Tight sandstone effective reservoir distribution prediction method, device, equipment and medium

Abstract

The invention discloses a compact sandstone effective reservoir distribution prediction method and device, equipment and a medium. The method comprises the following steps: recovering the ancient landform of a target work area, and determining a sand body distribution area in the target work area according to the altitude information of the ancient landform; determining a main body distribution area corresponding to each lithofacies type in the sand body distribution area, and determining a favorable lithofacies distribution area from the main body distribution areas corresponding to all lithofacies types according to a gas test result of a drilled well in the sand body distribution area; and sand body distribution prediction is carried out around the drilled well of the favorable lithofacies distribution area, a sand body distribution prediction result is determined, and an effective reservoir distribution area in the target work area is determined according to the sand body distribution prediction result. According to the technical scheme provided by the embodiment of the invention, the gas testing result of the drilled well is used as data support, and the obtained effective reservoir distribution prediction result is more scientific and accurate.

Description

Technical Field

[0001] This invention relates to the field of oil and gas development technology, and in particular to a method, apparatus, electronic device and storage medium for predicting the distribution of effective reservoirs in tight sandstone. Background Technology

[0002] Barrier coastal sand bodies are characterized by their considerable thickness and discontinuous distribution. However, these sand bodies, having undergone wave erosion, possess high quartz content and strong resistance to compaction, exhibiting good reservoir properties. Furthermore, their proximity to source rocks makes them suitable for forming high-abundance gas reservoirs. To identify favorable areas for the development of tight sandstone gas layers in barrier coasts and achieve efficient overall gas field development, an effective reservoir distribution prediction method for tight sandstone gas layers in barrier coasts is urgently needed. Summary of the Invention

[0003] This invention provides a method, device, electronic equipment, and storage medium for predicting the effective reservoir distribution in tight sandstone. Using the gas test results of drilled wells as data support, the predicted results of the effective reservoir distribution are more scientific and accurate.

[0004] According to one aspect of the present invention, a method for predicting the distribution of effective reservoirs in tight sandstone is provided, the method comprising:

[0005] The paleomorphology of the target work area is restored, and the distribution area of ​​sand bodies in the target work area is determined based on the elevation information of the paleomorphology.

[0006] Determine the main distribution area corresponding to each lithofacies type in the sand body distribution area, and based on the gas test results of the drilled wells in the sand body distribution area, determine the favorable lithofacies distribution area from the main distribution area corresponding to all lithofacies types;

[0007] Sand body distribution is predicted around the drilled wells in the favorable lithofacies distribution area. The predicted sand body distribution results are determined, and the effective reservoir distribution area in the target work area is determined based on the predicted sand body distribution results.

[0008] According to another aspect of the present invention, a device for predicting the distribution of effective reservoirs in tight sandstone is provided, the device comprising:

[0009] The sand body distribution area determination module is used to restore the paleomorphology of the target work area and determine the sand body distribution area within the target work area based on the elevation information of the paleomorphology.

[0010] The favorable lithofacies distribution determination module is used to determine the main distribution area corresponding to each lithofacies type in the sand body distribution area, and to determine the favorable lithofacies distribution area from the main distribution area corresponding to all lithofacies types based on the gas test results of the drilled wells in the sand body distribution area.

[0011] The distribution prediction result determination module is used to predict the sand body distribution around the drilled wells in the favorable lithofacies distribution area, determine the sand body distribution prediction result, and determine the effective reservoir distribution area in the target work area based on the sand body distribution prediction result.

[0012] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0013] At least one processor; and

[0014] A memory communicatively connected to the at least one processor; wherein,

[0015] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the tight sandstone effective reservoir distribution prediction method according to any embodiment of the present invention.

[0016] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the tight sandstone effective reservoir distribution prediction method according to any embodiment of the present invention.

[0017] The technical solution of this invention involves restoring the paleomorphology of the target work area, determining the sand body distribution area within the target work area based on the elevation information of the paleomorphology, determining the main distribution area corresponding to each lithofacies type within the sand body distribution area, and determining favorable lithofacies distribution areas from the main distribution areas corresponding to all lithofacies types based on the gas testing results of drilled wells within the sand body distribution area; predicting sand body distribution around the drilled wells in the favorable lithofacies distribution areas, determining the sand body distribution prediction results, and determining the effective reservoir distribution area within the target work area based on the sand body distribution prediction results. This technical solution of the present invention determines the sand body distribution area within the target work area by restoring the paleomorphology of the target work area, determines favorable lithofacies distribution areas within the sand body distribution area through lithofacies zoning and gas testing results, and predicts effective reservoir distribution within the favorable lithofacies distribution areas. Using the gas testing results of drilled wells as data support, the obtained effective reservoir distribution prediction results are more scientific and accurate.

