Potential Evaluation Method, Device, Electronic Equipment and Storage Medium for Problem Wells in Reservoirs

Abstract

The present invention discloses a potential evaluation method, device, electronic device and storage medium for reservoir problem wells. The method includes: determining initial screening conditions, screening at least two reservoir problem wells based on the initial screening conditions to determine target reservoir problem wells, determining target factors affecting the productivity of the reservoir problem wells, and determining target weights of the target factors, determining the potential value of the target reservoir problem wells based on the target weights, where the potential value is used to describe the degree to which the target reservoir problem wells can restore or increase the gas well production through specific technical means. The technical solution of the present application analyzes the geological state of the reservoir problem wells, the fracture intensity generated by the reservoir problem wells, the length of the effective productivity, and the potential of the productivity during the production process of the reservoir problem wells through the weights of the determined various target factors, so as to judge the degree to which the reservoir problem wells can restore or increase the gas well production through specific technical means, and realize the potential evaluation of the reservoir problem wells in shale gas wells at low cost and quickly.

Description

Technical Field

[0001] The present invention relates to the field of gas field stimulation measures, and particularly relates to a method, device, electronic device and storage medium for potential evaluation of reservoir problem wells. Background Art

[0002] As the development and production time of shale gas wells increases, the reservoir of gas wells will have varying degrees of permeability decline, generally manifested as an increase in the skin factor of gas wells and a decline in gas well production higher than the gas well decline rate.

[0003] Currently, the main method for potential evaluation of reservoir problem wells in shale gas wells is to measure the skin factor based on the well test analysis results, but it requires specialized logging instruments and coordinated well shut-in and shut-out for measurement, and then interpretation using professional software. The whole process is costly and time-consuming. Therefore, how to evaluate the potential of reservoir problem wells in shale gas wells at low cost and quickly is crucial. Summary of the Invention

[0004] The present invention provides a method, device, electronic device and storage medium for potential evaluation of reservoir problem wells, so as to achieve low-cost and rapid potential evaluation of reservoir problem wells in shale gas wells and improve the efficiency of subsequent technical measures to increase gas well production.

[0005] According to an aspect of the present invention, there is provided a method for potential evaluation of reservoir problem wells, the method comprising:

[0006] Determine initial screening conditions, and based on the initial screening conditions, screen at least two reservoir problem wells to determine target reservoir problem wells. The initial screening conditions include preset geological conditions, wellbore conditions and preset production dynamic conditions. The preset geological condition is that the remaining recoverable gas in the reservoir problem well is greater than a preset amount. The wellbore conditions are that the perforation of the tubing in the reservoir problem well is less than a preset number of perforations, there is no blockage or reduction in diameter of the tubing in the reservoir problem well, there is no casing damage above a preset position point in the reservoir problem well, and there is no stagnant material below the reservoir problem well. The preset production dynamic conditions include that the wellbore liquid accumulation in the reservoir problem well supports being discharged by gas lift or open flow blowdown, and the time when the reservoir problem well shows a pressure channeling situation is less than a preset time;

[0007] Determine target factors affecting the productivity of reservoir problem wells, and determine target weights of the target factors. The target factors include target geological factors, target fracturing factors and target production dynamic factors. The geological factors are used to describe the geological state of reservoir problem wells, the fracturing factors are used to describe the fracture intensity and the length of effective productivity generated by reservoir problem wells, and the production dynamic factors are used to describe the productivity potential during the production process of reservoir problem wells;

[0008] Determine the potential value of the target reservoir problem well based on the target weight, where the potential value is used to describe the degree to which the target reservoir problem well can restore or increase the gas well production through specific technical means.

[0009] According to another aspect of the present invention, there is provided an apparatus for evaluating the potential of a reservoir problem well, the apparatus comprising:

[0010] A screening module, configured to determine initial screening conditions, and screen at least two reservoir problem wells based on the initial screening conditions to determine the target reservoir problem well. The initial screening conditions include preset geological conditions, wellbore conditions, and preset production dynamic conditions. The preset geological condition is that the remaining recoverable gas in the reservoir problem well is greater than a preset amount. The wellbore conditions are that the perforation of the tubing in the reservoir problem well is less than the preset number of perforations, there is no blockage or constriction of the tubing in the reservoir problem well, there is no casing damage above the preset position point in the reservoir problem well, and there is no retention in the reservoir problem well. The preset production dynamic conditions include that the wellbore liquid accumulation in the reservoir problem well supports being discharged by means of gas lift or open flow blowout, and the time when the reservoir problem well has a pressure breakthrough situation is less than a preset time;

[0011] A weight determination module, configured to determine target factors affecting the productivity of the reservoir problem well, and determine the target weights of the target factors. The target factors include target geological factors, target fracturing factors, and target production dynamic factors. The geological factors are used to describe the geological state of the reservoir problem well, the fracturing factors are used to describe the fracture intensity and the length of effective productivity generated by the reservoir problem well, and the production dynamic factors are used to describe the potential of productivity during the production process of the reservoir problem well;

[0012] An evaluation unit, configured to determine the potential value of the target reservoir problem well based on the target weight, where the potential value is used to describe the degree to which the target reservoir problem well can restore or increase the gas well production through specific technical means.

