Horizontal well dessert classification evaluation method, drilling rate calculation method and related devices

Abstract

The invention discloses a horizontal well dessert classification evaluation method, a drilling rate calculation method and related devices. The method comprises the following steps: determining a depth interval corresponding to each type of dessert section according to pre-obtained natural gamma and density logging data corresponding to two types of dessert sections of a pilot vertical well target layer; normalizing the natural gamma and density logging data corresponding to each type of dessert section, and determining a difference value between a normalized natural gamma value and a density value corresponding to each type of dessert section; according to the difference value and the depth interval corresponding to each type of dessert sections, determining a numerical value boundary chart of the difference values corresponding to the two types of dessert sections; normalizing pre-obtained natural gamma and density logging data of a horizontal well corresponding to the pilot vertical well, and determining a difference value between a normalized natural gamma value and a density value of the horizontal well; and according to the numerical limit chart and the difference value of the horizontal well, performing dessert type division on all logging sampling data points of the horizontal well to obtain a corresponding dessert type division result.

Description

Technical Field

[0001] The invention relates to a horizontal well sweet spot classification evaluation method, a drilling rate calculation method and related devices. Background Art

[0002] my country is rich in tight reservoir oil and gas resources, with steady progress in capacity construction, rapid increase in production and expansion of the proportion. After nearly ten years of continuous exploration and research, breakthroughs have been made in the development of tight reservoir oil and gas in Ordos, Junggar and Songliao basins. For example, Changqing Oilfield adopts short horizontal wells, high-angle well water injection development and long horizontal well advanced energy supplement development technology, and its annual output exceeds 4 million tons; Xinjiang Mahu Oilfield adopts "multi-layer system, small well spacing, long horizontal section and dense cutting" development to achieve a "two million tons" breakthrough in both production construction and production; Daqing Oilfield adopts the "straight-horizontal well combination + fracture network-volume fracturing + platformization" model to reduce investment and improve internal rate of return. Tight reservoir oil and gas has become the main body of capacity construction in new areas, and horizontal well development has become an important way to develop tight oil reservoirs. Therefore, accurately identifying and classifying the types of sweet spots encountered by horizontal wells and clarifying the development location of high-quality sweet spots have important geological guiding significance for improving the single well fracturing capacity and calculating the estimated ultimate recovery (EUR) of a single well. Summary of the invention

[0003] In order to better realize the classification and evaluation of sweet spots in horizontal wells and the calculation of the drilling rate of sweet spot sections, the embodiments of the present application provide a method for classifying and evaluating sweet spots in horizontal wells, a method for calculating the drilling rate and related devices.

[0004] In a first aspect, an embodiment of the present application provides a method for classifying and evaluating sweet spots in a horizontal well, the method comprising:

[0005] Determine the depth interval corresponding to each type of sweet spot segment based on the natural gamma and density logging data corresponding to the two types of sweet spots of the target layer of the pilot vertical well obtained in advance;

[0006] Normalizing the natural gamma and density logging data corresponding to each type of sweet spot segment, and determining the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment;

[0007] Determine a numerical limit chart of the difference values ​​corresponding to two types of sweet spots according to the difference values ​​and depth intervals corresponding to each type of sweet spot segments;

[0008] Normalizing the natural gamma and density logging data of the horizontal well corresponding to the pilot vertical well obtained in advance, and determining the difference between the normalized natural gamma value and the density value of the horizontal well;

[0009] According to the difference between the numerical limit plate and the horizontal well, all logging sampling data points of the horizontal well are divided into sweet spot types to obtain corresponding sweet spot type division results.

[0010] In an optional implementation of the embodiment of the present application, normalizing the natural gamma and density logging data corresponding to each type of sweet spot segment and determining the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment includes:

[0011] Normalizing the natural gamma and density logging data corresponding to each type of sweet spot segment to determine the normalized natural gamma value and density value corresponding to each type of sweet spot segment;

[0012] The normalized natural gamma value and the density value corresponding to each type of sweet spot segment are subtracted to determine the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment.

[0013] In an optional implementation of the embodiment of the present application, normalizing the natural gamma and density logging data corresponding to each type of sweet spot segment to determine the normalized natural gamma value and density value corresponding to each type of sweet spot segment includes:

[0014] According to the natural gamma logging data corresponding to each type of sweet spot segment, the normalized natural gamma value corresponding to each type of sweet spot segment is calculated based on the following formula 1:

[0015]

[0016] Wherein, GR' is the normalized natural gamma value corresponding to each type of sweet spot segment; GR is the original natural gamma value corresponding to each type of sweet spot segment obtained in advance; min(GR) is the minimum value of the natural gamma value in the natural gamma logging data corresponding to each type of sweet spot segment; max(GR) is the maximum value of the natural gamma value in the natural gamma logging data corresponding to each type of sweet spot segment;

[0017] According to the density logging data corresponding to each type of sweet spot segment, the normalized density value corresponding to each type of sweet spot segment is calculated based on the following formula 2:

[0018]

[0019] Wherein, RHOB' is the normalized density value corresponding to each type of sweet spot segment; RHOB is the original density value corresponding to each type of sweet spot segment obtained in advance; min(RHOB) is the minimum density value in the density logging data corresponding to each type of sweet spot segment; max(RHOB) is the maximum density value in the density logging data corresponding to each type of sweet spot segment.

[0020] In an optional implementation of the embodiment of the present application, the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment to determine the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment includes:

[0021] According to the normalized natural gamma value and density value corresponding to each type of sweet spot segment, the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment is calculated based on the following formula 3:

[0022] D = GR' - RHOB' Formula 3;

[0023] In the formula, D is the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment; GR' is the normalized natural gamma value corresponding to each type of sweet spot segment; RHOB' is the normalized density value corresponding to each type of sweet spot segment.

