A method and system for distinguishing reservoir fluid types based on fusion of multi-source information

Abstract

The present application discloses a method and system for distinguishing reservoir fluid types based on the fusion of multi-source information. The method includes: obtaining reservoir fluid data of a target well and reservoir fluid data of an adjacent well, and analyzing the reservoir fluid data of the adjacent well to determine the reservoir fluid type of the adjacent well; obtaining logging data of the target well and deep resistivity data of the target well; determining the methane oil content indicator parameters and resistivity indicator parameters of the target well according to the logging data of the target well and the deep resistivity data of the target well; combining the methane oil content indicator parameters of the target well, the resistivity indicator parameters of the target well and the reservoir fluid type of the adjacent well, constructing a dual-parameter intersection diagram to perform reservoir fluid type discrimination processing, and obtaining reservoir fluid type data of the target well. The embodiment of the present application can fuse multi-source information data of logging gas measurement, drilling engineering and logging resistivity, thereby improving the accuracy of reservoir fluid discrimination of the target well. The present application can be widely used in the field of reservoir fluid discrimination technology.

Description

Technical Field

[0001] The present application relates to the technical field of reservoir fluid identification, and in particular to a method and system for identifying reservoir fluid types based on fusion of multi-source information. Background Art

[0002] Identification of reservoir fluid properties is one of the most important tasks in offshore oil and gas drilling activities. The purpose of drilling is to discover oil and gas layers. To this end, oilfield technicians are required to accurately identify the reservoir fluid type, divide the oil layer, oil-water layer, and water layer, and provide a basis for the calculation of oil and gas reservoir reserves and the formulation of development plans. At present, the methods for determining the properties of reservoir fluids include cable formation pump sampling method, that is, the pressure sampling instrument is lowered to the target layer through the cable, and the formation fluid is pumped in situ by the probe to determine the fluid properties; drill pipe formation testing method, by perforating the target layer to establish the reservoir seepage channel, obtain the target layer reservoir production data, and sample to confirm the fluid properties; logging data experience plate method, based on regional reservoir logging and production data, make the difference characteristics between the logging responses of reservoirs with different fluid properties, and establish a single-source logging information experience plate; gas logging data method, according to the size of the gas logging response parameters, qualitatively analyze the oil and gas display characteristics of the reservoir, and establish different gas logging data discrimination plates, but cable formation pump sampling has high time efficiency, but the reservoir is easily affected by mud invasion and the pump sampling fluid has a small sweep range, which makes the sample representativeness poor. Drill pipe formation testing is expensive and has a long operation cycle, which cannot meet the needs of multi-point sampling in oil reservoirs. Well logging or gas logging information is affected by factors such as formation pressure, hydrogen index, mud content, and wellbore conditions. The empirical chart is highly subjective, and the chart method relies more on a single source of data, which cannot effectively integrate the characteristics of each data body to form a comprehensive discriminant chart.

[0003] In summary, the technical problems existing in the relevant technologies need to be improved. Summary of the invention

[0004] The main purpose of the embodiment of the present application is to propose a method and system for distinguishing the reservoir fluid type based on the fusion of multi-source information, which can integrate multi-source information data such as logging gas measurement, drilling engineering and logging resistivity, thereby improving the accuracy of reservoir fluid identification in the target well.

[0005] To achieve the above-mentioned purpose, one aspect of an embodiment of the present application proposes a method for distinguishing reservoir fluid types based on fusion of multi-source information, the method comprising:

[0006] Acquire the target well reservoir fluid data and the adjacent well reservoir fluid data, and analyze the adjacent well reservoir fluid data to determine the adjacent well reservoir fluid type;

[0007] Obtain target well logging data and target well depth resistivity data;

[0008] Determine the methane oil content indication parameter and the resistivity indication parameter of the target well according to the target well logging data and the target well depth resistivity data;

[0009] By combining the methane oil content indication parameter of the target well, the resistivity indication parameter of the target well and the reservoir fluid type of the adjacent well, a dual-parameter cross-plot is constructed and the reservoir fluid type discrimination processing is performed on the reservoir fluid data of the target well to obtain the reservoir fluid type data of the target well.