[0013] According to another aspect of the present invention, there is provided an electronic device, the electronic device comprising:

[0014] At least one processor; and

[0015] A memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program executable 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 evaluating the potential of a reservoir problem well according to any embodiment of the present invention.

[0017] According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the potential evaluation method for reservoir problem wells according to any embodiment of the present invention when executed.

[0018] In the technical solution of the embodiment of the present invention, initial screening conditions are determined, at least two reservoir problem wells are screened based on the initial screening conditions to determine target reservoir problem wells, target factors affecting the productivity of the reservoir problem wells are determined, and target weights of the target factors are determined. The potential value of the target reservoir problem well is determined based on the target weight, and the potential value is used to describe the degree to which the target reservoir problem well can restore or increase the gas well production through specific technical means. The technical solution of the present application analyzes the geological state of the reservoir problem well, the fracture strength generated by the reservoir problem well, the length of the effective productivity, and the potential of the productivity during the production process of the reservoir problem well by determining the weights of the respective target factors, so as to judge the degree to which the reservoir problem well can restore or increase the gas well production through specific technical means, and realize the low-cost and rapid potential evaluation of the reservoir problem wells in shale gas wells, so as to improve the efficiency of subsequent technical measures to increase the gas well production.

[0019] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings without creative efforts based on these drawings.

[0021] Figure 1 is a flowchart of a method for evaluating the potential of a reservoir problem well according to an embodiment of the present invention;

[0022] Figure 2 is a division diagram of the gas well production interval applicable to the embodiment of the present invention;

[0023] Figure 3 is a schematic structural diagram of a device for evaluating the potential of a reservoir problem well according to an embodiment of the present invention;

[0024] Figure 4 is a schematic structural diagram of an electronic device for implementing the method for evaluating the potential of a reservoir problem well according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0025] To enable those skilled in the art to better understand the solution 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 accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0026] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described here can be implemented in an order other than those illustrated or described here. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0027] Embodiment 1

[0028] Figure 1 It is a flowchart of a potential evaluation method for a reservoir problem well provided in an embodiment of the present invention. This embodiment is applicable to the situation of potential evaluation of wells with reservoir problems in shale gas wells. This method can be executed by a potential evaluation device for a reservoir problem well. The potential evaluation device for a reservoir problem well can be implemented in the form of hardware and / or software, and the potential evaluation device for a reservoir problem well can be configured in any electronic device with network communication functions. As Figure 1 shown, the potential evaluation method for a reservoir problem well of the present application may include the following processes:

[0029] S110. Determine the initial screening conditions, and screen at least two reservoir problem wells based on the initial screening conditions to determine the target reservoir problem well.

[0030] Among them, the initial screening conditions include preset geological conditions, wellbore conditions, and preset production dynamic conditions.

[0031] The preset geological condition is that the remaining recoverable gas in the reservoir problem well is greater than the preset amount, and the preset amount can be set according to actual production requirements. For example, it can be set to 0.2 billion cubic meters;

[0032] The wellbore conditions are as follows: the perforations of the tubing in the reservoir problem well are less than the preset number of perforations, there is no blockage or diameter reduction of the tubing in the reservoir problem well, there is no casing damage above the preset position point in the reservoir problem well, and there is no retention in the reservoir problem well. The retention can be a dropped object or a tool string;

[0033] The preset production dynamic conditions include that the wellbore liquid accumulation in the reservoir problem well supports being discharged by means of gas lift or open flow blowout, and the time when the reservoir problem well has a pressure channeling situation is less than the preset time. The preset time can be set according to the actual production requirements, for example, set to 2 months.

[0034] Specifically, since there are many factors causing the sudden drop or continuous decline in the production of shale gas wells, seriously deviating from the application decline rate of gas wells, to determine that a shale gas well is a reservoir problem well, other factors need to be excluded. In the embodiments of the present application, a shale gas well can be classified as a reservoir problem well after excluding other factors such as wellbore blockage, ineffective use of gas lift or other liquid drainage methods for wellbore liquid accumulation, and pressure channeling. Further, a preliminary screening is performed on the reservoir problem wells to distinguish which reservoir problem wells may be able to be re-exploited and which reservoir problem wells are completely impossible to be exploited, that is, at least two reservoir problem wells are screened through the initial screening conditions, and the reservoir problem wells that meet all the initial screening conditions are used as the target reservoir problem wells, that is, the target reservoir problem wells may be able to be exploited again.

[0035] S120. Determine the target factors affecting the productivity of the reservoir problem well and determine the target weights of the target factors.

