CN115680592B - Method, device, equipment and storage medium for determining fracturing effectiveness parameters - Google Patents
Method, device, equipment and storage medium for determining fracturing effectiveness parameters Download PDFInfo
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Abstract
The application provides a method, a device, equipment and a storage medium for determining fracturing effectiveness parameters, and belongs to the technical field of oil gas development. The method comprises the following steps: obtaining physical parameters of a fracturing well to be determined, wherein the physical parameters comprise permeability parameters, effective thickness parameters, porosity parameters and oil-gas saturation parameters of the fracturing well; determining the corresponding fracturing fracture volume of the fracturing well according to the permeability parameter, the effective thickness parameter, the porosity parameter and the oil-gas saturation parameter; determining a permeability recovery parameter corresponding to the fracturing well according to the permeability parameter, wherein the permeability recovery parameter is used for representing a maximum permeability parameter corresponding to the fracturing well in a fracturing flowback stage; and determining the fracturing effectiveness parameters corresponding to the fracturing well according to the fracturing fracture volume and the permeability recovery parameters. The influence of the permeability change of the fracturing well is considered from two dimensions of volume and permeability, so that the accuracy of the determined fracturing effectiveness parameters is improved.
Description
Technical Field
The application relates to the technical field of oil and gas development, in particular to a method, a device, equipment and a storage medium for determining fracturing effectiveness parameters.
Background
Currently, a fracturing technology has become an important technology for developing a hypotonic fracturing well, and in order to ensure that the fractured fracturing well can meet the requirement of industrial oil gas flow, the fracturing effectiveness parameters of the fracturing well need to be determined before the fracturing well is fractured; the fracturing effectiveness parameter is used for indicating whether the oil gas yield of the fracturing well meets the standard or not.
In the related art, a technician acquires static reserves of a fracturing well and permeability of the fracturing well before fracturing; determining the oil gas yield of the fracturing well according to the static reserve of the fracturing well and the permeability of the reservoir; if the oil gas yield of the fracturing well is larger than a preset value, determining that the oil gas yield of the fracturing well meets the standard; if the oil gas yield of the fracturing well is not more than the preset value, determining that the oil gas yield of the fracturing well does not reach the standard.
However, in the process of fracturing a fracturing well by a fracturing fluid, the permeability of the fracturing well is reduced due to the influence of the pressure of the fracturing fluid, so that the oil gas yield of the well reaching the standard may be smaller than a preset value after fracturing, and the accuracy of the fracturing effectiveness parameter determined by the method in the related art is low.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a storage medium for determining fracturing effectiveness parameters, which can improve the accuracy of drilling coincidence information of a detection zone. The technical scheme is as follows:
in one aspect, the present application provides a method for determining a fracturing effectiveness parameter, the method comprising:
obtaining physical property parameters of a fracturing well to be determined, wherein the physical property parameters comprise permeability parameters, effective thickness parameters, porosity parameters and oil-gas saturation parameters of the fracturing well;
Determining a fracturing fracture volume corresponding to the fracturing well according to the permeability parameter, the effective thickness parameter, the porosity parameter and the oil-gas saturation parameter, wherein the fracturing fracture volume is used for representing the maximum fracturing volume corresponding to the fracturing well in a fracturing stage;
determining a permeability recovery parameter corresponding to the fracturing well according to the permeability parameter, wherein the permeability recovery parameter is used for representing a maximum permeability parameter corresponding to the fracturing well in a fracturing flowback stage;
And determining a fracturing effectiveness parameter corresponding to the fracturing well according to the fracturing fracture volume and the permeability recovery parameter, wherein the fracturing effectiveness parameter is used for indicating whether the oil gas yield after fracturing of the fracturing well meets the standard.
In one possible implementation, the determining the fracture volume corresponding to the fractured well according to the permeability parameter, the effective thickness parameter, the porosity parameter, and the hydrocarbon saturation parameter includes:
Determining an energy storage parameter of the fracturing well according to the permeability parameter, the effective thickness parameter, the porosity parameter and the oil-gas saturation parameter;
determining the fracturing oil gas yield of the fracturing well according to the energy storage parameters;
and determining the fracturing fracture volume of the fracturing well according to the fracturing oil gas yield.
In another possible implementation, the determining the energy storage parameter of the fractured well according to the permeability parameter, the effective thickness parameter, the porosity parameter, and the hydrocarbon saturation parameter includes:
determining an energy storage parameter of the fracturing well according to the permeability parameter, the effective thickness parameter, the porosity parameter and the oil-gas saturation parameter through the following formula I;
Equation one:
Wherein, Representing the energy storage parameter, K representing the permeability parameter, H representing the effective thickness parameter, phi representing the porosity parameter, and S g representing the hydrocarbon saturation parameter.
In another possible implementation, the determining the production of the fracturing oil gas of the fracturing well according to the energy storage parameter includes:
Determining the fracturing oil gas yield of the fracturing well according to the energy storage parameters through the following formula II;
Formula II:
wherein Q g represents the fracturing oil and gas production, Representing the stored energy parameter.
In another possible implementation, the determining the fracture volume of the fractured well according to the fracturing oil and gas production includes:
Determining the fracturing fracture volume corresponding to the fracturing well according to the fracturing oil gas yield through the following formula III;
and (3) a formula III:
Wherein V f represents the fracture volume and Q g represents the fracture hydrocarbon production.
In another possible implementation manner, the determining the fracturing validity parameter corresponding to the fracturing well according to the fracturing fracture volume and the permeability recovery parameter includes:
Determining the length of a crack formed in the fracturing well, and determining the influence width of the crack according to the fracturing fracture volume and the length;
Determining effective seepage range parameters corresponding to the fracturing well;
If the effective seepage range parameter is not smaller than the influence width and the permeability recovery parameter is not smaller than a preset permeability parameter, determining the fracturing effectiveness parameter as a first parameter, wherein the first parameter is used for indicating that the oil gas yield after fracturing of the fracturing well reaches the standard; and if the effective seepage range parameter is smaller than the influence width or the permeability recovery parameter is smaller than the preset permeability parameter, determining the fracturing effectiveness parameter as a second parameter, wherein the second parameter is used for indicating that the oil gas yield after fracturing of the fracturing well does not reach the standard.
