Method and device for detecting oil content of cuttings
By combining scanning electron microscopy and resistivity data, a nonlinear optimization algorithm was used to calculate the oil content in rock cuttings, which solved the problem of inaccurate detection of oil content in rock cuttings and achieved more accurate oil content measurement.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- PETROCHINA CO LTD
- Filing Date
- 2022-09-15
- Publication Date
- 2026-05-15
AI Technical Summary
Existing technologies are inaccurate in detecting oil content in rock cuttings, making it impossible to accurately measure the oil content in rock cuttings.
Images of rock cuttings were acquired using a scanning electron microscope to obtain energy dispersive spectroscopy (EDS) count rates, determine mineral components and their contents, and calculate oil content using a nonlinear optimization algorithm in conjunction with resistivity data.
It enables accurate determination of oil content in rock cuttings, improving measurement precision and reliability.
Smart Images
Figure CN117741094B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the petroleum field, and more specifically, to a method and apparatus for detecting the oil content in rock cuttings. Background Technology
[0002] Determining the oil content in rock cuttings is an essential step in evaluating the reserves and exploitation value of an oil field during oil drilling. However, the main method used in related technologies is direct measurement. But this method is prone to inaccurate results, making it impossible to accurately measure the oil content in rock cuttings. Therefore, accurately determining the oil content in rock cuttings remains a challenge.
[0003] There is currently no effective solution to the above problems. Summary of the Invention
[0004] This invention provides a method and apparatus for detecting the oil content in rock cuttings, which at least solves the technical problem in related technologies where the oil content is measured by direct measurement, and the measured oil content may be inaccurate.
[0005] According to one aspect of the present invention, a method for detecting oil content in rock cuttings is provided, comprising: acquiring a target rock cuttings image using a scanning electron microscope; obtaining the energy dispersive spectral count rate of the target rock cuttings image; determining, based on the energy dispersive spectral count rate, the target mineral components included in the target rock cuttings and the mineral component content of the target mineral components; determining the rock cuttings depth resistivity and rock cuttings shallow resistivity while drilling, and the component resistivity while drilling and component shallow resistivity while drilling of the target rock cuttings, wherein the target rock cuttings component includes the target mineral components; and determining the target oil content of the target rock cuttings based on the rock cuttings depth resistivity, the rock cuttings shallow resistivity while drilling, the mineral component content, the component resistivity while drilling and the component shallow resistivity while drilling.
[0006] Optionally, determining the target oil content of the target cuttings based on the cuttings' depth-while-drilling resistivity, the cuttings' shallow-while-drilling resistivity, the mineral component content, the component's depth-while-drilling resistivity, and the component's shallow-while-drilling resistivity includes: determining an objective function based on the target cuttings; determining the objective constraints of the objective function; and solving the objective function under the objective constraints using a nonlinear optimization algorithm to determine the target oil content of the target cuttings.
[0007] Optionally, determining the objective function based on the target cuttings according to the cuttings depth resistivity, the cuttings shallow resistivity, the mineral component content, the component depth resistivity, and the component shallow resistivity includes: determining a first response equation corresponding to the depth resistivity based on the mineral component content and the component depth resistivity; and determining a second response equation corresponding to the shallow resistivity based on the mineral component content and the component shallow resistivity; and determining the objective function based on the target cuttings using the least squares method based on the cuttings depth resistivity, the cuttings shallow resistivity, the first response equation, and the second response equation.
[0008] Optionally, after acquiring the energy spectrum count rate of the target rock debris image, the method further includes: adjusting the electron microscope parameters of the scanning electron microscope if the energy spectrum count rate is lower than a predetermined threshold.
[0009] Optionally, determining the target mineral components included in the target rock fragments based on the energy spectrum count rate includes: determining an initial reference table, wherein the initial reference table includes a correspondence between mineral components and their energy spectrum count rates; and determining the target mineral components included in the target rock fragments from the initial reference table based on the energy spectrum count rate.
[0010] Optionally, determining the target mineral components included in the target rock fragments from the initial lookup table based on the energy spectrum count rate includes: supplementing the initial lookup table to obtain a target lookup table when the energy spectrum count rates are all greater than or equal to a predetermined threshold and there are unidentified areas in the target rock fragment image; and determining the target mineral components included in the target rock fragments from the target lookup table based on the energy spectrum count rate.
