A shale gas field production plan accurate production scheduling method
By acquiring basic gas well data and calculating production decline rates, a gas well production profile was established. Taking into account influencing factors, the problem of difficult production scheduling in shale gas field production planning was solved, and accurate production forecasting and management were achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA NAT PETROLEUM CORP
- Filing Date
- 2024-12-23
- Publication Date
- 2026-06-23
AI Technical Summary
Shale gas fields have diverse production methods, numerous wells, and complex well conditions, making production planning and scheduling difficult. Existing technologies lack accurate judgment and cannot predict production output based on the declining trend of the current production stage of the gas wells, resulting in poor scheduling accuracy.
By acquiring basic data such as gas well static parameters, benchmark production, and expected production date, the production decline rate of shale gas fields is calculated, gas well production profiles are established, and factors such as pressure channeling and maintenance are considered to reduce the impact on production and increase the production, thereby determining the final production profile of a single well and achieving accurate production prediction.
It achieves accurate prediction of future production, with high prediction accuracy, comprehensive consideration of factors, and flexible and simple calculation, meeting the needs of oil and gas field production management.
Smart Images
Figure CN122264322A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of oil and gas field production operation management technology, and more specifically, to a method for precise production scheduling in shale gas fields. Background Technology
[0002] Developing production operation plans is an important task in oil and gas field production operation management. A reasonable and reliable production operation plan can improve the overall operating efficiency of the oil and gas field, facilitate efficient production organization, and thus ensure the completion of production targets.
[0003] Shale gas wells exhibit unique production dynamics and are highly sensitive to production regimes. For wells undergoing depressurization production, production rapidly reaches its peak and then enters a high-speed decline phase, with a decline rate of 60%–70% in the first year. This decline gradually decreases until a stable low-production phase in the later stages is reached. For wells undergoing controlled production, the rate of production increase after gas breakthrough is much lower than that of wells undergoing depressurization, and the time to reach peak production is longer, varying depending on the degree of pressure control. If strict pressure control is implemented with 3–4 mm nozzles, the time from gas breakthrough to peak production can exceed 100 days, 300% longer than that of wells undergoing depressurization. Simultaneously, wells undergoing controlled production have a lower decline rate during the decline phase, with an initial decline rate of approximately 30%–40%. The production dynamics, including decline characteristics, at each production stage differ significantly from those of wells undergoing depressurization. In actual production, influenced by objective factors such as production targets, some wells adopt moderately controlled pressure production to achieve faster output and cost recovery, while also considering the long-term stable operation of gas well capacity. This results in significantly different degradation characteristics compared to wells produced with depressurization or strict pressure control. Consequently, when a shale gas field contains wells using different production methods, the production scheduling becomes exceptionally complex due to the significant differences in their degradation patterns. Furthermore, as the scale of shale gas development and the number of wells increase, the difficulty of scheduling will further rise while maintaining accuracy.
[0004] To address the challenges of precise production scheduling in shale gas fields due to the significant differences in well production methods, the large number of wells, and the complexity of well conditions, a rapid and accurate production scheduling method for shale gas fields needs to be established. Extensive research has revealed no relevant studies or technical solutions. Currently, mining operations generally employ rather general scheduling methods, particularly for individual wells, lacking precise identification of their production methods, production times, and decline stages. This results in an inability to predict production based on the decline trend corresponding to the well's current production stage, leading to poor scheduling accuracy. Summary of the Invention
[0005] The purpose of this invention is to address at least one of the aforementioned shortcomings of the existing technology. For example, one objective of this invention is to propose a precise production scheduling method for shale gas fields, which obtains and establishes decline rate profiles corresponding to different types, enabling accurate prediction of future production. Simultaneously, it comprehensively considers the additional production reductions caused by factors such as pressure surges and maintenance, as well as the additional production increases brought about by various production-enhancing technological measures. This method has advantages such as high accuracy and comprehensive consideration of factors. Furthermore, the calculation of this scheme is flexible, simple, and fast, meeting the actual needs of oil and gas field production operation managers and field technicians.
