CN110046414A - The Reservoir Parameter Models construction method and equipment of advantage seepage flow section for identification - Google Patents
The Reservoir Parameter Models construction method and equipment of advantage seepage flow section for identification Download PDFInfo
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- 238000010276 construction Methods 0.000 title claims abstract description 22
- 239000011148 porous material Substances 0.000 claims abstract description 68
- 239000011435 rock Substances 0.000 claims abstract description 60
- 230000035699 permeability Effects 0.000 claims abstract description 53
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 32
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 27
- 238000000034 method Methods 0.000 claims abstract description 19
- QSHDDOUJBYECFT-UHFFFAOYSA-N mercury Chemical compound [Hg] QSHDDOUJBYECFT-UHFFFAOYSA-N 0.000 claims abstract description 18
- 229910052753 mercury Inorganic materials 0.000 claims abstract description 18
- 239000008398 formation water Substances 0.000 claims abstract description 15
- 230000005251 gamma ray Effects 0.000 claims abstract description 15
- 238000003860 storage Methods 0.000 claims description 11
- 238000004891 communication Methods 0.000 claims description 10
- 230000001052 transient effect Effects 0.000 claims description 4
- 230000005611 electricity Effects 0.000 claims 1
- 239000003129 oil well Substances 0.000 description 6
- 230000000875 corresponding effect Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 239000012530 fluid Substances 0.000 description 4
- 238000009738 saturating Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 241000208340 Araliaceae Species 0.000 description 2
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 2
- 235000003140 Panax quinquefolius Nutrition 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 235000008434 ginseng Nutrition 0.000 description 2
- 230000035515 penetration Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000002427 irreversible effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 239000004575 stone Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
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Abstract
The embodiment of the invention provides the Reservoir Parameter Models construction methods and equipment of a kind of advantage seepage flow section for identification.The described method includes: obtaining nature gamma-phase according to natural gamma ray logging value and obtaining the shale content of reservoir in conjunction with formation capacity to value;According to interval transit time value, porosity is obtained;According to lithology factor, formation water resistivity, formation resistivity and the porosity, water saturation is obtained;According to mercury saturation degree, pore radius is obtained in conjunction with rock permeability and obtains pore throat radius;Shale content, porosity, water saturation, rock permeability and the pore throat radius of the reservoir, collectively form the Reservoir Parameter Models;Wherein, the rock permeability is fixed constant for any one rock.The Reservoir Parameter Models construction method and equipment of the seepage flow section of advantage for identification provided in an embodiment of the present invention, can be under the premise of not depending on artificial, accurate effective, the objective reservoir parameter for obtaining advantage seepage flow section for identification in real time.
Description
Technical field
The present embodiments relate to technical field of geological exploration, more particularly to a kind of reservoir of advantage seepage flow section for identification
Parameter model construction method and equipment.
Background technique
Oil field development is a hidden engineering, has the characteristics that high investment, high production, high risk and irreversible
Property.Oil well numerical simulation is the technical way for digitizing oil reservoir, finding oil sources, predicting advantage seepage flow section, in oil field development
It is middle to play particularly important effect.In recent years, goed deep into oil field development, most oilfields all enter high water-cut stage
And ultra-high water cut stage, remaining oil distribution is increasingly scattered, complicated, and reservoir numerical simulation is increasingly aobvious to the identification effect of advantage seepage flow section
It is existing.Reservoir parameter plays the role of vital for whether there is advantage seepage flow section in identification oil well.Presently relevant technology
Scheme mainly still predicts the acquisition of reservoir parameter by artificial experience, or uses similar with oil well geological state to be surveyed
The ready-made reservoir parameter of oil well diverted, to obtain the reservoir parameter of target oil well advantage seepage flow section for identification.Before
Person is due to needing by artificial experience, so time-consuming and laborious take manually, and there is also artificial uncertain factors;The latter by
In being only to apply similar reservoir parameter, then there are problems that accurately predicting oil well advantage seepage flow section.Based on this
Understanding, finding one kind can be objective effective, and with the reservoir parameter acquisition methods of degree of precision identification advantage seepage flow section, just becomes
The technical issues of industry extensive concern.
