CN108952676A - A kind of shale gas reservoir heterogeneity evaluation method and its device - Google Patents
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Abstract
Present description provides a kind of shale gas reservoir heterogeneity evaluation method and its devices, this method comprises: at least partly historical production data of shale gas well in acquisition research block；Based on the historical production data, the EUR of shale gas well is calculated by Production Forecast Models, the EUR of each shale gas well forms the first data set；EUR cumulative probability distribution curve is drawn according to the sequence that EUR is ascending according to the probability distribution of EUR in the first data set；EUR corresponding when cumulative probability is m and n in curve is obtained respectively, and the value of corresponding EUR is denoted as Pm and Pn respectively；And based on the ratio of Pm and Pn, heterogeneity evaluation relative standard is established, shale gas reservoir heterogeneity is evaluated.The program is can reflect the synthesis coefficient of heterogeneity (ratio of Pm and Pn) of well stimulation as shale gas reservoir heterogeneity evaluation index, and therefore, which more tallies with the actual situation.
Description
Technical field
This specification is related to a kind of shale gas reservoir heterogeneity evaluation method and its device.
Background technique
Reservoir heterogeneity refers to reservoir lithology, physical property or oil-gas possibility etc. in three-dimensional spatial distribution and its difference of variation
Property, it is divided into macroscopic heterogeneity and microheterogeneity, and macroscopic heterogeneity includes heterogeneous in interlayer, plane and layer
Property.The evaluation of conventional oil gas reservoir heterogeneity mainly based on the heterogeneity evaluation of reservoir, generally uses the variation lines of permeability
Number, coefficient and the permeability grade etc. of advancing by leaps and bounds parameters describing reservoir Heterogeneous Characteristics, above-mentioned parameter value is bigger, then reservoir heterogeneity
It is stronger.Conventional reservoir heterogeneity evaluation method is not suitable for shale gas, and main there are four reasons.First is that core permeability is tested
Strip part influences greatly, and such as conventional coring is difficult to keep prime stratum condition, water saturation, microcrack development degree and stress item
Part etc. all influences the Accurate Determining of core permeability；Second is that due to reservoir densification, gas well mostly without natural production capacity, need to pass through horizontal well
And multistage fracturing reform could obtain economic flow rate, and the effective seam for influencing permeability evaluation is long high-leveled and difficult accurately to define with seam；
Third is that gas well is chronically at linear stream mode, buildup time is long, and conventional transient well test method is also difficult to obtain accurate infiltration
Saturating rate；It fourth is that shale gas not only includes free gas, but also include adsorbed gas, the contribution of two types gas is changing in development process.By
This, has been not suitable in the method that reservoir permeability characterizes heterogeneity as evaluation parameter.
For shale gas reservoir, domestic and foreign scholars are mainly with static parameters such as stress, crack, organic carbon content and rock brittleness
For key index, shale gas reservoir heterogeneity is studied from both macro and micro, and then evaluates shale gas potentiality to be exploited.However, page
Rock gas reservoir has the characteristics that artificial oil-gas reservoir, and gas reservoir development is more increased production by horizontal well and pressure break etc. in addition to being influenced by geological conditions
Controlling measurement only considers that the heterogeneity evaluation method scene generalization of geologic(al) factor is not strong.
Summary of the invention
This specification be designed to provide a kind of shale gas reservoir heterogeneity evaluation method for considering well stimulation and
Its device.
In order to achieve the above objectives, on the one hand, present description provides a kind of shale gas reservoir heterogeneity evaluation method, the party
Method includes:
Obtain the historical production data of at least partly shale gas well in research block；
Based on the historical production data, the EUR of shale gas well, each shale gas well are calculated by Production Forecast Models
EUR form the first data set；
It is tired to draw EUR according to the sequence that EUR is ascending according to the probability distribution of EUR in first data set
Product probability distribution curve；
EUR corresponding when cumulative probability is m and n in curve is obtained respectively, wherein the value of m is 85%-95%, n's
Value is 5%-15%, and m+n=100%, the value of corresponding EUR are denoted as Pm and Pn respectively；And based on the ratio of Pm and Pn,
Heterogeneity evaluation relative standard is established, shale gas reservoir heterogeneity is evaluated.
In above-mentioned shale gas reservoir heterogeneity evaluation method, it is preferable that it is more than 1 year that the shale gas well, which makes a living into history,
Shale gas well.