In another possible implementation manner, the determining the effective seepage range parameter corresponding to the fracturing well includes:
determining the maximum production pressure difference, the formation oil gas viscosity and the production time of the fractured well during production;
determining an effective seepage range parameter corresponding to the fracturing well according to the maximum production pressure difference, the formation oil gas viscosity, the production time, the permeability parameter and the porosity parameter through the following formula IV;
Equation four:
wherein L represents the effective percolation range parameter, K represents the permeability parameter, Δp represents the maximum production pressure difference, t represents the production time, Φ represents the porosity parameter, and μ represents the formation hydrocarbon viscosity.
In another aspect, the present application provides a device for determining a fracturing effectiveness parameter, the device comprising:
the acquisition module is used for acquiring physical parameters of the fracturing well to be determined, wherein the physical parameters comprise permeability parameters, effective thickness parameters, porosity parameters and oil-gas saturation parameters of the fracturing well;
The first determining module is used for determining a fracturing fracture volume corresponding to the fracturing well according to the permeability parameter, the effective thickness parameter, the porosity parameter and the oil-gas saturation parameter, wherein the fracturing fracture volume is used for representing the maximum fracturing volume corresponding to the fracturing well in a fracturing stage;
The second determining module is used for determining a permeability recovery parameter corresponding to the fracturing well, wherein the permeability recovery parameter is used for representing a maximum permeability parameter corresponding to the fracturing well in a fracturing flowback stage;
and the third determining module is used for determining the fracturing effectiveness parameter corresponding to the fracturing well according to the fracturing fracture volume and the permeability recovery parameter, wherein the fracturing effectiveness parameter is used for indicating whether the oil gas yield after fracturing of the fracturing well reaches the standard.
In one possible implementation manner, the second determining module includes:
the first determining unit is used for determining energy storage parameters of the fracturing well according to the permeability parameter, the effective thickness parameter, the porosity parameter and the oil-gas saturation parameter;
The second determining unit is used for determining the fracturing oil gas yield of the fracturing well according to the energy storage parameters;
and the third determining unit is used for determining the fracturing fracture volume of the fracturing well according to the fracturing oil gas yield.
In another possible implementation manner, the first determining unit is configured to determine an energy storage parameter of the fractured well according to the permeability parameter, the effective thickness parameter, the porosity parameter, and the hydrocarbon saturation parameter through the following formula one;
Equation one:
Wherein, Representing the energy storage parameter, K representing the permeability parameter, H representing the effective thickness parameter, phi representing the porosity parameter, and S g representing the hydrocarbon saturation parameter.
In another possible implementation manner, the second determining unit is configured to determine, according to the energy storage parameter, a fracturing oil gas yield of the fracturing well through the following formula two;
Formula II:
Wherein Qg represents the production of the fracturing oil and gas, Representing the stored energy parameter.
In another possible implementation manner, the third determining unit is configured to determine, according to the fracturing oil gas yield, a fracturing fracture volume corresponding to the fracturing well through the following formula three;
and (3) a formula III:
Wherein V f represents the fracture volume and Q g represents the fracture hydrocarbon production.
In another possible implementation, the third determining module is configured to determine a length of a fracture formed in the fractured well, and determine an affected width of the fracture according to the fracture volume and the length; determining effective seepage range parameters corresponding to the fracturing well; if the effective seepage range parameter is not smaller than the influence width and the permeability recovery parameter is not smaller than a preset permeability parameter, determining the fracturing effectiveness parameter as a first parameter, wherein the first parameter is used for indicating that the oil gas yield after fracturing of the fracturing well reaches the standard; and if the effective seepage range parameter is smaller than the influence width or the permeability recovery parameter is smaller than the preset permeability parameter, determining the fracturing effectiveness parameter as a second parameter, wherein the second parameter is used for indicating that the oil gas yield after fracturing of the fracturing well does not reach the standard.
In another possible implementation, the third determining module is configured to determine a maximum production pressure differential, a formation hydrocarbon viscosity, and a production time when the fractured well is produced; determining an effective seepage range parameter corresponding to the fracturing well according to the maximum production pressure difference, the formation oil gas viscosity, the production time, the permeability parameter and the porosity parameter through the following formula IV;
Equation four:
wherein L represents the effective percolation range parameter, K represents the permeability parameter, Δp represents the maximum production pressure difference, t represents the production time, Φ represents the porosity parameter, and μ represents the formation hydrocarbon viscosity.
In another aspect, an embodiment of the present application provides a computer apparatus, including: a processor and a memory having stored therein at least one program code loaded and executed by the processor to perform the operations performed in the method of determining a frac effectiveness parameter of any one of the possible implementations described above.
In another aspect, embodiments of the present application provide a computer readable storage medium having stored therein at least one program code loaded and executed by a processor to implement operations performed in a method for determining a fracturing effectiveness parameter as described in any one of the possible implementations above.
The technical scheme provided by the embodiment of the application has the beneficial effects that at least:
The embodiment of the application provides a method for determining the fracturing effectiveness parameters, which is characterized in that the fracturing effectiveness parameters are determined according to the fracturing fracture volume and the permeability recovery parameters, and the maximum fracturing volume corresponding to the fracturing well in the fracturing stage and the maximum permeability parameter corresponding to the fracturing well in the fracturing flowback stage are parameters of the fracturing well in fracturing, namely the influences of the changes of the permeability of the fracturing well are considered from two dimensions of volume and permeability, so that the accuracy of the determined fracturing effectiveness parameters is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart illustrating a method of determining a fracture effectiveness parameter according to an exemplary embodiment;
FIG. 2 is a schematic diagram illustrating a relationship between a production of fractured oil and gas and energy storage parameters according to an exemplary embodiment;
FIG. 3 is a schematic diagram illustrating a relationship between a fracture hydrocarbon yield and a fracture volume, according to an example embodiment;
FIG. 4 is a schematic diagram illustrating a fracture volume corresponding to a first hydrocarbon reservoir of a target fractured well, according to an exemplary embodiment;
FIG. 5 is a schematic diagram illustrating a fracture volume corresponding to a second hydrocarbon reservoir of a target fractured well, according to an example embodiment;
FIG. 6 is a schematic diagram illustrating a fracture volume corresponding to a third hydrocarbon reservoir of a target fractured well, according to an example embodiment;
FIG. 7 is a block diagram illustrating a determination device of a fracture effectiveness parameter according to an exemplary embodiment;
FIG. 8 is a block diagram illustrating a determination device of a fracture effectiveness parameter according to an exemplary embodiment;
fig. 9 is a block diagram of a computer device, according to an example embodiment.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail with reference to the accompanying drawings.