[0036] Among them, the target factors include target geological factors, target fracturing factors, and target production dynamic factors. The geological factors are used to describe the geological state of the reservoir problem well, the fracturing factors are used to describe the fracture intensity generated by the reservoir problem well and the length of the effective productivity, and the production dynamic factors are used to describe the potential of the productivity during the production process of the reservoir problem well.

[0037] Specifically, after determining the target factors affecting the productivity of the reservoir problem well, the principal factor analysis method can be used to determine the target weights of the target factors.

[0038] Optionally, determining the target weights of the target factors includes the following steps A1 - A3:

[0039] Step A1. Obtain the first correlation relationship and the second correlation relationship, then determine the first weight of the first parameter according to the first correlation relationship and the first parameter, and at the same time determine the second weight of the second parameter according to the second correlation relationship and the second parameter. Further, sum the first weight and the second weight to obtain the first target weight of the target geological factor.

[0040] Among them, when the target factor is the target geological factor, the target geological factor includes a first parameter and a second parameter. The first parameter is the remaining recoverable gas volume in the target reservoir problem well, and the second parameter is the recovery degree of the target reservoir problem well. The recovery degree is the ratio of the produced volume to the controlled reserve; the first correlation relationship is used to describe the weights corresponding to different first parameters, and the second correlation relationship is used to describe the weights corresponding to different second parameters.

[0041] Specifically, the first correlation relationship can be:

[0042]

[0043] Among them, P 11 is the weight of the first parameter a.

[0044] The second correlation relationship can be:

[0045]

[0046] Among them, P 12 is the weight of the second parameter b.

[0047] After further determining the first parameter and the second parameter, the intervals in which the first parameter and the second parameter fall can be determined according to the first correlation relationship and the second correlation relationship, so as to accurately obtain the first weight of the first parameter and the second weight of the second parameter, and then the first weight and the second weight are summed to obtain the first target weight of the target geological factor.

[0048] Step A2: Obtain the third correlation relationship and the fourth correlation relationship, and then determine the third weight of the third parameter according to the third correlation relationship and the third parameter. At the same time, determine the fourth weight of the fourth parameter according to the fourth correlation relationship and the fourth parameter. Further, the third weight and the fourth weight are summed to obtain the second target weight of the target fracturing factor.

[0049] Among them, when the target factor is the target fracturing factor, the target fracturing factor includes a third parameter and a fourth parameter. The third parameter is used to describe the sand addition intensity generated by sand addition in the target reservoir problem well, and the fourth parameter is used to describe the effective length of the horizontal section that can produce gas in the target reservoir problem well; the third correlation relationship is used to describe the weights corresponding to different third parameters, and the fourth correlation relationship is used to describe the weights corresponding to different fourth parameters.

[0050] Specifically, the third correlation relationship can be:

[0051]

[0052] Among them, P 21 is the weight of the third parameter ss.

[0053] The fourth correlation relationship can be:

[0054]

[0055] Among them, P 22 is the weight of the fourth parameter LL.

[0056] After further determining the third parameter and the fourth parameter, it is possible to determine which interval the third parameter and the fourth parameter fall into according to the third correlation relationship and the fourth correlation relationship, so as to accurately obtain the third weight of the third parameter and the fourth weight of the fourth parameter, and then sum the third weight and the fourth weight to obtain the second target weight of the target geological factor.

[0057] Step A3: Determine the fifth weight of the fifth parameter according to the well type of the target reservoir problem well; determine the sixth weight of the sixth parameter according to the production interval during the production process of the target reservoir problem well; obtain the fifth correlation relationship, the sixth correlation relationship and the seventh correlation relationship, and determine the seventh weight of the seventh parameter according to the fifth correlation relationship and the seventh parameter; determine the eighth weight of the eighth parameter according to the production interval during the production process of the target reservoir problem well, the sixth correlation relationship and the eighth parameter; determine the ninth weight of the ninth parameter according to the production interval during the production process of the target reservoir problem well, the seventh correlation relationship and the ninth parameter; determine the target number of days when the production of the current target reservoir problem well is at a preset ratio, and take the product of the ratio of the target number of days to the total number of days in a year and ten as the tenth weight of the tenth parameter; further sum the fifth weight, the sixth weight, the seventh weight, the eighth weight, the ninth weight and the tenth weight to obtain the third target weight of the target production dynamic factor.

[0058] Among them, when the target factor is the target production dynamic factor, the target production dynamic factor includes the fifth parameter, the sixth parameter, the seventh parameter, the eighth parameter, the ninth parameter and the tenth parameter. The fifth parameter is used to describe the well type of the target reservoir problem well, the sixth parameter is used to represent the production interval of the target reservoir problem well for producing gas, the seventh parameter is used to describe the production time within a day during the gas production process of the target reservoir problem well, the eighth parameter is used to represent the production relationship during the gas production process of the target reservoir problem well, the ninth parameter is used to represent the pressure relationship during the gas production process of the target reservoir problem well, and the tenth parameter is used to represent the production curve characteristics during the gas production process of the target reservoir problem well. The production interval includes the rapid liquid drainage period, the natural flow production period and the artificial intervention period.

