Ancient buried hill reservoir facies belt division method, device, equipment and medium

Abstract

The invention discloses an ancient buried hill reservoir facies belt division method, device and equipment and a medium, and relates to the technical field of well logging. The method comprises the following steps: continuously sampling the drilling rock debris of the ancient buried hill reservoir, and preparing a rock debris sample by using the collected rock debris; scanning the rock debris sample by using a scanning electron microscope to obtain a corresponding scanning image; and according to the scanning image, respectively determining lithologic characteristics, a preset weathering intensity index and an average surface porosity corresponding to the rock debris sample, and based on the lithologic characteristics, the preset weathering intensity index and the average surface porosity, identifying the reservoir type of the ancient buried hill. According to the technical scheme, the rock type and the pore information are quantitatively calculated through fine identification and analysis of the rock debris, and the related information of the reservoir is visually obtained, so that the accuracy and the reliability of reservoir zone identification are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of mud logging, and particularly relates to a method, device, equipment and medium for dividing the reservoir facies zones of buried hill. Background Art

[0002] As an important type of reservoir, the scale and quality of metamorphic buried hill directly determine the enrichment degree of oil and gas. At present, a large number of studies have achieved relatively in-depth results regarding the reservoir facies zones of buried hill. However, under the existing technical conditions, when dividing the reservoir facies zones of buried hill, it is necessary to carry out complicated test experiments and detailed analysis by means of core samples to achieve lithology identification and reservoir space identification, and a series of problems have also arisen in this process. On the one hand, the analysis of buried hill reservoirs highly depends on a large amount of core data and requires a large amount of lithology analysis work. Not only is the cost of lithology identification high, but the efficiency is also low. Moreover, the lithology information of the entire well section cannot be obtained only based on the core, and it is not applicable to non-core sections, making it even more difficult to obtain the complete information of the entire buried hill. On the other hand, relying solely on logging analysis lacks sufficient geological basis and requires a large amount of effort in geological analysis and response analysis of logging signals. In addition, logging has always been a thorny problem in lithology identification inside the buried hill and is difficult to be effectively solved. Therefore, constructing an efficient and accurate scheme for dividing the reservoir facies zones of buried hill is of great significance for effectively improving the exploration efficiency of metamorphic buried hill oil reservoirs. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to provide a method, device, equipment and medium for dividing the reservoir facies zones of buried hill, which can utilize the fine identification and analysis of cuttings to quantitatively calculate the rock type and pore information, and directly obtain the relevant information of the reservoir, thereby greatly improving the accuracy and reliability of reservoir zone identification. The specific scheme is as follows:

[0004] In the first aspect, the present application discloses a method for dividing the reservoir facies zones of buried hill, including:

[0005] Continuously sampling the drilling cuttings of the buried hill reservoir and preparing cuttings samples by using the collected cuttings;

[0006] Scanning the cuttings samples by using a scanning electron microscope to obtain corresponding scanning images;

[0007] Respectively determining the lithological characteristics, preset weathering intensity index and average pore face ratio corresponding to the cuttings samples according to the scanning images, and identifying the reservoir types of the buried hill based on the lithological characteristics, the preset weathering intensity index and the average pore face ratio.

[0008] Optionally, the continuously sampling the drilling cuttings of the buried hill reservoir and preparing cuttings samples by using the collected cuttings includes:

[0009] Continuously sample the drilling cuttings of the buried hill reservoir based on a preset sampling interval, and successively clean and dry the collected cuttings to obtain the dried cuttings;

[0010] Sieve the dried cuttings with sieves of different mesh sizes respectively to screen out the cuttings particles that meet the preset particle size range;

[0011] Make the cuttings particles into a target diameter test sample to obtain the cuttings sample.

[0012] Optionally, scanning the cuttings sample with a scanning electron microscope to obtain corresponding scanning images, including:

[0013] Scanning the cuttings sample with a scanning electron microscope to obtain the backscattered image, mineral distribution image and mineral element information of the cuttings sample.

[0014] Optionally, determining the lithological characteristics corresponding to the cuttings sample according to the scanning image, including:

[0015] Determine the lithological characteristics corresponding to the cuttings sample by using the mineral element information;

[0016] Among them, the mineral elements in the mineral element information include quartz, potassium feldspar, plagioclase, biotite and muscovite; the lithological characteristics are determined by normalizing the contents of the mineral elements and judging the interval ranges where the contents and content combinations of different mineral elements are located.

