CN110162922A - A kind of integrated recognition method of water-drive pool dominant flowing path - Google Patents
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Abstract
The present invention relates to a kind of integrated recognition methods of water-drive pool dominant flowing path, the present invention is on the basis of fine geology models, streamline distribution characteristic model between well of the foundation based on dominant flowing path, recycle ANALYSIS OF RELATIONAL GRADE and the comprehensive identification advantage seepage direction of multiple linear regression (MLR) method, method is simple, and precision is higher, at low cost, have many characteristics, such as real-time, can satisfy most of water-drive pool dominant flowing path identifications.The dominant flowing path of water-drive pool can be obtained by simple analytical calculation, water flooding effectiveness can be improved for the water-drive pool later period has good directive significance, and also low Water-cut Period oil reservoir carries out prevention early warning in advance in, high-efficiency continuous exploitation provides good reference function.
Description
Technical field
The integrated recognition method of water-drive pool dominant flowing path of the present invention is related to a kind of water-drive pool identification advantage seepage flow
Utilization of the channel in exploration and development technology.
Background technique
During water-drive pool exploration and development, influence of the oil reservoir dominant flowing path to later development is to can not be ignored
, when carrying out Well pattern edjustment, optimization secondary development, implementing tertiary oil recovery technology to obtain good development effectiveness, first
What is made clear is the current state in which in stratum and restraining factors.Therefore, the formation mechenism of clear advantage seepage channel, finds
The influence factor of dominant flowing path identifies dominant flowing path using scientific, accurate, comprehensive method, is guidance next step
The important references standard of profile control measures, the compatibility evaluation including plugging agent, determining, the injection mode optimization of injection rate etc..Wherein
Main method has:
The method that production logging technology identifies dominant flowing path, mainly consideration dominant flowing path are main in water injection well
It is strong to show as the more other layers of water absorbing capacity, injection well is divided into according to injection technology closes layer injection and multi-zone flow regulating two ways,
The development characteristics of dominant flowing path can be judged by test data.It is logical with water uptake section well logging data and advantage seepage flow
Trace analysis software identifies the dominant flowing path well section in water absorption layer, realizes that dominant flowing path is qualitative, quantitative description.Note
Dominant flowing path can be identified better by entering profile logging technology, but wherein there is also some problems, such as isotopic carrier
It can not amplify to member limit, also to take into account non-advantage seepage channel layer etc. in well logging.
Interwell tracer technique develops more rapid in recent years, and injection-production well is described by the way of qualitative or quantitative
Between in stratum fluid flow behavior, and then heterogeneity for providing stratum etc. is evaluated, and has been applied to dominant flowing path and has been retouched
It states.Inter-well tracer test monitoring, which refers to from well, injects tracer slug, in the output situation of the producing well monitoring tracer of surrounding, draws
The output change curve of tracer processed at any time, the shape of production curve, the height of concentration, break through be by formation parameter and
What the working system of use determined, therefore can qualitatively judge in stratum with the presence or absence of high permeable strip, dominant flowing path, crack
Deng using reservoir permeability can be quantitatively calculated in method for numerical simulation, be averaged oil saturation, dominant flowing path at present
Hole seep etc. parameters.But there is also some drawbacks, such as common chemical tracer is difficult quantitative interpretation and goes out high permeability zone or excellent between well
The parameter of gesture seepage channel, radioactive tracer is because of safety and environmental protection problem, and stable isotopic tracer agent is because of implementation cost
Excessively high problem, field application was restricted in recent years.
Currently, biasing toward the modes such as logging technique to the recognition methods of dominant flowing path is mainly partial to qualitative recognition,
Due to continually developing and producing with oil field, the dominant flowing path of original water filling can change, or have new seepage flow
Channel re-forms, and existing method does not have timeliness, therefore this method is established on the basis of fine geology models with advantage
Streamline distribution characteristic model between well based on seepage channel recycles the comprehensive identification advantage seepage direction of optimization algorithm, method
Simply, precision is higher, at low cost, has many characteristics, such as to observe in real time, can satisfy most of water-drive pool dominant flowing paths and know
Not.