[0006] To achieve the above objectives, this invention provides a method for precise production scheduling in shale gas fields, specifically including the following steps:
[0007] S1: Obtain basic data
[0008] The basic data includes gas well static parameters, benchmark production, expected production date, and expected initial production capacity;
[0009] S2: Calculate shale gas field production decline rate data
[0010] Obtain historical production data of shale gas fields, and calculate the production decline rate data of shale gas fields based on historical production data and according to the production decline pattern;
[0011] S3: Calculate gas well production profile
[0012] S301. For wells that have been put into production, based on the benchmark production obtained in step S1 and the decline rate data obtained in step S2, establish a single-well production profile for the wells that have been put into production.
[0013] S302. For wells to be put into production, obtain the expected initial production capacity. Based on the expected initial production capacity and the decline rate data obtained in step S2, establish a single-well production profile for the wells to be put into production.
[0014] S4: Calculate the impact on output and measures to increase output;
[0015] S5: Determine the final production profile of a single well.
[0016] Based on the single-well production profile obtained in step S3, the impact production of the corresponding single well is reduced, and the production increase measures of the corresponding single well are increased to obtain the final production profile of each single well.
[0017] In a preferred embodiment of this solution, the unit of the time interval includes days, months, years, etc.
[0018] In a preferred embodiment of this solution, in step S1, the benchmark output includes, but is not limited to, one of daily output, monthly output, and annual output.
[0019] In a preferred embodiment of this solution, in step S1, the expected initial production capacity includes, but is not limited to, one of the expected first-day production, first-month production, and first-year production of the well to be put into production.
[0020] In a preferred embodiment of this solution, in step S2, the shale gas field production decline rate includes, but is not limited to, one of the following: daily decline rate, monthly decline rate, and annual decline rate;
[0021] Furthermore, the time unit of the decline rate data is consistent with the time unit of the benchmark output.
[0022] In a preferred embodiment of this solution, in step S2, the production decline pattern is summarized according to the gas well classification.
[0023] The gas well classification is based on production methods such as pressure release, moderate pressure release, and pressure control; or
[0024] It is classified according to production effects of categories I, II, III, etc.; or
[0025] It is classified according to geological zones, development units, well areas, platforms, etc.; or
[0026] It is a classification based on the development plan.
[0027] In a preferred embodiment of this solution, in step S4, the factors affecting production include the impact of pressure surge on production and the impact of maintenance on production.
[0028] The specific steps of step S4 include:
[0029] Obtain the overall production and construction schedule of the gas field and calculate the impact of pressure cross-flow on production;
[0030] Obtain the overall maintenance plan for the gas field and calculate the impact of maintenance on production.
[0031] Obtain the overall production enhancement plan for the gas field and calculate the production increase from the measures.
[0032] In a preferred embodiment of this solution, the formula for calculating the impact of pressure crosstalk on production is: Q 窜 =q 窜 ×t 窜 ;
[0033] Among them, Q 窜 To prevent crosstalk from affecting total output, q 窜 To prevent crosstalk from affecting daily output, t 窜 The cycle is affected by pressure fluctuations.
[0034] In a preferred embodiment of this solution, the formula for calculating the impact of maintenance on production is: Q 检 =q检 ×t 检 ;
[0035] Among them, Q 检 Because maintenance would affect total output, q 检 To prevent maintenance from affecting daily output, t 检 The maintenance period will be affected.
[0036] In a preferred embodiment of this solution, the formula for calculating the increased production from the measures is: Q 增 =q 增 ×t 增 ;
[0037] Among them, Q 增 To increase total production, q 增 To increase daily production, t 增 The effective period of the measures.
[0038] In a preferred embodiment of this solution, the specific steps for obtaining basic data in step S1 include:
[0039] (1) Obtaining static parameters of gas wells
[0040] Enter the well numbers of all wells to be produced in the gas field, as well as the corresponding platform numbers, well areas, geographical locations, geological zones, and development plans, etc., so that the production results of individual wells can be classified and statistically analyzed according to a certain category according to needs in the later stage, which will help technicians and development decision-makers to grasp the production distribution characteristics.
[0041] The static parameters of the gas wells also include parameters that can classify gas wells, such as production date and well type.
[0042] (2) Obtain the benchmark production rate of the wells that have been put into production.
[0043] The baseline production rate of each well put into production is entered. The baseline production rate refers to the production rate of the gas well at a relatively stable current level, or the production rate that the well is about to reach after comprehensive judgment by technical personnel due to reasons such as the implementation of production enhancement measures, production anomalies, and well construction. This baseline production rate is used as the benchmark value for subsequent production forecasts. The baseline production rate includes daily production, monthly production, and annual production.