[0024] In an optional implementation of the embodiment of the present application, the sweet spot type division is performed on all logging sampling data points of the horizontal well according to the difference between the numerical limit plate and the horizontal well to obtain the corresponding sweet spot type division result, including:

[0025] Taking the difference of the horizontal well as the ordinate and the depth of all the well logging sampling data points of the horizontal well as the ordinate, a rectangular coordinate distribution diagram is established;

[0026] Determine the limit difference of the sweet spot classification according to the numerical limit plate and the two types of sweet spot segments of the target layer of the pilot hole vertical well;

[0027] According to the numerical limit plate, the limit difference of the sweet spot classification and the rectangular coordinate distribution diagram, the sweet spots developed at the depths corresponding to all the logging sampling data points of the horizontal well are divided into two types of sweet spots to obtain the corresponding sweet spot type classification results.

[0028] In a second aspect, an embodiment of the present application provides a method for calculating the drilling rate of a sweet spot in a horizontal well, the method comprising:

[0029] According to the horizontal well sweet spot classification evaluation method described in the first aspect, a sweet spot type classification result is obtained;

[0030] The drilling rate of each type of sweet spot in the horizontal well is determined according to the sampling rate of the well logging data obtained in advance and the classification result of the sweet spot type.

[0031] In an optional implementation of the embodiment of the present application, determining the drilling rate of each type of sweet spot in the horizontal well according to the pre-obtained well logging data sampling rate and the sweet spot type classification result includes:

[0032] According to the previously obtained sampling rate of logging data and the classification result of the sweet spot type, the drilling rate of the two types of sweet spots in the horizontal well is calculated based on the following formula 4:

[0033] C = (P × S) / L Formula 4;

[0034] Wherein, C is the drilling rate of each type of sweet spot in the horizontal well; P is the sampling rate of the well logging data obtained in advance; S is the total number of sample points of each type of sweet spot; and L is the total length of the horizontal section of the horizontal well.

[0035] In a third aspect, an embodiment of the present application provides a horizontal well sweet spot classification and evaluation device, the device comprising:

[0036] The first determination module is used to determine the depth interval corresponding to each type of sweet spot segment according to the natural gamma and density logging data corresponding to the two types of sweet spots of the target layer of the pilot vertical well obtained in advance;

[0037] A second determination module is used to normalize the natural gamma and density logging data corresponding to each type of sweet spot segment, and determine the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment;

[0038] A third determination module is used to determine a numerical limit chart of the difference values ​​corresponding to two types of sweet spots according to the difference values ​​and depth intervals corresponding to each type of sweet spot segments;

[0039] The fourth determination module is used to normalize the natural gamma and density logging data of the horizontal well corresponding to the pilot vertical well obtained in advance, and determine the difference between the normalized natural gamma value and the density value of the horizontal well;

[0040] A classification module is used to classify all logging sampling data points of the horizontal well into sweet spot types according to the difference between the numerical limit plate and the horizontal well, so as to obtain corresponding sweet spot type classification results.

[0041] In a fourth aspect, an embodiment of the present application provides a device for calculating a sweet spot drilling rate of a horizontal well, the device comprising:

[0042] The first determination module is used to determine the depth interval corresponding to each type of sweet spot segment according to the natural gamma and density logging data corresponding to the two types of sweet spots of the target layer of the pilot vertical well obtained in advance;

[0043] A second determination module is used to normalize the natural gamma and density logging data corresponding to each type of sweet spot segment, and determine the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment;

[0044] A third determination module is used to determine a numerical limit chart of the difference values ​​corresponding to two types of sweet spots according to the difference values ​​and depth intervals corresponding to each type of sweet spot segments;

[0045] The fourth determination module is used to normalize the natural gamma and density logging data of the horizontal well corresponding to the pilot vertical well obtained in advance, and determine the difference between the normalized natural gamma value and the density value of the horizontal well;

[0046] A classification module, used for classifying all well logging sampling data points of the horizontal well into sweet spot types according to the difference between the numerical limit plate and the horizontal well, and obtaining corresponding sweet spot type classification results;

[0047] The fifth determination module is used to determine the drilling rate of each type of sweet spot in the horizontal well according to the pre-acquired sampling rate of the logging data and the sweet spot type classification result.

[0048] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned method for classifying and evaluating sweet spots in horizontal wells, and / or the method for calculating the drilling rate of sweet spots in horizontal wells.

[0049] In a sixth aspect, an embodiment of the present application provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for classifying and evaluating sweet spots in horizontal wells as described above and / or the method for calculating the drilling rate of sweet spots in horizontal wells are implemented.

[0050] In a seventh aspect, an embodiment of the present application provides a computer program product comprising instructions. When the computer program product is run on a computer device, the computer device executes the horizontal well sweet spot classification and evaluation method as described above, and / or the horizontal well sweet spot drilling rate calculation method.

[0051] In an eighth aspect, an embodiment of the present application provides a chip, the chip including a processor and a communication interface, the communication interface and the processor are coupled, and the processor is used to run a computer program or instruction to implement the horizontal well sweet spot classification and evaluation method as described above, and / or the horizontal well sweet spot drilling rate calculation method.

