CN109653725A - A layer water flooding degree log interpretation method is stored up based on sedimentary micro and the mixed of rock phase - Google Patents
A layer water flooding degree log interpretation method is stored up based on sedimentary micro and the mixed of rock phase Download PDFInfo
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Abstract
The present invention, which provides, a kind of stores up a layer water flooding degree log interpretation method based on sedimentary micro and the mixed of rock phase, comprising: carries out fine correlation and the division on stratum；Carry out the sort research of sedimentary micro-rock phase；Establish four sexual intercourse plates of each facies tract, the log interpretation model for being suitble to research area is mutually established by sedimentary micro-rock, and real data is handled for foundation with sedimentary micro-rock phase discrimination model, the otherness of all kinds of reservoir well log interpretations is analyzed on this basis；Store up a layer water out behavior to mixed using the Water Flooding Layer quantitative evaluation method based on entropy weight and conduct a research, establish it is mixed stores up a layer Water Flooding Layer Comprehensive Evaluation standard, and mark off reservoir water flooding rank, sum up interval of interest waterflooding pattern.The method increase the mixed development degrees and ultimate recovery for storing up layer oil reservoir reserves out of control, effectively reduce Production Decline Prediction of Oilfield amplitude, extend the stable yields time limit in oil field, hence it is evident that improve oil reservoir ultimate recovery, achieve obvious development effectiveness and benefit.
Description
Technical field
The present invention relates to oil-gas field development technical field, especially relate to a kind of mixed based on sedimentary micro and rock phase
Store up a layer water flooding degree log interpretation method.
Background technique
About the research of peperite, " mixed deposit object " (mixed sediments) most is proposed early in Mount in 1984
Concept, to state the product of terrigenous clastic Yu carbonate mixed deposit, and " peperite " word by poplar towards green and Sha Qingan
It is proposed that, for characterizing this special depositional phenomenon, peperite refers to terrigenous clastic and carbonate particle and plaster in nineteen ninety
A kind of sedimentary rock of mixed life together belongs to the transitional type between typical terrigenous clastic rock and carbonate rock.After 2000, Guo Fu
The it is proposeds such as raw characterize the alternating layers that terrigenous clastic rock and carbonatite are in " Hunji sequence " this term or sandwich combination is mixed and sunk
Product, peperite research are further strengthened, and the governing factor research of mixed deposit is more comprehensive.
Geologic analysis research is one of the main contents of reserves of taping the latent power the waterflooding oil field middle and later periods, it is Oilfield adjustment
Development plan, optimization flooding pattern and the important evidence for improving recovery ratio.Since nineteen seventies, all exist both at home and abroad
Try to explore the water out behavior using distinct methods research water controlled field.Nineteen forty-two A Erqi (Archie) proposes famous
Archie formula, two most basic parameters being put forward for the first time in well log interpretation and explanation relational expression, make well logging start to become
The important method of evaluating reservoir, to establish the basis of Geologic analysis research.
Petrophysics experiment is the basis of logging in water flooded layer evaluation, and research is initially also since rock core.Have both at home and abroad
Guan expert has done numerous studies in this respect.External expert, which studies it, experienced from most basic rock-electric test to digital simulation
The process of water logging, domestic aspect most representational to the research of Water Flooding Layer has been obtained between resistivity and water saturation
" u "-shaped and serpentine curve, it is indicated that when in stratum inject fresh water when, formation water resistivity is no longer with water saturation relationship
Linear relation, but be in U-typed or " S " type curvilinear characteristic, it is indicated that the same Rt value can correspond to different saturation degrees, i.e. resistivity
Height is not necessarily oil reservoir, and resistivity is low to be not necessarily water layer, provides reliable experiment for final accurate determining remaining oil distribution
Foundation.
Logging in water flooded layer method is the means that people recognize Water Flooding Layer, relies on well logging in water controlled field development process
The parameter and more problems of solution, such as porosity, permeability, saturation degree, shale content, median grain diameter, producing water ratio, effective thickness
Deng.Building full logging in water flooded layer series is the premise for doing water controlled field development logging well and explaining and analyzing.Traditional well logging side
Method includes: 0.25 meter of gradient, 0.45 meter of gradient, 2.5 meters of gradient arrays, natural potential, natural gamma, lateral, sound wave, microballoon
Shape focusing, compensation density, hole diameter and drift log etc..C/O is more fast than spectrometry logging technology and the development of PND logging technique in recent years
Speed more intuitive, more accurate can obtain water logging information.
Logging Interpretation Methods For Water-flooded Layer mainly includes three parts content: Conventional Logs qualitative discrimination Water Flooding Layer quantifies
Seek the means of interpretation of remaining oil saturation and moisture content, comprehensive distinguishing Water Flooding Layer.Either qualitative or quantitative identification, mathematics
The introducing of method all gives a pushing effect on the explanation of Water Flooding Layer, as Artificial Neural Network, gray system are managed
By method, fuzzy statistical method, Grey Identification, normal distribution method and support vector machine method.
