Unconventional oil and gas well production index library construction method, device, equipment and medium

Abstract

The invention discloses an unconventional oil and gas well production index library construction method, device and equipment and a medium. The invention relates to the technical field of unconventional oil gas. The method comprises the steps that mine production data and mine engineering data of a target oil and gas well are obtained; for each target oil and gas well, determining an instantaneous dynamic index, an accumulated dynamic index and a derived dynamic index corresponding to the target oil and gas well according to the mine production data and the mine engineering data on the basis of a preset standard algorithm and a pre-constructed production index moment; according to the instantaneous dynamic index, the accumulated dynamic index and the derived dynamic index corresponding to the target oil and gas well, a production index matrix corresponding to the target oil and gas well is determined, and an unconventional oil and gas well production index library is constructed according to all the production index matrixes; a uniform oil and gas well production dynamic index system can provide a consistent data basis for big data analysis, scientific support is provided for efficient development of unconventional oil and gas resources, and sustainable development of the energy industry is promoted.

Description

Technical Field

[0001] The present invention relates to the field of unconventional oil and gas technology, and in particular to a method, device, equipment and medium for constructing a production index library for unconventional oil and gas wells. Background Art

[0002] Since the 21st century, the exploration and development of unconventional oil and gas reservoirs has rapidly developed worldwide and has become a vital component of the oil and gas supply system. With the increasing demand for oil and gas and the gradual decline in the proportion of conventional oil and gas, the effective utilization of unconventional oil and gas is crucial for alleviating the imbalance between oil and gas supply and demand, ensuring my country's energy security, promoting a low-carbon energy transition, and facilitating carbon sequestration. However, the development of unconventional oil and gas still faces numerous challenges, including high extraction costs, significant environmental impacts, and high technical difficulty. The production dynamics of unconventional oil and gas wells are complex and influenced by multiple factors, including reservoir characteristics, fracturing effectiveness, and wellbore conditions.

[0003] With the widespread adoption of the Internet of Things (IoT), sensor technology, and data acquisition systems, oil and gas field development is generating massive amounts of data, including geological, engineering, and production data. This data is multi-source, heterogeneous, and high-dimensional, making it difficult to efficiently mine its value using traditional data processing methods.

[0004] Production performance indicators can reflect the production status of oil and gas wells, predict future production, evaluate development effectiveness, and provide data support for decision-making. However, existing production performance indicators are mostly based on the experience of conventional oil and gas wells and fail to accurately reflect the unique characteristics of unconventional oil and gas wells. To optimize production management, increase recovery, and reduce development costs, it is particularly important to develop scientific and reasonable production performance indicators. Summary of the Invention

[0005] The present invention provides a method, device, equipment and medium for constructing an unconventional oil and gas well production index library, so as to unify the oil and gas well production dynamic index system, provide a consistent data basis for big data analysis, provide scientific support for the efficient development of unconventional oil and gas resources, and promote the sustainable development of the energy industry.

[0006] According to one aspect of the present invention, a method for constructing a production index library for unconventional oil and gas wells is provided. The method comprises:

[0007] Acquire mine production data and mine engineering data of a target oil and gas well, wherein the target oil and gas well is an unconventional oil and gas well, the mine production data including at least daily gas production, daily oil production, daily fluid discharge, casing pressure, and tubing pressure, and the mine engineering data including at least horizontal well fracturing horizontal section length and fracturing fluid usage;

[0008] For each target oil and gas well, based on a preset standard algorithm and pre-established production index moments, and according to the mine production data and the mine engineering data, determine the instantaneous dynamic index, cumulative dynamic index, and derived dynamic index corresponding to the target oil and gas well, wherein the production index moments include multiple time intervals, and the time intervals are determined according to the production life cycle of the target oil and gas well;

[0009] According to the instantaneous dynamic index, cumulative dynamic index and derived dynamic index corresponding to the target oil and gas well, a production index matrix corresponding to the target oil and gas well is determined, and according to all the production index matrices, a production index library of unconventional oil and gas wells is constructed.

[0010] According to another aspect of the present invention, a device for constructing a production index library for unconventional oil and gas wells is provided. The device comprises:

[0011] A mine parameter acquisition module is used to acquire mine production data and mine engineering data of a target oil and gas well, wherein the target oil and gas well is an unconventional oil and gas well, and the mine production data includes at least daily gas production, daily oil production, daily fluid discharge, casing pressure, and tubing pressure; and the mine engineering data includes at least the horizontal section length of a horizontal well fracturing and the amount of fracturing fluid used;

[0012] a dynamic index determination module for determining, for each target oil and gas well, an instantaneous dynamic index, a cumulative dynamic index, and a derived dynamic index corresponding to the target oil and gas well based on a preset standard algorithm and pre-established production index moments, according to the mine production data and the mine engineering data, wherein the production index moments include multiple time intervals, and the time intervals are determined according to the production life cycle of the target oil and gas well;

[0013] The production index library construction module is used to determine the production index matrix corresponding to the target oil and gas well based on the instantaneous dynamic index, cumulative dynamic index and derived dynamic index corresponding to the target oil and gas well, and to construct a production index library for unconventional oil and gas wells based on all the production index matrices.

[0014] According to another aspect of the present invention, an electronic device is provided, comprising:

[0015] at least one processor; and

[0016] a memory communicatively connected to the at least one processor; wherein,

[0017] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for constructing an unconventional oil and gas well production index library as described in any embodiment of the present invention.

[0018] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for constructing an unconventional oil and gas well production index library as described in any embodiment of the present invention when executed.

[0019] The technical solution of the embodiment of the present invention obtains the mine production data and mine engineering data of the target oil and gas well. For each target oil and gas well, based on a preset standard algorithm and pre-established production index moments, the instantaneous dynamic index, cumulative dynamic index, and derived dynamic index corresponding to the target oil and gas well are determined according to the mine production data and the mine engineering data, wherein the production index moments include multiple time intervals, and the time intervals are determined according to the production life cycle of the target oil and gas well; based on the instantaneous dynamic index, cumulative dynamic index, and derived dynamic index corresponding to the target oil and gas well, the production index matrix corresponding to the target oil and gas well is determined, and based on all the production index matrices, an unconventional oil and gas well production index library is constructed. This is of great significance for achieving horizontal comparison of different types of unconventional oil and gas, supporting big data analysis, and optimizing development decisions. It is an important foundation for promoting the standardization and intelligent development of the oil and gas industry, providing scientific support for the efficient development of unconventional oil and gas resources, and promoting the sustainable development of the energy industry.

[0020] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 This is a flow chart of a method for constructing a production index library for unconventional oil and gas wells according to the first embodiment of the present invention;

[0023] Figure 2 This is a flow chart of a method for constructing a production index library for unconventional oil and gas wells according to a second embodiment of the present invention;

[0024] Figure 3 This is a structural diagram of a device for constructing a production index library for unconventional oil and gas wells according to a third embodiment of the present invention;

[0025] Figure 4It is a structural schematic diagram of an electronic device for implementing the method for constructing an unconventional oil and gas well production index library according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0027] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0028] Example 1

[0029] Figure 1 This is a flowchart of a method for constructing an unconventional oil and gas well production index library provided in the first embodiment of the present invention. This embodiment is applicable to the case of constructing unconventional oil and gas well production indexes. The method can be executed by an unconventional oil and gas well production index library construction device. The unconventional oil and gas well production index library construction device can be implemented in the form of hardware and / or software. The unconventional oil and gas well production index library construction device can be configured in an electronic device. Figure 1 As shown, the method includes:

[0030] S101. Acquire mine production data and mine engineering data of a target oil and gas well.

[0031] Among them, the target oil and gas wells may refer to unconventional oil and gas wells. Unconventional oil and gas refers to continuous oil and gas resources that cannot be economically mined by natural industrial production using traditional technologies and require new technologies such as physical methods to improve reservoir permeability and fluid viscosity or chemical methods to convert oil and gas.

[0032] Illustratively, the mine production data includes at least daily gas production, daily oil production, daily fluid discharge, casing pressure, and tubing pressure, and the mine engineering data includes at least the length of the horizontal section of the horizontal well fracturing and the amount of fracturing fluid used.

[0033] The method for constructing dynamic production indicators for unconventional oil and gas wells deeply integrates big data platforms and analytical methods. This method first requires collecting production data from target oil and gas wells. Simultaneously, basic labels are established for producing wells, including their basins, gas reservoirs, blocks, well areas, and platforms. This facilitates subsequent intelligent analogy applications based on search logic. Data collection can be performed on-site or dynamically linked to other databases for real-time access to production data. This typically requires a data platform to collect daily data in a timely manner to ensure the timely calculation and application of production dynamic indicators.

[0034] The data platform can refer to the unconventional oil and gas digital intelligence platform, an intelligent system integrating data collection, processing, analysis, and visualization capabilities. It provides a unified environment for the construction, storage, output, application, and collaborative research of unconventional oil and gas well production performance indicators. The platform integrates multi-source data to construct production performance indicators, supporting intelligent management of oil and gas fields. The unconventional oil and gas digital intelligence platform leverages data-driven and intelligent technologies to achieve refined management and optimization of the entire unconventional oil and gas well production process. Its primary functions include data collection, data access, data cleaning, data storage, data services, component services, business support, application support, and collaborative research. The unconventional oil and gas digital intelligence platform's role in unconventional oil and gas well production performance indicators lies primarily in data support, indicator construction, real-time monitoring, analysis and prediction, production optimization, and decision support. Through the platform's intelligent capabilities, managers can fully understand production dynamics, optimize production strategies, and improve oil and gas field development efficiency and economic benefits. The platform is not only a tool for calculating dynamic indicators but also a core support system for intelligent management of unconventional oil and gas fields.