[0044] (3) Obtain the expected production date and expected initial production capacity of the well to be put into production.
[0045] According to the shale gas field production and construction plan, the well number of the well to be put into production and the expected production date and expected initial production capacity of each well are entered. The expected initial production capacity includes the expected first-day production, first-month production, and first-year production of the well to be put into production.
[0046] In a preferred embodiment of this solution, a method for precise production scheduling of shale gas fields further includes step S6: statistically analyzing the scheduling results by calendar time;
[0047] The specific operation of step S6 is as follows:
[0048] S601. For wells that have been put into production, align the corresponding dates of the benchmark production rate mentioned in step S1, and add up the production rates of each well in each time period to obtain the total production rate of the wells that have been put into production in each time period.
[0049] S602. For wells to be put into production, based on the corresponding date of the benchmark production of the wells already put into production in step S1 and the expected production date of each well to be put into production in step S1, the final production profile of a single well in step S5 is converted into a production profile under calendar time. Then, the production of each single well in each time period is added together to obtain the total production of the wells to be put into production in each time period.
[0050] S603. Sum the total production of the wells that have been put into production and the wells that are to be put into production in each time period to obtain the total production schedule of the shale gas field.
[0051] The production of each well in each time period is obtained from the well production profile obtained in step S3.
[0052] In a preferred embodiment of this solution, a method for precise scheduling of shale gas field production plans further includes step S7: classification, statistics and display;
[0053] The specific operation of step S7 is as follows:
[0054] S701. Based on the static parameters of the gas well obtained in step S1, classify and statistically analyze the production scheduling results in step S6, including but not limited to platform number, well area, geographical location, geological zoning, development plan, and production year. All parameters that can classify gas wells are included within the scope of protection of this patent.
[0055] S702. Convert the output of each time period mentioned in step S6 to the output of days, months, years, etc., and display it.
[0056] Compared with the prior art, the beneficial effects of the present invention include at least one of the following:
[0057] (1) The present invention proposes a precise production scheduling method for shale gas field production planning, which classifies gas wells according to factors such as production method and production effect, and obtains and establishes the decline rate profiles corresponding to different types as the basis for production prediction. At the same time, it accurately locates the production stage of different single wells and directionally applies the decline rate that the wells of that type should have at that stage, thereby achieving accurate prediction of future production.
[0058] (2) At the same time, the present invention takes into account the additional production reduction caused by factors such as pressure flow and maintenance, as well as the additional production increase brought about by various production increase process measures, so as to form the final production plan scheduling result. It has the advantages of high precision, flexibility, simplicity, speed and comprehensive consideration of factors, and can meet the actual needs of oil and gas field production operation management personnel and mine technicians. Attached Figure Description
[0059] The above and other objects and / or features of the present invention will become clearer from the following description taken in conjunction with the accompanying drawings, in which:
[0060] Figure 1 The diagram shows a schematic flow chart of an exemplary embodiment of a precise production scheduling method for shale gas fields according to the present invention. Detailed Implementation
[0061] In the following text, a method for precise production scheduling of shale gas field production planning according to the present invention will be described in detail with reference to exemplary embodiments.
[0062] Extensive research has revealed no current research or technical solutions for shale gas field production planning and scheduling. Instead, mining operations generally employ rather general scheduling methods, particularly for individual wells. These methods lack precise identification of production methods, production times, and decline phases, making it impossible to predict production output based on the decline trend corresponding to the current production stage of the gas well, resulting in poor scheduling accuracy.
[0063] The main concepts of this invention include:
[0064] A method for precise production scheduling in shale gas fields is proposed, comprising the following steps:
[0065] (1) Obtain basic data such as static parameters of gas wells, benchmark production of wells already in production, expected production date and expected initial production capacity of wells to be put into production;
[0066] (2) Obtain data on the production decline rate of shale gas fields;
[0067] (3) Calculate the gas well production profile;
[0068] (4) Determine the factors affecting output and their corresponding impact on output, and determine the expected measures to increase output and their corresponding output increases;
[0069] (5) Based on the gas well production profile, reduce the production impact and increase the production from the measures to determine the final production profile of a single well.
