Drilling engineering complexity assessment method, device, equipment and medium

Abstract

The application provides a drilling engineering complexity evaluation method, device, equipment and medium, the method comprises the following steps: S1, pretreating the engineering complexity data of the drilled well in the target area, establishing a first matrix, the elements of the first matrix include the length of the depth point from the top boundary of the stratum, the representative value of the engineering complexity occurrence and the risk degree; S2, establishing a second matrix according to the first matrix, the second matrix represents the risk probability of the drilling well, the elements of the second matrix include the drilling well depth, the engineering complexity occurrence probability corresponding to the drilling well depth and the risk degree; S3, repeating the steps S1-S2, obtaining a plurality of second matrices corresponding to the first matrix, and obtaining a third matrix after data processing of the second matrix. The application can quantitatively reflect the possibility and specific well section of the engineering complexity in the drilling process, and reflect the geological characteristics of the drilling well, not only the engineering factors.

Description

Technical Field

[0001] This invention relates to the field of oil and gas drilling technology, and more specifically, to a method for evaluating complexities during drilling, a device for evaluating complexities during drilling, and equipment and computer-readable storage medium for implementing the method for evaluating complexities during drilling. Background Technology

[0002] In oil and gas drilling, common engineering complexities include lost circulation, gas intrusion, well kick, and stuck pipe. Geological engineering complexity is influenced by various factors, such as formation lithology, formation pressure, and pore pressure. Accurately predicting these complexities is crucial for ensuring the safety and efficiency of drilling operations.

[0003] Most existing prediction methods are based on static geological data and engineering parameters, which cannot quantitatively reflect the likelihood of engineering complexities occurring during drilling and the specific well sections involved, nor do they consider the geological factors of the block. In existing technologies, drilling site engineering accident prediction mainly relies on manual on-site monitoring. Personnel determine the occurrence of engineering complexities only after a certain engineering parameter deviates from its normal trend. This method is a post-event prediction and cannot provide early warning. Patent CN114607354A discloses a method for predicting drilling complexities, using a complexity prediction calculation model to estimate the risk of such situations. However, this method only utilizes historical time-domain parameters of drill string vibration at the wellhead, relying entirely on single engineering data and failing to consider the differences in geological characteristics. Furthermore, it only applies to the risks of stuck pipe and drill bit mud. Patent CN114611748A discloses a drilling risk trend line early warning method based on logging data. It achieves real-time early warning by analyzing the changing trends of logging data affecting factors of different risk types. This method is based on the same principle as manual judgment using engineering data. It is worth noting that by the time real-time engineering data begins to reflect trends corresponding to different risks, the engineering risks are often already occurring. At this point, the difference between the advance warning time and the time for manual judgment cannot be too significant. Furthermore, while intelligent early warning methods using artificial intelligence are becoming increasingly sophisticated, the complexity of well conditions, the diversity of data collection, and the significant regional environmental differences faced in drilling mean that network models trained on local drilling data may not be applicable to other regions. Summary of the Invention

[0004] The purpose of this invention is to address at least one of the aforementioned shortcomings of the prior art. For example, one objective of this invention is to provide a method for assessing drilling engineering complexity that quantitatively reflects the likelihood of engineering complexity occurring during drilling and the specific well section.

[0005] To achieve the above objectives, the present invention provides a method for complex evaluation of drilling operations.

[0006] The method for complex assessment of drilling operations includes the following steps:

[0007] S1. Preprocess the engineering complexity data of the drilled wells in the target area and establish a first matrix. The elements of the first matrix include the length of the depth point from the top boundary of the formation, the representative value of the occurrence of engineering complexity, and the degree of risk.

[0008] S2. Establish a second matrix representing the risk probability of drilling based on the first matrix. The elements of the second matrix include the drilling depth, the probability of engineering complexity occurring at the drilling depth, and the degree of risk.

[0009] S3. Repeat steps S1 to S2 to obtain multiple second matrices corresponding to the first matrix. After data processing of the second matrices, a third matrix is ​​obtained.

[0010] In an exemplary embodiment of the complex evaluation method for drilling engineering of the present invention, the data processing may include:

[0011] S31. Remove the repeated positive drilling depths from the plurality of second matrices, modify the corresponding probability of engineering complexity to the sum of the probabilities of engineering complexity corresponding to the repeated positive drilling depths, and modify the risk level to the average of the risk levels corresponding to the repeated positive drilling depths.