Summary of the invention
The present invention is intended to provide a kind of integrated recognition method of water-drive pool dominant flowing path, method is simple, precision
Higher, the features such as at low cost can satisfy most of water-drive pool dominant flowing path identifications.It is by simple analytical calculation
The dominant flowing path distribution of water-drive pool can be obtained, water flooding effectiveness can be improved for the water-drive pool later period with good
Directive significance.
In order to realize the purpose of foregoing invention, the scheme that the present invention takes is:
Step 1: the pre-processing of the recognition methods of dominant flowing path of the water-drive pool based on streamline: comprehensive utilization
Rock core, well logging, test, well testing and Production development data information develop direction, vertical germinal layer to dominant flowing path plane
Duan Jinhang is tentatively identified；
The recognition methods of dominant flowing path according to water-drive pool described in claim steps 1 based on streamline,
It is characterized in that, the test data includes pressure fall-off test, intake profile, water suction indicative curve, production profile, residual oil analysis
And the data information of tracer monitoring；The well-log information includes the data information of conventional logging, production logging；The examination
Well data includes the data information of pressure fall-off test and interference test.
Step 2: the recognition methods of the dominant flowing path to the water-drive pool based on streamline specifically includes that fine geology
Dynamic seepage channel characterization model between modeling, static streamline distribution characteristics description, well.
The fine geology modeling includes: to be established and wrapped using Geologic modeling software on the basis of calculating the above parameter
The three-dimensional geological model of the feature containing dominant flowing path, establishes reservoir numerical simulation based on dominant flowing path geological model
Model, the case where streamline distribution between the well at present under heterogeneous situation is determined by reservoir numerical simulation；
The static streamline distribution characteristics description includes: fast using streamline numerical simulation trial speed and history matching
Advantage, with the streamline numerical simulation model for establishing block, passes through grease on the basis of numerical simulation fitting result is solid
Stream number of lines and density degree between well characterize each substratum dominant flowing path.
The dynamic development index characterization model includes:
It is stored up in conjunction with produced on-site dynamic data between well using ANALYSIS OF RELATIONAL GRADE and multiple linear regression (MLR) method
It is logical that layer connection situation and inflow direction carry out identification judgement advantage seepage flow.
Degree of association method is each correlate degree quantization method in Grey Theory Analysis system, by continuous concept with discrete
Data arrange replace, correlation degree is judged according to similarity degree between curve.It is bigger to be associated with angle value, indicates that well influences oil well
Bigger, grease interwell communication is better, and water flow is bigger in the direction, and by long-term current scour, between them, there are advantage infiltrations
A possibility that circulation road, is bigger.The moon injection rate series of well is expressed asThe moon Liquid output series of tables of oil well is shown
ForAccording to grey correlation theory, the expression formula of two degree of association r between sequence X and Y are as follows:
Wherein ρ --- resolution ratio generally takes 0.5.
The quantitative study of connectivity is to improve the necessary component of high water cut oil field recovery ratio, interwell communication between injection-production well
Journal of Sex Research reflects formation pore feature, is a kind of effective ways for judging interwell permeability size, and connection coefficient is bigger between well,
Corresponding permeability is bigger, and influence degree is higher between injection-production well.Multiple linear regression is to analyze a kind of stochastic variable and multiple changes
The most frequently used statistical method of linear relationship between amount.By multiple linear regression MLR method, in conjunction with produced on-site dynamic data,
Identification judgement is carried out between reservoir connection situation well and inflow direction.According to the principle of mass conservation, strata pressure variation is by producing
Caused by liquid measure and the difference of water injection rate, then in the injection and extraction system that a note one is adopted, have:
In formula:
ct--- the total compressed coefficient in stratum, MPa-1；
Vp--- rock active porosity volume, m3；
--- stratum average pressure, MPa；
T --- time interval, d；
I (t) --- waterflood injection rate, m3/d；
Q (t) --- produce liquid speed degree, m3/d。
Know again:
In formula:
J --- fluid productivity index, m3/(d·MPa)；
I --- injectivity index, m3/(d·MPa)；
--- producing well bottom pressure, MPa；
pwfi(t) --- water injection well bottom pressure, MPa
Formula (4) formula (5) is brought into formula (3) to obtain
Under normal circumstances, the more difficult acquisition of pressure data, so wushu (6) left end Section 2 and Section 4 merge:
Substitution formula (6) abbreviation obtains:
Producing well fluids is oil and water, and fluid viscosity approximate can be weighted and averaged with moisture content, therefore above formula is writeable are as follows:
When injection and extraction system is l mouthfuls of water injection wells, m mouthfuls of producing wells, above formula (9) can be write as:
It solves and simplified:
In formula:
fwj--- the moisture content of jth mouth producing well, f；
qj--- jth mouth produces well yield, m3；
ii--- the water injection rate of i-th mouthful of water injection well, m3；
λij--- the connection coefficient of i-th mouthful of water injection well and jth mouth producing well,
cj--- additional constant item, m3。
It is t when the time1,t2····tnWhen, jth mouth producing well and surrounding water injection well connected relation formula can be written as follows
Matrix form:
For a bite producing well, above formula has l unknown quantity, n equation.As dynamic data group number n >=l, and data have
When more apparent fluctuation, it can be solved using least square method.The yield data and moisture content data of known producing well, utilize formula
(12) calculate percent continuity between each injection-production well, using the percent continuity between water injection well and producing well can be relatively good reflect
Connected relation between the two, therefore can be used for differentiating the dominant flowing path direction of water injection well.
