Oil and gas reservoir stratum water mineralization degree spectrum generation method, system, equipment and medium

Abstract

The invention relates to an oil and gas reservoir stratum water mineralization degree spectrum generation method, system, equipment and medium, and belongs to the technical field of petroleum engineering.The method comprises the steps that stratum water mineralization degrees of different orientations around a well at different depths are determined according to logging data, and a two-dimensional image of the stratum water mineralization degrees is generated; wherein the coordinate of each pixel point in the two-dimensional image maps the depth and orientation, and the color information of the pixel point maps the mineralization degree; according to the two-dimensional image of the formation water mineralization degree, the value distribution condition of the formation water mineralization degree at each depth is counted, and a distribution curve is generated; and generating a formation water salinity spectrum according to the distribution curve corresponding to each depth. According to the method, the two-dimensional image of the formation water mineralization degree and the formation water mineralization degree spectrum are generated according to the logging data, the cost is low, the efficiency is high, the change of the formation water mineralization degree in the longitudinal direction and the distribution condition of the formation water mineralization degree in the transverse direction can be fully displayed, and exploiting personnel can conveniently research the formation water mineralization degree of an oil and gas reservoir.

Description

Technical Field

[0001] This invention relates to the field of petroleum engineering technology, and in particular to a method, system, equipment and medium for generating formation water salinity spectra in oil and gas reservoirs. Background Technology

[0002] Oil, gas, and water exist in a dynamic equilibrium within oil and gas reservoirs. Formation water, a byproduct of oil extraction, reflects the accumulation and migration characteristics of fluids within the reservoir. Formation water salinity is the ultimate manifestation of its chemical and physical properties, directly impacting the compatibility of drilling mud and water injection. In development wells, salt crystals precipitated from high-salinity formation water within the wellbore can lead to reduced well diameter or even blockage, resulting in lower oil and gas production or well abandonment. Separating and extracting formation water from production fluids and analyzing its salinity using instruments is a key task in oil development. However, this analytical method is cumbersome, time-consuming, and costly. Furthermore, it cannot obtain the individual formation water salinity of different oil and gas reservoirs when multiple development units are operating simultaneously. Especially in tight oil and gas reservoirs, where formation properties are poor and heterogeneous, a method for determining the salinity of formation water in different lateral orientations and along continuous vertical axes has not yet been developed.

[0003] Logging data with centimeter and millimeter resolution is essential for all oil and gas drilling, comprehensively recording the rock and fluid properties of oil and gas reservoirs at different depths. Therefore, how to better characterize formation water salinity using various logging data, thereby improving the efficiency and accuracy of formation water salinity research in tight oil and gas reservoirs, is a pressing technical problem that needs to be solved in petroleum geology and petroleum development. Summary of the Invention

[0004] In view of this, it is necessary to provide a method, system, equipment and medium for generating formation water salinity spectra in oil and gas reservoirs, so as to solve the problems of high cost, low efficiency, low accuracy and insufficient characterization in the study of formation water salinity in tight oil and gas reservoirs in the existing technology.

[0005] To address the aforementioned problems / to achieve the aforementioned objectives, in a first aspect, the present invention provides a method for generating formation water salinity spectra in oil and gas reservoirs, comprising: Based on well logging data, the formation water salinity at different depths and orientations around the well is determined, and a two-dimensional image of the formation water salinity is generated; wherein, the coordinates of each pixel in the two-dimensional image are mapped to depth and orientation, and the color information of the pixel is mapped to salinity. Based on the two-dimensional image of formation water salinity, the distribution of formation water salinity values ​​at various depths is statistically analyzed, and a distribution curve is generated. Formation water salinity spectra are generated based on the distribution curves at various depths.

