Reservoir four-property relationship chart processing method, device, equipment and medium

Abstract

The present invention discloses a method, device, equipment and medium for processing a reservoir four-property relationship chart, and relates to the field of oil well exploration, wherein the method comprises: establishing a logging data parameter processing interpretation model, determining parameters in an oil saturation model; calculating the distance from the logging response parameter to different lithology curves as a lithology indication parameter based on a neutron-density intersection chart; drawing a reservoir four-property relationship chart with the porosity of the formation as the horizontal coordinate, the formation resistivity as the vertical coordinate, and the lithology indication parameter as the color mapping, and drawing different water saturation scale lines therein, and in addition, the reservoir four-property relationship chart can also use water saturation or movable hydrocarbon saturation as the bubble radius; projecting the logging response parameters and interpretation formation parameter points of various formation types into the reservoir four-property relationship chart, and establishing a logging interpretation standard. The present invention can comprehensively and accurately display the dynamic changes and internal connections between the four properties of the reservoir.

Description

Technical Field

[0001] The invention relates to the field of oil well exploration, and in particular to a method, device, equipment and medium for processing a reservoir four-property relationship chart. Background Art

[0002] In the field of oil and gas exploration and development, the in-depth understanding of the relationship between the four properties of the reservoir (i.e., lithology, physical properties, hydrocarbon content, and electrical properties) is the key to evaluating reservoir potential and formulating mining strategies. It provides a scientific basis for determining the interpretation standards of oil and water layers through a comprehensive analysis of the internal relationship between the lithology, physical properties, hydrocarbon content, and electrical properties of the reservoir. In the existing technology, advanced logging technology and geological analysis methods are used to conduct in-depth research on the reservoir's rock composition, particle size, sorting, mud content, porosity, permeability, oil content, oil saturation, and natural gamma, resistivity, acoustic time difference and other logging information. These studies reveal that there is a complex relationship between the four properties of the reservoir.

[0003] The relationship between the four properties of a reservoir involves a large number of parameters, and there are often complex interactions between different parameters. The complex interactions between the four properties make direct evaluation difficult. For this reason, constructing a diagram of the relationship between the four properties of a reservoir has become an important technical means. However, with the continuous advancement of oil and gas exploration technology, the types and complexity of reservoirs are increasing, and traditional graphical representation methods may be difficult to fully display the dynamic changes and internal connections between the four properties of a reservoir. Therefore, how to make the diagram of the relationship between the four properties of a reservoir more comprehensive and accurate to reflect the characteristics of the reservoir in order to adapt to the complex and changeable reservoir conditions has become an urgent problem to be solved. Summary of the invention

[0004] In view of the above problems, the present invention is proposed to provide a method, device, equipment and medium for processing reservoir four-property relationship diagrams that overcome the above problems or at least partially solve the above problems.

[0005] According to one aspect of an embodiment of the present application, a method for processing a reservoir four-property relationship chart is provided, the method comprising:

[0006] Collect logging data, test data and analysis data, establish a logging data parameter processing and interpretation model based on the logging data, test data and analysis data, determine the parameters in the oil saturation model, and calibrate the porosity and water saturation of the formation;

[0007] Based on the neutron-density cross plot, the distance from the logging response parameter to different lithology curves is calculated using the point-to-line distance formula as a lithology indicator parameter;

[0008] With the porosity of the formation as the horizontal coordinate, the resistivity of the formation as the vertical coordinate, and the lithology indicator parameters as the color mapping, a chart of the relationship between the four properties of the reservoir is drawn;

[0009] Using Archie's formula, the formation resistivity at different porosities and water saturations is calculated, and different water saturation scale lines are drawn on the reservoir four-property relationship chart;

[0010] The logging response parameters and interpreted formation parameter points of various formation types are projected onto the reservoir four-property relationship chart. The logging interpretation standard for dividing oil, gas and water layers is established based on the distribution range of the projection points of different formation types.

[0011] Furthermore, the calculation formula of lithology indicator parameters is:

[0012]

[0013] Among them, FLAG is a lithology indicator parameter; a1, b1 and c are constant terms in the scale line formula corresponding to the rock type in the neutron-density crossplot, and the rock type is determined based on the logging data; DEN is the density logging value; CNCF is the neutron logging value.

[0014] Furthermore, the lithology indication parameter can be used to indicate fluid properties; when the lithology indication parameter is less than a preset value, it indicates that the formation fluid is mainly gas phase; when the lithology indication parameter is greater than the preset value, it indicates that the formation fluid is mainly liquid phase.

[0015] Furthermore, the lithology indicator parameter can be used to indicate lithology; if the rock type of the formation is sandstone, the larger the absolute value of the lithology indicator parameter is, the higher the mud content of the formation is.

[0016] Furthermore, in the reservoir four-property relationship chart, water saturation or movable hydrocarbon saturation is used as the bubble radius;

[0017] The movable hydrocarbon saturation is calculated based on the water saturation and the irreducible water saturation.

[0018] Furthermore, the calculation formula of mobile hydrocarbon saturation is:

[0019]

[0020] Where SFH is the saturation of mobile hydrocarbons; S w is water saturation; S wb is the bound water saturation calculated based on NMR.

