Oil layer identification method and system

Abstract

The invention discloses an oil layer identification method and system. The method comprises the steps that conventional logging data information of a to-be-evaluated target interval is collected; determining a formation resistivity logging value, a porosity average value and a total hydrocarbon peak-to-base ratio of each reservoir section based on conventional logging data information and a layering result of the to-be-evaluated target section; correcting the formation resistivity logging value of each reservoir section by utilizing the formation water resistivity and the porosity average value of each reservoir section so as to obtain corrected formation resistivity; establishing an oil reservoir identification chart by adopting the data of the test oil reservoir, the total hydrocarbon peak-to-base ratio of each reservoir section and the corrected formation resistivity; projecting the data points of the to-be-evaluated layer to the oil layer identification plate, and obtaining an oil layer identification result according to the positions of the data points on the oil layer identification plate; according to the method, useful oil-gas-containing information in the resistivity curve is kept through resistivity correction, a sensitive parameter of the gas logging total hydrocarbon peak-to-base ratio is introduced, oil layer recognition is comprehensively carried out, and the accuracy of oil layer recognition is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of oil exploration, and more specifically, to a method and system for oil layer identification. Background Art

[0002] With the increasing depth of oil and gas field exploration and development, the proportion of oil and gas reserves in complex reservoirs such as low porosity and low permeability, low resistivity, and low contrast is increasing, and the difficulty of oil layer interpretation and evaluation is also increasing. Due to the influence of multiple factors such as complex reservoir lithology, complex pore structure, reservoir physical properties, and formation water salinity, the resistivity difference between oil layers and water layers becomes smaller, resulting in difficulties in accurately identifying oil layers. In the initial stage of oilfield exploration and development, some low-contrast oil layers are often missed.

[0003] Currently, the methods for identifying oil layers using conventional logging data mainly include longitudinal resistivity comparison method, radial resistivity comparison method, minimum resistivity method, and cross-plot methods such as porosity-resistivity cross-plot. The basic principle of these methods is mainly to identify oil layers and water layers by using the resistivity differences between oil layers and water layers in the longitudinal and radial directions of the formation. Generally, oil layers usually show high resistivity characteristics, water layers show low resistivity characteristics, and the resistivity difference between oil layers and water layers is more than twice. In reservoirs with relatively pure lithology, good reservoir physical properties, and stable formation water salinity distribution, the above methods usually have good application effects. However, in reservoirs with relatively large changes in formation water salinity and reservoir physical properties, using the above methods will have certain limitations.

[0004] The level of formation water salinity directly determines the resistivity of formation water, which in turn affects the resistivity of the reservoir. If the formation water salinity of the reservoir is relatively high, it will cause the resistivity of the oil layer to be relatively low. In some reservoirs with poor physical properties and complex pore structures, the resistivity of the oil layer even decreases to be equivalent to that of the water layer; while in reservoirs with low salinity formation water, it will cause the resistivity of the water layer to be relatively high, even equivalent to that of the oil layer. The above two situations will both lead to a decrease in the resistivity contrast between oil layers and water layers, increasing the difficulty of identification. At the same time, under complex physical property conditions, the pore structure of the reservoir will become more complex, with various pore types, which will lead to an increase in the irreducible water saturation of the reservoir, thereby affecting the conductive performance of the reservoir and ultimately affecting the resistivity of the reservoir. Through the above analysis, in reservoirs with large changes in formation water salinity and complex reservoir physical properties, accurately identifying oil layers faces great challenges.

[0005] Currently, most of the conventional methods for identifying oil layers mainly based on resistivity directly use the high and low resistivity values to identify oil layers, without considering the correction of the influence of reservoir physical properties and formation water salinity. At the same time, the evaluation parameters are relatively single, relying mainly on a single resistivity curve, which affects the identification effect of oil layers in areas with low porosity and permeability and large changes in formation water salinity.

[0006] Therefore, there is an urgent need to develop an oil layer identification method and system to solve one or more of the above problems. Summary of the Invention

[0007] One object of the present invention is to provide a new technical solution for an oil layer identification method and system.

[0008] According to a first aspect of the present invention, there is provided an oil layer identification method, the method comprising:

[0009] Step S1: Collect conventional logging data of the target interval to be evaluated;

[0010] Step S2: Determine the formation resistivity logging value of each reservoir interval, the average porosity of each reservoir interval, and the full hydrocarbon peak-base ratio of each reservoir interval based on the conventional logging data and the stratification result of the target interval to be evaluated;

[0011] Step S3: Correct the formation resistivity logging value of each reservoir interval by using the formation water resistivity of each reservoir interval and the average porosity of each reservoir interval to obtain the corrected formation resistivity;

[0012] Step S4: Establish an oil layer identification chart using the oil test layer data, the full hydrocarbon peak-base ratio of each reservoir interval, and the corrected formation resistivity;

[0013] Step S5: Project the data points of the interval to be evaluated onto the oil layer identification chart, and obtain the oil layer identification result according to the position of the data points on the oil layer identification chart.

