Formation collapse pressure determination method and device, storage medium and program product

Abstract

The invention relates to a formation collapse pressure determination method and device, a storage medium and a program product. The formation collapse pressure determination method comprises the steps of determining a first pressure coefficient, a second pressure coefficient and a third pressure coefficient of a to-be-detected formation according to formation pressure data; according to the first pressure coefficient and the second pressure coefficient, establishing a first difference relation model of the stratum to be detected; according to the second pressure coefficient and the third pressure coefficient, a second difference relation model of the stratum to be detected is established; determining a first value range of the second pressure coefficient according to the first pressure coefficient and a first difference relation model; determining a second value range of the second pressure coefficient according to the third pressure coefficient and a second difference relation model; and determining a target value range according to the first value range and the second value range.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly to a method, device, storage medium and program product for determining formation collapse pressure. Background Art

[0002] Formation collapse pressure is the value of the drilling fluid column pressure that measures the stability of the wellbore during drilling, and is an important part of the formation pressure prediction in drilling design. Its accurate prediction is of great significance for the stability of the drilling wellbore, the protection of oil and gas layers, well control safety and efficient drilling. However, at present, there are technical problems such as poor confirmation efficiency and poor accuracy in the method for determining formation collapse pressure. Summary of the Invention

[0003] In view of this, the present invention provides a method, device, storage medium and program product for determining formation collapse pressure.

[0004] Specifically, the present invention is implemented through the following technical solutions:

[0005] According to a first aspect of the present invention, there is provided a method for determining formation collapse pressure, the method for determining formation collapse pressure comprising: obtaining formation pressure data of a formation to be detected, the formation pressure data being used to represent the pressure state of the formation to be detected; determining a first pressure coefficient, a second pressure coefficient and a third pressure coefficient of the formation to be detected according to the formation pressure data, the first pressure coefficient being used to represent the pore pressure of the formation to be detected, the second pressure coefficient being used to represent the collapse pressure of the formation to be detected, and the third pressure coefficient being used to represent the fracture pressure of the formation to be detected; establishing a first difference relationship model of the formation to be detected according to the first pressure coefficient and the second pressure coefficient; establishing a second difference relationship model of the formation to be detected according to the second pressure coefficient and the third pressure coefficient; determining a first value range of the second pressure coefficient according to the first pressure coefficient and the first difference relationship model; determining a second value range of the second pressure coefficient according to the third pressure coefficient and the second difference relationship model; and determining a target value range according to the first value range and the second value range.

[0006] In the method for determining formation collapse pressure in this technical solution, a first difference relationship model of the formation to be detected is established according to the first pressure coefficient and the second pressure coefficient, and then a second difference relationship model of the formation to be detected is established according to the second pressure coefficient and the third pressure coefficient. A first value range of the second pressure coefficient is determined according to the first pressure coefficient and the first difference relationship model, and a second value range of the second pressure coefficient is determined according to the third pressure coefficient and the second difference relationship model. Then, according to the first value range and the second value range, the target value range is obtained, which greatly simplifies the steps for determining formation collapse pressure, thereby improving the efficiency of determining formation collapse pressure and ensuring the data accuracy of formation collapse pressure at the same time.

[0007] According to a first aspect of the present invention, there is provided an apparatus for determining formation collapse pressure, the apparatus for determining formation collapse pressure comprising: a processing module configured to obtain formation pressure data of a formation to be detected, the formation pressure data being used to represent the pressure state of the formation to be detected; the processing module is further configured to determine a first pressure coefficient, a second pressure coefficient and a third pressure coefficient of the formation to be detected according to the formation pressure data, the first pressure coefficient being used to represent the pore pressure of the formation to be detected, the second pressure coefficient being used to represent the collapse pressure of the formation to be detected, and the third pressure coefficient being used to represent the fracture pressure of the formation to be detected; the processing module is further configured to establish a first difference relationship model of the formation to be detected according to the first pressure coefficient and the second pressure coefficient; the processing module is further configured to establish a second difference relationship model of the formation to be detected according to the second pressure coefficient and the third pressure coefficient; the processing module is further configured to determine a first value range of the second pressure coefficient according to the first pressure coefficient and the first difference relationship model; the processing module is further configured to determine a second value range of the second pressure coefficient according to the third pressure coefficient and the second difference relationship model; the processing module is further configured to determine a target value range according to the first value range and the second value range.

[0008] In the technical solution, the apparatus for determining formation collapse pressure establishes a first difference relationship model of the formation to be detected according to the first pressure coefficient and the second pressure coefficient, then establishes a second difference relationship model of the formation to be detected according to the second pressure coefficient and the third pressure coefficient, determines a first value range of the second pressure coefficient according to the first pressure coefficient and the first difference relationship model, and determines a second value range of the second pressure coefficient according to the third pressure coefficient and the second difference relationship model, and further obtains a target value range according to the first value range and the second value range, greatly simplifying the steps for determining formation collapse pressure, thereby improving the efficiency of determining formation collapse pressure, and at the same time ensuring the data accuracy of formation collapse pressure.

[0009] According to a third aspect of the present invention, there is provided an apparatus for determining formation collapse pressure, comprising a processor and a memory, wherein a program or instruction is stored in the memory, and when the program or instruction is executed by the processor, the steps of the method for determining formation collapse pressure in any of the above technical solutions are implemented. Therefore, the apparatus for determining formation collapse pressure has all the beneficial effects of the method for determining formation collapse pressure in any of the above technical solutions, and will not be described herein again.

[0010] According to a fourth aspect of the present invention, there is provided a storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the method for determining formation collapse pressure in a possible implementation manner of the first aspect are implemented.

[0011] According to a fifth aspect of the present invention, there is provided a program product including a computer program which, when executed by a processor, implements the steps of the method for determining the formation collapse pressure in the possible implementation manners of the first aspect.

[0012] The technical solution provided by the present invention at least brings the following beneficial effects:

[0013] The steps for determining the formation collapse pressure are greatly simplified, thereby improving the efficiency of determining the formation collapse pressure, and at the same time ensuring the data accuracy of the formation collapse pressure. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The accompanying drawings herein are incorporated into the specification and constitute a part of this specification, showing embodiments consistent with the present invention and used together with the specification to explain the principles of the present invention.