[0011] Optionally, after determining the target oil content of the target rock cuttings based on the rock cuttings' depth resistivity, the rock cuttings' shallow resistivity, the mineral component content, the component's depth resistivity and the component's shallow resistivity, the method further includes: determining the rock cuttings' depth; and determining the correspondence between the rock cuttings' depth and the target oil content.
[0012] According to one aspect of the present invention, an oil content detection device for rock cuttings is provided, comprising: a data acquisition module for acquiring a target rock cuttings image using a scanning electron microscope; an acquisition module for acquiring the energy dispersive spectral count rate of the target rock cuttings image; a first determination module for determining, based on the energy dispersive spectral count rate, a target mineral component included in the target rock cuttings, and the mineral component content of the target mineral component; a second determination module for determining the rock cuttings resistivity at drilling depth and the rock cuttings resistivity at drilling shallow depth, and the component resistivity at drilling depth and the component resistivity at drilling shallow depth, wherein the target rock formation component includes a target mineral component; and a third determination module for determining the target oil content of the target rock cuttings based on the rock cuttings resistivity at drilling depth, the rock cuttings resistivity at drilling shallow depth, the mineral component content, the component resistivity at drilling depth, and the component resistivity at drilling shallow depth.
[0013] According to one aspect of the present invention, an electronic device is provided, comprising: a processor; and a memory for storing processor-executable instructions; wherein the processor is configured to execute the instructions to implement the rock cuttings oil content detection method described in any of the preceding claims.
[0014] According to one aspect of the present invention, a computer-readable storage medium is provided, which, when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, enables the electronic device to perform the rock cuttings oil content detection method described in any of the preceding claims.
[0015] In this embodiment of the invention, a target rock cutting image is acquired using a scanning electron microscope to obtain the energy dispersive spectral count rate of the target rock cutting image; based on the energy dispersive spectral count rate, the target mineral components included in the target rock cutting and the mineral component content of the target mineral components are determined; the rock cutting resistivity at drilling depth and the rock cutting resistivity at drilling shallow depth are determined, as well as the component resistivity at drilling depth and the component resistivity at drilling shallow depth of the target rock formation, wherein the target rock formation includes the target mineral components; based on the rock cutting resistivity at drilling depth, the rock cutting resistivity at drilling shallow depth, the mineral component content, the component resistivity at drilling depth, and the component resistivity at drilling shallow depth of the target rock cutting, the target oil content of the target rock cutting is determined, thus achieving the purpose of accurately determining the oil content in the rock cutting. Since this method obtains the energy dispersive spectroscopy (EDS) count rate using scanning electron microscopy (SEM), then determines the composition and mineral content of the target rock layer based on the EDS count rate, and finally determines the target oil content of the target rock cuttings based on resistivity and mineral content, it can be seen that this method determines the content of each mineral using SEM to obtain the target oil content, rather than directly measuring the target oil content of the target rock cuttings. Therefore, it can accurately determine the target oil content in the target rock cuttings. This solves the technical problem in related technologies where the oil content is determined by direct measurement, which may result in inaccurate oil content measurements. Attached Figure Description
[0016] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:
[0017] Figure 1 This is a flowchart of a method for detecting oil content in rock cuttings according to an embodiment of the present invention;
[0018] Figure 2 This is an image showing the intelligent mineral identification results provided in an embodiment of the present invention;
[0019] Figure 3 This is a structural block diagram of a rock cuttings oil content detection device according to an embodiment of the present invention. Detailed Implementation
[0020] 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.
[0021] 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.
[0022] Example 1
[0023] According to an embodiment of the present invention, an embodiment of a method for detecting oil content in rock cuttings is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.
[0024] Figure 1This is a flowchart of a method for detecting oil content in rock cuttings according to an embodiment of the present invention, as follows: Figure 1 As shown, the method includes the following steps:
[0025] Step S102: Use a scanning electron microscope to acquire images of the target rock fragments;
[0026] Step S104: Obtain the energy spectrum count rate of the target rock cuttings image;
[0027] Step S106: Based on the energy spectrum count rate, determine the target mineral components included in the target rock fragments and the mineral component content of the target mineral components;
[0028] Step S108: Determine the cuttings resistivity at drilling depth and the cuttings resistivity at drilling shallow depth, as well as the component resistivity at drilling depth and the component resistivity at drilling shallow depth, wherein the target rock formation component includes the target mineral component.