China's most oilfields entered in High water cut mining phase, waterflooding extraction ratio is high.Numerous oil field developments is real
It tramples and shows that waterflooding extraction makes most oilfields be in more wells, multilayer, multi-direction water breakthrough stage, oil field average moisture content has been more than
80%, but oil recovery factor generally only has 30% or so, and there are also nearly 70% residual petroleum reserves to remain on underground.Due to
Reservoir water flooding complex, Remaining Oil Distribution understanding is unclear, causes oil field later period exploitation difficulty increasing.It is especially grey
The mixed oil reservoir for storing up layer of rock-sandstone, recovery percent of reserves is lower, and remaining oil distribution is more complicated, thus the mixed solution for storing up layer water flooding degree
It releases work to need to be resolved in mixed store up in layer oil reservoir Tapping Residual Oil, but at present to the mixed explanation for storing up layer water flooding degree
Significance not yet causes enough attention.
Domestic and international each oil gas field has carried out a lot of research work of logging in water flooded layer evaluation, to clastic reservoir rock Water Flooding Layer
Well log interpretation has had significant progress, but ignored always to the mixed evaluation for storing up layer water flooding degree, remains in
Qualitatively, the state of sxemiquantitative, there are no a kind of methods of maturation can store up a layer water flooding degree to mixed and evaluate.
Existing logging in water flooded layer evaluation method fails well logging, geology and OILFIELD DEVELOPMENT DATA sufficiently to combine, existing
There is method to rely on empirical equation too much and has ignored influence of the waterflooding extraction to original model.
From the point of view of current research conditions both at home and abroad, logging in water flooded layer evaluates relative maturity, but stores up layer for mixed
The main reason for evaluation of water flooding degree is ignored always, forms the problem is due to mixed deposit be in sedimentology one it is relatively new
Research field, refer mainly in same depositional environment, the hybrid maglev of terrigenous clastic and carbonate covers mixed product
Three kinds of rock, Hunji sequence and fragmentary mixed product geological phenomenons, so being caused in mixed product reservoir study due to its geologic feature complexity
It is very big that water flooding degree evaluates difficulty.
The secondary cause for forming the problem is that research is association of activity and inertia in water flooding degree evaluation study in the presence of very big difficulty.Ground
Matter, well logging, oil field development dynamic data etc. do not fully utilize so far, do not reach the good practical stage, also do not take
Obtain great breakthrough and achievement.We have invented a kind of new to store up a layer water logging journey based on sedimentary micro and the mixed of rock phase thus
Log interpretation method is spent, solves the above technical problem.
Summary of the invention
The object of the present invention is to provide one kind to store up a layer water out behavior for mixed, by the concept of proposition " water logging index ",
Realize based on " entropy weight " it is mixed store up layer Water Flooding Layer quantitative assessment a layer water logging journey is stored up based on sedimentary micro and the mixed of rock phase
Spend log interpretation method.
The purpose of the present invention can be achieved by the following technical measures: store up a layer water based on sedimentary micro and the mixed of rock phase
Degree log interpretation method is flooded, being somebody's turn to do the mixed layer water flooding degree log interpretation method that store up based on sedimentary micro and rock phase includes:
Step 1, carry out fine correlation and the division on stratum；Step 2, mixed product Sedimentary Micro Facies plane exhibition is mutually researched and analysed in conjunction with well logging
Cloth and evolutionary process, and the sort research of sedimentary micro-rock phase is carried out on this basis；Step 3, the four of each facies tract are established
Sexual intercourse plate is mutually established the log interpretation model for being suitble to research area by sedimentary micro-rock, and with sedimentary micro-rock
Phase discrimination model is to analyze the otherness of all kinds of reservoir well log interpretations on this basis according to handling real data；
Step 4, it stores up a layer water out behavior to mixed using the Water Flooding Layer quantitative evaluation method based on entropy weight and conducts a research, establish and mixed stores up layer
Water Flooding Layer Comprehensive Evaluation standard, and reservoir water flooding rank is marked off, sum up interval of interest waterflooding pattern.
The purpose of the present invention can be also achieved by the following technical measures:
In step 1, coring data, log data, well-log information is made full use of to carry out Strata Comparison and subdivision, on stratum
On the basis of when segmenting, different sedimentary micro types is marked off by core observation, the analysis and research of analytical test data,
Using the study of micro-sedimentary phase of core hole as a result, in conjunction with Logging data analysis, corresponding log phase mode is established.
Step 2 includes:
Step 2a carries out stratigraphical correlation and subdivision, and the division of unified layer group is carried out within the scope of oil field, gets at different levels layers of group clear
The Spatial Variation of reservoir is mutually studied for sedimentary micro-rock and provides accurate chronostratigraphic architecture；
Step 2b carries out deposit microfacies analysis, by analyzing coring data, is divided according to lithologic criteria, paleontological marker
Analyse depositional environment, so according to the ingredient of sedimentary sand bodies, detrital grain granularity, sort these features and sedimentary sand bodies
Thickness in monolayer, longitudinal combination form, between the oiliness and underlying stratum of sedimentary structure, sedimentary sequence feature and lithosomic body
These geologic(al) factors of contact relation analyze individual well, comprehensive descision sedimentary micro；
Step 2c carries out rock phase-electrofacies analysis, based on key well study of micro-sedimentary phase, comprehensive utilization rock core,
Grain size analysis, well logging, these data of logging well extract several electrical parameters of reflection sedimentary micro, build using Principal Component Analysis
The vertical mixed rock phase-well logging phase discrimination model for storing up layer, and then carry out sedimentary micro-rock phase-well logging phase sort research.