FIG. 1 is a flow chart illustrating a method of determining a fracture effectiveness parameter according to an exemplary embodiment. Referring to fig. 1, the method includes:
101. The computer equipment obtains physical property parameters of the fracturing well to be determined, wherein the physical property parameters comprise permeability parameters, effective thickness parameters, porosity parameters and oil-gas saturation parameters of the fracturing well.
In one possible implementation, the computer device stores a correspondence between fracturing well identification and physical parameters; correspondingly, the method comprises the following steps: and the computer equipment determines the physical property parameters of the fracturing well to be determined corresponding to the target fracturing well identification from the stored corresponding relation between the fracturing well identification and the physical property parameters according to the target fracturing well identification of the fracturing well to be determined.
In one possible implementation, during the exploration of the fracturing well, a worker tests the permeability parameter, the effective thickness parameter, the porosity parameter and the oil-gas saturation parameter of the fracturing well to obtain the physical property parameter of the fracturing well; inputting the fracturing well identification of the fracturing well and the physical property parameters of the fracturing well into computer equipment, and carrying out associated storage on the fracturing well identification of the reservoir fracturing well and the physical property parameters of the fracturing well by the computer equipment to obtain the corresponding relation between the fracturing well identification and the physical property parameters.
Optionally, the permeability parameter represents the permeability of the fractured well, the effective thickness parameter represents the permeability of the fractured well, the porosity parameter represents the porosity of the fractured well, and the hydrocarbon saturation parameter represents the hydrocarbon saturation of the fractured well.
102. And the computer equipment determines the fracturing fracture volume corresponding to the fracturing well according to the permeability parameter, the effective thickness parameter, the porosity parameter and the oil-gas saturation parameter, wherein the fracturing fracture volume is used for representing the maximum fracturing volume corresponding to the fracturing well in the fracturing stage.
In one possible implementation, the step of determining the fracture volume corresponding to the fracture well by the computer device according to the permeability parameter, the effective thickness parameter, the porosity parameter, and the hydrocarbon saturation parameter is: the computer equipment determines the energy storage parameters of the fracturing well according to the permeability parameters, the effective thickness parameters, the porosity parameters and the oil-gas saturation parameters; determining the fracturing oil gas yield of the fracturing well according to the energy storage parameters; and determining the fracturing fracture volume of the fracturing well according to the fracturing oil gas yield.
In one possible implementation, the step of determining the energy storage parameter of the fractured well by the computer device according to the permeability parameter, the effective thickness parameter, the porosity parameter, and the oil and gas saturation parameter is: the computer equipment determines the energy storage parameters of the fracturing well according to the permeability parameters, the effective thickness parameters, the porosity parameters and the saturation parameters of the oil-gas content through the following formula I;
Equation one:
Wherein, Represents an energy storage parameter, K represents a permeability parameter, H represents an effective thickness parameter, Φ represents a porosity parameter, and S g represents an oil-gas saturation parameter.
In one possible implementation, the step of determining the production of the fracturing oil gas of the fractured well by the computer device according to the energy storage parameter is: the computer equipment determines the fracturing oil gas yield of the fracturing well according to the energy storage parameters through the following formula II;
Formula II:
wherein Q g represents the production of the fracturing oil and gas, Representing the energy storage parameter.
It should be noted that the second formula is first relation data, and the first relation data is used for representing the relation between the production of the fractured oil gas and the energy storage parameter. The fracturing oil gas yield represents the actual oil gas yield of the fracturing well during fracturing, and the energy storage parameter represents the simulated oil gas yield of the fracturing well during fracturing.
In one possible implementation, the computer device determines a relationship between the fracturing hydrocarbon production and the energy storage parameter based on the actual hydrocarbon production and the simulated hydrocarbon production of the plurality of fracturing wells at the time of fracturing, and determines the first relationship data based on the relationship.
For example, the computer device determines the relationship between the fracturing oil and gas production and the energy storage parameters according to the actual oil and gas production and the simulated oil and gas production of 56 fracturing wells of a certain tight gas field when fracturing is shown in fig. 2. Wherein, the abscissa represents the energy storage parameter of the fracturing well, and the energy storage parameter is dimensionless; the ordinate indicates the actual oil and gas production in kilowatts per day at the time of fracturing of the fractured well.
In one possible implementation, the step of determining the fracture volume of the fractured well from the production of the fractured oil gas by the computer device is: the computer equipment determines the fracturing fracture volume corresponding to the fracturing well according to the fracturing oil gas yield through the following formula III;
and (3) a formula III:
where V f represents the fracture volume and Q g represents the fracture oil and gas production.
It should be noted that, the third formula is second relation data, and the second relation data is used for representing the relation between the production of the fracturing oil gas and the fracturing fracture volume. The fracture volume represents the maximum volume of the fracture created by the fractured well at the time of fracturing.
In one possible implementation, the computer device determines a relationship between the production of the fractured hydrocarbon and the fracture volume based on the actual production of the hydrocarbon and the fracture volume of the plurality of fractured wells at the time of fracturing, and determines the second relationship data based on the relationship.
For example, the computer device determines the relationship between the production of the fracturing oil gas and the fracturing fracture volume according to the actual oil gas production and the fracturing fracture volume of 56 fracturing wells of a certain tight gas field as shown in fig. 3. The abscissa represents the actual oil gas yield of the fracturing well during fracturing, the unit is square/day, and the ordinate represents the fracturing fracture volume of the fracturing well during fracturing, the unit is square cubic meter.