[0052] The beneficial effects of the above technical solution provided by the embodiment of the present application include at least:

[0053] The horizontal well sweet spot classification and evaluation method provided in the embodiment of the present application can directly classify the sweet spot type for each logging sampling data point of the horizontal well by determining the numerical limit chart of the normalized difference of natural gamma and density logging data corresponding to two types of sweet spots obtained based on the pilot vertical well, thereby realizing the classification and evaluation of the horizontal well sweet spots and clarifying the development location of the high-quality sweet spot development section of the horizontal well. The method is easy to operate and improves the efficiency of horizontal well sweet spot classification. It has important geological guidance significance for targeted optimization of fracturing schemes, improving single well fracturing capacity and single well EUR calculation.

[0054] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0055] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0057] Figure 1 A schematic diagram of the steps of the horizontal well sweet spot classification and evaluation method provided in an embodiment of the present application;

[0058] Figure 2 A rectangular coordinate distribution diagram of well logging data of a target section of a pilot vertical well in a certain study area provided in an embodiment of the present application;

[0059] Figure 3 for Figure 2 A schematic diagram of the distribution of depth intervals corresponding to two types of sweet spots in the target section of a pilot vertical well in a certain study area;

[0060] Figure 4 for Figure 2 A numerical limit chart of the difference between the normalized natural gamma value and the density value corresponding to two types of sweet spots in the target section of the pilot vertical well in a certain study area;

[0061] Figure 5 for Figure 2 A schematic diagram of the classification and evaluation results of the target sweet spot at 3200-3500 meters of the horizontal well corresponding to the pilot vertical well in a certain study area;

[0062] Figure 6 A schematic diagram of the steps of a method for calculating the sweet spot drilling rate of a horizontal well provided in an embodiment of the present application;

[0063] Figure 7 A schematic diagram of the structure of a horizontal well sweet spot classification and evaluation device provided in an embodiment of the present application;

[0064] Figure 8 A schematic diagram of the structure of a device for calculating the sweet spot drilling rate of a horizontal well provided in an embodiment of the present application. DETAILED DESCRIPTION

[0065] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0066] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0067] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0068] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0069] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0070] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0071] It should be understood that the size of the serial numbers of the steps in the following embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0072] In order to illustrate the technical solution of the present application, a specific embodiment is provided below for illustration.

[0073] The inventors found that in the prior art, horizontal wells have problems such as low single-well production and large production capacity differences. However, actual production shows that the plane and intra-layer heterogeneity of the sweet spot reservoir of unconventional oil and gas reservoirs is extremely strong. Therefore, how to identify and classify the types of sweet spots encountered by horizontal wells and clarify the development location of high-quality sweet spots has important geological guidance significance for targeted optimization of fracturing plans, improving single-well fracturing capacity and single-well EUR calculation. Based on this, the inventors have further researched and developed a pioneering new technical solution, made the present invention, and provided a horizontal well sweet spot classification and evaluation method, drilling rate calculation method and related devices.

[0074] Embodiment 1

[0075] The present application embodiment provides a method for classifying and evaluating sweet spots in horizontal wells, referring to Figure 1 As shown, the method includes:

[0076] S101: Determine the depth interval corresponding to each type of sweet spot segment according to the natural gamma and density logging data corresponding to two types of sweet spots of the target layer of the pilot vertical well obtained in advance.

[0077] In an embodiment of the present application, based on the sedimentary geological characteristics and reserve abundance of the study area obtained in advance, combined with the daily oil production included in the pre-obtained test oil production data of different depth sections of the pilot vertical well, the different depth sections are divided into two types of sweet spots. For example, the daily oil production of a certain depth section is 4 to 5 tons, which can be divided into a first type of sweet spot; the daily oil production of a certain depth section is 2 to 3 tons, which can be divided into a second type of sweet spot, wherein the threshold value of the daily oil production used to divide the sweet spot type is determined according to the actual production demand. After determining the two types of sweet spot segments of the target target layer of the pilot vertical well, the natural gamma logging data and density logging data corresponding to the two types of sweet spot segments of the target target layer are plotted in a rectangular coordinate system, and then the depth intervals corresponding to the two types of sweet spot segments are obtained.

[0078] S102: Normalizing the natural gamma and density logging data corresponding to each type of sweet spot segment, and determining the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment.

[0079] In the above step S102, the natural gamma and density logging data corresponding to each type of sweet spot segment are normalized to determine the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment, specifically including:

[0080] Normalizing the natural gamma and density logging data corresponding to each type of sweet spot segment to determine the normalized natural gamma value and density value corresponding to each type of sweet spot segment;

[0081] The normalized natural gamma value and the density value corresponding to each type of sweet spot segment are subtracted to determine the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment.

[0082] In the embodiment of the present application, normalizing the natural gamma and density logging data corresponding to each type of sweet spot segment to determine the normalized natural gamma value and density value corresponding to each type of sweet spot segment specifically includes:

[0083] According to the natural gamma logging data corresponding to each type of sweet spot segment, the normalized natural gamma value corresponding to each type of sweet spot segment is calculated based on the following formula 1:

[0084]

[0085] Wherein, GR' is the normalized natural gamma value corresponding to each type of sweet spot segment; GR is the original natural gamma value corresponding to each type of sweet spot segment obtained in advance; min(GR) is the minimum value of the natural gamma value in the natural gamma logging data corresponding to each type of sweet spot segment; max(GR) is the maximum value of the natural gamma value in the natural gamma logging data corresponding to each type of sweet spot segment;

[0086] According to the density logging data corresponding to each type of sweet spot segment, the normalized density value corresponding to each type of sweet spot segment is calculated based on the following formula 2:

[0087]

[0088] Wherein, RHOB' is the normalized density value corresponding to each type of sweet spot segment; RHOB is the original density value corresponding to each type of sweet spot segment obtained in advance; min(RHOB) is the minimum density value in the density logging data corresponding to each type of sweet spot segment; max(RHOB) is the maximum density value in the density logging data corresponding to each type of sweet spot segment.