[0017] Optionally, determining the preset weathering intensity index corresponding to the cuttings sample according to the scanning image, including:

[0018] Taking the Parker weathering index as the preset weathering intensity index, and determining the target Parker weathering index corresponding to the cuttings sample according to the scanning image;

[0019] Judge the interval range where the target Parker weathering index is located to determine the weathering stage of the rock in the cuttings sample;

[0020] The calculation formula of the Parker weathering index is:

[0021] ; where is the component in the silicate rock, is the component in the silicate rock, is the component in the silicate rock, is the component in the silicate rock.

[0022] Optionally, determining the average pore face ratio corresponding to the cuttings sample according to the scanned image includes:

[0023] Setting a scale according to the pixel information of the backscattered image and performing gray-scale analysis to extract target cuttings particles in the cuttings sample that reach a preset particle area;

[0024] Determining the particle area of the target cuttings particles and setting a threshold within the target cuttings particles to determine the pore and fracture areas of single particles within the target cuttings particles;

[0025] Determining the pore face ratio of each cuttings particle in the target cuttings particles based on the particle area and the pore and fracture areas, and using the pore face ratio of each cuttings particle to determine the average pore face ratio corresponding to the cuttings sample;

[0026] Among them, the calculation formula for the average pore face ratio is: ; is the average pore face ratio of the cuttings sample, is the number of target cuttings particles in the cuttings sample, is the number of the target cuttings particle, is the pore and fracture area, is the particle area of the target cuttings particle.

[0027] Optionally, the identifying the reservoir type of the buried hill based on the lithological characteristics, the preset weathering intensity index, and the average pore face ratio includes:

[0028] Determining different reservoir types of the buried hill, and determining respective corresponding reservoir type judgment bases for each of the reservoir types;

[0029] Using the reservoir type judgment bases to judge the lithological characteristics, the preset weathering intensity index, and the average pore face ratio, so as to divide the reservoir facies zones of the buried hill.

[0030] In a second aspect, the present application discloses a device for dividing the reservoir facies zones of a buried hill, including:

[0031] A sample collection and preparation module, configured to continuously sample drilling cuttings from a buried hill reservoir and prepare a cuttings sample using the collected cuttings;

[0032] A sample scanning module, configured to scan the cuttings sample using a scanning electron microscope to obtain a corresponding scanned image;

[0033] A reservoir facies belt identification module, configured to respectively determine the lithological characteristics, a preset weathering intensity index, and an average pore face ratio corresponding to the cuttings sample according to the scanning image, and identify the reservoir type of the buried hill based on the lithological characteristics, the preset weathering intensity index, and the average pore face ratio.

[0034] In a third aspect, the present application discloses an electronic device, which includes a processor and a memory; wherein, the memory is used to store a computer program, and the computer program is loaded and executed by the processor to implement the buried hill reservoir facies belt division method as described above.

[0035] In a fourth aspect, the present application discloses a computer-readable storage medium, which is used to store a computer program; wherein the computer program, when executed by a processor, implements the buried hill reservoir facies belt division method as described above.

[0036] The present application provides a method for dividing the reservoir facies belt of a buried hill, including: continuously sampling drill cuttings of the buried hill reservoir, and preparing cuttings samples by using the collected cuttings; scanning the cuttings samples by using a scanning electron microscope to obtain corresponding scanning images; respectively determining the lithological characteristics, a preset weathering intensity index, and an average pore face ratio corresponding to the cuttings sample according to the scanning image, and identifying the reservoir type of the buried hill based on the lithological characteristics, the preset weathering intensity index, and the average pore face ratio.

[0037] The beneficial technical effects of the present application are as follows: By using a scanning electron microscope to quickly scan and systematically analyze the drill cuttings of the buried hill reservoir, the technical idea is clear and the application is simple. Fine scanning of cuttings can obtain the scanning images of minerals, elements, and rock particles in-situ of the rock at one time. Using this information, the lithological characteristics, weathering intensity index, and pore face ratio information of the reservoir can be accurately calculated, fully considering the petrological characteristics, weathering degree, and reservoir characteristics. By comprehensively using the obtained data for reservoir division of the buried hill and jointly quantitatively judging the reservoir type, reliable data is provided for quantitative identification of the reservoir facies belt, which is simple, fast, highly feasible, and conducive to popularization.

[0038] In addition, a device, equipment, and storage medium for dividing the reservoir facies belt of a buried hill provided by the present application correspond to the above-mentioned method for dividing the reservoir facies belt of a buried hill, and the effects are the same. Description of the Drawings

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained according to the provided drawings without creative efforts.