[0006] In one possible implementation, the step of statistically analyzing the distribution of formation water salinity values ​​at various depths based on the two-dimensional image of the formation water salinity and generating a distribution curve includes: Based on the two-dimensional image of formation water salinity, determine the value range of formation water salinity at each depth and the total number of formation water salinity data. The value interval is divided into N sub-intervals. The number of formation water salinity data falling into each sub-interval is counted, and the ratio of the number of formation water salinity data falling into each sub-interval to the total number of formation water salinity data is calculated; where N is a positive integer. A distribution curve is generated based on the ratios corresponding to each of the sub-intervals.

[0007] In one possible implementation, dividing the value interval into N sub-intervals includes: Take the logarithm of the upper and lower limits of the value range to obtain the target value range; The target value range is divided into N sub-ranges.

[0008] In one possible implementation, the method further includes: Based on the two-dimensional image of formation water salinity, the average value of formation water salinity at different depths is determined; Based on the average values ​​at different depths, a mineralization trend map of the wellbore in the depth direction is generated.

[0009] In one possible implementation, the method further includes: Based on the two-dimensional image of formation water salinity, a curve is generated representing the relationship between salinity and depth at a specific orientation of the wellbore; wherein the specific orientation includes at least one of due north, due east, due south, and due west of the wellbore.

[0010] In one possible implementation, determining the formation water salinity at different depths and orientations around the well based on well logging data includes: Based on the porosity, water saturation, and formation resistivity at different depths of the oil and gas reservoir and at different locations around the well, a two-dimensional image of formation water resistivity is generated using the theoretical calculation formula for formation water resistivity. The coordinates of each pixel in the two-dimensional image of formation water resistivity are mapped to depth and orientation, and the color information is mapped to the mineralization of the formation water resistivity. Based on the two-dimensional image of formation water resistivity and combined with the theoretical calculation formula of formation water salinity, the formation water salinity at different depths and orientations around the well is determined.

[0011] In one possible implementation, the theoretical formula for calculating the formation water resistivity is:

[0012] In the formula, Resistivity of formation water in oil and gas reservoirs; Resistivity of the oil and gas reservoir formation; Porosity of oil and gas reservoirs; Water saturation of oil and gas reservoirs; The lithology coefficient is dimensionless. The lithological constant is dimensionless. The cementation index is dimensionless. The saturation index is dimensionless. The theoretical formula for calculating formation water salinity is as follows:

[0013] in, The formation water salinity of oil and gas reservoirs; Resistivity of formation water in oil and gas reservoirs; The coefficients of the exponential function are dimensionless. is the exponent of the power function, which is dimensionless.

[0014] Secondly, the present invention also provides a system for generating formation water salinity spectra in oil and gas reservoirs, comprising: A two-dimensional formation water salinity image generation module is used to determine the formation water salinity at different depths and orientations around the well based on well logging data, and to generate a two-dimensional image of the formation water salinity; wherein, the coordinates of each pixel in the two-dimensional image are mapped to depth and orientation, and the color information of the pixel is mapped to salinity. The mineralization value distribution statistics module is used to statistically analyze the distribution of formation water mineralization values ​​at various depths based on the two-dimensional image of formation water mineralization, and generate a distribution curve. The formation water salinity spectrum generation module is used to generate a formation water salinity spectrum based on the distribution curves at various depths.

[0015] Thirdly, the present invention also provides an electronic device, including a memory and a processor, wherein, The memory is used to store programs; The processor, coupled to the memory, is used to execute the program stored in the memory to implement the steps in the method for generating formation water salinity spectra of oil and gas reservoirs as described in any of the above implementations.

[0016] Fourthly, the present invention also provides a computer-readable storage medium for storing a computer-readable program or instruction, which, when executed by a processor, can implement the steps in the method for generating a formation water salinity spectrum of an oil and gas reservoir as described in any of the above implementations.