[0014] Optionally, in step S2, the target interval to be evaluated is stratified by using an automatic stratification method with principal component activity weighting and variance optimization or a manual stratification method to obtain the stratification result of the target interval to be evaluated.

[0015] Optionally, step S2 specifically includes:

[0016] Obtain the formation resistivity logging value of each reservoir interval from the conventional logging data based on the stratification result of the target interval to be evaluated;

[0017] Obtain the conventional porosity logging data of each reservoir interval from the conventional logging data based on the stratification result of the target interval to be evaluated, and calculate the average porosity of each reservoir interval by using the conventional porosity logging data of each reservoir interval;

[0018] Obtain the logging gas-measured total hydrocarbon data of each reservoir interval from the conventional logging data based on the stratification result of the target interval to be evaluated to determine the total hydrocarbon baseline value and the gas-measured total hydrocarbon peak value of each reservoir interval, and compare the total hydrocarbon baseline value and the gas-measured total hydrocarbon peak value of each reservoir interval to obtain the full hydrocarbon peak-base ratio of each reservoir interval.

[0019] Optionally, in step S3, based on the layering result of the target interval to be evaluated and the water analysis data of the target interval to be evaluated, determine the formation water salinity of each reservoir interval, so as to calculate the formation water resistivity of each reservoir interval by using the formation water salinity of each reservoir interval;

[0020] Alternatively, based on the layering result of the target interval to be evaluated and the spontaneous potential logging data, calculate the formation water resistivity of each reservoir interval.

[0021] Optionally, step S4 specifically includes:

[0022] Establish a coordinate system of the corrected formation resistivity and the full hydrocarbon peak-base ratio of each reservoir interval;

[0023] Project the test oil layer data onto the coordinate system to obtain a crossplot;

[0024] According to the position characteristics of the oil layer and non-oil layer data points distributed on the crossplot, divide the boundaries of the oil layer data points, water layer data points and oil-water coexisting layer data points, and then establish the oil layer identification chart.

[0025] Optionally, in step S5, the oil layer identification result obtained according to the position of the data point on the oil layer identification chart is specifically:

[0026] If the data point falls within the oil layer area of the oil layer identification chart, it is determined that the interval to be evaluated is an oil layer; if the data point falls within the water layer area of the oil layer identification chart, it is determined that the interval to be evaluated is a water layer; if the data point falls within the oil-water coexisting layer area of the oil layer identification chart, it is determined that the interval to be evaluated is an oil-water coexisting layer.

[0027] According to the second aspect of the present invention, an oil layer identification system is provided, and the system includes:

[0028] A collection module, configured to collect the conventional logging data of the target interval to be evaluated;

[0029] An acquisition module, configured to determine the formation resistivity logging value of each reservoir interval, the average porosity of each reservoir interval, and the full hydrocarbon peak-base ratio of each reservoir interval based on the conventional logging data and the layering result of the target interval to be evaluated;

[0030] A correction module, configured to correct the formation resistivity logging value of each reservoir interval by using the formation water resistivity of each reservoir interval and the average porosity of each reservoir interval to obtain the corrected formation resistivity;

[0031] A chart establishment module, configured to establish an oil layer identification chart by using the test oil layer data, the full hydrocarbon peak-base ratio of each reservoir interval, and the corrected formation resistivity;

[0032] An identification module, configured to project data points of the layer to be evaluated onto the oil layer identification chart, and obtain an oil layer identification result according to the positions of the data points on the oil layer identification chart.

[0033] Optionally, the obtaining module is specifically configured to perform stratification processing on the target layer section to be evaluated by using an automatic stratification method with principal component activity weighting and variance optimization or a manual stratification method, so as to obtain a stratification result of the target layer section to be evaluated.

[0034] Optionally, the obtaining module is specifically configured as follows:

[0035] Obtain the formation resistivity log values of each reservoir section from the conventional logging data based on the stratification result of the target layer section to be evaluated;

[0036] Obtain the conventional porosity logging data of each reservoir section from the conventional logging data based on the stratification result of the target layer section to be evaluated, and calculate the average porosity of each reservoir section by using the conventional porosity logging data of each reservoir section;

[0037] Obtain the logging gas chromatography total hydrocarbon data of each reservoir section from the conventional logging data based on the stratification result of the target layer section to be evaluated, so as to determine the total hydrocarbon baseline value and the gas chromatography total hydrocarbon peak value of each reservoir section, and compare the total hydrocarbon baseline value and the gas chromatography total hydrocarbon peak value of each reservoir section to obtain the total hydrocarbon peak-base ratio of each reservoir section.

[0038] Optionally, the correction module is further specifically configured to: determine the formation water salinity of each reservoir section based on the stratification result of the target layer section to be evaluated and the water analysis data of the target layer section to be evaluated, so as to calculate the formation water resistivity of each reservoir section by using the formation water salinity of each reservoir section;

[0039] Or calculate the formation water resistivity of each reservoir section based on the stratification result of the target layer section to be evaluated and the spontaneous potential logging data.