[0010] In some embodiments, the step of acquiring the target well reservoir fluid data and the adjacent well reservoir fluid data, and analyzing the adjacent well reservoir fluid data to determine the adjacent well reservoir fluid type includes:

[0011] Performing perforation treatment on the target well production layer section and the adjacent well production layer section to obtain the target well reservoir fluid data and the adjacent well reservoir fluid data;

[0012] Performing experimental data analysis on the adjacent well reservoir fluid data to determine the oil content of the adjacent well reservoir fluid;

[0013] The type of the adjacent well reservoir fluid is determined according to the oil content of the adjacent well reservoir fluid.

[0014] In some embodiments, the step of obtaining the target well logging data and the target well depth resistivity data includes:

[0015] The target well logging data is collected by a logging device to obtain the target well logging data, wherein the target well logging data includes measured methane value, methane degassing efficiency, drilling time, drilling fluid displacement and drill bit size parameters;

[0016] The target well is detected and processed by a resistivity logging instrument to obtain deep resistivity data of the target well, wherein the deep resistivity data of the target well includes deep resistivity logging parameters.

[0017] In some embodiments, determining the methane oil content indication parameter and the resistivity indication parameter of the target well according to the target well logging data and the target well depth resistivity data includes:

[0018] Performing normalization and correction processing on the logging data of the target well to determine the unit rock methane content;

[0019] Obtain the maximum value of methane anomaly in the target well reservoir and the average value of methane at the upper threshold thickness of the target well reservoir to determine the methane peak-to-base ratio;

[0020] The unit rock methane content is multiplied by the methane peak-to-base ratio to obtain a methane oil content indicator parameter of the target well;

[0021] The deep resistivity at the upper threshold thickness of the target well reservoir is obtained and multiplied with the deep resistivity data of the target well to obtain the resistivity indication parameter of the target well.

[0022] In some embodiments, the expression of the unit rock methane content is specifically as follows:

[0023] V C1 =(K×ROP×Q×C1) / (D×D)

[0024] In the above formula, V C1 It represents the methane content per unit volume of rock, K represents the methane degassing efficiency, ROP represents drilling time, Q represents the drilling fluid displacement, C1 represents the measured methane value, and D represents the drill bit size.

[0025] In some embodiments, the expression of the methane peak-to-base ratio is specifically as follows:

[0026] Y=C1 max / C1 e

[0027] In the above formula, Y represents the methane peak base ratio, C1 max Indicates the highest value of methane anomaly in the reservoir section, C1 e It represents the average methane value of the mudstone in the upper 5 m thickness of the reservoir section.

[0028] In some embodiments, the expression of the methane oil content indicator parameter of the target well is specifically as follows:

[0029] F=V C1 ×Y

[0030] In the above formula, F represents the methane oil content indicator parameter, V C1 represents the methane content per unit volume of rock, and Y represents the methane peak-to-base ratio.

[0031] In some embodiments, the expression of the resistivity indicator parameter of the target well is specifically as follows:

[0032] RTT=RT×RT sh

[0033] In the above formula, RTT represents the resistivity indicator parameter of the target well, RT represents the deep resistivity of the reservoir section, and RT sh It indicates the deep resistivity of the mudstone with a thickness of 5 m in the upper part of the reservoir section.

[0034] In some embodiments, the methane oil content indicator parameter of the target well, the resistivity indicator parameter of the target well and the reservoir fluid type of the adjacent well are combined to construct a dual parameter cross plot and perform reservoir fluid type discrimination processing on the reservoir fluid data of the target well to obtain the reservoir fluid type data of the target well, including:

[0035] Taking the methane oil content indicator parameter of the target well as the ordinate and the resistivity indicator parameter of the target well as the abscissa, a dual-parameter cross-plot is constructed;

[0036] Marking the reservoir fluid types of the adjacent wells on the dual-parameter cross-plot according to the distribution law, performing regional division processing on the dual-parameter cross-plot to obtain a divided dual-parameter cross-plot, wherein the divided dual-parameter cross-plot includes a water layer area, an oil-water layer area, and an oil layer area;

[0037] The methane oil content indication parameter of the target well and the resistivity indication parameter of the target well are projected onto the divided dual parameter intersection diagram, and the reservoir fluid type discrimination processing is performed on the reservoir fluid data of the target well to obtain the reservoir fluid type data of the target well.