[0040] Figure 1 Flow chart of a method for dividing buried hill reservoir facies belts disclosed in this application;

[0041] Figure 2 Schematic diagram of a cuttings scan image disclosed in this application;

[0042] Figure 3 Recognition map of the particle pore ratio of the cuttings of the 3448m sample in Well CBG25 disclosed in this application;

[0043] Figure 4 Comprehensive map of cuttings analysis and comparison map with the results of electrical imaging logging disclosed in this application;

[0044] Figure 5 Schematic diagram of the structure of a device for dividing buried hill reservoir facies belts disclosed in this application;

[0045] Figure 6 Structural diagram of an electronic device disclosed in this application. Detailed implementation manners

[0046] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0047] Currently, when dividing buried hill reservoir facies belts, it is necessary to carry out complicated test experiments and detailed analysis with the help of core samples to achieve lithology identification and reservoir space identification. This process gives rise to a series of problems. On the one hand, the analysis of buried hill reservoirs highly depends on a large amount of core data, and a large amount of lithology analysis work needs to be carried out. Not only is the cost of lithology identification high, but also the efficiency is low. Moreover, only based on the core, the lithology information of the entire well section cannot be obtained, and it is not applicable to non-cored well sections, and it is even more difficult to obtain the complete information of the entire buried hill. On the other hand, relying solely on logging analysis lacks sufficient geological basis, and a large amount of effort needs to be invested in geological analysis and response analysis of logging signals. In addition, logging has always been a thorny problem in lithology identification inside the buried hill and is difficult to be effectively solved.

[0048] Therefore, this application provides a scheme for dividing buried hill reservoir facies belts, which can use the fine identification and analysis of cuttings to quantitatively calculate rock types and pore information, and directly obtain relevant information of the reservoir, thereby greatly improving the accuracy and reliability of reservoir belt identification.

[0049] The embodiments of the present invention disclose a method for dividing buried hill reservoir facies belts. Refer to Figure 1 As shown, the method includes:

[0050] Step S11: Continuously sample the cuttingtings of the buried hill reservoir and prepare cutting sample by using the collected cuttingtings.

[0051] In the embodiment of the present application, firstly, systematic collection and sample preparation of cuttingtings are carried out. After the collected drilling cuttingtings are made into cutting samples, they are to be tested. Specifically, the process of collection and preparation includes the following steps:

[0052] Continuously sample the cuttingtings of the buried hill reservoir based on a preset sampling interval, and successively clean and dry the collected cuttingtings to obtain dried cuttingtings;

[0053] Sieve the dried cuttingtings respectively by using sieves with different mesh sizes to screen out cutting particles meeting the preset particle size range;

[0054] Make the cutting particles into a target sample to be tested with a target diameter to obtain the cutting sample.

[0055] Drilling cuttingtings completely record geological information. Accurately analyzing the characteristics and composition of cuttingtings is of great significance for clarifying the reservoir characteristics and types of buried hills. In the embodiment of the present application, continuous sampling of drilling cuttingtings is carried out. Continuous sampling means that during the drilling process, cuttingtings are continuously collected according to a certain sampling interval and lag time, and are observed, analyzed and positioned to restore the original underground profile. In a specific embodiment, the preset sampling interval can be set to 2 meters. After continuous sampling of drilling cuttingtings based on the preset sampling interval, the collected cuttingtings are cleaned and dried to remove the mud attached to the surface of the cuttingtings and obtain dried cuttingtings.

[0056] Further, sieve the dried cuttingtings. Exemplarily, sieves with 10 meshes and 18 meshes can be respectively used for sieving to screen out cutting particles with a particle size of 0.3 - 2 mm. This step will effectively remove the large rock particles incorporated from the upper formation blocks and the rock particles with too small particle sizes.

[0057] Finally, make the screened cuttingtings into a target sample to be tested according to requirements to obtain the cutting sample. Exemplarily, the screened cuttingtings are made into a target sample with a diameter of 2.5 cm and then to be tested.

[0058] Step S12: Scan the cutting sample by using a scanning electron microscope to obtain corresponding scanning images.

[0059] At present, the industry has been able to use a scanning electron microscope to scan cuttings and analyze the mineral composition of cutting particles with the help of relevant software, which provides strong technical support for cutting analysis. In the embodiments of the present application, a scanning electron microscope system equipped with AMICS (Advanced Mineral Identification and Characterization System) software is used to finely scan and systematically analyze the cuttings from the buried hill reservoir drilling.

[0060] Specifically, a scanning electron microscope is used to scan the cutting sample to obtain the backscattered image, mineral distribution image, and mineral element information of the cutting sample. Among them, the mineral element information may include the quantitative information of elements, mineral composition, abundance information of major elements, etc. As Figure 2 The figure shows the scanning results of the cutting sample obtained after scanning the cutting sample with a scanning electron microscope. Among them, the left figure A is the backscattered image obtained by scanning; the right figure B is the mineral distribution image obtained by the automatic mineral analysis software.

