Integrated optimization method and system for exploratory well design and budget

Abstract

The invention relates to the technical field of drilling engineering, and provides an integrated optimization method and system for exploratory well design and budget. The method comprises the following steps: acquiring drilling design information and budget information of a target exploratory well; according to the well drilling design information and a preset drilling information comparison table, constructing a benchmark well model corresponding to the target exploratory well, and determining the optimal pure drilling duration and the optimal drilling tool related information of each stratum of the target exploratory well; according to each borehole size and each opening time of the drilling design information, calculating a duration prediction interval of other operations of the target exploratory well; based on the non-disposable consumable information of the budget information, calculating the non-disposable consumable predicted amount of the target exploratory well; and according to the optimal pure drilling duration, the prediction interval of other operation durations and the predicted amount of non-disposable consumables, the budget information is optimized, and the drilling design information is optimized based on the optimal drilling tool related information. On one hand, a more scientific, accurate and reasonable budget can be formed; and on the other hand, the drilling design can be optimized.

Description

Technical Field

[0001] The present disclosure relates to the technical field of drilling engineering, and in particular to an integrated optimization method and system for exploration well design and budget. Background Art

[0002] The quality of drilling design is very important for the successful cost budget management of drilling projects, because it contains the two keys to drilling profitable wells, namely: minimizing drilling operation problems and maximizing operation progress. Therefore, a correct and appropriate drilling design will lead to lower-cost drilling. An important step in the design process is the well construction cost budget, which is an indispensable component of economic drilling and the main tool for controlling expenditures. The cost budget ensures that sufficient funds have been approved for drilling without a shortage of funds, or avoids idle funds to achieve the best allocation of financial resources. On the contrary, the cost budget, as the most direct value response data of the drilling design, can directly present the optimization of different parts of the drilling design. By comparing with the cost budget of other wells in the block, it can feedback the parts of the design that need to be optimized.

[0003] One of the main challenges facing drilling engineering and management today is preventing cost and schedule overruns. The nature of drilling operations, including the diversity of different tasks from drilling design to completion, the increasing complexity of the technology used, the pressure of time, the increasingly stringent regulations on safety and environmental requirements, and the huge uncertainty of drilling operations themselves, have led to rising costs and difficulties in setting reasonable well designs and drilling budgets. Summary of the invention

[0004] In view of this, the embodiments of the present disclosure provide an integrated optimization method and system for exploratory well design and budget, in order to solve the problems in the prior art of the diversity involved in different operational tasks from drilling design to completion, the increasingly complex technologies used, the time pressure, the increasingly stringent supervision of safety and environmental requirements, and the huge uncertainty of drilling operations themselves, which lead to rising costs and difficulty in setting a reasonable exploratory well design and drilling budget.

[0005] A first aspect of an embodiment of the present disclosure provides an integrated optimization method for exploration well design and budget, comprising:

[0006] Obtain drilling design information and budget information for target exploration wells;

[0007] According to the drilling design information and the preset drilling information comparison table, a benchmark well model corresponding to the target exploration well is constructed, and the optimal pure drilling time and optimal drilling tool related information of each formation of the target exploration well are determined;

[0008] Calculate the predicted time interval of other operations with the target exploration well according to the wellbore dimensions and opening times of the drilling design information;

[0009] Based on the non-disposable consumables information of the budget information, calculating the predicted usage of the non-disposable consumables of the target exploration well;

[0010] The budget information is optimized according to the optimal pure drilling time, the predicted interval of other operation time and the predicted usage of non-disposable consumables, and the drilling design information is optimized based on the optimal drilling tool related information.

[0011] In some embodiments, the step of constructing a benchmark well model corresponding to the budget information includes:

[0012] According to each target stratum drilled by the target exploration well, the optimal drilling information corresponding to each target stratum is screened out from the drilling information comparison table, wherein the optimal drilling information includes the optimal pure drilling time, and the drilling information comparison table is periodically updated according to the continuously updated drilling data;

[0013] The benchmark well model is constructed based on the optimal drilling information.

[0014] In some embodiments, when constructing the benchmark well model, at least two adjacent strata are merged into one merged stratum, and optimal drilling information corresponding to the merged stratum is set.

[0015] In some embodiments, the step of determining the optimal drilling tool related information includes:

[0016] Determine the drilling operation-related information corresponding to the optimal drilling speed for each formation and each drilling, and ensure that the operation safety factor meets the preset requirements;

[0017] If not, select the best option among the remaining drilling operation related information;

[0018] If the information is satisfied, the corresponding drilling operation related information is determined as the optimal drilling tool related information.

[0019] In some embodiments, according to the wellbore sizes and drilling times of the drilling design information, calculating other operation duration prediction intervals corresponding to the target exploration well includes:

[0020] Acquire multiple historical drilling design information of structures similar to the target exploration well, wherein each historical drilling design information includes pure drilling time and other operation time, and the other operation time includes logging time, casing running time, and cementing time;

[0021] Divide the plurality of historical drilling design information into a plurality of grouped data according to the wellbore size and the length of the well section, and construct a plurality of probability distribution functions of different wellbore sizes under different well sections;

[0022] Performing N random draws based on the probability distribution function, respectively, and calculating the total operation time of the target exploration well after each draw, wherein N is a positive integer greater than 1;

[0023] According to the N total operation durations, the maximum and minimum values ​​are calculated to obtain the predicted intervals of the other operation durations.

[0024] In some embodiments, the integrated optimization method for exploration well design budget further includes:

[0025] According to the N total operation durations, the mathematical expectation value is calculated as a better value for predicting the durations of other operations.

[0026] In some embodiments, the non-disposable consumables information based on the budget information calculates the predicted usage of the non-disposable consumables of the target exploration well, including:

[0027] Dividing the non-disposable consumables information into reusable consumables information and repairable consumables information;

[0028] Calculate the predicted amount of the reused consumables according to a preset reuse rate calculation formula and the reused consumables information;

[0029] Calculate the predicted usage of the repairable consumables according to the preset residual value rate calculation formula and the repairable consumables information;

[0030] The predicted usage of the non-disposable consumables is calculated based on the predicted usage of the reusable consumables and the predicted usage of the repairable consumables.

[0031] In some embodiments, the reuse rate calculation formula includes:

[0032] Predicted consumption of reusable consumables = (consumption per 100 meters × (well depth / 100) + remaining reusable consumables information after drilling × (1-reusage rate of reusable consumables information)) / (well depth / 100).

[0033] In some embodiments, the residual value rate calculation formula includes:

[0034] Comprehensive life of repairable consumables = ∑ (effective use range of repairable consumables) ÷ number of repairable consumables;

[0035] The comprehensive residual value rate of repairable consumables = (unit price of repairable consumables + number of repairs × single repair cost) ÷ (number of repairs + 1) ÷ unit price of the repairable consumables;

[0036] Consumption of repairable consumables = 1 / comprehensive life of the repairable consumables;

[0037] Predicted usage of repairable consumables = ∑ (consumption of repairable consumables × corresponding comprehensive residual value rate).

