A method and apparatus for identifying out-of-place reservoirs in a conglomerate reservoir

Abstract

The application discloses a method and device for identifying out-of-table reservoirs in conglomerate reservoirs, and the method comprises the following steps: establishing a single-well comprehensive column chart according to logging curves, perforation data and production fluid profile data of a production well; determining an oil-producing perforation section according to the perforation data and the production fluid profile data, and counting logging curve values corresponding to the oil-producing perforation section to establish an oil layer interpretation chart; and re-interpreting early production wells in the production well by using the oil layer interpretation chart to identify out-of-table reservoirs.

Description

Technical Field

[0001] This article relates to the field of oil and gas development technology in conglomerate reservoirs, and in particular to a method and apparatus for identifying the outer reservoirs of conglomerate reservoirs. Background Technology

[0002] With the continuous development of oil and gas prediction and development technologies, the study of special oil and gas reservoirs such as conglomerate reservoirs has received increasing attention. The sedimentary process and tectonic setting of conglomerate formation determine the unique characteristics of conglomerate oil and gas reservoirs. Conglomerates are characterized by near-source and rapid accumulation, formed by multiple fan-shaped superpositions, with large vertical variations in sedimentary thickness, rapid changes in lithofacies, and low rock structure and composition maturity, resulting in extremely strong reservoir heterogeneity. In the mid-to-late stages of conglomerate reservoir development, with the application of new technologies such as multi-stage directional fracturing and the implementation of perforation measures, sand bodies that were previously interpreted as non-oil layers according to the standards of previous oil layer maps often exhibit good oil-producing capabilities after perforation. These reservoirs are often located in relatively low-energy environments compared to the main oil-bearing sections and are usually not included in the reserve table. Although these reservoirs are thin and have poor physical properties, they have significant reserve potential and are often connected to high-quality oil layers, thus greatly affecting the overall development effect of the oilfield.

[0003] The aforementioned problems severely restrict the tapping of remaining oil in the middle and late stages of development of conglomerate oilfields that have been developed with long-term water injection. Therefore, it is urgent to establish a method for identifying the outer reservoirs of conglomerate oilfields in order to solve the problems existing in tapping the remaining oil in the middle and late stages of development of conglomerate oilfields that have been developed with long-term water injection. Summary of the Invention

[0004] This application provides a method and apparatus for identifying off-surface reservoirs in conglomerate oil reservoirs. This method utilizes well logging data and production dynamic data for comprehensive analysis to establish an oil layer interpretation chart. Based on the established oil layer interpretation chart, the off-surface reservoirs of production targets are identified, thereby improving the accuracy of off-surface reservoir identification.

[0005] In a first aspect, this application provides a method for identifying off-surface reservoirs in conglomerate oil reservoirs. The method includes: establishing a comprehensive columnar section of a single well based on logging curves, perforation data, and production profile data of the production wells; determining the oil-producing perforation section based on the perforation data and production profile data, and statistically analyzing the logging curve values ​​corresponding to the oil-producing perforation section to establish an oil layer interpretation chart; and reinterpreting the early-stage production wells in the production wells using the oil layer interpretation chart to identify off-surface reservoirs.

[0006] Optionally, production wells can be classified according to the year they were put into production;

[0007] Wells are divided into early-stage production wells and late-stage production wells.

[0008] Optionally, the step of determining the oil-producing perforation section based on the perforation data and production profile data, and statistically analyzing the corresponding logging curve values ​​for the oil-producing perforation section to establish an oil reservoir interpretation chart includes:

[0009] The perforation section was not interpreted as an oil layer, but oil was observed on the production profile;

[0010] For the identified layers, the corresponding logging curve data and daily oil production are statistically analyzed.

[0011] Select strata that meet the daily oil production requirements;

[0012] Select a logging curve that is sensitive to the calibrated layer;

[0013] Cross-plot analysis was performed based on the identified sensitive logging curves to establish a new reservoir interpretation chart.