In one possible implementation, the computer device determines, from the first and second relationship data, third relationship data between the fracture volume and the energy storage parameter as: Wherein V f represents the fracture volume in ten thousand cubic meters,/> And the energy storage parameters are represented, and the energy storage parameters are dimensionless.
103. And the computer equipment determines a permeability recovery parameter corresponding to the fracturing well according to the permeability parameter, wherein the permeability recovery parameter is used for representing the maximum permeability parameter corresponding to the fracturing well in the fracturing flowback stage.
The corresponding permeability recovery parameter of a fractured well is used to represent the corresponding maximum permeability of the fractured well after fracturing. It should be noted that, during fracturing of the fracturing well, the permeability of the fracturing well decreases with the increase of the surrounding fracturing fluid pressure, during flowback of the fracturing well, the pressure is slowly released, the permeability of the fracturing well increases with the decrease of the surrounding fracturing fluid pressure, and the maximum permeability of the fracturing well after recovery is the corresponding permeability recovery parameter of the fracturing well.
In one possible implementation, the step of determining, by the computer device, the permeability recovery parameter corresponding to the fractured well according to the permeability parameter is: the method comprises the steps that computer equipment obtains the fracture pressure of a stratum where a fracturing well is located, and according to the fracture pressure and the permeability parameter of the fracturing well, a corresponding first permeability parameter when the fracturing of the fracturing well is finished is determined through the following formula five; determining a permeability recovery parameter corresponding to the fracturing well according to the first permeability parameter and the fracturing pressure through the following formula six;
Formula five: K/K j＝1.784e-0.058P
Formula six: k/k i＝3.0332P-0.721
Where K represents a permeability recovery parameter, K represents a permeability parameter of the fractured well, K i represents a first permeability parameter, and P represents a fracture pressure of the formation in which the fractured well is located.
It should be noted that the fracture pressure gradient of the stratum during fracturing is generally a fixed value, and the computer equipment can determine the fracture pressure of the stratum where the fracturing well is located according to the depth of the fracturing well.
In one possible implementation, the fracture pressure gradient of the formation at the time of fracturing is 0.02MPa/m, the computer device obtains the depth of the fracture well, and determines the product of the depth of the fracture well and the fracture pressure gradient as the fracture pressure of the formation in which the fracture well is located. That is, p=0.02×t; where P represents the fracture pressure of the formation where the fracture well is located and T represents the depth of the fracture well.
104. And the computer equipment determines a fracturing effectiveness parameter corresponding to the fracturing well according to the fracturing fracture volume and the permeability recovery parameter, wherein the fracturing effectiveness parameter is used for indicating whether the oil gas yield after fracturing of the fracturing well reaches the standard.
In one possible implementation, the step of determining the fracturing effectiveness parameter corresponding to the fracturing well by the computer device according to the fracturing fracture volume and the permeability recovery parameter is as follows: the method comprises the steps that computer equipment determines the length of a crack formed in a fracturing well, and determines the influence width of the crack according to the volume and the length of the fracturing crack; determining effective seepage range parameters corresponding to the fractured well; if the effective seepage range parameter is not smaller than the influence width and the permeability recovery parameter is not smaller than the preset permeability parameter, determining the fracturing effectiveness parameter as a first parameter, wherein the first parameter is used for indicating that the oil gas yield after fracturing of the fracturing well reaches the standard; if the effective seepage range parameter is smaller than the influence width or the permeability recovery parameter is smaller than the preset permeability parameter, determining the fracturing effectiveness parameter as a second parameter, wherein the second parameter is used for indicating that the oil gas yield after fracturing of the fracturing well does not reach the standard.
In the embodiment of the present application, the numerical value of the preset permeability parameter is not particularly limited, and may be set and modified as required.
In one possible implementation, the preset permeability parameter may be determined based on actual fracturing results of the existing fracturing well. Alternatively, the predetermined permeability parameter is any value between 0.03mD and 0.09mD, for example, the predetermined permeability parameter is 0.04mD, 0.05mD, 0.06mD.
For example, the preset permeability parameter is 0.05mD. The fracturing target horizon H7 section of the A1 well has the depth of 2109-2116m, the original stratum pressure of 21MPa, the original permeability of 0.5mD and the natural gas viscosity of 0.0027mPa.s. The influence width D of the crack determined by the computer equipment through a determination method of the fracturing effectiveness parameter is 80m; the determined effective seepage range parameter L is 90m, and the determined permeability recovery value after fracturing flowback, namely the permeability recovery parameter is 0.167mD; the computer equipment determines that the effective seepage range parameter L > D and the permeability recovery value k >0.05mD, and determines that the oil and gas yield after fracturing of the fracturing well reaches the standard.
For another example, the predetermined permeability parameter is 0.05mD. The fracturing target layer of the B1 well is a T2 section, the depth is 2601-2606m, the original stratum pressure is 26MPa, the original permeability is 0.12mD, and the natural gas viscosity is 0.002mPa.s. The influence width D determined by the computer equipment through a method for determining the fracturing effectiveness parameters is 92m, the determined effective seepage range parameter L is 72m, and the determined permeability recovery value after fracturing flowback, namely the permeability recovery parameter is 0.035mD; the computer equipment determines an effective seepage range parameter L < D, a seepage rate recovery value k <0.05mD and determines that the oil gas yield after fracturing of the fractured well does not reach the standard.
In the embodiment of the application, the preset permeability parameter is determined according to the actual fracturing result of the existing fracturing well, so that the preset permeability parameter is ensured to be more close to the actual preset permeability parameter, and the accuracy of the fracturing effectiveness parameter determined according to the preset permeability parameter is improved.
In one possible implementation, the step of determining the affected width of the fracture by the computer device based on the fracture volume and the length of the fracture is: the computer equipment determines the influence width of the fracture according to the volume and the length of the fracture through the following formula seven;
formula seven: d=v f/2C
Wherein D represents the affected width of the fracture, V f represents the fracture volume, and C represents the length of the fracture.