[0038] A second aspect of the embodiments of the present disclosure provides an integrated optimization system for well exploration design and budget, including:

[0039] An acquisition module is used to acquire drilling design information and budget information of a target exploration well;

[0040] A construction module, used to construct a benchmark well model corresponding to the target exploration well according to the drilling design information and a preset drilling information comparison table, and determine the optimal pure drilling time and optimal drilling tool related information for each formation of the target exploration well;

[0041] A first calculation module is used to calculate the predicted interval of other operation durations with respect to the target exploration well according to the borehole dimensions and opening times of the drilling design information;

[0042] A second calculation module, configured to calculate the predicted usage of the non-disposable consumables of the target exploration well based on the non-disposable consumables information of the budget information;

[0043] The optimization module is used to optimize the budget information according to the optimal pure drilling time, other operation time prediction intervals and non-disposable consumables prediction usage, and optimize the drilling design information based on the optimal drilling tool related information.

[0044] In some embodiments, the step of constructing a benchmark well model corresponding to the budget information includes:

[0045] According to each target stratum drilled by the target exploration well, the optimal drilling information corresponding to each target stratum is screened out from the drilling information comparison table, wherein the optimal drilling information includes the optimal pure drilling time, and the drilling information comparison table is periodically updated according to the continuously updated drilling data;

[0046] The benchmark well model is constructed based on the optimal drilling information.

[0047] In some embodiments, when constructing the benchmark well model, at least two adjacent strata are merged into one merged stratum, and optimal drilling information corresponding to the merged stratum is set.

[0048] In some embodiments, the step of determining the optimal drilling tool related information includes:

[0049] Determine the drilling operation-related information corresponding to the optimal drilling speed for each formation and each drilling, and ensure that the operation safety factor meets the preset requirements;

[0050] If not, select the best option among the remaining drilling operation related information;

[0051] If the information is satisfied, the corresponding drilling operation related information is determined as the optimal drilling tool related information.

[0052] In some embodiments, according to the wellbore sizes and drilling times of the drilling design information, calculating other operation duration prediction intervals corresponding to the target exploration well includes:

[0053] Acquire multiple historical drilling design information of structures similar to the target exploration well, wherein each historical drilling design information includes pure drilling time and other operation time, and the other operation time includes logging time, casing running time, and cementing time;

[0054] Divide the plurality of historical drilling design information into a plurality of grouped data according to the wellbore size and the length of the well section, and construct a plurality of probability distribution functions of different wellbore sizes under different well sections;

[0055] Performing N random draws based on the probability distribution function, respectively, and calculating the total operation time of the target exploration well after each draw, wherein N is a positive integer greater than 1;

[0056] According to the N total operation durations, the maximum and minimum values ​​are calculated to obtain the predicted intervals of the other operation durations.

[0057] In some embodiments, the well exploration design budget integrated optimization system further includes:

[0058] The third calculation module is used to calculate the mathematical expectation value according to the N total operation durations as a better value for predicting other operation durations.

[0059] In some embodiments, the non-disposable consumables information based on the budget information calculates the predicted usage of the non-disposable consumables of the target exploration well, including:

[0060] Dividing the non-disposable consumables information into reusable consumables information and repairable consumables information;

[0061] Calculate the predicted amount of the reused consumables according to a preset reuse rate calculation formula and the reused consumables information;

[0062] Calculate the predicted usage of the repairable consumables according to the preset residual value rate calculation formula and the repairable consumables information;

[0063] The predicted usage of the non-disposable consumables is calculated based on the predicted usage of the reusable consumables and the predicted usage of the repairable consumables.

[0064] In some embodiments, the reuse rate calculation formula includes:

[0065] Predicted consumption of reusable consumables = (consumption per 100 meters × (well depth / 100) + remaining reusable consumables information after drilling × (1-reusage rate of reusable consumables information)) / (well depth / 100).

[0066] In some embodiments, the residual value rate calculation formula includes:

[0067] Comprehensive life of repairable consumables = ∑ (effective use range of repairable consumables) ÷ number of repairable consumables;

[0068] The comprehensive residual value rate of repairable consumables = (unit price of repairable consumables + number of repairs × single repair cost) ÷ (number of repairs + 1) ÷ unit price of the repairable consumables;

[0069] Consumption of repairable consumables = 1 / comprehensive life of the repairable consumables;

[0070] Predicted usage of repairable consumables = ∑ (consumption of repairable consumables × corresponding comprehensive residual value rate).

[0071] According to a third aspect of the embodiments of the present disclosure, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the steps implemented when the processor executes the computer program include:

[0072] Obtain drilling design information and budget information for target exploration wells;

[0073] According to the drilling design information and the preset drilling information comparison table, a benchmark well model corresponding to the target exploration well is constructed, and the optimal pure drilling time and optimal drilling tool related information of each formation of the target exploration well are determined;

[0074] Calculate the predicted time interval of other operations with the target exploration well according to the wellbore dimensions and opening times of the drilling design information;

[0075] Based on the non-disposable consumables information of the budget information, calculating the predicted usage of the non-disposable consumables of the target exploration well;

[0076] The budget information is optimized according to the optimal pure drilling time, the predicted interval of other operation time and the predicted usage of non-disposable consumables, and the drilling design information is optimized based on the optimal drilling tool related information.

[0077] In some embodiments, the step of constructing a benchmark well model corresponding to the budget information includes:

[0078] According to each target stratum drilled by the target exploration well, the optimal drilling information corresponding to each target stratum is screened out from the drilling information comparison table, wherein the optimal drilling information includes the optimal pure drilling time, and the drilling information comparison table is periodically updated according to the continuously updated drilling data;

[0079] The benchmark well model is constructed based on the optimal drilling information.

[0080] In some embodiments, when constructing the benchmark well model, at least two adjacent strata are merged into one merged stratum, and optimal drilling information corresponding to the merged stratum is set.

[0081] In some embodiments, the step of determining the optimal drilling tool related information includes:

[0082] Determine the drilling operation-related information corresponding to the optimal drilling speed for each formation and each drilling, and ensure that the operation safety factor meets the preset requirements;

[0083] If not, select the best option among the remaining drilling operation related information;

[0084] If the information is satisfied, the corresponding drilling operation related information is determined as the optimal drilling tool related information.

[0085] In some embodiments, according to the wellbore sizes and drilling times of the drilling design information, calculating other operation duration prediction intervals corresponding to the target exploration well includes:

[0086] Acquire multiple historical drilling design information of structures similar to the target exploration well, wherein each historical drilling design information includes pure drilling time and other operation time, and the other operation time includes logging time, casing running time, and cementing time;

[0087] Divide the plurality of historical drilling design information into a plurality of grouped data according to the wellbore size and the length of the well section, and construct a plurality of probability distribution functions of different wellbore sizes under different well sections;

[0088] Performing N random draws based on the probability distribution function, respectively, and calculating the total operation time of the target exploration well after each draw, wherein N is a positive integer greater than 1;

[0089] According to the N total operation durations, the maximum and minimum values ​​are calculated to obtain the predicted intervals of the other operation durations.