[0059] Among them, the fifth correlation relationship is used to describe the different weights corresponding to different seventh parameters, the sixth correlation relationship is used to describe the different weights corresponding to different eighth parameters in different production intervals, and the seventh correlation relationship is used to describe the different weights corresponding to different ninth parameters in different production intervals.

[0060] Among them, the fifth weight of the fifth parameter is determined according to the well type of the problem well in the target reservoir. The well types of the problem wells in the target reservoir can be divided into updip well types and downdip well types. The updip well is a well with a well deviation angle in the horizontal section greater than a preset degree, and the downdip well is a well with a well deviation angle in the horizontal section less than the preset degree. The preset degree can be 90 degrees. The weight corresponding to the updip well type is 6, and the weight corresponding to the downdip well type is 10, which can be expressed as:

[0061]

[0062] Among them, P 31 is the weight of the fifth parameter.

[0063] Optionally, the production interval can divide the entire production cycle of the shale gas well into three production stages: the rapid liquid drainage period, the natural flow production period, and the artificial intervention period according to the flowback rate and the cumulative gas production; the range of the rapid liquid drainage period is before the inflection point of the flowback rate curve, the range of the natural flow production period is between the inflection point and the second inflection point of the flowback rate curve, the starting point of the artificial intervention period is the second inflection point, and the second inflection point is the point where both the cumulative production inflection point and the production time start to be less than 24 hours.

[0064] For example, Figure 2 is the division diagram of the gas well production interval applicable to the embodiments of the present invention. Figure 2 In it, the blue line is the flowback rate curve, the orange line is the cumulative gas production curve, point A is the inflection point of the flowback rate curve, point B is the second inflection point, then Figure 2 before point A in it is the rapid liquid drainage period, between point A and point B is the natural flow production period, and after point B is the artificial intervention period.

[0065] The sixth weight of the sixth parameter can be determined according to the following relational expression according to the production interval in the production process of the problem well in the target reservoir:

[0066]

[0067] Among them, the total time T1 of the rapid liquid drainage period, the total time T2 of the natural flow production period, the current total production days T3, P 32 is the weight of the sixth parameter, and the sixth parameter can be the rapid liquid drainage period, the natural flow production period, and the artificial intervention period.

[0068] Among them, the fifth correlation relationship can be expressed as:

[0069]

[0070] Among them, P 33 is the weight of the seventh parameter t.

[0071] Among them, the sixth correlation relationship can be expressed as:

[0072]

[0073] Among them, P 34 is the weight of the eighth parameter. First, it is judged which production interval is currently in, and then the weight of the eighth parameter in the corresponding production interval is determined according to the sixth correlation relationship.

[0074] Among them, the seventh correlation relationship can be expressed as:

[0075]

[0076] Among them, P 35 is the weight of the ninth parameter. First, it is judged which production interval is currently in, and then the weight of the ninth parameter in the corresponding production interval is determined according to the seventh correlation relationship.

[0077] Among them, determining the target number of days when the production of the problem well in the current target reservoir is within the preset ratio, and taking the product of the ratio of the target number of days to the total number of days in a year and ten as the tenth weight of the tenth parameter can be expressed as:

[0078]

[0079] Among them, P 36 is the weight of the tenth parameter, t1 is the target number of days when the production of the problem well in the current target reservoir is within the preset ratio, t2 is the total number of days in a year, the target number of days can be the number of days after removing the abnormal points from the total production days of the problem well in the current target reservoir, and the preset ratio can be a ratio range limited according to the actual situation, such as set to float up and down by 70%, 90%, 80%, 60%, 50%, etc.

[0080] Specifically, according to the above method, the fifth weight of the fifth parameter used to describe the well type of the problem well in the target reservoir, the sixth weight of the sixth parameter used to represent the production interval of the problem well in the target reservoir producing gas, the seventh weight of the seventh parameter used to represent the production time during the gas production process of the problem well in the target reservoir, the eighth weight of the eighth parameter used to represent the production relationship during the gas production process of the problem well in the target reservoir, the ninth weight of the ninth parameter used to represent the pressure relationship during the gas production process of the problem well in the target reservoir, and the tenth weight of the tenth parameter used to represent the production curve characteristics during the gas production process of the problem well in the target reservoir are determined. Further, the fifth weight, the sixth weight, the seventh weight, the eighth weight, the ninth weight, and the tenth weight are summed to obtain the third target weight of the target production dynamic factor.

[0081] The technical solution of this embodiment accurately determines the weights of each parameter included in the target production dynamic factor, and thus adds the weights of each parameter corresponding to the target production dynamic factor to obtain the weight of the target production dynamic factor, realizing the accurate determination of the weight, so as to accurately reflect the potential of the problem well in the target reservoir corresponding to the target production dynamic factor.