In above-mentioned shale gas reservoir heterogeneity evaluation method, it is preferable that it is more than 3 years that the shale gas well, which makes a living into history,
Shale gas well.
In above-mentioned shale gas reservoir heterogeneity evaluation method, it is preferable that calculate page by Production Forecast Models described
It further include being screened to shale gas well in the EUR step of rock gas well, the step of with exclusive PCR well.
In above-mentioned shale gas reservoir heterogeneity evaluation method, it is preferable that the Production Forecast Models are power function model.
In above-mentioned shale gas reservoir heterogeneity evaluation method, it is preferable that the Production Forecast Models are power function model
When, index when screening to shale gas well includes: fitting coefficient square R2Greater than 0.8；Power decline exponent b is -1 to 0.
In above-mentioned shale gas reservoir heterogeneity evaluation method, it is preferable that the value that the value of m is 90%, n is 10%
When, according to the heterogeneity evaluation criterion of the ratio of Pm and Pn foundation are as follows:
It is homogeneous when Pm/Pn < 3；
It is weak heterogeneous when 3≤Pm/Pn < 5；
It is medium heterogeneous when 5≤Pm/Pn < 7；
It is strong heterogeneous when Pm/Pn >=7.
On the other hand, this specification additionally provides a kind of shale gas reservoir heterogeneity evaluating apparatus, which includes:
First module, first module are used to obtain the history production number of at least partly shale gas well in research block
According to；
Second module, second module are used for based on the historical production data, pass through Production Forecast Models meter
The EUR of shale gas well is calculated, the EUR of each shale gas well forms the first data set；
Third module, the third module are used for the probability distribution according to EUR in first data set, according to
EUR ascending sequence draws EUR cumulative probability distribution curve；
4th module, the 4th module are used to obtain EUR corresponding when cumulative probability is m and n in curve respectively,
In, the value of m is 85%-95%, and the value of n is 5%-15%, and m+n=100%, the value of corresponding EUR be denoted as respectively Pm and
Pn；And based on the ratio of Pm and Pn, heterogeneity evaluation relative standard is established, shale gas reservoir heterogeneity is commented
Valence.
In above-mentioned shale gas reservoir heterogeneity evaluating apparatus, it is preferable that in first module, the shale gas well
To generate the shale gas well that history is more than 1 year.
In above-mentioned shale gas reservoir heterogeneity evaluating apparatus, it is preferable that in first module, the shale gas well
To generate the shale gas well that history is more than 3 years.
In above-mentioned shale gas reservoir heterogeneity evaluating apparatus, it is preferable that in second module, pass through production forecast
Model calculates in the EUR step of shale gas well, further includes screening to shale gas well, the step of with exclusive PCR well.
In above-mentioned shale gas reservoir heterogeneity evaluating apparatus, it is preferable that in second module, the production forecast
Model is power function model.
In above-mentioned shale gas reservoir heterogeneity evaluating apparatus, it is preferable that in second module, the production forecast
When model is power function model, index when screening to shale gas well includes: fitting coefficient square R2Greater than 0.8；Power is passed
Subtracting index b is -1 to 0.
In above-mentioned shale gas reservoir heterogeneity evaluating apparatus, it is preferable that in the 4th module, the value of m is
The value of 90%, n are 10%；The heterogeneity evaluation criterion established according to the ratio of Pm and Pn are as follows:
It is homogeneous when Pm/Pn < 3；
It is weak heterogeneous when 3≤Pm/Pn < 5；
It is medium heterogeneous when 5≤Pm/Pn < 7；
It is strong heterogeneous when Pm/Pn >=7.
The above scheme that this specification provides, propose it is a kind of can reflect well stimulation synthesis coefficient of heterogeneity (Pm with
The ratio of Pn) scheme as shale gas reservoir heterogeneity evaluation index, so that evaluation result more tallies with the actual situation.Moreover,
Since its EUR can be predicted in the production history by gas well, data acquisition is easy.