[0021] Furthermore, the calculation formula of formation resistivity is:

[0022]

[0023] Among them, R t is the formation resistivity; a2, b2, m and n are the parameters obtained through core rock electrical experiments; R wis the formation water resistivity in the study area; is the porosity of the formation; S w is the water saturation of the formation.

[0024] According to another aspect of an embodiment of the present application, a reservoir four-property relationship plate processing device is provided, the device comprising:

[0025] The data processing module is suitable for collecting logging data, test data and analysis data, and establishing a logging data parameter processing and interpretation model based on the logging data, test data and analysis data, determining the parameters in the oil saturation model, and calibrating the porosity and water saturation of the formation;

[0026] A calculation module, suitable for calculating the distance from the logging response parameter to different lithology curves based on the neutron-density cross plot using the point-to-line distance formula as a lithology indication parameter;

[0027] The drawing module is suitable for drawing the relationship chart of the four properties of the reservoir with the porosity of the formation as the horizontal coordinate, the formation resistivity as the vertical coordinate, and the lithology indicator parameter as the color mapping; using the Archie formula, the formation resistivity at different porosities and water saturations is calculated, and different water saturation scale lines are drawn in the relationship chart of the four properties of the reservoir;

[0028] A module is established, which is suitable for projecting the logging response parameters and interpreted formation parameter points of various formation types onto the reservoir four-property relationship chart. Through the distribution range of projection points of different formation types, the logging interpretation standard for dividing oil, gas and water layers is established.

[0029] According to another aspect of the embodiment of the present application, there is provided a computing device, including: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus;

[0030] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the above-mentioned reservoir four-property relationship plate processing method.

[0031] According to another aspect of the embodiments of the present application, a computer storage medium is provided, in which at least one executable instruction is stored, and the executable instruction enables a processor to execute operations corresponding to the above-mentioned reservoir four-property relationship plate processing method.

[0032] According to another aspect of the embodiments of the present application, a computer program product is provided, comprising at least one executable instruction, wherein the executable instruction enables a processor to execute operations corresponding to the above-mentioned reservoir four-property relationship map processing method.

[0033] According to the technical solution provided by the present invention, conventional logging data and nuclear magnetic logging data are effectively integrated. By refining neutron logging data and density logging data, lithology indication parameters are calculated, thereby reducing the parameters of the two dimensions of neutron and density to one dimension parameters, conveniently realizing data dimensionality reduction processing, and using lithology indication parameters to simultaneously indicate lithology and oil content, achieving accurate characterization of reservoir lithology; and, by integrating conventional logging data and nuclear magnetic logging data, movable hydrocarbon saturation is also determined, deepening the understanding of reservoir oil and gas content; the solution proposes a new way to display the four-property relationship chart of the reservoir, using the porosity of the formation as the horizontal coordinate, the resistivity of the formation as the vertical coordinate, and the lithology indication parameters as the color mapping to draw the four-property relationship chart of the reservoir, and the water saturation can also be used as the vertical coordinate in the four-property relationship chart of the reservoir. The bubble radius is taken as the degree of oil and gas saturation or movable hydrocarbon saturation, which further enriches the content displayed by the image, successfully and comprehensively and intuitively displays the multi-dimensional parameters of the reservoir such as lithology, physical properties, oil and gas content and electrical properties in a single image, and comprehensively and accurately displays the dynamic changes and internal connections between the four properties of the reservoir, greatly improving the intuitiveness and readability of the reservoir four-property relationship chart, which can well adapt to complex and changeable reservoir conditions and ensure the intuitiveness, accuracy and practicality of the chart; this solution not only simplifies the interpretation process of complex data, but also provides a way for non-professionals to quickly capture key information, and provides strong technical support for scientific decision-making in the field of geological exploration and development, which helps to more accurately judge the reservoir performance and fluid properties of the reservoir, thereby formulating more reasonable exploration and development strategies.

[0034] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0036] Figure 1 A schematic diagram of a process of processing a reservoir four-property relationship chart according to an embodiment of the present application is shown;

[0037] Figure 2 The diagram showing the relationship between the four reservoir properties Figure 1 ;

[0038] Figure 3 The diagram showing the relationship between the four reservoir properties Figure 2 ;

[0039] Figure 4 The diagram showing the relationship between the four reservoir properties Figure 3 ;

[0040] Figure 5 A structural block diagram of a reservoir four-property relationship diagram processing device according to an embodiment of the present application is shown;

[0041] Figure 6 A schematic diagram of the structure of a computing device according to an embodiment of the present application is shown;

[0042] Figure 7 A schematic diagram of a neutron-density crossplot is shown. DETAILED DESCRIPTION

[0043] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0044] Figure 1 FIG. 1 shows a flow chart of a method for processing a reservoir four-property relationship chart according to an embodiment of the present application. Figure 1 As shown, the method comprises the following steps:

[0045] Step S101, collecting logging data, test data and analysis data, establishing a logging data parameter processing and interpretation model based on the logging data, test data and analysis data, determining parameters in the oil saturation model, and calibrating the porosity and water saturation of the formation.

