CN106779211A - A kind of PRODUCTION FORECASTING METHODS for oil field injection and extraction well pattern displacement exploitation - Google Patents
A kind of PRODUCTION FORECASTING METHODS for oil field injection and extraction well pattern displacement exploitation Download PDFInfo
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Abstract
The present invention relates to a kind of PRODUCTION FORECASTING METHODS for oil field injection and extraction well pattern displacement exploitation, the method comprises the following steps：(1) conventional reservoir water drive well pattern exploitation productivity prediction model is set up；(2) displacement coefficient of colligation is introduced, it is promoted to many types of reservoir and displacement development scheme；(3) Analysis and Screening can embody the displacement development scheme feature and the relevant parameter being had a major impact to production capacity result；(4) numerical model set up under studying well pattern type and displacement development scheme using numerical reservoir simulation method；(5) the single factor test dependency relation of the characteristic parameter in analytical procedure (3) and displacement coefficient of colligation is calculated；(6) multigroup production capacity result is calculated；(7) productivity prediction model of corresponding flooding pattern displacement development scheme is obtained；(8) Accuracy Verification is carried out to the productivity prediction model respectively.General applicability of the present invention is stronger, can carry out fast and effectively comparative analysis.
Description
Technical field
The present invention relates to a kind of PRODUCTION FORECASTING METHODS for oil field injection and extraction well pattern displacement exploitation, belong to oil field production capacity prediction
Technical field.
Background technology
With the increase of oil field development difficulty, take advanced production technique to improve crude oil recovery ratio, be that crude oil is produced
Amount realizes the important channel produced in stable yields.Intensified oil reduction has as the Main Means for improving oil recovery factor in oil field development
There are bright prospects, constantly there is new intensified oil reduction method to occur and be widely applied for many years, main displacement development approach
Driven including chemical flooding, gas injection drive, heating power drive and microorganism etc..
Because the operating process of above-mentioned displacement development approach and the mechanism of oil displacement of raising oil recovery factor are sufficiently complex, and
With investment is big, high cost, big risk the features such as, therefore China weighs very much to the Potential Evaluation work for improving recovery ratio method
Depending on.Potential Evaluation can be used for the developing direction for instructing China to improve recovery ratio, to Oil Field work arrangements and the science of planning
Rationally play an important role, and the production capacity for being directed to certain displacement development approach makes Accurate Prediction, exactly carries out potentiality to it
The important foundation of evaluation, is to ensure that the powerful guarantee of Potential Evaluation result reliability.
PRODUCTION FORECASTING METHODS common at present has three kinds, i.e. empirical formula method, analytic method and method for numerical simulation.Through
Test equation and come from statistical analysis, most of empirical equations are only set up on oil deposit parameter, often do not consider specifically to open
Hair process, lacks sufficient theory analysis；Analytic method is typically established in the seepage flow theoretical foundations such as shunting or streamline, Ke Yi
Accurate result is obtained in certain parameter area, but for the ease of solving, generally requires substantial amounts of simplification it is assumed that simultaneously
With principle is complicated, unhandy feature；Method for numerical simulation can more comprehensively consider the mechanism of various oil displacement processes, but
The order of accuarcy for predicting the outcome depends on the accuracy for portraying characteristics of reservoirs and associated production data, in collection and processing data
Needs take a significant amount of time and energy.
The general character of several existing methods is also resided in above：1. different injection production well arrangements class is protruded not in productivity prediction model
The feature of type, less embodiment its influence to capability forecasting result；2. without intuitively embodiment actual development parameter to capability forecasting
The influence that result is caused, principle is complicated and operability is weaker, while the less feature for embodying different displacement development schemes；3. do not have
Have and unified various displacement development scheme rows in theory, general applicability is weaker so that different development schemes are corresponding
Between capability forecasting result, it is impossible to carry out fast and effectively comparative analysis.
The content of the invention
For the disadvantages mentioned above of prior art, the invention discloses a kind of production capacity for oil field injection and extraction well pattern displacement exploitation
Forecasting Methodology.The purpose of the present invention is by introducing displacement coefficient of colligation concept, and synthesis use empirical equation, parsing and number
Value three kinds of research methods of simulation so that various displacement development schemes are unified in theory, realize various common research methods
Mutual supplement with each other's advantages, it is final to solve the problems, such as the capability forecasting that the displacement of oil field injection and extraction well pattern is developed, there is provided a kind of principle is simple, applicable
The property accurate method of strong, easy to operate and result.