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or related technologies. Obviously, for those of ordinary skill in the art, other drawings can also be obtained based on these drawings without creative efforts.

[0016] Figure 1 FIG. 1 is one of the flow diagrams of the method for determining the formation collapse pressure provided by the embodiment of the present invention;

[0017] Figure 2 FIG. 2 is another flow diagram of the method for determining the formation collapse pressure provided by the embodiment of the present invention;

[0018] Figure 3 FIG. 3 is a third flow diagram of the method for determining the formation collapse pressure provided by the embodiment of the present invention;

[0019] Figure 4 FIG. 4 is a fourth flow diagram of the method for determining the formation collapse pressure provided by the embodiment of the present invention;

[0020] Figure 5 FIG. 5 is a fifth flow diagram of the method for determining the formation collapse pressure provided by the embodiment of the present invention;

[0021] Figure 6 FIG. 6 is a sixth flow diagram of the method for determining the formation collapse pressure provided by the embodiment of the present invention;

[0022] Figure 7 FIG. 7 is a seventh flow diagram of the method for determining the formation collapse pressure provided by the embodiment of the present invention;

[0023] Figure 8 FIG. 8 is an eighth flow diagram of the method for determining the formation collapse pressure provided by the embodiment of the present invention;

[0024] Figure 9 One of the structural block diagrams of a device for determining formation collapse pressure provided by an embodiment of the present invention;

[0025] Figure 10 One of the schematic diagrams of a device for determining formation collapse pressure provided by an embodiment of the present invention;

[0026] Figure 11 One of the schematic diagrams of a device for determining formation collapse pressure provided by an embodiment of the present invention;

[0027] Figure 12 One of the schematic diagrams of a device for determining formation collapse pressure provided by an embodiment of the present invention;

[0028] Figure 13 One of the schematic diagrams of a device for determining formation collapse pressure provided by an embodiment of the present invention;

[0029] Figure 14 One of the schematic diagrams of a device for determining formation collapse pressure provided by an embodiment of the present invention;

[0030] Figure 15 One of the structural block diagrams of a device for determining formation collapse pressure provided by an embodiment of the present invention; Detailed implementation manners

[0031] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0032] The execution subject of the technical solution of the method for determining formation collapse pressure provided by the present invention may be a determination device, and may also be determined according to actual usage requirements, which is not specifically limited herein. To more clearly describe the method for determining formation collapse pressure provided by the present invention, the following will be described with the determination device as the execution subject.

[0033] Refer to Figure 1 , an embodiment of the present invention provides a method for determining formation collapse pressure, and the method may include the following steps:

[0034] S101. Obtain formation pressure data of the formation to be detected;

[0035] S102. Determine the first pressure coefficient, the second pressure coefficient, and the third pressure coefficient of the formation to be detected based on the formation pressure data;

[0036] S103. Establish a first difference relationship model of the formation to be detected based on the first pressure coefficient and the second pressure coefficient;

[0037] S104. Establish a second difference relationship model of the formation to be detected based on the second pressure coefficient and the third pressure coefficient;

[0038] S105. Determine the first value range of the second pressure coefficient based on the first pressure coefficient and the first difference relationship model;

[0039] S106. Determine the second value range of the second pressure coefficient based on the third pressure coefficient and the second difference relationship model;

[0040] S107. Determine the target value range based on the first value range and the second value range.

[0041] In this embodiment, a method for determining the formation collapse pressure is provided. The determining device obtains the formation pressure data of the formation to be detected, where the formation to be detected is the formation for which the formation collapse pressure needs to be determined, and the formation pressure data is used to represent the pressure state of the formation to be detected.

[0042] Exemplarily, the formation to be detected may specifically be the formation where the oil well is located, and the formation pressure data may be the specific pressure data of the formation where the oil well is located.

[0043] The determining device determines the first pressure coefficient, the second pressure coefficient, and the third pressure coefficient of the formation to be detected based on the formation pressure data, where the first pressure coefficient is used to represent the pore pressure of the formation to be detected, the second pressure coefficient is used to represent the collapse pressure of the formation to be detected, and the third pressure coefficient is used to represent the fracture pressure of the formation to be detected.

[0044] Exemplarily, the first pressure coefficient may specifically be the formation pore pressure coefficient of the formation to be detected.

[0045] Exemplarily, the second pressure coefficient may specifically be the formation collapse pressure coefficient of the formation to be detected.

[0046] Exemplarily, the third pressure coefficient may specifically be the formation fracture pressure coefficient of the formation to be detected.

[0047] The determining device establishes a first difference relationship model of the formation to be detected based on the first pressure coefficient and the second pressure coefficient, where the first difference relationship model is a difference model between the pore pressure and the collapse pressure.

[0048] Exemplarily, the first difference relationship model can specifically be a difference relationship model between the formation collapse pressure coefficient and the pore pressure coefficient.

[0049] The determination device establishes a second difference relationship model of the formation to be detected based on the second pressure coefficient and the third pressure coefficient, where the second difference relationship model is a difference model between the fracture pressure and the collapse pressure.

[0050] Exemplarily, the second difference relationship model can specifically be a difference relationship model between the formation collapse pressure coefficient and the fracture pressure coefficient.

[0051] The determination device determines a first value range of the second pressure coefficient according to the first pressure coefficient and the first difference relationship model, where the first value range is the data value range corresponding to the second pressure coefficient.

[0052] Exemplarily, based on the first difference relationship model, a first value range of the formation collapse pressure can be determined.

[0053] The determination device determines a second value range of the second pressure coefficient according to the third pressure coefficient and the second difference relationship model, where the second value range is the data value range corresponding to the second pressure coefficient.

[0054] Exemplarily, based on the second difference relationship model, a second value range of the formation collapse pressure can be determined.

[0055] The determination device compares the first value range and the second value range to obtain a target value range, where the target value range is the value range corresponding to the formation collapse pressure.

[0056] Exemplarily, the target value range can be used to represent the formation collapse pressure range of the formation to be detected.