In one possible implementation, the length of the slit is 200m, and correspondingly, the width of influence of the slit d=v f/400. Alternatively, the fracture volume is used to represent the volume of the fracture formed by the fracture, wherein the fracture volumeAccordingly, the width of the fracture formed by fracturing
In one possible implementation, the target fracturing well comprises a plurality of hydrocarbon reservoirs, each hydrocarbon reservoir having a different corresponding fracture volume, i.e., the volumes of the fractures formed upon fracturing are different.
For example, the target fracturing well corresponds to 3 hydrocarbon reservoirs, namely a first hydrocarbon reservoir, a second hydrocarbon reservoir and a third hydrocarbon reservoir; wherein the computer device determines that the fracture volume corresponding to the first hydrocarbon reservoir of the target fracture well is as shown in fig. 4; wherein the abscissa is used to represent the length of the fracture formed when the first hydrocarbon reservoir is fractured and the ordinate is used to represent the width of the fracture formed when the first hydrocarbon reservoir is fractured. The computer equipment determines the corresponding fracture volume of the second hydrocarbon reservoir of the target fracture well as shown in fig. 5; wherein the abscissa is used to represent the length of the fracture formed when the second hydrocarbon reservoir is fractured and the ordinate is used to represent the width of the fracture formed when the second hydrocarbon reservoir is fractured. The computer equipment determines the corresponding fracturing fracture volume of the third oil and gas reservoir of the target fracturing well as shown in fig. 6; wherein the abscissa is used to represent the length of the fracture formed when the third hydrocarbon reservoir is fractured and the ordinate is used to represent the width of the fracture formed when the third hydrocarbon reservoir is fractured.
In one possible implementation, the step of determining, by the computer device, the effective percolation range parameter corresponding to the fractured well is: the computer equipment determines the maximum production pressure difference, the formation oil gas viscosity and the production time during the production of the fracturing well; determining effective seepage range parameters corresponding to the fracturing well according to the maximum production pressure difference, the formation oil gas viscosity, the production time, the permeability parameters and the porosity parameters by the following formula IV;
Equation four:
wherein L represents an effective seepage range parameter, K represents a permeability parameter, deltap represents a maximum production pressure difference, t represents production time, phi represents a porosity parameter, and mu represents formation oil-gas viscosity.
Optionally, the computer equipment stores the corresponding relation between the fracturing well identification and the maximum production pressure difference and the formation oil gas viscosity; correspondingly, the computer equipment determines the maximum production pressure difference and the formation oil gas viscosity during the production of the fracturing well, and comprises the following steps: and the computer equipment determines the maximum production pressure difference and the formation oil gas viscosity of the fracturing well to be determined corresponding to the target fracturing well identification from the stored corresponding relation between the fracturing well identification and the maximum production pressure difference and the formation oil gas viscosity according to the target fracturing well identification of the fracturing well to be determined.
Wherein, the unit of the effective seepage range parameter is m, the unit of the permeability parameter is mD, the unit of the maximum production pressure difference is Mpa, the porosity parameter is Mpa, the unit of the formation oil gas viscosity is mpa.s, and the unit of the production time is s.
The embodiment of the application provides a method for determining the fracturing effectiveness parameters, which is characterized in that the fracturing effectiveness parameters are determined according to the fracturing fracture volume and the permeability recovery parameters, and the maximum fracturing volume corresponding to the fracturing well in the fracturing stage and the maximum permeability parameter corresponding to the fracturing well in the fracturing flowback stage are parameters of the fracturing well in fracturing, namely the influences of the changes of the permeability of the fracturing well are considered from two dimensions of volume and permeability, so that the accuracy of the determined fracturing effectiveness parameters is improved.
Fig. 7 is a block diagram illustrating a determination apparatus of a fracturing effectiveness parameter according to an exemplary embodiment. Referring to fig. 7, the apparatus includes:
The obtaining module 701 is configured to obtain physical property parameters of a fracturing well to be determined, where the physical property parameters include a permeability parameter, an effective thickness parameter, a porosity parameter, and an oil-gas saturation parameter of the fracturing well;
a first determining module 702, configured to determine a fracturing fracture volume corresponding to the fracturing well according to the permeability parameter, the effective thickness parameter, the porosity parameter, and the oil-gas saturation parameter, where the fracturing fracture volume is used to represent a maximum fracturing volume corresponding to the fracturing well in a fracturing stage;
A second determining module 703, configured to determine a permeability recovery parameter corresponding to the fracturing well, where the permeability recovery parameter is used to represent a maximum permeability parameter corresponding to the fracturing well in a fracturing flowback stage;
And a third determining module 704, configured to determine a fracturing effectiveness parameter corresponding to the fracturing well according to the fracturing fracture volume and the permeability recovery parameter, where the fracturing effectiveness parameter is used to indicate whether the oil and gas yield after fracturing of the fracturing well meets the standard.
In one possible implementation, the second determining module 703 includes:
a first determining unit 7031, configured to determine an energy storage parameter of the fractured well according to the permeability parameter, the effective thickness parameter, the porosity parameter, and the oil-gas saturation parameter;
a second determining unit 7032, configured to determine a fracturing oil gas yield of the fractured well according to the energy storage parameter;
third determining unit 7033 is configured to determine a fracturing fracture volume of the fracturing well according to the fracturing oil gas yield.
In another possible implementation manner, the first determining unit 7031 is configured to determine an energy storage parameter of the fracturing well according to the permeability parameter, the effective thickness parameter, the porosity parameter, and the hydrocarbon saturation parameter through the following formula one;
Equation one:
Wherein, Represents an energy storage parameter, K represents a permeability parameter, H represents an effective thickness parameter, Φ represents a porosity parameter, and S g represents an oil-gas saturation parameter.
In another possible implementation, the second determining unit 7032 is configured to determine, according to the energy storage parameter, a fracturing oil gas yield of the fracturing well by the following formula two;
Formula II:
wherein Q g represents the production of the fracturing oil and gas, Representing the energy storage parameter.
In another possible implementation manner, the third determining unit 7033 is configured to determine, according to the fracturing oil and gas yield, a fracturing fracture volume corresponding to the fracturing well through the following formula three;
and (3) a formula III:
where V f represents the fracture volume and Q g represents the fracture oil and gas production.