[0061] Step S13: Respectively determine the lithological characteristics, preset weathering intensity index, and average pore face ratio corresponding to the cutting sample according to the scanning image, and identify the reservoir type of the buried hill based on the lithological characteristics, the preset weathering intensity index, and the average pore face ratio.

[0062] In the embodiments of the present application, the scanning images obtained after the fine scanning of the scanning electron microscope provide reliable data for logging interpretation and layer selection analysis. By respectively performing lithological identification, weathering index analysis, and reservoir space identification on the scanning images, and then dividing the reservoir of the buried hill based on the obtained information, the petrological characteristics, weathering degree, and reservoir characteristics are fully considered.

[0063] It can be understood that the reservoirs of buried hills usually include different reservoir types, and there are certain differences in petrological characteristics, weathering degree, and reservoir characteristics among the facies belts of different reservoir types. Therefore, in the embodiments of the present application, the characteristics corresponding to each reservoir type are determined as the corresponding reservoir type judgment basis, and through the reservoir type judgment basis, the lithological characteristics, preset weathering intensity index, and average pore face ratio obtained from the scanning image are judged in turn to realize the division of the reservoir facies belt of the buried hill.

[0064] Exemplarily, assume that the type of buried hill is metamorphic buried hill. Then, for the metamorphic buried hill, its reservoir can usually be divided into weathered fracture zone, transitional fracture zone, inner fracture zone and inner dense zone. Among them, the Parker Weathering Index (WIP) of the weathered fracture zone is less than 40, the average porosity is about 2.5%, and the lithology is mainly metamorphic granite; the WIP index of the transitional fracture zone is between 40 and 60, the average porosity is about 2.5%, and the lithology is mostly metamorphic granite and gneiss; for the inner fracture zone, the WIP is generally higher than 60, the average porosity is about 2.5%, and the content of gneiss further increases; the WIP of the inner dense zone is generally higher than 60, the average porosity is less than 2.0%, and the lithology is mainly gneiss. According to the above reservoir characteristics, the reservoir types can be effectively divided.

[0065] The present application provides a method for dividing the reservoir facies zone of a buried hill, including: continuously sampling drill cuttings of the buried hill reservoir, and preparing drill cutting samples by using the collected drill cuttings; scanning the drill cutting samples by using a scanning electron microscope to obtain corresponding scanning images; respectively determining the lithological characteristics, preset weathering intensity index and average porosity corresponding to the drill cutting samples according to the scanning images, and identifying the reservoir types of the buried hill based on the lithological characteristics, the preset weathering intensity index and the average porosity.

[0066] The beneficial technical effects of the present application are as follows: By using a scanning electron microscope to quickly scan and systematically analyze the drill cuttings of the buried hill reservoir, the technical idea is clear and the application is simple. Fine scanning of drill cuttings can obtain the scanning images of minerals, elements and rock particles in-situ of the rock at one time. By using this information, the lithological characteristics, weathering intensity index and porosity information of the reservoir can be accurately calculated, fully considering the petrological characteristics, weathering degree and reservoir characteristics. By comprehensively using the obtained data for reservoir division of the buried hill and jointly quantitatively judging the reservoir types, reliable data are provided for quantitative identification of the reservoir facies zone, which is simple, fast, has extremely high feasibility and is conducive to popularization.

[0067] Based on the above embodiments, this embodiment will specifically elaborate on S13 in the above embodiments. Among them, in order to accurately calculate the lithological information of the reservoir, the process of determining the lithological characteristics corresponding to the drill cutting samples according to the scanning images may include the following steps:

[0068] Determine the lithological characteristics corresponding to the drill cutting samples by using the mineral element information;

[0069] Among them, the mineral elements in the mineral element information include quartz, potassium feldspar, plagioclase, biotite and muscovite; the lithological characteristics are determined by normalizing the contents of the mineral elements and judging the interval ranges where the contents and content combinations of different mineral elements are located.

[0070] In the embodiments of the present application, an image recognition method is adopted to classify rock types according to ternary diagrams, so as to quantitatively and rapidly calculate the lithological characteristics of each depth segment by using the mineral element information in the scanned image. In a feasible implementation manner, the mineral elements in the mineral element information include quartz Q, potassium feldspar A, plagioclase P, biotite B, and muscovite M.