[0014] Optionally, the logging curves include: porosity, oil saturation, spontaneous potential, spontaneous gamma, well diameter, resistivity, sonic transit time, neutron, and the average value of the density curves in that layer.

[0015] Optionally, the logging curves sensitive to the calibrated formation are: porosity, resistivity, and oil saturation;

[0016] The new oil reservoir interpretation chart is as follows: the horizontal axis represents porosity, the vertical axis represents the resistivity curve, and the diagonal line represents water saturation.

[0017] Optionally, the process of selecting strata that meet the daily oil production criteria is as follows:

[0018] Calculate the daily oil production corresponding to each calibrated layer.

[0019] Establish a bar chart of daily oil production distribution for each calibrated stratum;

[0020] The lower limit of oil production is determined based on the daily oil production bar chart.

[0021] And filter out the layers with oil production limits greater than the lower limit.

[0022] Optionally, after establishing a new reservoir interpretation chart based on the determined sensitive logging curves, the method further includes:

[0023] The new reservoir interpretation chart was used to interpret the reservoirs of wells put into production later.

[0024] The reservoir interpretation results were compared with the production profiles of later-stage production wells;

[0025] The new oil layer interpretation chart was revised using the calibration results.

[0026] Optionally, the new reservoir interpretation chart is revised using the calibration results, including:

[0027] If the oil-producing layer in the reservoir interpretation results shows oil in the production profile of the wells put into production later, no correction will be made;

[0028] If the oil-producing layer in the oil layer interpretation results does not show oil on the production profile of the wells put into production later, the new oil layer interpretation chart will be iteratively revised.

[0029] If the reservoir is not interpreted as an oil reservoir in the interpretation results, but oil is shown in the production profile of the wells put into production later, then a new reservoir interpretation chart should be revised.

[0030] Secondly, embodiments of the present invention also provide an apparatus for identifying external reservoirs in conglomerate oil reservoirs. The apparatus includes a memory and a processor. The memory is used to store a program for identifying external reservoirs in conglomerate oil reservoirs, and the processor is used to read and execute the program for identifying external reservoirs in conglomerate oil reservoirs, and to execute the method described in any of the above embodiments.

[0031] Thirdly, embodiments of the present invention also provide a computer-readable storage medium storing a data processing program, wherein the data processing program is executed by a processor as described in any of the above embodiments, the method for identifying the outer reservoir of a conglomerate oil reservoir.

[0032] Compared with related technologies, this application provides a method and apparatus for identifying off-surface reservoirs in conglomerate oil reservoirs. The method includes: establishing a comprehensive columnar section of a single well based on logging curves, perforation data, and production profile data of the production well; determining the oil-producing perforation section based on the perforation data and production profile data, and statistically analyzing the logging curve values ​​corresponding to the oil-producing perforation section to establish an oil layer interpretation chart; and reinterpreting the early-stage production wells in the production wells using the oil layer interpretation chart to identify off-surface reservoirs. This application utilizes a comprehensive analysis of logging data and production dynamic data to establish an oil layer interpretation chart, and identifies off-surface reservoirs of production targets based on the established oil layer interpretation chart, thereby improving the accuracy of off-surface reservoir identification.

[0033] Other features and advantages of this application will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the application. Other advantages of this application can be realized and obtained by means of the solutions described in the description and the accompanying drawings. Attached Figure Description

[0034] The accompanying drawings are used to provide an understanding of the technical solutions of this application and constitute a part of the specification. They are used together with the embodiments of this application to explain the technical solutions of this application and do not constitute a limitation on the technical solutions of this application.

[0035] Figure 1This is a flowchart illustrating the method for identifying surface reservoirs in conglomerate oil reservoirs according to an embodiment of this application.