[0018] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a flowchart of a method for predicting the distribution of effective reservoirs in tight sandstone according to Embodiment 1 of the present invention;

[0021] Figure 2 This is a schematic diagram of a sand body distribution area provided in Embodiment 1 of the present invention;

[0022] Figure 3 This is a flowchart of a method for predicting the distribution of effective reservoirs in tight sandstone according to Embodiment 2 of the present invention;

[0023] Figure 4 This is a schematic diagram of the main distribution area corresponding to various lithofacies types according to Embodiment 2 of the present invention;

[0024] Figure 5 This is a schematic diagram of an effective reservoir distribution area and well distribution according to Embodiment 2 of the present invention;

[0025] Figure 6 This is a schematic diagram of the structure of an effective reservoir distribution prediction device according to Embodiment 3 of the present invention;

[0026] Figure 7 This is a schematic diagram of the structure of an electronic device for implementing the method for predicting the distribution of effective tight sandstone reservoirs according to embodiments of the present invention. Detailed Implementation

[0027] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0029] Example 1

[0030] Figure 1 This is a flowchart illustrating a method for predicting the effective reservoir distribution in tight sandstone according to Embodiment 1 of the present invention. This embodiment is applicable to predicting the effective reservoir distribution of tight sandstone gas reservoirs in barrier coasts. The method can be executed by a device for predicting the effective reservoir distribution in tight sandstone, which can be implemented in hardware and / or software and can be configured in an electronic device. Figure 1 As shown, the method includes:

[0031] S110. Restore the ancient landforms of the target work area and determine the distribution area of ​​sand bodies in the target work area based on the elevation information of the ancient landforms.

[0032] The target work area is the barrier coast tight sandstone gas reservoir area where effective reservoir distribution is to be carried out. The sand bodies in the target work area are thick and discontinuous. However, these sand bodies have been washed by ocean waves, have high quartz content, strong resistance to compaction, and good reservoir properties. Moreover, they are adjacent to source rocks and can form high-abundance gas reservoirs.

[0033] In this embodiment of the invention, the paleomorphology of the target work area can be restored using the stratigraphic leveling method, or a three-dimensional geological model of the target work area can be constructed using a Geographic Information System (GIS) to invert the paleomorphology of the target work area and restore it. Then, based on the elevation information of the paleomorphology of the target work area, areas with a higher probability of sand body distribution can be identified as sand body distribution areas within the target work area.

[0034] Optionally, determining the sand body distribution area within the target work area based on the elevation information of the ancient landform includes: dividing the ancient landform into a plateau area, a slope area, and a depression area based on the elevation information of the ancient landform; and using the slope area in the ancient landform as the sand body distribution area within the target work area.

[0035] In paleolandforms, plateau regions refer to areas with relatively high elevations and relatively flat or gently undulating terrain. Slope regions refer to areas in paleolandforms where elevations gradually transition from high to low, typically located between plateau and depression regions. Depression regions are the lowest-lying and relatively low-lying areas in paleolandforms.

[0036] In this embodiment of the invention, after restoring the paleomorphology of the target work area, the paleomorphology can be first divided into plateau areas, slope areas, and depression areas based on its elevation information. Then, according to the principles of sedimentology and paleomorphology, it can be determined that slope areas, due to the terrain's slope and the transport effect of water flow, often become the main sites for sand body deposition and distribution. Therefore, the slope areas in the paleomorphology can be used as the sand body distribution areas within the target work area. Specifically, a paleomorphological map of the target work area can be drawn, and the slope areas within it can be delineated as the sand body distribution areas. For example, Figure 2 A schematic diagram of a sand body distribution area is shown, such as... Figure 2 As shown, the slope areas in the paleogeographic map are identified as the main sand body distribution areas.

[0037] S120. Determine the main distribution area corresponding to each lithofacies type in the sand body distribution area, and based on the gas test results of the drilled wells in the sand body distribution area, determine the favorable lithofacies distribution area from the main distribution area corresponding to all lithofacies types.