[0070] The process involves classifying gas wells according to their production methods and effects, obtaining corresponding decline rate data as the basis for production forecasting, and accurately determining the production stage of each well based on the time intervals. A production profile is then calculated using the method Q. n+1 =Q n (1-D n ), where Q n Let Q be the output for the nth time period. n+1 Let D be the output for the (n+1)th time period. n Based on the benchmark production rate corresponding to the time, and by using the time interval of each well and the nth decline rate value referenced by the gas well classification and orientation, the accurate prediction of single-well production can be finally achieved.
[0071] Finally, the final production profile of a single well is determined based on the production profiles of the wells already in production and the wells to be put into production, after deducting the impact production of the corresponding single well and increasing the production of the corresponding single well through measures.
[0072] To better understand the inventive concept of this invention, it will be further explained below with reference to specific examples.
[0073] Example 1
[0074] A method for precise production scheduling in shale gas fields includes the following steps:
[0075] S1. Obtain basic data
[0076] The basic data includes gas well static parameters, baseline production, expected production date, and expected initial production capacity; step S1 specifically includes:
[0077] (1) Obtaining static parameters of gas wells
[0078] Enter the well numbers of all wells to be produced in the gas field, as well as the corresponding platform numbers, well areas, geographical locations, geological zones, and development plans, etc., so that the production results of individual wells can be classified and statistically analyzed according to a certain category according to needs in the later stage, which will help technicians and development decision-makers to grasp the production distribution characteristics.
[0079] The static parameters of the gas wells also include parameters that can classify gas wells, such as production date and well type.
[0080] (2) Obtain the benchmark production rate of the wells that have been put into production.
[0081] The baseline production rate of each well put into production is entered. The baseline production rate refers to the production rate of the gas well at a relatively stable current level, or the production rate that the well is about to reach after comprehensive judgment by technical personnel due to reasons such as the implementation of production enhancement measures, production anomalies, and well construction. This baseline production rate is used as the benchmark value for subsequent production forecasts. The baseline production rate includes daily production, monthly production, and annual production.
[0082] (3) Obtain the expected production date and expected initial production capacity of the well to be put into production.
[0083] According to the shale gas field production and construction plan, the well number of the well to be put into production and the expected production date and expected initial production capacity of each well are entered. The expected initial production capacity includes the expected first-day production, first-month production, and first-year production of the well to be put into production.
[0084] The expected initial production capacity can be obtained using techniques such as numerical simulation, adjacent well analogy, and production capacity factor method.
[0085] S2. Calculate shale gas field production decline rate data
[0086] Obtain historical production data of shale gas fields, and calculate the production decline rate data of shale gas fields based on historical production data and according to the production decline pattern;
[0087] The specific steps include summarizing the production decline patterns based on the historical production data of shale gas fields and classifying gas wells, calculating the production decline rate, and laying the foundation for production forecasting. The gas well classification can be based on production methods such as pressure release, moderate pressure release, and pressure control; production effects such as Class I, II, and III; geological zones, development units, well areas, and platforms; or development plans. The decline rate includes daily decline rate, monthly decline rate, and annual decline rate.
[0088] S3, Calculate the gas well production profile
[0089] Specifically, it includes:
[0090] S301. For wells that have been put into production, based on the benchmark production obtained in step S1 and the decline rate data obtained in step S2, establish a single-well production profile for the wells that have been put into production.
[0091] S302. For wells to be put into production, obtain the expected initial production capacity. Based on the expected initial production capacity and the decline rate data obtained in step S2, establish a single-well production profile for the wells to be put into production.
[0092] As a further example, for wells that have been put into production, the time interval between the production date of each well and the date corresponding to the benchmark production rate in step S1 is calculated. The unit of the time interval includes days, months, years, etc., and must be consistent with the time unit of the benchmark production rate and the decline rate in step S2.
[0093] Based on the time interval of each well and the gas well classification in step S2, the corresponding decline rate value in step S2 is referenced in a directional manner. The production of the second time period is further calculated based on the benchmark production and the decline rate value. The calculation method is Q2 = Q1(1-D1), where Q1 is the benchmark production, Q2 is the production of the second time period, and D1 is the decline rate value.