Detailed description of the invention
It, below will be to embodiment party in order to illustrate more clearly of this specification embodiment or technical solution in the prior art
Formula or attached drawing needed to be used in the description of the prior art are briefly described, it should be apparent that, the accompanying drawings in the following description is only
It is only some embodiments recorded in this specification, for those of ordinary skill in the art, is not paying creative labor
Under the premise of dynamic property, it is also possible to obtain other drawings based on these drawings.In the accompanying drawings:
Fig. 1 is shale gas reservoir heterogeneity evaluation method flow chart in a kind of embodiment of this specification；
Fig. 2 is the distribution situation figure in the section EUR in a kind of embodiment of this specification；
Fig. 3 is the cumulative probability distribution curve figure of individual well EUR in a kind of embodiment of this specification；
Fig. 4 is global shale gas main producing region P in a kind of embodiment of this specification90%/P10%Statistical value chart；
Fig. 5 is Barnett and Haynesville shale gas producing region production history curve in a kind of embodiment of this specification
Figure；
Fig. 6 is shale gas well monthly output history matching curve graph in a kind of embodiment of this specification；
Fig. 7 is that Barnett and Haynesville shale gas producing region gas well EUR is accumulative in a kind of embodiment of this specification
Probability distribution curve figure.
Specific embodiment
In order to make those skilled in the art better understand the technical solutions in the application, below in conjunction with the application reality
The attached drawing in mode is applied, the technical solution in the application embodiment is clearly and completely described, it is clear that described
Embodiment is only a part of embodiment of the application, rather than whole embodiments.Based on the embodiment party in the application
Formula, every other embodiment obtained by those of ordinary skill in the art without making creative efforts, is all answered
When the range for belonging to the application protection.
Refering to what is shown in Fig. 1, shale gas reservoir heterogeneity evaluation method includes in a kind of embodiment that this specification provides
Following steps:
S1, the historical production data for obtaining at least partly shale gas well in research block；
S2, based on historical production data, pass through Production Forecast Models calculate shale gas well EUR, each shale gas well
EUR form the first data set；
S3, it is tired to be drawn according to the sequence that EUR is ascending according to the probability distribution of EUR in the first data set by EUR
Product probability distribution curve；
S4, EUR corresponding when cumulative probability is m and n in curve is obtained respectively, wherein the value of m is 85%-95%,
The value of n is 5%-15%, and m+n=100%, the value of corresponding EUR are denoted as Pm and Pn respectively；And using the ratio of Pm and Pn as base
Plinth is established heterogeneity evaluation relative standard, is evaluated shale gas reservoir heterogeneity.
In S1 step, for the heterogeneity of more comprehensive evaluation study block reservoir, best selection as much as possible
Gas well is as research object.It certainly, can be according to reality according to the production of shale gas well and the difference of distribution situation in research block
Border situation determines basis of the shale gas well of suitable quantity and position as Index Establishment, alternatively, by screening index appropriate,
Shale gas well is screened, further using the shale gas well that filters out as the basis of Index Establishment.The one of this specification
In a little embodiments, to study all gas wells of block as research object.
In some embodiments of this specification, based on the productive prospecting of shale gas well, chooses and be in production decline period
Basis of the shale gas well as Index Establishment.In general, the generation history of shale gas well is more than 1 year, enter substantially
The boundary Control stream stage has more stable production decline law.In some preferred embodiments, it is more than 3 years that selection, which generates history,
Shale gas well, production decline law at this time is more stable, and recoverable reserves recovery percent of reserves is generally more than 50%, and the EUR of prediction is more
Accurately.
In some embodiments of this specification, the historical production data of shale gas well can be the yield of gas well with life
Produce the data of time change；For example, monthly output is with production time delta data, the daily output with production time delta data etc..?
In some preferred embodiments of this specification, using monthly output with production time delta data.
In S2 step, based on the historical production data of each shale gas well, it can be calculated by Production Forecast Models
The EUR of the EUR of shale gas well, each shale gas well form the first data set.Production Forecast Models can be that page is directed in this field
The common model of rock gas well EUR prediction.In some preferred embodiments that this specification provides, Production Forecast Models are power letter
Exponential model, i.e. y=axb。
In some embodiments of this specification, in the EUR step for calculating shale gas well by Production Forecast Models,
Shale gas well can also be screened simultaneously, with exclusive PCR well.In some preferred embodiments of this specification, yield
When prediction model is power function model, index when screening to shale gas well includes: fitting coefficient square R2Greater than 0.8；
Power decline exponent b is -1 to 0.
In the S3 step, it is drawn according to the probability distribution of EUR in the first data set according to the sequence that EUR is ascending
EUR cumulative probability distribution curve processed.For each shale gas well, an EUR is respectively corresponded, after these EUR are arranged from small to large,
The probability distribution of EUR can be obtained.In an embodiment of this specification, to Fayetteville, (U.S. is important
One of shale gas producing region) in 4508 mouthfuls of wells progress EUR statistics of 2008-2014, obtain the first data set.It will be in the first data set
EUR arrange after, set certain section EUR (2000), depict the probability distribution graph of EUR (see Fig. 2).Further,
On the basis of the probability distribution of EUR, the cumulative probability distribution of EUR is calculated, it is bent that the distribution of EUR cumulative probability can be drawn out
Line.In an embodiment of this specification, according to EUR cumulative probability distribution curve such as Fig. 3 of data drafting in Fig. 1.