Detailed description of the invention
Attached drawing 1 is flow diagram of the invention.
Specific embodiment
A specific embodiment of the invention is described further with reference to the accompanying drawing.
During water-drive pool exploration and development, influence of the oil reservoir dominant flowing path to later development is to can not be ignored
, when carrying out Well pattern edjustment, optimization secondary development, implementing tertiary oil recovery technology to obtain good development effectiveness, first
What is made clear is the current state in which in stratum and restraining factors.
The present invention is intended to provide a kind of integrated recognition method of water-drive pool dominant flowing path, method is simple, precision
Higher, the features such as at low cost can satisfy most of water-drive pool dominant flowing path identifications.It is by simple analytical calculation
The dominant flowing path distribution of water-drive pool can be obtained, water flooding effectiveness can be improved for the water-drive pool later period with good
Directive significance.
Its specific embodiment is as follows:
(1) rock core, well logging, test, well testing and Production development data information are comprehensively utilized, to dominant flowing path plane
Direction is developed, vertical development interval is identified, the porosity of macropore, permeability, pore throat radius, voidage are quantitatively calculated
Parameter；
(2) recognition methods of the dominant flowing path to the water-drive pool based on streamline specifically includes that fine geology is built
Dynamic seepage channel characterization model between mould, static streamline distribution characteristics description, well.
The fine geology modeling is established using Geologic modeling software comprising excellent on the basis of calculating the above parameter
The three-dimensional geological model of gesture seepage channel feature, establishes reservoir numerical simulation mould based on dominant flowing path geological model
Type, the case where streamline distribution between the well at present under heterogeneous situation is determined by reservoir numerical simulation.
The fine geology modeling includes: to establish numerical simulation geological model, further includes based on construction modeling thereon, attribute
Modeling, geostatistical analysis, reserves calculate and grid roughening.
The fine geology modeling includes: history matching for production, and based on individual well and well group flow analysis thereon；Also
It further include based on above-described including distribution factor between the research of water flow predominant pathway, well and quantization grid oil-containing volumetric abundance
Fill the water periptery and remaining oil distribution research.
The static state streamline distribution characteristics description is each small on longitudinal direction mainly in the grid system of reservoir numerical simulation
Layer, the streamline in each region collects along fluid flow trace in plane, regard the streamline that every layer of grid is included as a set,
Regard all streamline summations gone out in three-dimensional stereo model from water injection well transmitting as streamline always to collect, then gathers in this streamline set
The stream number of lines of collection and the ratio for all streamlines sum that sterically water injection well is launched are exactly streamline ratio λ, see formula (13), mainly
Evaluation method is divided into the streamline of the streamline distribution of interlayer than streamline distribution density distribution characteristics in feature and layer.
λ in formula --- streamline ratio, f；
ni--- the i-th laminar flow number of lines.
Dynamic seepage channel characterization model is by ANALYSIS OF RELATIONAL GRADE and the side multiple linear regression (MLR) between the well
Method carries out identification to reservoir connection situation well and inflow direction and judges dominant flowing path in conjunction with produced on-site dynamic data,
Yield data and moisture content data for known producing well utilize (13) to count using influence degree between formula (1), (2) calculating well
Calculate percent continuity between each injection-production well, using the percent continuity between water injection well and producing well can be relatively good reflect the two
Between connected relation, therefore can be used for differentiating the dominant flowing path direction of water injection well.