[0038] Among them, lithofacies type refers to the classification of sedimentary facies based on the characteristics of sediments such as lithology, grain size, sedimentary structure and color. Lithofacies is the main component of sedimentary facies and reflects the environment and conditions when sediments were formed.

[0039] Among them, the gas test results refer to a series of detailed data and information about underground oil, gas and water layers obtained through the gas test process. The gas test is a process that uses a set of specialized equipment and methods to directly test the downhole oil, gas and water layers and obtain relevant data on the production capacity, pressure, temperature and physical properties of oil, gas and water samples.

[0040] In this embodiment of the invention, the main distribution areas corresponding to each lithofacies type in the sand body distribution area can be determined first. Then, based on the gas testing results of the drilled wells in the sand body distribution area, favorable lithofacies distribution areas can be determined from the main distribution areas corresponding to all lithofacies types. Specifically, after determining the main distribution areas corresponding to each lithofacies type, the drilled wells in each main distribution area can be determined based on the location of the drilled wells in the sand body distribution area. Then, based on the gas testing results of the drilled wells in the sand body distribution area, the gas testing results of the drilled wells in each main distribution area can be determined. Finally, based on the gas testing results of the drilled wells in each main distribution area, favorable lithofacies distribution areas can be determined from the main distribution areas corresponding to all lithofacies types. By determining the main distribution areas corresponding to each lithofacies type in the sand body distribution area and determining the favorable lithofacies distribution areas in the main distribution areas based on the gas testing results of the drilled wells, the range of effective reservoir distribution prediction can be further narrowed. At the same time, with the gas testing results of the drilled wells as data support, the results obtained are more scientific and accurate.

[0041] S130. Predict the distribution of sand bodies around the drilled wells in the area with favorable lithofacies distribution, determine the prediction results of the sand body distribution, and determine the effective reservoir distribution area in the target work area based on the prediction results of the sand body distribution.

[0042] In this embodiment of the invention, sand body distribution can be predicted around drilled wells in areas with favorable lithofacies distribution, obtaining the size of the sand bodies around the drilled wells, and using this size as the predicted sand body distribution result. Then, based on the predicted sand body distribution result, the effective reservoir distribution area within the target work area is determined. Specifically, the target sand body distribution area can be determined based on the location of the drilled wells and the size of the sand bodies around them, and this target sand body distribution area is used as the effective reservoir distribution area. This completes the prediction of the effective reservoir distribution within the target work area, providing a basis and guidance for improving the development level and well location deployment of tight sandstone gas reservoirs in barrier coasts.

[0043] Optionally, sand body distribution prediction is performed around the drilled wells in the favorable lithofacies distribution area to determine the sand body distribution prediction results, including: performing well pattern analysis in the favorable lithofacies distribution area to determine the correlation between sand body size and sand body thickness; and determining the sand body size around the drilled wells in the favorable lithofacies distribution area based on the sand body thickness in the drilled wells in the favorable lithofacies distribution area and the correlation, as the sand body distribution prediction result.

[0044] Well network analysis refers to the process of finely characterizing and modeling reservoirs in the later stages of oil and gas field development through dense well network layout and detailed geological and logging data analysis. The aim is to improve the accuracy of reservoir description, optimize well network layout, and thus improve oil and gas recovery rate.

[0045] In this embodiment of the invention, after determining the favorable lithofacies distribution area in the main distribution area, well pattern analysis can be performed in the favorable lithofacies distribution area to determine the correlation between sand body size and sand body thickness in the favorable lithofacies distribution area. Based on the sand body thickness in the drilled wells in the favorable lithofacies distribution area and the correlation between sand body size and sand body thickness, the sand body size around the drilled wells in the favorable lithofacies distribution area is determined as the sand body distribution prediction result.

[0046] Optionally, well pattern analysis is performed in the favorable lithofacies distribution area to determine the correlation between sand body size and sand body thickness, including: determining the length, width, and distribution characteristics of sand bodies in the favorable lithofacies distribution area based on seismic data of the target work area and well logging curves of drilled wells in the favorable lithofacies distribution area; and determining the correlation between sand body size and sand body thickness based on the length, width, and distribution characteristics of the sand bodies.