[0057] In this embodiment, the method for determining the formation collapse pressure establishes a first difference relationship model of the formation to be detected according to the first pressure coefficient and the second pressure coefficient, and then establishes a second difference relationship model of the formation to be detected according to the second pressure coefficient and the third pressure coefficient. According to the first pressure coefficient and the first difference relationship model, a first value range of the second pressure coefficient is determined, and according to the third pressure coefficient and the second difference relationship model, a second value range of the second pressure coefficient is determined. Furthermore, according to the first value range and the second value range, a target value range is obtained, which greatly simplifies the steps for determining the formation collapse pressure, thereby improving the determination efficiency of the formation collapse pressure and ensuring the data accuracy of the formation collapse pressure at the same time.

[0058] In some embodiments, optionally, such as Figure 2As shown, a method for determining the formation collapse pressure is proposed. According to the formation pressure data, the first pressure coefficient, the second pressure coefficient, and the third pressure coefficient of the formation to be detected are determined, including:

[0059] S201. Process the first prediction data to determine the first pressure coefficient;

[0060] S202. Process the second prediction data to determine the second pressure coefficient;

[0061] S203. Process the third prediction data to determine the third pressure coefficient.

[0062] In this embodiment, the formation pressure data includes the first prediction data, the second prediction data, and the third prediction data. Among them, the first prediction data is the prediction data of the formation pore pressure, the second prediction data is the prediction data of the formation collapse pressure, and the third prediction data is the prediction data of the formation fracture pressure. The determination device processes the first prediction data to obtain the first pressure coefficient of the formation to be detected, the determination device processes the second prediction data to determine the second pressure coefficient, and the determination device processes the third prediction data to determine the third pressure coefficient.

[0063] Exemplarily, the first prediction data and the third prediction data can be the data obtained by carrying out pressure prediction using well logging data in drilling geological / engineering design.

[0064] Exemplarily, the wellbore diameter enlargement rate is used as an index to represent the wellbore stability, and the collapse pressure prediction result is optimized to obtain the second prediction data.

[0065] In this embodiment, the method for determining the formation collapse pressure processes the first prediction data to obtain the first pressure coefficient of the formation to be detected, then processes the second prediction data to determine the second pressure coefficient, and processes the third prediction data to determine the third pressure coefficient, ensuring the data accuracy of the formation pressure data, and further ensuring the data accuracy of the formation collapse pressure.

[0066] In some embodiments, optionally, as Figure 3 shown, a method for determining the formation collapse pressure is proposed. According to the first pressure coefficient and the second pressure coefficient, a first difference relationship model of the formation to be detected is established, including:

[0067] S301. Obtain the first mean value and the first standard deviation between the first pressure coefficient and the second pressure coefficient;

[0068] S302. Establish a first difference relationship model according to the first mean value and the first standard deviation.

[0069] In this embodiment, the determination device obtains the first mean value and the first standard deviation between the first pressure coefficient and the second pressure coefficient, where the first mean value is the mean value of the first pressure coefficient and the second pressure coefficient, and the first standard deviation is the standard deviation between the first pressure coefficient and the second pressure coefficient.

[0070] Exemplarily, a mean operation is performed on the first pressure coefficient and the second pressure coefficient to obtain the first mean value, and a calculation is performed on the first mean value, the first pressure coefficient, and the second pressure coefficient to obtain the first standard deviation.

[0071] The determination device establishes a first difference relationship model according to the first mean value and the first standard deviation.

[0072] In this embodiment, the method for determining the formation collapse pressure ensures the model accuracy of the first difference relationship model by obtaining the first mean value and the first standard deviation between the first pressure coefficient and the second pressure coefficient, and then establishing the first difference relationship model according to the first mean value and the first standard deviation, thereby ensuring the data accuracy of the formation collapse pressure.

[0073] In some embodiments, optionally, as Figure 4 shown, a method for determining the formation collapse pressure is proposed. A second difference relationship model of the formation to be detected is established according to the second pressure coefficient and the third pressure coefficient, including:

[0074] S401. Obtain the second mean value and the second standard deviation between the second pressure coefficient and the third pressure coefficient;

[0075] S401. Establish a second difference relationship model according to the second mean value and the second standard deviation.

[0076] In this embodiment, the determination device obtains the second mean value and the second standard deviation between the second pressure coefficient and the third pressure coefficient, where the second mean value is the mean value of the second pressure coefficient and the third pressure coefficient, and the second standard deviation is the standard deviation between the second pressure coefficient and the third pressure coefficient.

[0077] Exemplarily, a mean operation is performed on the second pressure coefficient and the third pressure coefficient to obtain the second mean value, and a calculation is performed on the second mean value, the third pressure coefficient, and the second pressure coefficient to obtain the second standard deviation.

[0078] The determination device establishes a second difference relationship model according to the second mean value and the second standard deviation.

[0079] In this embodiment, the method for determining the formation collapse pressure ensures the model accuracy of the second difference relationship model by obtaining the second mean value and the second standard deviation between the third pressure coefficient and the second pressure coefficient, and then establishing the second difference relationship model according to the second mean value and the second standard deviation, thereby ensuring the data accuracy of the formation collapse pressure.

[0080] In some embodiments, optionally, as Figure 5 shown, a method for determining the formation collapse pressure is proposed. According to the first pressure coefficient and the first difference relationship model, the first value range of the second pressure coefficient is determined, including:

[0081] S501. Obtain the first confidence level corresponding to the first difference relationship model;

[0082] S502. Determine the first value range according to the first confidence level and the first pressure coefficient.

[0083] In this embodiment, the determining device obtains the first confidence level corresponding to the first difference relationship model, where the first confidence level is the data confidence level corresponding to the first difference relationship model.

[0084] Exemplarily, the first confidence level can be a budgeted value, specifically 90%.

[0085] The determining device performs data processing on the first confidence level and the first pressure coefficient to obtain the first value range.

[0086] In this embodiment, the method for determining the formation collapse pressure obtains the first confidence level corresponding to the first difference relationship model, and then performs data processing on the first confidence level and the first pressure coefficient to obtain the first value range, ensuring the data accuracy of the first value range, and further ensuring the data accuracy of the formation collapse pressure.