In step 3, sedimentary micro-rock phase control four property of reservoir, i.e. lithology, physical property, oiliness and electrical property, benefit
It is mutually constrained with sedimentary micro-rock and carries out well log interpretation, accurately to seek various reservoir parameters.
Step 3 includes:
Step 3a carries out log data pretreatment and standardization using trend surface analysis；Number is carried out to well-log information
The depth correction of change and well-log information, environmental correction, to improve logging data quality；Normalizationof Logging Data is carried out simultaneously, with
Instrument calibration error, manual operation error, correction error are eliminated, so that well-log information has unified quarter in full oil field range
Degree；
Step 3b carries out four sexual intercourse of reservoir research, is interpretation model to disclose the relationship of reservoir parameter and log response
Foundation provide geologic basis；
Step 3c establishes microfacies log interpretation model, the conclusion and related research result obtained according to four sexual intercourse, with heavy
Product phase belt restraining log interpretation model is established as theoretical direction, using Core-Calibrated Logging method, establishes a variety of microfacies-lithofacies and establishes
Log interpretation model, be related to shale content, median grain diameter, porosity, permeability, irreducible water saturation, residual oil saturation with
And oil-water relative permeability these reservoir parameters；
Step 3d carries out well log interpretation and processing, according to established Reservoir Parameter Interpreting Model Both, according to sedimentary micro-
The thinking of rock phase belt restraining logging Reservoir Evaluation, point not more wells processing of isopic zone progress well-log information and explanation, then to right
The well-log information of well is carried out by well processing, point-by-point or full by layer output porosity, shale content, permeability, median grain diameter, oil-containing
With degree, these Main Reservoirs parameter values of water saturation and each borehole logging tool interpretation results figure.
Step 4 includes:
Step 4a, determines Water Flooding Layer quantitative assessment parameter, and selection has the sedimentary micro-of different degrees of influence to Water Flooding Layer
Rock phase, producing water ratio, oil saturation, resistivity, residual oil saturation, irreducible water saturation, porosity and permeability this 8
Parameter is as Water Flooding Layer quantitative assessment parameter.
Step 4b, is normalized, and by the processing of these parameter nondimensionalizations, obtains fuzzy matrix for assessment R, normalizes
To [0,1] section；
Step 4c, using entropy assessment as the method for determining weight；
Step 4d determines water logging index Ifw
Ifw=WB (19)
Ifw=(i1,i2,i3,…in) (20)
IfwWater logging index, is multiplied with weight W with matrix B, that is, blj of specific various parameters to be evaluated obtain one it is to be evaluated
A set of water logging index of valence sample,
Wherein,And il∈ (0,1) (l=1,2,3 ..., n)；That is, ilIt is worth bigger, water
It is weaker to flood degree, ilIt is worth smaller, water flooding degree is stronger；N is the number of parameters for participating in evaluation in formula；M is to participate in evaluation sample
Number.
In step 4d, for the mixed geology characteristic for storing up layer oil reservoir, the production of comprehensive oil reservoir is practical, and Water Flooding Layer is divided into
Six grades: Ifw>=0.50 is non-water logging, 0.45≤Ifw< 0.50 is weak water logging, 0.40≤Ifw< 0.45 be weaker water logging, 0.35≤
Ifw< 0.40 is medium water logging, 0.30≤Ifw< 0.35 is stronger water logging, Ifw< 0.30 is strong water logging, quantitative by Water Flooding Layer
Evaluation, sketches out, obtains the plan view of water out behavior in the plane water flooding degree.
A layer water flooding degree log interpretation method is stored up based on sedimentary micro and the mixed of rock phase in the present invention, is related to oil gas
Submerged Layer Logging Interpretation research field in the stable yields research of field is realized by the concept of proposition " water logging index " and is based on " entropy weight "
It is mixed store up a layer Water Flooding Layer quantitative assessment, establish that a set of accurate, feasible evaluation is mixed to store up a layer well log interpretation side for water flooding degree
Method.This method propose mutually studied using sedimentary facies research with rock jointly to the mixed method stored up layer and carry out evaluation of classification；It mentions
The method for mutually establishing by sedimentary micro-rock and being suitble to the log interpretation model in research area and carrying out well log interpretation is gone out；Mainly
For the mixed quantitative interpretation stored up layer and carry out water out behavior.The present invention can carry out calmly in mixed store up in layer oil reservoir of complex lithology
Well log interpretation is measured, sort research is mutually refined by sedimentary micro-rock, the mixed Explanation Accuracy for storing up layer can be improved；It realizes
It is mixed to store up a layer quantitative assessment for oil reservoir water out behavior, solve the problems, such as that mixed to store up layer oil reservoir Geologic analysis difficult.This is based on
The mixed of sedimentary micro and rock phase stores up a layer water flooding degree log interpretation method to solve water out behavior in development process complicated, surplus
The problems such as the problem of excess oil regularity of distribution understanding is unclear, reserves difficulty increases, this method is mixed in multiple limestone-sandstone and is stored up
It is applied in layer oil reservoir, improves the mixed development degree and ultimate recovery for storing up layer oil reservoir reserves out of control, effectively reduce
Production Decline Prediction of Oilfield amplitude extends the stable yields time limit in oil field, hence it is evident that improves oil reservoir ultimate recovery, achieves obvious exploitation effect
Fruit and benefit.