[0046] Among them, logging data includes conventional logging data and nuclear magnetic logging data. Test data refers to the data obtained through oil and gas well testing. The main purpose of oil and gas well testing is to obtain the oil and gas content of the formation, the oil and gas production capacity and the characteristics of the gas layer. Through testing, we can understand the key parameters such as the fluid type (such as oil, gas, water), reservoir production capacity, reservoir original pressure, reservoir temperature, etc. of the formation. The test data mainly includes formation pressure data, fluid property data, production data, and reservoir characteristic data. The analysis data is specifically core analysis data, among which the core usually refers to a core column of a certain diameter (for example, 25mm) drilled on a full-diameter core according to certain requirements, and the core is used as a standard sample for measuring rock parameters such as porosity and permeability. Core analysis data is used to analyze the porosity, permeability, oil saturation and water saturation of the core. Conventional logging data provides basic information on reservoir lithology, physical properties and electrical properties, while nuclear magnetic resonance logging data has the advantage of its high sensitivity to fluid properties (especially oil saturation). In the embodiment of the present application, by integrating conventional logging data and nuclear magnetic resonance logging data, the reservoir characteristics can be more comprehensively characterized, which helps to construct an intuitive and informative relationship map of the four reservoir properties, providing strong support for reservoir evaluation.

[0047] Collect and organize conventional logging data, nuclear magnetic logging data, test data and core analysis data. After data preprocessing, draw the intersection diagrams of lithology, physical properties, oil content and electrical properties, and analyze the parameter relationship and change law among the four reservoir properties. Through multi-factor analysis, select appropriate logging curves, calibrate with core analysis results, and establish a logging data parameter processing and interpretation model that meets the accuracy requirements. Among them, the logging data parameter processing interpretation model includes a porosity interpretation model, a permeability model and an oil saturation model. One parameter in the oil saturation model is porosity. The porosity interpretation model uses logging parameters (such as neutron, density, and gamma) to calculate porosity. The permeability model uses porosity and resistivity to calculate permeability. The oil saturation model uses porosity and resistivity to calculate saturation. Specifically, saturation includes water saturation and oil saturation. Formation resistivity can be obtained using resistivity logging. The calculation formula of formation resistivity can be used to infer water saturation. The sum of water saturation and oil saturation is 1, so the oil saturation can be calculated. Specifically, the logging curve can select gamma, neutron, density, resistivity and other curves. Among them, the porosity interpretation model in the logging data parameter processing interpretation model can be established using the neutron-density intersection calculation results. The neutron-density crossplot is a chart used in the field of petroleum exploration and geological logging to calculate the porosity of three types of lithology: sandstone, limestone and dolomite. Neutron and density logging values ​​of the formation are obtained through neutron and density logging. The neutron and density logging values ​​are projected on the neutron-density crossplot. The projection result is called the neutron-density crossplot calculation result. The porosity of the formation can be accurately obtained based on the projection result.

[0048] The parameters in the determined oil saturation model may include a2, b2, m, n, R w , R0, R t , and I, complete the calibration of parameters such as porosity and water saturation of the formation. Among them, a2, b2, m and n are parameters that can be obtained through core rock electrical experiments, and the average value in the region can be taken; a2 is the lithology coefficient related to lithology, b2 is a constant related to lithology, R w is the resistivity of formation water in the study area, R0 is the resistivity of rock saturated with 100% formation water, R t is the formation resistivity, is the porosity of the formation, and I is the resistivity increase coefficient. Specifically, m is the cementation index, which is used to describe the complexity of the pore structure, usually between 1.8 and 2.2; n is the saturation index, which is used to describe the effect of saturation on resistivity, usually equal to 2. The porosity of the core is calculated by weighing. The core is dried and saturated with water, and then the resistivity R0 is measured using a resistivity measuring device, combined with the formation water resistivity R wObtain the formation factor F, obtain the values ​​of m and n in Archie's formula through regression analysis, and then measure the resistivity R of the core at different saturations under oil or gas drive. t , and then the resistivity increase coefficient I and a2, b2 values ​​of the formation are obtained. For the calibration of the porosity of the formation, the porosity interpretation model established by logging parameters can calculate a depth-continuous porosity curve. The cores are obtained by coring at different depths, and the porosity is obtained by core experiments. The core porosity is used to represent the porosity of the formation at the corresponding depth of the core. By adjusting the parameters of the porosity interpretation model, the calculated porosity curve is made to coincide with the porosity value of the core analysis, and the porosity of the formation can be calibrated. The calibration method for water saturation is similar, and will not be repeated here. In practical applications, a2, b2, m and n can be 1, 1, 2 and 2, respectively.

[0049] The oil saturation model can be used to establish porosity-formation resistivity scale lines at different water saturations. When establishing the scale lines, at least three pairs of porosity-formation resistivity values ​​need to be obtained at the same water saturation.

[0050] Step S102, based on the neutron-density cross plot, the distance from the logging response parameter to different lithology curves is calculated using the point-to-line distance formula as a lithology indication parameter.