[0040] Optionally, the chart establishment module is specifically configured as follows:

[0041] Establish a coordinate system of the corrected formation resistivity and the total hydrocarbon peak-base ratio of each reservoir section;

[0042] Project the test oil layer data onto the coordinate system to obtain a cross plot;

[0043] Divide the boundaries of the distribution of oil layer data points, water layer data points and oil-water coexisting layer data points according to the position characteristics of the distribution of oil layer and non-oil layer data points on the cross plot, and further establish the oil layer identification chart.

[0044] Optionally, the recognition module is specifically configured to: if the data point falls within the oil layer area of the oil layer identification chart, determine that the layer to be evaluated is an oil layer; if the data point falls within the water layer area of the oil layer identification chart, determine that the layer to be evaluated is a water layer; if the data point falls within the oil-water coexisting layer area of the oil layer identification chart, determine that the layer to be evaluated is an oil-water coexisting layer.

[0045] According to a third aspect of the present invention, there is provided an electronic device, which includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps in an oil layer identification method as described in the first aspect of the present invention above are implemented.

[0046] According to a fourth aspect of the present invention, there is provided a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps in an oil layer identification method as described in the first aspect of the present invention above are implemented.

[0047] According to a fifth aspect of the present invention, there is provided a computer program product, including a computer program. When the computer program is executed by a processor, the steps in an oil layer identification method as described in the first aspect of the present invention above are implemented.

[0048] According to an embodiment disclosed by the present invention, it has the following beneficial effects:

[0049] The oil layer identification method of the present invention fully considers the influence of formation water salinity and reservoir physical properties on formation resistivity, performs resistivity correction, and retains the useful oil and gas information in the resistivity curve; on the basis of using a single resistivity logging curve for oil layer identification by conventional methods, the sensitive parameter of the gas logging total hydrocarbon peak-base ratio is introduced, and oil layer identification is comprehensively carried out, improving the accuracy of oil layer identification. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The drawings incorporated in the specification and constituting a part of the specification illustrate embodiments of the present invention and, together with the description, are used to explain the principles of the present invention.

[0051] Figure 1 It is a schematic flowchart of an oil layer identification method provided according to an embodiment;

[0052] Figure 2 It is a schematic diagram of an oil layer identification chart in an oil layer identification method provided according to an embodiment Figure 1 ;

[0053] Figure 3 It is a schematic diagram of an oil layer identification chart in an oil layer identification method provided according to an embodiment Figure 2 ;

[0054] Figure 4 Schematic structural diagram of an oil reservoir identification system provided according to an embodiment;

[0055] Figure 5 Schematic diagram of an electronic device. Detailed implementation manners

[0056] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that: unless otherwise specifically stated, the relative arrangements of components and steps, numerical expressions and values set forth in these embodiments do not limit the scope of the present invention.

[0057] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way a limitation on the present invention or its application or use.

[0058] Technologies, methods and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods and devices should be regarded as part of the specification.

[0059] In all the examples shown and discussed herein, any specific values should be construed as merely exemplary and not as a limitation. Thus, other examples of the exemplary embodiments may have different values.

[0060] Embodiment 1

[0061] See Figure 1 As shown, this embodiment provides an oil reservoir identification method, which includes:

[0062] Step S1: Collect conventional logging data of the target interval to be evaluated;

[0063] It should be noted that in this embodiment, the collected conventional logging data include gas logging total hydrocarbon, resistivity, porosity, etc. of the interval in the research block that needs to be identified for oil reservoir (i.e., the target interval to be evaluated).

[0064] Step S2: Determine the formation resistivity logging value of each reservoir interval, the average porosity value of each reservoir interval, and the peak-base ratio of total hydrocarbon of each reservoir interval based on the conventional logging data and the stratification result of the target interval to be evaluated;

[0065] Optionally, in step S2 of the oil reservoir identification method of this embodiment, the target interval to be evaluated is stratified by using an automatic stratification method with principal component activity weighting and variance optimization or a manual stratification method to obtain the stratification result of the target interval to be evaluated.

[0066] It should be noted that the purpose of step S2 in this embodiment is to divide the reservoir for the target interval to be evaluated. For the primary interpretation without stratification, the reservoir needs to be divided. If the preliminary interpretation has been done and the interpreted layers have been divided, the stratification results can be directly used.