[0036] Figure 2 This is a schematic diagram of a device for identifying the outer reservoir of a conglomerate oil reservoir according to an embodiment of this application;

[0037] Figure 3 Flowchart of a method for identifying extra-surface reservoirs in conglomerate oil reservoirs in some exemplary embodiments;

[0038] Figure 4 This is a columnar section of early-stage production wells in some exemplary embodiments;

[0039] Figure 5 This is a columnar section of wells put into production in the later stages of some exemplary embodiments;

[0040] Figure 6 Here is a bar chart showing the cumulative oil production distribution in the perforation section in some exemplary embodiments;

[0041] Figure 7 Explanatory diagrams of the oil layer in some exemplary embodiments;

[0042] Figure 8 This is a map showing the distribution of reservoirs outside the surface of a single well in some exemplary embodiments. Detailed Implementation

[0043] This application describes several embodiments, but these descriptions are exemplary and not restrictive, and it will be apparent to those skilled in the art that many more embodiments and implementations are possible within the scope of the embodiments described herein. Although many possible combinations of features are shown in the drawings and discussed in the detailed description, many other combinations of the disclosed features are also possible. Unless specifically limited, any feature or element of any embodiment may be used in combination with, or may replace, any feature or element of any other embodiment.

[0044] This application includes and contemplates combinations of features and elements known to those skilled in the art. The embodiments, features, and elements disclosed in this application may also be combined with any conventional features or elements to form a unique inventive scheme as defined by the claims. Any feature or element of any embodiment may also be combined with features or elements from other inventive schemes to form another unique inventive scheme as defined by the claims. Therefore, it should be understood that any feature shown and / or discussed in this application may be implemented individually or in any suitable combination. Therefore, the embodiments are not limited except by the limitations imposed by the appended claims and their equivalents. Furthermore, various modifications and changes may be made within the scope of the appended claims.

[0045] Furthermore, in describing representative embodiments, the specification may have presented methods and / or processes as a specific sequence of steps. However, the method or process should not be limited to the specific order of steps described herein, to the extent that it does not depend on such a specific order. As will be understood by those skilled in the art, other sequences of steps are also possible. Therefore, the specific order of steps set forth in the specification should not be construed as a limitation of the claims. Moreover, the claims concerning the method and / or process should not be limited to the steps performed in the written order, and those skilled in the art will readily understand that these orders can be varied and still remain within the spirit and scope of the embodiments of this application.

[0046] Identifying the outer reservoirs of conglomerate oil reservoirs is a comprehensive analytical method, generally based on the logging response characteristics of development wells and combined with dynamic data from actual oilfield development. Extensive experience in conglomerate oil reservoir development has shown that, during long-term oilfield development, it is necessary to promptly understand the sedimentary and logging characteristics of the outer reservoirs to provide a basis for further development adjustments.

[0047] In the development of conglomerate reservoirs, research on their outer reservoirs mainly includes two aspects: sedimentary characteristic analysis and well logging curve analysis.

[0048] I. Sedimentary Characteristic Analysis Method

[0049] Sedimentary characteristic analysis utilizes core analysis data to classify and categorize reservoir sedimentary facies. It summarizes the oil-bearing occurrence and structural characteristics of outer-surface reservoir cores, and based on the planar geometry, distribution area, and combination with inner-surface layers of the outer layers, combined with their sedimentary genesis, it outlines the reservoir sedimentary model. By characterizing the reservoir sedimentary distribution features, it reflects the distribution of the outer layers and identifies key targets for future development adjustments.

[0050] This sedimentary characteristic analysis method has a long research cycle, lacks on-well prediction methods, and exhibits significant errors during the integration process. In oilfield production, it often cannot adapt to rapidly changing production conditions; therefore, a single sedimentary characteristic analysis method is difficult to widely apply in production practice for identifying subsurface reservoirs in conglomerate reservoirs.

[0051] II. Well Logging Curve Analysis Method

[0052] Well logging curve analysis, based on core observation and combined with comprehensive analysis of data from well logging and other sources, comprehensively reflects the various geological processes and genetic mechanisms of the sandstone and conglomerate reservoirs outside the surface of the study area. Through in-depth analysis of the geological characteristics and influencing factors of the outside reservoirs, well logging curve characteristics of the outside reservoirs are defined.