In S4 step, Pm and Pn can be obtained according to EUR cumulative probability distribution curve, using the ratio of Pm and Pn as base
Plinth can establish heterogeneity evaluation relative standard, evaluate shale gas reservoir heterogeneity.In concrete application, evaluation index
It can directly be the ratio of Pm and Pn, or based on the ratio of Pm and Pn, converted, or passed through by mathematical method
The optimizing index that the methods of setting ratio coefficient obtains.In some embodiments of this specification, directly adopt Pm's and Pn
Ratio is as evaluation index.
In some embodiments of this specification, it is determined that after evaluation index, existing heterogeneous data can counted
On the basis of, suitable heterogeneity evaluation relative standard is established, which can reflect the relatively heterogeneous size of reservoir.
In some embodiments of this specification, when the value that the value of m is 90%, n is 10%, it is general that Pm represents accumulation
Rate is EUR corresponding to 90%, indicates that 10% gas well EUR is higher than Pm；Pn represents cumulative probability as corresponding to 10%
EUR indicates that 90% gas well EUR is higher than Pn.We to global shale gas main producing region (substantially North America producing region, including
Barnett, Fayetteville, Haynesvill, Marcellus, Eagleford, basic all standing, are detailed in Fig. 4, come from:
EIA report, Brad Berg research achievement (2013)) carry out investigation statistics, P90%/P10%Between 1-11, concentrate on
Between 1-9, four sections are divided into using rule is divided equally based on this.That is, being evaluated according to the heterogeneity that the ratio of Pm and Pn is established
Relative standard are as follows: be homogeneous when Pm/Pn < 3；It is weak heterogeneous when 3≤Pm/Pn < 5；It is medium non-equal when 5≤Pm/Pn < 7
Matter；It is strong heterogeneous when Pm/Pn >=7.When taking other values for Pm and Pn, it can refer to aforesaid way and establish heterogeneity evaluation phase
To standard.
Although procedures described above process includes the multiple operations occurred with particular order, it should however be appreciated that understand,
These processes may include more or fewer operations, these operations can be executed sequentially or be executed parallel (such as using parallel
Processor or multi-thread environment).
One illustrative embodiments of this specification are described below, with develop mature shale gas producing region Barnett and
For Haynesville, heterogeneity is evaluated, comprising the following steps:
S101, the statistics area Liang Geqi total output and gas well production history (see Fig. 5)；
S201, using power function fitting have 3 years or more production histories gas well liquid loading data, obtain fitting coefficient R and
Power function decline exponent b (see Fig. 6)；Statistics meets R2EUR greater than 0.8, power decline exponent b gas well between -1 to 0 is big
It is small, obtain the first data set；
S301, EUR is drawn according to the sequence that EUR is ascending according to the probability distribution of EUR in the first data set
Cumulative probability distribution curve (see Fig. 7)；
S401, reading EUR accumulated probability reaches 90% and 10% corresponding gas well on EUR cumulative probability distribution curve
EUR, i.e. Pm and Pn size, and calculate the comprehensive coefficient of heterogeneity Pm/Pn of shale gas reservoir.It is commented according to the heterogeneity that Pm/Pn is established
Price card is quasi- are as follows: is homogeneous when Pm/Pn < 3；It is weak heterogeneous when 3≤Pm/Pn < 5；It is medium heterogeneous when 5≤Pm/Pn < 7；
It is strong heterogeneous when Pm/Pn >=7.Shale gas reservoir heterogeneity is evaluated according to the above standard.Evaluation results are shown in Table 1.
1 two shale gas producing region gas well EUR sizes of table and comprehensive coefficient of heterogeneity
Data source: gas well number and gas well yield history derive from WoodMackzine database
By 1 result of table it is found that Barnett integrate coefficient of heterogeneity 6.66, belong to it is medium heterogeneous, and
Haynesville integrates coefficient of heterogeneity 4.66, and to be weak heterogeneous, the former is better than the latter at heterogeneity, these understanding and gas reservoir
It is also almost the same that development behavior recognizes conclusion.
Comparison based on two shale gas producing region reserves and production capacity Dominated Factors is shown in Table 2.