[0051] The neutron-density cross plot is an important analytical tool in petroleum exploration and geological logging to determine the lithology and porosity of the formation. By using neutron logging and density logging data simultaneously, rock types can be identified and porosity can be estimated more accurately, especially for complex or heterogeneous formations. The neutron-density cross plot is formed by plotting neutron logging values ​​and density logging values ​​on the same chart. Each point in the neutron-density cross plot represents the data of a depth position, and different lithologies can be identified by the distribution of these points. Standard lithology curves (such as sandstone curves, mudstone curves, limestone curves, dolomite curves, etc.) can be added to the neutron-density cross plot to help identify lithology.

[0052] Conventional logging data and nuclear magnetic logging data each have unique advantages, but their differences in format, accuracy and interpretation methods make it complicated and cumbersome to directly integrate these data to fully reflect the relationship between the four properties of the reservoir. In the embodiment of the present application, conventional logging data and nuclear magnetic logging data are cleverly integrated. By refining neutron logging data and density logging data, the lithology indicator parameters are calculated using the point-to-line distance formula, thereby reducing the two-dimensional parameters of neutron and density to one-dimensional parameters (i.e., lithology indicator parameters), and conveniently realizing data dimensionality reduction processing. The lithology indicator parameters can simultaneously indicate lithology and oil content, realizing accurate characterization of reservoir lithology.

[0053] Specifically, the calculation formula of lithology indicator parameters is:

[0054]

[0055] Among them, FLAG is a lithology indicator parameter, dimensionless; a1, b1 and c are constant terms in the scale line formula corresponding to the rock type in the neutron-density cross plot. The rock type is determined based on logging data, and the rock type may include sandstone, mudstone, limestone, dolomite, etc.; in practical applications, the rock type can be determined based on logging data, etc., and then the specific values ​​of the constant terms a1, b1 and c can be determined based on the rock type; DEN is the density logging value; CNCF is the neutron logging value. Among them, logging data refers to logging data and logging data used for lithology identification. Logging data include resistivity, natural gamma, acoustic wave, density, neutron, etc.; logging data include rock cuttings description, etc.

[0056] Figure 7 A schematic diagram of a neutron-density cross plot is shown, such as Figure 7 As shown, where ρ ma is the skeleton density value, ρ b is the logging density value, ρ f is the fluid density, φ is the porosity, φ=(ρ ma -ρ b ) / (ρ ma -ρ f ). The scale lines corresponding to the rock types in the neutron-density crossplot (referred to as lithology scale lines) usually represent the logging response characteristics of pure rocks composed of a single mineral. These scale lines are drawn based on the logging response equations of pure rocks containing water, and they reflect the differences in the responses of rocks with different minerals in neutron and density logging. The scale lines corresponding to common rock types include: sandstone line, which represents sandstone with an average skeleton density of 2.65g / cm³ composed of quartz; limestone line, which represents limestone with a skeleton density of 2.71g / cm³ composed of calcite; dolomite line, which represents dolomite with a skeleton density of 2.86g / cm³ composed of dolomite.

[0057] The application of the scale lines corresponding to rock types includes: when interpreting well logging data, the density and neutron logging values ​​corresponding to a certain formation can be entered into the neutron-density crossplot. According to the position of the data point, the lithology of the formation can be determined. In addition to determining the lithology, the porosity of the formation can also be determined according to the position of the data point on the lithology scale line.

[0058] For example, according to Figure 7It can be seen that the scale line formula corresponding to sandstone is: ρ+0.018CNL-2.596=0, among which a1=1, b1=0.018, c=-2.596, ρ is the density logging value, and CNL is the neutron logging value.

[0059] The lithology indicator parameter can be used to indicate the properties of the fluid; when the lithology indicator parameter is less than the preset value, it means that the formation fluid is mainly gas phase, that is, mainly natural gas; when the lithology indicator parameter is greater than the preset value, it means that the formation fluid is mainly liquid phase, that is, mainly water or oil. The specific value of the preset value is related to the fluid properties, for example, the preset value can be 0.

[0060] The lithology indicator parameter can also be used to indicate lithology; if the rock type of the formation is sandstone, the larger the absolute value of the lithology indicator parameter is, the higher the mud content of the formation is.

[0061] Step S103, drawing a relationship chart of four reservoir properties with the porosity of the formation as the horizontal coordinate, the resistivity of the formation as the vertical coordinate, and the lithology indicator parameter as the color mapping.

[0062] Although traditional graphical representation methods such as scatter plots, bar graphs, box plots, and logging curve comparison graphs have their own advantages in showing the relationship between the four reservoir properties, they are often difficult to simultaneously show the dynamic changes and internal connections of reservoir lithology, physical properties, oil and gas content, and electrical properties in one graph. This limitation may lead to the omission or misinterpretation of important information, thereby affecting the accuracy and reliability of reservoir evaluation.

[0063] In an optional embodiment, an advanced graphical representation method combined with a color mapping diagram is used to draw a reservoir four-property relationship diagram. Specifically, the reservoir four-property relationship diagram is drawn with the porosity of the formation as the horizontal coordinate, the resistivity of the formation as the vertical coordinate, and the lithology indicator parameters as the color mapping.