[0089] In the embodiment of the present application, the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment is determined, and the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment is determined, specifically including:

[0090] According to the normalized natural gamma value and density value corresponding to each type of sweet spot segment, the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment is calculated based on the following formula 3:

[0091] D = GR' - RHOB' Formula 3;

[0092] In the formula, D is the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment; GR' is the normalized natural gamma value corresponding to each type of sweet spot segment; RHOB' is the normalized density value corresponding to each type of sweet spot segment.

[0093] In the implementation of this application, the natural gamma logging data and density logging data corresponding to the two types of sweet spots in the target layer are normalized by the above formula 1 and formula 2, and the result values ​​obtained by normalizing the natural gamma logging data and density logging data are mapped to [0,1], and then the normalized natural gamma value and density value are subtracted to obtain the difference between the normalized natural gamma value and density value corresponding to each type of sweet spot. Then, the difference between the natural gamma value and the density value is used as the ordinate of the rectangular coordinate system, and the depth data corresponding to each logging data sampling point is used as the abscissa of the rectangular coordinate system to establish a rectangular coordinate system diagram.

[0094] S103: Determine a numerical limit chart of the difference values ​​corresponding to two types of sweet spot segments according to the difference values ​​and depth intervals corresponding to each type of sweet spot segments.

[0095] In an embodiment of the present application, based on the distribution interval characteristics of the difference between the normalized natural gamma values ​​and the density values ​​corresponding to the two types of sweet spot segments and the depth intervals corresponding to the two types of sweet spot segments in a rectangular coordinate system, a numerical limit map of the difference between the normalized natural gamma values ​​and the density values ​​corresponding to the two types of sweet spot segments is obtained.

[0096] S104: normalizing the natural gamma and density logging data of the horizontal well corresponding to the pilot vertical well obtained in advance, and determining the difference between the normalized natural gamma value and the density value of the horizontal well.

[0097] In the embodiment of the present application, the natural gamma logging data and density logging data of the horizontal well corresponding to the pilot vertical well obtained in advance are normalized, the difference between the normalized natural gamma value and the density value is calculated, and the difference is plotted in a rectangular coordinate system. The normalized natural gamma value and density value are obtained in the same manner as the normalization of the natural gamma logging data and the density logging data in step S102, that is, the result values ​​are mapped to between [0,1].

[0098] According to the natural gamma logging data of the horizontal well, the normalized natural gamma value of the horizontal well is calculated based on the following formula 1:

[0099]

[0100] Wherein, GR' is the normalized natural gamma value of the horizontal well; GR is the original natural gamma value of the horizontal well obtained in advance; min(GR) is the minimum value of the natural gamma value in the natural gamma logging data of the horizontal well; max(GR) is the maximum value of the natural gamma value in the natural gamma logging data of the horizontal well;

[0101] According to the density logging data of the horizontal well, the normalized density value of the horizontal well is calculated based on the following formula 2:

[0102]

[0103] Wherein, RHOB' is the normalized density value of the horizontal well; RHOB is the original density value of the horizontal well obtained in advance; min(RHOB) is the minimum density value in the density logging data of the horizontal well; max(RHOB) is the maximum density value in the density logging data of the horizontal well.

[0104] According to the normalized natural gamma value and density value of the horizontal well, the difference between the normalized natural gamma value and the density value of the horizontal well is calculated based on the following formula 3:

[0105] D = GR' - RHOB' Formula 3;

[0106] Where D is the difference between the normalized natural gamma value and the density value of the horizontal well; GR' is the normalized natural gamma value of the horizontal well; RHOB' is the normalized density value of the horizontal well.

[0107] After obtaining the difference between the natural gamma value and the density value of the horizontal well, a rectangular coordinate distribution diagram is established with the difference between the natural gamma value and the density value as the ordinate of the rectangular coordinate system and the depth data corresponding to each logging data sampling point as the abscissa of the rectangular coordinate system.

[0108] S105: According to the numerical limit plate and the difference of the horizontal well, all logging sampling data points of the horizontal well are divided into sweet spot types to obtain corresponding sweet spot type division results.

[0109] In the above step S105, the sweet spot type classification is performed on all well logging sampling data points of the horizontal well according to the difference between the numerical limit plate and the horizontal well to obtain the corresponding sweet spot type classification result, which specifically includes:

[0110] Taking the difference of the horizontal well as the ordinate and the depth of all the well logging sampling data points of the horizontal well as the ordinate, a rectangular coordinate distribution diagram is established;

[0111] Determine the limit difference of the sweet spot classification according to the numerical limit plate and the two types of sweet spot segments of the target layer of the pilot hole vertical well;

[0112] According to the numerical limit plate, the limit difference of the sweet spot classification and the rectangular coordinate distribution diagram, the sweet spots developed at the depths corresponding to all the logging sampling data points of the horizontal well are divided into two types of sweet spots to obtain the corresponding sweet spot type classification results.