Detailed description of the invention
Fig. 1 is the mixed tool for storing up layer water flooding degree log interpretation method of the invention based on sedimentary micro and rock phase
The flow chart of body embodiment；
Fig. 2 is carbonate bank microfacies histogram in a specific embodiment of the invention；
Fig. 3 is loch bar microfacies mode histogram in a specific embodiment of the invention；
Fig. 4 is sedimentary micro-rock phase plane spread figure in a specific embodiment of the invention；
Fig. 5 is loch bar shale content (Vsh) and porosity (por) relationship in a specific embodiment of the invention
Figure；
Fig. 6 is clastic rock logging response character schematic diagram in a specific embodiment of the invention；
Fig. 7 is carbonate rock logging response character schematic diagram in a specific embodiment of the invention；
Fig. 8 is well log interpretation result map in a specific embodiment of the invention；
Fig. 9 is the formation factor F- reservoir porosity Φ relational graph of clastic rock in a specific embodiment of the invention；
Figure 10 is the formation factor F- reservoir porosity Φ relational graph of carbonate rock in a specific embodiment of the invention；
Figure 11 is clastic rock Resistivity index I- water saturation Sw relational graph in a specific embodiment of the invention；
Figure 12 is carbonate rock Resistivity index I- water saturation Sw relationship in a specific embodiment of the invention
Figure；
Figure 13 is to mix to store up a layer water flooding degree flat distribution map in a specific embodiment of the invention.
Specific embodiment
To enable above and other objects, features and advantages of the invention to be clearer and more comprehensible, preferably implementation is cited below particularly out
Example, and cooperate shown in attached drawing, it is described in detail below.
A layer water flooding degree well log interpretation is stored up based on sedimentary micro and the mixed of rock phase as shown in FIG. 1, FIG. 1 is of the invention
The flow chart of method.Detailed process are as follows:
Step 101 carries out Strata Comparison and subdivision first with coring data, log data, well-log information etc., on stratum
On the basis of when segmenting, different sedimentary micro classes is marked off by researchs such as core observation, the analyses of analytical test data
Type establishes corresponding log phase mode using the study of micro-sedimentary phase of core hole as a result, in conjunction with Logging data analysis.
Step 102 mutually researchs and analyses mixed product Sedimentary Micro Facies planar distribution and evolutionary process in conjunction with well logging, and in this base
The sort research of sedimentary micro-rock phase is realized on plinth.
Carry out study of micro-sedimentary phase for the mixed layer that stores up, according to the difference of lithofacies and logging character, by sedimentary micro and rock
Stone mutually carries out common category evaluation, so that sedimentary micro-rock is mutually finely divided research, establishes the criteria for classifying in research area.
1. stratigraphical correlation and subdivision: in depth carrying out stratigraphical correlation and subdivision, unified layer could be carried out within the scope of oil field
The division of group, gets the Spatial Variation of at different levels layers of group reservoir clear, with mutually studying whens providing accurate equal for sedimentary micro-rock
Layer screen work.
2. deposit microfacies analysis: by analyzing coring data, analyzing deposition ring according to lithologic criteria, paleontological marker etc.
Border, and then according to the features such as the ingredient of sedimentary sand bodies, the granularity of detrital grain, sorting (Fig. 2 Fig. 3) and the list of sedimentary sand bodies
Thickness degree, longitudinal combination form (single layer, alternating layers, interlayer etc.), sedimentary structure, the oiliness of sedimentary sequence feature and lithosomic body,
The geologic(al) factors such as the contact relation (integration, filling cutting) between underlying stratum analyze individual well, comprehensive descision deposition
Microfacies (Fig. 4).
3. rock phase-electrofacies analysis: based on key well study of micro-sedimentary phase, comprehensively utilizing rock core, grain size analysis, record
The data such as well, well logging extract several electrical parameters of reflection sedimentary micro, establish the mixed rock for storing up layer using Principal Component Analysis
Stone phase-well logging phase discrimination model, and then carry out sedimentary micro-rock phase-well logging phase sort research.
Step 103, " four property " relationship plate for establishing each facies tract, mutually establish suitable research by sedimentary micro-rock
The log interpretation model in area, and be that foundation handles real data with sedimentary micro-rock phase discrimination model, it is basic herein
On analyze the othernesses of all kinds of reservoir well log interpretations.