[0082] S130. Determine the potential value of the problem wells in the target reservoir based on the target weights,

[0083] wherein the potential value is used to describe the degree to which the problem wells in the target reservoir can restore or increase the gas well production through specific technical means.

[0084] Specifically, the target weights may include the first target weight, the second target weight, and the third target weight. Further, the weighted sum of the first target weight, the second target weight, and the third target weight is calculated to determine the potential value of the problem wells in the target reservoir, so as to subsequently determine whether to take measures such as chemical agent assisted drainage or water blockage removal based on the potential value.

[0085] As an optional but non-limiting solution, taking the problem wells in the shale gas wells in a certain area as an example, the specific judgment process is as follows:

[0086] Recently, the daily gas production of 10 wells in the shale gas wells in a certain area has decreased severely, and the casing pressure has gradually increased. After preliminary judgment, there are 2 wells affected by liquid accumulation and 2 wells with tubing problems (blockage). The situation where the gas volume decrease is initially judged to be caused by reservoir problems is 6 wells, namely A, B, C, D, E, and F. Table 1 below lists the basic data of the 6 wells. EUR is the remaining recoverable gas volume in the problem wells of the reservoir.

[0087] Table 1 Basic information table of six wells

[0088]

[0089] As can be seen from Table 1, due to the too high liquid level, Well C cannot be treated by means of chemical agent assisted drainage or water blockage removal, and does not meet the requirements regarding production dynamics in the preliminary screening of the problem wells in the reservoir. It is excluded from this potential evaluation.

[0090] Through the main factor analysis method of the above embodiments, the potential values shown in Table 2 below are obtained.

[0091] Table 2 Determination of potential values

[0092]

[0093] Through calculation, Well D has the highest potential, Well A is close to Well D, Well F is the second, and Wells B and E have relatively poor potential.

[0094] Table 3 shows the production of the five wells after implementing chemical agent assisted drainage. According to the implementation of chemical agent assisted drainage measures for the five wells, it is basically in line with the potential values.

[0095] Table 3 Production of five wells after implementing chemical agent assisted drainage

[0096] Pound sign Potential value Increased production volume after chemical agent drainage assistance measures (10,000 m³) A 58.9 7.23 B 52.0 1.36 D 60.7 20.26 E 47.8 2.67 F 57.5 34.74

[0097] For shale gas wells in different blocks, the weight values can be adjusted according to experience to adapt to the relevant weight values for the corresponding blocks.

[0098] In the technical solution of this embodiment, for the reservoir problem wells of shale gas wells in a certain area, potential energy evaluation is carried out according to the main factor analysis method in the above embodiment. As a result, it is found that the situation of implementing the chemical agent assisted drainage measure basically conforms to the potential energy value. That is, in this embodiment, the potential energy value is determined by determining the weight, so as to judge the potential energy of the reservoir problem wells, which realizes the low-cost and rapid potential energy evaluation of the reservoir problem wells in shale gas wells.

[0099] The technical solution of the embodiment of the present invention determines the initial screening conditions, screens at least two reservoir problem wells based on the initial screening conditions to determine the target reservoir problem wells, determines the target factors affecting the productivity of the reservoir problem wells, and determines the target weights of the target factors. Based on the target weights, the potential energy value of the target reservoir problem wells is determined. The potential energy value is used to describe the degree of restoring or increasing the gas well production through specific technical means. The technical solution of this application analyzes the geological state of the reservoir problem wells, the fracture strength generated by the reservoir problem wells, the length of the effective productivity, and the potential of the productivity during the production process of the reservoir problem wells by determining the weights of each target factor, so as to judge the degree of restoring or increasing the gas well production of the reservoir problem wells through specific technical means, and realizes the low-cost and rapid potential energy evaluation of the reservoir problem wells in shale gas wells.

[0100] Embodiment 2

[0101] Figure 3 As shown in the structural schematic diagram of a potential energy evaluation device for reservoir problem wells provided by the embodiment of the present invention, this embodiment is applicable to the situation of potential energy evaluation of wells with reservoir problems in shale gas wells. The potential energy evaluation device for reservoir problem wells can be implemented in the form of hardware and / or software, and the potential energy evaluation device for reservoir problem wells can be configured in any electronic device with network communication function. As Figure 3 shown, the device includes:

[0102] A screening module 210, configured to determine initial screening conditions, screen at least two reservoir problem wells based on the initial screening conditions to determine target reservoir problem wells. The initial screening conditions include preset geological conditions, wellbore conditions, and preset production dynamic conditions. The preset geological condition is that the remaining recoverable gas in the reservoir problem well is greater than a preset amount. The wellbore conditions are that the perforation of the tubing in the reservoir problem well is less than the preset number of perforations, there is no blockage and reduction in diameter of the tubing in the reservoir problem well, there is no casing damage above the preset position point in the reservoir problem well, and there is no retention in the reservoir problem well. The preset production dynamic conditions include that the wellbore liquid accumulation in the reservoir problem well supports being discharged by gas lift or open flow blowout, and the time when the reservoir problem well shows the situation of pressure channeling is less than the preset time;

[0103] A weight determination module 220 is configured to determine target factors affecting the productivity of reservoir problem wells and determine target weights of the target factors. The target factors include target geological factors, target fracturing factors, and target production dynamic factors. The geological factors are used to describe the geological state of reservoir problem wells. The fracturing factors are used to describe the fracture intensity and the length of effective productivity generated by reservoir problem wells. The production dynamic factors are used to describe the productivity potential during the production process of reservoir problem wells.