Summary of the invention
In view of the above-mentioned problems existing in the prior art, the embodiment of the invention provides a kind of advantage seepage flow sections for identification
Reservoir Parameter Models construction method and equipment.
In a first aspect, the embodiment provides a kind of Reservoir Parameter Models buildings of advantage seepage flow section for identification
Method, comprising: according to natural gamma ray logging value, obtain nature gamma-phase to value, in conjunction with formation capacity, the shale for obtaining reservoir contains
Amount;According to interval transit time value, porosity is obtained;According to lithology factor, formation water resistivity, formation resistivity and the hole
Degree obtains water saturation;According to mercury saturation degree, pore radius is obtained in conjunction with rock permeability and obtains pore throat radius;Institute
Shale content, porosity, water saturation, rock permeability and the pore throat radius for stating reservoir, collectively form the reservoir parameter
Model;Wherein, the rock permeability is fixed constant for any one rock.
Further, described according to natural gamma ray logging value, it obtains nature gamma-phase and value is obtained in conjunction with formation capacity
The shale content of reservoir, comprising:
Wherein, V' is natural gamma relative value;GR is natural gamma ray logging value;GRminFor natural gamma minimum value;GRmax
For natural gamma maximum value;VshFor the shale content of reservoir;C is formation capacity.
Further, described according to interval transit time value, obtain porosity, comprising:
Φ=0.155*AC-44.092
Wherein, AC is interval transit time value;Φ is porosity.
Further, described to be contained according to lithology factor, formation water resistivity, formation resistivity and the porosity, acquisition
Water saturation, comprising:
Wherein, SwFor water saturation;N is saturation exponent;A and b is lithology factor;Rw is formation water resistivity;RtFor
Formation resistivity;M is rock cementation factor.
It is further, described to obtain pore radius according to mercury saturation degree in conjunction with rock permeability and obtain pore throat radius,
If including: that the mercury saturation degree reaches 50%, corresponding pore radius is obtained;The pore radius is seeped with the rock
Saturating rate is directly proportional, and the rock permeability is directly proportional to the pore throat radius.
Second aspect, the embodiment provides a kind of Reservoir Parameter Models buildings of advantage seepage flow section for identification
Device, comprising:
Reservoir parameter obtains module, for according to natural gamma ray logging value, obtaining nature gamma-phase to value, series of strata in combination
Number, obtains the shale content of reservoir;According to interval transit time value, porosity is obtained;According to lithology factor, formation water resistivity,
Layer resistivity and the porosity obtain water saturation;According to mercury saturation degree, pore radius is obtained, in conjunction with rock permeability
Rate obtains pore throat radius;
Reservoir Parameter Models construct module, seep for the shale content of the reservoir, porosity, water saturation, rock
Saturating rate and pore throat radius, collectively form the Reservoir Parameter Models;
Wherein, the rock permeability is fixed constant for any one rock.
The third aspect, the embodiment provides a kind of electronic equipment, comprising:
At least one processor;And
At least one processor being connect with processor communication, in which:
Memory is stored with the program instruction that can be executed by processor, and the instruction of processor caller is able to carry out first party
The reservoir of advantage seepage flow section for identification provided by any possible implementation in the various possible implementations in face
Parameter model construction method.
Fourth aspect, the embodiment provides a kind of non-transient computer readable storage medium, non-transient calculating
Machine readable storage medium storing program for executing stores computer instruction, and computer instruction makes the various possible realization sides of computer execution first aspect
The Reservoir Parameter Models construction method of advantage seepage flow section for identification provided by any possible implementation in formula.