Mixed to store up that layer sedimentary system is changeable, Reservoir type is various, oil water relation is complicated, corresponding logging response character also has it
Special changing rule, by think sedimentary micro-rock phase control " four property " of reservoir, i.e. lithology, physical property, oil-containing
Property and electrical property, thus carry out well log interpretation is mutually constrained using sedimentary micro-rock, accurately to seek various reservoir parameters
1. log data pretreatment and standardization: this step work mainly carries out digitlization and well-log information to well-log information
The work such as depth correction, environmental correction, to improve logging data quality；Normalizationof Logging Data is carried out simultaneously, to eliminate instrument
The various errors such as the device error of graduation, manual operation error, correction error, so that well-log information has unification in full oil field range
Scale enhances its comparativity, improves Explanation Accuracy.Mainly utilize trend surface analysis.
Trend surface analysis is the quantitative homing method that Doveton is proposed, the song that this method is represented with a kind of mathematical function
The distribution of a certain feature of geologic body spatially is gone to be fitted or approach in face, i.e., to the logging response character value of more well index beds with
Its geodetic coordinates carries out multi-trend fitting, and thinks that there is consistency in its fitting face and ground layer original trend surface.
Reservoir 2. " four property " relationship research: reservoir " four property " relationship refers to the lithology, physical property, oiliness and electrical property of reservoir
Between relationship (Fig. 5), the purpose of " four property " relationship research be disclose reservoir parameter and log response relationship, be interpretation model
Foundation provide geologic basis.Table 1 is shown in different sedimentary micros-lithofacies porosity, permeability, shale content and granularity
Correlation between value, with the good relationship of median grain diameter, related coefficient exists reservoir shale content as can be seen from Table 1
0.8 or so, it also can reflect out the good relationship of the two from shale content and median grain diameter relational graph (Fig. 5).Fig. 5 is only many
It one in more interaction figures, needs to cross one by one between four property, finds correlativity.It needs to carry out before four sexual intercourse research
The analysis of reservoir logging response character, Fig. 6, Fig. 7 are the well logging individual features explained in the case of different lithofacies, such as sandstone in Fig. 6
GR and SP have the feature to become smaller, and the GR and SP of limestone are substantially close with mud stone in Fig. 7, corresponding by qualitatively logging well
Analysis carry out the four sexual intercourse analysis of different type reservoir.
1 lithology of table, physical property and electrical parameter related coefficient count
3. the foundation of microfacies log interpretation model: establishing accurate reservoir parameter log interpretation model, be quantitative assessment oil
The basis of hiding.According to conclusion and related research result that " four property " relationship obtains, built with sedimentary facies belt constraint log interpretation model
It stands and divides a variety of microfacies such as carbonate bank, loch bar-lithofacies to establish using " Core-Calibrated Logging method " for theoretical direction
Log interpretation model relates generally to shale content, median grain diameter, porosity, permeability, irreducible water saturation, residual oil saturation
The interpretation model of the reservoir parameters such as degree and oil-water relative permeability.
Porosity calculation value is directly related to the accuracy of oil saturation, computing permeability value." four property " relationship research
Show porosity and interval transit time good relationship, calculates porosity using interval transit time.
F1 phase: φ=0.2681AC-53.78 (R=0.84) (1)
F2 phase: φ=0.3134AC-62.69 (R=0.81) (2)
F3 phase: φ=0.3084AC-61.89 (R=0.81) (3)
F4 phase: φ=0.2559AC-46.26 (R=0.83) (4)
F5 phase: φ=0.4751AC-100.82 (R=0.76) (5)
Wherein, φ: porosity；AC: interval transit time, a kind of log data；R: the related coefficient of regression formula.
Permeability is to evaluate the important parameter of reservoir." four property " relationship is studies have shown that in different microfacies permeabilities and granularity
There is good correlation in value, it is contemplated that porosity be influence permeability main factor, therefore, in conjunction with median grain diameter with
Porosity establishes permeability interpretation model.
F1 phase: K=1.025e0.1135·φ(R=0.80) (6)
F2 phase: Lgk=5.64Lg (φ)+3.07Lg (Md) -2.43 (R=0.87) (7)
F3 phase: Lgk=4.88Lg (φ)+2.75Lg (Md) -1.91 (R=0.89) (8)
F4 phase: Lgk=5.54Lg (φ)+3.95Lg (Md) -2.29 (R=0.84) (9)
F5 phase: Lgk=6.41Lg (φ)+3.98Lg (Md) -2.45 (R=0.95) (10)
Wherein, K: permeability is exactly an infiltrative parameter for reservoir；Md: median grain diameter, it can be understood as in sandstone
The diameter of the average grain of the grains of sand.Due to being based on carbonate, so not having to the formula of Md median grain diameter in F1 phase.