[0087] In some embodiments, optionally, as Figure 6 shown, a method for determining the formation collapse pressure is proposed. According to the third pressure coefficient and the second difference relationship model, the second value range of the second pressure coefficient is determined, including:

[0088] S601. Obtain the second confidence level corresponding to the second difference relationship model;

[0089] S601. Determine the second value range according to the second confidence level and the third pressure coefficient.

[0090] In this embodiment, the determining device obtains the second confidence level corresponding to the second difference relationship model, where the second confidence level is the data confidence level corresponding to the second difference relationship model.

[0091] Exemplarily, the second confidence level can be a budgeted value, specifically 91%.

[0092] The determining device performs data processing on the second confidence level and the second pressure coefficient to obtain the second value range.

[0093] In this embodiment, the method for determining the formation collapse pressure ensures the data accuracy of the second value range by obtaining the second confidence level corresponding to the second difference relationship model and then processing the second confidence level and the second pressure coefficient, thereby ensuring the data accuracy of the formation collapse pressure.

[0094] In some embodiments, optionally, as Figure 7 shown, a method for determining the formation collapse pressure is proposed. The method for determining the formation collapse pressure includes:

[0095] S701. Obtain the formation pressure data of the formation to be detected;

[0096] S702. Determine the first pressure coefficient, the second pressure coefficient, and the third pressure coefficient of the formation to be detected according to the formation pressure data;

[0097] S703. Establish a first difference relationship model of the formation to be detected according to the first pressure coefficient and the second pressure coefficient;

[0098] S704. Establish a second difference relationship model of the formation to be detected according to the second pressure coefficient and the third pressure coefficient;

[0099] S705. Determine the first value range of the second pressure coefficient according to the first pressure coefficient and the first difference relationship model;

[0100] S706. Determine the second value range of the second pressure coefficient according to the third pressure coefficient and the second difference relationship model;

[0101] S707. Determine the target value range by obtaining the intersection of the first value range and the second value range.

[0102] In this embodiment, the determining device determines the target value range by obtaining the intersection of the first value range and the second value range.

[0103] Exemplarily, compare the first value range and the second value range, determine the intersection between the first value range and the second value range, and then determine the target value range.

[0104] In this embodiment, the method for determining the formation collapse pressure determines the target value range by obtaining the intersection of the first value range and the second value range, ensuring the data accuracy of the target value range, and thereby ensuring the data accuracy of the formation collapse pressure.

[0105] In some embodiments, optionally, as Figure 8 shown, a method for determining the formation collapse pressure is proposed. The method for determining the formation collapse pressure includes:

[0106] S801. Obtain the formation pressure data predicted by the existing logging curve method in the oilfield;

[0107] S802. Optimize the data whose pressure prediction results match the actual drilling application;

[0108] S803. Conduct geostatistical analysis on the optimized formation pressure data;

[0109] S804. Establish a difference relationship model between the formation collapse pressure coefficient and the pore pressure coefficient and the fracture pressure coefficient;

[0110] S805. Guide the prediction and value selection of the formation collapse pressure coefficient in drilling design according to the difference relationship.

[0111] In this embodiment, obtaining the formation pressure data predicted by the existing logging curve method in the oilfield includes: collecting the drilling design results of new wells in previous years in the oilfield development block; extracting the formation pressure data predicted in the drilling design of the oilfield block for the entire well section; collecting the hole diameter and bit size data of the reference wells for pressure prediction in the oilfield development block; collecting the measured formation pore pressure in the oilfield development block; collecting the measured fracture pressure data in the oilfield development block.

[0112] Optimizing the data whose pressure prediction results match the actual drilling application specifically includes:

[0113] Using the measured formation pore pressure and fracture pressure data to test the compliance of the pore and fracture pressure prediction results extracted in the drilling design.

[0114] Using the hole diameter and bit size during actual drilling to calculate the hole diameter change rate and test the compliance of the collapse pressure prediction extracted in the drilling design.

[0115] Select the predicted pressure data of the wells whose compliance error between the pressure prediction results of the logging curve method and the above measured pressure results and hole diameter change rate results is within an acceptable range.

[0116] Based on the above optimized data, establish a formation pressure database including fields such as well name, depth, pore pressure coefficient, fracture pressure coefficient, and collapse pressure coefficient.

[0117] The above "compliance" can be quantitatively described by the ratio of the prediction and measurement error to the actual result, and the compliance requirements for different regions and different intervals can be selected according to the actual situation and quality requirements.

[0118] Conducting geostatistical analysis on the optimized formation pressure data specifically includes:

[0119] Perform data cleaning, screening, deletion of outliers and other sorting operations on the optimized pressure prediction results of the logging curve method.

[0120] Statistical analysis is carried out on the differences in pore pressure coefficient, collapse pressure coefficient, and fracture pressure coefficient respectively, and distribution histograms / probability distribution graphs are plotted.

[0121] A difference relationship model is established between the formation collapse pressure coefficient and the pore pressure coefficient and the fracture pressure coefficient, specifically including:

[0122] Verify that the collapse-pore difference follows a normal distribution law, obtain the mean and standard deviation of the collapse-pore pressure coefficient, and establish a difference relationship model for the collapse-pore pressure coefficient.

[0123] Verify that the fracture-collapse difference follows a normal distribution law, obtain the mean and standard deviation of the fracture-collapse pressure coefficient, and establish a difference relationship model for the fracture-collapse pressure coefficient.

[0124] For the same area, the controlling and influencing factors of formation pressure development are similar, and the formation pressure difference generally conforms to (approximately conforms to) the normal distribution law. When the difference distribution significantly shows multiple peaks, the main controlling factors of formation pressure should be analyzed, the data under different main controlling factors should be classified and statistically analyzed, and difference relationship models should be established respectively.

[0125] Geological factors that may affect the difference distribution include, but are not limited to, differential compaction and formation sedimentary hiatus. When conducting formation pressure prediction research in different areas, it should be analyzed and demonstrated in combination with actual situations.

[0126] Based on the difference relationship, guide the prediction and selection of values for the formation collapse pressure coefficient in drilling design, specifically including:

[0127] Based on the pore pressure coefficient, with reference to the collapse-pore pressure coefficient distribution model, clarify the confidence level and interval, and calculate the value range of the collapse pressure coefficient;

[0128] Based on the fracture pressure coefficient, with reference to the fracture-collapse pressure coefficient distribution model, clarify the confidence level and interval, and calculate the value range of the collapse pressure coefficient;

[0129] Take the intersection of the calculation results of the two collapse pressure coefficients to obtain the result of predicting and selecting the value of the collapse pressure coefficient.