[0053] Well logging curve analysis is a geological analysis method based on well logging curves. Its technology mainly involves summarizing patterns, and these patterns often differ across different areas. Furthermore, the well logging response characteristics of conglomerate reservoirs are complex, and previous analysis results are limited. In the later stages of development, well logging curves are affected by development dynamics, which may lead to difficulties in standardizing curve characteristics. The lack of a unified judgment standard in conglomerate reservoirs hinders its widespread application.

[0054] This invention addresses the problems existing in the prior art. Considering the application of new technologies such as multi-stage fracturing and perforation repair in conglomerate reservoirs, sand bodies often appear as non-oil layers according to previous oil layer charts, yet exhibit good oil production capacity after perforation. These reservoirs are often sediments developed in relatively low-energy environments compared to the main oil-bearing layers and are usually not included in the reserve table. Although these reservoirs are thin and have poor physical properties, they have significant reserve potential and are often connected to high-quality oil layers, thus greatly affecting the overall development effect of the oilfield. This invention utilizes well logging curves and production dynamic data to comprehensively analyze the off-surface reservoirs, which are important production targets in the later stages of conglomerate reservoir development. It further refines the research scale of reservoir characteristics to the well logging curve characteristics of off-surface oil layers. This clarifies the distribution characteristics of off-surface reservoirs in developing conglomerate reservoirs, clearly resolves the relationship between on-surface and off-surface reservoirs, and accurately identifies off-surface reservoirs. The inventors of this application propose to use core data, conventional logging, and production dynamics data to describe the surface reservoirs of conglomerate oil reservoirs based on sedimentary characteristics and logging curve characteristics, thereby achieving the effect of understanding reservoir quality and identifying surface reservoirs.

[0055] This invention provides a method for identifying the outer reservoirs of conglomerate oil reservoirs, such as... Figure 1 As shown, the method includes steps S100-S120:

[0056] S100: Establish a comprehensive columnar section for a single well based on the logging curves, perforation data, and production profile data of the production well;

[0057] S110: Determine the oil-producing perforation section based on the perforation data and production profile data, and statistically analyze the corresponding logging curve values ​​for the oil-producing perforation section to establish an oil layer interpretation chart.

[0058] S120: Using the aforementioned reservoir interpretation chart, reinterpret the early-stage production wells in the production wells to identify off-surface reservoirs.

[0059] In one exemplary embodiment, production wells are classified according to the year they were put into production; they are divided into early-production wells and late-production wells. For example... Figure 4 The image shown is a columnar section of early-stage production wells, as follows: Figure 5The image shows a columnar section of wells put into production later in the series. New reservoir interpretation charts can be created based on these later-stage wells to reinterpret the earlier-stage wells and identify the outer reservoirs within the conglomerate oilfield.

[0060] In one exemplary embodiment, the oil-producing perforation section is determined based on perforation data and production profile data, and the corresponding logging curve values ​​for the oil-producing perforation section are statistically analyzed to establish an oil reservoir interpretation chart, including:

[0061] The first step is to identify the perforated sections that are not interpreted as oil layers but show oil production on the fluid production profile;

[0062] The second step is to statistically analyze the corresponding well logging curve data and daily oil production for the identified layers.

[0063] The third step is to screen the layers whose daily oil production meets the requirements.

[0064] The process of selecting strata that meet the daily oil production criteria can be as follows:

[0065] 1. Calculate the daily oil production corresponding to each calibrated layer segment.

[0066] 2. Establish a bar chart of daily oil production distribution for each calibrated layer;

[0067] 3. Determine the lower limit of oil production based on the daily oil production bar chart;

[0068] For example: Figure 6 The bar chart showing the cumulative oil production distribution in the perforated section indicates that the lower limit of oil production is greater than 0.5 tons per day.

[0069] 4. And screen for layers with oil production limits greater than the lower limit.