[0038] To achieve the above object, another aspect of the embodiment of the present application provides a reservoir fluid type identification system based on fusion of multi-source information, the system comprising:

[0039] The first module is used to obtain the target well reservoir fluid data and the adjacent well reservoir fluid data, and analyze the adjacent well reservoir fluid data to determine the adjacent well reservoir fluid type;

[0040] The second module is used to obtain the target well logging data and the target well depth resistivity data;

[0041] The third module is used to determine the methane oil content indication parameter and the resistivity indication parameter of the target well according to the target well logging data and the target well depth resistivity data;

[0042] The fourth module is used to combine the methane oil content indication parameters of the target well, the resistivity indication parameters of the target well and the reservoir fluid type of the adjacent well to construct a dual-parameter intersection diagram and perform reservoir fluid type discrimination processing on the reservoir fluid data of the target well to obtain the reservoir fluid type data of the target well.

[0043] The embodiments of the present application include at least the following beneficial effects: The present application provides a method and system for distinguishing the reservoir fluid type based on the fusion of multi-source information. The scheme obtains the reservoir fluid data of the target well, the reservoir fluid data of the adjacent wells, the logging data of the target well and the resistivity data of the target well depth, and determines the reservoir fluid type of the adjacent wells. According to the logging data of the target well and the resistivity data of the target well depth, the methane oil content indication parameter and the resistivity indication parameter of the target well are determined, and then a dual-parameter intersection diagram is constructed and the reservoir fluid type is distinguished for the reservoir fluid data of the target well. The method is based on the extremely easy-to-obtain and low-cost gas logging and well logging data, which makes up for the high cost and long time of determining fluid properties by methods such as pump sampling or testing, and integrates multi-source information data of logging gas logging, drilling engineering and logging resistivity, fully utilizing the data advantages of different measurement methods and principles, reducing the disadvantage of excessive reliance on experience for a single factor, and thus improving the accuracy of distinguishing the reservoir fluid of the target well. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a flow chart of a method for distinguishing reservoir fluid types based on fusion of multi-source information provided in an embodiment of the present application;

[0045] Figure 2 It is a structural schematic diagram of a reservoir fluid type discrimination system based on fusion of multi-source information provided in an embodiment of the present application;

[0046] Figure 3 It is a schematic diagram of a dual-parameter intersection constructed in an embodiment of the present application. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below in conjunction with the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the embodiments of the present application. They are only examples of systems and methods consistent with some aspects of the embodiments of the present application as detailed in the attached claims.

[0048] It is understood that the terms "first", "second", etc. used in this application can be used to describe various concepts in this article, but unless otherwise specified, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another concept. For example, without departing from the scope of the embodiment of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "if" as used herein can be interpreted as "at the time of" or "when" or "in response to determination".

[0049] The terms "at least one", "multiple", "each", "any", etc. used in this application, at least one includes one, two or more, multiple includes two or more, each refers to each of the corresponding multiple, and any refers to any one of the multiple.

[0050] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0051] Reference Figure 1 , Figure 1 A flowchart of a method for distinguishing reservoir fluid types based on fusion of multi-source information provided by an embodiment of the present invention, referring to Figure 1 , the method comprises the following steps:

[0052] S100, obtaining reservoir fluid data of the target well and reservoir fluid data of the adjacent wells, and analyzing the reservoir fluid data of the adjacent wells to determine the reservoir fluid type of the adjacent wells;

[0053] It should be noted that, in some embodiments, step S100 may include:

[0054] S110, performing perforation treatment on the target well production layer section and the adjacent well production layer section to obtain the target well reservoir fluid data and the adjacent well reservoir fluid data; S120, performing experimental data analysis on the adjacent well reservoir fluid data to determine the oil content of the adjacent well reservoir fluid;

[0055] In steps S110 to S120 of some embodiments, the production data of the perforated layer section of the drilled adjacent wells of the target well is obtained, that is, the production layer section is perforated, and the production section will produce fluid. The wellhead metering can obtain relevant data for analysis to determine the oil content, wherein the oil content is based on the fluid produced by the production layer section, and the fluid is sampled. The oil content of the production fluid can be obtained through experimental analysis.