[0029] Step S110: Determine the target oil content of the target cuttings based on the cuttings' deep resistivity, cuttings' shallow resistivity, mineral component content, component's deep resistivity and component's shallow resistivity.
[0030] Through the above steps, the target rock cuttings image is acquired using a scanning electron microscope, and the energy dispersive spectral count rate of the target rock cuttings image is obtained. Based on the energy dispersive spectral count rate, the target mineral components included in the target rock cuttings and their content are determined. The rock cuttings resistivity at depth and shallow depth during drilling, as well as the component resistivity at depth and shallow depth during drilling of the target rock formation components are determined, wherein the target rock formation components include the target mineral components. Based on the rock cuttings resistivity at depth and shallow depth during drilling, the mineral component content, and the component resistivity at depth and shallow depth during drilling, the target oil content of the target rock cuttings is determined, thus achieving the goal of accurately determining the oil content in the rock cuttings. Since this method obtains the energy dispersive spectroscopy (EDS) count rate using scanning electron microscopy (SEM), then determines the target mineral components and their contents based on the EDS count rate, and finally determines the target oil content of the target rock cuttings based on the resistivity and mineral component contents, it can be seen that this method determines the content of each mineral using SEM to obtain the target oil content, rather than directly measuring the target oil content of the target rock cuttings. Therefore, it can accurately determine the target oil content in the target rock cuttings. This solves the technical problem in related technologies where the oil content is determined by direct measurement, which may result in inaccurate oil content measurements.
[0031] First, it should be noted that the application scenario of this application can be the introduction of mineral scanning electron microscopy technology at the drilling site to detect data such as mineral type and mineral content of the tested rock cuttings in real time. This breaks through the conventional method of evaluating the reservoir by running logging instruments after drilling, and can promptly understand the drilling situation and solve problems that arise during drilling. The target rock cuttings can be one or multiple. When there are multiple target rock cuttings, they can be obtained by logging samples at appropriate depth intervals during the drilling process. When a core sample is obtained, rock cuttings are directly ground from the core. When the sampled fragments are not from the core, rock cuttings can be obtained directly. It should be noted that when the sampled fragments are not core samples, core images of the core can be acquired, and images of rock cuttings can be acquired using a scanning electron microscope (SEM). The rock layer components identified in the core images are then used to calibrate the rock layer components identified in the rock cutting images. This is because the rock layer components identified in the core images are usually more accurate than those identified in the rock cutting images. Calibration yields more accurate rock cutting images, thus more precisely representing information such as the mineral composition of the rock layers. Before acquiring rock cutting images using an SEM, the rock cuttings can be screened and prepared. For example, multi-scale sieves and manual screening can be used to select rock cuttings that can represent the true information of the well. After obtaining the rock cuttings, anhydrous ethanol is used to clean the surface of the particles to remove adhering substances and mud. Then, the rock cuttings undergo resin embedding, multi-stage polishing of the detection surface, appropriate drying, and conductive carbon plating treatment to obtain the target rock cuttings, allowing for a more accurate determination of the target mineral components and their content within the target rock cuttings.
[0032] As an optional embodiment, a scanning electron microscope (SEM) is used to acquire images of the target rock cuttings, which can accurately determine the target rock cutting image. The energy dispersive spectral count rate of the target rock cutting image is obtained from the SEM-acquired image; since the image is obtained by an SEM, this energy dispersive spectral count rate is relatively accurate. If the energy dispersive spectral count rate is lower than a predetermined threshold, i.e., if there are dark areas in the target rock cutting image acquired by the SEM, the SEM parameters are considered to be unreasonable. The SEM parameters are then adjusted to obtain target rock cutting images where the energy dispersive spectral count rate is greater than or equal to the predetermined threshold. By adjusting the SEM parameters in a timely manner, errors in the target rock cutting image caused by SEM parameter problems can be promptly addressed, ensuring the acquisition of correct target rock cutting images and thus correct energy dispersive spectral count rates.
[0033] As an optional embodiment, the target mineral components and their content in the target rock fragments are determined based on the energy dispersive spectroscopy (EDS) count rate. Figure 2 This is an image of the intelligent mineral identification results provided by an optional embodiment of the present invention, such as... Figure 2As shown, the mineral components and their contents in the target rock fragments can be determined. These mineral components include various types, such as quartz and pyrite. It should be noted that there are multiple methods to determine the target mineral components and their contents. For example, they can be determined by comparing them to a reference table or by comparing them to international standard minerals. The mineral content can also be determined by analyzing the distribution or display area of the energy dispersive spectroscopy (EDS) count rate. Determining the target mineral components and their contents through EDS count rate analysis is more accurate.