[0070] In this step, the daily oil production, porosity, oil saturation, spontaneous potential, spontaneous gamma, well diameter, resistivity, sonic transit time, neutrons, and density curve averages for each identified oil-producing perforation section are statistically analyzed. A bar chart of the daily oil production for each perforation section is then plotted to determine the stable lower limit of oil production. This step aims to eliminate the influence of vertically cleaved fractures on the perforation profile after fracturing and commissioning in conglomerate reservoirs. Vertically cleaved fractures in the formation can cause oil and gas to migrate from non-target perforation sections to the target perforation section. In this example, if... Figure 6 As shown, perforation sections with a daily oil production of less than or equal to 0.5 tons of oil are screened out, and perforation sections with a daily oil production of more than 0.5 tons of oil are selected.

[0071] Step 4: Compile and analyze the logging curves sensitive to the calibrated layers;

[0072] The logging curves include: porosity, oil saturation, spontaneous potential, spontaneous gamma, well diameter, resistivity, sonic transit time, neutrons, and the average value of the density curve in that layer.

[0073] Based on previous reservoir interpretation charts, a sensitive curve can be selected, that is, a sensitive logging curve from the crude oil reservoir interpretation chart can be used. In other words, if the sensitive logging curve from the crude oil reservoir interpretation chart is used, curve selection is not performed in this step, and the sensitive curve from the reservoir interpretation chart is used directly.

[0074] Alternatively, depending on the specific circumstances, cross-plot analysis can be used to reselect sensitive logging curves from existing ones. In this embodiment, all curves are sensitively correlated with the oil layer. The sensitive curves obtained from the cross-plot analysis are consistent with the sensitive curves of the oil layer chart. However, when creating a new interpretation chart, it is necessary to redetermine the lower limit value of the curves.

[0075] Step 5: Perform cross-plot analysis based on the identified sensitive logging curves to establish a new reservoir interpretation chart. For example... Figure 7 As shown, the new oil reservoir interpretation chart has the same sensitivity curve as the original chart; the only difference is the determined lower limit value. The interpretation chart includes three axes: the horizontal axis represents porosity, the vertical axis represents the resistivity curve, and the diagonal line represents water saturation (oil saturation = 100 - water saturation). It is necessary to determine the corresponding standard values ​​for porosity, resistivity, and oil saturation, and then determine the lower limit region based on these three standard values.

[0076] In one exemplary embodiment, after establishing a new reservoir interpretation chart based on the determined sensitive logging curves, the process of revising the new reservoir interpretation chart is as follows:

[0077] Step 1: Use the new reservoir interpretation chart to interpret the reservoirs of wells put into production later.

[0078] Step 2: Calibrate the reservoir interpretation results with the production profiles of later production wells;

[0079] Step 3: Use the calibration results to revise the new oil layer interpretation chart.

[0080] In step 3, the correction can be: if the oil-producing layer in the oil layer interpretation results shows oil in the production profile of the later production well, then no correction is made;

[0081] The correction can also be made as follows: if the oil-producing layer in the oil layer interpretation results does not show oil on the production profile of the later production wells, then continue to iterate and correct the new oil layer interpretation chart.

[0082] The correction can also be as follows: if the oil layer interpretation results do not show an oil layer, but the production profile of the wells put into production later shows oil, then a new oil layer interpretation chart should be revised.

[0083] The iterative correction of the reservoir interpretation chart here is equivalent to another operation of the entire off-surface reservoir identification system. For example, the current new reservoir interpretation chart is based on correcting the earlier chart (oil reservoir interpretation chart) using intermediate-term oil-producing segments; the subsequent iterative correction uses later-term oil-producing segments to correct the current reservoir chart (i.e., the new reservoir interpretation chart). If the reservoir interpretation results do not identify it as an oil-producing segment, but oil is shown in the production profile of later-stage producing wells, then the standard values ​​in the interpretation chart are adjusted, such as... Figure 7 As shown, the standards for interpreting oil layers on the chart have been relaxed.