[0094] Add a time unit to the time interval, and combine the next decline rate value corresponding to the gas well classification and orientation reference. Further calculate the production of the third time period based on the production Q2 of the second time period and the next decline rate value. The calculation method is Q3 = Q2(1-D2), where Q3 is the production of the third time period and D2 is the next decline rate value.
[0095] And so on, calculating the output for each subsequent time period step by step, using the method Q. n+1 =Q n (1-D n ), where Q n Let Q be the output for the nth time period. n+1 Let D be the output for the (n+1)th time period. n Using the baseline production rate as a reference for the corresponding time period, the production rate profiles of each well are then generated by applying the time intervals for each well and the nth decline rate value categorized and referenced by the gas well classification.
[0096] For wells awaiting production, simply replace the benchmark production rate with the expected initial production capacity; the calculation method is the same as for wells already in production.
[0097] S4. Calculate the impact on output and measures to increase output;
[0098] The impact on output includes the impact of pressure surge on output and the impact of maintenance on output;
[0099] The specific operation steps of step S4 include: obtaining the overall production and construction schedule of the gas field and calculating the impact of pressure surge on production; obtaining the overall maintenance plan of the gas field and calculating the impact of maintenance on production; obtaining the overall production increase plan of the gas field and calculating the production increase of the measures.
[0100] In this example, the formula for calculating the impact of pressure crosstalk on production is: Q 窜 =q 窜 ×t 窜 ; where Q窜 To prevent crosstalk from affecting total output, q 窜 To prevent crosstalk from affecting daily output, t 窜 The cycle is affected by pressure fluctuations.
[0101] In this example, the formula for calculating the impact of maintenance on production is: Q 检 =q 检 ×t 检 ; where Q 检 Because maintenance would affect total output, q 检 To prevent maintenance from affecting daily output, t 检 The maintenance period will be affected.
[0102] In this example, the formula for calculating the increased production from the measures is: Q 增 =q 增 ×t 增 ; where Q 增 To increase total production, q 增 To increase daily production, t 增 The effective period of the measures.
[0103] S5. Determine the final production profile of a single well.
[0104] Based on the single-well production profile obtained in step S3, the impact production of the corresponding single well is reduced, and the production increase measures of the corresponding single well are increased to obtain the final production profile of each single well.
[0105] In this example, the units for the time interval include days, months, years, etc.
[0106] In this example, in step S1, the benchmark output includes, but is not limited to, one of daily output, monthly output, and annual output.
[0107] In this example, in step S1, the expected initial production capacity includes, but is not limited to, one of the expected first-day production, first-month production, and first-year production of the well to be put into production.
[0108] In this example, in step S2, the shale gas field production decline rate includes, but is not limited to, one of the daily decline rate, monthly decline rate, and annual decline rate; and the time unit of the decline rate data is consistent with the time unit of the baseline production.
[0109] Example 2
[0110] This example builds upon Example 1, further performing statistical analysis and classification of production scheduling results. Specifically, this example performs step S6: statistical analysis of production scheduling results by calendar time, and step S7: classification analysis and display, on the final production profiles of all wells already in production and those awaiting production obtained in Example 1.
[0111] Specifically, step S6 involves the following steps:
[0112] S601. For wells that have been put into production, align the corresponding dates of the benchmark production rate mentioned in step S1, and add up the production rates of each single well in each time period divided in step S3 to obtain the total production rate of the wells that have been put into production in each time period.
[0113] Regarding the time period, here's an example: Well A1 is a production well. Assume its production date is January 1, 2024, and the corresponding date for the baseline production is December 1, 2024. The time interval between the production date and the corresponding date for the baseline production is 335 days. Based on the baseline production, the 335th decline rate data (decline rate in days) in step S2 is used to calculate the production data for December 2, 2024. Then, based on this, the 336th decline rate data in step S2 is used to calculate the production data for December 3, 2024, and so on, to establish a production profile. Here, it is assumed that the established production profile covers the period from December 1, 2024 to December 31, 2025.
[0114] Well A2 is a well awaiting production, with an estimated production date of January 1, 2025. Based on the expected initial production, the first decline rate data (in days) from step S2 is used to calculate the production data for January 2, 2025. Then, based on this, the second decline rate data from step S2 is used to calculate the production data for February 3, 2025, and so on, to establish a production profile. Here, it is assumed that the established production profile covers the period from January 1, 2025 to December 31, 2025.