[0090] In some embodiments, the integrated optimization method for exploration well design budget further includes:

[0091] According to the N total operation durations, the mathematical expectation value is calculated as a better value for predicting the durations of other operations.

[0092] In some embodiments, the non-disposable consumables information based on the budget information calculates the predicted usage of the non-disposable consumables of the target exploration well, including:

[0093] Dividing the non-disposable consumables information into reusable consumables information and repairable consumables information;

[0094] Calculate the predicted amount of the reused consumables according to a preset reuse rate calculation formula and the reused consumables information;

[0095] Calculate the predicted usage of the repairable consumables according to the preset residual value rate calculation formula and the repairable consumables information;

[0096] The predicted usage of the non-disposable consumables is calculated based on the predicted usage of the reusable consumables and the predicted usage of the repairable consumables.

[0097] In some embodiments, the reuse rate calculation formula includes:

[0098] Predicted consumption of reusable consumables = (consumption per 100 meters × (well depth / 100) + remaining reusable consumables information after drilling × (1-reusage rate of reusable consumables information)) / (well depth / 100).

[0099] In some embodiments, the residual value rate calculation formula includes:

[0100] Comprehensive life of repairable consumables = ∑ (effective use range of repairable consumables) ÷ number of repairable consumables;

[0101] The comprehensive residual value rate of repairable consumables = (unit price of repairable consumables + number of repairs × single repair cost) ÷ (number of repairs + 1) ÷ unit price of the repairable consumables;

[0102] Consumption of repairable consumables = 1 / comprehensive life of the repairable consumables;

[0103] Predicted usage of repairable consumables = ∑ (consumption of repairable consumables × corresponding comprehensive residual value rate).

[0104] In a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and the steps implemented when the computer program is executed by a processor include:

[0105] Obtain drilling design information and budget information for target exploration wells;

[0106] According to the drilling design information and the preset drilling information comparison table, a benchmark well model corresponding to the target exploration well is constructed, and the optimal pure drilling time and optimal drilling tool related information of each formation of the target exploration well are determined;

[0107] Calculate the predicted time interval of other operations with the target exploration well according to the wellbore dimensions and opening times of the drilling design information;

[0108] Based on the non-disposable consumables information of the budget information, calculating the predicted usage of the non-disposable consumables of the target exploration well;

[0109] The budget information is optimized according to the optimal pure drilling time, the predicted interval of other operation time and the predicted usage of non-disposable consumables, and the drilling design information is optimized based on the optimal drilling tool related information.

[0110] In some embodiments, the step of constructing a benchmark well model corresponding to the budget information includes:

[0111] According to each target stratum drilled by the target exploration well, the optimal drilling information corresponding to each target stratum is screened out from the drilling information comparison table, wherein the optimal drilling information includes the optimal pure drilling time, and the drilling information comparison table is periodically updated according to the continuously updated drilling data;

[0112] The benchmark well model is constructed based on the optimal drilling information.

[0113] In some embodiments, when constructing the benchmark well model, at least two adjacent strata are merged into one merged stratum, and optimal drilling information corresponding to the merged stratum is set.

[0114] In some embodiments, the step of determining the optimal drilling tool related information includes:

[0115] Determine the drilling operation-related information corresponding to the optimal drilling speed for each formation and each drilling, and ensure that the operation safety factor meets the preset requirements;

[0116] If not, select the best option among the remaining drilling operation related information;

[0117] If the information is satisfied, the corresponding drilling operation related information is determined as the optimal drilling tool related information.

[0118] In some embodiments, according to the wellbore sizes and drilling times of the drilling design information, calculating other operation duration prediction intervals corresponding to the target exploration well includes:

[0119] Acquire multiple historical drilling design information of structures similar to the target exploration well, wherein each historical drilling design information includes pure drilling time and other operation time, and the other operation time includes logging time, casing running time, and cementing time;

[0120] Divide the plurality of historical drilling design information into a plurality of grouped data according to the wellbore size and the length of the well section, and construct a plurality of probability distribution functions of different wellbore sizes under different well sections;

[0121] Performing N random draws based on the probability distribution function, respectively, and calculating the total operation time of the target exploration well after each draw, wherein N is a positive integer greater than 1;

[0122] According to the N total operation durations, the maximum and minimum values ​​are calculated to obtain the predicted intervals of the other operation durations.

[0123] In some embodiments, the integrated optimization method for exploration well design budget further includes:

[0124] According to the N total operation durations, the mathematical expectation value is calculated as a better value for predicting the durations of other operations.

[0125] In some embodiments, the non-disposable consumables information based on the budget information calculates the predicted usage of the non-disposable consumables of the target exploration well, including:

[0126] Dividing the non-disposable consumables information into reusable consumables information and repairable consumables information;

[0127] Calculate the predicted amount of the reused consumables according to a preset reuse rate calculation formula and the reused consumables information;

[0128] Calculate the predicted usage of the repairable consumables according to the preset residual value rate calculation formula and the repairable consumables information;

[0129] The predicted usage of the non-disposable consumables is calculated based on the predicted usage of the reusable consumables and the predicted usage of the repairable consumables.

[0130] In some embodiments, the reuse rate calculation formula includes:

[0131] Predicted consumption of reusable consumables = (consumption per 100 meters × (well depth / 100) + remaining reusable consumables information after drilling × (1-reusage rate of reusable consumables information)) / (well depth / 100).

[0132] In some embodiments, the residual value rate calculation formula includes:

[0133] Comprehensive life of repairable consumables = ∑ (effective use range of repairable consumables) ÷ number of repairable consumables;

[0134] The comprehensive residual value rate of repairable consumables = (unit price of repairable consumables + number of repairs × single repair cost) ÷ (number of repairs + 1) ÷ unit price of the repairable consumables;

[0135] Consumption of repairable consumables = 1 / comprehensive life of the repairable consumables;

[0136] Predicted usage of repairable consumables = ∑ (consumption of repairable consumables × corresponding comprehensive residual value rate).

[0137] In a fifth aspect of the embodiments of the present disclosure, a computer program product is provided. The computer program product includes a computer program or an instruction. When the computer program or the instruction is executed by a processor, the steps implemented include:

[0138] Obtain drilling design information and budget information for target exploration wells;

[0139] According to the drilling design information and the preset drilling information comparison table, a benchmark well model corresponding to the target exploration well is constructed, and the optimal pure drilling time and optimal drilling tool related information of each formation of the target exploration well are determined;

[0140] Calculate the predicted time interval of other operations with the target exploration well according to the wellbore dimensions and opening times of the drilling design information;

[0141] Based on the non-disposable consumables information of the budget information, calculating the predicted usage of the non-disposable consumables of the target exploration well;

[0142] The budget information is optimized according to the optimal pure drilling time, the predicted interval of other operation time and the predicted usage of non-disposable consumables, and the drilling design information is optimized based on the optimal drilling tool related information.