[0084] The method for identifying surface reservoirs in conglomerate oil reservoirs implemented in this embodiment has the following technical advantages:

[0085] By utilizing wireline logging and production dynamics data, a comprehensive analysis was conducted on the outer reservoirs, a key production target in the mid-to-late stages of conglomerate reservoir development. This further refined the research scale of reservoir characteristics to the logging curve features of the outer oil layers. Consequently, the distribution characteristics of outer reservoirs in developing conglomerate reservoirs were clarified, the relationship between in-surface and outer reservoirs in conglomerate reservoirs was resolved, and the outer reservoirs were accurately identified.

[0086] Determining the development characteristics of conglomerate reservoirs can provide new insights for conglomerate oilfield development, thus providing a basis for further development adjustments. It also provides a basis for the development, recovery rate, and production capacity construction of reservoirs with similar characteristics. The prediction accuracy is high and can be applied to production practice.

[0087] This invention also provides an apparatus for identifying external reservoirs in conglomerate oil reservoirs. The apparatus includes a memory 200 and a processor 210. The memory is used to store a program for identifying external reservoirs in conglomerate oil reservoirs, and the processor is used to read and execute the program for identifying external reservoirs in conglomerate oil reservoirs, and to execute the method described in any of the above embodiments.

[0088] This invention also provides a computer-readable storage medium storing a data processing program, which is executed by a processor as described in any of the above embodiments, using the method for identifying the outer reservoir of a conglomerate oil reservoir.

[0089] Example 1

[0090] This example uses a method to identify the outer reservoirs of a conglomerate oilfield in the Junggar Basin to analyze the development of the conglomerate oilfield. The specific process is as follows: Figure 3 As shown, the steps are as follows:

[0091] Step 1: Classify production wells according to the year they were put into production.

[0092] The production wells are classified into different stages, including early-stage production wells and late-stage production wells.

[0093] This study area is a typical conglomerate reservoir. All production wells in the reservoir, which has been developed for more than 50 years, are classified into early production wells or late production wells according to the year they were put into production. Figure 4 A columnar section of early-stage production wells; Figure 5 This is a columnar section of wells that were put into production later.

[0094] Step 2: Draw a single-well columnar section.

[0095] After the single-well columnar section is completed, it is necessary to conduct off-site reservoir analysis in conjunction with long-term production dynamic data monitored during development. Production dynamic data includes production profiles and production data.

[0096] Off-surface reservoirs are those that were not identified in the original oil reservoir standards but were clearly identified as oil-producing zones in later development. Off-surface reservoir analysis here involves using production data to determine the reservoir recovery rate. If the total amount of oil produced is greater than the total amount believed to be stored underground in the early stages, it is necessary to re-evaluate the previously unidentified oil layers.

[0097] Step 3: Product profile calibration.

[0098] The production profile was correlated with the perforated section of the production well, and the corresponding sections were marked according to the crude oil reservoir interpretation chart (i.e., Figure 7 The crude oil reservoir standard does not explain the perforated section that produces oil but not oil.

[0099] Step 4: Perform data statistics on the oil outlet perforation section to determine the lower limit of oil output.

[0100] For each of the identified oil-producing perforated sections (i.e., perforated sections that produce oil but whose oil-producing layers have not been identified), the corresponding daily oil production, porosity, oil saturation, spontaneous potential, spontaneous gamma, well diameter, resistivity, sonic transit time, neutron, and density curve average values ​​for that perforated section are calculated.

[0101] Then, a bar chart was drawn to show the daily oil production of each perforation section, and the lower limit of stable oil production was found. For example... Figure 6 The bar chart showing the cumulative oil production distribution in the perforated section indicates that the lower limit of stable daily oil production is 0.5 tons.

[0102] This step is to eliminate the influence of vertically cleaved fractures on the profile of perforated sections in conglomerate reservoirs after fracturing and commissioning. Vertically cleaved fractures in the formation can cause oil and gas from non-target perforated sections to migrate to the target perforated sections. Therefore, perforated sections with a daily oil production of less than or equal to 0.5 tons of oil are screened out here.