[0012] S32. Confirm the number of different positive drilling depths in each of the second matrices, select the second matrix with the largest number of such depths to supplement the other second matrices, wherein the supplementation includes setting the probability of engineering complexity and the degree of risk of the supplemented second matrix to 0.

[0013] In an exemplary embodiment of the complex evaluation method for drilling engineering of the present invention, a positive drilling column chart can be generated based on the third matrix.

[0014] In an exemplary embodiment of the complex assessment method for drilling engineering of the present invention, when the risk is well leakage risk, the degree of risk can be represented by the amount of drilling fluid loss, and when the risk is gas invasion or well kick, the degree of risk can be represented by the peak value of total hydrocarbons.

[0015] In an exemplary embodiment of the complex evaluation method for drilling engineering of the present invention, the first matrix may be:

[0016]

[0017] The second matrix can be:

[0018]

[0019] In the first matrix A1, the first column h1, h2, ..., hi represent the lengths of the depth points from the top boundary of the formation; the second column Z1, Z2, ..., Z i The values ​​at depths h1, h2, ..., hi, representing the depths of drilled wells, are representative values ​​for the occurrence of engineering complexities. If Z... i =1 indicates that the project is complex. If Z i =0 indicates no engineering complexity occurred; the third column M1, M2, ..., M i The level of risk.

[0020] In the second matrix P1, the first column H represents the positive drilling depth, where Int represents taking the integer value. A1 The first column represents the formation thickness of drilled well A1, and the second column represents the formation thickness of the formation to be drilled in the current well. When the data in the first column exceeds h, it is always set to h; Let be the probability of engineering complexity occurring at the corresponding depth during positive drilling, where Δx A1 The distance between drilled well A1 and the well currently being drilled is given, and when the distance is less than 1.1 km, it is always taken as 1.1.

[0021] In an exemplary embodiment of the complex assessment method for drilling engineering of the present invention, the third matrix can be used to confirm the risk probability of the drilling process.

[0022] In an exemplary embodiment of the complex assessment method for drilling engineering of the present invention, the formula for calculating the risk probability of the drilling operation can be:

[0023] Where p is the probability of active drilling; P' j Let be the third matrix, j = 1, ..., n, where n is a positive integer.

[0024] In another aspect, the present invention provides a complex evaluation device for drilling engineering, the complex evaluation device for drilling engineering comprising a first matrix module, a second matrix module and a third matrix module connected in sequence.

[0025] The first matrix module is configured to preprocess the engineering complexity data of drilled wells within the target area and establish a first matrix. The elements of the first matrix include the length of the depth point from the top boundary of the formation, the representative value of the engineering complexity occurrence, and the risk level.

[0026] The second matrix module is configured to establish a second matrix representing the risk probability of active drilling based on the first matrix. The elements of the second matrix include the active drilling depth, the probability of engineering complexity occurring at the active drilling depth, and the degree of risk.

[0027] The third matrix module is configured to reuse the first matrix module and the first matrix module to obtain multiple second matrices corresponding to the first matrix, and to obtain the third matrix after data processing of the second matrices.

[0028] In another aspect, the present invention provides a computer device, the computer device comprising:

[0029] Processor; memory storing a computer program that, when executed by the processor, implements the complex evaluation method for drilling engineering as described above.

[0030] In another aspect, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the complex evaluation method for drilling engineering as described above.

[0031] Compared with existing technologies, the beneficial effects of this invention include: by establishing a risk probability index for various engineering complexities in the formation to be drilled during drilling, and calculating the degree of risk probability through the risk probability index, it can quantitatively reflect the likelihood of engineering complexities occurring during drilling and the specific well sections. This method can reflect the geological characteristics of the drilling process, not just engineering factors. This method can be used in the design phase and continuously improved during the drilling phase, which is beneficial for drilling teams to take preventive measures in advance, and it is not limited by region. Attached Figure Description

[0032] The above and other objects and / or features of the present invention will become clearer from the following description taken in conjunction with the accompanying drawings, in which:

[0033] Figure 1 The diagram shows a probability prediction of engineering complexity risk in Well A, an embodiment of the drilling engineering complexity assessment method of the present invention. Detailed Implementation

[0034] In the following sections, the method, apparatus, equipment, and media for complex evaluation of drilling operations according to the present invention will be described in detail with reference to exemplary embodiments.