[0143] In some embodiments, the step of constructing a benchmark well model corresponding to the budget information includes:

[0144] According to each target stratum drilled by the target exploration well, the optimal drilling information corresponding to each target stratum is screened out from the drilling information comparison table, wherein the optimal drilling information includes the optimal pure drilling time, and the drilling information comparison table is periodically updated according to the continuously updated drilling data;

[0145] The benchmark well model is constructed based on the optimal drilling information.

[0146] In some embodiments, when constructing the benchmark well model, at least two adjacent strata are merged into one merged stratum, and optimal drilling information corresponding to the merged stratum is set.

[0147] In some embodiments, the step of determining the optimal drilling tool related information includes:

[0148] Determine the drilling operation-related information corresponding to the optimal drilling speed for each formation and each drilling, and ensure that the operation safety factor meets the preset requirements;

[0149] If not, select the best option among the remaining drilling operation related information;

[0150] If the information is satisfied, the corresponding drilling operation related information is determined as the optimal drilling tool related information.

[0151] In some embodiments, according to the wellbore sizes and drilling times of the drilling design information, calculating other operation duration prediction intervals corresponding to the target exploration well includes:

[0152] Acquire multiple historical drilling design information of structures similar to the target exploration well, wherein each historical drilling design information includes pure drilling time and other operation time, and the other operation time includes logging time, casing running time, and cementing time;

[0153] Divide the plurality of historical drilling design information into a plurality of grouped data according to the wellbore size and the length of the well section, and construct a plurality of probability distribution functions of different wellbore sizes under different well sections;

[0154] Performing N random draws based on the probability distribution function, respectively, and calculating the total operation time of the target exploration well after each draw, wherein N is a positive integer greater than 1;

[0155] According to the N total operation durations, the maximum and minimum values ​​are calculated to obtain the predicted intervals of the other operation durations.

[0156] In some embodiments, the integrated optimization method for exploration well design budget further includes:

[0157] According to the N total operation durations, the mathematical expectation value is calculated as a better value for predicting the durations of other operations.

[0158] In some embodiments, the non-disposable consumables information based on the budget information calculates the predicted usage of the non-disposable consumables of the target exploration well, including:

[0159] Dividing the non-disposable consumables information into reusable consumables information and repairable consumables information;

[0160] Calculate the predicted amount of the reused consumables according to a preset reuse rate calculation formula and the reused consumables information;

[0161] Calculate the predicted usage of the repairable consumables according to the preset residual value rate calculation formula and the repairable consumables information;

[0162] The predicted usage of the non-disposable consumables is calculated based on the predicted usage of the reusable consumables and the predicted usage of the repairable consumables.

[0163] In some embodiments, the reuse rate calculation formula includes:

[0164] Predicted consumption of reusable consumables = (consumption per 100 meters × (well depth / 100) + remaining reusable consumables information after drilling × (1-reusage rate of reusable consumables information)) / (well depth / 100).

[0165] In some embodiments, the residual value rate calculation formula includes:

[0166] Comprehensive life of repairable consumables = ∑ (effective use range of repairable consumables) ÷ number of repairable consumables;

[0167] The comprehensive residual value rate of repairable consumables = (unit price of repairable consumables + number of repairs × single repair cost) ÷ (number of repairs + 1) ÷ unit price of the repairable consumables;

[0168] Consumption of repairable consumables = 1 / comprehensive life of the repairable consumables;

[0169] Predicted usage of repairable consumables = ∑ (consumption of repairable consumables × corresponding comprehensive residual value rate).

[0170] On the one hand, the embodiments of the present disclosure can adapt to the continuous improvement of drilling technology and drilling efficiency and form a more scientific, accurate and reasonable budget; on the other hand, based on the feasibility of previous drilling design technologies, it can provide real-time feedback to guide drilling designers to discover potential optimization points in drilling design, optimize the drilling design, and effectively guide the implementation of high-quality and efficient drilling on site. BRIEF DESCRIPTION OF THE DRAWINGS

[0171] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only for the embodiments, and ordinary technicians in this field can obtain other drawings based on these drawings without paying any creative work.

[0172] Figure 1 It is a schematic diagram of an application scenario of the integrated optimization method for exploration well design and budget provided in an embodiment of the present disclosure;

[0173] Figure 2 It is a flowchart of some embodiments of an integrated optimization method for exploration well design and budget provided according to an embodiment of the present disclosure;

[0174] Figure 3 is a flow chart of other embodiments of another well exploration design budget integrated optimization method provided according to an embodiment of the present disclosure;

[0175] Figure 4 It is a simplified structural schematic diagram of an integrated optimization system for well exploration design and budget provided according to an embodiment of the present disclosure;

[0176] Figure 5 is a schematic diagram of an electronic device provided according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0177] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0178] It should also be noted that, for ease of description, only the parts related to the present disclosure are shown in the drawings. In the absence of conflict, the embodiments and features in the embodiments of the present disclosure can be combined with each other.

[0179] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different systems, devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these systems, devices, modules or units.

[0180] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0181] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0182] The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0183] Embodiment 1:

[0184] Figure 1 It is a schematic diagram of an application scenario of the integrated optimization method for exploration well design budget according to the first embodiment of the present disclosure.

[0185] exist Figure 1 In the application scenario, first, the computing device 101 may obtain the drilling design information 102 and the budget information 103 of the target exploration well.

[0186] Secondly, the computing device 101 can construct a benchmark well model 105 corresponding to the target exploration well according to the drilling design information 102 and the preset drilling information comparison table 104, and determine the optimal pure drilling time 106 and optimal drilling tool related information 107 for each formation of the target exploration well.

[0187] Thirdly, the computing device 101 may calculate the predicted time interval 108 of other operations related to the target exploration well according to the borehole sizes and opening times of the drilling design information 102 .

[0188] Next, the computing device 101 may calculate the predicted usage 109 of the non-disposable consumables of the target exploration well based on the non-disposable consumables information of the budget information 103 .

[0189] Finally, the computing device 101 can optimize the budget information 103 according to the optimal pure drilling time 106, other operation time prediction intervals 108 and non-disposable consumables predicted usage 109, and optimize the drilling design information 102 based on the optimal drilling tool related information 107.

[0190] It should be noted that the computing device 101 can be hardware or software. When the computing device is hardware, it can be implemented as a distributed cluster consisting of multiple servers or terminal devices, or as a single server or a single terminal device. When the computing device is embodied as software, it can be installed in the hardware devices listed above. It can be implemented as multiple software or software modules for providing distributed services, or as a single software or software module. No specific limitation is made here.

[0191] It should be understood that Figure 1 The number of computing devices in the embodiment is only illustrative. Any number of computing devices may be provided according to implementation requirements.