[0056] S130. Determine the type of reservoir fluid in the adjacent well according to the oil content of the reservoir fluid in the adjacent well.

[0057] In step S130 of some embodiments, the division is performed according to the oil content of the reservoir fluid of the adjacent wells, wherein the production layer segment with an oil content of 100% is determined as an oil layer, the production layer segment with an oil content less than an oil content threshold is determined as a water layer, and the production layer segment with an oil content less than 100% but greater than or equal to the oil content threshold is determined as an oil-water layer.

[0058] S200, obtaining target well logging data and target well depth resistivity data;

[0059] It should be noted that, in some embodiments, step S200 may include:

[0060] S210. Collect logging data of the target well through a logging instrument device to obtain logging data of the target well, wherein the logging data of the target well includes measured methane value, methane degassing efficiency, drilling time, drilling fluid displacement and drill bit size parameters; S220. Detect and process the target well through a resistivity logging instrument to obtain deep resistivity data of the target well, wherein the deep resistivity data of the target well includes deep resistivity logging parameters.

[0061] In steps S210 to S220 of some embodiments, methane C1, methane degassing efficiency K, drilling time ROP, drilling fluid displacement Q and drill bit size parameter D are collected and recorded by a comprehensive logging instrument or other logging device; and a deep resistivity logging parameter RT is obtained using a resistivity logging instrument.

[0062] S300, determining a methane oil content indication parameter and a resistivity indication parameter of the target well according to the target well logging data and the target well depth resistivity data;

[0063] It should be noted that, in some embodiments, step S300 may include:

[0064] S310, performing normalization correction processing on the logging data of the target well to determine the unit rock methane content;

[0065] In step S310 of some embodiments, the methane oil content indicator parameter F is obtained by multiplying the two parameters of unit rock methane content and peak-to-base ratio. The unit rock methane content first normalizes the influence of different engineering parameters, and then obtains the methane content per unit volume of rock. Among them, the engineering parameters can be obtained through a comprehensive logging instrument, and the specific parameters mainly include degassing efficiency, drilling time, drilling fluid displacement and drill bit size parameters.

[0066] Among them, the expression of unit rock methane content is as follows:

[0067] V C1 =(K×ROP×Q×C1) / (D×D)

[0068] In the above formula, V C1It represents the methane content per unit volume of rock, K represents the methane degassing efficiency, ROP represents drilling time, Q represents the drilling fluid displacement, C1 represents the measured methane value, and D represents the drill bit size.

[0069] S320, obtaining the maximum value of methane anomaly in the target well reservoir and the average value of methane at the upper threshold thickness of the target well reservoir, and determining the methane peak-to-base ratio;

[0070] In step S320 of some embodiments, the methane peak-to-base ratio focuses on highlighting the brightness of the oil and gas display, wherein the methane peak-to-base ratio mainly reflects the abnormal size of methane. The larger the peak-to-base ratio, the better the oil and gas content of the reservoir.

[0071] The expression of methane peak-to-base ratio is as follows:

[0072] Y=C1 max / C1 e

[0073] In the above formula, Y represents the methane peak base ratio, C1 max Indicates the highest value of methane anomaly in the reservoir section, C1 e It represents the average methane value of the mudstone in the upper 5 m thickness of the reservoir section.

[0074] S330, multiplying the unit rock methane content by the methane peak-to-base ratio to obtain a methane oil content indicator parameter of the target well;

[0075] In step S330 of some embodiments, the unit rock methane content is combined with the methane peak-to-base ratio, which can highlight the oil and gas display to the greatest extent and make the result parameters have quantitative meaning. The expression of the methane oil content indicator parameter of the target well is specifically as follows:

[0076] F=V C1 ×Y

[0077] In the above formula, F represents the methane oil content indicator parameter, V C1 represents the methane content per unit volume of rock, and Y represents the methane peak-to-base ratio.

[0078] S340, obtaining the deep resistivity at the upper threshold thickness of the target well reservoir and multiplying it with the deep resistivity data of the target well to obtain the resistivity indication parameter of the target well.