In another possible implementation, a third determining module 704 is configured to determine a length of a fracture formed in the fracturing well, and determine an affected width of the fracture according to the fracturing fracture volume and the length; determining effective seepage range parameters corresponding to the fractured well; if the effective seepage range parameter is not smaller than the influence width and the permeability recovery parameter is not smaller than the preset permeability parameter, determining the fracturing effectiveness parameter as a first parameter, wherein the first parameter is used for indicating that the oil gas yield after fracturing of the fracturing well reaches the standard; if the effective seepage range parameter is smaller than the influence width or the permeability recovery parameter is smaller than the preset permeability parameter, determining the fracturing effectiveness parameter as a second parameter, wherein the second parameter is used for indicating that the oil gas yield after fracturing of the fracturing well does not reach the standard.
In another possible implementation, a third determining module 704 is configured to determine a maximum production pressure differential, a formation hydrocarbon viscosity, and a production time during production of the fractured well; determining effective seepage range parameters corresponding to the fracturing well according to the maximum production pressure difference, the formation oil gas viscosity, the production time, the permeability parameters and the porosity parameters by the following formula IV;
Equation four:
wherein L represents an effective seepage range parameter, K represents a permeability parameter, deltap represents a maximum production pressure difference, t represents production time, phi represents a porosity parameter, and mu represents formation oil-gas viscosity.
The embodiment of the application provides a device for determining the fracturing effectiveness parameters, which is characterized in that the fracturing effectiveness parameters are determined according to the fracturing fracture volume and the permeability recovery parameters, and the maximum fracturing volume corresponding to the fracturing well in the fracturing stage and the maximum permeability parameter corresponding to the fracturing well in the fracturing flowback stage are parameters of the fracturing well in fracturing, namely, the influences of the changes of the permeability of the fracturing well are considered from two dimensions of volume and permeability, so that the accuracy of the determined fracturing effectiveness parameters is improved.
Fig. 9 shows a block diagram of a computer device 900 provided by an exemplary embodiment of the invention. The computer device 900 may be: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion picture expert compression standard audio plane 3), an MP4 (Moving Picture Experts Group Audio Layer IV, motion picture expert compression standard audio plane 4) player, a notebook computer, or a desktop computer. Computer device 900 may also be referred to by other names as user device, portable computer device, laptop computer device, desktop computer device, etc.
In general, the computer device 900 includes: a processor 901 and a memory 902.
Processor 901 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 901 may be implemented in at least one hardware form of DSP (DIGITAL SIGNAL Processing), FPGA (Field-Programmable gate array), PLA (Programmable Logic Array ). Processor 901 may also include a main processor, which is a processor for processing data in an awake state, also referred to as a CPU (Central Processing Unit ), and a coprocessor; a coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 901 may integrate a GPU (Graphics Processing Unit, image processor) for rendering and drawing of content required to be displayed by the display screen. In some embodiments, the processor 901 may also include an AI (ARTIFICIAL INTELLIGENCE ) processor for processing computing operations related to machine learning.
The memory 902 may include one or more computer-readable storage media, which may be non-transitory. The memory 902 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 902 is used to store at least one instruction for execution by processor 901 to implement the method of determining a fracturing effectiveness parameter provided by a method embodiment of the present application.
In some embodiments, the computer device 900 may also optionally include: a peripheral interface 903, and at least one peripheral. The processor 901, memory 902, and peripheral interface 903 may be connected by a bus or signal line. The individual peripheral devices may be connected to the peripheral device interface 903 via buses, signal lines, or circuit boards. Specifically, the peripheral device includes: at least one of radio frequency circuitry 904, a display 905, a camera 906, audio circuitry 907, positioning components 908, and a power source 909.
The peripheral interface 903 may be used to connect at least one peripheral device associated with an I/O (Input/Output) to the processor 901 and the memory 902. In some embodiments, the processor 901, memory 902, and peripheral interface 903 are integrated on the same chip or circuit board; in some other embodiments, either or both of the processor 901, the memory 902, and the peripheral interface 903 may be implemented on separate chips or circuit boards, which is not limited in this embodiment.
The Radio Frequency circuit 904 is configured to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuit 904 communicates with a communication network and other communication devices via electromagnetic signals. The radio frequency circuit 904 converts an electrical signal into an electromagnetic signal for transmission, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 904 includes: antenna systems, RF transceivers, one or more amplifiers, tuners, oscillators, digital signal processors, codec chipsets, subscriber identity module cards, and so forth. The radio frequency circuitry 904 may communicate with other computer devices via at least one wireless communication protocol. The wireless communication protocol includes, but is not limited to: metropolitan area networks, various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and/or WiFi (WIRELESS FIDELITY ) networks. In some embodiments, the radio frequency circuit 904 may further include NFC (NEAR FIELD Communication) related circuits, which is not limited by the present application.
The display 905 is used to display a UI (user interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display 905 is a touch display, the display 905 also has the ability to capture touch signals at or above the surface of the display 905. The touch signal may be input as a control signal to the processor 901 for processing. At this time, the display 905 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display 905 may be one, providing a front panel of the computer device 900; in other embodiments, the display 905 may be at least two, respectively disposed on different surfaces of the computer device 900 or in a folded design; in still other embodiments, the display 905 may be a flexible display disposed on a curved surface or a folded surface of the computer device 900. Even more, the display 905 may be arranged in an irregular pattern other than rectangular, i.e., a shaped screen. The display 905 may be made of LCD (Liquid CRYSTAL DISPLAY), OLED (Organic Light-Emitting Diode) or other materials.
The camera assembly 906 is used to capture images or video. Optionally, the camera assembly 906 includes a front camera and a rear camera. Typically, the front camera is disposed on a front panel of the computer device and the rear camera is disposed on a rear surface of the computer device. In some embodiments, the at least two rear cameras are any one of a main camera, a depth camera, a wide-angle camera and a tele camera, so as to realize that the main camera and the depth camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize a panoramic shooting and Virtual Reality (VR) shooting function or other fusion shooting functions. In some embodiments, camera assembly 906 may also include a flash. The flash lamp can be a single-color temperature flash lamp or a double-color temperature flash lamp. The dual-color temperature flash lamp refers to a combination of a warm light flash lamp and a cold light flash lamp, and can be used for light compensation under different color temperatures.