[0103] Step 5: Create a new oil layer interpretation chart.

[0104] Based on the statistical results of step 4, the logging curve statistics are intersected to select sensitive curves. If the determined sensitive curve is the same as the sensitive curve of the oil reservoir interpretation chart, the sensitive curve of the oil reservoir interpretation chart is used. The standard value, i.e., the lower limit value, of each sensitive curve is determined, and a new oil reservoir interpretation chart is established, such as... Figure 7 The lower limit of the existing oil layer shown in the figure (i.e., the new reservoir interpretation plate). Figure 7 This is because the sensitivity curves of the crude oil reservoir interpretation chart and the new reservoir interpretation chart are the same, but the standard values ​​they determine are different. That is, the crude oil reservoir interpretation chart is the lower limit value of the crude oil layer, while the new reservoir interpretation chart is the lower limit value of the existing oil layer.

[0105] Step 6: Reinterpret the early-stage production wells using the new oil layer interpretation chart, compare the interpretation results with the crude oil layer interpretation chart, and identify the off-table reservoirs.

[0106] The oil layer division of early oil production wells was determined using the lower limit of the oil layer as defined by the crude oil layer interpretation chart. This step involves re-identifying the oil layers of the early oil production wells using the lower limit of the oil layer as defined by the new oil layer interpretation chart. The oil layer between the lower limit of the oil layer as defined by the new oil layer interpretation chart and the lower limit of the oil layer as defined by the crude oil layer interpretation chart is considered as an off-surface reservoir.

[0107] Step 7: Use the new reservoir interpretation chart to interpret the reservoirs of the wells put into production later, compare it with the production profile to calibrate the interpretation effect, and revise the new reservoir interpretation chart.

[0108] For example: A new oil layer interpretation chart is established using logging data from a batch of wells put into production in 2010. The lower limit of the oil layer is determined using the new oil layer interpretation chart. The lower limit of the oil layer determined by the new oil layer interpretation chart is used to identify the oil layer in wells put into production in 2015. If the identified oil layer shows oil on the production profile tested in the later development, it proves that the new interpretation chart does not need to be modified.

[0109] If the identified oil layer does not show oil in the production profile tested during later development, the interpretation chart for the oil layer continues to be iteratively revised. If the oil layer is not interpreted as an oil layer in the interpretation results but shows oil in the production profile of later production wells, the standard values ​​in the interpretation chart are adjusted, such as... Figure 7 As shown, the standards for interpreting oil layers on the chart have been relaxed.

[0110] Step 8: Identify the off-surface reservoir.

[0111] Based on the new reservoir interpretation chart obtained in step 7, the criteria for identifying off-surface reservoirs are determined. These criteria are then used to interpret the reservoirs above ground and identify off-surface reservoirs. For example... Figure 8 The image shows a schematic diagram of the external reservoir distribution of a single well.

[0112] The results of identifying reservoirs outside the surface layer provide a basis for the next step of developing and adjusting the well placement, drilling, and perforation plans.

[0113] This example demonstrates a method for identifying off-surface reservoirs in conglomerate oil reservoirs. Utilizing wireline logging and production dynamics data, it comprehensively analyzes off-surface reservoirs—key production targets in the mid-to-late stages of conglomerate oil reservoir development—further refining the research scale of reservoir characteristics down to the logging curve features of off-surface oil layers. By more accurately identifying off-surface reservoirs, we can understand the development characteristics of conglomerate oil reservoirs and provide new insights for conglomerate oilfield development, thus providing a basis for further development adjustments.

