Automatic data homing method applied to interpretation and evaluation

Abstract

The invention discloses a data automatic homing method applied to interpretation and evaluation, relates to the technical field of petroleum and natural gas exploration and development, and solves the problems that depth errors exist among an interpretation conclusion, logging lithology and logging while-drilling data due to the fact that existing logging lithology and the logging while-drilling data on a logging profile are difficult to hom. According to the method, a section composed of a reservoir and a non-reservoir is obtained through reservoir and non-reservoir division, the section serves as a framework of filling logging lithology, and a homing section is determined; lithology homing and while-drilling data homing are carried out. And finally, after all while-drilling data are homed, the well depth before top and bottom rock electrical difference correction is reversely deduced, and automatic homing is completed. According to the method, the working efficiency is improved, the influence of uncontrollable factors is reduced, the discrete degree of data in the interpretation chart is reduced, the interpretation precision is improved, and a solid foundation is laid for realizing digital and automatic logging.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas exploration and development, and particularly to a method for automatically aligning data for interpretation and evaluation. Background Art

[0002] Currently, due to the different expansion and contraction coefficients of the drill string used in the logging process and the logging cable, there is a "lithology-electric logging difference" between the logging profile and the electric logging profile. Later production processes such as well testing and perforation are based on the electric logging depth as the standard well depth, and the interpretation and evaluation conclusions ultimately need to be aligned according to the electric logging depth. However, currently, only the interpretation conclusions are manually aligned, and it is difficult to align the lithology of the logging and the logging-while-drilling data on the logging profile, resulting in depth errors between the interpretation conclusions and the logging lithology and the logging-while-drilling data, which affects the interpretation efficiency, the accuracy of the interpretation chart, and the interpretation accuracy.

[0003] In the prior art, in the master's thesis published by Cao Qi et al. from Northeast Petroleum University in January 2020, "Research on the Method of Logging Profile Alignment and Interpretation Processing Based on Data Mining", this technology only proposes a method for lithology alignment and cannot solve the problem of aligning the logging-while-drilling data on the logging profile.

[0004] Therefore, the present invention provides a method for automatically aligning lithology data and logging-while-drilling data (such as gas logging data, geochemical data, etc.) on the logging profile according to the electric logging depth and the electric logging curve, and restoring the true underground lithology and its logging-while-drilling data. Summary of the Invention

[0005] In order to solve the problems in the prior art that it is difficult to align both the logging lithology and the logging-while-drilling data on the logging profile, resulting in depth errors between the interpretation conclusions and the logging lithology and the logging-while-drilling data, and thus affecting the final interpretation efficiency, accuracy, and precision, the present invention provides a method for automatically aligning data for interpretation and evaluation.

[0006] The method for automatically aligning data for interpretation and evaluation is implemented by the following steps:

[0007] Step 1: Divide the reservoir and non-reservoir to obtain a profile composed of the reservoir and non-reservoir, and this profile serves as the framework for filling the logging lithology, which is called the alignment profile;

[0008] Step 2: Align the lithology;

[0009] Step 2.1: Correct the lithology-electric logging difference;

[0010] Taking the top and bottom of the same-layer formation in the alignment profile as the scale by layer, correct the lithology-electric logging difference at the top and bottom of the layer in the original logging profile to obtain the corrected original logging profile

[0011] Step 2.2: Match and fill the lithology;

[0012] Based on the positional relationship between the reservoir and non-reservoir in the homing profile and the specific lithology in the corrected original logging profile, the lithology filling of the homing profile is carried out through the matching and filling algorithm;

[0013] During the process of matching the reservoir and non-reservoir in the homing profile with the specific lithology in the corrected original logging profile, the positions of each lithology in the corrected original logging profile are located, and then the positions of each lithology filled into the homing profile in the corrected original logging profile and the positions of the lithology in the original logging profile are locked, so as to establish the connection between the homing profile, the corrected original logging profile and the original logging profile; Obtain the lithology homing profile;

[0014] Step Three: In-well data homing;

[0015] According to the relationship between the lithology homing profile obtained in Step Two and the original logging profile, determine the in-well data carried by each logging lithology, and allocate the in-well data to the homing profile to achieve in-well data homing;

[0016] Step Four: After all the in-well data are homed, back-calculate the well depth before the top-bottom litho-electric difference correction to complete the automatic homing.

[0017] The beneficial effects of the present invention: The key of the homing method described in the present invention is to establish the connection between the electric logging profile and the logging profile: after electric logging, the well logging interpreter provides the electric logging interpretation conclusion to interpret the reservoir, and the reservoir and non-reservoir can be divided within this layer based on the electric logging data boundary of the reservoir. The divided reservoir and non-reservoir are used as the framework for filling the logging lithology, and this profile is called the homing profile (the homing profile consists of several homing segments).

[0018] Taking the relationship between the homing profile and the original logging profile as a link and based on the principle of proximity of the same type of lithology, basic assignment and complex model assignment processing are carried out on the homing segments. In this process, the basic lithology homing and the connection between the electric logging profile and the logging profile are completed, and then the special lithology is defined. According to the electric logging standard of the special lithology, the litho-electric difference within this layer is finely adjusted, laying a foundation for more accurate in-well data homing.

[0019] Finally, the in-well data homing is carried out. Based on the relationship between the electric logging profile and the logging profile established before, the in-well data carried by each logging lithology can be accurately located, and these in-well data are allocated to the homing segments according to a certain mathematical method to achieve in-well data homing. Finally, the automatic homing of lithology and in-well data is realized.

[0020] The homing method described in the present invention uses computer language and mathematical algorithms to home the logging profile according to the electric logging depth, improving work efficiency, providing a standardized and digital statistical method for the data statistics in the production of interpretation charts, reducing the influence of uncontrollable factors, reducing the dispersion degree of data in the interpretation charts, improving the interpretation accuracy, and laying a solid foundation for realizing digital and automated logging. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a flowchart of the data automatic homing method applied to interpretation and evaluation described in the present invention;

[0022] Figure 2 It is a schematic diagram of the extended processing in fine characterization;

[0023] Figure 3 It is a schematic diagram of dividing the reservoir and non-reservoir;

[0024] Figure 4 It is a schematic diagram of the rock-electric difference correction for the bottom-only and topless model of a certain formation;

[0025] Figure 5 It is a schematic diagram of the rock-electric difference correction for the top-only and bottomless model of a certain formation;

[0026] Figure 6 It is a schematic diagram of the rock-electric difference correction for the top-and-bottom model of a certain formation;

[0027] Figure 7 It is an inclusion relationship: the reservoir homing section is included in the original reservoir lithology schematic diagram;

[0028] Figure 8 It is an inclusion relationship: the reservoir homing section is included in the original non-reservoir lithology schematic diagram;

[0029] Figure 9 It is an inclusion relationship: the non-reservoir homing section is included in the original non-reservoir lithology schematic diagram;

[0030] Figure 10 It is an inclusion relationship: the non-reservoir homing section is included in the original reservoir lithology schematic diagram;

[0031] Figure 11 It is an across relationship: the reservoir homing section crosses 0 original reservoir lithology schematic diagrams;

[0032] Figure 12 It is an across relationship: the reservoir homing section crosses 1 original reservoir lithology schematic diagram;

[0033] Figure 13 It is an across relationship: the reservoir homing section crosses multiple original reservoir lithology schematic diagrams;

[0034] Figure 14It is a cross relationship: the non-reservoir homing section crosses the schematic diagram of 0 non-reservoir original lithologies;

[0035] Figure 15 It is a cross relationship: the non-reservoir homing section crosses the schematic diagram of 1 non-reservoir original lithology;

[0036] Figure 16 It is a cross relationship: the non-reservoir homing section crosses the schematic diagram of multiple non-reservoir original lithologies;