[0113] In the embodiment of the present application, according to the numerical limit chart of the difference between the normalized natural gamma value and the density value corresponding to the two types of sweet spots obtained in step S103, the rectangular coordinate distribution diagram is obtained in combination with the numerical distribution of the difference between the normalized natural gamma value and the density value of the horizontal well. In the numerical limit chart of the difference between the normalized natural gamma value and the density value corresponding to the two types of sweet spots, according to the division of the two types of sweet spots of the target layer of the pilot vertical well, the boundary difference of the sweet spot classification can be determined according to the division boundary, that is, the difference between the normalized natural gamma value and the density value corresponding to the sweet spot division boundary, and the size relationship between the difference between the normalized natural gamma value and the density value corresponding to different depths of the two types of sweet spots and the boundary difference of the sweet spot classification is determined, for example, the difference corresponding to different depths in the first type of sweet spot segment is greater than 0.10, and the difference corresponding to different depths in the second type of sweet spot segment is less than 0.10. According to the boundary difference of the sweet spot classification, a straight line with the vertical coordinate being the boundary difference of the sweet spot classification is drawn on the rectangular coordinate distribution diagram, and the sweet spot developed at the depth corresponding to each logging sampling data point of the horizontal section of the horizontal well is divided into two types of sweet spots, and the corresponding sweet spot type division results are obtained. For example, if the differences corresponding to different depths in the first type of sweet spot segment in the numerical boundary plate are all greater than 0.10, and the differences corresponding to different depths in the second type of sweet spot segment are all less than 0.10, then in the rectangular coordinate distribution diagram, the sweet spot developed at the depth corresponding to the logging sampling data point above the straight line with the vertical coordinate being the boundary difference of the sweet spot classification is divided into the first type of sweet spot, and the sweet spot developed at the depth corresponding to the logging sampling data point below the straight line with the vertical coordinate being the boundary difference of the sweet spot classification is divided into the second type of sweet spot.

[0114] In a specific embodiment, according to the sedimentary geological characteristics and reserve abundance of a certain study area, combined with the daily oil production included in the oil test production data of different depth sections of the pilot vertical well, the sweet spot types of the target section are divided into Class I sweet spots and Class II sweet spots. The natural gamma logging data and density logging data corresponding to the two types of sweet spots of the target layer are obtained through actual measurement and calculation as shown in Table 1 below:

[0115] Table 1

[0116]

[0117]

[0118] After obtaining the natural gamma logging data and density logging data corresponding to the two types of sweet spots in the target layer, they are plotted in the rectangular coordinate system to obtain the following: Figure 2 The rectangular coordinate distribution diagram of the logging data of the target section of the pilot vertical well is shown in the figure. From this, the distribution of the depth intervals corresponding to the two types of sweet spots can be obtained as follows: Figure 3 As shown, Figure 3The left side of the figure shows the distribution of type I sweet spots and the corresponding depth range, and the right side shows the distribution of type II sweet spots and the corresponding depth range.

[0119] The natural gamma and density logging data corresponding to the two types of sweet spots of the target layer are normalized, and the difference between the normalized natural gamma value and the density value is calculated as shown in Table 2. The difference between the natural gamma value and the density value is the ordinate of the rectangular coordinate system, and the depth data corresponding to each logging data sampling point is the abscissa of the rectangular coordinate system. The rectangular coordinate system is plotted to establish the following: Figure 4 The numerical limit chart of the difference between the normalized natural gamma value and the density value corresponding to the two types of sweet spots shown in the figure shows the sweet spots I and II areas divided by the daily oil production data of the pilot well test production data. The corresponding differences at different depths in the sweet spot I segment are all greater than 0.10, and the corresponding differences at different depths in the sweet spot II segment are all less than 0.10. It can be obtained that the horizontal dotted line at the difference of 0.10 is the boundary dividing the two types of sweet spots, that is, the boundary difference of the sweet spot classification is 0.10.

[0120] Table 2

[0121]

[0122]

[0123] The natural gamma and density logging data of the horizontal well corresponding to the pilot vertical well obtained in advance are normalized, and the difference between the normalized natural gamma value and the density value of the horizontal well is calculated, as shown in Table 3 below, which shows the original logging data corresponding to the target section of the horizontal well with a depth of 3200-3236 meters and the normalized logging data table:

[0124] Table 3

[0125]

[0126]

[0127]

[0128]

[0129]

[0130]

[0131]

[0132]

[0133] Based on the numerical limit chart of the difference between the normalized natural gamma value and the density value corresponding to the two types of sweet spots, the sweet spots developed at the depth corresponding to each logging sampling data point of the horizontal well are classified. Taking the depth range of 3200-3500 meters as an example, the classification and evaluation results of the sweet spots in the target section of the horizontal well are as follows: Figure 5 As shown in the figure, the dotted line is the dotted line of 0.10, the boundary difference of the sweet spot classification obtained in the numerical boundary plate of the difference between the normalized natural gamma value and the density value corresponding to the two types of sweet spot segments. According to the position of the boundary difference of the two types of sweet spots relative to the sweet spot classification in the numerical boundary plate, that is, the differences corresponding to different depths of type I sweet spots are all greater than 0.10, and the differences corresponding to different depths of type II sweet spots are all less than 0.10. The sweet spots developed at the depths corresponding to the logging sampling data points above the dotted line in the figure can be classified as type I sweet spots, and the sweet spots developed at the depths corresponding to the logging sampling data points below the dotted line can be classified as type II sweet spots.

[0134] Through the above-mentioned classification and evaluation process of the horizontal well sweet spots in the study area, it can be found that the horizontal well sweet spot classification and evaluation method provided by the embodiment of the present invention can accurately determine the development position of the high-quality sweet spot development section of the horizontal well, and has created a new era in technology for the development of horizontal wells in the development of tight oil reservoirs. According to the classification and evaluation results of the horizontal well sweet spots, an optimized fracturing plan for the development of horizontal wells can be proposed in a targeted manner, which is beneficial to improving the single well fracturing capacity and single well EUR calculation, and has achieved unexpected technical effects.