[0017] The beneficial effects of this invention are: This invention utilizes well logging data to determine formation water salinity at different depths and orientations around the well, generating a two-dimensional image of formation water salinity. Compared to instrumental analysis methods, this approach is lower in cost, more efficient, and offers more data points, improving characterization accuracy and better showcasing the lateral and vertical variations in formation water salinity. Furthermore, based on the two-dimensional image, the distribution of formation water salinity values ​​at various depths is statistically analyzed, generating a formation water salinity spectrum characterizing the distribution at different depths. This spectrum displays both the vertical and lateral variations in formation water salinity, further enhancing characterization accuracy and richness, and facilitating research on formation water salinity in oil and gas reservoirs by mining personnel. Attached Figure Description

[0018] Figure 1 This is a schematic flowchart of an embodiment of a method for generating formation water salinity spectra in oil and gas reservoirs provided by the present invention. Figure 2 For the present invention Figure 1 A schematic diagram of an embodiment of S102; Figure 3 A schematic diagram illustrating the theoretical relationship between formation water salinity and formation water resistivity in tight oil and gas reservoirs, provided by this invention. Figure 4 A two-dimensional schematic diagram illustrating the influence of tight oil and gas reservoir porosity on formation water salinity in tight oil and gas reservoirs, provided by this invention. Figure 5 A two-dimensional schematic diagram illustrating the influence of the resistivity of tight oil and gas reservoirs on the salinity of formation water in tight oil and gas reservoirs, provided by the present invention. Figure 6 A two-dimensional schematic diagram illustrating the influence of water saturation in tight oil and gas reservoirs on formation water salinity, provided by this invention. Figure 7 A three-dimensional schematic diagram illustrating the influence of porosity, resistivity, and water saturation of tight oil and gas reservoirs on formation water salinity of tight oil and gas reservoirs, provided by this invention. Figure 8 A schematic diagram of nuclear magnetic resonance logging porosity, nuclear magnetic resonance logging water saturation and microresistivity imaging logging calibration data for a section of a tight oil and gas reservoir, provided by the present invention. Figure 9 This invention provides a two-dimensional image of formation water salinity in a partial well section of a tight oil and gas reservoir, numerical values ​​of formation water salinity in tight oil and gas reservoirs at different azimuths along the upper well perimeter, and a schematic diagram of formation water salinity spectrum results. Figure 10 A schematic diagram of an embodiment of an oil and gas reservoir formation water salinity spectrum generation system provided by the present invention; Figure 11 A schematic diagram of an embodiment of the electronic device provided by the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0020] In the description of the embodiments of the present invention, unless otherwise stated, "a plurality of" means two or more. The terms "first," "second," etc., used in the embodiments of the present invention are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a technical feature defined with "first" or "second" may explicitly or implicitly include at least one of that feature.

[0021] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0022] Reference Figure 1 The diagram illustrates a flowchart of an embodiment of the method for generating formation water salinity spectra in oil and gas reservoirs provided by the present invention. The method includes: S101, Based on well logging data, determine the formation water salinity at different depths and orientations around the well, and generate a two-dimensional image of the formation water salinity; wherein, the coordinates of each pixel in the two-dimensional image map to depth and orientation, and the color information of the pixel map to salinity.

[0023] Well logging data can include data such as oil and gas reservoir porosity from nuclear magnetic resonance (NMR) logging, water saturation from NMR logging, and microresistivity imaging logging calibration data.

[0024] Based on well logging data and the theoretical calculation formula for formation water salinity, the formation water salinity at different depths and orientations around the well can be calculated, and then a two-dimensional image of the formation water salinity can be generated for visualization.

[0025] In a two-dimensional image of formation water salinity, the coordinates of each pixel represent the corresponding depth and orientation, while its color information can be grayscale values, which in turn map the salinity values.

[0026] S102. Based on the two-dimensional image of formation water salinity, statistically analyze the distribution of formation water salinity values ​​at various depths and generate distribution curves.

[0027] Based on the two-dimensional image of formation water salinity, the formation water salinity values ​​of oil and gas reservoirs at different azimuths along the horizontal well perimeter at various depths can be calculated. Specifically, the formation water salinity values ​​of tight oil and gas reservoirs in any azimuth from 0° to 360° can be calculated in the wellbore with due north as 0° and rotating clockwise.