[0037] Figure 17 It is the schematic diagram of reservoir-type interlayers;

[0038] Figure 18 It is the schematic diagram of non-reservoir-type interlayers;

[0039] Figure 19 It is the schematic diagram of the kite of the special homing section;

[0040] Figure 20 It is the schematic diagram of the kite judgment of the special homing section;

[0041] Figure 21 It is the schematic diagram of the reservoir homing section included in the reservoir original lithology type assignment model;

[0042] Figure 22 It is the schematic diagram of the reservoir homing section included in the non-reservoir original lithology type assignment model;

[0043] Figure 23 It is the schematic diagram of the non-reservoir homing section included in the non-reservoir original lithology type assignment model;

[0044] Figure 24 It is the schematic diagram of the non-reservoir homing section included in the reservoir original lithology type assignment model;

[0045] Figure 25 It is the schematic diagram of the reservoir homing section crossing 0 reservoir original lithology type assignment models;

[0046] Figure 26 It is the schematic diagram of the reservoir homing section crossing one reservoir original lithology type assignment model;

[0047] Figure 27 It is the schematic diagram of the non-reservoir homing section crossing 0 non-reservoir original lithology type assignment models;

[0048] Figure 28 It is the schematic diagram of the non-reservoir homing section crossing one non-reservoir original lithology type assignment model;

[0049] Figure 29 It is the schematic diagram of one form of interlayers;

[0050] Figure 30 It is the schematic diagram of another form of interlayers;

[0051] Figure 31 Schematic diagram of other forms of interlayers

[0052] Figure 32 Schematic diagram of the influence of lithology source on the assignment of non-reservoir homing sections across multiple non-reservoir original lithology class models

[0053] Figure 33 Schematic diagram of the influence of special homing sections on the assignment of non-reservoir homing sections across multiple non-reservoir original lithology class models

[0054] Figure 34 Schematic diagram of the influence of formation top and bottom on the assignment of non-reservoir homing sections across multiple non-reservoir original lithology class models

[0055] Figure 35 Schematic diagram of a form of equal-proportion filling demonstration

[0056] Figure 36 Schematic diagram of another form of equal-proportion filling demonstration

[0057] Figure 37 Schematic diagram of a form of demonstration of the lithology connection problem at the top of the homing section

[0058] Figure 38 Schematic diagram of another form of demonstration of the lithology connection problem at the top of the homing section

[0059] Figure 39 Schematic diagram of other forms of demonstration of the lithology connection problem at the top of the homing section

[0060] Figure 40 Schematic diagram of another other form of demonstration of the lithology connection problem at the top of the homing section

[0061] Figure 41 Schematic diagram of lithology filling model 1

[0062] Figure 42 Schematic diagram of lithology filling model 2

[0063] Figure 43 Schematic diagram of lithology filling model 3

[0064] Figure 44 Schematic diagram of lithology filling model 4

[0065] Figure 45 Schematic diagram of lithology filling model 5

[0066] Figure 46 Schematic diagram of lithology filling model 6

[0067] Figure 47 Schematic diagram of lithology filling model 7

[0068] Figure 48 Schematic diagram for demonstrating the reasons for fine-tuning of lithology Figure 1 ;

[0069] Figure 49 Schematic diagram for demonstrating the reasons for fine-tuning of lithology Figure 2 ;

[0070] Figure 50 Schematic diagram for demonstrating the reasons for fine-tuning of lithology Figure 3 ;

[0071] Figure 51 Schematic diagram of the one-to-one homing model for continuous while-drilling data;

[0072] Figure 52 Schematic diagram of the many-to-one homing model for continuous while-drilling data;

[0073] Figure 53 Schematic diagram of the one-to-one homing model for discrete while-drilling data;

[0074] Figure 54 Schematic diagram of the many-to-one homing model for discrete while-drilling data;

[0075] Figure 55 Lithology, continuous while-drilling data, and discrete while-drilling data homing map of Well A;

[0076] Figure 56 Lithology, continuous while-drilling data, and discrete while-drilling data homing map of Well B. Specific implementation manner

[0077] Combined with Figures 1 to 56 Describe this implementation manner. The data automatic homing method applied to interpretation and evaluation is realized by the following steps:

[0078] Step 1: Division of reservoir and non-reservoir;

[0079] The division of reservoir and non-reservoir is the basis for automatic homing. Its main purpose is to visualize the electric logging data into a profile composed of reservoir and non-reservoir. This profile is equivalent to the container for lithology filling later, that is, the homing profile. The specific process is as follows:

[0080] Step 1-1: Rough division;

[0081] There are two methods for the rough division: the custom electric logging boundary method and the electric logging interpretation section boundary method;

[0082] The specific process of the custom electric logging boundary method is as follows:

[0083] First, according to the selected electric logging items for automatic homing, count the minimum and maximum values of each electric logging item in each electric logging interpretation section by formation, as shown in Table 1.

[0084] Table 1

[0085]

[0086] Then, taking the minimum and maximum values of each electrical logging item in the electrical logging interpretation sections of each formation statistically shown in Table 1 as a reference, the reservoir boundaries of each electrical logging item for dividing the reservoir and non-reservoir are custom-defined according to the formation.

[0087] Finally, using the said reservoir boundary standard, the reservoir and non-reservoir are divided in one key.

[0088] The electrical logging interpretation section boundary method does not require the user to custom-define the electrical logging boundaries of the reservoir. It distinguishes the reservoir and non-reservoir in the middle electrical logging unexplained section according to the electrical logging data on the boundaries of the electrical logging interpretation sections above and below the electrical logging unexplained section.

[0089] Steps One and Two: Fine delineation;

[0090] The said fine delineation means trimming the reservoir and non-reservoir profiles roughly divided in Step One, removing or adding some positioning sections. The methods adopted include passivation treatment, extension treatment, and custom electrical logging boundary treatment.

[0091] The passivation treatment is to change the layer with a thickness less than a defined value at a certain place into the adjacent lower layer, so as to achieve the purpose of removal. That is: select the well section to be processed, fill in the passivation thickness; passivate the positioning sections with a thickness less than the passivation thickness in one key.

[0092] The extension treatment can extend some key layers missed in the rough division. That is: select the well section to be processed, fill in the extension coefficient according to the type of positioning section to be extended; extend the type of positioning section that meets the extension coefficient in one key.

[0093] In this embodiment, the function of the extension coefficient is as follows: as Figure 2 shown, assuming the curve in Figure 2 is the resistivity curve, the vertical dotted line is the bottom electrical logging boundary of the reservoir, and the vertical solid line is the value z. If the extension treatment is not carried out, the well section A - B will be divided into non-reservoir. Now, if we want to extend a reservoir positioning section at point 2, the thickness of the extended positioning section is the connection line of the adjacent half-amplitude points of point 2. At this time, assuming the value of point 2 is y and the extension coefficient is a, then it only needs to satisfy z - z×a ≤ y. This is the meaning of the extension coefficient a.

[0094] The custom electrical logging boundary treatment is applicable to the situation where unreasonable layers appear in large sections. It is similar to the electrical logging boundary method described in Step One. This part is for dealing with the problem of few layers in a large range.

[0095] Step 13. Determine the optimal electric logging boundary using the least squares method. The specific process is as follows:

[0096] In this embodiment, the methods for determining the division between reservoir and non-reservoir are all based on electric logging interpretation. For wells without electric logging interpretation, it is difficult to handle whether using the custom electric logging boundary method or the electric logging interpretation section boundary method. Therefore, a method for determining the optimal electric logging boundary using the least squares method is proposed. The specific process of this method is as follows:

[0097] 1. Assume there are two wells, Well A and Well B, within the same structure. Well A has already been interpreted, that is, the reservoir and non-reservoir of a certain formation in Well A have been divided, as Figure 3 shown. Then, for the already divided reservoir and non-reservoir, it is considered the optimal profile of Well A.