How accurately to calculate remaining oil saturation using conventional logging information is a key technology.Water Flooding Layer rock object
Reason experiment shows: the resistivity index (I) and water saturation (S of Water Flooding Layer rockW) it is a straight line, symbol in log-log coordinate
Close Archie formula I=b/Sw nThis model, therefore the water saturation Sw of Water Flooding Layer can be calculated using Archie formula.Its
Computation model are as follows:
Initial stage: Sw=[abRw/(φm·Rt)]1/n (11)
Adjustment period: Sw=[abRz/(φm·Rt)]1/n (12)
So=1-Sw (13)
A is lithology factor, and b is lithologic index, and ab is relevant two number with the property of rock.M is cementation factor, and n is
Saturation exponent, four are constant in certain formations, are the key parameters in Archie formula.Rw:；Rt:；Sw: aqueous full
And degree, it can be understood as content of the water flooding in rock crevice；So: oil saturation, it can be understood as oil is in rock crevice
In content, So+Sw=1.φ: porosity；Log interpretation method based on sedimentary micro and rock phase is needed for inhomogeneity
The reservoir of type carries out a, b, m, and the calculating of n parameter, such as Fig. 9-Figure 12, different type reservoir obtains different parameters, is mainly used for
In geophysical log.The mineral grain of rock is formed, it is usually nonconducting in addition to shale.Therefore aqueous without shale
The resistivity of sedimentary rock is determined substantially by the resistivity of institute's brackish water and porosity (Φ) in hole.The resistivity of this rocks
(R0) and the brine resistivity (Rw) that is full of it is directly proportional, i.e. Rw=F*R0, F is known as formation factor in formula.To given rock stratum,
Formation factor F is held essentially constant.Formation factor (F) is related with porosity Φ and pore structure, rule-of-thumb relation are as follows: F=a/ ψ
M, a, m are coefficients related with pore structure in formula.According to electric logging data, can be calculated using the relational expression of F and porosity
Porosity or known porosity, find out formation factor using it, further to find out water saturation.I is when rock is aqueous
When with oil, characteristic distributions of the grease in hole, water is enclosed in rock surface, by being distributed in hole center, therefore, oil-bearing rock
Resistivity Rt it is higher than resistivity of rock when aqueous, general oil saturation is higher, and the resistivity of oil-bearing rock is higher, I=
Rt/R0, ROIt is rock resistivity.
4., well log interpretation and processing: according to established Reservoir Parameter Interpreting Model Both, according to sedimentary micro-rock facies tract
The thinking of logging Reservoir Evaluation is constrained, the not more wells processing of isopic zone progress well-log information are divided and is explained.Then to the well logging to well
Data is carried out by well processing, and computer is point-by-point or by layer output porosity, shale content, permeability, median grain diameter, oil-containing saturation
The various Main Reservoirs parameter values such as degree, water saturation and each borehole logging tool interpretation results figure, as shown in figure 8, Fig. 8 is the knot explained
Fruit, porosity size, permeability size etc..
The step is log data by explaining, obtain a series of parameter, these parameters are that the Water Flooding Layer of back is commented
Valence provides basic data body, and the main formulas of explanation is exactly Archie formula, with rock phase-two kinds of sedimentary facies classification method not
Different explanation templates is established in same substratum classification, is then calculated separately, is obtained more accurate data, this method is directed to mix
Layer is stored up, mixing and storing up layer is exactly that two or more lithology mix, so first to separate them before well log interpretation
Step 104 stores up a layer water out behavior and conducts a research using the Water Flooding Layer quantitative evaluation method based on " entropy weight " to mixed,
It establishes to mix and stores up a layer Water Flooding Layer Comprehensive Evaluation standard, and mark off reservoir water flooding rank, sum up interval of interest waterflooding pattern.
The oil that water drive replaces oil reservoir interstitial space is injected, the reduction of oil reservoir oil saturation is made, water saturation rises.In addition it infuses
Enter after water mixes with undisturbed formation water, the electric conductivity on stratum is changed, so that a series of variation also occurs therewith for log response.
The present invention uses the evaluation method based on " entropy weight " to carry out Water Flooding Layer quantitative assessment, comprehensive using multiple parameters fitting water flooding degree
Evaluation parameter " water logging index " carrys out quantitative assessment Water Flooding Layer.Main contents are as follows:
1. Water Flooding Layer quantitative assessment parameter determine: specific oil reservoir research in find, sedimentary micro-rock phase, producing water ratio,
Oil saturation, resistivity, residual oil saturation, irreducible water saturation, porosity and permeability have in various degree Water Flooding Layer
Influence, select this 8 parameters as Water Flooding Layer quantitative assessment parameter.
2. normalized: since there are dimensions, the difference of the order of magnitude between parameters, by these parameter nondimensionalizations
Processing, obtains fuzzy matrix for assessment R, generally normalizes to [0,1] section.This process is practical be exactly seek parameter be subordinate to letter
Number, the size of each Parameter Decision Making factor can be acquired using membership function.
3. weight determines: using " entropy weight " method as the method for determining weight.The concept of entropy is derived from thermodynamics, original justice
As follows: when system is likely to be at several different conditions, the probability that every kind of state occurs is Pi(i=1,2 ... n) when, then system
Entropy are as follows:
H (x): entropy weight, P (xi): the probability that every kind of state occurs.