[0067] Optionally, step S2 in the oil layer identification method of this embodiment specifically includes:

[0068] Obtain the formation resistivity log value Rt of each reservoir segment from the conventional logging data based on the stratification results of the target interval to be evaluated;

[0069] Obtain the conventional porosity logging data of each reservoir segment from the conventional logging data based on the stratification results of the target interval to be evaluated, and calculate the average porosity Φ of each reservoir segment by using the conventional porosity logging data of each reservoir segment;

[0070] Obtain the logging gas measurement total hydrocarbon data of each reservoir segment from the conventional logging data based on the stratification results of the target interval to be evaluated to determine the total hydrocarbon baseline value TG0 and the gas measurement total hydrocarbon peak TG of each reservoir segment, and compare the total hydrocarbon baseline value TG0 and the gas measurement total hydrocarbon peak TG of each reservoir segment to obtain the total hydrocarbon peak-base ratio TG of each reservoir segment 比 .

[0071] Step S3: Correct the formation resistivity log value of each reservoir segment by using the formation water resistivity of each reservoir segment and the average porosity of each reservoir segment to obtain the corrected formation resistivity ΔRt;

[0072] Optionally, in step S3 of the oil layer identification method of this embodiment, determine the formation water salinity of each reservoir segment based on the stratification results of the target interval to be evaluated and the water analysis data of the target interval to be evaluated, so as to calculate the formation water resistivity Rw of each reservoir segment by using the formation water salinity of each reservoir segment;

[0073] Or calculate the formation water resistivity Rw of each reservoir segment based on the stratification results of the target interval to be evaluated and the spontaneous potential logging data.

[0074] It should be noted that in this embodiment, first obtain the formation water resistivity Rw of each reservoir. When there is water analysis data for the target interval to be evaluated, directly calculate the formation water resistivity Rw of each reservoir according to the formation water salinity of each reservoir segment determined by the water analysis data; when there is no water analysis data, calculate the formation water resistivity Rw of each reservoir according to the spontaneous potential logging data of the target interval to be evaluated. The calculation method refers to the method described on pages 39 to 41 of "Logging Principles and Comprehensive Interpretation" edited by Hong Youmi and published by China University of Petroleum Press.

[0075] In this embodiment, the purpose of calibration is to eliminate the influence of physical properties (mainly porosity) and formation water salinity on resistivity logging values through the ratio of formation resistivity to porosity and formation water resistivity.

[0076] Step S4: Establish an oil layer identification chart using the oil test layer data, the total hydrocarbon peak-base ratio of each reservoir section, and the calibrated formation resistivity.

[0077] Optionally, in the oil layer identification method of this embodiment, step S4 specifically includes:

[0078] Establish a coordinate system for the calibrated formation resistivity and the total hydrocarbon peak-base ratio of each reservoir section.

[0079] Project the oil test layer data onto the coordinate system to obtain a crossplot.

[0080] Based on the position characteristics of the data points of oil layers and non-oil layers distributed on the crossplot, divide the boundaries of the distribution of data points of oil layers, water layers, and oil-water layers, and then establish an oil layer identification chart.

[0081] In this embodiment, use the oil test layer data to make a ΔRt - total hydrocarbon peak-base ratio TG 比 crossplot, determine the distribution areas of data points of oil layers, oil-water layers, and water layers on the chart according to the data distribution characteristics, and establish an oil layer identification chart.

[0082] Step S5: Project the data points of the layer to be evaluated onto the oil layer identification chart, and obtain the oil layer identification result according to the position of the data points on the oil layer identification chart.

[0083] Optionally, in the oil layer identification method of this embodiment, in step S5, obtaining the oil layer identification result according to the position of the data points on the oil layer identification chart is specifically:

[0084] If the data point falls within the oil layer area of the oil layer identification chart, it is determined that the layer to be evaluated is an oil layer; if the data point falls within the water layer area of the oil layer identification chart, it is determined that the layer to be evaluated is a water layer; if the data point falls within the oil-water layer area of the oil layer identification chart, it is determined that the layer to be evaluated is an oil-water layer.

[0085] Specifically, in combination with Figures 2 - 4 Further detailed description of the oil layer identification method of the embodiment of the present invention:

[0086] (1) Collect the conventional logging data of the research block.

[0087] (2) Divide the reservoir, and automatically or manually layer according to the conventional logging data using the principal component activity weighting and variance optimization layering method;

[0088] If the research block has been interpreted once, the layering results of the first interpretation can be directly used.

[0089] (3) Calculate the formation water resistivity Rw.

[0090] Among the 46 oil testing layers of 17 wells in the research block, there are water analysis data for water layers and water-oil layers in the oil testing results. The formation water salinity is directly obtained from the water analysis data, and then the formation water resistivity is calculated. For the remaining reservoirs, the formation resistivity is calculated according to the method described on pages 39 to 41 of "Well Logging Principles and Comprehensive Interpretation" edited by Hong Youmi and published by China University of Petroleum Press. The results are shown in Table 1 below.

[0091] Table 1:

[0092]

[0093]

[0094] (4) Correct the formation resistivity Rt.