[0071] In the process of identifying and determining the reservoir lithology, the contents of these main rock-forming minerals are normalized, that is, Q + A + P + B + M = 1; further, the lithology type is determined according to the content range of different mineral elements and the combination of their contents.

[0072] Exemplarily: if B + M > 40%, the lithology is mica schist;

[0073] If 20% < B + M < 40% and P / A > 2, the lithology is biotite plagiogneiss;

[0074] If B + M < 20%, the lithology needs to be further classified, mainly based on the contents of quartz Q, potassium feldspar K, and plagioclase P. Similarly, the contents of these three minerals are normalized, that is, Q + A + P = 1;

[0075] If Q < 10% and 10% < P / (A + P) < 65%, the lithology is monzogneiss;

[0076] If 10% < Q < 20% and 35% < P / (A + P) < 65%, the lithology is quartz monzogneiss;

[0077] If 20% < Q < 60% and 35% < P / (A + P) < 65%, the lithology is metamorphic granite.

[0078] It can be seen that through the above steps, the petrological characteristics are fully considered, and the identification and determination of reservoir lithology can be realized.

[0079] Further, a weathering index analysis is carried out. By using the element information of the rock, classic rock weathering intensity indicators are selected to identify the weathering degree of the rock. Among them, the process of determining the preset weathering intensity indicator corresponding to the cuttings sample according to the scanned image may include the following steps:

[0080] Taking the Parker weathering index as the preset weathering intensity indicator, and determining the target Parker weathering index corresponding to the cuttings sample according to the scanned image;

[0081] Judging the interval range of the target Parker weathering index to determine the weathering stage of the rock in the cuttings sample.

[0082] In a feasible implementation, the Parker Weathering Index (WIP) is selected as an indicator for identifying the weathering intensity, which can effectively determine the weathering degree of silicate rocks. The calculation formula of this index is:

[0083] ; where is the component in the silicate rock, is the component in the silicate rock, is the component in the silicate rock, is the component in the silicate rock. The above various elements are obtained by calculating the composition in various silicate minerals in the rock.

[0084] It should be noted that in the calculation result of this formula, if the WIP index is higher than 60, it represents the weak weathering stage of the rock; if the WIP index is in the range of 40 - 60, it represents the medium weathering stage of the rock; if the WIP index is below 40, it represents a stronger weathering degree of the rock.

[0085] It can be seen that through the above steps, the weathering degree is fully considered, and the analysis of the reservoir weathering index can be realized.

[0086] Furthermore, reservoir space identification is carried out. The porosity is usually used to describe the distribution of pores or fractures in a rock or reservoir. Therefore, in the embodiments of the present application, by quantitatively calculating the porosity of cuttings particles, the pore and fracture development degree of the rock is determined, and the reservoir characteristics are fully considered. Among them, the process of determining the average porosity corresponding to the cuttings sample according to the scanned image may include the following steps:

[0087] Set the scale according to the pixel information of the backscattered image and perform gray-scale analysis to extract the target cuttings particles in the cuttings sample that reach the preset particle area;

[0088] Determine the particle area of the target cuttings particles, and set the threshold within the target cuttings particles to determine the pore and fracture area of single particles within the target cuttings particles;

[0089] Based on the particle area and the pore and fracture area, determine the porosity of each cuttings particle in the target cuttings particles, and use the porosity of each cuttings particle to determine the average porosity corresponding to the cuttings sample.

[0090] In a feasible implementation, Image J is used to perform image analysis on the backscattered images of cuttings particles. First, set the scale according to the pixel information in the software, and then perform grayscale analysis. In the backscattered scan image, the grayscale of the particle background is less than 10. Use grayscale analysis to subtract the background and extract particles with a particle area greater than 0.05 mm 2 above.

[0091] Secondly, use the particle analysis function of Image J to automatically identify and number the extracted target cuttings particles, and calculate the area At of the cuttings particles. Then, further analyze the particles and set the threshold within the particles. The grayscale within the particles from 10 to 30 represents fractures and pores within the particles; a grayscale greater than 30 represents various minerals; calculate the area Ap occupied by pores and fractures in a single cuttings particle. Comprehensively analyze the porosity of each cuttings particle in the sample, and then analyze the average porosity of the sample. The specific calculation formula is as follows:

[0092] ;

[0093] is the average porosity of the cuttings sample, is the number of target cuttings particles in the cuttings sample, is the number of the target cuttings particle, is the area of pores and fractures, is the particle area of the target cuttings particle.

[0094] It can be seen that through the above steps, by quantitatively calculating the porosity, the development of reservoir spaces is fully considered. Finally, summarize the characteristics of various reservoir facies belts, and comprehensively consider the lithology, weathering zone, and development of reservoir spaces obtained from the above steps to identify the reservoir facies belts and jointly quantitatively judge the reservoir type.