To achieve these goals, technical scheme is as follows.
A kind of PRODUCTION FORECASTING METHODS for oil field injection and extraction well pattern displacement exploitation, the method comprises the following steps：
(1) for different well pattern types, using equivalent flow resistance method, conventional reservoir water drive well pattern exploitation production capacity is set up
Forecast model；
(2) formal similitude is adopted using note, displacement is introduced in the productivity prediction model that step (1) is set up is comprehensively
Number, it is promoted to many types of reservoir and displacement development scheme；
(3) Analysis and Screening can embody the displacement development scheme feature and the related ginseng being had a major impact to production capacity result
Number；
(4) according to the actual parameter of Oil Field, set up using numerical reservoir simulation method and study well pattern type and drive
For the numerical model under development scheme；
(5) using the numerical model set up in the productivity prediction model and step (4) set up in step (2), analysis is calculated
The single factor test dependency relation of characteristic parameter and displacement coefficient of colligation in step (3)；
(6) choosing influences the major parameter of the displacement mode development effectiveness, and multigroup Numerical-Mode is produced using orthogonal array
Intend research approach, calculate multigroup production capacity result；
(7) according to the single factor test dependency relation obtained in step (5), based on the production capacity result obtained in step (6),
The empirical equation of displacement coefficient of colligation is obtained through multiple linear regression, the product of corresponding flooding pattern displacement development scheme is then obtained
Can forecast model；
(8) calculated using Artificial Neural Network, method for numerical simulation and field case, respectively to the capability forecasting
Model carries out Accuracy Verification.
Further, the citation form of displacement coefficient of colligation is：
α=F (X1,X2,...,Xn)
In formula：α is displacement coefficient of colligation, zero dimension；X1, X2..., XnThe correlation of respectively studied displacement development scheme
Characteristic parameter.
The beneficial effect of the invention is：Compared with the conventional method, it is provided by the present invention a kind of for oil field injection and extraction well
The PRODUCTION FORECASTING METHODS tool of net displacement exploitation has the advantage that：1. it is comprehensive to use three kinds of empirical equation, parsing and numerical simulation
Research method, realizes the mutual supplement with each other's advantages of various common research methods；2. various flooding pattern types are intuitively embodied to be opened with displacement
The feature of originating party formula, the influence that prominent actual development parameter is caused to capability forecasting result, principle is simple and workable；③
Introduce displacement coefficient of colligation to be unified various displacement development schemes in theory, general applicability is stronger, makes different exploitations
Between the corresponding capability forecasting result of mode, fast and effectively comparative analysis can be carried out.
Brief description of the drawings
Fig. 1 is a kind of flow chart of PRODUCTION FORECASTING METHODS for oil field injection and extraction well pattern displacement exploitation in the present invention.
Fig. 2 is anti-9 straight wells well pattern schematic diagram in one embodiment of the invention.
Fig. 3 is different modes capability forecasting result schematic diagram in one embodiment of the invention.
Specific embodiment
The PRODUCTION FORECASTING METHODS for oil field injection and extraction well pattern displacement exploitation in the present invention, the method step includes following step
Suddenly：
(1) for different well pattern types, using equivalent flow resistance method, conventional reservoir water drive well pattern exploitation production capacity is set up
Forecast model；
(2) formal similitude is adopted using note, displacement is introduced in the productivity prediction model that step (1) is set up is comprehensively
Number, it is promoted to many types of reservoir and displacement development scheme；
(3) Analysis and Screening can embody the displacement development scheme feature and the related ginseng being had a major impact to production capacity result
Number；
(4) according to the actual parameter of Oil Field, set up using numerical reservoir simulation method and study well pattern type and drive
For the numerical model under development scheme；
(5) using the numerical model set up in the productivity prediction model and step (4) set up in step (2), analysis is calculated
The single factor test dependency relation of characteristic parameter and displacement coefficient of colligation in step (3)；
(6) choosing influences the major parameter of the displacement mode development effectiveness, and multigroup Numerical-Mode is produced using orthogonal array
Intend research approach, calculate multigroup production capacity result；
(7) according to the single factor test dependency relation obtained in step (5), based on the production capacity result obtained in step (6),
The empirical equation of displacement coefficient of colligation is obtained through multiple linear regression, the product of corresponding flooding pattern displacement development scheme is then obtained
Can forecast model；
(8) calculated using Artificial Neural Network, method for numerical simulation and field case, respectively to the capability forecasting
Model carries out Accuracy Verification.