The audio circuit 907 may include a microphone and a speaker. The microphone is used for collecting sound waves of users and the environment, converting the sound waves into electric signals, and inputting the electric signals to the processor 901 for processing, or inputting the electric signals to the radio frequency circuit 904 for voice communication. For purposes of stereo acquisition or noise reduction, the microphone may be multiple, each disposed at a different location of the computer device 900. The microphone may also be an array microphone or an omni-directional pickup microphone. The speaker is used to convert electrical signals from the processor 901 or the radio frequency circuit 904 into sound waves. The speaker may be a conventional thin film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, not only the electric signal can be converted into a sound wave audible to humans, but also the electric signal can be converted into a sound wave inaudible to humans for ranging and other purposes. In some embodiments, the audio circuit 907 may also include a headphone jack.
The location component 908 is used to locate the current geographic location of the computer device 900 to enable navigation or LBS (Location Based Service, location-based services). The positioning component 908 may be a positioning component based on the United states GPS (Global Positioning System ), the Beidou system of China, the Granati system of Russia, or the Galileo system of the European Union.
The power supply 909 is used to power the various components in the computer device 900. The power supply 909 may be an alternating current, a direct current, a disposable battery, or a rechargeable battery. When the power supply 909 includes a rechargeable battery, the rechargeable battery can support wired or wireless charging. The rechargeable battery may also be used to support fast charge technology.
In some embodiments, computer device 900 also includes one or more sensors 910. The one or more sensors 910 include, but are not limited to: acceleration sensor 911, gyroscope sensor 912, pressure sensor 913, fingerprint sensor 914, optical sensor 915, and proximity sensor 916.
The acceleration sensor 911 can detect the magnitudes of accelerations on three coordinate axes of the coordinate system established by the computer device 900. For example, the acceleration sensor 911 may be used to detect components of gravitational acceleration in three coordinate axes. The processor 901 may control the display 905 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal acquired by the acceleration sensor 911. The acceleration sensor 911 may also be used for the acquisition of motion data of a game or a user.
The gyro sensor 912 may detect a body direction and a rotation angle of the computer device 900, and the gyro sensor 912 may collect a 3D motion of the user on the computer device 900 in cooperation with the acceleration sensor 911. The processor 901 may implement the following functions according to the data collected by the gyro sensor 912: motion sensing (e.g., changing UI according to a tilting operation by a user), image stabilization at shooting, game control, and inertial navigation.
The pressure sensor 913 may be disposed on a side frame of the computer device 900 and/or on an underside of the display 905. When the pressure sensor 913 is disposed on the side frame of the computer device 900, a holding signal of the computer device 900 by the user may be detected, and the processor 901 performs left-right hand recognition or quick operation according to the holding signal collected by the pressure sensor 913. When the pressure sensor 913 is provided at the lower layer of the display 905, the processor 901 performs control of the operability control on the UI interface according to the pressure operation of the user on the display 905. The operability controls include at least one of a button control, a scroll bar control, an icon control, and a menu control.
The fingerprint sensor 914 is used for collecting the fingerprint of the user, and the processor 901 identifies the identity of the user according to the fingerprint collected by the fingerprint sensor 914 or the fingerprint sensor 914 identifies the identity of the user according to the collected fingerprint. Upon recognizing that the user's identity is a trusted identity, the processor 901 authorizes the user to perform relevant sensitive operations including unlocking the screen, viewing encrypted information, downloading software, paying for and changing settings, etc. The fingerprint sensor 914 may be provided on the front, back, or side of the computer device 900. When a physical key or vendor Logo is provided on the computer device 900, the fingerprint sensor 914 may be integrated with the physical key or vendor Logo.
The optical sensor 915 is used to collect the intensity of ambient light. In one embodiment, the processor 901 may control the display brightness of the display panel 905 based on the intensity of ambient light collected by the optical sensor 915. Specifically, when the ambient light intensity is high, the display luminance of the display screen 905 is turned up; when the ambient light intensity is low, the display luminance of the display panel 905 is turned down. In another embodiment, the processor 901 may also dynamically adjust the shooting parameters of the camera assembly 906 based on the ambient light intensity collected by the optical sensor 915.
A proximity sensor 916, also referred to as a distance sensor, is typically provided on the front panel of the computer device 900. Proximity sensor 916 is used to capture the distance between the user and the front of computer device 900. In one embodiment, when the proximity sensor 916 detects that the distance between the user and the front of the computer device 900 gradually decreases, the processor 901 controls the display 905 to switch from the bright screen state to the off screen state; when the proximity sensor 916 detects that the distance between the user and the front surface of the computer device 900 gradually increases, the display 905 is controlled by the processor 901 to switch from the off-screen state to the on-screen state.
Those skilled in the art will appreciate that the architecture shown in fig. 9 is not limiting of the computer device 900, and may include more or fewer components than shown, or may combine certain components, or employ a different arrangement of components.
In an exemplary embodiment, a storage medium is also provided, e.g. a memory, comprising program code, executable by a processor of the apparatus to perform the above method. Alternatively, the storage medium may be a non-transitory computer-readable storage medium, which may be, for example, a ROM (Read-Only Memory), a RAM (Random Access Memory ), a CD-ROM (Compact Disc Read-Only Memory), a magnetic tape, a floppy disk, an optical data storage device, and the like.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
The foregoing description of the preferred embodiments of the present application is not intended to limit the application, but rather, the application is to be construed as limited to the appended claims.
