete hardware embodiments, complete software embodiments or embodiments combining software and hardware. Moreover, the embodiments of this specification may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0135] The present specification embodiments may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present specification embodiments may also be practiced in distributed computing environments where tasks are performed by remote processors connected through a communication network. In a distributed computing environment, program modules may be located in local and remote computer storage media, including storage devices.

[0136] It should also be understood that in the embodiments of this specification, the term "and / or" is only a description of the association relationship of the associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0137] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0138] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the embodiments of this specification. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0139] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method for identifying and predicting the dominant flow channel of injection and flooding in highly heterogeneous reservoirs, characterized in that: The method comprises: Obtaining injected water samples and produced water samples corresponding to the target well; Determining the ion composition corresponding to the injected water sample and the produced water sample; According to the ion composition, the mineralization of the injected water sample and the mineralization of the produced water sample are calculated using a preset classification standard; The correlation between the mineralization of the injected water sample and the mineralization of the produced water sample at different sampling times is analyzed to obtain the corresponding dominant seepage channel according to the correlation.

2. The method according to claim 1, characterized in that: The preset classification standard is the Sulin classification standard.

3. The method according to claim 2, characterized in that According to the ion composition, the mineralization of the injected water sample and the mineralization of the produced water sample are calculated using a preset classification standard, including: Cations and anions corresponding to the Sulin classification standard are selected from the ion composition, and the mineralization of the injected water sample and the mineralization of the produced water sample are calculated based on the selected results.

4. The method according to claim 1, characterized in that: Analyze the correlation between the mineralization of the injected water sample and the mineralization of the produced water sample at different sampling times, so as to obtain the corresponding dominant seepage channel according to the correlation, including: Calculate the ratio between the mineralization of the injected water sample and the mineralization of the produced water sample at different sampling times; Determine whether the ratios at different sampling times exceed a preset threshold; If the preset threshold is not exceeded, the injection medium does not flow along the dominant seepage channel; If it exceeds the preset threshold, the injection medium will flow along the dominant seepage channel, and the target well will be tested for the production profile according to the occurrence of crossflow to obtain the corresponding dominant seepage channel.

5. The method according to claim 4, characterized in that If the preset threshold is exceeded, the injection medium will flow along the dominant seepage channel, and the target well will be tested for the production profile according to the occurrence of the crossflow. After the corresponding dominant seepage channel is obtained, the following steps are further performed: The dominant seepage channel is blocked to ensure normal production of the target well.

6. The method according to claim 4, characterized in that Further including: Obtaining the historical mineralization of the injection water samples of the predicted well and the historical mineralization of the produced water samples at different sampling times; wherein the predicted well and the target well are produced under the drive of the same injection well; Calculate the historical ratios corresponding to the historical mineralization of the injected water samples and the historical mineralization of the produced water samples at different sampling times; A fitting model is established by using the historical ratio, and a predicted time of the appearance of a dominant seepage channel in the well to be predicted is obtained according to the fitting model; Verifying the predicted time according to the historical ratio, the crossflow occurrence of the target well, and the production correlation between the target well and the well to be predicted; If the verification fails, the parameters of the fitting model are adjusted until the prediction time is verified and a prediction time that meets the verification conditions is obtained.

7. A device for identifying and predicting the dominant flow channel of injection and flooding in highly heterogeneous reservoirs, characterized in that: The device comprises: A receiving module, used to obtain injected water samples and produced water samples corresponding to the target well; A determination module, used to determine the ion composition corresponding to the injected water sample and the produced water sample; A calculation module, used to calculate the mineralization of the injected water sample and the mineralization of the produced water sample according to the ion composition using a preset classification standard; The analysis module is used to analyze the correlation between the mineralization of the injected water sample and the mineralization of the produced water sample at different sampling times, so as to obtain the corresponding dominant seepage channel according to the correlation.

8. A computer device comprising a memory, a processor, and a computer program stored in the memory, characterized in that: When the computer program is executed by the processor, the computer program executes the instructions of the method according to any one of claims 1 to 6.

9. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor of a computer device, the computer program executes instructions of the method according to any one of claims 1 to 6.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the computer program executes instructions of the method according to any one of claims 1 to 6.

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