[0130] Based on the same inventive concept, as Figure 9 shown, an apparatus 900 for determining formation collapse pressure according to an embodiment of the present invention further includes:

[0131] A processing module 902, configured to obtain formation pressure data of a formation to be detected, where the formation pressure data is used to represent the pressure state of the formation to be detected;

[0132] The processing module 902 is further configured to determine a first pressure coefficient, a second pressure coefficient, and a third pressure coefficient of the formation to be detected according to the formation pressure data, where the first pressure coefficient is used to represent the pore pressure of the formation to be detected, the second pressure coefficient is used to represent the collapse pressure of the formation to be detected, and the third pressure coefficient is used to represent the fracture pressure of the formation to be detected;

[0133] The processing module 902 is further configured to establish a first difference relationship model of the formation to be detected according to the first pressure coefficient and the second pressure coefficient;

[0134] The processing module 902 is further configured to establish a second difference relationship model of the formation to be detected according to the second pressure coefficient and the third pressure coefficient;

[0135] The processing module 902 is further configured to determine a first value range of the second pressure coefficient according to the first pressure coefficient and the first difference relationship model;

[0136] The processing module 902 is further configured to determine a second value range of the second pressure coefficient according to the third pressure coefficient and the second difference relationship model;

[0137] The processing module 902 is further configured to determine a target value range according to the first value range and the second value range.

[0138] In this embodiment, a device 900 for determining the collapse pressure of a formation is provided. The processing module 902 acquires formation pressure data of the formation to be detected, where the formation to be detected is a formation for which the collapse pressure of the formation needs to be determined, and the formation pressure data is used to represent the pressure state of the formation to be detected.

[0139] Exemplarily, the formation to be detected may specifically be the formation where the oil well is located, and the formation pressure data may be the specific pressure data of the formation where the oil well is located.

[0140] The processing module 902 determines a first pressure coefficient, a second pressure coefficient, and a third pressure coefficient of the formation to be detected according to the formation pressure data, where the first pressure coefficient is used to represent the pore pressure of the formation to be detected, the second pressure coefficient is used to represent the collapse pressure of the formation to be detected, and the third pressure coefficient is used to represent the fracture pressure of the formation to be detected.

[0141] Exemplarily, the first pressure coefficient may specifically be the formation pore pressure coefficient of the formation to be detected.

[0142] Exemplarily, the second pressure coefficient may specifically be the formation collapse pressure coefficient of the formation to be detected.

[0143] Exemplarily, the third pressure coefficient may specifically be the formation fracture pressure coefficient of the formation to be detected.

[0144] The processing module 902 establishes a first difference relationship model for the formation to be detected based on the first pressure coefficient and the second pressure coefficient, where the first difference relationship model is a difference model between the pore pressure and the collapse pressure.

[0145] Exemplarily, the first difference relationship model can specifically be a difference relationship model between the formation collapse pressure coefficient and the pore pressure coefficient.

[0146] The processing module 902 establishes a second difference relationship model for the formation to be detected based on the second pressure coefficient and the third pressure coefficient, where the second difference relationship model is a difference model between the fracture pressure and the collapse pressure.

[0147] Exemplarily, the second difference relationship model can specifically be a difference relationship model between the formation collapse pressure coefficient and the fracture pressure coefficient.

[0148] The processing module 902 determines a first value range of the second pressure coefficient according to the first pressure coefficient and the first difference relationship model, where the first value range is the data value range corresponding to the second pressure coefficient.

[0149] Exemplarily, based on the first difference relationship model, a first value range of the formation collapse pressure can be determined.

[0150] The processing module 902 determines a second value range of the second pressure coefficient according to the third pressure coefficient and the second difference relationship model, where the second value range is the data value range corresponding to the second pressure coefficient.

[0151] Exemplarily, based on the second difference relationship model, a second value range of the formation collapse pressure can be determined.

[0152] The processing module 902 compares the first value range and the second value range to obtain a target value range, where the target value range is the value range corresponding to the formation collapse pressure.

[0153] Exemplarily, the target value range can be used to represent the formation collapse pressure range of the formation to be detected.

[0154] In this embodiment, the determining device 900 for formation collapse pressure establishes a first difference relationship model of the formation to be detected according to the first pressure coefficient and the second pressure coefficient, and then establishes a second difference relationship model of the formation to be detected according to the second pressure coefficient and the third pressure coefficient. According to the first pressure coefficient and the first difference relationship model, a first value range of the second pressure coefficient is determined, and according to the third pressure coefficient and the second difference relationship model, a second value range of the second pressure coefficient is determined. Furthermore, according to the first value range and the second value range, a target value range is obtained, which greatly simplifies the steps for determining the formation collapse pressure, thereby improving the efficiency of determining the formation collapse pressure and ensuring the data accuracy of the formation collapse pressure at the same time.

[0155] In some embodiments, optionally, a determining device 900 for formation collapse pressure is provided, further including:

[0156] The processing module 902 is further configured to process the first prediction data to determine the first pressure coefficient;

[0157] The processing module 902 is further configured to process the second prediction data to determine the second pressure coefficient;

[0158] The processing module 902 is further configured to process the third prediction data to determine the third pressure coefficient.

[0159] In this embodiment, the determining device 900 for formation collapse pressure processes the first prediction data to obtain the first pressure coefficient of the formation to be detected, then processes the second prediction data to determine the second pressure coefficient, and processes the third prediction data to determine the third pressure coefficient, ensuring the data accuracy of the formation pressure data, and thus ensuring the data accuracy of the formation collapse pressure.

[0160] In some embodiments, optionally, a determining device 900 for formation collapse pressure is provided, further including:

[0161] The processing module 902 is further configured to obtain a first mean value and a first standard deviation between the first pressure coefficient and the second pressure coefficient;

[0162] The processing module 902 is further configured to establish a first difference relationship model according to the first mean value and the first standard deviation.