The Reservoir Parameter Models construction method and equipment of the seepage flow section of advantage for identification provided in an embodiment of the present invention, pass through
Shale content, porosity, water saturation, rock permeability and the pore throat radius of reservoir are obtained, and then establishes reservoir parameter mould
Type, can be under the premise of not depending on artificial, accurate effective, the objective reservoir ginseng for obtaining advantage seepage flow section for identification in real time
Number.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to do a simple introduction, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the Reservoir Parameter Models construction method process of the seepage flow section of advantage for identification provided in an embodiment of the present invention
Figure;
Fig. 2 is pore throat radius provided in an embodiment of the present invention and permeability relation schematic diagram;
Fig. 3 is that the Reservoir Parameter Models construction device structure of the seepage flow section of advantage for identification provided in an embodiment of the present invention is shown
It is intended to;
Fig. 4 is the entity structure schematic diagram of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.In addition,
Technical characteristic in each embodiment or single embodiment provided by the invention can mutual any combination, to form feasible skill
Art scheme, but must be based on can be realized by those of ordinary skill in the art, when the combination of technical solution occur it is mutual
Contradiction or when cannot achieve, it will be understood that the combination of this technical solution is not present, also not the present invention claims protection scope
Within.
The embodiment of the invention provides a kind of Reservoir Parameter Models construction methods of advantage seepage flow section for identification, referring to figure
1, this method comprises:
101, it according to natural gamma ray logging value, obtains nature gamma-phase and the shale of reservoir is obtained in conjunction with formation capacity to value
Content;According to interval transit time value, porosity is obtained;According to lithology factor, formation water resistivity, formation resistivity and the hole
Degree obtains water saturation;According to mercury saturation degree, pore radius is obtained in conjunction with rock permeability and obtains pore throat radius;
102, the shale content of the reservoir, porosity, water saturation, rock permeability and pore throat radius, common structure
At the Reservoir Parameter Models.
Wherein, the rock permeability is fixed constant for any one rock.
On the basis of the above embodiments, the reservoir parameter of the seepage flow section of advantage for identification provided in the embodiment of the present invention
Model building method, it is described according to natural gamma ray logging value, it obtains nature gamma-phase and reservoir is obtained in conjunction with formation capacity to value
Shale content, comprising:
Wherein, V' is natural gamma relative value;GR is natural gamma ray logging value;GRminFor natural gamma minimum value;GRmax
For natural gamma maximum value;VshFor the shale content of reservoir;C is formation capacity.For old stratum, c=2, the Tertiary Period
Layer c=3.7 still takes c=3.7, finds out accurate V even if research area belongs to Cretaceous period argillaceous sandstone stratumsh.Shale content
VshIt is an important formation parameter, especially when evaluating muddy ore.Shale content, which can not only be sent out, reflects lithology,
It can reflect many situations on stratum, such as effecive porosity, permeability, water saturation parameter.If stratum contains shale, or
It is more or it is few overwhelming majority well logging can all be had an impact, when evaluating many situations of reservoir, will use shale content this
A parameter.It is difficult only accurately to evaluate stratum shale content using a kind of logging method during comprehensive log interpretation, this is
Because of many different factor collective effects of shale content.
On the basis of the above embodiments, the reservoir parameter of the seepage flow section of advantage for identification provided in the embodiment of the present invention
Model building method, it is described according to interval transit time value, obtain porosity, comprising:
Φ=0.155*AC-44.092
Wherein, AC is interval transit time value;Φ is porosity.Porosity is the important indicator that reservoir preserves ability, storage
Layer explains that standing in the breach for task is exactly accurately to determine the parameter.Our warps of porosity calculation are close frequently with interval transit time, lithology
One or several combination in degree, compensated neutron log curve.But due to only studying block in the case where acoustic logging
Therefore porosity logging method can only establish the empirical relation formula of core analysis porosity and interval transit time and density data.
The porosity of reservoir is sought with this.