[0034] As an optional embodiment, when determining the target mineral components included in the target rock cuttings based on the energy dispersive spectral count rate, a lookup table can be used. For example, an initial lookup table can be determined as follows: the initial lookup table includes the correspondence between mineral components and their energy dispersive spectral count rates, meaning that the corresponding rock layer components can be determined through the energy dispersive spectral count rate. It should be noted that the initial lookup table is determined based on the correspondence between rock layer components and energy dispersive spectral count rates in international mineral standards; therefore, the determined target mineral components are accurate. When determining the target mineral components included in the target rock cuttings from the initial lookup table based on the energy dispersive spectral count rate, the initial lookup table usually only includes the correspondence between common mineral components and their energy dispersive spectral count rates. Therefore, determining the target mineral components from the initial lookup table avoids sequentially comparing with the correspondence between rock layer components and energy dispersive spectral count rates in international mineral standards, but only compares the correspondence between common components and their energy dispersive spectral count rates. In this way, the target mineral components included in the target rock cuttings can be quickly determined.
[0035] As an optional embodiment, during the process of determining the target mineral components included in the target rock fragments from an initial reference table based on the energy dispersive spectral count rate, it is possible that the energy dispersive spectral count rates are all greater than or equal to a predetermined threshold, meaning the target rock fragment image acquired by the scanning electron microscope is correct, but there are unidentified areas in the target rock fragment image. In this case, it indicates that the unidentified areas in the target rock fragment image are due to an incomplete initial reference table. The initial reference table is then supplemented by selecting the correspondence between the target components and energy dispersive spectral count rates of the unidentified areas from international standard minerals and adding it to the initial reference table, thus obtaining a target reference table. Based on the energy dispersive spectral count rate, the target mineral components included in the target rock fragments are determined from the target reference table. This method can accurately and quickly determine all target mineral components in the target rock fragments.
[0036] As an optional embodiment, the depth-while-drilling resistivity and shallow-while-drilling resistivity of the target rock cuttings, as well as the depth-while-drilling resistivity and shallow-while-drilling resistivity of the target rock formation components, are determined. The target rock formation components include target mineral components and fluid components such as oil and water. The depth-while-drilling resistivity and shallow-while-drilling resistivity of the target rock cuttings are resistivities determined based on images, while the depth-while-drilling resistivity and shallow-while-drilling resistivity of the target rock formation components are the recorded resistivities corresponding to the mineral and fluid components. Based on the depth-while-drilling resistivity, shallow-while-drilling resistivity, mineral component content, and the depth-while-drilling resistivity and shallow-while-drilling resistivity of the components, the target oil content of the target rock cuttings is determined. This makes the target oil content more accurate than the actual oil content. There are various methods to determine the target oil content; for example, it can be determined by equations or by models. The application scope of the method in this application has been broadened by various means, and the target oil content determined is more accurate than the target oil content directly measured in related technologies.
[0037] As an optional embodiment, when determining the target oil content of a target cuttings stock based on its cuttings resistivity at depth during drilling, cuttings resistivity at shallow depth during drilling, mineral component content, component resistivity at depth during drilling, and component resistivity at shallow depth during drilling, this can be achieved by solving an objective function. For example, this can be done through the following steps: determining an objective function based on the cuttings resistivity at depth during drilling, cuttings resistivity at shallow depth during drilling, mineral component content, component resistivity at depth during drilling, and component resistivity at shallow depth during drilling, and determining the objective constraints of the objective function. These objective constraints can be volume constraints or content constraints. Using a nonlinear optimization algorithm, the objective function under these objective constraints is solved to determine the target oil content of the target cuttings. The target oil content determined through iterative optimization of the function has the smallest error; therefore, the target oil content is more accurate. Furthermore, determining the target oil content through an objective function improves the efficiency of determining the target oil content.