[0079] In step S340 of some embodiments, the expression of the resistivity indicator parameter of the target well is specifically as follows:

[0080] RTT=RT×RT sh

[0081] In the above formula, RTT represents the resistivity indicator parameter of the target well, RT represents the deep resistivity of the reservoir section, and RTsh It indicates the deep resistivity of the mudstone with a thickness of 5 m in the upper part of the reservoir section.

[0082] It should also be noted that the methane oil content indicator parameter is obtained by multiplying the unit rock methane content by the peak-to-base ratio. It can mainly eliminate the influence of environmental factors between wellbores. At the same time, multiplying it by the peak-to-base ratio can highlight the brightness of oil and gas display. The resistivity indicator parameter mainly eliminates the influence of the upper mudstone. Multiplying it by the mudstone resistivity makes the reservoir resistivity only show the reservoir oil and gas. The size of the resistivity indicator parameter directly reflects the oil and gas content of the reservoir. Therefore, the combination of the above two parameters can achieve the optimal combination for reservoir oil and gas identification.

[0083] S400, combining the methane oil content indicator parameter of the target well, the resistivity indicator parameter of the target well and the reservoir fluid type of the adjacent well, constructing a dual-parameter cross-plot and performing reservoir fluid type discrimination processing on the reservoir fluid data of the target well to obtain reservoir fluid type data of the target well;

[0084] It should be noted that, in some embodiments, step S400 may include: S410, using the methane oil content indication parameter of the target well as the ordinate and the resistivity indication parameter of the target well as the abscissa to construct a dual-parameter cross-plot; S420, marking the reservoir fluid type of the adjacent well on the dual-parameter cross-plot according to the distribution law, and performing regional division processing on the dual-parameter cross-plot to obtain a divided dual-parameter cross-plot, and the divided dual-parameter cross-plot includes a water layer area, an oil-water layer area, and an oil layer area; S430, projecting the methane oil content indication parameter of the target well and the resistivity indication parameter of the target well onto the divided dual-parameter cross-plot, performing reservoir fluid type discrimination processing on the reservoir fluid data of the target well, and obtaining the reservoir fluid type data of the target well.

[0085] In some specific embodiments, Figure 3 As shown in the figure, the methane oil-containing indicator parameter (F) is used as the ordinate and the resistivity oil-containing indicator parameter (RTT) is used as the abscissa to draw a double-parameter cross-plot. The water layer, oil-water layer, and oil layer are divided according to the distribution law of the data points of the water layer, oil-water layer, and oil layer confirmed by production on the cross-plot. Finally, the gas logging parameters (methane oil-containing indicator parameter (F) and resistivity oil-containing indicator parameter (RTT)) that need to be identified in the target well are projected on the plate to identify whether the relevant layer section of the target well is an oil layer.

[0086] In summary, the embodiments of the present invention can quickly and accurately identify water-flooded layers during the drilling process, and the implementation steps are simple and convenient; in addition, the present invention is based on gas logging and well logging data that are extremely easy to obtain and low-cost, which makes up for the high cost and long time of determining fluid properties by methods such as pump sampling or testing; finally, the method integrates multi-source information data of logging gas logging, drilling engineering and logging resistivity, fully utilizes the data advantages of different measurement methods and principles, reduces the disadvantage of excessive reliance on experience for a single factor, and provides a fast and reliable fluid identification method for oilfield production units, which is more suitable for application in reservoir reserve evaluation and development work.

[0087] See also Figure 2 The embodiment of the present application also provides a system for distinguishing reservoir fluid types based on fusion of multi-source information, which can implement the above-mentioned method for distinguishing reservoir fluid types based on fusion of multi-source information. The system includes:

[0088] The first module 201 is used to obtain the reservoir fluid data of the target well and the reservoir fluid data of the adjacent wells, and analyze the reservoir fluid data of the adjacent wells to determine the reservoir fluid type of the adjacent wells;

[0089] The second module 202 is used to obtain the target well logging data and the target well depth resistivity data;

[0090] The third module 203 is used to determine the methane oil content indication parameter and the resistivity indication parameter of the target well according to the target well logging data and the target well depth resistivity data;

[0091] The fourth module 204 is used to combine the methane oil content indication parameter of the target well, the resistivity indication parameter of the target well and the reservoir fluid type of the adjacent well to construct a dual-parameter intersection diagram and perform reservoir fluid type discrimination processing on the reservoir fluid data of the target well to obtain the reservoir fluid type data of the target well.