[0114] It will be understood by those skilled in the art that all or some of the steps, systems, or apparatuses disclosed above, and their functional modules / units, can be implemented as software, firmware, hardware, or suitable combinations thereof. In hardware implementations, the division between functional modules / units mentioned above does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed collaboratively by several physical components. Some or all components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit (ASIC). Such software may be distributed on a computer-readable medium, which may include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

Claims

1. A method for identifying surface reservoirs in conglomerate oil reservoirs, characterized in that, The method includes: Production wells are classified according to the year they were put into production, into early production wells and late production wells; A comprehensive columnar section of a single well is established based on the logging curves, perforation data, and production profile data of the production well. Based on the perforation data and production profile data, the oil-producing perforation section is determined, and the corresponding logging curve values ​​for the oil-producing perforation section are calculated to establish an oil reservoir interpretation chart. The reservoir interpretation chart is used to reinterpret early-stage production wells in the production wells and identify off-surface reservoirs; The process of determining the oil-producing perforation section based on perforation data, statistically analyzing the corresponding logging curve values ​​for the oil-producing perforation section, and establishing an oil reservoir interpretation chart includes: The perforation section was not interpreted as an oil layer, but oil was observed on the production profile; For the identified layers, the corresponding logging curve data and daily oil production are statistically analyzed. Selecting strata that meet the daily oil production requirements; Select a logging curve that is sensitive to the calibrated layer; Cross-plot analysis was performed based on the identified sensitive logging curves to establish a new reservoir interpretation chart; The process of selecting strata that meet the daily oil production requirements is as follows: The daily oil production corresponding to each calibrated layer is calculated separately; Establish a bar chart of daily oil production distribution for each calibrated stratum; The lower limit of oil production is determined based on the daily oil production bar chart. And filter out layers with oil production limits greater than the lower limit; After establishing a new reservoir interpretation chart based on the identified sensitive logging curves, the method also includes: The new reservoir interpretation chart was used to interpret the reservoirs of wells put into production later. The reservoir interpretation results were compared with the production profiles of later-stage production wells; The new oil layer interpretation chart was revised using the calibration results; The process of revising the new oil reservoir interpretation chart using the calibration results includes: If the oil-producing layer in the reservoir interpretation results shows oil in the production profile of the wells put into production later, no correction will be made; If the oil-producing layer in the reservoir interpretation results does not show oil on the production profile of the wells put into production later, the reservoir interpretation chart will be iteratively revised. If the reservoir is not interpreted as an oil reservoir in the interpretation results, but oil is shown in the production profile of the wells put into production later, then a new reservoir interpretation chart should be revised.

2. The method for identifying surface reservoirs in conglomerate oil reservoirs according to claim 1, characterized in that, The logging curves include: porosity, oil saturation, spontaneous potential, spontaneous gamma, well diameter, resistivity, sonic transit time, neutrons, and the average value of the density curve in that layer.

3. The method for identifying surface reservoirs in conglomerate oil reservoirs according to claim 2, characterized in that, The logging curves sensitive to the calibrated formation are: porosity, resistivity, and oil saturation; The new oil reservoir interpretation chart is as follows: the horizontal axis represents porosity, the vertical axis represents the resistivity curve, and the diagonal line represents water saturation.

4. The method for identifying surface reservoirs in conglomerate oil reservoirs according to claim 1, characterized in that, If the reservoir interpretation results do not identify it as an oil reservoir, but oil is shown in the production profile of later-produced wells, then a new reservoir interpretation chart should be revised, including: If the oil layer is not interpreted as an oil layer in the interpretation results, but oil is shown in the production profile of the wells put into production later, the standard values ​​in the interpretation chart should be adjusted.

5. The method for identifying surface reservoirs in conglomerate oil reservoirs according to claim 4, characterized in that, Adjustments were made to the standard values ​​in the explanatory diagrams, including: Relax the standards for oil layer interpretation charts.

6. A device for identifying the outer reservoir of a conglomerate oil reservoir, characterized in that, The device includes a memory and a processor; the memory is used to store a program for identifying conglomerate reservoirs outside the surface, and the processor is used to read and execute the program for identifying conglomerate reservoirs outside the surface, and to execute the method according to any one of claims 1-5.

7. A computer-readable storage medium storing a data processing program, the data processing program being executed by a processor as described in any one of claims 1-5, for identifying the outer reservoir of a conglomerate oil reservoir.

Images