[0098] 2. Let the reservoir = 1 and the non-reservoir = 0, and convert the reservoir and non-reservoir in the homing section of Well A into a curve composed of 0s and 1s, which is called the standard curve here, as Figure 3 the curve on the right.

[0099] 3. Statistically analyze the minimum and maximum values of each electric logging item in the electric logging interpretation of this formation in Well A.

[0100] 4. Traverse the data of each electric logging item at a certain interval between the minimum and maximum values for combined judgment. Taking each set of combinations of electric logging items as the judgment criterion, on the homing section, it is a profile composed of a set of reservoir and non-reservoir. Then this profile can also be converted into a curve composed of 0s and 1s. After all traversals, there will be n curves: L1, L2,..., Lx,..., Ln. The number of curves depends on the size of the interval.

[0101] 5. Compare the curves L1, L2,..., Lx,..., Ln with the standard curve respectively, and determine that one of the curves Lx has the minimum total error with the standard curve according to the principle of the least squares method.

[0102] 6. The electric logging boundary of each electric logging item can be deduced from this curve Lx, and this electric logging boundary is the optimal boundary for dividing the reservoir and non-reservoir in this formation of Well A. This optimal curve can be used or at least used as reference data to divide the reservoir and non-reservoir of Well B in the same formation.

[0103] Step 2. Lithology homing; obtain a lithology homing profile and each lithology in this lithology homing profile has been associated with the original logging profile. Specifically:

[0104] Step 2-1: Litho-electric difference correction; taking the top and bottom depths of each horizon in the restored profile as the standard, correct the top and bottom of the corresponding horizon in the logging data to obtain a logging lithology profile with the same top and bottom as each horizon in the restored profile. This profile is called the corrected original logging profile. The specific process is as follows:

[0105] Correct the litho-electric difference between the original logging profile and the restored profile horizon by horizon. Correcting the litho-electric difference by horizon is divided into three types, which are as follows:

[0106] 1. The restored profile to be processed has a bottom but no top, that is, dealing with a horizon in the restored profile that has a formation bottom but no formation top. As shown in Figure 4 For this type: taking the electric log bottom of this formation as the scale, correct the logging bottom of this formation. Figure 4 On the left in

[0107] is the electric log formation A in the restored profile, in the middle is the logging formation A in the original logging profile, and on the far right is the corrected original logging profile after correction. The colors in the middle and right figures represent the colors of the original logging lithology (such as yellow lithology, blue lithology, pink lithology, orange lithology, etc.). The narrow icons represent non-reservoirs, and the wide icons represent reservoirs. Figure 5 For this type: taking the electric log top of this formation as the scale, correct the logging top of this formation. Figure 5 On the left in

[0108] is the electric log formation A in the restored profile, in the middle is the logging formation A in the original logging profile, and on the far right is the corrected original logging profile after correction. The colors in the middle and right figures represent the colors of the original logging lithology, the narrow icons represent non-reservoirs, and the wide icons represent reservoirs. Figure 6 For this type: calibrate the logging top of this formation to the electric log top of this formation. After such correction, there may be a litho-electric difference between the logging bottom and the electric log bottom of this formation. If there is a litho-electric difference, evenly distribute this litho-electric difference to each original lithology of this formation according to whether this litho-electric difference is positive or negative, and finally correct the logging bottom of this formation to the electric log bottom of this formation. Figure 6 On the left in

[0109] In this embodiment Figures 7 to 48In each figure, the left side is the homing section. The narrow icons represent non-reservoirs, and the wide icons represent reservoirs. The right side is the corrected original logging section. The colors represent the colors of each lithology. The narrow icons represent specific non-reservoir lithologies, and the wide icons represent specific reservoir lithologies.

[0110] Step Two: Lithology matching and filling;

[0111] This step is the most complex and important step in the current entire automatic homing algorithm, mainly solving two problems: First, lithology homing; second, establishing the connection between the homing section and the original logging section, laying a good foundation for the homing of the data while drilling on the logging section.

[0112] First, lithology homing. In this embodiment, lithology matching and filling is based on the positional relationship between the homing segment and the original logging lithology, that is: it is divided into 2 major categories and 10 minor categories according to the positional relationship between the homing section and the corrected original logging section. The 2 major categories are the inclusion relationship and the spanning relationship; the homing segment A is completely contained in an original lithology α, and this relationship is called the inclusion relationship. The homing segment A spans two or more original lithologies, and this relationship is called the spanning relationship.

[0113] The 10 minor categories are respectively: in the inclusion relationship, the reservoir homing segment is contained in the original reservoir lithology, as shown in Figure 7 shown, A represents the reservoir homing segment A; α is the original reservoir lithology of the logging, and this figure intuitively shows the inclusion relationship between the reservoir homing segment A and the original reservoir lithology α;

[0114] The reservoir homing segment is contained in the original non-reservoir lithology, as shown in Figure 8 shown, A represents the reservoir homing segment A; α represents the original non-reservoir lithology α of the logging, and this figure intuitively shows the inclusion relationship between the reservoir homing segment A and the original non-reservoir lithology α;

[0115] The non-reservoir homing segment is contained in the original non-reservoir lithology, as shown in Figure 9 shown, A represents the non-reservoir homing segment A; α represents the original non-reservoir lithology α of the logging, and this figure intuitively shows the inclusion relationship between the non-reservoir homing segment A and the original non-reservoir lithology α;

[0116] The non-reservoir homing segment is contained in the original reservoir lithology, as shown in Figure 10 shown, A represents the non-reservoir homing segment A; α represents the original reservoir lithology α of the logging, and this figure intuitively shows the inclusion relationship between the non-reservoir homing segment A and the original reservoir lithology α;

[0117] In the spanning relationship, the reservoir homing segment spans 0 original reservoir lithologies, as shown in Figure 11 shown, A represents the reservoir homing segment A; α represents the original non-reservoir lithology α of the logging, and the letter β represents the original non-reservoir lithology β of the logging. This figure intuitively shows that the reservoir homing segment A spans the original non-reservoir lithology α and the original non-reservoir lithology β;

[0118] The reservoir homing section spans across an original reservoir lithology, such as Figure 12 shown. A represents the reservoir homing section A; on the right is the corrected original logging profile: α represents the original reservoir lithology α in logging. This figure visually shows that the reservoir homing section A spans across the original reservoir lithology α;

[0119] The reservoir homing section spans across multiple original reservoir lithologies, such as Figure 13 shown. A represents the reservoir homing section A; α1, α2, α3 represent the original reservoir lithologies α1, α2, α3 in logging. This figure visually shows that the reservoir homing section A spans across the original reservoir lithologies α1, α2, α3;

[0120] The non-reservoir homing section spans across 0 non-reservoir original lithologies, such as Figure 14 shown. A represents the non-reservoir homing section A; α, β represent the original reservoir lithologies α, β in logging. This figure visually shows that the non-reservoir homing section A spans across the original reservoir lithologies α, β;

[0121] The non-reservoir homing section spans across one non-reservoir original lithology, such as Figure 15 shown. A represents the non-reservoir homing section A; α represents the original reservoir lithology α in logging. This figure visually shows that the non-reservoir homing section A spans across the original non-reservoir lithology α1;

[0122] The non-reservoir homing section spans across multiple non-reservoir original lithologies, such as Figure 16 shown. A is the non-reservoir homing section A; α1, α2 represent the original non-reservoir lithologies α1, α2 in logging. This figure visually shows that the non-reservoir homing section A spans across the original non-reservoir lithologies α1, α2.