[0028] At the same depth, the degree of mineralization varies in different orientations. Therefore, we can further analyze its distribution in the horizontal direction and generate a distribution curve.

[0029] S103 generates a formation water salinity spectrum based on the distribution curves corresponding to each depth.

[0030] By plotting the distribution curves corresponding to each depth on a single graph, the formation water salinity spectrum can be obtained. The formation water salinity spectrum can show the distribution of formation water salinity values ​​at different depths.

[0031] The oil and gas reservoir formation water salinity spectral method provided in this embodiment can be applied to an oil and gas reservoir formation water salinity spectral system, which can be a software system running on a terminal device. The terminal device can be a tablet computer, in-vehicle device, augmented reality (AR) / virtual reality (VR) device, laptop computer, ultra-mobile personal computer (UMPC), netbook, personal digital assistant (PDA), mobile phone, etc. This embodiment does not impose any restrictions on the specific type of terminal device.

[0032] This embodiment utilizes well logging data to determine the formation water salinity at different depths and orientations around the well, generating a two-dimensional image of formation water salinity. Compared to instrumental analysis methods, this approach is lower in cost, more efficient, and offers more data points, improving characterization accuracy and better showcasing the lateral and vertical variations in formation water salinity. Furthermore, based on the two-dimensional image, the distribution of formation water salinity values ​​at various depths is statistically analyzed, generating a formation water salinity spectrum characterizing the distribution at different depths. This spectrum displays both the vertical and lateral variations in formation water salinity, further enhancing characterization accuracy and richness, and facilitating research on formation water salinity in oil and gas reservoirs by mining personnel.

[0033] In some embodiments of the present invention, S102 includes: S201. Based on the two-dimensional image of formation water salinity, determine the value range of formation water salinity at each depth and the total number of formation water salinity data.

[0034] S202, divide the value interval into N sub-intervals, count the number of formation water salinity data falling into each sub-interval, and calculate the ratio of the number of formation water salinity data falling into each sub-interval to the total number of formation water salinity data; where N is a positive integer.

[0035] S203 generates distribution curves based on the ratios corresponding to each sub-interval.

[0036] In a two-dimensional image of formation water salinity, each pixel represents a data point, the meaning of which is as described above. Therefore, based on this two-dimensional image, the value range of formation water salinity at each depth and the total number of formation water salinity data points can be statistically determined.

[0037] Then, for each depth, the distribution of formation water salinity can be statistically analyzed. For example, the value interval corresponding to the current depth can be divided into N sub-intervals, and the number of formation water salinity data points falling into each sub-interval can be counted. Then, for each sub-interval, the number of formation water salinity data points falling into each sub-interval can be divided by the total number of formation water salinity data points corresponding to the current depth, thus obtaining the distribution of formation water salinity at the current depth. Finally, a distribution curve can be plotted based on the distribution.

[0038] In some embodiments of the present invention, the step of dividing the value range into N sub-ranges includes: Take the logarithm of the upper and lower limits of the value range to obtain the target value range; Divide the target value range into N equal sub-ranges.

[0039] In this implementation, when counting the number of formation water salinity data falling into each of the sub-intervals, it is also necessary to first take the logarithm of each formation water salinity before determining which sub-interval it falls into.

[0040] For example, take the logarithm of all formation water salinity values ​​in tight oil and gas reservoirs at the current depth, then divide the maximum and minimum logarithmic values ​​of salinity into 50 equal intervals, count the number of logarithmic values ​​of formation water salinity in tight oil and gas reservoirs in each interval, and divide by the total number of formation water salinity values ​​at the current depth.