[0035] For example, the collected data includes basic production data and basic well engineering data for unconventional oil and gas wells. Basic production data for unconventional oil and gas wells includes daily data such as gas production, oil production, fluid flow, casing pressure, and tubing pressure. Basic well engineering data for unconventional oil and gas wells includes data such as horizontal well fracturing section length and fracturing fluid usage.

[0036] After obtaining the basic production data of unconventional oil and gas wells and the basic well engineering data of unconventional oil and gas wells, it is necessary to pre-process the single well production dynamic data. The main purpose is to remove the "zero value" or "null value" data of daily gas production. This type of production data is usually due to production system anomalies, well repair and well closure, etc. The specific processing method of single well production dynamic data is to remove the "zero value" or "null value" data to form the dynamic data of single well continuous production. Since unconventional oil and gas wells require large-scale hydraulic fracturing measures to increase production capacity, there is a certain period of pure liquid phase production in the initial stage of development wells. When pre-processing production data, it is uniformly processed according to the daily gas production or daily oil production data, that is, the first day of production time is taken as the oil or gas appearance of unconventional oil and gas wells. After pre-processing the single well production dynamic data, all gas well dynamic data are aligned according to the effective production days to construct the production dynamic data matrix of each unconventional oil and gas well that has been put into production, including the daily gas production, daily oil production, daily fluid discharge, casing pressure, tubing pressure and other data corresponding to the effective production days, as shown in matrix (1):

[0037] [q_rg1^m, q_rg2^m, q_rg3^m, q_rg4^m, q_rg5^m, q_rg6^m,···, q_rgt^m;

[0038] q_ro1^m, q_ro2^m, q_ro3^m, q_ro4^m, q_ro5^m, q_ro6^m,···, q_rot^m;

[0039] q_rl1^m, q_rl2^m, q_rl3^m, q_rl4^m, q_rl5^m, q_rl6^m,···, q_rlt^m;

[0040] P_rc1^m, P_rc2^m, P_rc3^m, P_rc4^m, P_rc5^m, P_rc6^m,···,P_rct^m;

[0041] P_ro1^m,P_ro2^m,P_ro3^m,P_ro4^m,P_ro5^m,P_ro6^m,···,P_rot^m;]-matrix (1)

[0042] Where t represents the production time, d; q_rgt^m represents the original daily gas production of the target oil and gas well m at time t, m 3 / d; q_rot^m represents the original daily oil production of the target oil and gas well m at time t, t / d; q_rlt^m represents the original daily liquid discharge of the target oil and gas well m at time t, m 3 / d; P_rct^m represents the original acquisition casing pressure of the mth target oil and gas well at time t, MPa; P_rot^m represents the original acquisition tubing pressure of the mth target oil and gas well at time t, MPa.

[0043] S102. For each target oil and gas well, based on a preset standard algorithm and pre-established production index moments, and according to the mine production data and the mine engineering data, determine the instantaneous dynamic index, cumulative dynamic index, and derived dynamic index corresponding to the target oil and gas well.

[0044] The production index moment includes multiple time intervals, and the time intervals are determined according to the production life cycle of the target oil and gas well. Exemplarily, the process of constructing the production index moment includes:

[0045] Determine the production life cycle and default time interval of the target oil and gas well, wherein the production life cycle is divided into an initial life cycle and other life cycles; when the production life cycle is the initial life cycle, based on a preset interval refinement threshold, refine the default time interval into a target time interval, and divide the initial life cycle according to the target time interval to determine the production index moment corresponding to the initial life cycle; when the production life cycle is other life cycles, divide the other life cycles based on the default time interval to determine the production index moment corresponding to the other life cycles.

[0046] It should be noted that the idea behind constructing production dynamic indicators for unconventional oil and gas wells is to use the time when oil or gas is encountered in the unconventional oil and gas wells as the starting time of production, and to use standard calculation methods to obtain instantaneous dynamic indicators, cumulative dynamic indicators, and derived dynamic indicators corresponding to fixed time intervals.

[0047] For example, drawing on the principles of unconventional oil and gas program design, a default interval of 330 days was selected for annual effective production time to facilitate indicator unification and program tracking and evaluation. Because unconventional oil and gas production is initially a high-yield phase, to enhance indicator density and comparison, a specific division based on the production lifecycle of the target oil and gas well is necessary.

[0048] For example, when the production life cycle is the initial life cycle (e.g., the first 330 days), the threshold is refined according to a preset interval (e.g., 30-day interval), and the production indicator moments corresponding to the initial life cycle are obtained as the 1st, 30th, 60th, 90th, 120th, 150th, 180th, 210th, 240th, 270th, 300th, and 330th days;

[0049] When the production life cycle is other life cycles, the other life cycles are divided according to the default time interval (330 days), and the production indicator moments corresponding to the other life cycles are determined to be the 660th, 990th, 1320th, 1650th, 1980th, 2310th, 2640th, 2970th, 3300th, 3630th, 3960th, 4290th, 4620th, 4950th, 5280th, 5610th, 5940th, 6270th, and 6600th days.

[0050] Exemplarily, the instantaneous dynamic indicators include at least instantaneous gas volume, instantaneous oil volume, instantaneous oil equivalent, casing pressure, tubing pressure, instantaneous gas-liquid ratio and instantaneous oil-liquid ratio.

[0051] The cumulative dynamic indicators include at least cumulative gas production, cumulative oil production, cumulative oil production equivalent, cumulative drainage volume, cumulative casing pressure drop, cumulative gas-liquid ratio and cumulative oil-liquid ratio.

[0052] The derived dynamic indicators include at least the cumulative gas production of the stage, the cumulative oil production of the stage, the cumulative oil production equivalent of the stage, the cumulative drainage volume of the stage, the cumulative casing pressure drop of the stage, the cumulative tubing pressure drop of the stage, the average daily gas production of the stage, the average daily oil production of the stage, the average daily oil equivalent of the stage, the average daily drainage volume of the stage, the average daily gas production of the stage per 100-meter section, the average daily oil production of the stage per 100-meter section, the daily oil equivalent of the stage per 100-meter section, the average daily drainage volume of the stage per 100-meter section, the casing pressure drop rate of the stage, the tubing pressure drop rate of the stage, and the pressure drop rate. Fracture fluid flowback rate, annual production decline rate of unconventional natural gas, annual production decline rate of unconventional crude oil, annual production decline rate of unconventional oil equivalent, cumulative gas production per unit casing pressure drop, cumulative oil production per unit casing pressure drop, cumulative oil equivalent per unit casing pressure drop, cumulative gas production per unit casing pressure drop in a stage, cumulative oil production per unit casing pressure drop in a stage, cumulative oil equivalent per unit casing pressure drop in a stage, cumulative gas production per unit tubing pressure drop in a stage, cumulative oil production per unit tubing pressure drop in a stage, and cumulative oil equivalent per unit tubing pressure drop in a stage.

[0053] The corresponding indicator data for each instantaneous dynamic indicator at each production indicator moment is calculated using the preset standard algorithm corresponding to each indicator in the instantaneous dynamic indicator. Similarly, the corresponding indicator data for each indicator in the cumulative dynamic indicator and the derived dynamic indicator are calculated using the preset standard algorithm corresponding to each indicator in the cumulative dynamic indicator and the derived dynamic indicator. This allows the instantaneous dynamic indicator, cumulative dynamic indicator, and derived dynamic indicator to be obtained.

[0054] S103: Determine a production indicator matrix corresponding to the target oil and gas well based on the instantaneous dynamic indicators, cumulative dynamic indicators, and derived dynamic indicators corresponding to the target oil and gas well, and construct a production indicator library for unconventional oil and gas wells based on all the production indicator matrices.

[0055] Exemplarily, the production index matrix includes at least index data corresponding to each index in the instantaneous dynamic index at each production index moment, and index data corresponding to each index in the cumulative dynamic index and the derived dynamic index.

[0056] Specifically, based on the instantaneous dynamic indicators, cumulative dynamic indicators and derived dynamic indicators corresponding to the target oil and gas wells, a production indicator matrix corresponding to the target oil and gas wells is constructed, and then the production indicator matrix corresponding to each target oil and gas well is summarized to obtain a production indicator library of unconventional oil and gas wells.

[0057] The technical solution of the embodiment of the present invention obtains the mine production data and mine engineering data of the target oil and gas well. For each target oil and gas well, based on a preset standard algorithm and pre-established production index moments, the instantaneous dynamic index, cumulative dynamic index, and derived dynamic index corresponding to the target oil and gas well are determined according to the mine production data and the mine engineering data, wherein the production index moments include multiple time intervals, and the time intervals are determined according to the production life cycle of the target oil and gas well; based on the instantaneous dynamic index, cumulative dynamic index, and derived dynamic index corresponding to the target oil and gas well, the production index matrix corresponding to the target oil and gas well is determined, and based on all the production index matrices, an unconventional oil and gas well production index library is constructed. This is of great significance for achieving horizontal comparison of different types of unconventional oil and gas, supporting big data analysis, and optimizing development decisions. It is an important foundation for promoting the standardization and intelligent development of the oil and gas industry, providing scientific support for the efficient development of unconventional oil and gas resources, and promoting the sustainable development of the energy industry.

[0058] Example 2

[0059] Figure 2 This is a flowchart of a method for constructing a production index library for unconventional oil and gas wells provided in the second embodiment of the present invention. Based on the above embodiments, this embodiment further refines the instantaneous dynamic index, cumulative dynamic index and derived dynamic index corresponding to the target oil and gas well. Figure 2 As shown, the method includes:

[0060] S201. Acquire mine production data and mine engineering data of a target oil and gas well.