[0192] Embodiment 2:

[0193] Continue to refer Figure 2 , shows a process 200 of the second embodiment of the integrated optimization method for exploration well design budget according to the present disclosure. The method can be Figure 1 The method for integrated optimization of exploration well design budget comprises the following steps:

[0194] Step 201, obtaining drilling design information and budget information of a target exploratory well.

[0195] In some embodiments, the execution subject of the integrated optimization method for exploration well design and budget (such as Figure 1The computing device 101 shown can be connected to the target device via a wired connection or a wireless connection, and then obtain the drilling design information and budget information of the target exploration well. The drilling design information can refer to various relevant data related to the drilling of the target exploration well, such as the borehole size of the drilling, the relevant exploration coefficients of each opening, the operation parameters, the operation category, the operation time, the model of the tools / materials used, the quantity of the tools / materials used, the formation layer, etc. The budget information can refer to the relevant information on the budget related to the various processes, consumables, labor, etc. related to the exploration well operation.

[0196] It should be noted that the above-mentioned wireless connection methods may include but are not limited to 3G / 4G / 5G connection, WiFi connection, Bluetooth connection, WiMAX connection, Zigbee connection, UWB (ultra wideband) connection, and other wireless connection methods currently known or developed in the future.

[0197] Step 202, constructing a benchmark well model corresponding to the target exploration well according to the drilling design information and a preset drilling information comparison table, and determining the optimal pure drilling time and optimal drilling tool related information for each formation of the target exploration well.

[0198] In some embodiments, the above-mentioned execution entity may construct a benchmark well model corresponding to the target exploration well according to the drilling design information and the preset drilling information comparison table. After determining the benchmark well model, the optimal pure drilling time for each formation of the target exploration well is then determined. The drilling information comparison table may refer to various detailed data generated based on the historical data of the drilled well. As an example, the historical data may include but is not limited to logging data, drilling tool assembly data, drilling fluid data (type and formula), drill bit usage records, formation stratification, etc. The benchmark well model may refer to a model that is similar to the target exploration well type and is composed of the optimal design scheme for each formation and each opening based on the drilling information comparison table.

[0199] In some optional implementations, the step of constructing a benchmark well model corresponding to the budget information includes: according to each target stratum drilled by the target exploration well, selecting the optimal drilling information corresponding to each target stratum from the drilling information comparison table, wherein the optimal drilling information includes the optimal pure drilling time, and the drilling information comparison table is periodically updated according to the continuously updated drilling data; and constructing the benchmark well model based on the optimal drilling information. The optimal pure drilling time may refer to the pure drilling time with the shortest drilling time.

[0200] Since the amount of data generated by drilling data is relatively large, in order to save the amount of calculation without affecting the calculation effect, it is possible to choose to merge several adjacent strata into a set of strata. Therefore, in some examples, when constructing the benchmark well model, at least two adjacent strata can be merged into a merged stratum, and the optimal drilling information corresponding to the merged stratum can be set.

[0201] In addition to determining the optimal pure drilling time, it is also necessary to determine the optimal drilling tool related information. Since different drilling tools have different working efficiency and different safety factors in different formations, it is also necessary to determine the optimal operating coefficients of different tools in different formations and openings. Therefore, when determining the optimal drilling tool related information for each formation, the optimal drilling tool related information can be determined through the following steps: The first step is to determine the drill bit information, speed-up tool information, drilling tool assembly information, drilling parameters and safety factors corresponding to the optimal drilling speed (maximum drilling speed) corresponding to each formation and each opening (hereinafter referred to as drilling operation related information), and determine that its operation safety factor meets the preset requirements (for example, the safety factor is not less than 95). The second step is, if it is not satisfied, select the best option among the remaining drilling operation related information. The third step is, if it is satisfied, the corresponding drilling operation related information is determined as the optimal drilling tool related information.

[0202] It should be pointed out that setting up a benchmark well model can also facilitate users to view relevant information of the target exploration well, which is convenient for work guidance.

[0203] Step 203, calculating the predicted time interval of other operations related to the target exploration well according to the wellbore dimensions and opening times of the drilling design information.

[0204] In some embodiments, the execution subject can calculate the predicted interval of other operation durations of the target exploration well according to each borehole size and each opening of the drilling design information based on the following steps: obtain multiple historical drilling design information with similar structures to the target exploration well, wherein each historical drilling design information includes pure drilling time and other operation durations, and the other operation durations include logging time, casing running time, and cementing time; divide the multiple historical drilling design information into multiple grouped data according to the borehole size and the opening section length, and construct multiple probability distribution functions of different borehole sizes under different opening sections; perform N random draws based on the probability distribution function, and calculate the total operation duration of the target exploration well after each draw, wherein N is a positive integer greater than 1; calculate the maximum and minimum values ​​of the N total operation durations to obtain the predicted interval of other operation durations. Other operation durations may refer to the duration of each operation except the pure drilling duration.

[0205] In addition, the mathematical expectation value of the N total operation durations can be calculated as a better value for predicting other operation durations as a guide for demonstration.

[0206] Step 204: Calculate the predicted usage of non-disposable consumables for the target exploration well based on the non-disposable consumables information in the budget information.

[0207] In some embodiments, the execution subject may calculate the predicted usage of the non-disposable consumables of the target exploration well based on the non-disposable consumables information of the budget information according to the following steps:

[0208] The first step is to divide the non-disposable consumables information into information about reusable consumables and information about repairable consumables. Reusable consumables information may refer to relevant information about consumables that can be partially reused, such as quantity, lifespan, etc. Taking drilling fluid as an example, as environmental pressure increases, drilling fluid is forced to be reused. Therefore, the consumption of drilling fluid needs to be optimized in combination with actual consumption data and reuse rate. For example, statistics are kept for the same drill bit size to determine the consumption of open hole drilling mud. The consumption can be comprehensive consumption, or it can be divided into sub-items such as wellbore loss, cuttings loss, cementing loss, and mud tank cleaning loss. The consumption per 100 meters of mud of a certain wellbore size considering the actual operation process is calculated. There are two ways to reuse drilling fluid: one is to reuse it in the well factory operation, directly using the drilling fluid in the adjacent well after drilling; the other is to recycle it to the mud station after the drilling of a single well is completed, and the performance is maintained until the next well is reused. Repairable consumables information may refer to relevant information about consumables that can be repaired and reused after damage. Taking drill bits as an example, worn drill bits can be repaired by manufacturers using technology and reused, greatly improving the utilization rate of drill bits.

[0209] The second step is to calculate the predicted amount of the reusable consumables according to a preset reusability calculation formula and the reusable consumables information.

[0210] In some optional implementations, the reuse rate calculation formula includes:

[0211] Predicted consumption of reusable consumables = (consumption per 100 meters × (well depth / 100) + remaining reusable consumables information after drilling × (1-reusage rate of reusable consumables information)) / (well depth / 100).