The citation form of above-mentioned displacement coefficient of colligation is：
α=F (X1,X2,...,Xn)
In formula：α is displacement coefficient of colligation, zero dimension；X1, X2..., XnThe correlation of respectively studied displacement development scheme
Characteristic parameter.
Specific embodiment of the invention is described with reference to the accompanying drawings and examples, to be better understood from this hair
It is bright.
Embodiment
The present embodiment is driven as embodiment with the anti-9 straight well well patterns steam of heavy crude reservoir.As shown in figure 1, in embodiment,
The process that the anti-9 straight well well patterns steam of heavy crude reservoir drives PRODUCTION FORECASTING METHODS is mainly included the following steps that：
Step 101, for anti-9 straight well well patterns, using equivalent flow resistance method, sets up conventional reservoir water drive well pattern and opens
Hair productivity prediction model.
Generally for a uniform arrangement and the area injection and extraction system of bounded, can all be divided into centered on injection well
Limited not only interrelated but also independent mutually unit.As shown in Fig. 2 being anti-9 straight wells centered on a bite injection well
Element pattern.
For conventional oil reservoir waterflooding development, it is assumed that oil and water mobility ratio is 1 and is piston displacement, it is considered to which oil reservoir is respectively to different
Property, injection well is divided into productive gallery and productive gallery to two, producing well shaft bottom portion using the water power principle of similitude by filtrational resistance
Point, obtain the anti-9 straight wells well pattern water drive productivity prediction model of conventional oil reservoir, such as formula (1)：
In formula：QoIt is the anti-9 straight wells well pattern water drive production capacity of conventional oil reservoir under surface condition, cm3/s；K is that stratum is average
Permeability, 10-3μm2；β is anisotropy factor；H is Effective thickness of formation, cm；Δ P is producing pressure differential, MPa；BoIt is crude oil body
Product coefficient；μoIt is the viscosity of crude at 50 DEG C, mPas；D is that well pattern characteristic dimension half is long, cm；rwIt is oil well radius, cm.
Step 102, adopts formal similitude, in public affairs with conventional oil reservoir waterflooding development using viscous oil field operated by steam in note
Steam is introduced in formula (1) and drives coefficient of colligation, productivity model is promoted to viscous oil field operated by steam.
Assuming that the displacement coefficient of colligation of conventional reservoir water drive is 1, displacement coefficient of colligation in the present embodiment is steam
Coefficient of colligation is driven, the anti-9 straight well well patterns steam of heavy crude reservoir that popularization is obtained drives productivity prediction model, such as formula (2)：
Q=α Qo (2)
In formula：Q is that the anti-9 straight well well patterns steam of heavy crude reservoir under surface condition drives production capacity, cm3/s；Wherein α=F
(X1,X2,...,Xn)；X1, X2..., XnRespectively relevant feature parameters of thick oil steam drive.
Step 103, Analysis and Screening goes out what can not be taken into full account in the parsing part of formula (2), but can protrude heavy crude reservoir
The correlated characteristic that steam drives, and to the relevant parameter that its production capacity result has a major impact, ground for driving coefficient of colligation to steam
Study carefully；
Generally, steam soak was carried out before steam goes, by steam soak can with regenerator section stratum, and
The pollution of near wellbore zone oil reservoir can be released, is that vapour drive creates favorable conditions.Initial oil-containing before selecting steam to drive in this model is satisfied
Reflect the steam soak stage with degree.The parsing part of formula (2) does not account for the non-linear change of viscosity of thickened oil in thermal process
Change feature, while the main steam injection parameter that steam drive coefficient of colligation needs consideration has a major impact to production capacity, including steam injection rate,
Steam injecting temperature and steam injection mass dryness fraction.
Step 104, according to the actual parameter of Oil Field, anti-9 points of heavy crude reservoir is set up using numerical reservoir simulation method
The numerical model that straight well well pattern steam drives.
By taking the FC blocks of XJ oil fields as an example, its numerical model is set up using CMG-STARS softwares, wherein basic parameter is：Oil
Layer middle part height above sea level 110m, average well depth 230m, original formation pressure is 2.27MPa, and prime stratum temperature is 17.7 DEG C, and oil reservoir has
Effect thickness about 17.58m, porosity average out to 32.5%, oil saturation average out to 69.1%, permeability average out to 3151 ×
10-3μm2, degassed crude viscosity is between 10000-15000mPas under reservoir temperature, and temperature often raises 10 DEG C, viscosity drop
Low 50%-60%.