[0061] S202: Determine the instantaneous dynamic index and the instantaneous dynamic index corresponding to the target oil and gas well according to a preset standard algorithm and a pre-established production index moment, the mine production data, and the mine engineering data.

[0062] Specifically, the index data corresponding to each index in the instantaneous dynamic index at each production index moment is calculated according to the preset standard algorithm corresponding to each index in the cumulative dynamic index. The index data corresponding to each index is calculated according to the preset standard algorithm corresponding to each index in the cumulative dynamic index.

[0063] Exemplarily, the determining of the instantaneous dynamic index corresponding to the target oil and gas well based on the preset standard algorithm and the pre-established production index moment according to the mine production data and the mine engineering data includes:

[0064] For each production index moment, determine the data screening interval and data calculation interval corresponding to the production index moment; based on the data screening interval, determine the first production data set and the first engineering data set corresponding to the data screening interval from the mine production data and the mine engineering data; based on the data calculation interval, determine the second production data set and the second engineering data set corresponding to the data calculation interval from the first production data set and the first engineering data set; based on a preset standard algorithm, determine the instantaneous dynamic index corresponding to the target oil and gas well according to the second production data set and the second engineering data set.

[0065] It should be noted that traditional methods typically directly select actual data collected at a specific time. This drawback can result in abnormally high or low values ​​due to factors such as well closures, measures taken, or unusual living systems, making it difficult to accurately reflect the true daily natural gas production capacity of unconventional oil and gas wells at that specific time. This paper uses a dynamic median average method to process daily gas production at a specific time point in the previous year.

[0066] For example, the production index moments can be divided into two categories according to the production life cycle of the target oil and gas well, namely, the production index moments within the first year, such as the 30th, 60th, 90th, 120th, 150th, 180th, 210th, 240th, 270th, 300th, and 330th days, and the 660th, 990th, 1320th, 1650th, 1980th, 2310th, 2640th, 2970th, 3300th, 3630th, 3960th, 4290th, 4620th, 4950th, 5280th, 5610th, 5940th, 6270th, and 6600th days.

[0067] For days 30, 60, 90, 120, 150, 180, 210, 240, 270, and 300, the data screening interval corresponding to the production index moment is the interval set consisting of 7 data points both forward and backward from that day, namely the first production data set and the first engineering data set. The data calculation interval is the data interval of the data points ranked 4 to 12 after sorting the total 15 data points within the interval set, namely the second production data set and the second engineering data set.

[0068] For days 660, 990, 1320, 1650, 1980, 2310, 2640, 2970, 3300, 3630, 3960, 4290, 4620, 4950, 5280, 5610, 5940, 6270, and 6600, the data screening interval corresponding to the production index moment is the interval set consisting of 14 data points both forward and backward from that day, namely the first production data set and the first engineering data set. The data calculation interval is the data interval of the data points ranked 8th to 22nd after sorting the total 29 data points in the interval set, namely the second production data set and the second engineering data set.

[0069] Furthermore, based on a preset standard algorithm, the arithmetic mean of the second production data set and the second engineering data set is used as the instantaneous dynamic index corresponding to the target oil and gas well.

[0070] (1) For example, the calculation of each indicator in the instantaneous dynamic index is as follows:

[0071] The calculation method of instantaneous gas volume is shown in formula (1):

[0072] q_gt^m={∑Rank(4~12)(q_(rgt-7)^m, q_(rgt-6)^m, q_(rgt-5)^m,···,q_rgt^m, ···, q_(rgt+5)^m, q_(rgt+6)^m, q_(rgt+7)^m) / 9, (t=30, 60, 90, ···, 330); ∑Rank (8~22)(q_(rgt-14)^m, q_(rgt-13)^m, q_(rgt-12)^m,···,q_rgt^m,···,q_(rgt +12)^m, q_(rgt+13)^m, q_(rgt+14)^m) / 15(t=660,990,1320,···,6600);}-Formula (1)

[0073] Among them, q_gt^m represents the daily gas production of the target oil and gas well instantaneous production dynamic indicator, m 3 / d; q_rgt^m represents the original daily gas production of the target oil and gas well m at time t, m 3 / d.

[0074] This method can eliminate the impact of abnormally high and low data on the index calculation to the greatest extent, and more accurately reflect the daily natural gas production capacity at the corresponding time point.

[0075] The instantaneous oil volume is calculated as shown in formula (2):

[0076] q_ot^m={∑Rank(4~12)(q_(rot-7)^m, q_(rot-6)^m, q_(rot-5)^m,···, q_rot^m,···, q_(rot+5)^m,···, q_(rot+6)^m,···, q_(rot+7) ^m) / 9, (t=30, 60, 90, ···, 330); ∑Rank(8~22)(q_(rot-14)^m,q_(rot-13)^m,q_(rot-12)^m,···,q_rot^m,···,q_(rot+12)^m,···,q_(

[0077] (rot+13)^m,q_(rot+14)^m) / 15(t=660,990,1320,···,6600);}-Formula (2)

[0078] Where q_ot^m represents the daily oil production of the target oil and gas well, which is an instantaneous production dynamic indicator, in t / d; q_rot^m represents the original daily oil production of the mth target oil and gas well at time t, in t / d.

[0079] This method can eliminate the impact of abnormally high and low data on the index calculation to the greatest extent, and more accurately reflect the daily crude oil production capacity at the corresponding time point.

[0080] The calculation method of instantaneous oil equivalent is shown in formula (3):

[0081] q_et^m=q_ot^m+(q_gt^m) / C_e(t=30, 60, 90,···,330,···,6600)-Formula (3)

[0082] Among them, q_et^m represents the daily oil production equivalent of the target oil and gas well, t / d; q_ot^m represents the daily oil production of the target oil and gas well, t / d; q_gt^m represents the daily gas production of the target oil and gas well, m 3 / d; C_e represents the gas-oil conversion equivalence coefficient.

[0083] The calculation method of instantaneous discharge volume is shown in formula (4):

[0084] q_lt^m={∑Rank(4~12)(q_(rlt-7)^m, q_(rlt-6)^m, q_(rlt-5)^m,..., q_rlt^m, ···, q_(rlt+5)^m, q_(rlt+6)^m, q_(rlt+7)^m) / 9, (t=30, 60, 90, ···, 330); ∑Rank (8~22)(q_(rlt-14)^m, q_(rlt-13)^m, q_(rlt-12)^m,···,q_rlt^m,···,q_(rlt +12)^m, q_(rlt+13)^m, q_(rlt+14)^m) / 15(t=660,990,1320,···,6600);}-Formula (4)

[0085] Among them, q_lt^m represents the daily discharge volume of the target oil and gas well instantaneous production dynamic indicator, m 3 / d; q_rlt^m represents the original daily liquid discharge of the target oil and gas well m at time t, m 3 / d.

[0086] The calculation method of instantaneous casing pressure is shown in formula (5):

[0087] P_ct^m={∑Rank(4~12)(P_(rct-7)^m, P_(rct-6)^m, P_(rct-5)^m,···,P_rct^m, ···, P_(rct+5)^m, P_(rct+6)^m, P_(rct+7)^m) / 9, (t=30, 60, 90, ···, 330); ∑Rank (8~22)(P_(rct-14)^m, P_(rct-13)^m, P_(rct-12)^m,···,P_rct^m,···,P_(rct +12)^m, P_(rct+13)^m, P_(rct+14)^m) / 15(t=660,990,1320,···,6600);}-Formula (5)

[0088] Wherein, P_ct^m represents the instantaneous production dynamic indicator casing pressure of the target oil and gas well, in MPa; P_rct^m represents the original acquisition casing pressure corresponding to the mth target oil and gas well at time t, in MPa.

[0089] The calculation method of instantaneous oil pipe pressure is shown in formula (6):

[0090] P_ot^m={∑Rank(4~12)(P_(rot-7)^m, P_(rot-6)^m, P_(rot-5)^m,···,P_rot^m, ···, P_(rot+5)^m, P_(rot+6)^m, P_(rot+7)^m) / 9, (t=30, 60, 90, ···, 330); ∑Rank (8~22)(P_(rot-14)^m, P_(rot-13)^m, P_(rot-12)^m,···,P_rot^m,···,P_(rot +12)^m, P_(rot+13)^m, P_(rot+14)^m) / 15(t=660,990,1320,···,6600);}-Formula (6)

[0091] Wherein, P_ot^m represents the instantaneous production dynamic indicator tubing pressure of the target oil and gas well, in MPa; P_rot^m represents the original acquisition tubing pressure corresponding to the mth target oil and gas well at time t, in MPa.

[0092] The instantaneous gas-liquid ratio represents the instantaneous production dynamic index of unconventional oil and gas wells. It refers to the ratio of daily gas production to daily liquid discharge at a given time point. Its calculation method is shown in formula (7):

[0093] R_glt^m=(q_gt^m) / (q_lt^m), (t=30, 60, 90,···,330,···,6600)-Formula (7)

[0094] Among them, R_glt^m represents the instantaneous gas-liquid ratio of the target oil and gas well instantaneous production dynamic index, m 3 / m 3 ; q_gt^m represents the target oil and gas well instantaneous production dynamic index daily gas production, m 3 / d; q_lt^m represents the daily discharge volume of the target oil and gas well instantaneous production dynamic indicator, m 3 / d.

[0095] The instantaneous oil-to-liquid ratio represents the instantaneous production dynamic index of unconventional oil and gas wells. It refers to the ratio of daily oil production to daily liquid discharge at a given time point. Its calculation method is shown in formula (8):

[0096] R_olt^m=(q_ot^m) / (q_lt^m), (t=30, 60, 90,···,330,···,6600)-Formula (8)

[0097] Among them, R_olt^m represents the instantaneous oil-liquid ratio of the target oil and gas well instantaneous production dynamic index, t / m 3; q_ot^m represents the target oil and gas well instantaneous production dynamic index daily oil production, t / d; q_lt^m represents the target oil and gas well instantaneous production dynamic index daily discharge volume, m 3 / d.