[0064] In another optional embodiment, an advanced graphical representation method combining a bubble diagram and a color map is used to draw a reservoir four-property relationship chart, with the formation porosity as the abscissa, the formation resistivity as the ordinate, the lithology indicator parameter as the color map, and the water saturation or the movable hydrocarbon saturation as the bubble radius, to draw the reservoir four-property relationship chart. The movable hydrocarbon saturation is calculated based on the water saturation and the irreducible water saturation.

[0065] In the embodiment of the present application, the movable hydrocarbon saturation is also determined by integrating conventional logging data and nuclear magnetic logging data. Specifically, the water saturation is calculated based on conventional logging data, the bound water saturation is calculated based on nuclear magnetic logging data, and the movable hydrocarbon saturation is calculated based on the water saturation and the bound water saturation, which deepens the understanding of the oil and gas content of the reservoir. Among them, the movable hydrocarbon saturation is an important parameter in petroleum engineering and geology. It represents the proportion of pore volume occupied by hydrocarbon substances (such as oil or natural gas) that can flow in the formation. It is one of the key parameters for evaluating reservoir potential and predicting production.

[0066] The calculation formula for mobile hydrocarbon saturation is:

[0067]

[0068] Where SFH is the mobile hydrocarbon saturation, dimensionless, usually expressed as a percentage or decimal; S w is water saturation, S w It can be calculated according to Archie's formula; S wb is the bound water saturation calculated based on NMR.

[0069] The reservoir four-properties relationship map drawn in this application can successfully and comprehensively and intuitively display multi-dimensional parameters such as reservoir lithology, physical properties, oil and gas content, and electrical properties in a single image, greatly improving the intuitiveness and readability of the reservoir four-properties relationship map.

[0070] Step S104, using Archie's formula, calculate the formation resistivity at different porosities and water saturations, and draw different water saturation scale lines on the reservoir four-property relationship chart.

[0071] Archie's formula is an important formula used in geology and petroleum engineering to estimate rock porosity, saturation and other related parameters. It was proposed by Gus Archie in 1942 and is mainly used to explain the relationship between formation resistivity and pore fluid properties. It is widely used in reservoir evaluation, well logging interpretation and other fields.

[0072] The Archie formula is used to calculate the formation resistivity at different porosities and water saturations. Specifically, the calculation formula for the formation resistivity is:

[0073]

[0074] Among them, R t is the formation resistivity; a2, b2, m and n are the parameters obtained through core rock electrical experiments; R w is the formation water resistivity in the study area; is the porosity of the formation; S w is the water saturation of the formation.

[0075] In order to facilitate analysis, water saturation scale lines are added to the reservoir four-property relationship chart.

[0076] Figure 2 The diagram showing the relationship between the four reservoir properties Figure 1 The reservoir four-property relationship chart uses the porosity of the formation as the horizontal coordinate, the formation resistivity as the vertical coordinate, and the lithology indicator parameter as the color mapping, and adds water saturation scale lines corresponding to water saturations of 0.1, 0.2, 0.4, 0.6, 0.8 and 1 respectively.

[0077] Figure 3 The diagram showing the relationship between the four reservoir properties Figure 2 The reservoir four-property relationship chart uses the porosity of the formation as the horizontal coordinate, the formation resistivity as the vertical coordinate, the lithology indicator parameter as the color mapping, and the water saturation as the bubble radius, and adds water saturation scale lines corresponding to water saturations of 0.1, 0.2, 0.4, 0.6, 0.8 and 1 respectively.

[0078] Figure 4 The diagram showing the relationship between the four reservoir properties Figure 3 The reservoir four-property relationship chart uses the porosity of the formation as the horizontal coordinate, the formation resistivity as the vertical coordinate, the lithology indicator parameter as the color mapping, the movable hydrocarbon saturation as the bubble radius, and adds water saturation scale lines corresponding to water saturations of 0.1, 0.2, 0.4, 0.6, 0.8 and 1 respectively.

[0079] When establishing the reservoir four-property relationship chart, since there is a rich data basis, many parameters can be used for modeling. After the model is established, it is necessary to consider the application of the model in combination with specific circumstances. The embodiment of the present application provides the above-mentioned multiple forms of reservoir four-property relationship charts, so that users can select appropriate reservoir four-property relationship charts from the above-mentioned multiple forms of reservoir four-property relationship charts for application in combination with the data basis conditions in the application scenario.

[0080] Generally speaking, for a new well, there are usually only conventional logging data. At this time, the parameters that can be accurately obtained include the porosity, formation resistivity and lithology indicator parameters of the formation. In this case, Figure 2 The four-property relationship diagram of the reservoir is shown in the figure. The saturation is calculated using the default parameters. If the accurate parameter values ​​of a2, b2, m and n in the area are obtained through experiments, the water saturation of the formation can be accurately calculated. In this case, Figure 3 The four-property relationship diagram of the reservoir is shown in the figure. If nuclear magnetic logging is also performed on this well, that is, nuclear magnetic logging data is obtained, then the movable hydrocarbon saturation can be accurately calculated. In this case, Figure 4 The four-property relationship diagram of the reservoir is shown. The richer the data base, the higher the accuracy of the established four-property relationship diagram for identifying oil, gas and water layers.