[0212] The third step is to calculate the predicted usage of the repairable consumables according to the preset residual value rate calculation formula and the repairable consumables information.

[0213] In some optional implementations, the residual value rate calculation formula includes:

[0214] The comprehensive life of repairable consumables = ∑ (effective use range of repairable consumables) ÷ the number of repairable consumables.

[0215] The comprehensive residual value rate of repairable consumables = (unit price of repairable consumables + number of repairs × single repair cost) ÷ (number of repairs + 1) ÷ unit price of the repairable consumables.

[0216] Consumption of repairable consumables = 1 / comprehensive life of the repairable consumables.

[0217] Predicted usage of repairable consumables = ∑ (consumption of repairable consumables × corresponding comprehensive residual value rate).

[0218] The fourth step is to calculate the predicted usage of the non-disposable consumables based on the predicted usage of the reusable consumables and the predicted usage of the repairable consumables.

[0219] Step 205, optimizing the budget information according to the optimal pure drilling time, other operation time prediction intervals and predicted usage of non-disposable consumables, and optimizing the drilling design information based on the optimal drilling tool related information.

[0220] In some embodiments, the execution subject may calculate the overall optimal budget based on the optimal pure drilling time, other operation time prediction intervals, and non-disposable consumables predicted usage, and then compare the budget information based on the overall optimal budget. If the budget information is greater than the optimal budget, the optimization is performed based on the data of the optimal pure drilling time, other operation time prediction intervals, and non-disposable consumables predicted usage. At the same time, the drilling design information is optimized based on the data of the optimal drilling tool related information.

[0221] On the one hand, the embodiments of the present disclosure can adapt to the continuous improvement of drilling technology and drilling efficiency and form a more scientific, accurate and reasonable budget; on the other hand, based on the feasibility of previous drilling design technologies, it can provide real-time feedback to guide drilling designers to discover potential optimization points in drilling design, optimize the drilling design, and effectively guide the implementation of high-quality and efficient drilling on site.

[0222] Embodiment three:

[0223] Continue to refer Figure 3 , shows a process 300 of the third embodiment of the integrated optimization method for exploration well design budget according to the present disclosure, which can be Figure 1 The integrated optimization method for well design budget includes:

[0224] Step 301, obtaining drilling design information and budget information of a target exploration well.

[0225] Step 302, based on the drilling design information and the preset drilling information comparison table, construct a benchmark well model corresponding to the target exploration well, and determine the optimal pure drilling time and optimal drilling tool related information for each formation of the target exploration well, wherein the step of constructing a benchmark well model corresponding to the budget information includes steps 303 to 305.

[0226] Step 303, according to each target stratum drilled in the target exploration well, select the optimal drilling information corresponding to each target stratum from the drilling information comparison table, wherein the optimal drilling information includes the optimal pure drilling time and the optimal drilling tool related information, and the drilling information comparison table is periodically updated according to the continuously updated drilling data.

[0227] Step 304: merge at least two adjacent strata into a merged stratum, and set optimal drilling information corresponding to the merged stratum.

[0228] Step 305, constructing a benchmark well model based on the optimal drilling information, wherein the step of determining the optimal drilling tool related information includes steps 306 to 307.

[0229] Step 306, determine the drilling operation related information corresponding to the optimal drilling speed for each formation and each drilling, and determine whether the operation safety factor meets the preset requirements.

[0230] Step 307: If not, select the best option among the remaining drilling operation related information. If satisfied, determine the corresponding drilling operation related information as the best drilling tool related information.

[0231] Step 308, calculating the predicted time interval of other operations related to the target exploration well according to the wellbore dimensions and opening times of the drilling design information.

[0232] Step 309: Calculate the predicted usage of non-disposable consumables for the target exploration well based on the non-disposable consumables information in the budget information.

[0233] Step 310, optimizing the budget information according to the optimal pure drilling time, other operation time prediction intervals and predicted usage of non-disposable consumables, and optimizing the drilling design information based on the optimal drilling tool related information.

[0234] In some embodiments, the specific implementation of steps 301-310 and the technical effects brought about can be referred to Figure 2 The corresponding steps in the second embodiment will not be described again.

[0235] All the above optional technical solutions can be combined in any way to form optional implementation methods of the present application, and will not be described in detail here.

[0236] Embodiment 4:

[0237] The following are system embodiments of the present disclosure, which can be used to execute the method embodiments of the present disclosure. For details not disclosed in the system embodiments of the present disclosure, please refer to the method embodiments of the present disclosure.

[0238] Further references Figure 4 As an implementation of the above methods in the above figures, the present disclosure provides an embodiment of an integrated optimization system for exploration well design and budget. Figure 2 The above-mentioned embodiment 2 corresponds.

[0239] An acquisition module 401 is used to acquire drilling design information and budget information of a target exploration well;

[0240] A construction module 402 is used to construct a benchmark well model corresponding to the target exploration well according to the drilling design information and a preset drilling information comparison table, and determine the optimal pure drilling time and optimal drilling tool related information for each formation of the target exploration well;

[0241] The first calculation module 403 is used to calculate the predicted interval of other operation durations with respect to the target exploration well according to the wellbore dimensions and opening times of the drilling design information;

[0242] A second calculation module 404 is used to calculate the predicted usage of the non-disposable consumables of the target exploration well based on the non-disposable consumables information of the budget information;

[0243] The optimization module 405 is used to optimize the budget information according to the optimal pure drilling time, other operation time prediction intervals and non-disposable consumables prediction usage, and optimize the drilling design information based on the optimal drilling tool related information.

[0244] In some optional implementations of some embodiments, the step of constructing a benchmark well model corresponding to the budget information includes:

[0245] According to each target stratum drilled by the target exploration well, the optimal drilling information corresponding to each target stratum is screened out from the drilling information comparison table, wherein the optimal drilling information includes the optimal pure drilling time, and the drilling information comparison table is periodically updated according to the continuously updated drilling data;

[0246] The benchmark well model is constructed based on the optimal drilling information.

[0247] In some optional implementations of some embodiments, when constructing the benchmark well model, at least two adjacent strata are merged into one merged stratum, and optimal drilling information corresponding to the merged stratum is set.

[0248] In some optional implementations of some embodiments, the step of determining the optimal drilling tool related information includes:

[0249] Determine the drilling operation-related information corresponding to the optimal drilling speed for each formation and each drilling, and ensure that the operation safety factor meets the preset requirements;

[0250] If not, select the best option among the remaining drilling operation related information;

[0251] If the information is satisfied, the corresponding drilling operation related information is determined as the optimal drilling tool related information.