[0123] In this embodiment, in addition to the above 10 positional relationships, there are also two special types of homing sections, namely: interbeds and kites;

[0124] The interbed is a special type of homing section: This homing section A inherits the lithology of its corresponding original logging profile but cannot inherit the logging-while-drilling data on this original profile. This special homing section is called an interbed. According to the type of homing section, interbeds can be divided into: reservoir interbeds and non-reservoir interbeds, such as Figure 17 and Figure 18 shown, Figure 17 in which A and B represent the non-reservoir homing sections A and B as interbeds; Figure 18 in which A and B represent the reservoir homing sections A and B as interbeds.

[0125] The kite is another special type in the homing section: The homing section A is far from the original logging lithology that can be matched. At this time, the homing section A can inherit this relatively far original lithology but cannot inherit the logging-while-drilling data on this original lithology. This special homing section is called a kite, such as Figure 19As shown in the figure, A represents the reservoir homing section A, and B represents the reservoir homing section B of the kite; α represents the original reservoir lithology α of the logging. This figure intuitively shows the relationship between the homing section A as the kite and the original lithology it can inherit.

[0126] The judgment process of the said kite is as follows:

[0127] A. Principles for judging the homing section as a kite:

[0128] 1. For the original lithology without display level: If the distance between the homing section A and its matching original lithology is greater than 3 times the logging interval, then this homing section is a kite, as Figure 20 shown in the figure, A represents the reservoir homing section A; on the right is the corrected original logging profile: α represents the original reservoir lithology α of the logging. This figure intuitively shows the distance between the homing section A and the original lithology it matches.

[0129] 2. For the original lithology with display level: If the distance between the homing section A and its matching original lithology is greater than 2 times the logging interval, then this homing section is a kite.

[0130] B. Basic assignment algorithm: Assign lithology to 4 types of homing sections belonging to the inclusion relationship, and assign lithology to 4 types of homing sections belonging to the simple spanning relationship;

[0131] B1. Basic assignment within the inclusion relationship;

[0132] The reservoir homing section is included in the original reservoir lithology. As Figure 21 shown in the figure, the homing section A is assigned the original lithology α. In the figure, A represents the reservoir homing section; α represents the original reservoir lithology α of the logging. This figure intuitively shows the assignment when the homing section A is included in the original reservoir lithology α.

[0133] The reservoir homing section is included in the non - reservoir original lithology. As Figure 22 shown in the figure, if x ≤ y, the homing section A is assigned the original lithology α; if x > y, the homing section A is assigned the original lithology β. In the figure, A represents the reservoir homing section; α, β represent the original reservoir lithologies α, β of the logging, x is the distance from the reservoir homing section A to the original logging lithology α, and y is the distance from the reservoir homing section A to the original logging lithology β. This figure intuitively shows the assignment when the homing section A is included in the non - reservoir original lithology.

[0134] The non - reservoir homing section is included in the non - reservoir original lithology. As Figure 23 shown in the figure, the homing section A is assigned the original lithology α. In the figure, A represents the non - reservoir homing section A; α represents the original non - reservoir lithology α of the logging. This figure intuitively shows the assignment when the homing section A is included in the non - reservoir original lithology α.

[0135] The non - reservoir homing section is included in the original reservoir lithology. As Figure 24As shown, if x ≤ y, the homing section A is assigned the original lithology α; if x > y, the homing section A is assigned the original lithology β. In the figure, A represents the non-reservoir homing section; α and β represent the original logging lithologies, x represents the distance from the reservoir homing section A to the original logging lithology α, and y represents the distance from the reservoir homing section A to the original logging lithology β. This figure visually shows the assignment when the homing section A is included in the original reservoir lithology.

[0136] B2, basic assignment within the cross-relationship;

[0137] The reservoir homing section crosses 0 original reservoir lithologies, such as Figure 25 As shown, if x ≤ y, the homing section A is assigned the original lithology α; if x > y, the homing section A is assigned the original lithology β. In the figure, A represents the reservoir homing section A; α and β represent the original reservoir logging lithologies, x represents the distance from the reservoir homing section A to the original logging lithology α, and y represents the distance from the reservoir homing section A to the original logging lithology β. This figure visually shows the assignment when the homing section A crosses 0 original reservoir lithologies.

[0138] The reservoir homing section crosses one original reservoir lithology, such as Figure 26 As shown, the homing section A is assigned the original lithology α. In the figure, A represents the reservoir homing section A; α represents the original reservoir logging lithology α. This figure visually shows the assignment when the homing section A crosses one original reservoir lithology.

[0139] The reservoir homing section crosses multiple original reservoir lithologies, and this model is processed through step D2.

[0140] The non-reservoir homing section crosses 0 original non-reservoir lithologies, such as Figure 27 As shown, if x ≤ y, the homing section A is assigned the original lithology α; if x > y, the homing section A is assigned the original lithology β. In the figure, A represents the non-reservoir homing section; α and β represent the original non-reservoir logging lithologies, x represents the distance from the non-reservoir homing section A to the original logging lithology α, and y represents the distance from the non-reservoir homing section A to the original logging lithology β. This figure visually shows the assignment when the homing section A crosses 0 original non-reservoir lithologies.

[0141] The non-reservoir homing section crosses one original non-reservoir lithology, such as Figure 28 As shown, the homing section A is assigned the original lithology α. In the figure, A represents the non-reservoir homing section; α represents the original non-reservoir logging lithology. This figure visually shows the assignment when the homing section A crosses one original non-reservoir lithology.

[0142] The non-reservoir homing section crosses multiple original non-reservoir lithologies, and this model is processed through step D1.

[0143] During the process of B2 basic assignment, mark the positions of the original lithologies assigned to their respective homing sections, that is, establish the connection between each homing section in the homing profile and each original lithology in the corrected original logging profile.

[0144] C. Define the interbed; the interbed, as a special type of the homing section, can inherit the lithology of the original lithology A on the original section, but cannot inherit the data while drilling on A. Therefore, it must be defined in advance. After the basic assignment, there are two forms of the current homing section: one is the unassigned homing section, and the other is the assigned homing section. As Figure 29 shown, in this case, the reservoir interbed and the non-reservoir interbed are defined respectively. In the figure, unassigned represents the homing section that has not been processed yet, and assigned means the colored icon in the homing profile represents the assigned homing section.

[0145] C1. Conditions satisfied by the reservoir interbed, such as Figure 30 and Figure 31 shown.

[0146] 1. It must be an assigned homing section and it cannot be a kite;

[0147] 2. There should be no display for this reservoir homing section;

[0148] 3. The relationship between this reservoir homing section and the original lithology is that the reservoir is included in the non-reservoir original lithology or the reservoir homing section straddles 0 reservoir original lithologies;

[0149] 4. There is no electric log interpretation on this reservoir homing section or there is an electric log interpretation but it is only interpreted as a dry layer;

[0150] 5. There is more than one homing section homologous to this homing section, and at least one of the homologous homing sections has an intersection in its lithology source;

[0151] 6. If there is no intersection with its lithology source in condition 5, it is necessary to judge the distance between this lithology source and these homing sections. The one with a short distance is not an interbed, and the rest are interbeds.

[0152] C2. Conditions satisfied by the non-reservoir interbed; for the non-reservoir, except for not involving display, other conditions are the same as those of the reservoir interbed condition by analogy.