[0098] (2) For example, the calculation of each indicator in the cumulative dynamic index is as follows:

[0099] (1) Cumulative gas production represents the cumulative production dynamic indicator of unconventional oil and gas wells, which is the cumulative gas production of unconventional oil and gas wells as of a given time point. Its calculation method is shown in formula (9):

[0100] Q_gt^m=∑_1^t q_rgt^m,(t=30,60,90,···,330,···,6600)-Formula (9)

[0101] Among them, Q_gt^m represents the cumulative gas production of the target oil and gas wells, m 3 ; q_rgt^m represents the original daily gas production of the target oil and gas well m at time t, m 3 / d.

[0102] (2) Cumulative oil production represents the cumulative production dynamic indicator of unconventional oil and gas wells, which is the cumulative oil production of unconventional oil and gas wells as of a given time point. Its calculation method is shown in formula (10):

[0103] Q_ot^m=∑_1^t q_rot^m, (t=30, 60, 90,···,330,···,6600)-Formula (10)

[0104] Where Q_ot^m represents the cumulative oil production of the target oil and gas well, which is a dynamic production indicator, in t; q_rot^m represents the original daily oil production of the mth target oil and gas well at time t, in t / d.

[0105] (3) Cumulative oil production equivalent represents the cumulative production dynamic indicator of unconventional oil and gas wells, which is the cumulative oil production equivalent of unconventional oil and gas wells as of a given time point. Its calculation method is shown in formula (11):

[0106] Q_et^m=Q_ot^m+(Q_gt^m) / C_e, (t=30, 60, 90,···,330,···,6600)-Formula (11)

[0107] Among them, Q_et^m represents the cumulative oil production equivalent of the target oil and gas well's cumulative production dynamic indicators, t; Q_ot^m represents the cumulative oil production of the target oil and gas well's cumulative production dynamic indicators, t; Q_gt^m represents the cumulative gas production of the target oil and gas well's cumulative production dynamic indicators, m 3 ; C_e represents the gas-oil conversion equivalence coefficient.

[0108] (4) Cumulative discharge volume represents the cumulative production dynamic indicator of unconventional oil and gas, which is the cumulative discharge volume of unconventional oil and gas wells as of a given time point. It is calculated as shown in formula (12):

[0109] Q_lt^m=∑_1^t q_rlt^m,(t=30,60,90,···,330,···,6600)-Formula (12)

[0110] Among them, Q_lt^m represents the cumulative discharge volume of the target oil and gas well’s cumulative production dynamic indicators, m 3 ; q_rlt^m represents the original daily discharge volume of target oil and gas well m at time t, m 3 / d.

[0111] (5) The cumulative casing pressure drop represents the cumulative production dynamic index of unconventional oil and gas wells. It refers to the difference between the casing pressure corresponding to the oil or gas breakthrough of the unconventional oil and gas well and the casing pressure at a given time point, reflecting the cumulative decrease in casing pressure over a given time period. Its calculation method is shown in formula (13):

[0112] ΔP_ct^m=P_c1^m-P_ct^m, (t=30,60,90,···,330,···,6600)-Formula (13)

[0113] Wherein, ΔP_ct^m represents the cumulative casing pressure drop of the target oil and gas well’s cumulative production dynamic indicator, MPa; P_ct^m represents the casing pressure of the target oil and gas well’s instantaneous production dynamic indicator, MPa.

[0114] (6) The cumulative gas-liquid ratio represents the cumulative production dynamic index of unconventional oil and gas wells. It refers to the ratio of the cumulative gas production and the cumulative liquid discharge of unconventional oil and gas wells up to a given point in time. It reflects the ratio of the cumulative gas production to the cumulative liquid discharge of fracturing fluid in a given period of time. Its calculation method is shown in formula (14):

[0115] R_cglt^m=(Q_gt^m) / (Q_lt^m), (t=30, 60, 90,···,330,···,6600)-Formula (14)

[0116] Among them, R_cglt^m represents the cumulative gas-liquid ratio m of the target oil and gas well's cumulative production dynamic index 3 / m 3 ; Q_gt^m represents the cumulative gas production of the target oil and gas wells, m 3 ; Q_lt^m represents the cumulative discharge volume of the target oil and gas well cumulative production dynamic indicators, m 3 .

[0117] (7) The cumulative oil-to-liquid ratio represents the cumulative production dynamic index of unconventional oil and gas wells. It refers to the ratio of the cumulative oil production and the cumulative fluid discharge of unconventional oil and gas wells up to a given point in time. It reflects the ratio of the cumulative oil production to the cumulative fluid discharge of the fracturing fluid in a given period of time. Its calculation method is shown in formula (15):

[0118] R_colt^m=(Q_ot^m) / (Q_lt^m), (t=30, 60, 90,···,330,···,6600)-Formula (15)

[0119] Among them, R_colt^m represents the cumulative oil-liquid ratio of the target oil and gas wells in t / m 3 ; Q_ot^m represents the cumulative oil production of the target oil and gas wells, t; Q_lt^m represents the cumulative discharge volume of the target oil and gas wells, m 3 .

[0120] S203: Determine the production life cycle of the target oil and gas well, wherein the production life cycle is divided into an initial life cycle and other life cycles.

[0121] S204: When the production life cycle is an initial life cycle, determine a derived dynamic index corresponding to the target oil and gas well according to the instantaneous dynamic index within the first preset period and the instantaneous dynamic index.

[0122] For example, the first preset period may be the time period of the previous month before the production index moment. That is, when the production index moment is the 30th, 60th, 90th, 120th, 150th, 180th, 210th, 240th, 270th, or 300th day, the first preset period may be the time period from t-30 to t days.

[0123] S205: When the production life cycle is other life cycles, determine the derived dynamic index corresponding to the target oil and gas well according to the instantaneous dynamic index within the second preset period and the instantaneous dynamic index.

[0124] For example, the second preset period may be the time period of the previous default time interval of the production index moment. That is, when the production index moment is the 660th, 990th, 1320th, 1650th, 1980th, 2310th, 2640th, 2970th, 3300th, 3630th, 3960th, 4290th, 4620th, 4950th, 5280th, 5610th, 5940th, 6270th, or 6600th day, the second preset period may be the time period from t-330 to t days.

[0125] (3) For example, the calculation of each indicator in the derived dynamic indicator is as follows:

[0126] (1) The cumulative gas production of a stage represents a dynamic indicator of unconventional oil and gas well production, which refers to the cumulative gas production within a time period at a given time point. When the effective production time is within one year (330 days), the cumulative gas production of a stage refers to the cumulative gas production in the month before the given time point. When the effective production time exceeds one year, the cumulative gas production of a stage refers to the cumulative gas production in the year before the given time point (330 days). Its calculation method is shown in formula (16):

[0127] Q_sgt^m={Q_gt^m, (t=30); Q_gt^m-Q_(gt-30)^m, (t=60, 90,···,330);

[0128] Q_gt^m-Q_(gt-330)^m, (t=660, 990, 1320, ···, 6600);}-Formula (16)

[0129] Where Q_sgt^m represents the cumulative gas production of the target oil and gas well in the derived production dynamic index stage, m 3 ; Q_gt^m represents the cumulative gas production of the target oil and gas wells, m 3 .

[0130] (2) The cumulative oil production during a period represents a dynamic indicator of unconventional oil and gas well production, and refers to the cumulative oil production during a time period at a given point in time. When the effective production time is less than one year (330 days), the cumulative oil production during a period refers to the cumulative oil production during the month before the given point in time. When the effective production time exceeds one year, the cumulative oil production during a period refers to the cumulative oil production during the year before the given point in time (330 days). Its calculation method is shown in formula (17):

[0131] Q_sot^m={Q_ot^m, (t=30); Q_ot^m-Q_(ot-30)^m, (t=60, 90,···, 330);

[0132] Q_ot^m-Q_(ot-330)^m, (t=660,990,1320,···,6600);}-Formula (17)

[0133] Wherein, Q_sot^m represents the cumulative oil production of the target oil and gas well in the derived production dynamic index stage, t; Q_ot^m represents the cumulative oil production of the target oil and gas well in the cumulative production dynamic index stage, t.

[0134] (3) The cumulative oil production equivalent of a stage represents a dynamic indicator of unconventional oil and gas well production, and refers to the cumulative oil production equivalent within a time period at a given time point. When the effective production time is within one year (330 days), the cumulative oil production equivalent of a stage refers to the cumulative oil production equivalent of the month before the given time point. When the effective production time exceeds one year, the cumulative oil production equivalent of a stage refers to the cumulative oil production equivalent of the year before the given time point (330 days). Its calculation method is shown in formula (18):

[0135] Q_set^m=Q_sot^m+(Q_sgt^m) / C_e, (t=30,60,90,···,6600)-Formula (18)

[0136] Among them, Q_set^m represents the cumulative oil production equivalent of the target oil and gas well derived production dynamic index stage, t; Q_sot^m represents the cumulative oil production of the target oil and gas well derived production dynamic index stage, t; Q_sgt^m represents the cumulative gas production of the target oil and gas well derived production dynamic index stage, m 3 ; C_e represents the gas-oil conversion equivalence coefficient.