[0095] Next, based on the foregoing embodiments, the present invention is illustrated by examples. In this embodiment, the Archean buried hill of Well CBG25 is analyzed. The section from 3352 m to 4522 m of this well is the buried hill section. Drill cuttings are sampled every 2 m in this well section, and a total of 585 cuttings samples are obtained. After washing and drying the cuttings samples, they are sieved and made into samples, and then each sample is scanned separately, Figure 2 which is the scanning result of the cuttings sample.

[0096] Furthermore, the mineral compositions obtained for each sample were analyzed. Taking the sample at 3,448 meters in this well as an example, the mineral information obtained through analysis by an automatic mineral software was analyzed. In this sample, the quartz content was 11.3%, the potassium feldspar content was 18.5%, the plagioclase content was 10.6%, the biotite content was 0.8%, and the muscovite content was 1.5%. After normalizing the contents of the main rock-forming minerals such as quartz Q, potassium feldspar A, plagioclase P, biotite B, and muscovite M, it can be seen that B + M < 20%; further analyzing the lithology, 20% < Q < 60% in the sample, and 35% < P / (A + P) < 65%, and it can be analyzed that the lithology is metamorphic granite.

[0097] Furthermore, the weathering index of the sample was analyzed. Taking the test sample at 3,448 m as an example, through testing, it was found that in this sample the content was 0.29%, the content was 0.97%, the component content was 0.17%, the component content was 3.82%. The WIP calculation formula was used for calculation:

[0098] ;

[0099] Through calculation, it was found that the WIP index of this sample was 36.7, indicating a relatively strong degree of weathering.

[0100] Furthermore, the pore space ratio of the sample was analyzed. A scale was set for the particles. Each pixel point in this image corresponded to a size of 2.5 μm; gray-scale analysis was carried out. In the backscattered scan image, the gray scale of the particle background was less than 10. The background was deducted using gray-scale analysis, and particles with an area of 0.05 mm 2 or more were extracted. The particle analysis function of Image J was used to automatically identify and number the particles. As Figure 3 shown, a total of 19 cuttings particles were identified in the scanned image of this sample. Table 1 lists the area At of the cuttings particles and the area Ap occupied by pores and fractures in each cuttings particle. By comprehensively analyzing the pore space ratio of each cuttings particle in the sample, the average pore space ratio of this sample was calculated to be 1.5%.

[0101] Table 1 Calculation Table of Pore Space Ratio of the Sample at 3,448 m in Well CBG25

[0102]

[0103] Based on the analysis results of 585 samples from the entire buried hill section of Well CBG25, it can be found that in the interval of 3350 - 3475 m of this well, the lithology is mainly metamorphic granite, the average pore face ratio is 2.8%, and the average WIP is 22, showing typical characteristics of a weathered fracture zone; in the interval of 3475 - 3692 m, the lithology is mostly metamorphic granite and gneiss, the average pore face ratio is 2.6%, and the average WIP is 46, showing typical characteristics of a transitional fracture zone; in the interval of 3692 - 3893 m, the lithology is mainly various types of gneiss, the average pore face ratio is 2.3%, and the average WIP is 71, showing characteristics of an internal fracture zone; in the interval of 3893 - 4525 m, the lithology is mainly various types of gneiss, the average pore face ratio is 1.4%, and the average WIP is 73, showing typical characteristics of an internal dense zone.

[0104] In summary, the interval of 3350 - 3475 m of this well is a weathered fracture zone, the interval of 3475 - 3692 m is a transitional fracture zone, the interval of 3692 - 3893 m is an internal fracture zone, and the interval of 3893 - 4525 m is an internal dense zone. Figure 4 The cuttings analysis results and the logging interpretation results are presented. The results show that the cuttings analysis results of the present invention are basically consistent with the logging interpretation results, and the coincidence rate reaches over 95%, verifying the accuracy of the analysis.

[0105] Correspondingly, the embodiments of the present application also disclose a device for dividing the buried hill reservoir facies belt. Refer to Figure 5 as shown, this device includes:

[0106] A sample collection and preparation module 11, which is used to continuously sample drilling cuttings from the buried hill reservoir and prepare cuttings samples using the collected cuttings;

[0107] A sample scanning module 12, which is used to scan the cuttings samples using a scanning electron microscope to obtain corresponding scanning images;

[0108] A reservoir facies belt identification module 13, which is used to respectively determine the lithological characteristics, preset weathering intensity index, and average pore face ratio corresponding to the cuttings samples according to the scanning images, and identify the reservoir type of the buried hill based on the lithological characteristics, the preset weathering intensity index, and the average pore face ratio.