[0041] In this implementation, the logarithm of each data point contained in the two-dimensional image of formation water salinity can be calculated using the following formula:

[0042] in, 1 to N Integers between [a certain number] N This represents the number of resistivity values ​​in the two-dimensional scale image of microresistivity imaging logging of tight oil and gas reservoirs at the current depth. The second two-dimensional image of formation water salinity in tight oil and gas reservoirs at the current depth. Each mineralization value is the logarithm of base 10, in mg / L; The second calibrated image of microresistivity imaging well logging at the current depth for tight oil and gas reservoirs. resistivity values, Ω·m; The porosity of the tight oil and gas reservoir at the current depth, measured by nuclear magnetic resonance logging, is a decimal. This represents the water saturation from nuclear magnetic resonance logging at the current depth in a tight oil and gas reservoir, as a decimal. The coefficients of the power function are dimensionless. The exponent of the power function is dimensionless; The lithology coefficient is dimensionless. The lithological constant is dimensionless. The cementation index is dimensionless. It is a saturation index, dimensionless.

[0043] In some embodiments of the present invention, the method for generating formation water salinity spectra in oil and gas reservoirs further includes: Based on the two-dimensional image of formation water salinity, the average value of formation water salinity at different depths was determined; Based on the average values ​​at different depths, a mineralization trend map of the wellbore along the depth direction is generated.

[0044] In some embodiments of the present invention, the method further includes: Based on a two-dimensional image of formation water salinity, a curve representing the relationship between salinity and depth at a specific orientation of the wellbore is generated; wherein, the specific orientation includes at least one of the wellbore's due north, due east, due south, and due west.

[0045] In some embodiments of the present invention, the step of determining the formation water salinity at different depths and orientations around the well based on well logging data includes: Based on the porosity, water saturation, and formation resistivity at different depths of the oil and gas reservoir and at different locations around the well, a two-dimensional image of formation water resistivity is generated using the theoretical calculation formula for formation water resistivity. The coordinates of each pixel in the two-dimensional image of formation water resistivity are mapped to depth and orientation, and the color information is mapped to the mineralization of the formation water resistivity. Based on the two-dimensional image of formation water resistivity and combined with the theoretical calculation formula of formation water salinity, the formation water salinity at different depths and orientations around the well is determined.

[0046] Specifically, the oil and gas reservoir porosity obtained from NMR logging data is the porosity of tight oil and gas reservoirs. The oil and gas reservoir water saturation obtained from NMR logging data is the water saturation of tight oil and gas reservoirs. The oil and gas reservoir microresistivity imaging logging calibration data are the resistivity values ​​of the two-dimensional microresistivity imaging logging images obtained by calibrating the static images of the tight oil and gas reservoir formation resistivity.

[0047] In some embodiments of the present invention, the theoretical formula for calculating formation water resistivity is as follows:

[0048] In the formula, Resistivity of formation water in oil and gas reservoirs; Resistivity of the oil and gas reservoir formation; Porosity of oil and gas reservoirs; Water saturation of oil and gas reservoirs; The lithology coefficient is dimensionless. The lithological constant is dimensionless. The cementation index is dimensionless. The saturation index is dimensionless. The theoretical formula for calculating formation water salinity is:

[0049] in, The formation water salinity of oil and gas reservoirs; Resistivity of formation water in oil and gas reservoirs; The coefficients of the exponential function are dimensionless. is the exponent of the power function, which is dimensionless.

[0050] Prior to this implementation, existing formation water analysis data for oil and gas reservoirs can be obtained. This data can include formation water salinity and resistivity. The theoretical relationship between formation water salinity and resistivity will then be analyzed. Reservoir parameters such as lithology coefficient, lithology constant, cementation index, and saturation index will be acquired to establish a theoretical calculation formula for formation water salinity in tight oil and gas reservoirs. Based on this formula, the influencing factors on formation water salinity will be comprehensively analyzed. These factors include reservoir porosity, resistivity, and water saturation.