[0038] As an optional embodiment, in determining the objective function based on the cuttings resistivity at depth and shallow depth, mineral composition content, component resistivity at depth and shallow depth, the objective function can be constructed using a response equation. For example, it can be done through the following steps: determining the first response equation corresponding to the resistivity at depth based on the mineral composition content and component resistivity at depth. For example, when the target rock formation composition is illite, quartz, potassium feldspar, orthoclase, calcite, dolomite, pyrite, water, and petroleum, the first response equation is: RPCELX 计算 =V 伊利石 *RPCELX 伊利石 +V 石英 *RPCELX石英 +V 钾长石 *RPCELX 钾长石 +V 正长石 *RPCELX 正长石 +V 方解石 *RPCELX 方解石 +V 白云石 *RPCELX 白云石 +V 黄铁矿 *RPCELX 黄铁矿 +V 水 *RPCELX 水 +V 油 *RPCELX 油 Where the volumes of water and oil are unknowns. Furthermore, based on the mineral component content and the shallow resistivity of the components during drilling, the second response equation corresponding to the shallow resistivity during drilling is determined. When the target rock formation components are illite, quartz, potassium feldspar, orthoclase, calcite, dolomite, pyrite, water, and petroleum, the second response equation is: RPCEEHX 计算 =V 伊利石 *RPCEHX 伊利石 +V 石英 *RPCEHX 石英 +V 钾长石 *RPCEHX 钾长石 +V 正长石 *RPCEHX 正长石 +V 方解石 *RPCEHX 方解石 +V 白云石 *RPCEHX 白云石 +V 黄铁矿 *RPCEHX 黄铁矿 +V 水 *RPCEHX 水 +V 油 *RPCEHX 油 The volumes of water and oil are unknowns. Based on the cuttings resistivity at depth and shallow depth, the first response equation, and the second response equation, the objective function based on the target cuttings is determined using the least squares method. For example, under the above conditions, the objective function is v * =argmin{F(v)};
[0039] F(v)=(RPCLEX 实际 -RPCELX 计算 ) 2 +(RPCEHX 实际 -RPCEHX 计算 ) 2 ;
[0040] Among them, RPCLEX 实际and RPCECHX 实际 This is the actual logging response value of the cuttings resistivity at both depth and shallow depths during drilling (same as the cuttings resistivity at depth and cuttings resistivity at shallow depths during drilling mentioned above), RPCELX 计算 and RPCECHX 计算 Same as the response equation above.
[0041] After establishing the objective function, the objective constraints of the objective function are determined. These constraints can be various, such as volume constraints, which limit the volume percentage of mineral and fluid components within a certain range, ensuring that the sum of the volume percentages of all components equals 1. The objective function can also satisfy other pre-set constraints. The aforementioned volume constraints are based on the experience of those skilled in the art, limiting the range of mineral and fluid mineral component content in the formation rock composition interpretation model. The volume constraint is shown in the following formula: 1 = V 伊利石 +V 石英 +V 钾长石 +V 正长石 +V 方解石 +V 白云石 +V 黄铁矿 +V 水 +V 油 .
[0042] After determining the target constraints, a nonlinear optimization algorithm is used to solve the objective function under these constraints, and the target oil content in the target rock cuttings is calculated. Specifically, the acquired data is substituted into the above formula, and the nonlinear optimization algorithm is used to solve the objective function, thus calculating the value of the objective function F(v). Then, through optimization methods, the contents of various mineral and fluid components in the formation are continuously adjusted to minimize the value of the objective function F(v). When F(v) is minimized, the volumetric crude oil content V is minimized. 油 The target oil content is determined to be more accurate.
[0043] It should be noted that the above RPCELX 计算 For the resistivity at drilling depth, RPCEHX 计算 For shallow resistivity during drilling, RPCELX 伊利石 For illite resistivity at drilling depth, RPCELX 石英 For the resistivity of quartz at depth during drilling, RPCELX 钾长石 For the resistivity of potassium feldspar at drilling depth, RPCELX 正长石 For orthoclase resistivity at drilling depth, RPCELX 方解石 For calcite resistivity at drilling depth, RPCELX 白云石 For dolomite deep resistivity during drilling, RPCELX 黄铁矿 For pyrite deep resistivity during drilling, RPCELX 水For water resistivity at drilling depth, RPCELX 油 For oil resistivity at drilling depth, RPCEHX 伊利石 For illite shallow resistivity during drilling, RPCEHX 石英 For shallow resistivity of quartz during drilling, RPCEHX 钾长石 For shallow resistivity of potassium feldspar during drilling, RPCEHX 正长石 For shallow resistivity of orthoclase during drilling, RPCEHX 方解石 For shallow resistivity of calcite during drilling, RPCEHX 白云石 For the shallow resistivity of dolomite during drilling, RPCEHX 黄铁矿 For shallow resistivity of pyrite during drilling, RPCEHX 水 For shallow resistivity of water during drilling, RPCEHX 油 For shallow resistivity of oil during drilling, V 伊利石 V is the volume of illite. 石英 V is the volume of quartz. 钾长石 V is the volume of potassium feldspar. 正长石 V represents the volume of orthoclase. 方解石 V is the volume of calcite. 白云石 V is the volume of dolomite. 黄铁矿 V is the volume of pyrite. 水 V is the volume of water. 油 This represents the volume of oil.