[0095] Read the formation resistivity logging value Rt of each reservoir and the average porosity Φ calculated from the conventional porosity logging data. Calculate the ratio of the formation resistivity Rt to the formation water resistivity Rw and the average porosity Φ to eliminate the influence of reservoir physical properties and formation water salinity changes on the resistivity, and obtain the corrected formation resistivity ΔRt;

[0096] (5) Determine the total hydrocarbon baseline value TG0 of each reservoir according to the total hydrocarbon data of gas logging in the logging of each reservoir section, and read the total hydrocarbon value TG of gas logging in the reservoir section. The two are compared to obtain the increase rate of gas logging total hydrocarbon, that is, the total hydrocarbon peak-base ratio TG 比 ;

[0097] (6) Establish an oil layer identification chart.

[0098] Establish a corrected coordinate system, plot the data of 46 oil testing layers obtained in (1) to (5) on this coordinate system, and make a cross plot of formation resistivity ΔRt - total hydrocarbon peak-base ratio TG of gas logging 比 See Figure 2 As shown. It can be seen from Figure 2 that the oil layer points are concentrated in the upper right area of the figure, the non-oil layer points are concentrated in the lower left area, and there is an obvious boundary between the oil layer and the non-oil layer area. Whether it is an oil layer can be judged according to this boundary and the position of the data points.

[0099] (7) Evaluate using the oil layer identification chart.

[0100] The data of two layers to be evaluated in Well A18 of the research block are shown in Table 2. Plot the data points of the layers to be evaluated on the oil layer identification chart. The results are shown in Figure 3, where the data points of the No. 1 layer to be evaluated fall in the oil layer area and are judged as oil layers, and the data points of the No. 2 layer to be evaluated fall in the non - oil layer area and are judged as non - oil layers. After oil testing, the No. 1 layer is an oil layer and the No. 2 layer is a water layer, verifying the effectiveness of the oil layer identification method based on the combination of resistivity, formation water salinity and total hydrocarbon in gas logging for oil layer identification.

[0101] Table 2:

[0102] Well Name Layer Number Oil Testing Conclusion Rt Φ Rw <![CDATA[TG 比 > ΔRt A18 1 Oil Layer 180.0 21.4 0.69 4.20 12.1 A18 2 Water Layer 60.0 16.0 0.54 2.60 7.0

[0103] In summary, the oil layer identification method of the embodiment of the present invention fully considers the influence of formation water salinity and reservoir physical properties on formation resistivity, performs resistivity correction, and retains the useful oil - gas - bearing information in the resistivity curve; on the basis of using a single resistivity logging curve for oil layer identification by the conventional method, the sensitive parameter of the peak - base ratio of total hydrocarbon in gas logging is introduced to comprehensively carry out oil layer identification, improving the accuracy of oil layer identification; in addition, this method is established based on a large number of oil layer test data through the research of a large number of logging data, so when using this method for oil layer identification, the result is more accurate.

[0104] Embodiment 2

[0105] See Figure 4 As shown, this embodiment provides an oil layer identification system 1, and the system 1 includes:

[0106] A collection module 10, configured to collect conventional logging data of the target layer section to be evaluated;

[0107] An acquisition module 20, configured to determine the formation resistivity logging values of each reservoir section, the average porosity of each reservoir section, and the peak - base ratio of total hydrocarbon of each reservoir section based on the conventional logging data and the layering result of the target layer section to be evaluated;

[0108] A correction module 30, configured to correct the formation resistivity logging values of each reservoir section by using the formation water resistivity of each reservoir section and the average porosity of each reservoir section to obtain the corrected formation resistivity;

[0109] A chart - building module 40, configured to establish an oil layer identification chart by using the data of the oil - testing layer, the peak - base ratio of total hydrocarbon of each reservoir section, and the corrected formation resistivity;

[0110] An identification module 50, configured to project the data points of the layer to be evaluated onto the oil layer identification chart and obtain the oil layer identification result according to the position of the data points on the oil layer identification chart.

[0111] Optionally, the acquisition module 20 in the oil layer identification system 1 of this embodiment is specifically configured to perform stratification processing on the target interval to be evaluated by using the automatic stratification method or the manual stratification method with principal component activity weighting and variance optimization, so as to obtain the stratification result of the target interval to be evaluated.

[0112] Optionally, the acquisition module 20 in the oil layer identification system 1 of this embodiment is specifically configured as follows:

[0113] Based on the stratification result of the target interval to be evaluated, obtain the formation resistivity log values of each reservoir interval from the conventional logging data;

[0114] Based on the stratification result of the target interval to be evaluated, obtain the conventional porosity logging data of each reservoir interval from the conventional logging data, and calculate the average porosity of each reservoir interval by using the conventional porosity logging data of each reservoir interval;

[0115] Based on the stratification result of the target interval to be evaluated, obtain the logging gas chromatography total hydrocarbon data of each reservoir interval from the conventional logging data to determine the total hydrocarbon baseline value and the gas chromatography total hydrocarbon peak value of each reservoir interval, and compare the total hydrocarbon baseline value and the gas chromatography total hydrocarbon peak value of each reservoir interval to obtain the total hydrocarbon peak-base ratio of each reservoir interval.