[0081] Step S105, projecting the logging response parameters and interpreted formation parameter points of various formation types onto the reservoir four-property relationship chart, and establishing the logging interpretation standard for dividing oil, gas and water layers according to the distribution range of the projection points of different formation types.

[0082] Based on the data of oil testing and sampling, the logging response parameters and interpreted formation parameter points of various formation types are projected onto the reservoir four-property relationship chart, where various formation types may include dry layers, water layers, oil layers, gas layers, oil-water layers, and gas-water layers. After projection, the lower limits of multi-dimensional parameters such as porosity, formation resistivity, lithology indicator parameters, and movable hydrocarbon saturation are determined according to the distribution range of projection points of different formation types such as dry layers and water layers, and the logging interpretation standards for dividing oil, gas, and water layers are established.

[0083] The reservoir four-property relationship diagram processing method provided by the embodiment of the present application effectively integrates conventional logging data and nuclear magnetic logging data, and calculates lithology indication parameters by refining neutron logging data and density logging data, thereby reducing the two-dimensional parameters of neutron and density to one-dimensional parameters, conveniently realizing data dimensionality reduction processing, and using lithology indication parameters to simultaneously indicate lithology and oil content, thereby realizing accurate characterization of reservoir lithology; and, by integrating conventional logging data and nuclear magnetic logging data, the movable hydrocarbon saturation is also determined, thereby deepening the understanding of the oil and gas content of the reservoir; the scheme proposes a new way to display the reservoir four-property relationship diagram, using the porosity of the formation as the horizontal coordinate, the resistivity of the formation as the vertical coordinate, and the lithology indication parameters as the color mapping to draw the reservoir four-property relationship diagram, and the reservoir four-property relationship diagram can also be used Taking water saturation or movable hydrocarbon saturation as the bubble radius, the content displayed by the image is further enriched, and the multi-dimensional parameters of the reservoir, such as lithology, physical properties, oil and gas content, and electrical properties, are successfully and comprehensively and intuitively displayed in a single image. The dynamic changes and internal connections between the four properties of the reservoir are comprehensively and accurately displayed, which greatly improves the intuitiveness and readability of the reservoir four-property relationship chart, can well adapt to complex and changeable reservoir conditions, and ensure the intuitiveness, accuracy and practicality of the chart; this solution not only simplifies the interpretation process of complex data, but also provides a way for non-professionals to quickly capture key information, and provides strong technical support for scientific decision-making in the field of geological exploration and development, which helps to more accurately judge the reservoir performance and fluid properties of the reservoir, thereby formulating more reasonable exploration and development strategies.

[0084] Figure 5 FIG. 4 shows a structural block diagram of a reservoir four-property relationship diagram processing device according to an embodiment of the present application. Figure 5 As shown, the device includes: a data processing module 510 , a calculation module 520 , a drawing module 530 and a creation module 540 .

[0085] The data processing module 510 is suitable for: collecting logging data, test data and analysis data, establishing a logging data parameter processing interpretation model based on the logging data, test data and analysis data, determining parameters in the oil saturation model, and calibrating the porosity and water saturation of the formation.

[0086] The calculation module 520 is adapted to calculate the distance from the logging response parameter to different lithology curves based on the neutron-density cross plot using a point-to-line distance formula as a lithology indication parameter.

[0087] The drawing module 530 is suitable for: drawing a reservoir four-property relationship chart with the porosity of the formation as the horizontal coordinate, the formation resistivity as the vertical coordinate, and the lithology indicator parameters as the color mapping; using the Archie formula to calculate the formation resistivity at different porosities and water saturations, and drawing different water saturation scale lines in the reservoir four-property relationship chart.

[0088] Establishing module 540 is suitable for: projecting logging response parameters and interpreted formation parameter points of various formation types onto a reservoir four-property relationship chart, and establishing logging interpretation standards for dividing oil, gas and water layers through the distribution range of projection points of different formation types.

[0089] Optionally, the calculation formula of the lithology indicator parameter is:

[0090]

[0091] Among them, FLAG is a lithology indicator parameter; a1, b1 and c are constant terms in the scale line formula corresponding to the rock type in the neutron-density crossplot, and the rock type is determined based on the logging data; DEN is the density logging value; CNCF is the neutron logging value.

[0092] Optionally, the lithology indication parameter can be used to indicate fluid properties; when the lithology indication parameter is less than a preset value, it indicates that the formation fluid is mainly gas phase; when the lithology indication parameter is greater than the preset value, it indicates that the formation fluid is mainly liquid phase.

[0093] Optionally, the lithology indication parameter can be used to indicate the lithology; if the rock type of the formation is sandstone, the larger the absolute value of the lithology indication parameter is, the higher the mud content of the formation is.

[0094] Optionally, in the reservoir four-properties relationship diagram, water saturation or movable hydrocarbon saturation is used as the bubble radius; wherein the movable hydrocarbon saturation is calculated based on the water saturation and the irreducible water saturation.

[0095] Optionally, the calculation formula for the mobile hydrocarbon saturation is:

[0096]

[0097] Where SFH is the saturation of mobile hydrocarbons; S w is water saturation; S wb is the bound water saturation calculated based on NMR.