[0153] D. Processing of the non-reservoir straddling model; perform lithology assignment on the above-mentioned 2 types of homing sections belonging to the complex straddling relationship;

[0154] D1. Process the model where the non-reservoir homing section in the straddling relationship straddles multiple non-reservoir original lithologies. And the following factors affect the assignment of the non-reservoir straddling model:

[0155] 1. The lithology sources of the upper and lower reservoir homing sections of the non-reservoir, such as Figure 32As shown in the figure, A in the figure represents the non-reservoir homing section A, α and β represent the reservoir homing sections; γ and δ represent the original reservoir lithology γ in logging, B and C represent the original non-reservoir lithology in logging. This figure visually shows the influencing factors of the assignment of such models where the non-reservoir homing section A spans multiple original non-reservoir lithologies;

[0156] 2. Whether the reservoir homing sections above and below the non-reservoir are kites or interbeds, such as Figure 33 As shown in the figure, in the figure, A and B represent the non-reservoir homing sections, α and γ represent the reservoir homing sections, β represents the reservoir homing section that is a kite; δ, ε, and ζ represent the original reservoir lithology in logging, C, D, E, F, and G represent the original non-reservoir lithology in logging. This figure visually shows the influencing factors of the assignment of such models where the non-reservoir homing section A spans multiple original non-reservoir lithologies;

[0157] 3. Whether this non-reservoir is the top or bottom of the formation, such as Figure 34 As shown in the figure, A in the figure represents the non-reservoir homing section A in the electrical logging formation A, α represents the reservoir homing section in the electrical logging formation A, B represents the non-reservoir homing section in the electrical logging formation B, β represents the reservoir homing section in the electrical logging formation B; C, D, and E represent the original non-reservoir lithology in the logging formation A, γ represents the original reservoir lithology in the logging formation A, F, G represent the original non-reservoir lithology in the logging formation B, and δ represents the original reservoir lithology in the logging formation B. This figure visually shows the influencing factors of the assignment of such models where the non-reservoir homing section A spans multiple original non-reservoir lithologies.

[0158] In summary, the processing of the non-reservoir spanning model can be divided into three steps:

[0159] D11. Determination of variables n, s, v, and w; The non-reservoir spanning problem is actually a problem of difficult determination of filling content. From the influencing factors, the key to this problem is to determine four position variables.

[0160] The position of the first homing section to be processed is set as n; the position of the last homing section to be processed is set as s; the position of the first original lithology for filling is set as v; the position of the last original lithology for filling is set as w; In order to locate these four variables, according to whether a non-kite and non-interbed reservoir homing section can be located above and below the non-reservoir with a spanning problem, the non-reservoir spanning model is divided into 4 categories, and 4 objects are processed for each category, that is: The 4 types of models are: both above and below exist, above exists but below does not, above does not exist but below exists, and neither above nor below exists; Four objects need to be processed within each type of model: the non-reservoir is the top of the formation, the non-reservoir is neither the top nor the bottom, the non-reservoir is the bottom of the formation, and the non-reservoir is the same layer at the top and bottom;

[0161] D12. Determination of the thickness and thickness ratio of the original lithology for filling; The principle of equal-proportion filling is adopted.

[0162] 1. After determining n, s, v, and w, lithology filling needs to be carried out.

[0163] 2. Assume that in Model 1, the original lithology B has a thickness of 5 m, C has a thickness of 5 m, and the homing section A has a thickness of 20 m.

[0164] 3. Then in v - w: The thickness of B accounts for 50% of the thickness of B + C. Given that the thickness of A is 20 m, after homing, the thickness of B in A should account for 50% of the thickness of A, which is 10 m. The treatment method for C is the same ( Figure 35 After treatment, as Figure 36 shown); Figure 35 In, A represents the non - reservoir homing section, α and β represent the reservoir homing sections; B and C represent the original non - reservoir lithologies, γ and δ represent the original reservoir lithologies. This figure intuitively shows the state of the model before assignment where the non - reservoir homing section A spans multiple original non - reservoir lithologies. Figure 36 In, α and β represent the reservoir homing sections; B and C represent the original non - reservoir lithologies, γ and δ represent the original reservoir lithologies. This figure intuitively shows the state of the model after assignment where the non - reservoir homing section A spans multiple original non - reservoir lithologies.

[0165] In this embodiment, the problems faced by equal - ratio filling are as follows:

[0166] 1. The key to equal - ratio filling treatment is to obtain two parameters: namely, the thickness of each original lithology used for filling, denoted as x; and the total length of the original lithologies used for filling, denoted as y.

[0167] 2. When determining x and y, there is a problem: the problem of connecting thickness.

[0168] 3. Description of the problem of connecting thickness: The problem of connecting thickness includes: the problem of determining the thickness of x and the problem of determining the thickness of y.

[0169] Regarding the problem of determining the thickness of x, as Figure 37 shown, in the figure, A represents the non - reservoir homing section, α represents the reservoir homing section; B and C represent the original non - reservoir lithologies, and the letter γ represents the original reservoir lithology. This figure intuitively shows the problem of determining the connecting thickness. Figure 37 In, for the filling of the non - top - non - bottom homing section A within the range where there is none above but there is below: After determining n, s, v, and w, the original lithologies B and C are used to fill A. First, it is necessary to determine the thickness x of the original lithology B. Then the question is whether x can be calculated according to the original thickness of the original lithology B. This problem needs to be discussed: Assume that for Figure 38, in the figure, A represents the non-reservoir realignment section A, and α represents the reservoir realignment section α; B and C represent the original non-reservoir lithologies, and γ represents the original reservoir lithology γ. This figure intuitively shows the determination problem of the connection thickness). Determine x according to the thickness of B itself. Assume that B is 100m thick and C is 2m thick; then B accounts for 98% of the thickness of B + C. If A is 10m thick, after realignment, the thickness of the original lithology B refracted into the realignment section A is 9.8m, while the thickness of C refracted into the realignment section A is only 0.2m.

[0170] Whether it is necessary to connect with the original lithology that has not been realigned after realignment. If so, what is the effect after connection Figure 39 , in the figure, A represents the non-reservoir realignment section, and α represents the reservoir realignment section; in the middle is the section where B is filled into the realignment section A after converting the thickness ratio according to its own thickness and then connected with the original lithology that has not been realigned; B and C represent the original non-reservoir lithologies, and γ represents the original reservoir lithology γ. This figure intuitively shows the determination problem of the connection thickness. As shown in section II in the figure, this is obviously unreasonable because the thickness of section z in B is reused.

[0171] Then, taking the top of A as the scale, intercepting the remaining thickness of B as x to confirm whether it is feasible. For the realignment section A which is the top of the formation, this assumption is also not feasible. In this model, the original lithology must determine x according to its own thickness. Figure 40 As shown, A represents the top non-reservoir realignment section of a certain horizon, and α represents the reservoir realignment section; B represents the original non-reservoir lithology at the top of a certain horizon, C represents the original non-reservoir lithology of a certain horizon, and γ represents the original reservoir lithology γ. This figure intuitively shows the determination problem of the connection thickness.

[0172] The determination problem of the thickness of y mentioned above: Its main content is similar to the determination problem of the thickness of x, but the bottom connection problem also needs to be considered; specifically:

[0173] According to whether the model involves connection problems at the top and bottom, the model is divided into 4 types of models; namely: involving at the top and not involving at the bottom, not involving at the top and involving at the bottom, involving both at the top and bottom, and not involving both at the top and bottom.