[0116] Optionally, the calibration module 30 in the oil layer identification system 1 of this embodiment is further specifically configured to: determine the formation water salinity of each reservoir interval based on the stratification result of the target interval to be evaluated and the water analysis data of the target interval to be evaluated, so as to calculate the formation water resistivity of each reservoir interval by using the formation water salinity of each reservoir interval;

[0117] Or calculate the formation water resistivity of each reservoir interval based on the stratification result of the target interval to be evaluated and the spontaneous potential logging data.

[0118] Optionally, the chart plate establishment module 40 in the oil layer identification system 1 of this embodiment is specifically configured as follows:

[0119] Establish a coordinate system of the calibrated formation resistivity and the total hydrocarbon peak-base ratio of each reservoir interval;

[0120] Project the well testing layer data onto the coordinate system to obtain a cross plot;

[0121] According to the position characteristics of the oil layer and non-oil layer data points distributed on the cross plot, divide the boundaries of the oil layer data points, water layer data points and oil-water coexisting layer data points, and then establish an oil layer identification chart plate.

[0122] Optionally, the recognition module 50 in the oil layer recognition system 1 of this embodiment is specifically configured as follows: if the data point falls within the oil layer area of the oil layer recognition chart, it is determined that the layer to be evaluated is an oil layer; if the data point falls within the water layer area of the oil layer recognition chart, it is determined that the layer to be evaluated is a water layer; if the data point falls within the oil-water coexisting layer area of the oil layer recognition chart, it is determined that the layer to be evaluated is an oil-water coexisting layer.

[0123] Embodiment 3

[0124] The present invention discloses an electronic device. The electronic device includes a memory and a processor. The memory stores a computer program. When the processor executes the computer program, the steps in an oil layer recognition method according to any one of the disclosed embodiments 1 of the present invention are implemented.

[0125] Figure 5 As shown in the structural diagram of an electronic device according to an embodiment of the present invention, Figure 5 the electronic device includes a processor, a memory, a communication interface, a display screen, and an input device connected through a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the electronic device is used to communicate with an external terminal in a wired or wireless manner. The wireless manner can be achieved through WIFI, a carrier network, near field communication (NFC), or other technologies. The display screen of the electronic device can be a liquid crystal display screen or an electronic ink display screen. The input device of the electronic device can be a touch layer covering the display screen, or a button, a trackball, or a touchpad provided on the housing of the electronic device, or an external keyboard, touchpad, or mouse, etc.

[0126] Those skilled in the art can understand that Figure 5 the structure shown in

[0127] Embodiment 4

[0128] The embodiment of the present invention discloses a computer-readable storage medium. A computer program is stored on the computer-readable storage medium. When the computer program is executed by a processor, the steps in an oil layer recognition method according to any one of the embodiments 1 of the present invention are implemented.

[0129] Embodiment 5

[0130] An embodiment of the present invention discloses a computer program product, including a computer program, which when executed by a processor implements the steps in an oil layer identification method according to any one of Embodiment 1 of the present invention.

[0131] Please note that the technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification. The above embodiments only express several implementation manners of the present application, and their descriptions are relatively specific and detailed, but they should not be construed as a limitation to the scope of the invention patent. It should be pointed out that for those of ordinary skill in the art, without departing from the concept of the present application, several deformations and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application should be subject to the appended claims.

[0132] The embodiments of the subject matter and the functional operations described in this specification can be implemented in the following: digital electronic circuits, computer software or firmware tangibly embodied, computer hardware including the structures disclosed in this specification and their structural equivalents, or a combination of one or more of them. The embodiments of the subject matter described in this specification can be implemented as one or more computer programs, that is, one or more modules in computer program instructions encoded on a tangible non-transitory program carrier to be executed by a data processing device or to control the operation of the data processing device. Alternatively or additionally, the program instructions can be encoded on a manually generated propagated signal, such as a machine-generated electrical, optical or electromagnetic signal, which is generated to encode information and transmit it to a suitable receiver device for execution by the data processing device. The computer storage medium can be a machine-readable storage device, a machine-readable storage substrate, a random or serial access memory device, or a combination of one or more of them.

[0133] The processes and logical flows described in this specification can be executed by one or more programmable computers executing one or more computer programs to perform corresponding functions by operating on input data and generating output. The processes and logical flows can also be executed by dedicated logic circuits, such as FPGA (Field Programmable Gate Array) or ASIC (Application Specific Integrated Circuit), and the device can also be implemented as dedicated logic circuits.

[0134] Computers suitable for executing computer programs include, for example, general and / or special-purpose microprocessors, or any other type of central processing unit. Generally, the central processing unit will receive instructions and data from read-only memory and / or random access memory. The basic components of a computer include a central processing unit for implementing or executing instructions and one or more memory devices for storing instructions and data. Generally, a computer will also include one or more mass storage devices for storing data, such as magnetic disks, magneto-optical disks, or optical disks, etc., or the computer will be operatively coupled to such mass storage devices to receive data therefrom or transfer data thereto, or both. However, a computer is not necessarily required to have such devices. In addition, a computer may be embedded in another device, such as a mobile phone, a personal digital assistant (PDA), a mobile audio or video player, a game console, a global positioning system (GPS) receiver, or a portable storage device such as a universal serial bus (USB) flash drive, to name just a few examples.