[0104] An evaluation unit 230 is configured to determine the potential value of a target reservoir problem well based on the target weights. The potential value is used to describe the degree to which the target reservoir problem well can restore or increase the gas well production through specific technical means.

[0105] Optionally, the target factor is a target geological factor, and the target geological factor includes a first parameter and a second parameter. The first parameter is the remaining recoverable gas volume in the target reservoir problem well, and the second parameter is the recovery degree of the target reservoir problem well. The recovery degree is the ratio of the produced volume to the controlled reserve.

[0106] Correspondingly, the weight determination module includes a first target weight determination unit, and the first target weight determination unit is configured to:

[0107] Obtain a first correlation and a second correlation. The first correlation is used to describe the weights corresponding to different first parameters, and the second correlation is used to describe the weights corresponding to different second parameters.

[0108] Determine a first weight of the first parameter according to the first correlation and the first parameter.

[0109] Determine a second weight of the second parameter according to the second correlation and the second parameter.

[0110] Sum the first weight and the second weight to obtain a first target weight of the target geological factor.

[0111] Optionally, the target factor is a target fracturing factor, and the target fracturing factor includes a third parameter and a fourth parameter. The third parameter is used to describe the sand addition intensity generated by sand addition in the target reservoir problem well, and the fourth parameter is used to describe the effective length of the horizontal section where gas can be produced in the target reservoir problem well.

[0112] Correspondingly, the weight determination module includes a second target weight determination unit, and the second target weight determination unit is configured to:

[0113] Obtain a third association relationship and a fourth association relationship, where the third association relationship is used to describe the weights corresponding to different third parameters, and the fourth association relationship is used to describe the weights corresponding to different fourth parameters;

[0114] Determine the third weight of the third parameter according to the third association relationship and the third parameter;

[0115] Determine the fourth weight of the fourth parameter according to the fourth association relationship and the fourth parameter;

[0116] Sum the third weight and the fourth weight to obtain the second target weight of the target fracturing factor.

[0117] Optionally, the target factor is a target production dynamic factor, and the target production dynamic factor includes a fifth parameter, a sixth parameter, a seventh parameter, an eighth parameter, a ninth parameter, and a tenth parameter. The fifth parameter is used to describe the well type of the target reservoir problem well, the sixth parameter is used to represent the production interval during which the target reservoir problem well produces gas, the seventh parameter is used to represent the production time within a day during the gas production process of the target reservoir problem well, the eighth parameter is used to represent the production relationship during the gas production process of the target reservoir problem well, the ninth parameter is used to represent the pressure relationship during the gas production process of the target reservoir problem well, and the tenth parameter is used to represent the production curve characteristics during the gas production process of the target reservoir problem well. The production interval includes a rapid liquid drainage period, a natural flow production period, and an artificial intervention period.

[0118] Optionally, the weight determination module includes a third target weight determination unit, and the third target weight determination unit is used for:

[0119] Obtain a fifth association relationship, a sixth association relationship, and a seventh association relationship. The fifth association relationship is used to describe different weights corresponding to different seventh parameters, the sixth association relationship is used to describe different weights corresponding to different eighth parameters in different production intervals, and the seventh association relationship is used to describe different weights corresponding to different ninth parameters in different production intervals;

[0120] Determine the fifth weight of the fifth parameter according to the well type of the target reservoir problem well;

[0121] Determine the sixth weight of the sixth parameter according to the production interval in which the target reservoir problem well is located during the production process;

[0122] Determine the seventh weight of the seventh parameter according to the fifth association relationship and the seventh parameter;

[0123] Determine the eighth weight of the eighth parameter according to the production interval in which the target reservoir problem well is located during the production process, the sixth association relationship, and the eighth parameter;

[0124] Determine the ninth weight of the ninth parameter according to the production interval in which the target reservoir problem well is located during the production process, the seventh correlation relationship, and the ninth parameter;

[0125] Determine the target number of days when the current production of the target reservoir problem well is at a preset ratio, and use the product of the ratio of the target number of days to the total number of days in a year and ten as the tenth weight of the tenth parameter;

[0126] Sum the fifth weight, the sixth weight, the seventh weight, the eighth weight, the ninth weight, and the tenth weight to obtain the third target weight of the target production dynamic factor.

[0127] Optionally, an evaluation unit, configured to:

[0128] Perform a weighted sum of the first target weight, the second target weight, and the third target weight to determine the potential value of the target reservoir problem well.