[0174] Determine the values of x and y of each processing object and the value of thickness z = x / y in turn according to the above 4 types of models;

[0175] D13. Lithology filling;

[0176] When the processing of D11 and D12 is completed, lithology filling can be started, and the normal model of lithology filling is as Figure 41As shown in the figure, in the figure, A represents the non-reservoir homing section, and α, β represent the reservoir homing sections; B, C represent the original non-reservoir lithologies, and γ, δ represent the original reservoir lithologies. This figure intuitively shows the normal lithology filling model. At this time, the original lithologies are filled into the homing section A according to their respective thickness ratios. However, some abnormal models will be encountered during the filling process, and these abnormal models can be divided into 2 categories;

[0177] 1. There are reservoir-type original lithologies among the original lithologies used for filling;

[0178] For this type of model, if the original lithology C has no display, the reservoir-type original lithology can be regarded as a misrecording point. During the filling process, the first half of the reservoir original lithology C is homed according to the original lithology C, and the second half is homed according to the original lithology D, as Figure 42 shown in the figure. In the figure, A represents the non-reservoir homing section; B, D represent the original non-reservoir lithologies, and C represents the original reservoir lithology. This figure intuitively shows an abnormal situation in the lithology filling model. After homing, as Figure 43 shown in the figure, A represents Figure 42 The non-reservoir homing section A in Figure 42 has been filled with lithology; on the right is the corrected original logging profile: B, D represent the original non-reservoir lithologies, and C represents the original reservoir lithology. This figure intuitively shows Figure 44 the state after lithology filling. If the original lithology C has a display, during the filling process, the reservoir original lithology C is homed into A according to the thickness ratio, as Figure 45 shown in the figure. In the figure, A represents the non-reservoir homing section; B, D represent the original non-reservoir lithologies, and C represents the original reservoir lithology with a display. This figure intuitively shows an abnormal situation in the lithology filling model. After homing, as Figure 44 shown in the figure, A represents Figure 44 The non-reservoir homing section A in

[0179] 2. There are interbeds or kites in the non-reservoir homing section to be processed;

[0180] Such as Figure 46 shown in the figure. In the figure, A, C represent the non-reservoir homing sections, and B represents the reservoir homing section B as a kite; E, F, G represent the original non-reservoir lithologies, and D represents the original reservoir lithology. This figure intuitively shows an abnormal situation in the lithology filling model. The lithology of the homing section B remains unchanged, but its logging-while-drilling data source should be a part of the original lithologies E~F. Which specific part should be determined by the thickness ratio of the original lithologies. In addition, during the filling process, although the lithology of the homing section B as a kite remains unchanged, it actually consumes the homing thickness of the original lithology. After homing, as Figure 47 shown in the figure, A represents Figure 46The non-reservoir homing section A in [[]] has been lithologically filled; E, F, and G represent the original non-reservoir lithologies E, F, and G, and this figure intuitively shows Figure 46 the state after lithological filling.

[0181] D2. Processing of the reservoir spanning model; the model processed is the one where "the reservoir homing section spans multiple original reservoir lithologies" in the spanning relationship. Its influencing factors, processing process, and problems to be solved are similar to those of the non-reservoir spanning model.

[0182] E. Lithology fine-tuning; custom fine-tuning is performed on some layers that are significantly inconsistent after automatic homing;

[0183] In this embodiment, the reason for lithology fine-tuning is:

[0184] The basic logic of original lithology matching and filling is based on positional relationship and type. Then, if there is such a situation, such as Figure 48 shown in the figure, where A represents the reservoir homing section; B and C represent the original reservoir lithologies; this figure intuitively shows one reason for lithology fine-tuning: assuming that the homing section A is a reservoir and the original lithologies B and C are reservoirs, according to the aforementioned assignment logic, the homing section A will be assigned by the original lithology C. However, if it can be clearly seen from the electric log curve that the homing section A should be the original lithology B, this is one reason for lithology fine-tuning.

[0185] As Figure 49 shown in the figure, where A represents the reservoir homing section A; in the middle is the corrected original logging profile: B, C, and D represent the original reservoir lithologies; on the right is the profile after lithological filling of the homing profile. This figure intuitively shows a situation of lithological filling error. In the homing section profile Ⅰ, A is a reservoir, and in the original lithology profile Ⅱ, B, C, and D are reservoirs. According to the aforementioned assignment logic, after homing, it is as shown in profile Ⅲ. This is because the original lithology will be filled into the homing section A according to the thickness ratio, and the resolution of the original lithology is small, that is: but if it can be clearly seen through the electric log curve that the part filled by the original lithology C in the homing section A can be further subdivided (the actual situation after homing should be Figure 50 ), Figure 50 is Figure 49 the correct filling situation of the homing profile in [[]]; combined with Figure 49 this figure intuitively shows the second reason for lithology fine-tuning, and this is the second reason for lithology fine-tuning.

[0186] The specific process of the aforementioned lithology fine-tuning is as follows:

[0187] E1. Customize the processed well section, the lithology to be adjusted, and the electric log standard of the lithology to be adjusted as shown in Table 2. Among them, the lithology to be adjusted is defined using a three-level naming matching mechanism.

[0188] Table 2

[0189] Homing formation Type Top depth Bottom depth Custom lithology RS (mir) RS (max) GR (min) GR (max) The fourth member of Shahejie Formation Non-reservoir 3010 3090 Gush shale 3.8 The fourth member of Shahejie Formation Non-reservoir 3140 3210 Gush shale 4.4 180 Mesozoic Mesozoic Proterozoic Reservoir 3390 3705 Slate 70 Proterozoic Reservoir 3724.5 3733 Argillaceous dolomite 127 Proterozoic Reservoir 3724..5 3733 Slate 127 Proterozoic Reservoir 3733 3743 Slate

[0190] 1. If the color and display level of the lithology to be defined cannot be determined, only the lithology needs to be defined, and the algorithm will automatically match the most suitable option among such lithologies.

[0191] 2. If the color of the lithology to be defined cannot be determined, but the display level and the lithology can be determined, only the display level + lithology needs to be defined, and the algorithm will automatically match the most suitable option for such display level + lithology.

[0192] 3. If it can be precisely defined, such as: xxx color + display level + lithology, the algorithm will only match the original lithology of such color + display level + lithology.

[0193] E2. Fine-tuning of lithology;

[0194] 1. The fine-tuning of lithology will only be carried out within the defined well section.

[0195] 2. While adjusting the log standard homing section that meets the definition within this well section, the homing section that does not meet the defined log standard also needs to be adjusted, which is two sides of the same coin.

[0196] 3. After the fine-tuning of lithology, the interbeds and kites also need to be defined within the defined well section to prepare for the homing of the data while drilling.

[0197] In this embodiment, during the lithology homing process, the position information of the lithology in the filled homing profile from the original logging profile will be located, and then connections will be established with the corrected original logging profile and the original logging profile.

[0198] II. Establishing the connection between the homing profile and the original logging profile;

[0199] Establish the connection between the reservoir and non-reservoir in the homing profile and each lithology in the corrected original logging profile, and the position where the lithology filled into the homing profile comes from the corrected original logging profile.

[0200] Step 3. Homing of data while drilling; Establishing the connection between the homing section and the original lithology during the lithology matching and filling process is the basis for the homing of data while drilling. According to the type of data while drilling, it is divided into: homing of continuous data while drilling and homing of discrete data while drilling. Specifically:

[0201] Step 3-1. Homing of continuous data while drilling; Continuous data while drilling refers to data with a logging interval less than or equal to the cuttings logging interval, such as: gas logging data, continuous light hydrocarbon data, engineering data, etc.

[0202] The homing of continuous data while drilling with the homing section as the main body involves two types of models: many-to-one model and one-to-one model; The one-to-one model, such asFigure 51 As shown in the figure, on the left side of the figure is the homing profile, where A represents the reservoir homing section; on the right side is the corrected original logging profile: the color represents the color of each lithology, the wide icon represents the specific reservoir lithology, and B represents the original reservoir lithology; the curve beside the corrected original logging profile is the continuous while-drilling data: "beginning" represents the starting point, "end" represents the ending point, and 0, 1, 2, 3, 4, 5, 6 represent the extreme points. The extreme points include the maximum points and the minimum points. This figure visually shows the one-to-one continuous while-drilling data homing model. This type of model means that one homing section A corresponds to one original lithology B; for the many-to-one model, as Figure 52 shown in the figure, on the left side of the figure is the homing profile: A, B, and C represent the reservoir homing sections, α and δ represent the non-reservoir homing sections, and β and γ represent the non-reservoir homing sections as interlayers; the curve beside the homing profile is the shape after the continuous while-drilling data is homed: 1 represents the starting point, 2 represents the maximum point, and 3 represents the ending point; on the right side is the corrected original logging profile: the color represents the color of each lithology, the wide icon represents the specific reservoir lithology, and the mother B represents the original reservoir lithology B; the curve beside the corrected original logging profile is the continuous while-drilling data. This figure visually shows the many-to-one continuous while-drilling data homing model. This type of model means that multiple homing sections A, B, and C correspond to one original lithology D.