[0163] In this embodiment, the determining device 900 for formation collapse pressure obtains the first mean value and the first standard deviation between the first pressure coefficient and the second pressure coefficient, and then establishes a first difference relationship model according to the first mean value and the first standard deviation, ensuring the model accuracy of the first difference relationship model, and thus ensuring the data accuracy of the formation collapse pressure.

[0164] In some embodiments, optionally, a device 900 for determining the formation collapse pressure is provided, further comprising:

[0165] A processing module 902, further configured to obtain a second mean value and a second standard deviation between a second pressure coefficient and a third pressure coefficient;

[0166] The processing module 902 is further configured to establish a second difference relationship model according to the second mean value and the second standard deviation.

[0167] In this embodiment, the device 900 for determining the formation collapse pressure obtains the second mean value and the second standard deviation between the third pressure coefficient and the second pressure coefficient, and then establishes the second difference relationship model according to the second mean value and the second standard deviation, ensuring the model accuracy of the second difference relationship model, and further ensuring the data accuracy of the formation collapse pressure.

[0168] In some embodiments, optionally, a device 900 for determining the formation collapse pressure is provided, further comprising:

[0169] A processing module 902, further configured to obtain a first confidence level corresponding to the first difference relationship model;

[0170] The processing module 902 is further configured to determine a first value range according to the first confidence level and the first pressure coefficient.

[0171] In this embodiment, the device 900 for determining the formation collapse pressure obtains the first confidence level corresponding to the first difference relationship model, and then processes the data of the first confidence level and the first pressure coefficient to obtain the first value range, ensuring the data accuracy of the first value range, and further ensuring the data accuracy of the formation collapse pressure.

[0172] In some embodiments, optionally, a device 900 for determining the formation collapse pressure is provided, further comprising:

[0173] A processing module 902, further configured to obtain a second confidence level corresponding to the second difference relationship model;

[0174] The processing module 902 is further configured to determine a second value range according to the second confidence level and the third pressure coefficient.

[0175] In this embodiment, the device 900 for determining the formation collapse pressure obtains the second confidence level corresponding to the second difference relationship model, and then processes the data of the second confidence level and the second pressure coefficient to obtain the second value range, ensuring the data accuracy of the second value range, and further ensuring the data accuracy of the formation collapse pressure.

[0176] In some embodiments, optionally, a device 900 for determining the formation collapse pressure is provided, further comprising:

[0177] The processing module 902 is further configured to determine the target value range by obtaining the intersection of the first value range and the second value range.

[0178] In this embodiment, the formation collapse pressure determination device 900 determines the target value range by obtaining the intersection of the first value range and the second value range, ensuring the data accuracy of the target value range and thus the data accuracy of the formation collapse pressure.

[0179] Exemplarily, Figure 10 and Figure 11 represents the statistical distribution of the differences between the collapse, pore pressure, and fracture pressure coefficients of the formation to be detected, Figure 12 representing the predicted value pattern of the formation collapse pressure.

[0180] Exemplarily, a set of examples is provided. In the first step, obtain the formation pressure data predicted by the existing well logging curve method in the oilfield, collect the measured formation pressure, fracture pressure data, and drilling geological / engineering design in the study area, and extract the formation pressure prediction results. Among them, Table 1 is the formation pressure prediction data table of Well B in Area A.

[0181] Table 1

[0182] Vertical depth m 3313 3322 3330 3339 3348 3356 3365 3374 3382 3391 3400 <![CDATA[Pore pressure g / cm 3 > 1.22 1.22 1.22 1.21 1.22 1.24 1.22 1.21 1.23 1.23 1.22 <![CDATA[Collapse pressure g / cm 3 > 1.32 1.3 1.3 1.3 1.34 1.32 1.31 1.31 1.36 1.33 1.33 <![CDATA[Fracture pressure g / cm 3 > 1.87 1.87 1.87 1.87 1.87 1.88 1.88 1.87 1.88 1.88 1.88

[0183] Collect the bit program data of the wells used for pressure prediction. Among them, Table 2 is the bit program data table of Well B in Area A.

[0184] Table 2

[0185]

[0186] Collect the bit program data of the wells used for pressure prediction. Among them, Table 3 is the well diameter and change rate of Well B in Area A.

[0187] Table 3

[0188]

[0189] Collect the existing pore pressure data and fracture pressure data in the study area.

[0190] In the second step, select the data where the pressure prediction results match the actual drilling application

[0191] For pore pressure and fracture pressure, since the prediction and the known pressure data have been matched when using well logging data for pressure prediction in the drilling geological / engineering design, the prediction results are considered reliable when there are no complications caused by pressure during the drilling process.

[0192] For the collapse pressure, since there is no effective measured data for verification at present, the wellbore enlargement rate is used as the performance index of wellbore stability during actual operation to optimize the prediction results of the collapse pressure.

[0193] The average wellbore enlargement rate is selected with reference to SY / T5088 "Drilling Wellbore Quality Control Specification" and in combination with the oilfield's requirements for drilling wellbore quality standards.

[0194] The calculation formula for the average wellbore enlargement rate:

[0195]

[0196] In the formula, C p is the average wellbore enlargement rate of a certain well section, expressed as a percentage, D ph is the measured average wellbore diameter of a certain well section, with the unit of millimeter (mm), D p is the bit diameter, with the unit of millimeter (mm).

[0197] A formation pressure prediction database for the study area is established. Among them, Table 4 shows the existing three-pressure prediction data of the formation in Area A.

[0198] Table 4

[0199]

[0200]

[0201] In the third step, geostatistical analysis is carried out on the optimized formation pressure data. Based on the existing three-pressure prediction data of the formation, statistical analysis is carried out on the difference between the formation collapse pressure and the pore pressure and the difference between the fracture pressure and the collapse pressure. The results are shown in Figure 13 、 Figure 14 、Table 5 and Table 6. Table 5 is the statistical table of the difference between the formation collapse pressure and the pore pressure in Area A, and Table 6 is the statistical table of the difference between the formation fracture pressure and the collapse pressure in Area A.

[0202] Table 5

[0203]

[0204] The values in the row of SFG (collapse pressure)-PP (pore pressure) in the table represent the statistical boundary values. The sample number and cumulative ratio in the column corresponding to -0.18 refer to the samples where ≥-0.18 and <-0.13, and so on. The samples corresponding to 0.32 refer to the samples greater than or equal to 0.32.