[0129] Optionally, a screening module, configured to:

[0130] Use the reservoir problem wells that meet all the initial screening conditions as the target reservoir problem wells.

[0131] The potential evaluation device for reservoir problem wells provided by the embodiments of the present invention can execute the potential evaluation method for reservoir problem wells provided by any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method.

[0132] Embodiment III

[0133] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0134] Figure 4 The structural schematic diagram of an electronic device that can be used to implement the potential evaluation method for reservoir problem wells in the embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as, laptop computers, desktop computers, workbenches, 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 processors, 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 only examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0135] As Figure 4As shown, the electronic device 10 includes at least one processor 11 and a memory communicatively connected to the at least one processor 11, such as read-only memory (ROM) 12, random access memory (RAM) 13, etc. Among them, the memory stores a computer program executable 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. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, ROM 12, and RAM 13 are connected to each other through a bus 14. The input / output (I / O) interface 15 is also connected to the bus 14.

[0136] Multiple components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, optical disc, etc.; and a communication unit 19, such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0137] The processor 11 can be various general-purpose and / or special-purpose processing components 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 dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the potential evaluation method for reservoir problem wells.

[0138] In some embodiments, the potential evaluation method for reservoir problem wells can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the potential evaluation method for reservoir problem wells described above can be executed. Alternatively, in other embodiments, the processor 11 can be configured to execute the potential evaluation method for reservoir problem wells in any other appropriate manner (for example, by means of firmware).

[0139] The various embodiments of the systems and techniques described above in this specification can be implemented in digital electronic circuitry, 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 interpretable on a programmable system including at least one programmable processor, which can be a special-purpose or general-purpose programmable processor that receives data and instructions from, and transmits data and instructions to, a storage system, at least one input device, and at least one output device.

[0140] The computer program for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions / operations specified in the flowchart and / or block diagram to be implemented. The computer program can be executed entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

[0141] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0142] 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 a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds 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).

[0143] The systems and techniques described herein can be implemented in a computing system including backend components (e.g., as a data server), or a computing system including middleware components (e.g., an application server), or a computing system including frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system including any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by digital data communication in any form or medium (e.g., a communication network). Examples of communication networks include: local area network (LAN), wide area network (WAN), blockchain network, and the Internet.

[0144] A computing system can include a client and a server. The client and the server are generally far from each other and typically interact through a communication network. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, solving the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0145] It should be understood that various forms of the processes shown above can be used, with steps reordered, added, or deleted. For example, the steps recited in the present invention can be executed 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, and no limitation is imposed herein.

[0146] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for evaluating the potential of a reservoir problem well, characterized in that: The method comprises: Determine initial screening conditions, and screen at least two reservoir problem wells based on the initial screening conditions to determine a target reservoir problem well, wherein the initial screening conditions include preset geological conditions, wellbore conditions, and preset production dynamic conditions, wherein the preset geological conditions are that the remaining recoverable gas in the reservoir problem well is greater than a preset amount, the wellbore conditions are that the number of perforations of the oil pipe in the reservoir problem well is less than a preset number of perforations, the oil pipe in the reservoir problem well has no blockage and shrinkage, the casing above a preset position point in the reservoir problem well has no casing damage, and there is no retention in the reservoir problem well, and the preset production dynamic conditions include that the wellbore liquid accumulation in the reservoir problem well supports discharge by gas lift or open blowout, and the time when the pressure channeling occurs in the reservoir problem well is less than a preset time; Determine the target factors that affect the productivity of the reservoir problem well, and determine the target weights of the target factors, the target factors include target geological factors, target fracturing factors and target production dynamic factors, the geological factors are used to describe the geological state of the reservoir problem well, the fracturing factors are used to describe the crack strength and effective productivity length of the reservoir problem well, and the production dynamic factors are used to describe the productivity potential of the reservoir problem well during production; The potential value of the target reservoir problem well is determined based on the target weight, and the potential value is used to describe the degree to which the target reservoir problem well can recover or improve the gas well production through specific technical means.

2. The method according to claim 1, characterized in that The target factor is a target geological factor, and the target geological factor includes a first parameter and a second parameter, the first parameter is the remaining recoverable gas volume in the target reservoir problem well, and the second parameter is the recovery degree of the target reservoir problem well, and the recovery degree is the ratio of the recovered volume to the controlled reserves; Accordingly, determining the target weight of the target factor includes: Acquire a first association relationship and a second association relationship, wherein the first association relationship is used to describe weights corresponding to different first parameters, and the second association relationship is used to describe weights corresponding to different second parameters; Determine a first weight of the first parameter according to the first association relationship and the first parameter; Determine a second weight of the second parameter according to the second association relationship and the second parameter; The first weight and the second weight are summed to obtain a first target weight of the target geological factor.