[0203] Step 311, model judgment; judge whether each homing section belongs to the one-to-one model or the many-to-one model;

[0204] Step 312, processing process; locate the key points in the while-drilling data corresponding to each lithology on the original logging profile; three types of special points: the starting point, the extreme point, and the ending point;

[0205] Step 313, calculate the ratio of the distance from the extreme point (the extreme point refers to the maximum point and the minimum point. The reason for using the extreme point is that some models may not have both the maximum point and the minimum point at the same time, and some may only have the maximum point or only the minimum point) on the corresponding original lithology to the starting point to the thickness of the original lithology; that is: calculate the proportion of the key points on the original logging profile in the thickness of the original profile, calculate the specific position of the key points on the homing section, and assign the key point data to the specific position; and connect the key points through the calculation method of linear equal division;

[0206] Step 314, if it is a one-to-one model, then first assign the while-drilling data of the starting point and the ending point on the corresponding original lithology to the starting point and the ending point of this homing section, and refract the extreme point data on the original lithology into the corresponding position of this homing section according to the top depth of the homing section + the thickness ratio calculated in Step 313 * the thickness of the homing section;

[0207] Step 315: If it is a many-to-one model: Different types of homing segments clamped inside the homing segment are treated as interlayers and jointly inherit the logging-while-drilling data corresponding to the original lithology. The process of refraction of the three types of special points on the corresponding original lithology into the homing segment is the same as in Step 314;

[0208] Step 316: After the three types of special points are refracted into the homing segment, three types of models, namely start point - extreme point - end point, start point - extreme point - extreme point - end point (some models have one extreme point, which may be a maximum point or a minimum point, and some models have multiple extreme points), and start point - end point, are linearly evenly discretized to complete the data at the well depths in the middle of the special points.

[0209] Step 32: Homing of discrete logging-while-drilling data; Discrete logging-while-drilling data refers to data with a logging interval greater than the cuttings logging interval, such as geochemical data, quantitative fluorescence data, etc.

[0210] Similarly, homing of discrete logging-while-drilling data with the homing segment as the main body involves two types of models: one-to-one model and many-to-one model, as Figure 53 and Figure 54 shown. Figure 53 On the left in is the homing profile: A represents the homing segment of the reservoir; the black line on the homing segment A represents the discrete logging-while-drilling data after homing; on the right is the corrected original logging profile: the color represents the color of each lithology, the wide icon represents the specific reservoir lithology, and B represents the original reservoir lithology; the black line on the original reservoir lithology B represents the discrete logging-while-drilling data before homing; this figure visually shows the one-to-one discrete logging-while-drilling data homing model. Figure 54 On the left in is the homing profile: A and B represent the homing segments of the reservoir; the black lines on the homing segments A and B represent the discrete logging-while-drilling data after homing; on the right is the corrected original logging profile: the color represents the color of each lithology, the wide icon represents the specific reservoir lithology, and C represents the original reservoir lithology; the black line on the original reservoir lithology C represents the discrete logging-while-drilling data before homing; this figure visually shows the many-to-one discrete logging-while-drilling data homing model.

[0211] Step 321: Model judgment; Judge whether each homing segment belongs to a one-to-one model or a many-to-one model;

[0212] Step 322: Processing process;

[0213] Locate the position of each discrete data on the original lithology: This position is located by the ratio of the distance from the well depth where the discrete data is located on the original lithology to the top depth of the original lithology to the thickness of the original lithology, that is, the thickness ratio;

[0214] Step 323: According to the position ratio of each discrete data on the original lithology, calculate at which point on the homing segment this discrete data should be located, and assign this discrete data to this point position;

[0215] Step 324: If it is a one-to-one model, refract the discrete data into the corresponding position of the homing section according to the top depth of the homing section + the thickness ratio calculated in Step 322 * the thickness of the homing section;

[0216] Step 325: Different types of homing sections clamped inside the homing section are treated as interlayers and jointly inherit the discrete logging-while-drilling data on the corresponding original lithology. The process of refracting the discrete data on the corresponding original lithology into the homing section is the same as that in Step 324.

[0217] Combined with Figure 55 and Figure 56 Describe this embodiment. They are the homing diagrams of Well A and Well B respectively. Taking two exploration wells in a certain oilfield as an example, through the homing method described in this embodiment, for Well A, the homing of the logging depth from 2336 to 3512 is realized, with 247 homing well sections, a lithology coincidence rate of 98%, and a logging-while-drilling data coincidence rate of 100%; for Well B, the homing of the logging depth from 2450 to 3743 is realized, with 172 homing well sections, a lithology coincidence rate of 99%, and a logging-while-drilling data coincidence rate of 100%. Through the homing method of this embodiment, the homing of lithology and logging-while-drilling data can be well carried out.

[0218] The technical features of the above-described embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0219] The above-described embodiments only represent several implementation manners of the present invention. Their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several deformations and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the invention patent should be subject to the appended claims.

Claims

1. A method for automatic data alignment applied to interpretation and evaluation, characterized in that: This method is implemented by the following steps: Step 1: Divide the reservoir and non-reservoir, and obtain a profile composed of the reservoir and non-reservoir. This profile serves as the framework for the filling logging lithology and is called the homing profile; Step 2: Lithology homing; Step 2-1: Rock-electric difference correction; Using the top and bottom of the same horizon in the homing profile as the scale for each horizon, correct the rock-electric difference at the top and bottom of the original logging profile to obtain the corrected original logging profile Step 2-2: Lithology matching and filling; Based on the positional relationship between the reservoir and non-reservoir in the homing profile and the specific lithology in the corrected original logging profile, perform lithology filling on the homing profile through the matching and filling algorithm; During the process of matching the reservoir and non-reservoir in the homing profile with the specific lithology in the corrected original logging profile, locate the positions of each lithology in the corrected original logging profile, and then lock the positions of each lithology filled into the homing profile in the corrected original logging profile and the positions of these lithologies in the original logging profile, so as to establish a connection between the homing profile, the corrected original logging profile, and the original logging profile; obtain the lithology homing profile; Step 3: Logging-while-drilling data homing; According to the relationship between the lithology homing profile obtained in Step 2 and the original logging profile, determine the logging-while-drilling data carried by each logging lithology, and allocate the logging-while-drilling data to the homing profile to achieve logging-while-drilling data homing; Step 4: After all the logging-while-drilling data are homed, back-calculate the well depth before the top and bottom rock-electric difference correction to complete the automatic homing.

2. The data automatic homing method applied to interpretation and evaluation according to claim 1, wherein: In Step 1, the homing profile is obtained through rough division and fine characterization; The rough division includes the custom electric log boundary method and the electric log interpretation section boundary method; The fine characterization refers to trimming the reservoir and non-reservoir profile after the rough division, removing or adding homing segments.

3. The data automatic homing method applied to interpretation and evaluation according to claim 2, characterized in that: The custom electric log boundary method is as follows: Statistically calculate the minimum and maximum values in each electric log interpretation section by formation, and divide the reservoir boundary between the reservoir and non-reservoir; using the reservoir boundary as the standard, divide the reservoir and non-reservoir; The electric log interpretation section boundary method distinguishes the reservoir and non-reservoir in the middle electric log uninterpreted section according to the electric log data at the boundaries of the electric log interpretation sections above and below the electric log uninterpreted section.

4. The data automatic homing method applied to interpretation and evaluation according to claim 1, characterized in that: In Step 1, it also includes using the least squares method to determine the optimal electric log boundary.