[0252] In some optional implementations of some embodiments, calculating other operation duration prediction intervals corresponding to the target exploration well according to each wellbore size and each opening number of the drilling design information includes:

[0253] Acquire multiple historical drilling design information of structures similar to the target exploration well, wherein each historical drilling design information includes pure drilling time and other operation time, and the other operation time includes logging time, casing running time, and cementing time;

[0254] Divide the plurality of historical drilling design information into a plurality of grouped data according to the wellbore size and the length of the well section, and construct a plurality of probability distribution functions of different wellbore sizes under different well sections;

[0255] Performing N random draws based on the probability distribution function, respectively, and calculating the total operation time of the target exploration well after each draw, wherein N is a positive integer greater than 1;

[0256] According to the N total operation durations, the maximum and minimum values ​​are calculated to obtain the predicted intervals of the other operation durations.

[0257] In some optional implementations of some embodiments, the well exploration design budget integrated optimization system further includes:

[0258] The third calculation module is used to calculate the mathematical expectation value according to the N total operation durations as a better value for predicting other operation durations.

[0259] In some optional implementations of some embodiments, the non-disposable consumables information based on the budget information calculates the predicted usage of the non-disposable consumables of the target exploration well, including:

[0260] Dividing the non-disposable consumables information into reusable consumables information and repairable consumables information;

[0261] Calculate the predicted amount of the reused consumables according to a preset reuse rate calculation formula and the reused consumables information;

[0262] Calculate the predicted usage of the repairable consumables according to the preset residual value rate calculation formula and the repairable consumables information;

[0263] The predicted usage of the non-disposable consumables is calculated based on the predicted usage of the reusable consumables and the predicted usage of the repairable consumables.

[0264] In some optional implementations of some embodiments, the reuse rate calculation formula includes:

[0265] Predicted consumption of reusable consumables = (consumption per 100 meters × (well depth / 100) + remaining reusable consumables information after drilling × (1-reusage rate of reusable consumables information)) / (well depth / 100).

[0266] In some optional implementations of some embodiments, the residual value rate calculation formula includes:

[0267] Comprehensive life of repairable consumables = ∑ (effective use range of repairable consumables) ÷ number of repairable consumables;

[0268] The comprehensive residual value rate of repairable consumables = (unit price of repairable consumables + number of repairs × single repair cost) ÷ (number of repairs + 1) ÷ unit price of the repairable consumables;

[0269] Consumption of repairable consumables = 1 / comprehensive life of the repairable consumables;

[0270] Predicted usage of repairable consumables = ∑ (consumption of repairable consumables × corresponding comprehensive residual value rate).

[0271] It is understood that the modules described in the system 400 are similar to those described in the reference Figure 2 Therefore, the operations, features and beneficial effects described above for the method are also applicable to the system 400 and the modules included therein, and will not be described in detail here.

[0272] Embodiment five:

[0273] like Figure 5 As shown, the electronic device 500 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 501, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 502 or a program loaded from a storage device 508 into a random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the electronic device 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0274] Typically, the following devices may be connected to the I / O interface 505: an input device 506 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 507 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 508 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 509. The communication device 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 5 The electronic device 500 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 5 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0275] In particular, according to this embodiment, the process described above with reference to the flowchart can be implemented as a computer software program. For example, this embodiment includes a computer program product, which includes a computer program or instructions carried on a computer-readable medium, and the computer program or instructions contain program codes for executing the method shown in the flowchart. In this embodiment, the computer program can be downloaded and installed from the network through the communication device 509, or installed from the storage device 508, or installed from the ROM 502. When the computer program is executed by the processing device 501, the following steps can be performed:

[0276] Obtain drilling design information and budget information for target exploration wells;

[0277] According to the drilling design information and the preset drilling information comparison table, a benchmark well model corresponding to the target exploration well is constructed, and the optimal pure drilling time and optimal drilling tool related information of each formation of the target exploration well are determined;

[0278] Calculate the predicted time interval of other operations with the target exploration well according to the wellbore dimensions and opening times of the drilling design information;

[0279] Based on the non-disposable consumables information of the budget information, calculating the predicted usage of the non-disposable consumables of the target exploration well;

[0280] The budget information is optimized according to the optimal pure drilling time, the predicted interval of other operation time and the predicted usage of non-disposable consumables, and the drilling design information is optimized based on the optimal drilling tool related information.

[0281] In some embodiments, the step of constructing a benchmark well model corresponding to the budget information includes:

[0282] According to each target stratum drilled by the target exploration well, the optimal drilling information corresponding to each target stratum is screened out from the drilling information comparison table, wherein the optimal drilling information includes the optimal pure drilling time, and the drilling information comparison table is periodically updated according to the continuously updated drilling data;

[0283] The benchmark well model is constructed based on the optimal drilling information.

[0284] In some embodiments, when constructing the benchmark well model, at least two adjacent strata are merged into one merged stratum, and optimal drilling information corresponding to the merged stratum is set.

[0285] In some embodiments, the step of determining the optimal drilling tool related information includes:

[0286] Determine the drilling operation-related information corresponding to the optimal drilling speed for each formation and each drilling, and ensure that the operation safety factor meets the preset requirements;

[0287] If not, select the best option among the remaining drilling operation related information;

[0288] If the information is satisfied, the corresponding drilling operation related information is determined as the optimal drilling tool related information.

[0289] In some embodiments, according to the wellbore sizes and drilling times of the drilling design information, calculating other operation duration prediction intervals corresponding to the target exploration well includes:

[0290] Acquire multiple historical drilling design information of structures similar to the target exploration well, wherein each historical drilling design information includes pure drilling time and other operation time, and the other operation time includes logging time, casing running time, and cementing time;

[0291] Divide the plurality of historical drilling design information into a plurality of grouped data according to the wellbore size and the length of the well section, and construct a plurality of probability distribution functions of different wellbore sizes under different well sections;

[0292] Performing N random draws based on the probability distribution function, respectively, and calculating the total operation time of the target exploration well after each draw, wherein N is a positive integer greater than 1;

[0293] According to the N total operation durations, the maximum and minimum values ​​are calculated to obtain the predicted intervals of the other operation durations.

[0294] In some embodiments, the integrated optimization method for exploration well design budget further includes:

[0295] According to the N total operation durations, the mathematical expectation value is calculated as a better value for predicting the durations of other operations.

[0296] In some embodiments, the non-disposable consumables information based on the budget information calculates the predicted usage of the non-disposable consumables of the target exploration well, including:

[0297] Dividing the non-disposable consumables information into reusable consumables information and repairable consumables information;

[0298] Calculate the predicted amount of the reused consumables according to a preset reuse rate calculation formula and the reused consumables information;

[0299] Calculate the predicted usage of the repairable consumables according to the preset residual value rate calculation formula and the repairable consumables information;

[0300] The predicted usage of the non-disposable consumables is calculated based on the predicted usage of the reusable consumables and the predicted usage of the repairable consumables.

[0301] In some embodiments, the reuse rate calculation formula includes:

[0302] Predicted consumption of reusable consumables = (consumption per 100 meters × (well depth / 100) + remaining reusable consumables information after drilling × (1-reusage rate of reusable consumables information)) / (well depth / 100).