The residual water comparison of 2 Barnett and Haynesville shale producing region main geologic of table
Data source: Woodmackzine and C&C Reservior database and petroleum industry publishing house " North America allusion quotation
Type shale Reservoir Development mode and technology ".
By 2 result of table it is found that the shale gas heterogeneity evaluation method based on EUR with based on conventional heterogeneity evaluation side
The evaluation result of method is consistent, and new method is effective, can instruct shale gas classification development.
This specification embodiment provide shale gas reservoir heterogeneity evaluating apparatus include:
First module, the first module are used to obtain in research block at least partly historical production data of shale gas well；
Second module, the second module are used for based on historical production data, calculate shale gas by Production Forecast Models
The EUR of the EUR of well, each shale gas well form the first data set；
Third module, third module are used for according to the probability distribution of EUR in the first data set, according to EUR by it is small to
Big sequence draws EUR cumulative probability distribution curve；
4th module, the 4th module are used to obtain EUR corresponding when cumulative probability is m and n in curve respectively, wherein m
Value be 85%-95%, the value of n is 5%-15%, and m+n=100%, the value of corresponding EUR are denoted as Pm and Pn respectively；And
Based on the ratio of Pm and Pn, heterogeneity evaluation relative standard is established, shale gas reservoir heterogeneity is evaluated.
In some embodiments of this specification, in the first module, shale gas well makes a living into the page that history is more than 1 year
Rock gas well.
In some embodiments of this specification, in the first module, shale gas well makes a living into the page that history is more than 3 years
Rock gas well.
In some embodiments of this specification, in the second module, shale gas well is calculated by Production Forecast Models
EUR step in, further include being screened to shale gas well, the step of with exclusive PCR well.
In some embodiments of this specification, in the second module, the Production Forecast Models are power function model.
It is right when Production Forecast Models are power function model in the second module in some embodiments of this specification
Index when shale gas well is screened includes: fitting coefficient square R2Greater than 0.8；Power decline exponent b is -1 to 0.
In some embodiments of this specification, in the 4th module, the value that the value of m is 90%, n is 10%；
The heterogeneity evaluation criterion established according to the ratio of Pm and Pn are as follows:
It is homogeneous when Pm/Pn < 3；It is weak heterogeneous when 3≤Pm/Pn < 5；It is medium heterogeneous when 5≤Pm/Pn < 7；
It is strong heterogeneous when Pm/Pn >=7.
Since the principle that the device solves the problems, such as is similar to shale gas reservoir heterogeneity evaluation method, shale gas reservoir
The implementation of heterogeneity evaluating apparatus may refer to determine the implementation of shale gas reservoir heterogeneity evaluation method, repeat place no longer
It repeats.
For convenience of description, it is divided into various units when description apparatus above with function to describe respectively.Certainly, implementing this
The function of each unit can be realized in the same or multiple software and or hardware when specification.
This specification is referring to the method, equipment (system) and computer program product according to this specification embodiment
Flowchart and/or the block diagram describes.It should be understood that can be realized by computer program instructions every in flowchart and/or the block diagram
The combination of process and/or box in one process and/or box and flowchart and/or the block diagram.It can provide these computers
Processor of the program instruction to general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices
To generate a machine, so that generating use by the instruction that computer or the processor of other programmable data processing devices execute
In the dress for realizing the function of specifying in one or more flows of the flowchart and/or one or more blocks of the block diagram
It sets.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net
Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/or
The forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable medium
Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM),
Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices
Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates
Machine readable medium does not include temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
It include so that the process, method, commodity or the equipment that include a series of elements not only include those elements, but also to wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including described want
There is also other identical elements in the process, method of element, commodity or equipment.
It will be understood by those skilled in the art that the embodiment of this specification can provide as the production of method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or implementation combining software and hardware aspects can be used in this specification
The form of example.Moreover, it wherein includes the computer of computer usable program code that this specification, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
This specification can describe in the general context of computer-executable instructions executed by a computer, such as journey
Sequence module.Generally, program module include routines performing specific tasks or implementing specific abstract data types, programs, objects,
Component, data structure etc..This specification can also be practiced in a distributed computing environment, in these distributed computing environment
In, by executing task by the connected remote processing devices of communication network.In a distributed computing environment, program module
It can be located in the local and remote computer storage media including storage equipment.
All the embodiments in this specification are described in a progressive manner, same and similar portion between each embodiment
Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for system reality
For applying example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to embodiment of the method
Part explanation.