[0115] The time period mentioned refers to a user-defined timeframe based on display needs. For example, if production schedule results need to be displayed monthly, then the timeframe here is a calendar month: January, February, March, ... For wells A1 and A2 mentioned above, this would be January 2025, February 2025, March 2025, ... The production of wells already in production in January 2025 is the sum of the production data of well A1 from January 1st to January 31st, 2025 (31 days). The production of wells awaiting production in January 2025 is the sum of the production data of well A2 from January 1st to January 31st, 2025 (31 days). The total production in January 2025 is the sum of the production data of wells A1 and A2 mentioned above.
[0116] S602. For wells to be put into production, based on the corresponding date of the benchmark production of the wells already put into production as described in step S1, and the expected production date of each well to be put into production as described in step S1, the final production profile of a single well as described in step S5 is converted into a production profile under calendar time (calendar time refers to a calendar month (e.g., January 2025) or calendar year (e.g., 2025)). Then, the production of each single well in each time period described in step S5 (the time period has been illustrated above, referring to the month, year, etc., artificially specified according to display requirements after the benchmark production date) is added together to obtain the total production of the wells to be put into production in each time period.
[0117] S603. Sum the total production of the wells already in production and the wells to be put into production in each time period to obtain the total production schedule of the shale gas field.
[0118] In this example, step S7 specifically involves the following steps:
[0119] S701. Based on the static parameters of the gas well obtained in step S1, classify and statistically analyze the production scheduling results in step S6, including but not limited to platform number, well area, geographical location, geological zoning, development plan, and production year. All parameters that can classify gas wells are included within the scope of protection of this patent.
[0120] S702. Convert the output of each time period mentioned in step S6 to the output of days, months, years, etc., and display it.
[0121] It should be noted that the conversion method is to add the data together. For example, the output in January 2025 is the sum of the data from January 1 to January 31, a total of 31 days, and the output in 2025 is the sum of the data from January 1 to December 31, a total of 365 days.
[0122] Figure 1 A flowchart illustrating this example is shown.
[0123] Example 3
[0124] A method for precise production scheduling in shale gas fields includes the following steps:
[0125] S1: Obtain basic data
[0126] (1) Obtaining static parameters of gas wells
[0127] Enter the well numbers of all wells awaiting production in the gas field, along with their corresponding platform numbers, well areas, geographical locations, geological zones, and development plans. This will allow for the later classification and statistical analysis of single-well production results according to specific needs, helping technical personnel and development decision-makers to understand the production distribution characteristics.
[0128] The static parameters of the gas wells also include parameters that can classify gas wells, such as production date and well type.
[0129] (2) Obtain the benchmark production rate of the wells that have been put into production.
[0130] The baseline production rate of each well put into production is entered. The baseline production rate refers to the production rate of the gas well at a relatively stable current level, or the production rate that the well is about to reach after comprehensive judgment by technical personnel due to reasons such as the implementation of production enhancement measures, production abnormalities, and well construction. This baseline production rate serves as the benchmark value for subsequent production forecasts.
[0131] The benchmark output includes daily output, monthly output, and annual output.
[0132] (3) Obtain the expected production date and expected initial production capacity of the well to be put into production.
[0133] According to the shale gas field production and construction plan, the well number of the well to be put into production and the expected production date and expected initial production capacity of each well are entered. The expected initial production capacity includes the expected first-day production, first-month production, and first-year production of the well to be put into production.
[0134] S2: Obtain shale gas field production decline rate data
[0135] Based on the historical production data of shale gas fields, production decline patterns are summarized according to gas well classification, and production decline rates are calculated to lay the foundation for production forecasting. The gas well classification can be based on production methods such as pressure release, moderate pressure release, and controlled pressure; production effects such as Class I, II, and III; geological zones, development units, well areas, and platforms; or development plans. The decline rates include daily decline rates, monthly decline rates, and annual decline rates.
[0136] S3: Calculate gas well production profile
[0137] (1) For wells that have been put into production, calculate the time interval between the production date of each well and the date corresponding to the benchmark production rate in step S1. The unit of the time interval includes days, months, years, etc., and must be consistent with the time unit of the benchmark production rate and the decline rate in step S2.