[0092] It can be understood that the contents of the above method embodiments are all applicable to the present system embodiments, the functions specifically implemented by the present system embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0093] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but the scope of the rights of the present invention is not limited thereto. Any modification, equivalent substitution and improvement made by a person skilled in the art without departing from the scope and essence of the present invention should be within the scope of the rights of the present invention.

Claims

1. A method for distinguishing reservoir fluid types based on fusion of multi-source information, characterized in that: The method comprises the following steps: Acquire the target well reservoir fluid data and the adjacent well reservoir fluid data, and analyze the adjacent well reservoir fluid data to determine the adjacent well reservoir fluid type; The target well logging data is collected by a logging device to obtain the target well logging data, wherein the target well logging data includes measured methane value, methane degassing efficiency, drilling time, drilling fluid displacement and drill bit size parameters; Performing detection processing on the target well by using a resistivity logging instrument to obtain deep resistivity data of the target well, wherein the deep resistivity data of the target well includes deep resistivity logging parameters; Determining the methane oil content indication parameter and the resistivity indication parameter of the target well according to the target well logging data and the target well depth resistivity data includes: Performing normalization and correction processing on the logging data of the target well to determine the unit rock methane content; The expression of the unit rock methane content is specifically as follows: In C1 =(K×ROP×Q×C1) / (D×D) In the above formula, V C1 represents the methane content per unit volume of rock, K represents the methane degassing efficiency, ROP represents drilling time, Q represents the drilling fluid displacement, C1 represents the measured methane value, and D represents the drill bit size; Obtain the maximum value of methane anomaly in the target well reservoir and the average value of methane at the upper threshold thickness of the target well reservoir to determine the methane peak-to-base ratio; The expression of the methane peak-to-base ratio is specifically as follows: Y=C1 max / C1 e In the above formula, Y represents the methane peak base ratio, C1 max Indicates the highest value of methane anomaly in the reservoir section, C1 e It represents the average methane value of the mudstone in the upper 5 m thickness of the reservoir section; The unit rock methane content is multiplied by the methane peak-to-base ratio to obtain a methane oil content indicator parameter of the target well; The expression of the methane oil content indicator parameter of the target well is specifically as follows: F=V C1 ×Y In the above formula, F represents the methane oil content indicator parameter, V C1 represents the methane content per unit volume of rock, and Y represents the methane peak-to-base ratio; Acquire the deep resistivity at the upper threshold thickness of the target well reservoir and perform multiplication calculation with the deep resistivity data of the target well to obtain the resistivity indication parameter of the target well; The expression of the resistivity indicator parameter of the target well is specifically as follows: RTT=RT×RT sh In the above formula, RTT represents the resistivity indicator parameter of the target well, RT represents the deep resistivity of the reservoir section, and RT sh It indicates the deep resistivity of mudstone in the upper 5 m thickness of the reservoir section; Combining the methane oil content indicator parameter of the target well, the resistivity indicator parameter of the target well and the reservoir fluid type of the adjacent well, a dual parameter cross plot is constructed and the reservoir fluid type discrimination processing is performed on the reservoir fluid data of the target well to obtain the reservoir fluid type data of the target well, including: Taking the methane oil content indicator parameter of the target well as the ordinate and the resistivity indicator parameter of the target well as the abscissa, a dual-parameter cross-plot is constructed; Marking the reservoir fluid types of the adjacent wells on the dual-parameter cross-plot according to the distribution law, performing regional division processing on the dual-parameter cross-plot to obtain a divided dual-parameter cross-plot, wherein the divided dual-parameter cross-plot includes a water layer area, an oil-water layer area, and an oil layer area; The methane oil content indication parameter of the target well and the resistivity indication parameter of the target well are projected onto the divided dual parameter intersection diagram, and the reservoir fluid type discrimination processing is performed on the reservoir fluid data of the target well to obtain the reservoir fluid type data of the target well.