[0303] In some embodiments, the residual value rate calculation formula includes:

[0304] Comprehensive life of repairable consumables = ∑ (effective use range of repairable consumables) ÷ number of repairable consumables;

[0305] The comprehensive residual value rate of repairable consumables = (unit price of repairable consumables + number of repairs × single repair cost) ÷ (number of repairs + 1) ÷ unit price of the repairable consumables;

[0306] Consumption of repairable consumables = 1 / comprehensive life of the repairable consumables;

[0307] Predicted usage of repairable consumables = ∑ (consumption of repairable consumables × corresponding comprehensive residual value rate).

[0308] It should be noted that the computer-readable medium in the present embodiment may be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device. In the present embodiment, the computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0309] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0310] The computer-readable medium may be included in the device; or it may exist independently and not be assembled into the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device performs the following steps: obtaining the drilling design information and budget information of the target exploration well; constructing a benchmark well model corresponding to the target exploration well according to the drilling design information and the preset drilling information comparison table, and determining the optimal pure drilling time and optimal drilling tool related information of each formation of the target exploration well; calculating the predicted interval of other operation time with the target exploration well according to each wellbore size and each opening number of the drilling design information; calculating the predicted non-disposable consumable usage of the target exploration well based on the non-disposable consumable information of the budget information; optimizing the budget information according to the optimal pure drilling time, other operation time prediction interval and non-disposable consumable predicted usage, and optimizing the drilling design information based on the optimal drilling tool related information.

[0311] The computer program code for performing the operation of the present embodiment can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., using an Internet service provider to connect through the Internet).

[0312] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0313] The modules described in this embodiment may be implemented by software or hardware. The modules described may also be set in a processor, for example, may be described as:

[0314] Acquisition module, construction module, first calculation module, second calculation module and optimization module. For example, the acquisition module can also be described as a "module for acquiring drilling design information and budget information of a target exploration well".

[0315] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0316] The above descriptions are only some preferred embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalent features without departing from the above-mentioned inventive concept. For example, the above-mentioned features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to) and the technical solutions formed.

Claims

1. A well design budget integrated optimization method, characterized in that: include: Obtain drilling design information and budget information for target exploration wells; According to the drilling design information and the preset drilling information comparison table, a benchmark well model corresponding to the target exploration well is constructed, and the optimal pure drilling time and optimal drilling tool related information of each formation of the target exploration well are determined; Calculate the predicted time interval of other operations with the target exploration well according to the wellbore dimensions and opening times of the drilling design information; Based on the non-disposable consumables information of the budget information, calculating the predicted usage of the non-disposable consumables of the target exploration well; The budget information is optimized according to the optimal pure drilling time, the predicted interval of other operation time and the predicted usage of non-disposable consumables, and the drilling design information is optimized based on the optimal drilling tool related information.

2. The method according to claim 1, characterized in that The steps of constructing a benchmark well model corresponding to the budget information include: According to each target stratum drilled by the target exploration well, the optimal drilling information corresponding to each target stratum is screened out from the drilling information comparison table, wherein the optimal drilling information includes the optimal pure drilling time and the optimal drilling tool related information, and the drilling information comparison table is periodically updated according to the continuously updated drilling data; The benchmark well model is constructed based on the optimal drilling information.

3. The method according to claim 2, characterized in that When constructing the benchmark well model, at least two adjacent strata are merged into one merged stratum, and optimal drilling information corresponding to the merged stratum is set.

4. The method according to claim 2, characterized in that: The steps to determine the optimal drilling tool related information include: Determine the drilling operation-related information corresponding to the optimal drilling speed for each formation and each drilling, and ensure that the operation safety factor meets the preset requirements; If not, select the best option among the remaining drilling operation related information; If the information is satisfied, the corresponding drilling operation related information is determined as the optimal drilling tool related information.

5. The method according to claim 1, characterized in that: According to the wellbore dimensions and drilling times of the drilling design information, other operation duration prediction intervals corresponding to the target exploration well are calculated, including: Acquire multiple historical drilling design information of structures similar to the target exploration well, wherein each historical drilling design information includes pure drilling time and other operation time, and the other operation time includes logging time, casing running time, and cementing time; Divide the plurality of historical drilling design information into a plurality of grouped data according to the wellbore size and the length of the well section, and construct a plurality of probability distribution functions of different wellbore sizes under different well sections; Performing N random draws based on the probability distribution function, respectively, and calculating the total operation time of the target exploration well after each draw, wherein N is a positive integer greater than 1; According to the N total operation durations, the maximum and minimum values ​​are calculated to obtain the predicted intervals of the other operation durations.

6. The method according to claim 5, characterized in that The method further comprises: According to the N total operation durations, the mathematical expectation value is calculated as a better value for predicting the durations of other operations.

7. The method according to claim 1, characterized in that The non-disposable consumables information based on the budget information calculates the predicted usage of the non-disposable consumables of the target exploration well, including: Dividing the non-disposable consumables information into reusable consumables information and repairable consumables information; Calculate the predicted amount of the reused consumables according to a preset reuse rate calculation formula and the reused consumables information; Calculate the predicted usage of the repairable consumables according to the preset residual value rate calculation formula and the repairable consumables information; The predicted usage of the non-disposable consumables is calculated based on the predicted usage of the reusable consumables and the predicted usage of the repairable consumables.

8. The method according to claim 7, characterized in that The reusability calculation formula includes: Predicted consumption of reusable consumables = (consumption per 100 meters × (well depth / 100) + remaining reusable consumables information after drilling × (1-reusage rate of reusable consumables information)) / (well depth / 100).

9. The method according to claim 1, characterized in that: The residual value rate calculation formula includes: Comprehensive life of repairable consumables = ∑ (effective use range of repairable consumables) ÷ number of repairable consumables; The comprehensive residual value rate of repairable consumables = (unit price of repairable consumables + number of repairs × single repair cost) ÷ (number of repairs + 1) ÷ unit price of the repairable consumables; Consumption of repairable consumables = 1 / comprehensive life of the repairable consumables; Predicted usage of repairable consumables = ∑ (consumption of repairable consumables × corresponding comprehensive residual value rate).

10. An integrated optimization system for exploration well design and budget, characterized in that: include: An acquisition module is used to acquire drilling design information and budget information of a target exploration well; A construction module, used to construct a benchmark well model corresponding to the target exploration well according to the drilling design information and a preset drilling information comparison table, and determine the optimal pure drilling time and optimal drilling tool related information for each formation of the target exploration well; A first calculation module is used to calculate the predicted interval of other operation durations with respect to the target exploration well according to the borehole dimensions and opening times of the drilling design information; A second calculation module, configured to calculate the predicted usage of the non-disposable consumables of the target exploration well based on the non-disposable consumables information of the budget information; The optimization module is used to optimize the budget information according to the optimal pure drilling time, other operation time prediction intervals and non-disposable consumables prediction usage, and optimize the drilling design information based on the optimal drilling tool related information.

11. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 9 are implemented.

12. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 9 are implemented.

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