[0035] It should be noted that the terms “first,” “second,” “third,” and “S1,” “S2,” “S3,” etc. used in this invention are for ease of description and distinction only, and should not be construed as indicating or implying relative importance or used to describe a specific order or sequence.

[0036] This invention addresses the shortcomings of existing technologies by providing a method for assessing engineering complexity during drilling. It utilizes engineering complexity data from already drilled wells within the region, as well as data on the distance between drilled and currently drilling wells, to establish a risk probability index for various engineering complexities in the layers to be drilled in the currently drilling well. The degree of risk probability is calculated using this risk probability index. This method can quantitatively reflect the likelihood of engineering complexities occurring during drilling and the specific well sections involved.

[0037] In a first exemplary embodiment of the drilling engineering complexity assessment method of the present invention, the drilling engineering complexity assessment method includes the following steps:

[0038] S1. Preprocess the engineering complexity data of the drilled wells in the target area and establish the first matrix. The elements of the first matrix include the length of the depth point from the top boundary of the formation, the representative value of the occurrence of engineering complexity, and the degree of risk.

[0039] Optionally, when the risk is well leakage risk, the degree of risk can be represented by drilling fluid loss; when the risk is gas invasion or well kick, the degree of risk can be represented by total hydrocarbon peak value.

[0040] The first matrix can be:

[0041]

[0042] In the first matrix A1, the first column h1, h2, ..., hi represent the lengths of the depth points from the top boundary of the formation; the second column Z1, Z2, ..., Z i The values ​​at depths h1, h2, ..., hi, representing the depths of drilled wells, are representative values ​​for the occurrence of engineering complexities. If Z... i =1 indicates that the project is complex. If Z i =0 indicates no engineering complexity occurred; the third column M1, M2, ..., M i The level of risk.

[0043] S2. Based on the first matrix, establish a second matrix representing the risk probability of drilling. The elements of the second matrix include the drilling depth, the probability of engineering complexity occurring at the drilling depth, and the degree of risk.

[0044] The second matrix can be:

[0045]

[0046] In the second matrix P1, the first column H represents the positive drilling depth, where Int represents taking the integer value. A1 The first column represents the formation thickness of drilled well A1, and the second column represents the formation thickness of the formation to be drilled in the current well. When the data in the first column exceeds h, it is always set to h; Let be the probability of engineering complexity occurring at the corresponding depth during positive drilling, where Δx A1This represents the distance between the drilled well A1 and the well currently being drilled, and when the distance is less than 1.1 km, it is always taken as 1.1.

[0047] S3. Repeat steps S1 to S2 to obtain multiple second matrices corresponding to the first matrix. After data processing of the second matrices, a third matrix is ​​obtained.

[0048] S31. Remove duplicate positive drilling depths from multiple second matrices, modify the corresponding probability of engineering complexity to the sum of the probabilities of engineering complexity corresponding to the duplicate positive drilling depths, and modify the risk level to the average risk level corresponding to the duplicate positive drilling depths.

[0049] S32. Confirm the number of different positive drilling depths in each second matrix, select the second matrix with the largest number of depths to complement the other second matrices, and the complementation includes setting the probability of engineering complexity and the degree of risk of the complemented second matrix to 0.

[0050] Optionally, a positive drilling column chart can be generated based on the third matrix.

[0051] Optionally, a third matrix can be used to determine the risk probability of drilling in progress.

[0052] Optionally, the formula for calculating the risk probability of drilling can be:

[0053] Where p is the probability of active drilling; P' j Let j be the third matrix, j = 1, ..., n, where n is a positive integer.

[0054] In another aspect, the present invention provides a second exemplary embodiment of a drilling engineering complexity assessment device. The drilling engineering complexity assessment device includes a first matrix module, a second matrix module, and a third matrix module connected in sequence. The first matrix module is configured to preprocess drilling complexity data from wells already drilled within a target area to establish a first matrix. The elements of the first matrix include the length of the depth point from the top of the formation, a representative value of engineering complexity occurrence, and a risk level. The second matrix module is configured to establish a second matrix characterizing the risk probability of the drilling operation based on the first matrix. The elements of the second matrix include the drilling depth, the probability of engineering complexity occurrence corresponding to the drilling depth, and the risk level. The third matrix module is configured to reuse the first matrix module and the first matrix module to obtain multiple second matrices corresponding to the first matrix, and to process the second matrices to obtain the third matrix.