[0135] Computer-readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media, and memory devices, such as including semiconductor memory devices (e.g., EPROM, EEPROM, and flash memory devices), magnetic disks (e.g., internal hard disks or removable disks), magneto-optical disks, and CD ROM and DVD-ROM disks. The processor and memory may be supplemented by, or incorporated in, special logic circuitry.

[0136] Although this specification contains many specific implementation details, these should not be construed as limiting the scope of any invention or the scope of what is claimed, but rather as mainly describing the features of specific embodiments of a particular invention. Certain features described in multiple embodiments in this specification may also be implemented in combination in a single embodiment. On the other hand, the various features described in a single embodiment may also be implemented separately in multiple embodiments or in any suitable sub-combination. In addition, although features may act in certain combinations as described above and even be initially claimed as such, one or more features from a claimed combination may in some cases be removed from that combination, and the claimed combination may be directed to a sub-combination or a variation of a sub-combination.

[0137] Similarly, although operations are depicted in the drawings in a particular order, this should not be construed as requiring that the operations be performed in the particular order shown or sequentially, or that all illustrated operations be performed, to achieve the desired result. In some cases, multitasking and parallel processing may be advantageous. In addition, the separation of various system modules and components in the above embodiments should not be construed as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product or packaged into multiple software products.

[0138] Accordingly, specific embodiments of the subject matter have been described. Other embodiments are within the scope of the appended claims. In some cases, the acts recited in the claims can be performed in a different order and still achieve the desired result. In addition, the processes depicted in the figures are not necessarily in the particular order or sequential order shown to achieve the desired result. In some implementations, multitasking and parallel processing may be advantageous.

[0139] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the scope of protection of the present invention.

[0140] Although some specific embodiments of the present invention have been described in detail by way of examples, those skilled in the art should understand that the above examples are for illustrative purposes only and not for limiting the scope of the present invention. Those skilled in the art should understand that the above embodiments can be modified without departing from the scope and spirit of the present invention. The scope of the present invention is defined by the appended claims.

Claims

1. An oil reservoir identification method, characterized in that, The method includes: Step S1: Collect the conventional logging data of the target interval to be evaluated; Step S2: Determine the formation resistivity logging value, the average porosity value of each reservoir interval, and the peak-base ratio of total hydrocarbons of each reservoir interval based on the conventional logging data and the stratification result of the target interval to be evaluated; Step S3: Correct the formation resistivity logging value of each reservoir interval by using the formation water resistivity and the average porosity value of each reservoir interval to obtain the corrected formation resistivity; Step S4: Establish an oil layer identification chart using the oil test layer data, the peak-base ratio of total hydrocarbons of each reservoir interval, and the corrected formation resistivity; Step S5: Project the data points of the layer to be evaluated onto the oil layer identification chart, and obtain the oil layer identification result according to the position of the data points on the oil layer identification chart.

2. The oil reservoir identification method according to claim 1, characterized in that, In step S2, the target interval to be evaluated is stratified by using the automatic stratification method with principal component activity weighting and variance optimization or the manual stratification method to obtain the stratification result of the target interval to be evaluated.

3. The oil reservoir identification method according to claim 1, characterized in that, Step S2 specifically includes: Obtain the formation resistivity logging value of each reservoir interval from the conventional logging data based on the stratification result of the target interval to be evaluated; Obtain the conventional porosity logging data of each reservoir interval from the conventional logging data based on the stratification result of the target interval to be evaluated, and calculate the average porosity value of each reservoir interval by using the conventional porosity logging data of each reservoir interval; Obtain the logging gas measurement total hydrocarbon data of each reservoir interval from the conventional logging data based on the stratification result of the target interval to be evaluated to determine the total hydrocarbon baseline value and the gas measurement total hydrocarbon peak value of each reservoir interval, and compare the total hydrocarbon baseline value and the gas measurement total hydrocarbon peak value of each reservoir interval to obtain the peak-base ratio of total hydrocarbons of each reservoir interval.

4. The oil reservoir identification method according to claim 1, characterized in that, In step S3, determine the formation water salinity of each reservoir interval based on the stratification result of the target interval to be evaluated and the water analysis data of the target interval to be evaluated, so as to calculate the formation water resistivity of each reservoir interval by using the formation water salinity of each reservoir interval; Alternatively, calculate the formation water resistivity of each reservoir interval based on the stratification result of the target interval to be evaluated and the spontaneous potential logging data.