[0135] The horizontal well sweet spot classification and evaluation method provided in the embodiment of the present application divides each logging sampling data point of the horizontal well into sweet spot types based on the numerical limit chart of the normalized difference of natural gamma and density logging data corresponding to two types of sweet spots obtained from the pilot vertical well, thereby achieving classification and evaluation of the horizontal well sweet spots and clarifying the development location of the high-quality sweet spot development section of the horizontal well. This method has important geological guiding significance for targeted optimization of fracturing schemes, improving single well fracturing capacity and single well EUR calculation.

[0136] Embodiment 2

[0137] Based on the same inventive concept, the present application embodiment also provides a method for calculating the drilling rate of a horizontal well sweet spot, referring to Figure 6 As shown, the method includes:

[0138] S101: Determine the depth interval corresponding to each type of sweet spot segment according to the natural gamma and density logging data corresponding to the two types of sweet spots of the target layer of the pilot vertical well obtained in advance;

[0139] S102: normalizing the natural gamma and density logging data corresponding to each type of sweet spot segment, and determining the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment;

[0140] S103: determining a numerical limit chart of the difference values ​​corresponding to two types of sweet spots according to the difference values ​​and depth intervals corresponding to each type of sweet spot segments;

[0141] S104: normalizing the natural gamma and density logging data of the horizontal well corresponding to the pilot vertical well obtained in advance, and determining the difference between the normalized natural gamma value and the density value of the horizontal well;

[0142] S105: According to the numerical limit plate and the difference of the horizontal well, all well logging sampling data points of the horizontal well are divided into sweet spot types to obtain corresponding sweet spot type division results;

[0143] S106: Determine the drilling rate of each type of sweet spot in the horizontal well according to the previously obtained sampling rate of the logging data and the classification result of the sweet spot type.

[0144] In the embodiment of the present invention, the specific implementation of the above steps S101 to S105 can refer to the detailed description of the corresponding steps in the horizontal well sweet spot classification and evaluation method described in the above embodiment 1, and will not be repeated here.

[0145] In the embodiment of the present application, in the above step S106, the drilling rate of each type of sweet spot of the horizontal well is determined according to the pre-obtained well logging data sampling rate and the sweet spot type classification result, specifically including:

[0146] According to the previously obtained sampling rate of logging data and the classification result of the sweet spot type, the drilling rate of the two types of sweet spots in the horizontal well is calculated based on the following formula 4:

[0147] C = (P × S) / L Formula 4;

[0148] Wherein, C is the drilling rate of each type of sweet spot in the horizontal well; P is the sampling rate of the well logging data obtained in advance; S is the total number of sample points of each type of sweet spot; and L is the total length of the horizontal section of the horizontal well.

[0149] In a specific embodiment, after obtaining the sweet spot type classification result of the horizontal well as the method described in Example 1, the logging data sampling rate can be determined to be 0.125 by the logging instrument. The number of logging sampling data points, i.e., the number of sampling points, the total length and the horizontal section length of the two types of sweet spots obtained according to actual measurement are shown in Table 4 below, which is a table of calculation results of the drilling rate of the two types of sweet spots in the horizontal well:

[0150] Table 4

[0151] Number of dessert samples of type I 642.00 Total length of Class I sweet spot (m) 80.25 Type II dessert sample points 1759.00 Total length of Class II sweet spot (m) 219.88 Horizontal section length (m) 300.00 Type I sweet spot drilling rate (%) 26.75 Type II sweet spot drilling rate (%) 73.29

[0152] From Table 4 above, we can see that the number of Class I sweet spot sample points is 642.00, the total length of Class I sweet spot is 80.25 meters, the horizontal section length is 300.00, and the logging sampling rate is 0.125. Substituting these data into the above formula 4, we can get the drilling rate of Class I sweet spot is 26.75%:

[0153] C=(P×S) / L=(0.125×642.00) / 300.00=26.75%;

[0154] The number of sample points of Class II sweet spots is 1759.00, the total length of Class II sweet spots is 219.88 meters, the length of the horizontal section is 300.00, and the logging sampling rate is 0.125. Substituting these data into the above formula 4, the drilling rate of Class I sweet spots is 73.29%:

[0155] C=(P×S) / L=(0.125×1759.00) / 300.00=73.29%.

[0156] The method for calculating the drilling rate of sweet spots in horizontal wells provided in the embodiment of the present application divides each logging sampling data point of the horizontal well into sweet spot types based on the numerical limit chart of the normalized difference of natural gamma and density logging data corresponding to two types of sweet spots obtained from the pilot vertical well, thereby realizing the classification evaluation of the sweet spots in the horizontal well, thereby calculating the drilling rate of the two types of sweet spots and clarifying the development position of the high-quality sweet spot development section of the horizontal well. This method has important geological guiding significance for the targeted optimization of fracturing schemes, improving the single well fracturing capacity and single well EUR calculation.

[0157] Embodiment 3

[0158] Based on the same inventive concept, the present application also provides a horizontal well sweet spot classification and evaluation device, referring to Figure 7 As shown, the device comprises:

[0159] The first determination module 101 is used to determine the depth interval corresponding to each type of sweet spot segment according to the natural gamma and density logging data corresponding to the two types of sweet spots of the target layer of the pilot vertical well obtained in advance;

[0160] The second determination module 102 is used to normalize the natural gamma and density logging data corresponding to each type of sweet spot segment, and determine the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment;

[0161] A third determination module 103 is used to determine a numerical limit chart of the difference values ​​corresponding to two types of sweet spots according to the difference values ​​and depth intervals corresponding to each type of sweet spot segment;

[0162] The fourth determination module 104 is used to normalize the natural gamma and density logging data of the horizontal well corresponding to the pilot vertical well obtained in advance, and determine the difference between the normalized natural gamma value and the density value of the horizontal well;

[0163] The classification module 105 is used to classify all the logging sampling data points of the horizontal well into sweet spot types according to the difference between the numerical limit plate and the horizontal well, and obtain corresponding sweet spot type classification results.