[0137] (4) The cumulative discharge volume at a stage represents a dynamic indicator of unconventional oil and gas well production, and refers to the cumulative discharge volume within a time period at a given time point. When the effective production time is within one year (330 days), the cumulative discharge volume at a stage refers to the cumulative discharge volume in the month before the given time point. When the effective production time exceeds one year, the cumulative discharge volume at a stage refers to the cumulative discharge volume in the year before the given time point (330 days). Its calculation method is shown in formula (19):

[0138] Q_slt^m={Q_lt^m, (t=30); Q_lt^m-Q_(lt-30)^m, (t=60, 90,..., 330);

[0139] Q_lt^m-Q_(lt-330)^m, (t=660,990,1320,···,6600);}-Formula (19)

[0140] Where Q_slt^m represents the cumulative discharge volume of the target oil and gas well during the stage of derived production dynamic indicators, m 3 ; Q_lt^m represents the cumulative discharge volume of the target oil and gas well cumulative production dynamic indicators, m 3 .

[0141] (5) The cumulative casing pressure drop during a stage represents a dynamic indicator of unconventional oil and gas well production, and refers to the cumulative casing pressure drop during a time period at a given time point. When the effective production time is within one year (330 days), the cumulative casing pressure drop during a stage refers to the cumulative casing pressure drop during the month before the given time point. When the effective production time exceeds one year, the cumulative casing pressure drop during a stage refers to the cumulative casing pressure drop during the year before the given time point (330 days). Its calculation method is shown in formula (20):

[0142] ΔP_sct^m={P_c1^m-P_ct^m, (t=30); P_(ct-30)^m-P_ct^m, (t=60, 90,...,

[0143] 330); P_(ct-330)^m-P_ct^m, (t=660, 990, 1320, ···, 6600);}-Formula (20)

[0144] Wherein, ΔP_sct^m represents the cumulative casing pressure drop during the target oil and gas well derived production performance index stage, in MPa; P_ct^m represents the instantaneous production performance index casing pressure of the target oil and gas well, in MPa.

[0145] (6) The cumulative tubing pressure drop during a period represents a dynamic indicator of unconventional oil and gas well production, and refers to the cumulative tubing pressure drop during a period at a given time point. When the effective production time is within one year (330 days), the cumulative tubing pressure drop during a period refers to the cumulative tubing pressure drop during the month before the given time point. When the effective production time exceeds one year, the cumulative tubing pressure drop during a period refers to the cumulative tubing pressure drop during the year before the given time point (330 days). Its calculation method is shown in formula (21):

[0146] ΔP_sot^m={P_o1^m-P_ot^m, (t=30); P_(ot-30)^m-P_ot^m, (t=60, 90,···,

[0147] 330); P_(ot-330)^m-P_ot^m, (t=660, 990, 1320,···, 6600);}-Formula (21)

[0148] Wherein, ΔP_sot^m represents the cumulative tubing pressure drop during the target oil and gas well derived production dynamic index stage, in MPa; P_ot^m represents the instantaneous production dynamic index tubing pressure of the target oil and gas well, in MPa.

[0149] (7) The average daily gas production of a stage represents a dynamic indicator of production derived from unconventional oil and gas wells, and refers to the average daily gas production in the period before a given time point. In the initial stage of production of unconventional oil and gas wells, the oil and gas production undergoes a rapid rise and rapid decline phase. The actual recorded oil and gas production in the first year fluctuates greatly. Therefore, when the effective production time is within one year (330 days), the average daily gas production of the stage is defined as the average daily gas production up to a given time point. When the effective production time exceeds one year, the average daily gas production of the stage refers to the average daily gas production in the year (330 days) before a given time point. Its calculation method is shown in formula (22):

[0150] (q_gt^m)={(Q_gt^m) / t, (t=30, 60, 90,···, 330); (Q_sgt^m) / 330, (t=330, 990, 1320,···, 6600);}-Formula (22)

[0151] Where (q_gt^m) represents the average daily gas production of the target oil and gas well during the stage of derived production dynamic indicators, m 3 / d; Q_gt^m represents the cumulative gas production of the target oil and gas wells, m 3 ; Q_sgt^m represents the cumulative gas production of the target oil and gas well in the derived production dynamic index stage, m 3 .

[0152] (8) The average daily oil production of a stage represents a dynamic indicator of unconventional oil and gas well production, and refers to the average daily oil production in the period preceding a given time point. When the effective production time is less than one year (330 days), the average daily oil production of a stage is defined as the average daily oil production in the period preceding a given time point. When the effective production time exceeds one year, the average daily oil production of a stage refers to the average daily oil production in the year preceding a given time point (330 days). Its calculation method is shown in formula (23):

[0153] (q_ot^m)={(Q_ot^m) / t, (t=30, 60, 90,···,330); (Q_sot^m) / 330, (t=330,990,1320,···,6600);}-Formula (23)

[0154] Among them, (q_ot^m) represents the average daily oil production of the target oil and gas well during the derived production dynamic index stage, t / d; Q_ot^m represents the cumulative oil production of the target oil and gas well during the cumulative production dynamic index stage, t; Q_sot^m represents the cumulative oil production of the target oil and gas well during the derived production dynamic index stage, t.

[0155] (9) The stage average daily oil equivalent represents a dynamic indicator of unconventional oil and gas well production, and refers to the average daily oil equivalent in the period preceding a given time point. When the effective production time is within one year (330 days), the stage average daily oil equivalent is defined as the average daily oil equivalent in the period preceding a given time point. When the effective production time exceeds one year, the stage average daily oil equivalent refers to the stage average daily oil equivalent in the year preceding a given time point (330 days). Its calculation method is shown in formula (24):

[0156] (q_et^m) - =(q_ot^m) - +(q_gt^m) - / C_e-Formula (24)

[0157] Among them, (q_et^m) - represents the average daily oil production equivalent of the target oil and gas well derived production dynamic index stage, t / d; (q_ot^m) - represents the average daily oil production of the target oil and gas well during the derived production dynamic index stage, t / d; (q_gt^m) - Indicates the average daily gas production of the target oil and gas well during the derived production dynamic index stage, m 3 / d; C_e represents the gas-oil conversion equivalence coefficient.

[0158] (10) The stage average daily discharge represents a dynamic indicator of unconventional oil and gas well production, and refers to the average daily discharge in the period preceding a given time point. When the effective production time is less than one year (330 days), the stage average daily discharge is defined as the average discharge in the period preceding a given time point. When the effective production time exceeds one year, the average daily discharge refers to the average daily discharge in the year preceding a given time point (330 days). Its calculation method is shown in formula (25):

[0159] (q_lt^m)={(Q_lt^m) / t, (t=30, 60, 90,···,330); (Q_slt^m) / 330, (t=330,990,1320,···,6600);}-Formula (25)

[0160] Among them, (q_lt^m) - Indicates the average daily discharge volume of the target oil and gas well during the derived production dynamic index stage, m 3 / d; Q_lt^m represents the cumulative discharge volume of the target oil and gas well’s cumulative production dynamic index, m 3 ; Q_slt^m represents the cumulative discharge volume of the target oil and gas well derived production dynamic index stage, m 3 .

[0161] (11) The average daily gas production of a 100-meter-long segment represents a dynamic indicator of unconventional oil and gas well production and is defined as the average daily gas production of a 100-meter-long horizontal segment. Its calculation method is shown in formula (26):

[0162] (q_Hgt^m) - =((q_gt^m) - ×100) / (L_f^m), (t=330, 990, 1320, ···, 6600); - formula (26)

[0163] Among them, (q_Hgt^m) - It represents the average daily gas production of the target oil and gas well derived production dynamic index of the 100-meter segment, m 3 / (d·100m);(q_gt^m) - Indicates the average daily gas production of the target oil and gas well during the derived production dynamic index stage, m 3 / d; L_f^m represents the horizontal section length of the horizontal well fracturing.

[0164] (12) The average daily oil production of a 100-meter-long horizontal section represents a dynamic indicator of unconventional oil and gas well production and is defined as the average daily oil production of a 100-meter-long horizontal section. Its calculation method is shown in formula (27):

[0165] (q_Hot^m) - =((q_ot^m) - ×100) / (L_f^m), (t=330, 990, 1320, ···, 6600)-Formula (27)

[0166] Among them, (q_Hot^m) - represents the average daily oil production of the target oil and gas well derived production performance index of the 100-meter segment, t / (d·100m); (q_ot^m) - represents the average daily oil production of the target oil and gas well in the derived production dynamic index stage, in t / d; L_f^m represents the horizontal section length of the horizontal well fracturing.

[0167] (13) The average daily oil production equivalent of a 100-meter-long horizontal section represents a dynamic indicator of unconventional oil and gas well production and is defined as the average daily oil production equivalent of a 100-meter-long horizontal section of fracturing. Its calculation method is shown in formula (28):

[0168] (q_Het^m) - =((q_et^m) - ×100) / (L_f^m), (t=330, 990, 1320, ···, 6600)-Formula (28)

[0169] Among them, (q_Het^m) -represents the daily oil production equivalent of the target oil and gas well's derived production performance indicator (100-meter segment), t / (d·100m); (q_et^m) - represents the average daily oil production of the target oil and gas well derived production dynamic index stage, t / d; L_f^m represents the horizontal section length of the horizontal well fracturing.

[0170] (14) The average daily discharge volume of a 100-meter-long horizontal section represents a dynamic indicator of unconventional oil and gas well production and is defined as the average daily discharge volume of a 100-meter-long horizontal section of fracturing. Its calculation method is shown in formula (29):

[0171] (q_Hlt^m) - =((q_lt^m) - ×100) / (L_f^m), (t=330, 990, 1320, ···, 6600)-Formula (29)

[0172] Among them, (q_Hlt^m) - It represents the average daily discharge volume of the target oil and gas well derived production dynamic index of the 100-meter segment, m 3 / (d·100m);(q_lt^m) - Indicates the average daily discharge volume of the target oil and gas well during the derived production dynamic index stage, m 3 / d; L_f^m represents the horizontal section length of the horizontal well fracturing.