On the basis of the above embodiments, the reservoir parameter of the seepage flow section of advantage for identification provided in the embodiment of the present invention
Model building method, it is described according to lithology factor, formation water resistivity, formation resistivity and the porosity, it obtains aqueous full
And degree, comprising:
Wherein, SwFor water saturation;N is saturation exponent;A and b is lithology factor;RwFor formation water resistivity;RtFor
Formation resistivity;M is rock cementation factor.The determination of water saturation is the another item background task for evaluating reservoir.Many moneys
Material all can provide relevant information to reservoir saturation degree, but from the point of view of current research real current situation, it is most popular to be
Saturation degree is evaluated with rock-electric test and resistivity.For clean sandstone water layer, when changing porosity, 100%
Aqueous sandstone resistivity RoWith formation water resistivity RwRatio Ro/RwFor a constant, F is known as formation factor, it and porosity close
System indicates are as follows:
SwCalculating be to pass through R firsttWith pure water layer R under the conditions of identical porosityoRatio I, it be referred to as resistance increase
Rate, then I=b/Sn W, then can useIt is calculated.
On the basis of the above embodiments, the reservoir parameter of the seepage flow section of advantage for identification provided in the embodiment of the present invention
Model building method, it is described according to mercury saturation degree, pore radius is obtained in conjunction with rock permeability and obtains pore throat radius, is wrapped
It includes: if the mercury saturation degree reaches 50%, obtaining corresponding pore radius;The pore radius, with the rock permeability
Rate is directly proportional, and the rock permeability is directly proportional to the pore throat radius.Rock permeability is the object of describing reservoir Penetration Signature
Parameter is managed, many problems of reservoir are had important practical significance.In general, reservoir has connectivity hole, such as hole
Gap, solution cavity, capillary and crack etc. are that have infiltrative necessary condition.Permeability can measure under laboratory, and fluid is allowed to pass through
Standard rock sample measures its permeability.To under the fluid and rocky condition being independent of each other, the form of rock is not by the shadow of other factors
It rings, then the permeability and fluid properties that homogeneous fluid is measured are not related, only related to rock matrix characteristic.Therefore for one
Determining rock sample, its permeability are a constants.What common well-log information all can directly not be associated with permeability,
The Penetration Signature of reservoir is obtained using the fit correlation between permeability and porosity, median grain diameter indirectly under normal circumstances.
For the acquisition of pore throat radius, formation pore possesses sufficiently complex structure, and pore throat radius and its distribution also respectively have
Difference.General equivalent pore radius (Rer), pore constriction radius and pore radius intermediate value (R50) etc. be describe pore throat situation ginseng
Number.Equivalent pore radius is the parameter for describing pore character, assumes that hinder with practical rock sample with identical seepage flow under normal circumstances
The equivalent rock sample of power;The pore radius intermediate value that capillary pressure curve obtains is surveyed using pressure mercury, establishes accumulation mercury saturation degree and hole
Corresponding relationship between gap radius, the corresponding pore radius value when mercury saturation degree reaches 50%.Pore throat radius, rock seep
When reservoir is flooded, three shows to be positively correlated for saturating rate, pore radius.Relationship in relation to pore throat radius and rock permeability can
With referring to fig. 2.It include: maximum pore throat radius and permeability theory relation curve 201, maximum pore throat radius and permeability in Fig. 2
Actual relationship discrete value 202, average pore throat radius and permeability theory relation curve 203, average pore throat radius and permeability are real
Border relationship discrete value 204, pore throat radius intermediate value and permeability theory relation curve 205 and pore throat radius intermediate value and permeability are practical
Relationship discrete value 206.As seen from Figure 2, either theoretical value or discrete value, maximum pore throat radius, average pore throat radius and
Pore throat radius intermediate value, it is proportional with permeability.