[0164] Embodiment 4

[0165] Based on the same inventive concept, the present application embodiment also provides a device for calculating the drilling rate of a sweet spot in a horizontal well, referring to Figure 8 As shown, the device comprises:

[0166] The first determination module 101 is used to determine the depth interval corresponding to each type of sweet spot segment according to the natural gamma and density logging data corresponding to the two types of sweet spots of the target layer of the pilot vertical well obtained in advance;

[0167] The second determination module 102 is used to normalize the natural gamma and density logging data corresponding to each type of sweet spot segment, and determine the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment;

[0168] A third determination module 103 is used to determine a numerical limit plate of the difference values ​​corresponding to two types of sweet spots according to the difference values ​​and depth intervals corresponding to each type of sweet spot segment;

[0169] The fourth determination module 104 is used to normalize the natural gamma and density logging data of the horizontal well corresponding to the pilot vertical well obtained in advance, and determine the difference between the normalized natural gamma value and the density value of the horizontal well;

[0170] A classification module 105 is used to classify all logging sampling data points of the horizontal well into sweet spot types according to the numerical limit plate and the difference of the horizontal well, and obtain corresponding sweet spot type classification results;

[0171] The fifth determination module 106 is used to determine the drilling rate of each type of sweet spot in the horizontal well according to the pre-acquired sampling rate of the logging data and the sweet spot type classification result.

[0172] Embodiment 5

[0173] Based on the same inventive concept, an embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, it implements the horizontal well sweet spot classification and evaluation method described in the above embodiment one, and / or the horizontal well sweet spot drilling rate calculation method described in the above embodiment two.

[0174] Embodiment 6

[0175] Based on the same inventive concept, an embodiment of the present application also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the horizontal well sweet spot classification and evaluation method as described in the above-mentioned embodiment 1, and / or the horizontal well sweet spot drilling rate calculation method as described in the above-mentioned embodiment 2.

[0176] Embodiment 7

[0177] Based on the same inventive concept, an embodiment of the present application also provides a computer program product comprising instructions. When the computer program product is run on a computer device, the computer device executes the horizontal well sweet spot classification and evaluation method described in the above embodiment one, and / or the horizontal well sweet spot drilling rate calculation method described in the above embodiment two.

[0178] Embodiment 8

[0179] Based on the same inventive concept, an embodiment of the present application also provides a chip, the chip includes a processor and a communication interface, the communication interface and the processor are coupled, and the processor is used to run a computer program or instruction to implement the horizontal well sweet spot classification and evaluation method described in the above embodiment one, and / or the horizontal well sweet spot drilling rate calculation method described in the above embodiment two.

[0180] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0181] The present invention is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0182] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0183] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0184] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for classifying and evaluating sweet spots in horizontal wells, characterized in that: include: Determine the depth interval corresponding to each type of sweet spot segment based on the natural gamma and density logging data corresponding to the two types of sweet spots of the target layer of the pilot vertical well obtained in advance; Normalizing the natural gamma and density logging data corresponding to each type of sweet spot segment, and determining the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment; Determine a numerical limit chart of the difference values ​​corresponding to two types of sweet spots according to the difference values ​​and depth intervals corresponding to each type of sweet spot segments; Normalizing the natural gamma and density logging data of the horizontal well corresponding to the pilot vertical well obtained in advance, and determining the difference between the normalized natural gamma value and the density value of the horizontal well; According to the difference between the numerical limit plate and the horizontal well, all logging sampling data points of the horizontal well are divided into sweet spot types to obtain corresponding sweet spot type division results.

2. The method according to claim 1, characterized in that The step of normalizing the natural gamma and density logging data corresponding to each type of sweet spot segment and determining the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment comprises: Normalizing the natural gamma and density logging data corresponding to each type of sweet spot segment to determine the normalized natural gamma value and density value corresponding to each type of sweet spot segment; The normalized natural gamma value and the density value corresponding to each type of sweet spot segment are subtracted to determine the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment.

3. The method according to claim 1, characterized in that The step of normalizing the natural gamma and density logging data corresponding to each type of sweet spot segment to determine the normalized natural gamma value and density value corresponding to each type of sweet spot segment includes: According to the natural gamma logging data corresponding to each type of sweet spot segment, the normalized natural gamma value corresponding to each type of sweet spot segment is calculated based on the following formula 1: Wherein, GR' is the normalized natural gamma value corresponding to each type of sweet spot segment; GR is the original natural gamma value corresponding to each type of sweet spot segment obtained in advance; min(GR) is the minimum value of the natural gamma value in the natural gamma logging data corresponding to each type of sweet spot segment; max(GR) is the maximum value of the natural gamma value in the natural gamma logging data corresponding to each type of sweet spot segment; According to the density logging data corresponding to each type of sweet spot segment, the normalized density value corresponding to each type of sweet spot segment is calculated based on the following formula 2: Wherein, RHOB' is the normalized density value corresponding to each type of sweet spot segment; RHOB is the original density value corresponding to each type of sweet spot segment obtained in advance; min(RHOB) is the minimum density value in the density logging data corresponding to each type of sweet spot segment; max(RHOB) is the maximum density value in the density logging data corresponding to each type of sweet spot segment.