3. The method according to claim 2, characterized in that The target factor is a target fracturing factor, and the target fracturing factor includes a third parameter and a fourth parameter, wherein the third parameter is used to describe the sand addition intensity generated by sand addition in the target reservoir problem well, and the fourth parameter is used to describe the effective length of the horizontal section that can produce gas in the target reservoir problem well; Accordingly, determining the target weight of the target factor includes: Acquire a third association relationship and a fourth association relationship, wherein the third association relationship is used to describe weights corresponding to different third parameters, and the fourth association relationship is used to describe weights corresponding to different fourth parameters; Determine a third weight of the third parameter according to the third association relationship and the third parameter; Determine a fourth weight of the fourth parameter according to the fourth association relationship and the fourth parameter; The third weight and the fourth weight are summed to obtain a second target weight of the target fracturing factor.

4. The method according to claim 3, characterized in that The target factor is a target production dynamic factor, which includes a fifth parameter, a sixth parameter, a seventh parameter, an eighth parameter, a ninth parameter and a tenth parameter. The fifth parameter is used to describe the well type of the target reservoir problem well, the sixth parameter is used to indicate the production interval of the target reservoir problem well during gas production, the seventh parameter is used to indicate the production time within a day during the gas production process of the target reservoir problem well, the eighth parameter is used to indicate the production relationship during the gas production process of the target reservoir problem well, the ninth parameter is used to indicate the pressure relationship during the gas production process of the target reservoir problem well, and the tenth parameter is used to indicate the production curve characteristics during the gas production process of the target reservoir problem well. The production interval includes a rapid drainage period, a self-flowing production period and an artificial intervention period.

5. The method according to claim 4, characterized in that Determine the target weights of the target factors, including: Acquire a fifth association relationship, a sixth association relationship, and a seventh association relationship, wherein the fifth association relationship is used to describe different weights corresponding to different seventh parameters, the sixth association relationship is used to describe different weights corresponding to different eighth parameters in different production intervals, and the seventh association relationship is used to describe different weights corresponding to different ninth parameters in different production intervals; Determining a fifth weight of a fifth parameter according to the well type of the problem well in the target reservoir; Determining a sixth weight of the sixth parameter according to the production interval of the problem well in the target reservoir during production; Determine a seventh weight of the seventh parameter according to the fifth association relationship and the seventh parameter; Determining an eighth weight of the eighth parameter according to the production interval of the problem well in the target reservoir during production, the sixth association relationship and the eighth parameter; Determining a ninth weight of the ninth parameter according to the production interval of the problem well in the target reservoir during production, the seventh association relationship and the ninth parameter; Determine the target number of days for the production of the problem well in the current target reservoir to be within a preset ratio, and use the product of the ratio of the target number of days to the total number of days in a year and ten as the tenth weight of the tenth parameter; The third target weight of the target production dynamics factor is obtained by summing the fifth weight, the sixth weight, the seventh weight, the eighth weight, the ninth weight and the tenth weight.

6. The method according to claim 5, characterized in that Determining the potential value of the target reservoir problem well based on the target weight includes: The first target weight, the second target weight and the third target weight are weighted and summed to determine the potential value of the problem well in the target reservoir.

7. The method according to claim 1, characterized in that Screening at least two reservoir problem wells based on the initial screening conditions to determine a target reservoir problem well includes: The reservoir problem wells that meet all the initial screening conditions are taken as target reservoir problem wells.

8. A potential assessment device for reservoir problem wells, characterized in that: The device comprises: A screening module is used to determine an initial screening condition, and based on the initial screening condition, at least two reservoir problem wells are screened to determine a target reservoir problem well, wherein the initial screening condition includes a preset geological condition, a wellbore condition, and a preset production dynamic condition, wherein the preset geological condition is that the remaining recoverable gas in the reservoir problem well is greater than a preset amount, the wellbore condition is that the number of perforations of the oil pipe in the reservoir problem well is less than a preset number of perforations, the oil pipe in the reservoir problem well has no blockage and shrinkage, the casing above a preset position point in the reservoir problem well has no casing damage, and there is no retention in the reservoir problem well, and the preset production dynamic condition includes that the wellbore liquid accumulation in the reservoir problem well supports discharge by gas lift or open blowout, and the time when the pressure channeling occurs in the reservoir problem well is less than a preset time; A weight determination module is used to determine target factors that affect the productivity of the reservoir problem well and determine the target weights of the target factors, wherein the target factors include target geological factors, target fracturing factors and target production dynamic factors. The geological factors are used to describe the geological state of the reservoir problem well, the fracturing factors are used to describe the crack strength and effective productivity length of the reservoir problem well, and the production dynamic factors are used to describe the productivity potential of the reservoir problem well during production. An evaluation unit is used to determine a potential value of a target reservoir problem well based on the target weight, wherein the potential value is used to describe the degree to which the target reservoir problem well can recover or improve gas well production through specific technical means.

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 executable 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 perform the potential assessment method for a reservoir problem well 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 potential assessment method for a reservoir problem well according to any one of claims 1 to 7 when executed.

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