[0173] (15) The stage casing pressure drop rate represents a dynamic indicator of unconventional oil and gas well production, and refers to the average casing pressure drop rate in the period before a given time point. When the effective production time is within one year (330 days), the average casing pressure drop rate is defined as the average casing pressure drop rate in the period before a given time point. When the effective production time exceeds one year, the average casing pressure drop rate refers to the casing pressure drop rate in the year before a given time point (330 days). Its calculation method is shown in formula (30):

[0174] V_pct^m={(ΔP_ct^m) / t, (t=30, 60, 90,···, 330); (ΔP_sct^m) / 330, (t=660, 990, 1320,···, 6600);}-Formula (30)

[0175] Wherein, V_pct^m represents the casing pressure drop rate during the target oil and gas well derived production performance index stage, in MPa / d; ΔP_ct^m represents the cumulative casing pressure drop during the target oil and gas well cumulative production performance index stage, in MPa; and ΔP_sct^m represents the cumulative casing pressure drop during the target oil and gas well derived production performance index stage, in MPa.

[0176] (16) The stage tubing pressure drop rate represents a dynamic indicator of unconventional oil and gas well production, and refers to the average tubing pressure drop rate in the period preceding a given time point. When the effective production time is within one year (330 days), the average tubing pressure drop rate is defined as the average tubing pressure drop rate in the period preceding a given time point. When the effective production time exceeds one year, the stage tubing pressure drop rate refers to the average tubing pressure drop rate in the year preceding a given time point (330 days). Its calculation method is shown in formula (31):

[0177] V_pot^m={(ΔP_ot^m) / t, (t=30, 60, 90,···,330); (ΔP_sot^m) / 330, (t=660,990,1320,···,6600);}-Formula (31)

[0178] Wherein, V_pot^m represents the tubing pressure drop rate during the target oil and gas well derived production dynamic index stage, in MPa / d; ΔP_ot^m represents the cumulative tubing pressure drop during the target oil and gas well derived production dynamic index stage, in MPa; and ΔP_sot^m represents the cumulative tubing pressure drop during the target oil and gas well derived production dynamic index stage, in MPa.

[0179] (17) The fracturing fluid flowback rate is a dynamic indicator of unconventional oil and gas well production. It is defined as the ratio of the cumulative fluid discharge volume to the amount of fracturing fluid used, reflecting the degree of fracturing fluid flowback. Its calculation method is shown in formula (32):

[0180] R_fbt^m=[Q_lFB^m+Q_lt^m] / (V_f^m), (t=30, 60, 90, ···, 6600)-Formula (32)

[0181] Where R_fbt^m represents the fracturing fluid flowback rate, a derived production performance indicator of the target oil and gas well, in dimensionless units; Q_lFB^m represents the cumulative fluid discharge volume before gas or oil is seen in the target oil and gas well, in m 3 ; Q_lt^m represents the cumulative discharge volume of the target oil and gas well cumulative production dynamic indicators, m 3 ; V_f^m represents the amount of fracturing fluid used.

[0182] (18) The annual decline rate of unconventional natural gas production represents a dynamic indicator of unconventional oil and gas well production, defined as the decline in the annual gas production of unconventional oil and gas wells relative to the previous year. Unconventional oil and gas well production initially exhibits rapid increases and decreases, and the overall decline is usually described by the annual decline rate. Its calculation method is shown in formula (33):

[0183] D_gt^m=([Q_(sgt-330)^m-Q_sgt^m]) / (Q_(sgt-330)^m), (t=660, 990, 1320,···, 6600)-Formula (33)

[0184] Where D_gt^m represents the annual decline rate of unconventional natural gas production, a-1, which is the derived production dynamic indicator of the target oil and gas well; Q_sgt^m represents the cumulative gas production of the target oil and gas well during the derived production dynamic indicator period, m 3 .

[0185] (19) The annual decline rate of unconventional crude oil production represents a dynamic indicator of unconventional oil and gas well production, defined as the decline in annual oil production of unconventional oil and gas wells relative to the previous year. It is calculated as shown in formula (34):

[0186] D_ot^m=(Q_(sot-330)^m-Q_sot^m) / (Q_(sot-330)^m), (t=660, 990, 1320,···, 6600)-Formula (34)

[0187] Wherein, D_ot^m represents the annual decline rate of unconventional crude oil production, a-1, which is the derived production dynamic indicator of the target oil and gas well; Q_sot^m represents the cumulative oil production of the derived production dynamic indicator of the target oil and gas well in the stage, t.

[0188] (20) The annual decline rate of unconventional crude oil equivalent production represents a dynamic indicator of unconventional oil and gas well production, defined as the decline in the annual oil equivalent production of unconventional oil and gas wells relative to the previous year. It is calculated as shown in formula (35):

[0189] D_et^m=(Q_(set-330)^m-Q_set^m) / (Q_(set-330)^m), (t=660, 990, 1320,···, 6600)-Formula (35)

[0190] Where D_et^m represents the annual decline rate of unconventional oil equivalent, a-1, which is the derived production performance indicator of the target oil and gas well; Q_set^m represents the cumulative oil equivalent production of the derived production performance indicator of the target oil and gas well in the stage, t.

[0191] (21) Cumulative gas production per unit casing pressure drop represents a derived production dynamic indicator for unconventional oil and gas wells and is defined as the cumulative gas production per unit casing pressure drop within a given time period. Its calculation method is shown in formula (36):

[0192] Q_(pc-gt)^m=(Q_gt^m) / (ΔP_ct^m)-Formula (36)

[0193] Where Q_(pc-gt)^m represents the cumulative gas production per unit casing pressure drop of the target oil and gas well derived production dynamic indicator, m 3 / MPa; Q_gt^m represents the cumulative gas production of the target oil and gas well, m 3 ; ΔP_ct^m represents the cumulative casing pressure drop of the target oil and gas well's cumulative production performance indicator, MPa.

[0194] (22) Cumulative oil production per unit casing pressure drop represents a derived production dynamic indicator for unconventional oil and gas wells and is defined as the cumulative oil production per unit casing pressure drop within a given time period. Its calculation method is shown in formula (37):

[0195] Q_(pc-ot)^m=(Q_ot^m) / (ΔP_ct^m)-Formula (37)

[0196] Among them, Q_(pc-ot)^m represents the cumulative oil production per unit casing pressure drop of the derived production dynamic indicator of the target oil and gas well, in t / MPa; Q_ot^m represents the cumulative oil production of the cumulative production dynamic indicator of the target oil and gas well, in t; ΔP_ct^m represents the cumulative casing pressure drop of the cumulative production dynamic indicator of the target oil and gas well, in MPa.

[0197] (23) The cumulative oil production equivalent per unit casing pressure drop represents a dynamic indicator of unconventional oil and gas well production and is defined as the cumulative oil production equivalent per unit casing pressure drop within a given time period. It is calculated as shown in formula (38):

[0198] Q_(pc-et)^m=Q_(pc-ot)^m+(Q_(pc-gt)^m) / C_e-Formula (38)

[0199] Among them, Q_(pc-et)^m represents the cumulative oil production equivalent per unit casing pressure drop of the target oil and gas well derived production dynamic indicator, t / MPa; Q_(pc-ot)^m represents the cumulative oil production per unit casing pressure drop of the target oil and gas well derived production dynamic indicator, t / MPa; Q_(pc-gt)^m represents the cumulative gas production per unit casing pressure drop of the target oil and gas well derived production dynamic indicator, m 3 / MPa; C_e represents the gas-oil conversion equivalence coefficient.

[0200] (24) The cumulative gas production per unit casing pressure drop in a stage represents a derived production dynamic indicator for unconventional oil and gas wells and is defined as the cumulative gas production per unit casing pressure drop within a specified production cycle. Its calculation method is shown in formula (39):

[0201] Q_(spc-gt)^m=(Q_sgt^m) / (ΔP_sct^m)-Formula (39)

[0202] Where Q_(spc-gt)^m represents the cumulative gas production per unit casing pressure drop during the target oil and gas well derived production dynamic index stage, m 3 / MPa; Q_sgt^m represents the cumulative gas production of the target oil and gas well in the derived production dynamic index stage, m 3 ; ΔP_sct^m represents the cumulative casing pressure drop during the target oil and gas well derived production performance index stage, MPa.

[0203] (25) The cumulative oil production per unit casing pressure drop in a stage represents a derived production dynamic indicator for unconventional oil and gas wells and is defined as the cumulative oil production per unit casing pressure drop within a specified production cycle. Its calculation method is shown in formula (40):

[0204] Q_(spc-ot)^m=(Q_sot^m) / (ΔP_sct^m)-Formula (40)

[0205] Among them, Q_(spc-ot)^m represents the cumulative oil production per unit casing pressure drop during the derived production dynamic index stage of the target oil and gas well, in t / MPa; Q_sot^m represents the cumulative oil production during the derived production dynamic index stage of the target oil and gas well, in t; ΔP_sct^m represents the cumulative casing pressure drop during the derived production dynamic index stage of the target oil and gas well, in MPa.

[0206] (26) The cumulative oil production equivalent per unit casing pressure drop represents a derived production dynamic indicator for unconventional oil and gas wells and is defined as the cumulative oil production equivalent per unit casing pressure drop within a specified production cycle. Its calculation method is shown in formula (41):

[0207] Q_(spc-et)^m=Q_(spc-ot)^m+(Q_(spc-gt)^m) / C_e-formula (41)

[0208] Among them, Q_(spc-et)^m represents the cumulative oil production equivalent per unit casing pressure drop during the target oil and gas well derived production dynamic index stage, t / MPa; Q_(spc-ot)^m represents the cumulative oil production per unit casing pressure drop during the target oil and gas well derived production dynamic index stage, t / MPa; Q_(spc-gt)^m represents the cumulative gas production per unit casing pressure drop during the target oil and gas well derived production dynamic index stage, m 3 / MPa; C_e represents the gas-oil conversion equivalence coefficient.