4. The method according to claim 1, characterized in that The step of subtracting the normalized natural gamma value and the density value corresponding to each type of sweet spot segment to determine the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment includes: According to the normalized natural gamma value and density value corresponding to each type of sweet spot segment, the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment is calculated based on the following formula 3: D = GR' - RHOB' Formula 3; In the formula, D is the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment; GR' is the normalized natural gamma value corresponding to each type of sweet spot segment; RHOB' is the normalized density value corresponding to each type of sweet spot segment.

5. The method according to claim 1, characterized in that The method of dividing all well logging sampling data points of the horizontal well into sweet spot types according to the difference between the numerical limit plate and the horizontal well to obtain corresponding sweet spot type division results includes: Taking the difference of the horizontal well as the ordinate and the depth of all the well logging sampling data points of the horizontal well as the ordinate, a rectangular coordinate distribution diagram is established; Determine the limit difference of the sweet spot classification according to the numerical limit plate and the two types of sweet spot segments of the target layer of the pilot hole vertical well; According to the numerical limit plate, the limit difference of the sweet spot classification and the rectangular coordinate distribution diagram, the sweet spots developed at the depths corresponding to all the logging sampling data points of the horizontal well are divided into two types of sweet spots to obtain the corresponding sweet spot type classification results.

6. A method for calculating the drilling rate of sweet spots in horizontal wells, characterized in that: include: The sweet spot classification result is obtained according to the horizontal well sweet spot classification evaluation method according to any one of claims 1 to 5; The drilling rate of each type of sweet spot in the horizontal well is determined according to the sampling rate of the well logging data obtained in advance and the classification result of the sweet spot type.

7. The method according to claim 6, characterized in that Determining the drilling rate of each type of sweet spot in the horizontal well according to the sampling rate of the well logging data obtained in advance and the sweet spot type classification result includes: According to the previously obtained sampling rate of logging data and the classification result of the sweet spot type, the drilling rate of the two types of sweet spots in the horizontal well is calculated based on the following formula 4: C = (P × S) / L Formula 4; Wherein, C is the drilling rate of each type of sweet spot in the horizontal well; P is the sampling rate of the well logging data obtained in advance; S is the total number of sample points of each type of sweet spot; and L is the total length of the horizontal section of the horizontal well.

8. A horizontal well sweet spot classification and evaluation device, characterized in that: include: The first determination module is used to determine the depth interval corresponding to each type of sweet spot segment according to the natural gamma and density logging data corresponding to the two types of sweet spots of the target layer of the pilot vertical well obtained in advance; A second determination module is used to normalize the natural gamma and density logging data corresponding to each type of sweet spot segment, and determine the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment; A third determination module is used to determine a numerical limit chart of the difference values ​​corresponding to two types of sweet spots according to the difference values ​​and depth intervals corresponding to each type of sweet spot segments; The fourth determination module is used to normalize the natural gamma and density logging data of the horizontal well corresponding to the pilot vertical well obtained in advance, and determine the difference between the normalized natural gamma value and the density value of the horizontal well; A classification module is used to classify all logging sampling data points of the horizontal well into sweet spot types according to the difference between the numerical limit plate and the horizontal well, so as to obtain corresponding sweet spot type classification results.

9. A device for calculating the drilling rate of sweet spots in horizontal wells, characterized in that: include: The first determination module is used to determine the depth interval corresponding to each type of sweet spot segment according to the natural gamma and density logging data corresponding to the two types of sweet spots of the target layer of the pilot vertical well obtained in advance; A second determination module is used to normalize the natural gamma and density logging data corresponding to each type of sweet spot segment, and determine the difference between the normalized natural gamma value and the density value corresponding to each type of sweet spot segment; A third determination module is used to determine a numerical limit chart of the difference values ​​corresponding to two types of sweet spots according to the difference values ​​and depth intervals corresponding to each type of sweet spot segments; The fourth determination module is used to normalize the natural gamma and density logging data of the horizontal well corresponding to the pilot vertical well obtained in advance, and determine the difference between the normalized natural gamma value and the density value of the horizontal well; A classification module, used for classifying all well logging sampling data points of the horizontal well into sweet spot types according to the difference between the numerical limit plate and the horizontal well, and obtaining corresponding sweet spot type classification results; The fifth determination module is used to determine the drilling rate of each type of sweet spot in the horizontal well according to the pre-acquired sampling rate of the logging data and the sweet spot type classification result.

10. A computer-readable storage medium, in which instructions are stored. When the instructions are executed on a terminal, the terminal executes the horizontal well sweet spot classification and evaluation method as described in any one of claims 1 to 5, and / or the horizontal well sweet spot drilling rate calculation method as described in claim 6 or 7.

11. A computer device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for classifying and evaluating sweet spots in horizontal wells as described in any one of claims 1 to 5 and / or the method for calculating the drilling rate of sweet spots in horizontal wells as described in claim 6 or 7 is implemented.

12. A computer program product comprising instructions, which, when executed on a computer device, enables the computer device to execute the method for classifying and evaluating sweet spots in horizontal wells as described in any one of claims 1 to 5, and / or the method for calculating the drilling rate of sweet spots in horizontal wells as described in claim 6 or 7.

13. A chip, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a computer program or instruction to implement the horizontal well sweet spot classification and evaluation method as described in any one of claims 1 to 5, and / or the horizontal well sweet spot drilling rate calculation method as described in claim 6 or 7.

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