[0109] Among them, for the more specific working processes of the above-mentioned various modules, reference can be made to the corresponding content disclosed in the foregoing embodiments, and details will not be elaborated here.

[0110] It can be seen that through the above solution of this embodiment, including: continuously sampling drill cuttings of the buried hill reservoir, and preparing a drill cuttings sample by using the collected drill cuttings; scanning the drill cuttings sample by using a scanning electron microscope to obtain corresponding scanning images; respectively determining the lithologic characteristics, preset weathering intensity index and average pore throat ratio corresponding to the drill cuttings sample according to the scanning images, and identifying the reservoir type of the buried hill based on the lithologic characteristics, the preset weathering intensity index and the average pore throat ratio.

[0111] The beneficial technical effects of this application are as follows: by using a scanning electron microscope to quickly scan and systematically analyze the drill cuttings of the buried hill reservoir, the technical idea is clear and the application is simple. Fine scanning of drill cuttings can obtain scanning images of minerals, elements and rock particles in-situ of the rock at one time. Using this information, the lithologic characteristics, weathering intensity index and pore throat ratio information of the reservoir can be accurately calculated, fully considering petrological characteristics, weathering degree and reservoir characteristics. By comprehensively using the obtained data for reservoir division of the buried hill, jointly and quantitatively judging the reservoir type, reliable data is provided for quantitative identification of reservoir facies belts, which is simple, fast, highly feasible and conducive to popularization.

[0112] Furthermore, the embodiment of this application also discloses an electronic device. Figure 6 It is a structural diagram of an electronic device 20 shown according to an exemplary embodiment. The content in the figure cannot be considered as any limitation to the scope of use of this application.

[0113] Figure 6 It is a schematic structural diagram of an electronic device 20 provided by an embodiment of this application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25 and a communication bus 26. Among them, the memory 22 is used to store a computer program, and the computer program is loaded and executed by the processor 21 to implement the relevant steps in the method for dividing the reservoir facies belt of the buried hill disclosed in any of the foregoing embodiments. In addition, the electronic device 20 in this embodiment may specifically be a computer.

[0114] In this embodiment, the power supply 23 is used to provide working voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and external devices, and the communication protocol it follows is any communication protocol applicable to the technical solution of this application, and no specific limitation is made thereto here; the input / output interface 25 is used to obtain external input data or output data to the outside, and its specific interface type can be selected according to specific application needs, and no specific limitation is made here.

[0115] In addition, as a carrier for storing resources, the memory 22 can be a read-only memory, a random access memory, a magnetic disk, an optical disc, etc. The resources stored thereon can include an operating system 221, a computer program 222, data 223, etc. The data 223 can include various types of data. The storage method can be temporary storage or permanent storage.

[0116] Among them, the operating system 221 is used to manage and control each hardware device and the computer program 222 on the electronic device 20, and it can be Windows Server, Netware, Unix, Linux, etc. In addition to the computer program that can be used to complete the buried hill reservoir facies zone division method executed by the electronic device 20 disclosed in any of the foregoing embodiments, the computer program 222 can further include computer programs that can be used to complete other specific tasks.

[0117] Furthermore, the embodiments of the present application also disclose a computer-readable storage medium. The computer-readable storage medium mentioned here includes a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a magnetic disk, an optical disc, or any other form of storage medium known in the technical field. Among them, when the computer program is executed by a processor, the foregoing buried hill reservoir facies zone division method is implemented. For the specific steps of this method, reference can be made to the corresponding content disclosed in the foregoing embodiments, and details will not be repeated here.

[0118] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. For the same or similar parts between the various embodiments, reference can be made to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and reference can be made to the description of the method part for related parts.

[0119] The steps of the buried hill reservoir facies zone division method or algorithm described in combination with the embodiments disclosed in this article can be directly implemented by hardware, a software module executed by a processor, or a combination of the two. The software module can be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the technical field.

[0120] Finally, it should also be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the existence of additional identical elements in the process, method, article or device comprising said element.

[0121] The above has introduced in detail a method, apparatus, device and medium for dividing paleo-buried hill reservoir facies zones provided by the present invention. Specific examples are used in this text to elaborate on the principle and implementation manner of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A method for dividing paleo buried hill reservoir facies belts, characterized in that, Including: Continuously sampling drill cuttings from the buried hill reservoir and preparing cutting samples using the collected cuttings; Scanning the cutting samples using a scanning electron microscope to obtain corresponding scanning images; Respectively determining the lithologic characteristics, preset weathering intensity index, and average pore throat ratio corresponding to the cutting samples based on the scanning images, and identifying the reservoir types of the buried hill based on the lithologic characteristics, the preset weathering intensity index, and the average pore throat ratio.