Entropy H (x) is really a kind of measurement of systematic uncertainty.From the above equation, we can see that system entropy has extremum property, when
System be in various state probabilities be equiprobability when, Pi(i=1,2 ... n), and entropy is maximum, is by=1/n
It follows that the entropy of system also increases, but increased speed ratio n is much smaller when the status number n of system increases.
If system only exists in a kind of state, and its probability of occurrence Pi=1/n, then the entropy of system is equal to zero, illustrates the system without not
Certainty, system can determine completely, it may be assumed that
Work as bijWhen=0,
Bij is matrix to be evaluated.H(Pj) characterization parameter
By the extremum property of entropy it is found that the level value of each parameter is closer, entropy is bigger.With maximum entropy, i.e. H (Pj)max
=lgn is normalized entropy obtained by above formula, obtains characterization parameter H (Pj) relative importance entropy:
E (Pj) is the entropy of calculated j-th of index.
Wj: the weight vectors eventually formed.
Different weights corresponding to each parameter are acquired, weight vectors W=(w is obtained1,w2,w3,…wm)。
4. water logging index IfwIt determines
Ifw=WB (19)
Ifw=(i1,i2,i3,…in) (20)
IfwWater logging index, with weight W and the matrix B of specific various parameters to be evaluated be (bij) is multiplied obtain one to
A set of water logging index of sample is evaluated,
Wherein,And il∈ (0,1) (l=1,2,3 ..., n).That is, ilIt is worth bigger, water logging journey
Spend weaker, ilIt is worth smaller, water flooding degree is stronger.
To sum up, being exactly that the data in a certain number of wells is selected to form sample first, this meter of entropy weight is then utilized
Calculation method is calculated by a certain number of samples, obtains a weight W, this weight vectors is the weight of each parameter,
Then this parameter of the water logging index Ifw of each substratum of each well can be calculated by weight, it can be understood as Multiple factors
It is multiplied by different weights and then adds up to obtain a number, the degree for the judgement water logging that this number can integrate, but arrive bottom water
Any degree is flooded, the research of next step evaluation criterion is also carried out.Water Flooding Layer assessment method is also to have introduced thermodynamics side
A kind of mathematical method in face, this method is also not innovation, but this method has been used in the mixed water logging for storing up layer and commented by we
On valence, and well log interpretation in front is classification explanation, so the basis of watered out layers evaluation is the parameter system of classification, thus
Calculated result is also classification.
For the mixed geology characteristic for storing up layer oil reservoir, the production of comprehensive oil reservoir is practical, Water Flooding Layer is divided into six grades: non-water logging
(Ifw>=0.50), weak water logging (0.45≤Ifw< 0.50), weaker water logging (0.40≤Ifw< 0.45), medium water logging (0.35≤Ifw
< 0.40), stronger water logging (0.30≤Ifw< 0.35), strong water logging (Ifw< 0.30).It, can be by Water Flooding Layer quantitative assessment
Water flooding degree sketches out in the plane, obtains the plan view of water out behavior, and Figure 13 is exactly that water flooding degree is sketched in the plane
It is obtained after out, this plan view can apply more intuitive in oil field development.
Evaluation criterion is the division carried out according to the production regimen condition of producing well.Such as liquid aqueous 95% or more of extraction is
Strong water logging, it is that I that 80-90%, which is corresponding,fwSection, a then stronger water logging surely.As the difference of moisture content is corresponding
Interval water flooding degree it is also different, to define an evaluation criterion.
Of the invention stores up a layer water flooding degree log interpretation method based on sedimentary micro and the mixed of rock phase, stores up for mixed
The geology and development features of layer, by the research of mixed product Reservoir Depositional Characteristics and sedimentary facies planar distribution, evolutionary process etc., to mixed
It stores up layer and carries out study of micro-sedimentary phase, and rock is carried out to all kinds of sedimentary micros and is mutually segmented, establish the mixed classification standard for storing up layer；
Then carry out clastic reservoir rock and carbonate reservoir well logging difference appraisal, divide sedimentary micro-by " four property " relationship research
Rock mutually establishes log interpretation model, carries out clastic reservoir rock and carbonate reservoir classification logging evaluation, accurately calculates oil-containing
Saturation degree；Water Flooding Layer quantitative assessment is carried out on this basis, and then is established to mix and stored up a layer waterflooding pattern.
Claims (7)
1. storing up a layer water flooding degree log interpretation method based on sedimentary micro and the mixed of rock phase, which is characterized in that should be based on heavy
Product microfacies and the mixed layer water flooding degree log interpretation method that store up of rock phase include:
Step 1, carry out fine correlation and the division on stratum；
Step 2, mixed product Sedimentary Micro Facies planar distribution and evolutionary process are mutually researched and analysed in conjunction with well logging, and on this basis into
The sort research of row sedimentary micro-rock phase；
Step 3, the four sexual intercourse plates for establishing each facies tract are mutually established the well logging for being suitble to research area by sedimentary micro-rock
Interpretation model, and be to be analyzed on this basis according to handling real data with sedimentary micro-rock phase discrimination model
The otherness of all kinds of reservoir well log interpretations；
Step 4, it stores up a layer water out behavior to mixed using the Water Flooding Layer quantitative evaluation method based on entropy weight and conducts a research, establish mixed product
Reservoir Water Flooding Layer Comprehensive Evaluation standard, and reservoir water flooding rank is marked off, sum up interval of interest waterflooding pattern.