2. The method according to claim 1, characterized in that The step of acquiring the target well reservoir fluid data and the adjacent well reservoir fluid data, and analyzing the adjacent well reservoir fluid data to determine the adjacent well reservoir fluid type includes: Performing perforation treatment on the target well production layer section and the adjacent well production layer section to obtain the target well reservoir fluid data and the adjacent well reservoir fluid data; Performing experimental data analysis on the adjacent well reservoir fluid data to determine the oil content of the adjacent well reservoir fluid; The type of the adjacent well reservoir fluid is determined according to the oil content of the adjacent well reservoir fluid.

3. A reservoir fluid type identification system based on fusion of multi-source information, characterized in that: The system comprises: The first module is used to obtain the target well reservoir fluid data and the adjacent well reservoir fluid data, and analyze the adjacent well reservoir fluid data to determine the adjacent well reservoir fluid type; The second module is used to collect logging data of the target well through a logging device to obtain the logging data of the target well, wherein the logging data of the target well includes measured methane value, methane degassing efficiency, drilling time, drilling fluid displacement and drill bit size parameters; Performing detection processing on the target well by using a resistivity logging instrument to obtain deep resistivity data of the target well, wherein the deep resistivity data of the target well includes deep resistivity logging parameters; The third module is used to determine the methane oil content indication parameter and the resistivity indication parameter of the target well according to the target well logging data and the target well depth resistivity data, including: Performing normalization and correction processing on the logging data of the target well to determine the unit rock methane content; The expression of the unit rock methane content is specifically as follows: In C1 =(K×ROP×Q×C1) / (D×D) In the above formula, V C1 represents the methane content per unit volume of rock, K represents the methane degassing efficiency, ROP represents drilling time, Q represents the drilling fluid displacement, C1 represents the measured methane value, and D represents the drill bit size; Obtain the maximum value of methane anomaly in the target well reservoir and the average value of methane at the upper threshold thickness of the target well reservoir to determine the methane peak-to-base ratio; The expression of the methane peak-to-base ratio is specifically as follows: Y=C1 max / C1 e In the above formula, Y represents the methane peak base ratio, C1 max Indicates the highest value of methane anomaly in the reservoir section, C1 e It represents the average methane value of the mudstone in the upper 5 m thickness of the reservoir section; The unit rock methane content is multiplied by the methane peak-to-base ratio to obtain a methane oil content indicator parameter of the target well; The expression of the methane oil content indicator parameter of the target well is specifically as follows: F=V C1 ×Y In the above formula, F represents the methane oil content indicator parameter, V C1 represents the methane content per unit volume of rock, and Y represents the methane peak-to-base ratio; Acquire the deep resistivity at the upper threshold thickness of the target well reservoir and perform multiplication calculation with the deep resistivity data of the target well to obtain the resistivity indication parameter of the target well; The expression of the resistivity indicator parameter of the target well is specifically as follows: RTT=RT×RT sh In the above formula, RTT represents the resistivity indicator parameter of the target well, RT represents the deep resistivity of the reservoir section, and RT sh It indicates the deep resistivity of mudstone in the upper 5 m thickness of the reservoir section; The fourth module is used to combine the methane oil content indicator parameter of the target well, the resistivity indicator parameter of the target well and the reservoir fluid type of the adjacent well to construct a dual parameter cross plot and perform reservoir fluid type discrimination processing on the reservoir fluid data of the target well to obtain the reservoir fluid type data of the target well, including: Taking the methane oil content indicator parameter of the target well as the ordinate and the resistivity indicator parameter of the target well as the abscissa, a dual-parameter cross-plot is constructed; Marking the reservoir fluid types of the adjacent wells on the dual-parameter cross-plot according to the distribution law, performing regional division processing on the dual-parameter cross-plot to obtain a divided dual-parameter cross-plot, wherein the divided dual-parameter cross-plot includes a water layer area, an oil-water layer area, and an oil layer area; The methane oil content indication parameter of the target well and the resistivity indication parameter of the target well are projected onto the divided dual parameter intersection diagram, and the reservoir fluid type discrimination processing is performed on the reservoir fluid data of the target well to obtain the reservoir fluid type data of the target well.

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