2. The method for dividing paleo-buried hill reservoir facies belts according to claim 1, characterized in that The continuously sampling drill cuttings from the buried hill reservoir and preparing cutting samples using the collected cuttings includes: Continuously sampling drill cuttings from the buried hill reservoir based on a preset sampling interval, and successively cleaning and drying the collected cuttings to obtain dried cuttings; Sieving the dried cuttings using sieves with different mesh sizes respectively to screen out cutting particles that meet the preset particle size range; Manufacturing the cutting particles into a test target sample with a target diameter to obtain the cutting samples.

3. The method for dividing paleo-buried hill reservoir facies zones according to claim 1, wherein The scanning the cutting samples using a scanning electron microscope to obtain corresponding scanning images includes: Scanning the cutting samples using a scanning electron microscope to obtain the backscattered image, mineral distribution image, and mineral element information of the cutting samples.

4. The paleo buried hill reservoir facies zone division method according to claim 3, characterized in that Determining the lithologic characteristics corresponding to the cutting samples based on the scanning images includes: Determining the lithologic characteristics corresponding to the cutting samples using the mineral element information; Wherein, the mineral elements in the mineral element information include quartz, potassium feldspar, plagioclase, biotite, and muscovite; the lithologic characteristics are determined by normalizing the contents of the mineral elements and judging the interval ranges where the contents and content combinations of different mineral elements are located.

5. The method for dividing paleo buried hill reservoir facies belts according to claim 1, wherein Determining the preset weathering intensity index corresponding to the cutting samples based on the scanning images includes: Taking the Parker weathering index as the preset weathering intensity index and determining the target Parker weathering index corresponding to the cutting samples based on the scanning images; Judging the interval range where the target Parker weathering index is located to determine the weathering stage of the rock in the cutting samples; The calculation formula of the Parker weathering index is: ; wherein, is a component in the silicate rock, is a component in the silicate rock, is a component in the silicate rock, is a component in the silicate rock.

6. The method for dividing paleo-buried-hill reservoir facies zones according to claim 3, characterized in that, Determining the average pore throat ratio corresponding to the cutting samples based on the scanning images includes: Setting a scale according to the pixel information of the backscattered image and performing gray-scale analysis to extract target cutting particles in the cutting samples that reach the preset particle area; Determining the particle area of the target cutting particles and setting a threshold within the target cutting particles to determine the pore and fracture areas of single particles in the target cutting particles; Determining the pore throat ratio of each cutting particle in the target cutting particles based on the particle area and the pore and fracture areas, and determining the average pore throat ratio corresponding to the cutting samples using the pore throat ratio of each cutting particle; Among them, the calculation formula for the average pore face ratio is as follows: ; is the average pore face ratio of the cuttings sample, is the number of target cutting particles in the cuttings sample, is the number of the target cutting particle, is the pore and fracture area, is the particle area of the target cutting particle.

7. The paleo-buried hill reservoir facies zone division method according to any one of claims 1 to 6, characterized in that The identifying the reservoir types of the buried hill based on the lithologic characteristics, the preset weathering intensity index, and the average pore throat ratio includes: Determining different reservoir types of the buried hill and determining respective judgment bases for the reservoir types for each of the reservoir types; Judging the lithological characteristics, the preset weathering intensity index, and the average pore face ratio based on the judging basis of the reservoir type to divide the reservoir facies zone of the buried hill.

8. An apparatus for dividing paleo-buried hill reservoir facies belts, characterized in that, Including: A sample collection and preparation module for continuously sampling drill cuttings from the buried hill reservoir and preparing cuttings samples using the collected cuttings; A sample scanning module for scanning the cuttings samples using a scanning electron microscope to obtain corresponding scanning images; A reservoir facies zone identification module for respectively determining the lithological characteristics, the preset weathering intensity index, and the average pore face ratio corresponding to the cuttings samples according to the scanning images, and identifying the reservoir type of the buried hill based on the lithological characteristics, the preset weathering intensity index, and the average pore face ratio.

9. An electronic device, characterized in that, The electronic device includes a processor and a memory; wherein, the memory is used to store a computer program, and the computer program is loaded and executed by the processor to implement the buried hill reservoir facies zone division method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, For storing a computer program; wherein the computer program, when executed by a processor, implements the buried hill reservoir facies zone division method according to any one of claims 1 to 7.

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