[0205] Table 6

[0206]

[0207]

[0208] The values in the FG (fracture pressure) - SFG row in the table represent the statistical boundary values. The sample number and cumulative ratio corresponding to the column of 0.38 refer to the samples that are ≥ 0.38 and < 0.434, and so on. The samples corresponding to 0.92 refer to the samples that are ≥ 0.92.

[0209] Step 4: Establish a difference relationship model between the formation collapse pressure coefficient, pore pressure coefficient, and fracture pressure coefficient

[0210] From the statistical results of the difference relationships in the above regions, it can be seen that the differences between the collapse pressure - pore pressure and fracture pressure - collapse pressure are approximately normally distributed.

[0211] When the confidence level is 90%, the distribution range of the collapse - pore difference (δ1) is approximately 0.01 - 0.22, the peak distribution is in 0.12 - 0.22, and the average is about 0.17. The distribution range of the fracture - collapse difference (δ2) is approximately 0.488 - 0.704, the peak distribution is in 0.49 - 0.65, and the average value is about 0.56. When the cumulative ratio reaches 90%, the collapse - pore difference is around 0.15, and the fracture - collapse difference is around 0.63.

[0212] Based on the above statistical analysis, the following relationship model can be obtained

[0213] SFG = PP + δ1; (1)

[0214] SFG = FG - δ2; (2)

[0215] Where, FG is the fracture pressure, SFG is the collapse pressure, PP is the pore pressure, δ1 is the collapse - pore difference, and δ2 is the fracture - collapse difference.

[0216] Step 5: Guide the prediction and value selection of the formation collapse pressure coefficient in drilling design according to the difference relationship

[0217] Assume that the known pore pressure coefficient in XX region is 1.05 and the corresponding fracture pressure coefficient is 1.72. Then, based on the above relationship

[0218] From equation (1), it can be obtained that:

[0219] (1.05 + 0.01) 1.06 ≤ SFG ≤ 1.27 (1.05 + 0.22)

[0220] From equation (2), it can be obtained that:

[0221] (1.72 - 0.704) 1.02 ≤ SFG ≤ 1.23 (1.72 - 0.488)

[0222] Based on the calculation results of equations (1) and (2), 1.06 ≤ SFG ≤ 1.23. Through the dual control of the difference between the collapse pressure and the pore pressure and the fracture pressure, the predicted value range of the collapse pressure is further narrowed.

[0223] When actually designing the value, comprehensive consideration can be given to the drilling interval, lithology, oil and gas bearing property, etc. For non-target intervals, when the shale interval or the formation with a high shale content is prone to collapse, considering the drilling efficiency and safety factors, a relatively high value can be appropriately selected within the predicted range during design. For the interval of the oil and gas layer, considering the protection of the oil and gas layer, a relatively low value can be appropriately selected for the design value.

[0224] Based on the same inventive concept, an embodiment of the present invention further provides a device 1500 for determining the formation collapse pressure. The device 1500 for determining the formation collapse pressure includes a processor 1502 and a memory 1504. A program or instruction is stored in the memory 1504, and when the program or instruction is executed by the processor 1502, the steps of the method for determining the formation collapse pressure in any of the above technical solutions are implemented. Therefore, the device for determining the formation collapse pressure has all the beneficial effects of the method for determining the formation collapse pressure in any of the above technical solutions, which will not be elaborated here.

[0225] Based on the same inventive concept, an embodiment of the present invention further provides a storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the method for determining the formation collapse pressure in any of the above possible implementation manners are implemented.

[0226] Optionally, the storage medium may be a non-temporary computer-readable storage medium. For example, the non-temporary computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0227] Based on the same inventive concept, an embodiment of the present invention further provides a program product, including a computer program, and when the program is executed by a processor, the steps of the method for determining the formation collapse pressure in any of the above possible implementation manners are implemented.

[0228] The embodiments of the subject matter and the functional operations described in this specification can be implemented in the following: digital electronic circuits, tangible computer software or firmware, computer hardware including the structures disclosed in this specification and their structural equivalents, or a combination of one or more of them. Embodiments of the subject matter described in this specification can be implemented as one or more computer programs, i.e., one or more modules in computer program instructions encoded on a tangible non-transitory program carrier to be executed by a data processing apparatus or to control the operation of a data processing apparatus. Alternatively or additionally, the program instructions can be encoded on a manually generated propagated signal, such as a machine-generated electrical, optical, or electromagnetic signal, which is generated to encode information and transmit it to a suitable receiver apparatus for execution by a data processing apparatus. A computer storage medium can be a machine-readable storage device, a machine-readable storage substrate, a random or serial access memory device, or a combination of one or more of them.

[0229] The processes and logical flows described in this specification can be performed by one or more programmable computers executing one or more computer programs to perform the corresponding functions by operating on input data and generating output. The processes and logical flows can also be performed by special purpose logic circuitry, such as an FPGA (Field Programmable Gate Array) or an ASIC (Application Specific Integrated Circuit), and the apparatus can also be implemented as special purpose logic circuitry.

[0230] Computers suitable for executing a computer program include, for example, general and / or special purpose microprocessors, or any other type of central processing unit. Generally, a central processing unit will receive instructions and data from a read-only memory and / or a random access memory. The basic components of a computer include a central processing unit for implementing or executing instructions and one or more memory devices for storing instructions and data. Generally, a computer will also include one or more mass storage devices for storing data, such as magnetic disks, magneto-optical disks, or optical disks, etc., or the computer will be operatively coupled to such mass storage devices to receive data therefrom or to transfer data thereto, or both. However, a computer is not necessarily required to have such devices. In addition, a computer can be embedded in another device, such as a mobile phone, a personal digital assistant (PDA), a mobile audio or video player, a game console, a global positioning system (GPS) receiver, or a portable storage device such as a universal serial bus (USB) flash drive, to name just a few.

[0231] Computer-readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media, and memory devices, including, for example, semiconductor memory devices (such as EPROM, EEPROM, and flash memory devices), magnetic disks (such as internal hard disks or removable disks), magneto-optical disks, and CD-ROM and DVD-ROM disks. The processor and the memory may be supplemented by, or incorporated in, special purpose logic circuitry.