[0138] Based on the time interval of each well and the gas well classification in step S2, the corresponding decline rate value in step S2 is referenced in a directional manner. The production of the second time period is further calculated based on the benchmark production and the decline rate value. The calculation method is Q2 = Q1(1-D1), where Q1 is the benchmark production, Q2 is the production of the second time period, and D1 is the decline rate value.
[0139] Add a time unit to the time interval, and combine the next decline rate value corresponding to the gas well classification and orientation reference. Further calculate the production of the third time period based on the production Q2 of the second time period and the next decline rate value. The calculation method is Q3 = Q2(1-D2), where Q3 is the production of the third time period and D2 is the next decline rate value.
[0140] And so on, calculating the output for each subsequent time period step by step, using the method Q. n+1 =Q n (1-D n ), where Q n Let Q be the output for the nth time period. n+1 Let D be the output for the (n+1)th time period. n Using the baseline production rate as a reference for the corresponding time period, the production rate profiles of each well are then generated by applying the time intervals for each well and the nth decline rate value categorized and referenced by the gas well classification.
[0141] (2) For wells to be put into production, the benchmark production rate can be replaced with the expected initial production capacity. The calculation method is the same as that for wells already in production.
[0142] S4: Calculate the impact on output and the increase in output.
[0143] (1) Calculate the production loss caused by fracturing and cross-flow in gas field according to the overall production and construction schedule. The production loss caused by fracturing and cross-flow in new wells refers to the production loss caused by fracturing and cross-flow in adjacent old wells. The calculation method is Q. 窜 =q 窜 ×t 窜 Q 窜 To prevent crosstalk from affecting total output, q 窜 To prevent crosstalk from affecting daily output, t 窜 The cycle is affected by pressure fluctuations.
[0144] (2) Calculate the impact of maintenance on production based on the overall gas field maintenance plan. The impact of maintenance on production refers to the production loss caused by normal maintenance of circuits, equipment, etc. The calculation method is Q. 检 =q 检 ×t 检 Q 检 Because maintenance would affect total output, q 检 To prevent maintenance from affecting daily output, t 检 The maintenance period will be affected.
[0145] (3) Calculate the production increase from the measures based on the overall gas field production enhancement plan. The production increase from the measures refers to the increase in production resulting from implementing production enhancement measures such as drainage and gas production technology for gas wells. The calculation method is Q. 增 =q 增 ×t增 Q 增 To increase total production, q 增 To increase daily production, t 增 The effective period of the measures.
[0146] S5: Determine the final production profile of a single well.
[0147] Based on the single-well production profiles of the wells already in production and the wells to be put into production in step S3, the impact production of the corresponding single well is reduced, and the production increase measures of the corresponding single well are increased to determine the final production profile of each single well.
[0148] S6: Statistics on production scheduling results based on calendar time
[0149] (1) For wells that have been put into production, align the dates corresponding to the benchmark production in step S1, and add up the production of each single well in each time period in step S5 to obtain the total production of the wells that have been put into production in each time period.
[0150] (2) For wells to be put into production, based on the two parameters of the benchmark production date of the wells already put into production in step S1 and the expected production date of each well to be put into production in step S1, the final production profile of a single well in step S5 is converted into a production profile under calendar time. Then, the production of each single well in each time period in step S5 is added together to obtain the total production of the wells to be put into production in each time period.
[0151] (3) The total production of the wells that have been put into production and the wells that are to be put into production in each time period under the calendar time can be summed to obtain the total production schedule of the shale gas field.
[0152] S7: Categorization Statistics and Display
[0153] (1) According to the classification and statistical analysis of the static parameters of the gas well described in step S1, the production scheduling results in step S6 include, but are not limited to, platform number, well area, geographical location, geological zoning, development plan, production year, etc. All parameters that can classify gas wells are included within the scope of protection of this patent.
[0154] (2) Convert the output of each time period mentioned in step S6 to the output of days, months, years, etc. and display them.
[0155] Although the present invention has been described above in conjunction with exemplary embodiments and accompanying drawings, those skilled in the art should understand that various modifications can be made to the above embodiments without departing from the spirit and scope of the claims.