[0055] In another aspect, the present invention provides a third exemplary embodiment of a computer device. The computer device includes a processor and a memory. The memory stores a computer program. The computer program is executed by the processor, causing the processor to execute the computer program of the complex evaluation method for drilling engineering according to the present invention.

[0056] In another aspect, the present invention provides a fourth exemplary embodiment of a computer-readable storage medium storing a computer program. The computer-readable storage medium stores a computer program that, when executed by a processor, causes the processor to execute the complex evaluation method for drilling engineering according to the present invention. The computer-readable recording medium is any data storage device capable of storing data readable by a computer system. Examples of computer-readable recording media include: read-only memory, random access memory, read-only optical disk, magnetic tape, floppy disk, optical data storage device, and carrier waves (such as data transmission via the Internet through wired or wireless transmission paths).

[0057] To better understand the exemplary embodiments of the present invention described above, further descriptions are provided below in conjunction with specific embodiments and accompanying drawings, but the examples given are not intended to limit the present invention.

[0058] Example 1

[0059] In this embodiment, as Figure 1 As shown, the complex evaluation method for drilling engineering can be achieved through the following steps:

[0060] Taking the prediction of well leakage in a certain formation of well A during drilling as an example, the thickness of a certain formation in well A is 15m, and the top boundary of this formation is 1000m. There are two wells, A1 and A2, in the exploration area of ​​well A.

[0061] S1. Preprocess the well leakage data of the adjacent drilled well A1 in this formation. The distance between well A1 and well A is 5km. The first column is the depth column, h1, h2, h... i This represents the length of the depth point from the top boundary of the stratum; the second column contains Z1, Z2, and Z... i The drilled wells are located at h1, h2, and h, respectively. i Z represents whether depth has occurred. i =1 indicates that the project is complex, Z i =0 indicates no engineering complexity occurred; the third column is a specific risk level column, which only appears when calculating well leakage, gas intrusion / well kick. If there is a well leakage risk, M1, M2, M i This represents the amount of drilling fluid lost.

[0062]

[0063] S2. Calculate the risk probability matrix P1 for ongoing drilling under the control of the already drilled well A1. (First column) This is a column for positive drilling depth, where Int represents integer rounding, and H... A1 The first column represents the thickness of the drilled formation A1, and the second column represents the thickness of the formation to be drilled in the current well. When the data in this column exceeds h, it is always set to h. Let Δx be the probability series of engineering complexities that occur during drilling at the corresponding depth, where ΔxA1 The distance between drilled well A1 and the well currently being drilled is 5 km.

[0064]

[0065] S3. Referring to step S1, preprocess the well leakage data of the drilled adjacent well A2 in this formation. The distance between well A2 and well A is 3km.

[0066]

[0067] S4. Referring to step S3, calculate the risk probability matrix P2 of the ongoing drilling under the control of the drilled well A2.

[0068]

[0069] S5. Perform data processing on the above risk probability matrices p1 and p2. The order of data processing is as follows:

[0070] 1) If a matrix contains repeated depths in the first column (depth column), only one depth needs to be retained. The value in the corresponding second column (probability column) should be the sum of the probability values ​​for the repeated depths, and the value in the corresponding third column should be the average risk value for the repeated depths.

[0071] 2) Using the most complete depth column in one matrix as the standard, complement the depth columns of other matrices, setting the corresponding probability column values ​​to 0 and the corresponding specific risk level column values ​​to 0. All matrices have identical rows and columns for ease of the following steps. Calculate the risk probability p of drilling under the joint control of drilled wells A1 and A2.

[0072]

[0073] S6. Project the well leakage depth column (first column), probability column (second column), and well leakage risk level column onto the drilling bar chart, as follows: Figure 1 As shown.

[0074] In summary, the beneficial effects of this invention include: Utilizing engineering complexity data from drilled wells within the region, and data such as the distance between drilled and currently drilling wells, this invention establishes a risk probability index for various engineering complexities in the layers to be drilled during the current drilling phase. The degree of risk probability is calculated through this risk probability index. Taking into account the regional characteristics of geology, it can quantitatively provide the probability and degree of engineering risks occurring in the layers to be drilled during the current drilling phase, and predict the well sections where different engineering risks may occur. This better ensures the demand for efficient and rapid drilling, providing support for cost reduction and efficiency improvement in drilling.

[0075] Although the present invention has been described above in conjunction with exemplary embodiments and accompanying drawings, those skilled in the art should understand that various modifications can be made to the above embodiments without departing from the spirit and scope of the claims.