[0209] (27) The cumulative gas production per unit tubing pressure drop during a stage represents a dynamic indicator of unconventional oil and gas well production, and is defined as the cumulative gas production per unit tubing pressure drop during a specified production cycle. Its calculation method is shown in formula (42):

[0210] Q_(spo-gt)^m=(Q_sgt^m) / (ΔP_sot^m)-Formula (42)

[0211] Where Q_(spo-gt)^m represents the cumulative gas production per unit tubing pressure drop during the target oil and gas well derived production dynamic index stage, m 3 / MPa; Q_sgt^m represents the cumulative gas production of the target oil and gas well in the derived production dynamic index stage, m 3 ΔP_sot^m represents the cumulative tubing pressure drop during the target oil and gas well derived production dynamic index stage, MPa.

[0212] (28) The cumulative oil production per unit tubing pressure drop during a period represents a derived production dynamic indicator for unconventional oil and gas wells and is defined as the cumulative oil production per unit tubing pressure drop during a specified production period. Its calculation method is shown in formula (43):

[0213] Q_(spo-ot)^m=(Q_sot^m) / (ΔP_sot^m)-Formula (43)

[0214] Among them, Q_(spo-ot)^m represents the cumulative oil production per unit tubing pressure drop during the derived production dynamic index stage of the target oil and gas well, in t / MPa; Q_sot^m represents the cumulative oil production during the derived production dynamic index stage of the target oil and gas well, in t; ΔP_sot^m represents the cumulative tubing pressure drop during the derived production dynamic index stage of the target oil and gas well, in MPa.

[0215] (29) The cumulative oil production equivalent per unit tubing pressure drop during a stage represents a dynamic indicator of unconventional oil and gas well production and is defined as the cumulative oil production equivalent per unit tubing pressure drop during a specified production cycle. Its calculation method is shown in formula (44):

[0216] Q_(spo-et)^m=Q_(spo-ot)^m+(Q_(spc-gt)^m) / C_e-formula (44)

[0217] Among them, Q_(spo-et)^m represents the cumulative oil production equivalent per unit tubing pressure drop during the target oil and gas well derived production dynamic index stage, t / MPa; Q_(spo-ot)^m represents the cumulative oil production per unit tubing pressure drop during the target oil and gas well derived production dynamic index stage, t / MPa; Q_(spo-gt)^m represents the cumulative gas production per unit tubing pressure drop during the target oil and gas well derived production dynamic index stage, m 3 / MPa; C_e represents the gas-oil conversion equivalence coefficient.

[0218] S206. Determine a production indicator matrix corresponding to the target oil and gas well based on the instantaneous dynamic indicators, cumulative dynamic indicators, and derived dynamic indicators corresponding to the target oil and gas well, and construct a production indicator library for unconventional oil and gas wells based on all the production indicator matrices.

[0219] For example, the unconventional oil and gas well production indicator database can be updated in real time. After data is updated, production performance indicators are calculated based on the newly added data. When the production data meets the corresponding production performance indicator calculation criteria, the production performance indicators are automatically calculated in a timely manner. The role of the unconventional oil and gas digital intelligence platform in unconventional oil and gas well production performance indicators is primarily reflected in data support, indicator construction, real-time monitoring, analysis and prediction, production optimization, and decision support. Through the platform's intelligent functions, managers can fully understand production dynamics, optimize production strategies, and improve oil and gas field development efficiency and economic benefits. The platform is not only a tool for calculating dynamic indicators, but also a core support system for intelligent management of unconventional oil and gas fields. The primary purpose of building an unconventional oil and gas well production performance indicator database is to scientifically and systematically evaluate and optimize the productivity and development characteristics of unconventional oil and gas wells, supporting efficient development and management decisions. The production performance of unconventional oil and gas wells is influenced by multiple factors, including reservoir characteristics, fracturing effectiveness, wellbore conditions, and production systems. The purpose of building a production performance indicator system is to comprehensively capture these complex characteristics and provide multi-dimensional quantitative indicators for production performance evaluation. Unconventional oil and gas well production performance analysis lacks unified standards, and evaluation methods vary across different well types, making cross-sectional comparison difficult. By establishing a unified indicator system, standardized evaluation can be achieved, providing a scientific basis for comparing the development performance of unconventional oil and gas wells in different regions and types. This production performance indicator system provides a standardized and structured data foundation for big data analysis, supporting the application of intelligent analytical technologies such as machine learning and data mining, thereby optimizing production forecasts and development decisions. This production performance indicator system enables real-time monitoring of oil and gas well production status, identifies key factors affecting production, optimizes production systems, increases recovery rates, reduces development costs, and ultimately enhances the economic benefits of unconventional oil and gas development. A unified indicator system will help promote standardization and regularization within the unconventional oil and gas development industry, facilitate the sharing and dissemination of technical expertise, and elevate the overall industry level. The development of this unconventional oil and gas well production performance indicator system aims to comprehensively and scientifically evaluate and optimize production performance, support big data analysis, intelligent decision-making, and technological innovation, ultimately improving development efficiency, reducing development costs, and promoting industry standardization and sustainable development. The construction of this system is not only a necessary means to cope with the complexity of unconventional oil and gas development, but also an important foundation for realizing the digital transformation and intelligent development of the energy industry.

[0220] Example 3

[0221] Figure 3This is a schematic diagram of a device for constructing an unconventional oil and gas well production index library according to the third embodiment of the present invention. Figure 3 As shown, the device includes:

[0222] A mine parameter acquisition module 301 is used to acquire mine production data and mine engineering data of a target oil and gas well, wherein the target oil and gas well is an unconventional oil and gas well, and the mine production data includes at least daily gas production, daily oil production, daily fluid discharge, casing pressure, and tubing pressure; and the mine engineering data includes at least horizontal well fracturing horizontal section length and fracturing fluid usage;

[0223] The dynamic index determination module 302 is configured to determine, for each target oil and gas well, an instantaneous dynamic index, a cumulative dynamic index, and a derived dynamic index corresponding to the target oil and gas well based on a preset standard algorithm and pre-established production index moments, according to the mine production data and the mine engineering data, wherein the production index moments include multiple time intervals, and the time intervals are determined based on the production life cycle of the target oil and gas well;

[0224] The production index library construction module 303 is used to determine the production index matrix corresponding to the target oil and gas well based on the instantaneous dynamic index, cumulative dynamic index and derived dynamic index corresponding to the target oil and gas well, and to construct a production index library for unconventional oil and gas wells based on all the production index matrices.

[0225] The technical solution of the embodiment of the present invention obtains the mine production data and mine engineering data of the target oil and gas well. For each target oil and gas well, based on a preset standard algorithm and pre-established production index moments, the instantaneous dynamic index, cumulative dynamic index, and derived dynamic index corresponding to the target oil and gas well are determined according to the mine production data and the mine engineering data, wherein the production index moments include multiple time intervals, and the time intervals are determined according to the production life cycle of the target oil and gas well; based on the instantaneous dynamic index, cumulative dynamic index, and derived dynamic index corresponding to the target oil and gas well, the production index matrix corresponding to the target oil and gas well is determined, and based on all the production index matrices, an unconventional oil and gas well production index library is constructed. This is of great significance for achieving horizontal comparison of different types of unconventional oil and gas, supporting big data analysis, and optimizing development decisions. It is an important foundation for promoting the standardization and intelligent development of the oil and gas industry, providing scientific support for the efficient development of unconventional oil and gas resources, and promoting the sustainable development of the energy industry.

[0226] Optionally, the device includes a production indicator moment construction module, which is used to:

[0227] Determining a production life cycle and a default time interval of the target oil and gas well, wherein the production life cycle is divided into an initial life cycle and other life cycles;

[0228] In the case where the production life cycle is an initial life cycle, the default time interval is refined into a target time interval based on a preset interval refinement threshold, and the initial life cycle is divided according to the target time interval to determine the production indicator moment corresponding to the initial life cycle;

[0229] In the case that the production life cycle is other life cycles, the other life cycles are divided based on the default time intervals, and the production index moments corresponding to the other life cycles are determined.

[0230] Optionally, the dynamic indicator determination module 302 includes:

[0231] A first indicator determination unit is configured to determine, based on a preset standard algorithm and a pre-established production indicator moment, the instantaneous dynamic indicator and the cumulative dynamic indicator corresponding to the target oil and gas well according to the mine production data and the mine engineering data;

[0232] A life cycle determination unit, configured to determine the production life cycle of the target oil and gas well, wherein the production life cycle is divided into an initial life cycle and other life cycles;

[0233] a second indicator determination unit, configured to determine, when the production life cycle is an initial life cycle, a derived dynamic indicator corresponding to the target oil and gas well based on the instantaneous dynamic indicator and the instantaneous dynamic indicator within the first preset period;

[0234] The second indicator determination unit is further configured to determine, when the production life cycle is another life cycle, a derived dynamic indicator corresponding to the target oil and gas well based on the instantaneous dynamic indicator and the instantaneous dynamic indicator within the second preset period;

[0235] The second preset period is greater than the first preset period.