[0051] Reference Figure 3 By fitting data on formation water salinity and resistivity in existing tight oil and gas reservoir formation water analysis data, the power function coefficients in the theoretical calculation formula for formation water salinity were determined. Exponent of the power function Therefore, the theoretical relationship between formation water salinity and formation water resistivity in tight oil and gas reservoirs is as follows:

[0052]

[0053] In a specific example, lithology coefficient lithological constants Cementation index Saturation index The theoretical formula for calculating the formation water salinity of tight oil and gas reservoirs is as follows:

[0054] It is understandable that when the resistivity and water saturation of an oil and gas reservoir are constant, the formation water salinity decreases exponentially with increasing porosity. For example... Figure 4 As shown, Figure 4 This is a two-dimensional schematic diagram illustrating the influence of tight oil and gas reservoir porosity on formation water salinity according to an embodiment of the present invention. When the water saturation of the tight oil and gas reservoir is set to 0.8, and the resistivity is set to 10 Ω·m, 30 Ω·m, 50 Ω·m, 70 Ω·m, and 90 Ω·m, respectively, the relationship between formation water salinity and porosity is negatively exponential.

[0055] It is understandable that when the porosity and water saturation of an oil and gas reservoir are constant, the formation water salinity decreases exponentially with increasing resistivity. (Refer to...) Figure 5This diagram illustrates a two-dimensional schematic of the influence of resistivity of tight oil and gas reservoirs on formation water salinity, according to an embodiment of the present invention. When the water saturation of the tight oil and gas reservoir is set to 0.8 and the porosity is set to 0.02, 0.04, 0.06, 0.08, 0.1, and 0.12, the relationship between formation water salinity and porosity is negatively exponential.

[0056] Understandably, when the porosity and resistivity of an oil and gas reservoir are constant, the formation water salinity decreases exponentially with increasing water saturation. (Refer to...) Figure 6 This diagram illustrates a two-dimensional schematic of the influence of tight oil and gas reservoir resistivity on formation water salinity according to an embodiment of the present invention. When the tight oil and gas reservoir resistivity is set to 40 Ω·m and the porosity is set to 0.02, 0.04, 0.06, 0.08, 0.10, and 0.12, the relationship between formation water salinity and water saturation in the tight oil and gas reservoir is negatively exponential.

[0057] Reference Figure 7 This diagram illustrates a three-dimensional schematic of the influence of porosity, resistivity, and water saturation of tight oil and gas reservoirs on formation water salinity, according to an embodiment of the present invention. Formation water salinity in tight oil and gas reservoirs decreases exponentially with the simultaneous increase of porosity, resistivity, and water saturation.

[0058] Reference Figure 8 This diagram illustrates nuclear magnetic resonance (NMR) logging data for porosity, water saturation, and microresistivity imaging logging in a specific well section of a tight oil and gas reservoir, provided by an embodiment of the present invention. The NMR logging data for porosity and water saturation in the tight oil and gas reservoir are one-dimensional curves, while the microresistivity imaging logging data are two-dimensional.

[0059] refer to Figure 9 The image shows a two-dimensional image of formation water salinity in a certain section of a well forming a tight oil and gas reservoir, as well as formation water salinity values ​​in the north, east, south, and west directions of the wellbore, and the formation water salinity spectrum and trend value of the tight oil and gas reservoir in that section.

[0060] To better implement the method for generating formation water salinity spectra in oil and gas reservoirs according to embodiments of the present invention, based on a method for generating formation water salinity spectra in oil and gas reservoirs, correspondingly, referring to... Figure 10 As shown, this embodiment of the invention also provides an oil and gas reservoir formation water salinity spectrum generation system 10, the system 10 comprising: The formation water salinity two-dimensional image generation module 110 is used to determine the formation water salinity at different depths and orientations around the well based on well logging data, and generate a two-dimensional image of the formation water salinity; wherein, the coordinates of each pixel in the two-dimensional image are mapped to depth and orientation, and the color information of the pixel is mapped to salinity. The mineralization value distribution statistics module 120 is used to statistically analyze the distribution of formation water mineralization values ​​at various depths based on the two-dimensional image of formation water mineralization, and generate distribution curves. Formation water salinity spectrum generation module 130 is used to generate formation water salinity spectrum based on the distribution curves corresponding to each depth.