Claims

1. A method for evaluating the complexity of drilling operations, characterized in that, The method includes the following steps: S1. Preprocess the engineering complexity data of the drilled wells in the target area and establish a first matrix. The elements of the first matrix include the length of the depth point from the top boundary of the formation, the representative value of the occurrence of engineering complexity, and the degree of risk. S2. Establish a second matrix representing the risk probability of active drilling based on the first matrix. The elements of the second matrix include the active drilling depth, the probability of engineering complexity occurring at the active drilling depth, and the risk level. S3. Repeat steps S1 to S2 to obtain multiple second matrices corresponding to the first matrix. After data processing of the second matrices, a third matrix is ​​obtained.

2. The method for complex evaluation of drilling operations according to claim 1, characterized in that, The data processing includes: S31. Remove the repeated positive drilling depths from the plurality of second matrices, modify the corresponding probability of engineering complexity to the sum of the probabilities of engineering complexity corresponding to the repeated positive drilling depths, and modify the risk level to the average risk level corresponding to the repeated positive drilling depths. S32. Confirm the number of different positive drilling depths in each of the second matrices, select the second matrix with the largest number of such depths to supplement the other second matrices, wherein the supplementation includes setting the probability of engineering complexity and the degree of risk of the supplemented second matrix to 0.

3. The method for complex evaluation of drilling operations according to claim 1, characterized in that, A drilling column chart is generated based on the third matrix.

4. The method for complex evaluation of drilling operations according to claim 1, characterized in that, When the risk is well leakage risk, the degree of risk is represented by the amount of drilling fluid loss; when the risk is gas invasion or well kick, the degree of risk is represented by the peak value of total hydrocarbons.

5. The method for complex evaluation of drilling operations according to claim 1, characterized in that, The first matrix is: The second matrix is: In the first matrix A1, the first column h1, h2, ..., hi represent the lengths of the depth points from the top boundary of the formation; the second column Z1, Z2, ..., Z i The values ​​at depths h1, h2, ..., hi, representing the depths of drilled wells, are representative values ​​for the occurrence of engineering complexities. If Z... i =1 indicates that the project is complex. If Z i =0 indicates no engineering complexity occurred; the third column M1, M2, ..., M i Assess the level of risk; In the second matrix P1, the first column H represents the positive drilling depth, where Int represents taking the integer value. A1 The first column represents the formation thickness of drilled well A1, and the second column represents the formation thickness of the formation to be drilled in the current well. When the data in the first column exceeds h, it is always set to h; Let be the probability of engineering complexity occurring at the corresponding depth during positive drilling, where Δx A1 The distance between drilled well A1 and the well currently being drilled is given, and when the distance is less than 1.1 km, it is always taken as 1.

1.

6. The method for complex evaluation of drilling operations according to claim 1, characterized in that, The probability of risk in the drilling process is determined using the third matrix.

7. The method for complex assessment of drilling operations according to claim 6, characterized in that, The formula for calculating the risk probability of the aforementioned drilling operation is: Where p is the probability of active drilling; P' j Let be the third matrix, j = 1, ..., n, where n is a positive integer.

8. A complex evaluation device for drilling engineering, characterized in that, The complex evaluation device for drilling engineering includes a first matrix module, a second matrix module, and a third matrix module connected in sequence, wherein... The first matrix module is configured to preprocess the engineering complexity data of drilled wells within the target area and establish a first matrix. The elements of the first matrix include the length of the depth point from the top boundary of the formation, the representative value of the occurrence of engineering complexity, and the degree of risk. The second matrix module is configured to establish a second matrix representing the risk probability of active drilling based on the first matrix. The elements of the second matrix include the active drilling depth, the probability of engineering complexity occurring at the active drilling depth, and the degree of risk. The third matrix module is configured to reuse the first matrix module and the first matrix module to obtain multiple second matrices corresponding to the first matrix, and to obtain the third matrix after data processing of the second matrices.

9. A computer device, characterized in that, The computer device includes: At least one processor; and A memory storing program instructions, wherein the program instructions are configured to be executed by the at least one processor, the program instructions including instructions for performing the complex evaluation method for drilling engineering according to any one of claims 1 to 7.

10. A computer-readable storage medium having computer program instructions stored thereon, characterized in that, When the computer program instructions are executed by the processor, they implement the complex evaluation method for drilling engineering as described in any one of claims 1 to 7.

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