[0047] Among them, the distribution characteristics of sand bodies refer to the characteristics of sand bodies in underground space, such as distribution, morphology, scale, continuity, distribution direction and thickness variation. By analyzing the distribution characteristics of sand bodies in detail, we can gain a deeper understanding of the sedimentary process and sedimentary environment, and provide important basis for oil and gas exploration and development.

[0048] In this embodiment of the invention, the length, width and distribution characteristics of sand bodies in the favorable lithofacies distribution area can be described in detail based on the seismic data of the target work area and the logging curves of the drilled wells in the favorable lithofacies distribution area. The correlation between the length and width of the sand body and the thickness of the sand body can be determined, that is, the correlation between the scale of the sand body and the thickness of the sand body, so as to provide a basis for the scale of the sand body around the drilled wells in the subsequent favorable lithofacies distribution area.

[0049] The technical solution of this invention involves restoring the paleomorphology of the target work area, determining the sand body distribution area within the target work area based on the elevation information of the paleomorphology, determining the main distribution area corresponding to each lithofacies type within the sand body distribution area, and determining favorable lithofacies distribution areas from the main distribution areas corresponding to all lithofacies types based on the gas testing results of drilled wells within the sand body distribution area; predicting the sand body distribution around the drilled wells in the favorable lithofacies distribution areas, determining the sand body distribution prediction results, and determining the effective reservoir distribution area within the target work area based on the sand body distribution prediction results. This technical solution of the present invention determines the sand body distribution area within the target work area by restoring the paleomorphology of the target work area, determines the favorable lithofacies distribution areas within the sand body distribution area through lithofacies zoning and gas testing results, and predicts the effective reservoir distribution within the favorable lithofacies distribution areas. Using the gas testing results of drilled wells as data support, the obtained effective reservoir distribution prediction results are more scientific and accurate.

[0050] Example 2

[0051] Figure 3 This is a flowchart of a method for predicting the distribution of effective tight sandstone reservoirs according to Embodiment 2 of the present invention. This embodiment is an optimization based on the above embodiments; schemes not described in detail in this embodiment are described in the above embodiments. Figure 3 As shown, the method includes:

[0052] S210. Restore the ancient landforms of the target work area and determine the distribution area of ​​sand bodies in the target work area based on the elevation information of the ancient landforms.

[0053] S220. Determine the various lithofacies types involved in the target work area, and determine the logging curve identification template corresponding to each lithofacies type based on the logging data of the drilled wells in the target work area.

[0054] In this process, identifying the various lithofacies types involved in the target work area involves taking a sufficient number of random samples of rocks within the target work area, conducting core observation and thin section identification on the randomly sampled rock samples, determining the rock types developed in the target work area based on the results of core observation and thin section identification, and then analyzing the pore structure and physical properties of rocks of different rock types, including pore type, pore throat characteristics, porosity and permeability, to further subdivide the rock types and obtain different lithofacies types.

[0055] In this embodiment of the invention, the various lithofacies types involved in the target work area can be determined first, and then the logging curve identification templates corresponding to each lithofacies type can be determined based on the logging data of the drilled wells in the target work area. Specifically, logging data can be used to perform logging identification on different lithofacies types to determine logging curve identification templates for different lithofacies. Among them, the logging curves mainly use acoustic transit time (AC), natural gamma ray (GR), density (DEN), and resistivity (RT) logging curves.

[0056] S230. Identify the lithofacies of drilled wells within the sand body distribution area based on the well logging curve identification template, and determine the main distribution area corresponding to each lithofacies type within the sand body distribution area.

[0057] In this embodiment of the invention, after determining the logging curve identification templates corresponding to each lithofacies type, the lithofacies of drilled wells within the sand body distribution area can be identified based on the logging curve identification templates to determine the main distribution area corresponding to each lithofacies type within the sand body distribution area. Specifically, the lithofacies type corresponding to the drilled wells within the sand body distribution area can be determined based on the logging curve identification templates and the logging curves of drilled wells within the sand body distribution area. Then, based on the location of the drilled wells of each lithofacies type within the sand body distribution area, the main distribution area corresponding to each lithofacies type within the sand body distribution area can be determined. For example, Figure 4 This diagram illustrates the main distribution areas corresponding to various lithofacies types, such as... Figure 4As shown in the figure, there are two main lithofacies types, corresponding to Type I and Type II areas respectively. Type I areas mainly develop grayish-white quartz sandstone, which has high structural maturity and compositional maturity, high porosity, and is easy to form favorable tight gas reservoirs. Type II areas mainly develop gray quartz clastic sandstone, which has medium structural maturity and compositional maturity, low porosity, and is not easy to form favorable tight gas reservoirs.