Claims (8)
1. A method of determining a frac effectiveness parameter, the method comprising:
obtaining physical property parameters of a fracturing well to be determined, wherein the physical property parameters comprise permeability parameters, effective thickness parameters, porosity parameters and oil-gas saturation parameters of the fracturing well;
Determining a fracturing fracture volume corresponding to the fracturing well according to the permeability parameter, the effective thickness parameter, the porosity parameter and the oil-gas saturation parameter, wherein the fracturing fracture volume is used for representing the maximum fracturing volume corresponding to the fracturing well in a fracturing stage;
determining a permeability recovery parameter corresponding to the fracturing well according to the permeability parameter, wherein the permeability recovery parameter is used for representing a maximum permeability parameter corresponding to the fracturing well in a fracturing flowback stage;
Determining the length of a crack formed in the fracturing well, and determining the influence width of the crack according to the fracturing fracture volume and the length;
determining the maximum production pressure difference, the formation oil gas viscosity and the production time of the fractured well during production;
determining an effective seepage range parameter corresponding to the fracturing well according to the maximum production pressure difference, the formation oil gas viscosity, the production time, the permeability parameter and the porosity parameter through the following formula IV;
Equation four:
wherein L represents the effective percolation range parameter, K represents the permeability parameter, Δp represents the maximum production pressure difference, t represents the production time, Φ represents the porosity parameter, μ represents the formation hydrocarbon viscosity;
if the effective seepage range parameter is not smaller than the influence width and the permeability recovery parameter is not smaller than a preset permeability parameter, determining the fracturing effectiveness parameter as a first parameter, wherein the first parameter is used for indicating that the oil gas yield after fracturing of the fracturing well reaches the standard; if the effective seepage range parameter is smaller than the influence width or the permeability recovery parameter is smaller than the preset permeability parameter, determining that the fracturing effectiveness parameter is a second parameter, wherein the second parameter is used for indicating that the oil gas yield after fracturing of the fracturing well does not reach the standard, and the fracturing effectiveness parameter is used for indicating whether the oil gas yield after fracturing of the fracturing well reaches the standard.
2. The method of claim 1, wherein the determining the corresponding fracture volume of the fractured well based on the permeability parameter, the effective thickness parameter, the porosity parameter, and the hydrocarbon saturation parameter comprises:
Determining an energy storage parameter of the fracturing well according to the permeability parameter, the effective thickness parameter, the porosity parameter and the oil-gas saturation parameter;
determining the fracturing oil gas yield of the fracturing well according to the energy storage parameters;
and determining the fracturing fracture volume of the fracturing well according to the fracturing oil gas yield.
3. The method of claim 2, wherein the determining the energy storage parameter of the fractured well from the permeability parameter, the effective thickness parameter, the porosity parameter, and the hydrocarbon saturation parameter comprises:
determining an energy storage parameter of the fracturing well according to the permeability parameter, the effective thickness parameter, the porosity parameter and the oil-gas saturation parameter through the following formula I;
Equation one:
Wherein, Representing the energy storage parameter, K representing the permeability parameter, H representing the effective thickness parameter, phi representing the porosity parameter, and S g representing the hydrocarbon saturation parameter.
4. The method of claim 2, wherein determining the production of frac oil and gas from the frac well based on the energy storage parameter comprises:
Determining the fracturing oil gas yield of the fracturing well according to the energy storage parameters through the following formula II;
Formula II:
wherein Q g represents the fracturing oil and gas production, Representing the stored energy parameter.
5. The method of claim 2, wherein the determining the fracture volume of the fractured well from the production of the fractured hydrocarbon comprises:
Determining the fracturing fracture volume corresponding to the fracturing well according to the fracturing oil gas yield through the following formula III;
and (3) a formula III:
Wherein V f represents the fracture volume and Q g represents the fracture hydrocarbon production.
6. A device for determining a fracture effectiveness parameter, the device comprising:
the acquisition module is used for acquiring physical parameters of the fracturing well to be determined, wherein the physical parameters comprise permeability parameters, effective thickness parameters, porosity parameters and oil-gas saturation parameters of the fracturing well;
The first determining module is used for determining a fracturing fracture volume corresponding to the fracturing well according to the permeability parameter, the effective thickness parameter, the porosity parameter and the oil-gas saturation parameter, wherein the fracturing fracture volume is used for representing the maximum fracturing volume corresponding to the fracturing well in a fracturing stage;
The second determining module is used for determining a permeability recovery parameter corresponding to the fracturing well, wherein the permeability recovery parameter is used for representing a maximum permeability parameter corresponding to the fracturing well in a fracturing flowback stage;
A third determining module for determining the length of a fracture formed in the fractured well, and determining the affected width of the fracture according to the volume of the fractured fracture and the length; determining the maximum production pressure difference, the formation oil gas viscosity and the production time of the fractured well during production; determining an effective seepage range parameter corresponding to the fracturing well according to the maximum production pressure difference, the formation oil gas viscosity, the production time, the permeability parameter and the porosity parameter through the following formula IV;
Equation four:
wherein L represents the effective percolation range parameter, K represents the permeability parameter, Δp represents the maximum production pressure difference, t represents the production time, Φ represents the porosity parameter, μ represents the formation hydrocarbon viscosity;
The third determining module is further configured to determine the fracturing availability parameter as a first parameter if the effective seepage range parameter is not less than the influence width and the permeability recovery parameter is not less than a preset permeability parameter, where the first parameter is used to indicate that the oil and gas yield after fracturing of the fractured well reaches a standard; if the effective seepage range parameter is smaller than the influence width or the permeability recovery parameter is smaller than the preset permeability parameter, determining that the fracturing effectiveness parameter is a second parameter, wherein the second parameter is used for indicating that the oil gas yield after fracturing of the fracturing well does not reach the standard, and the fracturing effectiveness parameter is used for indicating whether the oil gas yield after fracturing of the fracturing well reaches the standard.
7. A computer device, the computer device comprising:
A processor and a memory having stored therein at least one program code loaded and executed by the processor to perform the operations performed in the method of determining a frac effectiveness parameter of any one of claims 1 to 5.
8. A computer readable storage medium having stored therein at least one program code loaded and executed by a processor to perform the operations performed in the method of determining a fracture effectiveness parameter of any one of claims 1 to 5.
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| Title |
|---|
| 基于物质平衡的页岩气井压裂改造裂缝体积与面积计算;杨斌;游利军;康毅力;何志君;李相臣;;天然气地球科学;20170710(07);全文 * |
| 致密砂岩气藏多层压裂改造多层产能测试评价研究;周长静;郝瑞芬;肖元相;高伟;何明舫;;油气井测试;20160425(02);全文 * |
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