[0232] Although this specification contains many specific implementation details, these should not be construed as limiting the scope of any invention or the scope of what is claimed, but rather as primarily describing the features of specific embodiments of particular inventions. Certain features that are described in multiple embodiments in this specification may also be implemented in combination in a single embodiment. On the other hand, the various features described in a single embodiment may also be implemented separately in multiple embodiments or in any suitable sub-combination. In addition, although features may act in certain combinations and even be claimed as such initially, one or more features from a claimed combination may in some cases be excluded from the combination, and the claimed combination may be directed to a sub-combination or a variation of a sub-combination.

[0233] Similarly, although operations are depicted in the drawings in a particular order, this should not be construed as requiring that the operations be performed in the particular order shown or sequentially, or that all illustrated operations be performed, to achieve the desired result. In some cases, multitasking and parallel processing may be advantageous. In addition, the separation of various system modules and components in the above embodiments should not be construed as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product or packaged into multiple software products.

[0234] Thus, particular embodiments of the subject matter have been described. Other embodiments are within the scope of the appended claims. In some cases, the acts recited in the claims can be performed in a different order and still achieve the desired result. In addition, the processes depicted in the figures are not necessarily in the particular order or sequential order shown to achieve the desired result. In some implementations, multitasking and parallel processing may be advantageous.

[0235] It should be noted that in this text, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0236] The above are only specific embodiments of the present invention, enabling those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown herein, but rather to the broadest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for determining formation collapse pressure, characterized in that, the method for determining formation collapse pressure includes: Obtain formation pressure data of the formation to be detected, and the formation pressure data is used to represent the pressure state of the formation to be detected; According to the formation pressure data, determine the first pressure coefficient, the second pressure coefficient and the third pressure coefficient of the formation to be detected. The first pressure coefficient is used to represent the pore pressure of the formation to be detected, the second pressure coefficient is used to represent the collapse pressure of the formation to be detected, and the third pressure coefficient is used to represent the fracture pressure of the formation to be detected; According to the first pressure coefficient and the second pressure coefficient, establish a first difference relationship model of the formation to be detected; According to the second pressure coefficient and the third pressure coefficient, establish a second difference relationship model of the formation to be detected; According to the first pressure coefficient and the first difference relationship model, determine the first value range of the second pressure coefficient; According to the third pressure coefficient and the second difference relationship model, determine the second value range of the second pressure coefficient; According to the first value range and the second value range, determine the target value range.

2. The method for determining formation collapse pressure according to claim 1, characterized in that, the formation pressure data includes first prediction data, second prediction data and third prediction data. According to the formation pressure data, determining the first pressure coefficient, the second pressure coefficient and the third pressure coefficient of the formation to be detected includes: Perform data processing on the first prediction data to determine the first pressure coefficient; Perform data processing on the second prediction data to determine the second pressure coefficient; Perform data processing on the third prediction data to determine the third pressure coefficient.

3. The method for determining formation collapse pressure according to claim 1, characterized in that, the establishing a first difference relationship model of the formation to be detected according to the first pressure coefficient and the second pressure coefficient includes: Obtain the first mean value and the first standard deviation between the first pressure coefficient and the second pressure coefficient; According to the first mean value and the first standard deviation, establish the first difference relationship model.

4. The method for determining formation collapse pressure according to claim 1, characterized in that, the establishing a second difference relationship model of the formation to be detected according to the second pressure coefficient and the third pressure coefficient includes: Obtain the second mean value and the second standard deviation between the second pressure coefficient and the third pressure coefficient; According to the second mean value and the second standard deviation, establish the second difference relationship model.

5. The method for determining formation collapse pressure according to claim 1, characterized in that, the determining the first value range of the second pressure coefficient according to the first pressure coefficient and the first difference relationship model includes: Obtain the first confidence level corresponding to the first difference relationship model; According to the first confidence level and the first pressure coefficient, determine the first value range.

6. The method for determining formation collapse pressure according to claim 1, It is characterized in that determining the second value range of the second pressure coefficient according to the third pressure coefficient and the second difference relationship model includes: obtaining the second confidence level corresponding to the second difference relationship model; determining the second value range according to the second confidence level and the third pressure coefficient.

7. The method for determining formation collapse pressure according to any one of claims 1 to 6, It is characterized in that determining the target value range according to the first value range and the second value range includes: determining the target value range by obtaining the intersection of the first value range and the second value range.

8. A device for determining formation collapse pressure, It is characterized in that the device for determining formation collapse pressure includes: a processing module, configured to obtain formation pressure data of a formation to be detected, where the formation pressure data is used to represent the pressure state of the formation to be detected; the processing module is further configured to determine a first pressure coefficient, a second pressure coefficient, and a third pressure coefficient of the formation to be detected according to the formation pressure data, where the first pressure coefficient is used to represent the pore pressure of the formation to be detected, the second pressure coefficient is used to represent the collapse pressure of the formation to be detected, and the third pressure coefficient is used to represent the fracture pressure of the formation to be detected; the processing module is further configured to establish a first difference relationship model of the formation to be detected according to the first pressure coefficient and the second pressure coefficient; the processing module is further configured to establish a second difference relationship model of the formation to be detected according to the second pressure coefficient and the third pressure coefficient; the processing module is further configured to determine a first value range of the second pressure coefficient according to the first pressure coefficient and the first difference relationship model; the processing module is further configured to determine a second value range of the second pressure coefficient according to the third pressure coefficient and the second difference relationship model; the processing module is further configured to determine a target value range according to the first value range and the second value range.

9. A device for determining formation collapse pressure, It is characterized in that including: a processor; a memory, where a program or instruction is stored in the memory, and when the processor executes the program or instruction in the memory, the steps of the method for determining formation collapse pressure according to any one of claims 1 to 7 are implemented.

10. A storage medium, It is characterized in that a computer program is stored thereon, and when the computer program is executed by a processor, the steps of the method for determining formation collapse pressure according to any one of claims 1 to 7 are implemented.

11. A program product, It is characterized in that including a computer program, and when the computer program is executed by a processor, the steps of the method for determining formation collapse pressure according to any one of claims 1 to 7 are implemented.

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