[0058] S240. Obtain the gas test results of drilled wells in the sand body distribution area, and determine the average daily gas production value corresponding to each lithofacies type based on the gas test results.

[0059] In this embodiment of the invention, gas testing results from drilled wells in the sand body distribution area can be obtained to conduct daily gas production analysis for each lithofacies type. Specifically, the average daily gas production for each lithofacies type can be determined based on the gas testing results. It should be noted that the analysis indicators can be set according to actual conditions, and this embodiment of the invention does not limit this. Here, the average daily gas production is used as the analysis indicator to explain the scheme.

[0060] S250. Based on the average daily gas production, determine the favorable lithofacies type from each lithofacies type, and take the main distribution area corresponding to the favorable lithofacies type as the favorable lithofacies distribution area.

[0061] In this embodiment of the invention, favorable lithofacies types can be determined from each lithofacies type based on the average daily gas production value corresponding to each lithofacies type. For example, the lithofacies type with the highest average daily gas production value can be identified as the favorable lithofacies type. Then, the main distribution area corresponding to the favorable lithofacies type is determined as the favorable lithofacies distribution area.

[0062] S260. Predict the distribution of sand bodies around the drilled wells in the area with favorable lithofacies distribution, determine the prediction results of the sand body distribution, and determine the effective reservoir distribution area in the target work area based on the prediction results of the sand body distribution.

[0063] Optionally, after determining the effective reservoir distribution area within the target work area based on the sand body distribution prediction results, the method further includes: determining the drilling location of the well to be drilled based on the effective reservoir distribution area, and performing drilling operations on the well to be drilled based on the drilling location; and verifying the effective reservoir distribution area based on the drilling results of the well to be drilled.

[0064] In this embodiment of the invention, after determining the effective reservoir distribution area within the target work area, the drilling location of the well to be drilled can be determined based on the predicted effective reservoir distribution area, and drilling operations can be performed at this location to improve the drilling success rate. After completing the drilling operation of the well to be drilled, the effective reservoir distribution area can also be verified based on the drilling results. For example, Figure 5A schematic diagram of an effective reservoir distribution area and well distribution is shown, as follows: Figure 5 As shown in the figure, the skeleton wells are the drilled wells, and the test wells are the wells to be drilled. The dark areas represent the effective reservoir distribution areas. There are a total of 30 test wells in the figure, including 19 located in the slope area, 6 in the platform area, and 5 in the depression area. The drilling results of the test wells in the figure are shown in Table 1 below.

[0065] Table 1. Statistics of drilling results in the test wells

[0066]

[0067]

[0068] The statistical results in the table above show that the drilling encounter rate of the test wells reached 70%, indicating that the technical solution of the present invention can accurately predict the effective reservoir distribution area, improve the gas layer drilling encounter rate, and guide the relevant gas fields to achieve overall efficient development.

[0069] Optionally, after completing the drilling operation of the well to be drilled, the well to be drilled can be treated as a drilled well, the data of the well to be drilled can be incorporated into the data of the drilled well, and the effective reservoir distribution area can be adjusted according to the newly added data to gradually improve the accuracy of the prediction of the effective reservoir distribution.

[0070] The technical solution of this invention involves: restoring the paleomorphology of the target work area; determining the sand body distribution area within the target work area based on the elevation information of the paleomorphology; identifying each lithofacies type involved in the target work area and determining the logging curve identification template corresponding to each lithofacies type based on the logging data of the drilled wells in the target work area; identifying the lithofacies of the drilled wells within the sand body distribution area based on the logging curve identification template, and determining the main distribution area corresponding to each lithofacies type within the sand body distribution area; obtaining the gas testing results of the drilled wells within the sand body distribution area, and determining the average daily gas production corresponding to each lithofacies type based on the gas testing results; determining the favorable lithofacies type from each lithofacies type based on the average daily gas production, and taking the main distribution area corresponding to the favorable lithofacies type as the favorable lithofacies distribution area; predicting the sand body distribution around the drilled wells in the favorable lithofacies distribution area, determining the sand body distribution prediction results, and determining the effective reservoir distribution area within the target work area based on the sand body distribution prediction results. The technical solution of this invention restores the paleogeography of the target work area to determine the distribution area of ​​sand bodies within the target work area, and determines the favorable facies distribution area within the sand body distribution area through lithofacies zoning and gas testing results. Effective reservoir distribution is predicted in the favorable facies distribution area, and the gas testing results of drilled wells are used as data support, resulting in more scientific and accurate prediction results of effective reservoir distribution.