Claims
1. A method for precise production scheduling in shale gas fields, characterized in that, Specifically, the following steps are included: S1: Obtain basic data The basic data includes gas well static parameters, benchmark production, expected production date, and expected initial production capacity; S2: Calculate shale gas field production decline rate data Obtain historical production data of shale gas fields, and calculate the production decline rate data of shale gas fields based on historical production data and according to the production decline pattern; S3: Calculate gas well production profile For wells that have been put into production, based on the benchmark production obtained in step S1 and the decline rate data obtained in step S2, a single-well production profile of the wells that have been put into production is established. For wells to be put into production, obtain the expected initial production capacity. Based on the expected initial production capacity and the decline rate data obtained in step S2, establish a single-well production profile for the wells to be put into production. S4: Calculate the impact on output and measures to increase output; S5: Determine the final production profile of a single well. Based on the single-well production profile obtained in step S3, the impact production of the corresponding single well is reduced, and the production increase measures of the corresponding single well are increased to obtain the final production profile of each single well.
2. The method for precise production scheduling in shale gas fields according to claim 1, characterized in that, In step S1, the benchmark output includes, but is not limited to, one of daily output, monthly output, and annual output.
3. The method for precise production scheduling in shale gas fields according to claim 1, characterized in that, In step S1, the expected initial production capacity includes, but is not limited to, one of the expected first-day production, first-month production, and first-year production of the well to be put into production.
4. The method for precise production scheduling in shale gas fields according to claim 2, characterized in that, In step S2, the shale gas field production decline rate includes, but is not limited to, one of the following: daily decline rate, monthly decline rate, and annual decline rate. Furthermore, the time unit of the decline rate data is consistent with the time unit of the benchmark output.
5. The method for precise production scheduling in shale gas fields according to claim 1, characterized in that, In step S4, the impact on output includes the impact of pressure surge on output and the impact of maintenance on output; The specific steps of step S4 include: Obtain the overall production and construction schedule of the gas field and calculate the impact of pressure cross-flow on production; Obtain the overall maintenance plan for the gas field and calculate the impact of maintenance on production. Obtain the overall production enhancement plan for the gas field and calculate the production increase from the measures.
6. The method for precise production scheduling in shale gas fields according to claim 5, characterized in that, The formula for calculating the impact of pressure channeling on output is: Q 窜 =q 窜 ×t 窜 ; Among them, Q 窜 To prevent crosstalk from affecting total output, q 窜 To prevent crosstalk from affecting daily output, t 窜 The cycle is affected by pressure fluctuations.
7. The method for precise production scheduling in shale gas fields according to claim 5, characterized in that, The formula for calculating the impact of maintenance on production is: Q 检 =q 检 ×t 检 ; Among them, Q 检 Because maintenance would affect total output, q 检 To prevent maintenance from affecting daily output, t 检 The maintenance period will be affected.
8. The method for precise production scheduling in shale gas fields according to claim 5, characterized in that, The formula for calculating the increased production from the aforementioned measures is: Q 增 =q 增 ×t 增 ; Among them, Q 增 To increase total production, q 增 To increase daily production, t 增 The effective period of the measures.
9. The method for precise production scheduling in shale gas fields according to claim 1, characterized in that, It also includes step S6: compiling production scheduling results by calendar time; The specific operation of step S6 is as follows: S601. For wells that have been put into production, align the corresponding dates of the benchmark production rate mentioned in step S1, and add up the production rates of each well in each time period to obtain the total production rate of the wells that have been put into production in each time period. S602. For wells to be put into production, based on the corresponding date of the benchmark production of the wells already put into production in step S1 and the expected production date of each well to be put into production in step S1, the final production profile of a single well in step S5 is converted into a production profile under calendar time. Then, the production of each single well in each time period is added together to obtain the total production of the wells to be put into production in each time period. S603. Sum the total production of the wells that have been put into production and the wells that are to be put into production in each time period to obtain the total production schedule of the shale gas field. The production of each well in each time period is obtained from the well production profile obtained in step S3.
10. A method for precise production scheduling in shale gas fields according to claim 9, characterized in that, It also includes step S7: classification, statistics, and display; The specific operation of step S7 is as follows: S701. Based on the static parameters of the gas well obtained in step S1, classify and statistically analyze the production scheduling results in step S6, including but not limited to platform number, well area, geographical location, geological zoning, development plan, and production year. All parameters that can classify gas wells are included within the scope of protection of this patent. S702. Convert the output of each time period mentioned in step S6 to the output of days, months, years, etc., and display it.