[0044] As an optional embodiment, after determining the target oil content, the depth of the target rock cuttings can also be determined, and the correspondence between the rock cuttings depth and the target oil content can be determined. That is, the correspondence between the target oil content of the target rock cuttings in the mine and the depth of the mine can be determined, which can better guide the oil production work of the mine, so as to understand the formation properties at different depths in a timely manner and improve the accuracy of horizontal well trajectory control.
[0045] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, because according to the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.
[0046] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.
[0047] Example 2
[0048] According to embodiments of the present invention, an apparatus for implementing the above-described method for detecting the oil content in rock cuttings is also provided. Figure 3 This is a structural block diagram of a rock cuttings oil content detection device according to an embodiment of the present invention, as shown below. Figure 3 As shown, the device includes: a data acquisition module 302, an acquisition module 304, a first determination module 306, a second determination module 308, and a third determination module 310. The device will be described in detail below.
[0049] The acquisition module 302 is used to acquire target rock cutting images using a scanning electron microscope; the acquisition module 304, connected to the acquisition module 302, is used to acquire the energy dispersive spectral count rate of the target rock cutting image; the first determination module 306, connected to the acquisition module 304, is used to determine the target mineral components included in the target rock cutting and the mineral component content of the target mineral components based on the energy dispersive spectral count rate; the second determination module 308, connected to the first determination module 306, is used to determine the rock cutting resistivity at drilling depth and the rock cutting resistivity at drilling shallow depth, as well as the component resistivity at drilling depth and the component resistivity at drilling shallow depth, wherein the target rock formation components include target mineral components; the third determination module 310, connected to the second determination module 308, is used to determine the target oil content of the target rock cutting based on the rock cutting resistivity at drilling depth, the rock cutting resistivity at drilling shallow depth, the mineral component content, the component resistivity at drilling depth, and the component resistivity at drilling shallow depth.
[0050] It should be noted that the above-mentioned acquisition module 302, acquisition module 304, first determination module 306, second determination module 308 and third determination module 310 correspond to steps S102 to S110 in the implementation of the rock cuttings oil content detection method. The multiple modules and the corresponding steps are the same in terms of implementation examples and application scenarios, but are not limited to the content disclosed in the above embodiment 1.
[0051] Example 3
[0052] According to another aspect of the present invention, an electronic device is also provided, comprising: a processor; and a memory for storing processor-executable instructions, wherein the processor is configured to execute instructions to implement the rock cuttings oil content detection method of any of the above embodiments.
[0053] Example 4
[0054] According to another aspect of the present invention, a computer-readable storage medium is also provided, which, when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, enables the electronic device to perform the rock cuttings oil content detection method described above.
[0055] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.
[0056] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.
[0057] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.
[0058] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0059] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0060] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.
[0061] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.