The Reservoir Parameter Models construction method of the seepage flow section of advantage for identification provided in an embodiment of the present invention is stored up by obtaining
Shale content, porosity, water saturation, rock permeability and the pore throat radius of layer, and then establish Reservoir Parameter Models, can be with
Under the premise of not depending on artificial, accurate effective, the objective reservoir parameter for obtaining advantage seepage flow section for identification in real time.
The optimized integration of each embodiment of the present invention is the processing that sequencing is carried out by the equipment with processor function
It realizes.Therefore engineering in practice, can be by the technical solution of each embodiment of the present invention and its function package at various moulds
Block.Based on this reality, on the basis of the various embodiments described above, the embodiment provides a kind of excellent for identification
The Reservoir Parameter Models construction device of gesture seepage flow section, the advantage for identification which is used to execute in above method embodiment are seeped
Flow the Reservoir Parameter Models construction method of section.Referring to Fig. 3, which includes:
Reservoir parameter obtains module 301, for obtaining nature gamma-phase to value, in combination according to natural gamma ray logging value
Layer coefficients obtain the shale content of reservoir;According to interval transit time value, porosity is obtained;According to lithology factor, stratum water resistance
Rate, formation resistivity and the porosity obtain water saturation;According to mercury saturation degree, pore radius is obtained, in conjunction with rock
Permeability obtains pore throat radius;
Reservoir Parameter Models construct module 302, for the shale content of the reservoir, porosity, water saturation, rock
Permeability and pore throat radius collectively form the Reservoir Parameter Models;
Wherein, the rock permeability is fixed constant for any one rock.
The Reservoir Parameter Models construction device of the seepage flow section of advantage for identification provided in an embodiment of the present invention, is joined using reservoir
Number obtains module and Reservoir Parameter Models construct module, by the shale content, porosity, water saturation, the rock that obtain reservoir
Stone permeability and pore throat radius, and then Reservoir Parameter Models are established, it can be under the premise of not depending on artificial, accurate effective, visitor
See the reservoir parameter for obtaining advantage seepage flow section for identification in real time.
The method of the embodiment of the present invention is to rely on electronic equipment to realize, therefore it is necessary to do one to relevant electronic equipment
Lower introduction.Based on this purpose, the embodiment provides a kind of electronic equipment, as shown in figure 4, the electronic equipment includes:
At least one processor (processor) 401, communication interface (Communications Interface) 404, at least one deposits
Reservoir (memory) 402 and communication bus 403, wherein at least one processor 401, communication interface 404, at least one storage
Device 402 completes mutual communication by communication bus 403.At least one processor 401 can call at least one processor
Logical order in 402, to execute following method: according to natural gamma ray logging value, obtaining nature gamma-phase to value, in conjunction with stratum
Coefficient obtains the shale content of reservoir;According to interval transit time value, porosity is obtained;According to lithology factor, formation water resistivity,
Formation resistivity and the porosity obtain water saturation;According to mercury saturation degree, pore radius is obtained, is seeped in conjunction with rock
Saturating rate, obtains pore throat radius;Shale content, porosity, water saturation, rock permeability and the pore throat radius of the reservoir,
Collectively form the Reservoir Parameter Models;Wherein, the rock permeability is fixed constant for any one rock.
In addition, the logical order in above-mentioned at least one processor 402 can be real by way of SFU software functional unit
Now and when sold or used as an independent product, it can store in a computer readable storage medium.Based in this way
Understanding, the technical solution of the present invention substantially portion of the part that contributes to existing technology or the technical solution in other words
Dividing can be embodied in the form of software products, which is stored in a storage medium, including several
Instruction is used so that a computer equipment (can be personal computer, server or the network equipment etc.) executes the present invention
The all or part of the steps of each embodiment the method.For example, according to natural gamma ray logging value, obtain nature gamma-phase
The shale content of reservoir is obtained in conjunction with formation capacity to value;According to interval transit time value, porosity is obtained;According to lithology factor,
Formation water resistivity, formation resistivity and the porosity obtain water saturation;According to mercury saturation degree, hole half is obtained
Diameter obtains pore throat radius in conjunction with rock permeability;Shale content, porosity, water saturation, the rock permeability of the reservoir
Rate and pore throat radius collectively form the Reservoir Parameter Models;Wherein, the rock permeability is solid for any one rock
Permanent number.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), with
Machine accesses various Jie that can store program code such as memory (RAM, Random Access Memory), magnetic or disk
Matter.