5. The method for automatically returning data for interpreting and evaluating according to claim 1, characterized in that: In Step 2, the specific process of the rock-electric difference correction is as follows: Correct the rock-electric difference between the original well profile and the homing profile layer by layer by formation to obtain the corrected original logging profile. The rock-electric difference correction is divided into three types; For a certain horizon in the processed homing profile with a bottom but no top, that is, a certain horizon in the homing profile has a formation bottom but no formation top, then use the electric log bottom of this formation as the scale to correct the logging bottom of this formation; For a certain horizon in the processed homing profile with a top but no bottom, that is, a certain horizon in the homing profile has a formation top but no formation bottom, then use the electric log top of this formation as the scale to correct the logging top of this formation; For a certain horizon in the processed homing profile with both a top and a bottom, that is, a certain horizon in the homing profile has both a formation bottom and a formation top, then calibrate the logging top of this formation to the electric log top of this formation, and finally correct the logging bottom of this formation to the electric log bottom of this formation.

6. The data automatic homing method applied to interpretation and evaluation according to claim 1, characterized in that: In Step 2, the positional relationship between the homing profile and the corrected original logging profile is divided into two major categories, ten subcategories, and a special homing segment type. The special homing segment type is divided into interbeds and kites. The two major categories are the inclusion relationship and the spanning relationship. That is, if the homing segment A is completely contained in an original lithology α, it is an inclusion relationship; if the homing segment A spans two or more original lithologies, it is a spanning relationship. The ten subcategories are as follows: Among the inclusion relationships, the reservoir homing segment is contained in the reservoir original lithology; the reservoir homing segment is contained in the non-reservoir original lithology; the non-reservoir homing segment is contained in the non-reservoir original lithology; the non-reservoir homing segment is contained in the reservoir original lithology. Among the spanning relationships, the reservoir homing segment spans 0 reservoir original lithologies; the reservoir homing segment spans one reservoir original lithology; the reservoir homing segment spans multiple reservoir original lithologies; the non-reservoir homing segment spans 0 non-reservoir original lithologies; the non-reservoir homing segment spans one non-reservoir original lithology; the non-reservoir homing segment spans multiple non-reservoir original lithologies. If the homing segment A inherits the lithology of its corresponding original logging profile but cannot inherit the logging-while-drilling data on this original profile, this homing segment is an interbed. Interbeds are divided into reservoir interbeds and non-reservoir interbeds. If the homing segment A can inherit the original lithology but cannot inherit the logging-while-drilling data on this original lithology, then this homing segment is a kite.

7. The data automatic homing method applied to interpretive evaluation according to claim 6, characterized in that: The lithology assignment for the different types of homing segments is carried out using the basic assignment method. Specifically: Basic assignment within the inclusion relationship; When the reservoir homing segment is contained in the reservoir original lithology, the reservoir homing segment is assigned the reservoir original lithology α. When the reservoir homing segment is contained in the non-reservoir original lithology, if x ≤ y, the reservoir homing segment is assigned the reservoir original lithology α; if x > y, the reservoir homing segment is assigned the reservoir original lithology β. Here, x is the distance from the reservoir homing segment to the logging reservoir original lithology α, and y is the distance from the reservoir homing segment to the logging reservoir original lithology β. When the non-reservoir homing segment is contained in the non-reservoir original lithology, the non-reservoir homing segment is assigned the non-reservoir original lithology α1. When the non-reservoir homing segment is contained in the reservoir original lithology, if X ≤ Y, the non-reservoir homing segment is assigned the non-reservoir original lithology α1; if X > Y, the non-reservoir homing segment is assigned the non-reservoir original lithology β1. Here, X is the distance from the non-reservoir homing segment to the logging non-reservoir original lithology α1, and Y is the distance from the non-reservoir homing segment to the logging non-reservoir original lithology β1. Basic assignment within the spanning relationship; When the reservoir homing segment spans 0 reservoir original lithologies, if x ≤ y, the reservoir homing segment is assigned the reservoir original lithology α; if x > y, the reservoir homing segment is assigned the reservoir original lithology β. When the reservoir homing segment spans one reservoir original lithology, the reservoir homing segment is assigned the reservoir original lithology α. When the non-reservoir homing segment spans 0 non-reservoir original lithologies, if X ≤ Y, the non-reservoir homing segment is assigned the non-reservoir original lithology α1; if X > Y, the non-reservoir homing segment is assigned the non-reservoir original lithology β1. When the non-reservoir homing segment spans one non-reservoir original lithology, the non-reservoir homing segment is assigned the non-reservoir original lithology α1.

8. The automatic homing method for data applied to interpretation and evaluation according to claim 6, characterized in that: The processing process for the non-reservoir homing segment spanning multiple non-reservoir original lithologies is as follows: Determine the position n of the first homing section to be processed, the position s of the last homing section to be processed, the position v of the first original lithology for filling, and the position w of the last original lithology for filling; Adopt the principle of equal-proportion filling. After determining the thickness and thickness ratio of the original lithology for filling, perform lithology filling; The processing process of the reservoir homing section spanning multiple reservoir original lithologies is the same as the processing process of the non-reservoir homing section spanning multiple non-reservoir original lithologies.

9. The method for automatically returning data applied to interpretation and evaluation according to claim 1, characterized in that: In step three, homing based on the logging-while-drilling data is divided into homing of continuous logging-while-drilling data and homing of discrete logging-while-drilling data. Both the homing of continuous logging-while-drilling data and the homing of discrete logging-while-drilling data are realized through a many-to-one model and a one-to-one model; the process of homing continuous logging-while-drilling data is as follows: Step 311: Determine whether each homing section belongs to a one-to-one model or a many-to-one model; Step 312: Locate the key points in the logging-while-drilling data corresponding to each lithology on the original logging section, including the starting point, extreme point, and ending point; Step 313: Calculate the ratio of the distance from the extreme point to the starting point on the corresponding original lithology to the thickness of the original lithology; that is, calculate the specific position of the key point on the homing section through the proportion of the key point on the original logging section in the thickness of the original section, and assign the key point data to the specific position; Step 314: If it is a one-to-one model, first assign the starting point and ending point logging-while-drilling data on the corresponding original lithology to the starting point and ending point of this homing section, and calculate the sum of the extreme point data on the original lithology refracted into the corresponding position of this homing section according to the top depth of the homing section and the thickness ratio * thickness of the homing section; Step 315: If it is a many-to-one model: The different types of homing sections clamped inside the homing section are treated as interbeds and jointly inherit the logging-while-drilling data on the corresponding original lithology. The process of refracting the key points on the corresponding original lithology into the homing section is the same as step 314; Step 316: After the key points are refracted into the homing section, linearly evenly separate according to three types of models: starting point - extreme point - ending point, starting point - extreme point - extreme point - ending point, and starting point - ending point, and supplement the data of the well depth in the middle of these special points such as the starting point, extreme point, and ending point.

10. The method for automatically returning data applied to interpretation and evaluation according to claim 9, characterized in that: The process of homing discrete logging-while-drilling data is as follows: Step 321: Model judgment; Determine whether each homing section belongs to a one-to-one model or a many-to-one model; Step 322: Locate the position of each discrete data on the original lithology: This position is located by the ratio of the distance from the well depth where the discrete data is located to the top depth of the original lithology to the thickness of the original lithology; Step 323: Calculate the specific point position of the discrete data in the homing section according to the position ratio of each discrete data on the original lithology, and assign the discrete data to the specific point position; Step 324: If it is a one-to-one model, refract the discrete data into the corresponding position of this homing section according to the top depth of the homing section + the thickness ratio * thickness of the homing section calculated in step 322; Step 325: The different types of homing sections clamped inside the homing section are treated as interbeds and jointly inherit the discrete logging-while-drilling data on the corresponding original lithology.

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