[0061] The oil and gas reservoir formation water salinity spectrum generation system 10 provided in the above embodiments can realize the technical solution described in the above embodiments of the oil and gas reservoir formation water salinity spectrum generation method. The specific implementation principle of each module or unit can be found in the corresponding content in the above embodiments of the oil and gas reservoir formation water salinity spectrum generation method, which will not be repeated here.

[0062] Reference Figure 11 The diagram shows a schematic of an electronic device 11 provided by the present invention. The electronic device 11 includes a processor 111, a memory 112, and a display 113. Figure 11 Only some of the components of the electronic device 11 are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0063] In some embodiments, processor 111 may be a central processing unit (CPU), microprocessor or other data processing chip, used to run program code stored in memory 112 or process data, such as a method for generating formation water salinity spectrum of oil and gas reservoirs in this invention.

[0064] In some embodiments, processor 111 may be a single server or a group of servers. The server group may be centralized or distributed. In some embodiments, processor 111 may be local or remote. In some embodiments, processor 111 may be implemented on a cloud platform. In some embodiments, the cloud platform may include a private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, internal cloud, multi-cloud, or any combination thereof.

[0065] In some embodiments, memory 112 may be an internal storage unit of electronic device 11, such as a hard disk or memory of electronic device 11. In other embodiments, memory 112 may also be an external storage device of electronic device 11, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc. equipped on electronic device 11.

[0066] Furthermore, the memory 112 may include both internal storage units of the electronic device 11 and external storage devices. The memory 112 is used to store application software and various types of data installed on the electronic device 11.

[0067] In some embodiments, display 113 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. Display 113 is used to display information on electronic device 11 and to display a visual user interface. Components 111-113 of electronic device 11 communicate with each other via a system bus.

[0068] In one embodiment, when processor 111 executes a program for generating a formation water salinity spectrum of an oil and gas reservoir stored in memory 112, the following steps can be implemented: Based on well logging data, the formation water salinity at different depths and orientations around the well is determined, and a two-dimensional image of the formation water salinity is generated. In this image, the coordinates of each pixel are mapped to depth and orientation, and the color information of each pixel is mapped to salinity. Based on the two-dimensional image of formation water salinity, the distribution of formation water salinity values ​​at various depths is statistically analyzed, and distribution curves are generated. Formation water salinity spectra are generated based on the distribution curves corresponding to each depth.

[0069] It should be understood that when the processor 111 executes a program for generating a formation water salinity spectrum of an oil and gas reservoir in the memory 112, in addition to the functions mentioned above, it can also perform other functions, as can be found in the description of the corresponding method embodiments above.

[0070] Furthermore, the embodiments of the present invention do not specifically limit the type of electronic device 11 mentioned. Electronic device 11 can be a mobile phone, tablet computer, personal digital assistant (PDA), wearable device, laptop computer, or other portable electronic device. Exemplary embodiments of portable electronic devices include, but are not limited to, portable electronic devices running iOS, Android, Microsoft, or other operating systems. The aforementioned portable electronic device can also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the present invention, electronic device 11 may not be a portable electronic device, but rather a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0071] Those skilled in the art will understand that all or part of the processes of the methods described in the above embodiments can be implemented by a computer program instructing related hardware, and the program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a disk, optical disk, read-only memory, or random access memory, etc.

[0072] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for generating formation water salinity spectra in oil and gas reservoirs, characterized in that, include: Based on well logging data, the formation water salinity at different depths and orientations around the well is determined, and a two-dimensional image of the formation water salinity is generated; wherein, the coordinates of each pixel in the two-dimensional image are mapped to depth and orientation, and the color information of the pixel is mapped to salinity. Based on the two-dimensional image of formation water salinity, the distribution of formation water salinity values ​​at various depths is statistically analyzed, and a distribution curve is generated. Formation water salinity spectra are generated based on the distribution curves corresponding to each depth.