Step 105, designs multigroup research approach, and it is calculated by the numerical model set up in step 104, recycles
In step 102 set up productivity prediction model reverse steam drive coefficient of colligation, and analytical procedure 103 in characteristic parameter be with this
Several single factor test dependency relations.
Respectively with the viscosity of crude at initial oil saturation, 50 DEG C, steam injection rate, steam injecting temperature and steam injection mass dryness fraction this 5
Individual characteristic parameter is research object, multigroup single-factor variable Numerical Experiment scheme is designed successively, it is assumed that production-injection ratio is 1.2,
It is calculated using the numerical model set up in step 4.
Coefficient of colligation is driven by digital-to-analogue result of calculation and formula (2) reverse steam, and studies it respectively with above-mentioned 5 parameters
Single factor test dependency relation, as the foundation for solving steam drive coefficient of colligation empirical equation.Trend is carried out by affecting laws
Fitting, it is known that it is in power relation that steam drives coefficient of colligation with initial oil saturation；It distinguishes with viscosity of crude and steam injection rate
In quadratic expression relation；It is in respectively logarithmic relationship with steam injection mass dryness fraction and steam injecting temperature.And the steam drives coefficient of colligation all with 5
The increase of factor and increase.
Step 106, chooses the major parameter of influence thick oil steam drive development effectiveness, and multigroup number is produced using orthogonal array
Value analog study scheme, and it is calculated with the numerical model set up in step 104, obtain multigroup production capacity result；
Effective pay thickiness, initial oil saturation, the viscosity of crude at 50 DEG C and steam injection rate etc. 8 is chosen mainly to open
Hair parameter, the reservoir condition of 32 blocks is weighed with reference to Xinjiang windy city oil field, provides the span of each parameter, and be respectively divided into 8
Individual level, as shown in table 1.Using orthogonal array produce 64 groups of numerical simulation schemes, and with step 4 foundation Numerical-Mode
Type is calculated it, obtains multigroup production capacity result.
The orthogonal test factor of table 1 and water-glass
Step 107, according to the single factor test dependency relation obtained in step 105, be with the production capacity result obtained in step 106
Basis, the empirical equation that steam drives coefficient of colligation is obtained through multiple linear regression, then obtains the anti-9 straight well wells of heavy crude reservoir
The productivity prediction model that net steam drives, wherein the parameter scope of application of forecast model, as in research approach designed by step 106
Parameter value scope；
The single factor test dependency relation result of study of 5 corresponding characteristic parameters of coefficient of colligation is driven according to steam, through becoming
Amount replacement and multiple linear regression, obtain the empirical model that steam drives coefficient of colligation, such as formula (3).Can from formula (3)
Go out, in this research range, steam injecting temperature for other factors, the influence of coefficient of colligation is driven to vapour with steam injection mass dryness fraction
Smaller, i.e., the production capacity result influence driven on horizontal well steam is smaller.Formula (3) is updated in formula (2), viscous crude is finally given
The productivity prediction model that the anti-9 straight well well patterns steam of oil reservoir drives.
In formula：So is oil saturation；V is steam injection rate, m3/d；T is steam injecting temperature, DEG C；G is steam injection mass dryness fraction.
Step 108, designs multigroup verification scheme, real using Artificial Neural Network, method for numerical simulation and scene
Example is calculated, and carries out Accuracy Verification to the productivity prediction model obtained in step 107 respectively.
Artificial Neural Network has good adaptivity, and in the multiple fields such as oil-gas field development, it is right to be usually used in
Multivariable, uncertain nonlinear system are predicted, and accuracy is higher.Set up artificial nerve network model and it is critical only that it
Structure level number, input and output parameter.3 layers of artificial network's 9 straight well well pattern steam anti-to heavy crude reservoir are selected to drive production capacity herein
It is predicted, network inputs node is 8 factors of the influence production capacity of proposition in table 1, network output node is production capacity result.
The imperfection and discreteness of learning training sample can directly affect the accuracy of neural network forecast result, select herein
64 groups of numerical simulation results composition learning sample collection in step 106, is inputted the computing training of the line number ten thousand times of going forward side by side, error
Thus control find out the internal connection between capability forecasting result and 8 principal elements within the scope of minimum.Training is obtained
After network weight and threshold values, obtain being different from 10 groups of inspection datas of learning training sample, such as table after 8 factors are reconfigured
Shown in 2, and then its production capacity result is made prediction.By neural network forecast and digital-to-analogue result of calculation simultaneously with step 107 in production capacity
Forecast model result is analyzed, as shown in table 3 and Fig. 3, it can be seen that the error of productivity prediction model is about
10%, meet engine request.