The apparatus embodiments described above are merely exemplary, wherein described, unit can as illustrated by the separation member
It is physically separated with being or may not be, component shown as a unit may or may not be physics list
Member, it can it is in one place, or may be distributed over multiple network units.It can be selected according to the actual needs
In some or all of the modules achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creativeness
Labour in the case where, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features;
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (8)
1. a kind of Reservoir Parameter Models construction method of advantage seepage flow section for identification characterized by comprising
According to natural gamma ray logging value, obtains nature gamma-phase and the shale content of reservoir is obtained in conjunction with formation capacity to value;Root
According to interval transit time value, porosity is obtained;According to lithology factor, formation water resistivity, formation resistivity and the porosity, obtain
Water saturation;According to mercury saturation degree, pore radius is obtained in conjunction with rock permeability and obtains pore throat radius;
Shale content, porosity, water saturation, rock permeability and the pore throat radius of the reservoir, collectively form the storage
Layer parameter model;
Wherein, the rock permeability is fixed constant for any one rock.
2. the Reservoir Parameter Models construction method of the seepage flow section of advantage for identification according to claim 1, which is characterized in that
It is described to obtain nature gamma-phase according to natural gamma ray logging value and the shale content of reservoir is obtained in conjunction with formation capacity to value, packet
It includes:
Wherein, V' is natural gamma relative value;GR is natural gamma ray logging value;GRminFor natural gamma minimum value;GRmaxFor certainly
Right gamma maximum value;VshFor the shale content of reservoir;C is formation capacity.
3. the Reservoir Parameter Models construction method of the seepage flow section of advantage for identification according to claim 1, which is characterized in that
It is described according to interval transit time value, obtain porosity, comprising:
Φ=0.155*AC-44.092
Wherein, AC is interval transit time value;Φ is porosity.
4. the Reservoir Parameter Models construction method of the seepage flow section of advantage for identification according to claim 3, which is characterized in that
It is described according to lithology factor, formation water resistivity, formation resistivity and the porosity, obtain water saturation, comprising:
Wherein, SwFor water saturation;N is saturation exponent;A and b is lithology factor;Rw is formation water resistivity;RtFor stratum
Resistivity;M is rock cementation factor.
5. the Reservoir Parameter Models construction method of the seepage flow section of advantage for identification according to claim 1, which is characterized in that
It is described according to mercury saturation degree, obtain pore radius in conjunction with rock permeability and obtain pore throat radius, comprising:
If the mercury saturation degree reaches 50%, corresponding pore radius is obtained;The pore radius, with the rock permeability
Rate is directly proportional, and the rock permeability is directly proportional to the pore throat radius.
6. a kind of Reservoir Parameter Models construction device of advantage seepage flow section for identification characterized by comprising
Reservoir parameter obtains module, for according to natural gamma ray logging value, obtaining nature gamma-phase to value, in conjunction with formation capacity,
Obtain the shale content of reservoir;According to interval transit time value, porosity is obtained;According to lithology factor, formation water resistivity, stratum electricity
Resistance rate and the porosity obtain water saturation;According to mercury saturation degree, obtains pore radius and obtained in conjunction with rock permeability
To pore throat radius;
Reservoir Parameter Models construct module, for the shale content of the reservoir, porosity, water saturation, rock permeability
And pore throat radius, collectively form the Reservoir Parameter Models;
Wherein, the rock permeability is fixed constant for any one rock.