[0071] Example 3

[0072] Figure 6 This is a schematic diagram of a device for predicting the distribution of effective tight sandstone reservoirs, provided in Embodiment 3 of the present invention. Figure 6 As shown, the device includes:

[0073] The sand body distribution area determination module 310 is used to restore the paleomorphology of the target work area and determine the sand body distribution area within the target work area based on the elevation information of the paleomorphology.

[0074] The favorable lithofacies distribution determination module 320 is used to determine the main distribution area corresponding to each lithofacies type in the sand body distribution area, and to determine the favorable lithofacies distribution area from the main distribution area corresponding to all lithofacies types based on the gas test results of the drilled wells in the sand body distribution area.

[0075] The distribution prediction result determination module 330 is used to predict the sand body distribution around the drilled well in the favorable lithofacies distribution area, determine the sand body distribution prediction result, and determine the effective reservoir distribution area in the target work area based on the sand body distribution prediction result.

[0076] Optionally, the sand body distribution area determination module 310 includes:

[0077] The paleomorphological division unit is used to divide the paleomorphological features into plateau regions, slope regions, and depression regions based on the elevation information of the paleomorphological features.

[0078] The sand body distribution area determination unit is used to identify the slope area in the paleogeography as the sand body distribution area within the target work area.

[0079] Optional, the favorable lithofacies distribution determination module 320 includes:

[0080] The identification template determination unit is used to determine the various lithofacies types involved in the target work area, and to determine the logging curve identification template corresponding to each lithofacies type based on the logging data of the drilled wells in the target work area.

[0081] The main distribution area determination unit is used to identify the lithofacies of drilled wells within the sand body distribution area based on the well logging curve identification template, and to determine the main distribution area corresponding to each lithofacies type within the sand body distribution area.

[0082] Optionally, the favorable lithofacies distribution determination module 320 includes:

[0083] The daily gas production average value determination unit is used to obtain the gas test results of the drilled wells in the sand body distribution area, and determine the daily gas production average value corresponding to each lithofacies type based on the gas test results.

[0084] The favorable lithofacies distribution determination unit is used to determine the favorable lithofacies type from the various lithofacies types based on the average daily gas production, and to take the main distribution area corresponding to the favorable lithofacies type as the favorable lithofacies distribution area.

[0085] Optionally, the distribution prediction result determination module 330 includes:

[0086] The correlation determination unit is used to perform well pattern analysis in the favorable lithofacies distribution area and determine the correlation between sand body size and sand body thickness;

[0087] The distribution prediction result determination unit is used to determine the sand body size around the drilled wells in the favorable lithofacies distribution area based on the sand body thickness in the drilled wells in the favorable lithofacies distribution area and the correlation relationship, as the sand body distribution prediction result.

[0088] Optionally, the association determination unit includes:

[0089] The sand body characteristic determination subunit is used to determine the length, width, and distribution characteristics of sand bodies in the favorable lithofacies distribution area based on the seismic data of the target work area and the well logging curves of the drilled wells in the favorable lithofacies distribution area.

[0090] The correlation determination sub-unit is used to determine the correlation between the sand body size and the sand body thickness based on the length, width and distribution characteristics of the sand body.

[0091] Optionally, after determining the effective reservoir distribution area within the target work area based on the sand body distribution prediction results, the method further includes: determining the drilling location of the well to be drilled based on the effective reservoir distribution area, and performing drilling operations on the well to be drilled based on the drilling location; and verifying the effective reservoir distribution area based on the drilling results of the well to be drilled.

[0092] The tight sandstone effective reservoir distribution prediction device provided in the embodiments of the present invention can execute the tight sandstone effective reservoir distribution prediction method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method.

[0093] Example 4

[0094] Figure 7A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0095] like Figure 7 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0096] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0097] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, central processing unit (CPU), graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as methods for predicting the effective reservoir distribution in tight sandstone.

[0098] In some embodiments, the method for predicting the distribution of effective tight sandstone reservoirs can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the method for predicting the distribution of effective tight sandstone reservoirs described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to perform the method for predicting the distribution of effective tight sandstone reservoirs by any other suitable means (e.g., by means of firmware).