Claims
1. A method for detecting oil content in rock cuttings, characterized in that, include: Images of the target rock fragments were acquired using a scanning electron microscope; Obtain the energy spectrum count rate of the target rock cuttings image; Based on the energy spectrum count rate, the target mineral components included in the target rock fragments and the mineral component content of the target mineral components are determined; Determine the cuttings resistivity at depth and the cuttings resistivity at shallow depth, as well as the component resistivity at depth and the component resistivity at shallow depth, of the target rock formation components, wherein the target rock formation components include the target mineral components. Based on the cuttings deep resistivity, the cuttings shallow resistivity, the mineral component content, the component deep resistivity and the component shallow resistivity, the target oil content of the target cuttings is determined. The step of determining the target oil content of the target cuttings based on the cuttings' depth-while-drilling resistivity, the cuttings' shallow-while-drilling resistivity, the mineral component content, the component's depth-while-drilling resistivity, and the component's shallow-while-drilling resistivity includes: determining an objective function based on the target cuttings; determining the objective constraints of the objective function; and solving the objective function under the objective constraints using a nonlinear optimization algorithm to determine the target oil content of the target cuttings. The step of determining the objective function based on the target cuttings, according to the cuttings resistivity at depth while drilling, the cuttings resistivity at shallow depth while drilling, the mineral component content, the component resistivity at depth while drilling, and the component resistivity at shallow depth while drilling, includes: determining a first response equation corresponding to the resistivity at depth while drilling based on the mineral component content and the component resistivity at depth while drilling; and determining a second response equation corresponding to the shallow resistivity while drilling based on the mineral component content and the component resistivity at shallow depth while drilling; and determining the objective function based on the target cuttings using the least squares method based on the cuttings resistivity at depth while drilling, the cuttings resistivity at shallow depth while drilling, the first response equation, and the second response equation.
2. The method according to claim 1, characterized in that, After acquiring the energy spectrum count rate of the target rock cuttings image, the method further includes: If the energy spectrum count rate is lower than a predetermined threshold, the electron microscope parameters of the scanning electron microscope are adjusted.
3. The method according to claim 1, characterized in that, The determination of the target mineral components in the target rock fragments based on the energy spectrum count rate includes: An initial reference table is determined, wherein the initial reference table includes the correspondence between mineral components and their energy spectrum count rates; Based on the energy spectrum count rate, the target mineral components included in the target rock fragments are determined from the initial reference table.
4. The method according to claim 3, characterized in that, The step of determining the target mineral components included in the target rock fragments from the initial reference table based on the energy spectrum count rate includes: If the energy spectrum count rate is greater than or equal to a predetermined threshold and there are unidentified areas in the target rock debris image, the initial lookup table is supplemented to obtain a target lookup table; Based on the energy spectrum count rate, the target mineral components included in the target rock fragments are determined from the target reference table.
5. The method according to any one of claims 1 to 4, characterized in that, After determining the target oil content of the target cuttings based on the cuttings' depth resistivity, the cuttings' shallow resistivity, the mineral component content, the component's depth resistivity, and the component's shallow resistivity, the method further includes: Determine the depth of the target rock cuttings; Determine the correspondence between the depth of the rock cuttings and the target oil content.
6. A device for detecting the oil content of rock cuttings, characterized in that, include: The acquisition module is used to acquire images of target rock cuttings using a scanning electron microscope; The acquisition module is used to acquire the energy spectrum count rate of the target rock cuttings image; The first determining module is used to determine the target mineral components included in the target rock fragments and the mineral component content of the target mineral components based on the energy spectrum counting rate. The second determining module is used to determine the cuttings resistivity at drilling depth and the cuttings resistivity at drilling shallow depth of the target cuttings, as well as the component resistivity at drilling depth and the component resistivity at drilling shallow depth of the target rock formation, wherein the target rock formation includes the target mineral components. The third determining module is used to determine the target oil content of the target cuttings based on the cuttings' deep resistivity, the cuttings' shallow resistivity, the mineral component content, the component's deep resistivity and the component's shallow resistivity. The third determining module is further configured to: determine an objective function based on the target cuttings based on the cuttings' depth resistivity, the cuttings' shallow resistivity, the mineral component content, the component's depth resistivity, and the component's shallow resistivity; determine the objective constraints of the objective function; and solve the objective function under the objective constraints using a nonlinear optimization algorithm to determine the target oil content of the target cuttings. The third determining module is further configured to determine a first response equation corresponding to the depth-while-drilling resistivity based on the mineral component content and the component resistivity while drilling, and a second response equation corresponding to the shallow-while-drilling resistivity based on the mineral component content and the component resistivity while drilling; and to determine the objective function based on the target cuttings using the least squares method based on the cuttings depth-while-drilling resistivity, the cuttings shallow-while-drilling resistivity, the first response equation, and the second response equation.
7. An electronic device, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the method for detecting oil content in rock cuttings as described in any one of claims 1 to 5.
8. A computer-readable storage medium, characterized in that, When the instructions in the computer-readable storage medium are executed by the processor of the electronic device, the electronic device is able to perform the rock cuttings oil content detection method as described in any one of claims 1 to 5.