The test samples tables of data of table 2
The capability forecasting Comparative result analytical table of table 3
Anti- 9 straight well element pattern in the FC blocks of XJ oil fields, its initial stage carries out steam soak, and the later stage switchs to steam
Drive exploitation.Basic parameter is as follows：Original formation pressure is 2.27MPa, and average pore is 32.5%, and mean permeability is 3151
×10-3μm2, remaining oil saturation is 67.2%, and viscosity of crude is 12000mPas, steam injection rate 60m at 50 DEG C3/ d, note
270 DEG C of stripping temperature, steam injection mass dryness fraction is 0.8, and a length of 50m of well pattern characteristic dimension half, oil well radius is 0.1m, and core intersection is
17.23m, oil volume factor is 1.05.It is 129.14m to calculate oil production using above-mentioned formula3/ d, and actually measured oil-producing
It is 137.48m to measure3/ d, error is 6.07%.
Above-mentioned various method assay explanations, the PRODUCTION FORECASTING METHODS of the oil field injection and extraction well pattern displacement exploitation in the present invention
With scientific, accuracy and practicality.
The above is the preferred embodiment of the present invention, it is noted that for those skilled in the art
For, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications are also considered as
Protection scope of the present invention.
Claims (2)
1. it is a kind of for the displacement of oil field injection and extraction well pattern exploitation PRODUCTION FORECASTING METHODS, it is characterised in that：The method includes following step
Suddenly：
(1) for different well pattern types, using equivalent flow resistance method, conventional reservoir water drive well pattern exploitation capability forecasting is set up
Model；
(2) formal similitude is adopted using note, displacement coefficient of colligation is introduced in the productivity prediction model that step (1) is set up,
It is promoted to many types of reservoir and displacement development scheme；
(3) Analysis and Screening can embody the displacement development scheme feature and the relevant parameter being had a major impact to production capacity result；
(4) according to the actual parameter of Oil Field, study well pattern type using numerical reservoir simulation method foundation and opened with displacement
Numerical model under originating party formula；
(5) using the numerical model set up in the productivity prediction model and step (4) set up in step (2), analytical procedure is calculated
(3) the single factor test dependency relation of characteristic parameter and displacement coefficient of colligation in；
(6) choosing influences the major parameter of the displacement mode development effectiveness, produces multigroup numerical simulation to grind using orthogonal array
Study carefully scheme, calculate multigroup production capacity result；
(7) according to the single factor test dependency relation obtained in step (5), based on the production capacity result obtained in step (6), through many
First linear regression obtains the empirical equation of displacement coefficient of colligation, and the production capacity for then obtaining corresponding flooding pattern displacement development scheme is pre-
Survey model；
(8) calculated using Artificial Neural Network, method for numerical simulation and field case, respectively to the productivity prediction model
Carry out Accuracy Verification.
2. a kind of PRODUCTION FORECASTING METHODS for oil field injection and extraction well pattern displacement exploitation as claimed in claim 1, it is characterised in that：
The citation form of displacement coefficient of colligation is：
α=F (X1,X2,...,Xn)
In formula：α is displacement coefficient of colligation, zero dimension；X1, X2..., XnThe correlated characteristic of respectively studied displacement development scheme
Parameter.
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| CN109522583A (en) * | 2018-08-13 | 2019-03-26 | 唐山冀油瑞丰化工有限公司 | A kind of heterogeneity boundary for stratified reservoir development sequence combination determines method |
| CN109614736A (en) * | 2018-12-24 | 2019-04-12 | 中国海洋石油集团有限公司 | A kind of determination method of the exploitation of offshore viscous oil field steam soak directional well and straight well production capacity multiple |
| CN110359892A (en) * | 2019-08-07 | 2019-10-22 | 刘涛 | A kind of steam drive scheme optimization design method based on reservoir condition |
| CN110750939A (en) * | 2019-09-09 | 2020-02-04 | 中国石油化工股份有限公司 | Method for improving prediction precision of heavy oil thermal recovery potential based on large sample orthogonal design table |
| CN111986041A (en) * | 2019-05-22 | 2020-11-24 | 中国石油天然气股份有限公司 | Oil reservoir development method and device |
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