7. a kind of electronic equipment characterized by comprising
At least one processor, at least one processor, communication interface and bus;Wherein,
The processor, memory, communication interface complete mutual communication by the bus;
The memory is stored with the program instruction that can be executed by the processor, and the processor calls described program instruction,
To execute such as method described in any one of claim 1 to 5.
8. a kind of non-transient computer readable storage medium, which is characterized in that the non-transient computer readable storage medium is deposited
Computer instruction is stored up, the computer instruction makes the computer execute the method as described in any one of claims 1 to 5.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110232208A (en) * | 2019-04-30 | 2019-09-13 | 长江大学 | The Reservoir Parameter Models construction method and equipment of advantage seepage flow section for identification |
CN110955982A (en) * | 2019-12-18 | 2020-04-03 | 长江大学 | Metamorphic rock reservoir permeability calculation method and device and computer storage medium |
CN114458305A (en) * | 2020-11-03 | 2022-05-10 | 中国石油天然气集团有限公司 | Method and device for determining pore structure coefficient |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101806215A (en) * | 2010-03-05 | 2010-08-18 | 中国石油集团川庆钻探工程有限公司 | Method for judging reservoir fluid type with irreducible water saturation data |
CN102012526A (en) * | 2010-09-09 | 2011-04-13 | 四川德阳西德电器有限公司 | Method for discriminating type of reservoir fluid by using resistivity data |
CN104500049A (en) * | 2014-10-20 | 2015-04-08 | 成都创源油气技术开发有限公司 | Shale gas physical geography quick evaluation method |
CN106951660A (en) * | 2017-04-05 | 2017-07-14 | 中国石油天然气股份有限公司 | A kind of marine clastics horizontal well reservoir log interpretation method and device |
-
2019
- 2019-04-03 CN CN201910266545.XA patent/CN110046414A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101806215A (en) * | 2010-03-05 | 2010-08-18 | 中国石油集团川庆钻探工程有限公司 | Method for judging reservoir fluid type with irreducible water saturation data |
CN102012526A (en) * | 2010-09-09 | 2011-04-13 | 四川德阳西德电器有限公司 | Method for discriminating type of reservoir fluid by using resistivity data |
CN104500049A (en) * | 2014-10-20 | 2015-04-08 | 成都创源油气技术开发有限公司 | Shale gas physical geography quick evaluation method |
CN106951660A (en) * | 2017-04-05 | 2017-07-14 | 中国石油天然气股份有限公司 | A kind of marine clastics horizontal well reservoir log interpretation method and device |
Non-Patent Citations (4)
Title |
---|
何庆;韩学彬;吴建东;李冬平;: "低孔低渗储层参数解释模型的建立", 西部探矿工程, no. 10, pages 99 - 104 * |
吕洲等: "孔喉半径对松辽盆地南部青一段特低-超低渗透储层质量的控制作用", no. 11, pages 4204 - 4214 * |
申家年等: ""石油地质实验原理及分析方法", 31 August 2012, 哈尔滨工业大学出版社, pages: 67 - 73 * |
窦齐丰,黄述旺,彭仕宓,王韶华: "第四系天然气藏储层物性参数测井解释模型", 石油大学学报(自然科学版), no. 06, pages 29 - 32 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110232208A (en) * | 2019-04-30 | 2019-09-13 | 长江大学 | The Reservoir Parameter Models construction method and equipment of advantage seepage flow section for identification |
CN110955982A (en) * | 2019-12-18 | 2020-04-03 | 长江大学 | Metamorphic rock reservoir permeability calculation method and device and computer storage medium |
CN110955982B (en) * | 2019-12-18 | 2023-04-07 | 长江大学 | Metamorphic rock reservoir permeability calculation method and device and computer storage medium |
CN114458305A (en) * | 2020-11-03 | 2022-05-10 | 中国石油天然气集团有限公司 | Method and device for determining pore structure coefficient |
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