[0099] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0100] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0101] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0102] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0103] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0104] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0105] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0106] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for predicting the distribution of effective reservoirs in tight sandstone, characterized in that, The method includes: The paleomorphology of the target work area is restored, and the distribution area of ​​sand bodies in the target work area is determined based on the elevation information of the paleomorphology. Determine the main distribution area corresponding to each lithofacies type in the sand body distribution area, and based on the gas test results of the drilled wells in the sand body distribution area, determine the favorable lithofacies distribution area from the main distribution area corresponding to all lithofacies types; Sand body distribution is predicted around the drilled wells in the favorable lithofacies distribution area. The predicted sand body distribution results are determined, and the effective reservoir distribution area in the target work area is determined based on the predicted sand body distribution results.

2. The method according to claim 1, characterized in that, The distribution area of ​​sand bodies within the target work area is determined based on the elevation information of the ancient landforms, including: Based on the elevation information of the ancient landforms, the ancient landforms are divided into plateau regions, slope regions, and depression regions; The slope area in the ancient landform is taken as the sand body distribution area in the target work area.

3. The method according to claim 1, characterized in that, Determining the main distribution areas corresponding to each lithofacies type in the sand body distribution area includes: Identify the various lithofacies types involved in the target work area, and determine the logging curve identification template corresponding to each lithofacies type based on the logging data of the drilled wells in the target work area; The well logging curve identification template is used to identify the lithofacies of the drilled wells within the sand body distribution area, and to determine the main distribution area corresponding to each lithofacies type within the sand body distribution area.

4. The method according to claim 1, characterized in that, Based on the gas testing results of drilled wells in the sand body distribution area, favorable lithofacies distribution areas are determined from the main distribution areas corresponding to all lithofacies types, including: Obtain the gas test results of the drilled wells in the sand body distribution area, and determine the average daily gas production value corresponding to each lithofacies type based on the gas test results; Based on the average daily gas production, favorable lithofacies types are determined from each lithofacies type, and the main distribution area corresponding to the favorable lithofacies type is taken as the favorable lithofacies distribution area.

5. The method according to claim 1, characterized in that, Sand body distribution prediction is performed around drilled wells in the favorable lithofacies distribution area, and the sand body distribution prediction results are determined, including: Well pattern analysis was conducted in the favorable lithofacies distribution area to determine the correlation between sand body size and sand body thickness; Based on the thickness of sand bodies in the drilled wells in the favorable lithofacies distribution area and the correlation, the size of the sand bodies around the drilled wells in the favorable lithofacies distribution area is determined as the sand body distribution prediction result.

6. The method according to claim 5, characterized in that, Well pattern analysis was conducted in the favorable lithofacies distribution area to determine the correlation between sand body size and sand body thickness, including: Based on the seismic data of the target work area and the well logging curves of the drilled wells in the favorable lithofacies distribution area, determine the length, width, and distribution characteristics of the sand bodies in the favorable lithofacies distribution area; Based on the length, width, and distribution characteristics of the sand body, the correlation between the sand body size and the sand body thickness is determined.

7. The method according to claim 1, characterized in that, After determining the effective reservoir distribution area within the target work area based on the sand body distribution prediction results, the method further includes: The drilling location of the well to be drilled is determined based on the effective reservoir distribution area, and the drilling operation of the well to be drilled is carried out based on the drilling location; The effective reservoir distribution area is verified based on the drilling results of the well to be drilled.

8. A device for predicting the distribution of effective reservoirs in tight sandstone, characterized in that, The device includes: The sand body distribution area determination module is used to restore the paleomorphology of the target work area and determine the sand body distribution area within the target work area based on the elevation information of the paleomorphology. The favorable lithofacies distribution determination module is used to determine the main distribution area corresponding to each lithofacies type in the sand body distribution area, and to determine the favorable lithofacies distribution area from the main distribution area corresponding to all lithofacies types based on the gas test results of the drilled wells in the sand body distribution area. The distribution prediction result determination module is used to predict the sand body distribution around the drilled wells in the favorable lithofacies distribution area, determine the sand body distribution prediction result, and determine the effective reservoir distribution area in the target work area based on the sand body distribution prediction result.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the effective reservoir distribution prediction method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the effective reservoir distribution prediction method according to any one of claims 1-7.

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