The foregoing is merely the embodiments of this specification, are not limited to this specification.For art technology
For personnel, this specification can have various modifications and variations.It is all made any within the spirit and principle of this specification
Modification, equivalent replacement, improvement etc., should be included within the scope of the claims of this specification.
Claims (10)
1. a kind of shale gas reservoir heterogeneity evaluation method, which is characterized in that this method comprises:
Obtain the historical production data of at least partly shale gas well in research block；
Based on the historical production data, the EUR of shale gas well is calculated by Production Forecast Models, each shale gas well
EUR forms the first data set；
It is general to draw EUR accumulation according to the sequence that EUR is ascending according to the probability distribution of EUR in first data set
Rate distribution curve；
EUR corresponding when cumulative probability is m and n in curve is obtained respectively, wherein the value of m is 85%-95%, the value of n
For 5%-15%, and m+n=100%, the value of corresponding EUR are denoted as Pm and Pn respectively；And based on the ratio of Pm and Pn, establish
Heterogeneity evaluates relative standard, evaluates shale gas reservoir heterogeneity.
2. shale gas reservoir heterogeneity evaluation method according to claim 1, which is characterized in that the shale gas well is made a living
It is more than 1 year shale gas well at history；Preferably generate the shale gas well that history is more than 3 years.
3. shale gas reservoir heterogeneity evaluation method according to claim 1, which is characterized in that described pre- by yield
It surveys model to calculate in the EUR step of shale gas well, further includes being screened to shale gas well, the step of with exclusive PCR well.
4. shale gas reservoir heterogeneity evaluation method according to claim 3, which is characterized in that the Production Forecast Models
For power function model；
Preferably, index when screening to shale gas well includes:
Fitting coefficient square R2Greater than 0.8；
Power decline exponent b is -1 to 0.
5. shale gas reservoir heterogeneity evaluation method according to claim 1, which is characterized in that the value of m is 90%, n
Value be 10% when, according to the ratio of Pm and Pn establish heterogeneity evaluation criterion are as follows:
It is homogeneous when Pm/Pn < 3；
It is weak heterogeneous when 3≤Pm/Pn < 5；
It is medium heterogeneous when 5≤Pm/Pn < 7；
It is strong heterogeneous when Pm/Pn >=7.
6. a kind of shale gas reservoir heterogeneity evaluating apparatus, which is characterized in that the device includes:
First module, first module are used to obtain in research block at least partly historical production data of shale gas well；
Second module, second module are used for based on the historical production data, calculate page by Production Forecast Models
The EUR of the EUR of rock gas well, each shale gas well form the first data set；
Third module, the third module are used for according to the probability distribution of EUR in first data set, according to EUR by
It is small to arrive big sequence, draw EUR cumulative probability distribution curve；
4th module, the 4th module are used to obtain EUR corresponding when cumulative probability is m and n in curve respectively, wherein m
Value be 85%-95%, the value of n is 5%-15%, and m+n=100%, the value of corresponding EUR are denoted as Pm and Pn respectively；And
Based on the ratio of Pm and Pn, heterogeneity evaluation relative standard is established, shale gas reservoir heterogeneity is evaluated.
7. shale gas reservoir heterogeneity evaluating apparatus according to claim 6, which is characterized in that in first module
In, the shale gas well makes a living into the shale gas well that history is more than 1 year；Preferably generate the shale gas well that history is more than 3 years.
8. shale gas reservoir heterogeneity evaluating apparatus according to claim 6, which is characterized in that in second module
In, it further include being screened to shale gas well in the EUR step by Production Forecast Models calculating shale gas well, it is dry to exclude
The step of disturbing well.
9. shale gas reservoir heterogeneity evaluating apparatus according to claim 6, which is characterized in that in second module
In, the Production Forecast Models are power function model；
Preferably, index when screening to shale gas well includes:
Fitting coefficient square R2Greater than 0.8；
Power decline exponent b is -1 to 0.
10. shale gas reservoir heterogeneity evaluating apparatus according to claim 6, which is characterized in that in the 4th module
In, the value that the value of m is 90%, n is 10%；The heterogeneity evaluation criterion established according to the ratio of Pm and Pn are as follows:
It is homogeneous when Pm/Pn < 3；
It is weak heterogeneous when 3≤Pm/Pn < 5；
It is medium heterogeneous when 5≤Pm/Pn < 7；
It is strong heterogeneous when Pm/Pn >=7.
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