[0236] Optionally, the first indicator determination unit is specifically configured to:

[0237] For each production index moment, determining a data screening interval and a data calculation interval corresponding to the production index moment;

[0238] According to the data screening interval, determining a first production data set and a first engineering data set corresponding to the data screening interval from the mine production data and the mine engineering data;

[0239] determining, according to the data calculation interval, from the first production data set and the first engineering data set, a second production data set and a second engineering data set corresponding to the data calculation interval;

[0240] Based on a preset standard algorithm, the instantaneous dynamic index corresponding to the target oil and gas well is determined according to the second production data set and the second engineering data set.

[0241] Optionally, the instantaneous dynamic indicators include at least instantaneous gas volume, instantaneous oil volume, instantaneous oil equivalent, casing pressure, tubing pressure, instantaneous gas-liquid ratio and instantaneous oil-liquid ratio.

[0242] Optionally, the cumulative dynamic indicators include at least cumulative gas production, cumulative oil production, cumulative oil production equivalent, cumulative drainage volume, cumulative casing pressure drop, cumulative gas-liquid ratio and cumulative oil-liquid ratio.

[0243] Optionally, the derived dynamic indicators include at least the cumulative gas production of the stage, the cumulative oil production of the stage, the cumulative oil production equivalent of the stage, the cumulative drainage volume of the stage, the cumulative casing pressure drop of the stage, the cumulative tubing pressure drop of the stage, the average daily gas production of the stage, the average daily oil production of the stage, the average daily oil equivalent of the stage, the average daily drainage volume of the stage, the average daily gas production of the stage per 100-meter section, the average daily oil production of the stage per 100-meter section, the daily oil production equivalent of the stage per 100-meter section, the average daily drainage volume of the stage per 100-meter section, the casing pressure drop rate of the stage, and the tubing pressure drop rate of the stage. rate, fracturing fluid flowback rate, annual unconventional natural gas production decline rate, annual unconventional crude oil production decline rate, annual unconventional oil equivalent production decline rate, cumulative gas production per unit casing pressure drop, cumulative oil production per unit casing pressure drop, cumulative oil equivalent per unit casing pressure drop, cumulative gas production per unit casing pressure drop in a stage, cumulative oil production per unit casing pressure drop in a stage, cumulative oil equivalent per unit casing pressure drop in a stage, cumulative gas production per unit tubing pressure drop in a stage, cumulative oil production per unit tubing pressure drop in a stage, and cumulative oil equivalent per unit tubing pressure drop in a stage.

[0244] The unconventional oil and gas well production index library construction device provided by the embodiment of the present invention can execute the unconventional oil and gas well production index library construction method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0245] Example 4

[0246] Figure 4A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0247] like Figure 4 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., which is communicatively connected to the at least one processor 11. The memory stores a computer program that can be executed by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. Various programs and data required for the operation of the electronic device 10 can also be stored in the RAM 13. The processor 11, ROM 12, and RAM 13 are connected to each other via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0248] Multiple components in the electronic device 10 are connected to the I / O interface 15, including an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0249] The processor 11 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any other suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the method for constructing a production indicator library for unconventional oil and gas wells.

[0250] In some embodiments, the method for constructing a library of production indicators for unconventional oil and gas wells can be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the method for constructing a library of production indicators for unconventional oil and gas wells described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to execute the method for constructing a library of production indicators for unconventional oil and gas wells via any other suitable means (e.g., via firmware).

[0251] Various embodiments of the systems and techniques described above can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on a chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0252] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0253] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0254] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0255] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by 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), a blockchain network, and the Internet.

[0256] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0257] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0258] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A method for constructing a production index library for unconventional oil and gas wells, characterized in that: include: Acquire mine production data and mine engineering data of a target oil and gas well, wherein the target oil and gas well is an unconventional oil and gas well, the mine production data including at least daily gas production, daily oil production, daily fluid discharge, casing pressure, and tubing pressure, and the mine engineering data including at least horizontal well fracturing horizontal section length and fracturing fluid usage; For each target oil and gas well, based on a preset standard algorithm and pre-established production index moments, and according to the mine production data and the mine engineering data, determine the instantaneous dynamic index, cumulative dynamic index, and derived dynamic index corresponding to the target oil and gas well, wherein the production index moments include multiple time intervals, and the time intervals are determined according to the production life cycle of the target oil and gas well; According to the instantaneous dynamic index, cumulative dynamic index and derived dynamic index corresponding to the target oil and gas well, a production index matrix corresponding to the target oil and gas well is determined, and according to all the production index matrices, a production index library of unconventional oil and gas wells is constructed.

2. The method according to claim 1, characterized in that The process of constructing the production indicator moment includes: Determining a production life cycle and a default time interval of the target oil and gas well, wherein the production life cycle is divided into an initial life cycle and other life cycles; In the case where the production life cycle is an initial life cycle, the default time interval is refined into a target time interval based on a preset interval refinement threshold, and the initial life cycle is divided according to the target time interval to determine the production indicator moment corresponding to the initial life cycle; In the case that the production life cycle is other life cycles, the other life cycles are divided based on the default time intervals, and the production index moments corresponding to the other life cycles are determined.

3. The method according to claim 1, characterized in that Based on a preset standard algorithm and pre-established production index moments, and according to the mine production data and the mine engineering data, the instantaneous dynamic index, the cumulative dynamic index, and the derived dynamic index corresponding to the target oil and gas well are determined, including: Determining the instantaneous dynamic index and the cumulative dynamic index corresponding to the target oil and gas well according to a preset standard algorithm and a pre-established production index moment, based on the mine production data and the mine engineering data; Determining the production life cycle of the target oil and gas well, wherein the production life cycle is divided into an initial life cycle and other life cycles; In the case where the production life cycle is an initial life cycle, determining a derived dynamic index corresponding to the target oil and gas well based on the instantaneous dynamic index and the instantaneous dynamic index within the first preset period; In the case where the production life cycle is other life cycles, determining the derived dynamic index corresponding to the target oil and gas well according to the instantaneous dynamic index and the instantaneous dynamic index within the second preset period; The second preset period is greater than the first preset period.

4. The method according to claim 1 or 3, characterized in that The instantaneous dynamic index corresponding to the target oil and gas well is determined based on the preset standard algorithm and the pre-established production index moment according to the mine production data and the mine engineering data, including: For each production index moment, determining a data screening interval and a data calculation interval corresponding to the production index moment; According to the data screening interval, determining a first production data set and a first engineering data set corresponding to the data screening interval from the mine production data and the mine engineering data; determining, according to the data calculation interval, from the first production data set and the first engineering data set, a second production data set and a second engineering data set corresponding to the data calculation interval; Based on a preset standard algorithm, the instantaneous dynamic index corresponding to the target oil and gas well is determined according to the second production data set and the second engineering data set.

5. The method according to claim 1, wherein The instantaneous dynamic indicators at least include instantaneous gas volume, instantaneous oil volume, instantaneous oil equivalent, casing pressure, oil pipe pressure, instantaneous gas-liquid ratio and instantaneous oil-liquid ratio.

6. The method according to claim 1, characterized in that The cumulative dynamic indicators include at least cumulative gas production, cumulative oil production, cumulative oil production equivalent, cumulative drainage volume, cumulative casing pressure drop, cumulative gas-liquid ratio and cumulative oil-liquid ratio.

7. The method according to claim 1, characterized in that The derived dynamic indicators at least include the cumulative gas production of the stage, the cumulative oil production of the stage, the cumulative oil production equivalent of the stage, the cumulative drainage volume of the stage, the cumulative casing pressure drop of the stage, the cumulative tubing pressure drop of the stage, the average daily gas production of the stage, the average daily oil production of the stage, the average daily oil equivalent of the stage, the average daily drainage volume of the stage, the average daily gas production of the stage per 100-meter section, the average daily oil production of the stage per 100-meter section, the daily oil equivalent of the stage per 100-meter section, the average daily drainage volume of the stage per 100-meter section, the casing pressure drop rate of the stage, the tubing pressure drop rate of the stage, Fracturing fluid flowback rate, annual production decline rate of unconventional natural gas, annual production decline rate of unconventional crude oil, annual production decline rate of unconventional oil equivalent, cumulative gas production per unit casing pressure drop, cumulative oil production per unit casing pressure drop, cumulative oil equivalent per unit casing pressure drop, cumulative gas production per unit casing pressure drop in a stage, cumulative oil production per unit casing pressure drop in a stage, cumulative oil equivalent per unit casing pressure drop in a stage, cumulative gas production per unit tubing pressure drop in a stage, cumulative oil production per unit tubing pressure drop in a stage, and cumulative oil equivalent per unit tubing pressure drop in a stage.

8. A device for constructing a production index library for unconventional oil and gas wells, characterized in that: include: A mine parameter acquisition module is used to acquire mine production data and mine engineering data of a target oil and gas well, wherein the target oil and gas well is an unconventional oil and gas well, and the mine production data includes at least daily gas production, daily oil production, daily fluid discharge, casing pressure, and tubing pressure; and the mine engineering data includes at least the horizontal section length of a horizontal well fracturing and the amount of fracturing fluid used; a dynamic index determination module for determining, for each target oil and gas well, an instantaneous dynamic index, a cumulative dynamic index, and a derived dynamic index corresponding to the target oil and gas well based on a preset standard algorithm and pre-established production index moments, according to the mine production data and the mine engineering data, wherein the production index moments include multiple time intervals, and the time intervals are determined according to the production life cycle of the target oil and gas well; The production index library construction module is used to determine the production index matrix corresponding to the target oil and gas well based on the instantaneous dynamic index, cumulative dynamic index and derived dynamic index corresponding to the target oil and gas well, and to construct a production index library for unconventional oil and gas wells based on all the production index matrices.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for constructing an unconventional oil and gas well production index library according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for constructing an unconventional oil and gas well production index library according to any one of claims 1 to 7 when executed.

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