(3) form a set of fairly perfect dominant flowing path recognition methods: using rock core, well logging, test, well testing with
And Production development data information, direction is developed to dominant flowing path plane, vertical development interval is tentatively identified；Using building
Vertical Statically Geologic Model and streamline numerical simulation identification goes out advantage seepage flow layer position；Select suitable Production development correlation fractal dimension
Determine that water flow dominant flowing path direction and development degree are identified and characterized.Water can be obtained by simple analytical calculation
The dominant flowing path of oil reservoirs, can improve water flooding effectiveness for the water-drive pool later period has good directive significance.
Claims (9)
1. a kind of integrated recognition method of water-drive pool dominant flowing path, it is characterised in that: the method includes 2 steps.
2. step 1 according to claim 1 includes comprehensive utilization rock core, well logging, test, well testing and Production development data
Data develops direction to dominant flowing path plane, and vertical development interval is tentatively identified.
3. the identification side that step 2 according to claim 1 is the dominant flowing path to the water-drive pool based on streamline
Method specifically includes that dynamic seepage channel characterization model between fine geology modeling, static streamline distribution characteristics description, well.
4. the identification side of dominant flowing path of the water-drive pool described in step 1 according to claim 1 based on streamline
Method, which is characterized in that the test data includes pressure fall-off test, intake profile, water suction indicative curve, production profile, residue
The data information of oil monitoring and tracer monitoring；The well-log information includes the data information of conventional logging, production logging；Institute
The well test data stated includes the data information of pressure fall-off test and interference test.
5. fine geology modeling includes: and utilizes on the basis of calculating the above parameter in step 2 according to claim 1
Geologic modeling software establishes the three-dimensional geological model comprising dominant flowing path feature, using dominant flowing path geological model as base
Plinth establishes reservoir numerical simulation model, and the feelings of streamline distribution between the well under heterogeneous situation at present are determined by reservoir numerical simulation
Condition.
6. the static streamline distribution characteristics description in step 2 includes: to utilize streamline numerical simulation trial according to claim 1
Speed and the fast advantage of history matching, on the basis of numerical simulation fitting result is solid, with the streamline number for establishing block
It is worth simulation model, each substratum dominant flowing path is described by stream number of lines between oil-water well and density degree and is distributed.
7. dynamic seepage channel characterization model includes: using ANALYSIS OF RELATIONAL GRADE between the well in step 2 according to claim 1
Reservoir connection situation and inflow direction well are known in conjunction with produced on-site dynamic data with multiple linear regression MLR method
Do not judge that advantage seepage flow is logical.
8. the ANALYSIS OF RELATIONAL GRADE that dynamic seepage channel characterizes between the well in step 2 according to claim 1, association angle value is got over
Greatly, it is bigger to indicate that well influences oil well, grease interwell communication is better, and water flow is bigger in the direction, rushes by long-term water flow
A possibility that brush, there are dominant flowing paths between them, is bigger.
9. dynamic seepage channel characterization model multiple linear regression MLR method between the well in step 2 according to claim 1.
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Cited By (12)
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| CN111209711A (en) * | 2020-01-11 | 2020-05-29 | 西南石油大学 | Water flooding reservoir optimal flow field identification method based on flow field diagnosis and clustering |
| CN111706318A (en) * | 2020-05-26 | 2020-09-25 | 中国石油天然气集团有限公司 | Method for determining residual oil distribution condition of low-permeability reservoir |
| CN111749688A (en) * | 2020-08-10 | 2020-10-09 | 西南石油大学 | Method for predicting development position and direction of dominant seepage channel |
| CN112081582A (en) * | 2020-09-21 | 2020-12-15 | 中国石油大学(北京) | Prediction method, system and device for dominant channel in water-drive oil reservoir development |
| CN112343587A (en) * | 2020-09-03 | 2021-02-09 | 中国石油天然气股份有限公司 | Ultra-low permeability reservoir dominant seepage channel identification and characterization method |
| CN112561279A (en) * | 2020-12-09 | 2021-03-26 | 中国石油化工股份有限公司胜利油田分公司孤岛采油厂 | Identification method and system for high-water-consumption zone |
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