5. The oil reservoir identification method according to claim 1, characterized in that, Step S4 specifically includes: Establish a coordinate system of the corrected formation resistivity and the peak-base ratio of total hydrocarbons of each reservoir interval; Project the oil test layer data onto the coordinate system to obtain a cross plot; Divide the boundaries of the distribution of oil layer data points, water layer data points, and oil-water coexisting layer data points according to the position characteristics of the oil layer and non-oil layer data points on the cross plot, and then establish the oil layer identification chart.

6. The oil reservoir identification method according to claim 5, characterized in that, In step S5, the steps of obtaining the oil layer identification result according to the position of the data points on the oil layer identification chart specifically include: If the data point falls in the oil layer area of the oil layer identification chart, it is determined that the layer to be evaluated is an oil layer; if the data point falls in the water layer area of the oil layer identification chart, it is determined that the layer to be evaluated is a water layer; if the data point falls in the oil-water coexisting layer area of the oil layer identification chart, it is determined that the layer to be evaluated is an oil-water coexisting layer.

7. An oil reservoir identification system, characterized in that, The system includes: A collection module configured to collect the conventional logging data of the target interval to be evaluated; An acquisition module, configured to determine the formation resistivity log values of each reservoir section, the average porosity of each reservoir section, and the full hydrocarbon peak-base ratio of each reservoir section based on the conventional logging data and the stratification result of the target interval to be evaluated. A correction module, configured to correct the formation resistivity log values of each reservoir section by using the formation water resistivity of each reservoir section and the average porosity of each reservoir section to obtain the corrected formation resistivity. A chart establishment module, configured to establish an oil layer identification chart by using the test oil layer data, the full hydrocarbon peak-base ratio of each reservoir section, and the corrected formation resistivity. An identification module, configured to project the data points of the interval to be evaluated onto the oil layer identification chart and obtain the oil layer identification result according to the position of the data points on the oil layer identification chart.

8. The oil reservoir identification system according to claim 7, characterized in that, The acquisition module is used to perform stratification processing on the target interval to be evaluated by using an automatic stratification method with principal component activity weighting and variance optimization or a manual stratification method to obtain the stratification result of the target interval to be evaluated.

9. The oil reservoir identification system according to claim 7, characterized in that, The acquisition module specifically includes: An acquisition unit, specifically configured to acquire the formation resistivity log values of each reservoir section from the conventional logging data based on the stratification result of the target interval to be evaluated. A calculation unit, specifically configured to acquire the conventional porosity log data of each reservoir section from the conventional logging data based on the stratification result of the target interval to be evaluated, and calculate the average porosity of each reservoir section by using the conventional porosity log data of each reservoir section. A determination unit, specifically configured to acquire the logging gas logging full hydrocarbon data of each reservoir section from the conventional logging data based on the stratification result of the target interval to be evaluated to determine the full hydrocarbon baseline value and the gas logging full hydrocarbon peak value of each reservoir section, and compare the full hydrocarbon baseline value and the gas logging full hydrocarbon peak value of each reservoir section to obtain the full hydrocarbon peak-base ratio of each reservoir section.

10. The oil layer identification system according to claim 7, wherein The correction module is used to determine the formation water salinity of each reservoir section based on the stratification result of the target interval to be evaluated and the water analysis data of the target interval to be evaluated, so as to calculate the formation water resistivity of each reservoir section by using the formation water salinity of each reservoir section. Or, calculate the formation water resistivity of each reservoir section based on the stratification result of the target interval to be evaluated and the spontaneous potential logging data.

11. The oil layer identification system according to claim 7, wherein The chart establishment module specifically includes: A coordinate system establishment unit, specifically configured to establish a coordinate system of the corrected formation resistivity and the full hydrocarbon peak-base ratio of each reservoir section. A projection unit, specifically configured to project the test oil layer data onto the coordinate system to obtain a cross plot. A chart establishment unit, specifically configured to divide the boundaries of the distribution of oil layer data points, water layer data points, and oil-water coexisting layer data points according to the position characteristics of the distribution of oil layer and non-oil layer data points on the cross plot, and then establish the oil layer identification chart.

12. The oil layer identification system according to claim 11, wherein The identification module is specifically configured to: If the data point falls within the oil layer area of the oil layer identification chart, it is determined that the interval to be evaluated is an oil layer; if the data point falls within the water layer area of the oil layer identification chart, it is determined that the interval to be evaluated is a water layer. If the data point falls within the oil-water coexisting layer area of the oil layer identification chart, it is determined that the interval to be evaluated is an oil-water coexisting layer.

13. An electronic device, wherein The electronic device includes a memory and a processor. The memory stores a computer program. When the processor executes the computer program, the steps in the oil layer identification method according to any one of claims 1 to 6 are implemented.

14. A computer-readable storage medium, wherein A computer program is stored on the computer-readable storage medium. When the computer program is executed by a processor, the steps in the oil layer identification method according to any one of claims 1 to 6 are implemented.

15. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the steps in the oil layer identification method according to any one of claims 1 to 6 are implemented.

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