[0098] Optionally, the formation resistivity is calculated as:

[0099]

[0100] Among them, R t is the formation resistivity; a2, b2, m and n are the parameters obtained through core rock electrical experiments; R w is the formation water resistivity in the study area; is the porosity of the formation; S w is the water saturation of the formation.

[0101] The reservoir four-property relationship diagram processing device provided by the embodiment of the present application effectively integrates conventional logging data and nuclear magnetic logging data, and calculates lithology indication parameters by refining neutron logging data and density logging data, thereby reducing the parameters of the two dimensions of neutron and density to one-dimensional parameters, conveniently realizing data dimensionality reduction processing, and using lithology indication parameters to simultaneously indicate lithology and oil content, thereby realizing accurate characterization of reservoir lithology; and, by integrating conventional logging data and nuclear magnetic logging data, the movable hydrocarbon saturation is also determined, thereby deepening the understanding of the oil and gas content of the reservoir; the scheme proposes a new way to display the reservoir four-property relationship diagram, using the porosity of the formation as the horizontal coordinate, the resistivity of the formation as the vertical coordinate, and the lithology indication parameters as the color mapping to draw the reservoir four-property relationship diagram, and the reservoir four-property relationship diagram can also be used Taking water saturation or movable hydrocarbon saturation as the bubble radius, the content displayed by the image is further enriched, and the multi-dimensional parameters of the reservoir, such as lithology, physical properties, oil and gas content, and electrical properties, are successfully and comprehensively and intuitively displayed in a single image. The dynamic changes and internal connections between the four properties of the reservoir are comprehensively and accurately displayed, which greatly improves the intuitiveness and readability of the reservoir four-property relationship chart, can well adapt to complex and changeable reservoir conditions, and ensure the intuitiveness, accuracy and practicality of the chart; this solution not only simplifies the interpretation process of complex data, but also provides a way for non-professionals to quickly capture key information, and provides strong technical support for scientific decision-making in the field of geological exploration and development, which helps to more accurately judge the reservoir performance and fluid properties of the reservoir, thereby formulating more reasonable exploration and development strategies.

[0102] The present invention also provides a non-volatile computer storage medium, which stores at least one executable instruction, and the executable instruction can execute the reservoir four-property relationship diagram processing method in any of the above method embodiments.

[0103] An embodiment of the present invention provides a computer program product, which includes at least one executable instruction or computer program, and the executable instruction or computer program can enable a processor to execute operations corresponding to the reservoir four-property relationship map processing method in any of the above method embodiments.

[0104] Figure 6 A schematic diagram of the structure of a computing device according to an embodiment of the present application is shown. The specific embodiment of the present application does not limit the specific implementation of the computing device.

[0105] like Figure 6 As shown, the computing device may include: a processor 602 , a communication interface 604 , a memory 606 , and a communication bus 608 .

[0106] The processor 602, the communication interface 604, and the memory 606 communicate with each other via a communication bus 608. The communication interface 604 is used to communicate with other devices such as a client or other server network elements. The processor 602 is used to execute a program 610, which can specifically execute the relevant steps in the above-mentioned embodiment of the reservoir four-property relationship plate processing method for a computing device.

[0107] Specifically, the program 610 may include program codes, which include computer operation instructions.

[0108] The processor 602 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application. The one or more processors included in the computing device may be processors of the same type, such as one or more CPUs; or may be processors of different types, such as one or more CPUs and one or more ASICs.

[0109] The memory 606 is used to store the program 610. The memory 606 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0110] The program 610 can be specifically used to enable the processor 602 to execute the reservoir four-property relationship diagram processing method in any of the above method embodiments. The specific implementation of each step in the program 610 can refer to the corresponding descriptions in the corresponding steps and units in the above reservoir four-property relationship diagram processing embodiment, which will not be repeated here. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described equipment and modules can refer to the corresponding process description in the above-mentioned method embodiment, which will not be repeated here.

[0111] The algorithm and display provided herein are not inherently related to any particular computer, virtual system or other device. Various general purpose systems can also be used together with the teachings based on this. According to the above description, it is obvious that the structure required for constructing such systems. In addition, the present invention is not directed to any specific programming language either. It should be understood that various programming languages ​​can be utilized to realize the content of the present invention described herein, and the description of the above specific languages ​​is for disclosing the best mode of the present invention.

[0112] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0113] Similarly, it should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting the intention that the claimed invention requires more features than those expressly recited in each claim. Rather, as reflected in the claims, inventive aspects lie in less than all of the features of the individual embodiments previously disclosed. Therefore, the claims that follow the detailed description are hereby expressly incorporated into the detailed description, with each claim itself serving as a separate embodiment of the present invention.

[0114] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and further may be divided into a plurality of submodules or subunits or subcomponents. All features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device so disclosed may be combined in any combination, except that at least some of such features and / or processes or units are mutually exclusive. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature that provides the same, equivalent or similar purpose.

[0115] In addition, those skilled in the art will appreciate that, although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features of different embodiments is meant to be within the scope of the present invention and form different embodiments. For example, in the claims, any one of the claimed embodiments may be used in any combination.