2. The method for generating formation water salinity spectra in oil and gas reservoirs according to claim 1, characterized in that, The step of statistically analyzing the distribution of formation water salinity at various depths based on the two-dimensional image of formation water salinity and generating a distribution curve includes: Based on the two-dimensional image of formation water salinity, determine the value range of formation water salinity at each depth and the total number of formation water salinity data. The value interval is divided into N sub-intervals. The number of formation water salinity data falling into each sub-interval is counted, and the ratio of the number of formation water salinity data falling into each sub-interval to the total number of formation water salinity data is calculated; where N is a positive integer. A distribution curve is generated based on the ratios corresponding to each of the sub-intervals.

3. The method for generating formation water salinity spectra in oil and gas reservoirs according to claim 1, characterized in that, The step of dividing the value range into N sub-ranges includes: Take the logarithm of the upper and lower limits of the value range to obtain the target value range; The target value range is divided into N sub-ranges.

4. The method for generating formation water salinity spectra in oil and gas reservoirs according to claim 1, characterized in that, The method further includes: Based on the two-dimensional image of formation water salinity, the average value of formation water salinity at different depths is determined; Based on the average values ​​at different depths, a mineralization trend map of the wellbore in the depth direction is generated.

5. The method for generating formation water salinity spectra in oil and gas reservoirs according to claim 1, characterized in that, The method further includes: Based on the two-dimensional image of formation water salinity, a curve is generated representing the relationship between salinity and depth at a specific orientation of the wellbore; wherein the specific orientation includes at least one of due north, due east, due south, and due west of the wellbore.

6. The method for generating formation water salinity spectra in oil and gas reservoirs according to claim 1, characterized in that, The determination of formation water salinity at different depths and orientations around the well based on well logging data includes: Based on the porosity, water saturation, and formation resistivity at different depths of the oil and gas reservoir and at different locations around the well, a two-dimensional image of formation water resistivity is generated using the theoretical calculation formula for formation water resistivity. The coordinates of each pixel in the two-dimensional image of formation water resistivity are mapped to depth and orientation, and the color information is mapped to the mineralization of the formation water resistivity. Based on the two-dimensional image of formation water resistivity and combined with the theoretical calculation formula of formation water salinity, the formation water salinity at different depths and orientations around the well is determined.

7. The method for generating formation water salinity spectra in oil and gas reservoirs according to claim 6, characterized in that, The theoretical formula for calculating the resistivity of formation water is as follows: In the formula, Resistivity of formation water in oil and gas reservoirs; Resistivity of the oil and gas reservoir formation; Porosity of oil and gas reservoirs; Water saturation of oil and gas reservoirs; The lithology coefficient is dimensionless. The lithological constant is dimensionless. The cementation index is dimensionless. The saturation index is dimensionless. The theoretical formula for calculating formation water salinity is as follows: in, The formation water salinity of oil and gas reservoirs; Resistivity of formation water in oil and gas reservoirs; The coefficients of the exponential function are dimensionless. is the exponent of the power function, which is dimensionless.

8. A system for generating formation water salinity spectra in oil and gas reservoirs, characterized in that, include: A two-dimensional formation water salinity image generation module is used to determine the formation water salinity at different depths and orientations around the well based on well logging data, and to generate a two-dimensional image of the formation water salinity; wherein, the coordinates of each pixel in the two-dimensional image are mapped to depth and orientation, and the color information of the pixel is mapped to salinity. The mineralization value distribution statistics module is used to statistically analyze the distribution of formation water mineralization values ​​at various depths based on the two-dimensional image of formation water mineralization, and generate a distribution curve. The formation water salinity spectrum generation module is used to generate formation water salinity spectra based on the distribution curves corresponding to each depth.

9. An electronic device, characterized in that, Including memory and processor, among which, The memory is used to store programs; The processor, coupled to the memory, is used to execute the program stored in the memory to implement the steps in the method for generating formation water salinity spectra of oil and gas reservoirs as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps in the method for generating formation water salinity spectra of oil and gas reservoirs as described in any one of claims 1 to 7.

Images