[0116] The various component embodiments of the present invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It should be understood by those skilled in the art that a microprocessor or a digital signal processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components in the embodiments of the present invention. The present invention may also be implemented as a device or apparatus program (e.g., a computer program and a computer program product) for executing part or all of the methods described herein. Such a program implementing the present invention may be stored on a computer-readable medium, or may be in the form of one or more signals. Such a signal may be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0117] It should be noted that the above embodiments illustrate the present invention rather than limit it, and that those skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference symbol between brackets shall not be construed as a limitation on the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "one" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising a number of different elements and by means of a suitably programmed computer. In a unit claim enumerating a number of devices, several of these devices may be embodied by the same hardware item. The use of the words first, second, and third, etc., does not indicate any order. These words may be interpreted as names.

Claims

1. A method for processing a reservoir four-property relationship chart, characterized in that: The method comprises: Collecting logging data, test data and analysis data, establishing a logging data parameter processing and interpretation model based on the logging data, test data and analysis data, determining parameters in the oil saturation model, and calibrating the porosity and water saturation of the formation; Based on the neutron-density cross plot, the distance from the logging response parameter to different lithology curves is calculated using the point-to-line distance formula as a lithology indicator parameter; With the porosity of the formation as the abscissa, the resistivity of the formation as the ordinate, and the lithology indicator parameter as the color mapping, a diagram of the relationship between the four properties of the reservoir is drawn; Using Archie's formula, the formation resistivity at different porosities and water saturations is calculated, and different water saturation scale lines are drawn on the reservoir four-property relationship chart; Projecting the logging response parameters and interpreted formation parameter points of various formation types onto the reservoir four-property relationship chart, and establishing the logging interpretation standard for dividing oil, gas and water layers according to the distribution range of the projection points of different formation types; The calculation formula of the lithology indicator parameter is: Among them, FLAG is the lithology indicator parameter; a1, b1 and c are constant terms in the scale line formula corresponding to the rock type in the neutron-density crossplot, and the rock type is determined based on the logging data; DEN is the density logging value; CNCF is the neutron logging value.

2. The reservoir four-property relationship diagram processing method according to claim 1, characterized in that: The lithology indication parameter can be used to indicate fluid properties; when the lithology indication parameter is less than a preset value, it indicates that the formation fluid is mainly gas phase; when the lithology indication parameter is greater than the preset value, it indicates that the formation fluid is mainly liquid phase.

3. The reservoir four-property relationship diagram processing method according to claim 1, characterized in that: The lithology indication parameter can be used to indicate lithology; if the rock type of the formation is sandstone, the larger the absolute value of the lithology indication parameter is, the higher the mud content of the formation is.

4. The reservoir four-property relationship diagram processing method according to claim 1, characterized in that: In the reservoir four-property relationship diagram, water saturation or movable hydrocarbon saturation is used as the bubble radius; The movable hydrocarbon saturation is calculated based on the water saturation and the irreducible water saturation.

5. The reservoir four-property relationship diagram processing method according to claim 4, characterized in that: The calculation formula of the movable hydrocarbon saturation is: Wherein, SFH is the movable hydrocarbon saturation; S w is water saturation; S wb is the bound water saturation calculated based on NMR.

6. The method for processing the reservoir four-property relationship diagram according to any one of claims 1 to 5, characterized in that: The calculation formula of the formation resistivity is: Among them, R t is the formation resistivity; a2, b2, m and n are parameters obtained through core rock electrical experiments; R w is the formation water resistivity in the study area; is the porosity of the formation; S w is the water saturation of the formation.

7. A reservoir four-property relationship chart processing device, characterized in that: The device comprises: A data processing module is suitable for collecting logging data, test data and analysis data, establishing a logging data parameter processing interpretation model based on the logging data, the test data and the analysis data, determining parameters in the oil saturation model, and calibrating the porosity and water saturation of the formation; A calculation module, suitable for calculating the distance from the logging response parameter to different lithology curves based on the neutron-density cross plot using the point-to-line distance formula as a lithology indication parameter; A drawing module is suitable for drawing a reservoir four-property relationship chart with the formation porosity as the horizontal coordinate, the formation resistivity as the vertical coordinate, and the lithology indicator parameter as the color mapping; using Archie's formula, calculating the formation resistivity at different porosities and water saturations, and drawing different water saturation scale lines in the reservoir four-property relationship chart; Establishing a module, suitable for projecting the logging response parameters and interpretation formation parameter points of various formation types onto the reservoir four-property relationship chart, and establishing the logging interpretation standard for dividing the oil, gas and water layers through the distribution range of the projection points of different formation types; The calculation formula of the lithology indicator parameter is: Among them, FLAG is the lithology indicator parameter; a1, b1 and c are constant terms in the scale line formula corresponding to the rock type in the neutron-density crossplot, and the rock type is determined based on the logging data; DEN is the density logging value; CNCF is the neutron logging value.

8. A computing device, characterized in that include: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to the reservoir four-property relationship map processing method according to any one of claims 1-6.

9. A computer storage medium, characterized in that: The computer storage medium stores at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the reservoir four-property relationship map processing method according to any one of claims 1 to 6.

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