2. according to claim 1 store up a layer water flooding degree log interpretation method based on sedimentary micro and the mixed of rock phase,
It is characterized in that, in step 1, coring data, log data, well-log information is made full use of to carry out Strata Comparison and subdivision,
On the basis of Strata Comparison and subdivision, different sedimentary micros is marked off by core observation, the analysis and research of analytical test data
Type establishes corresponding log phase mode using the study of micro-sedimentary phase of core hole as a result, in conjunction with Logging data analysis.
3. according to claim 1 store up a layer water flooding degree log interpretation method based on sedimentary micro and the mixed of rock phase,
It is characterized in that, step 2 includes:
Step 2a carries out stratigraphical correlation and subdivision, and the division of unified layer group is carried out within the scope of oil field, gets at different levels layers of group reservoir clear
Spatial Variation, mutually study accurate chronostratigraphic architecture be provided for sedimentary micro-rock；
Step 2b carries out deposit microfacies analysis, and by analyzing coring data, it is heavy to be analyzed according to lithologic criteria, paleontological marker
Product environment, so according to the ingredient of sedimentary sand bodies, detrital grain granularity, sort the single layers of these features and sedimentary sand bodies
Thickness, longitudinal combination form, sedimentary structure, the oiliness of sedimentary sequence feature and lithosomic body, the contact between underlying stratum
It is related to that these geologic(al) factors analyze individual well, comprehensive descision sedimentary micro；
Step 2c carries out rock phase-electrofacies analysis, based on key well study of micro-sedimentary phase, comprehensively utilizes rock core, granularity
Analysis, well logging, these data of logging well extract several electrical parameters of reflection sedimentary micro, establish using Principal Component Analysis mixed
Rock phase-well logging phase discrimination model of layer is stored up, and then carries out sedimentary micro-rock phase-well logging phase sort research.
4. according to claim 1 store up a layer water flooding degree log interpretation method based on sedimentary micro and the mixed of rock phase,
It is characterized in that, in step 3, sedimentary micro-rock phase control four property of reservoir, i.e. lithology, physical property, oiliness and electricity
Property, carry out well log interpretation is mutually constrained using sedimentary micro-rock, accurately to seek various reservoir parameters.
5. according to claim 4 store up a layer water flooding degree log interpretation method based on sedimentary micro and the mixed of rock phase,
It is characterized in that, step 3 includes:
Step 3a carries out log data pretreatment and standardization using trend surface analysis；To well-log information carry out digitlization and
The depth correction of well-log information, environmental correction, to improve logging data quality；Normalizationof Logging Data is carried out simultaneously, to eliminate
Instrument calibration error, manual operation error, correction error, so that well-log information has unified scale in full oil field range；
Step 3b carries out four sexual intercourse of reservoir research, to disclose the relationship of reservoir parameter and log response, for building for interpretation model
It is vertical that geologic basis is provided；
Step 3c establishes microfacies log interpretation model, the conclusion and related research result obtained according to four sexual intercourse, with sedimentary facies
Belt restraining log interpretation model is established as theoretical direction, using Core-Calibrated Logging method, establishes a variety of microfacies-lithofacies and establishes well logging
Interpretation model is related to shale content, median grain diameter, porosity, permeability, irreducible water saturation, residual oil saturation and oil
These reservoir parameters of water relative permeability；
Step 3d carries out well log interpretation and processing, according to established Reservoir Parameter Interpreting Model Both, according to sedimentary micro-rock
The thinking of phase belt restraining logging Reservoir Evaluation, point not more wells processing of isopic zone progress well-log information and explanation, then to well
Well-log information is carried out by well processing, point by point or by layer output porosity, shale content, permeability, median grain diameter, oil-containing saturation
Degree, these Main Reservoirs parameter values of water saturation and each borehole logging tool interpretation results figure.
6. according to claim 1 store up a layer water flooding degree log interpretation method based on sedimentary micro and the mixed of rock phase,
It is characterized in that, step 4 includes:
Step 4a, determines Water Flooding Layer quantitative assessment parameter, and selection has sedimentary micro-rock of different degrees of influence to Water Flooding Layer
This 8 parameters of phase, producing water ratio, oil saturation, resistivity, residual oil saturation, irreducible water saturation, porosity and permeability
As Water Flooding Layer quantitative assessment parameter.
Step 4b, is normalized, and by the processing of these parameter nondimensionalizations, obtains fuzzy matrix for assessment R, normalizes to
[0,1] section；
Step 4c, using entropy assessment as the method for determining weight；
Step 4d determines water logging index Ifw
Ifw=WB (19)
Ifw=(i1,i2,i3,…in) (20)
IfwWater logging index is multiplied with matrix B, that is, blj of specific various parameters to be evaluated with weight W and obtains a sample to be evaluated
This set of water logging index,
Wherein,And il∈ (0,1) (l=1,2,3 ..., n)；That is, ilIt is worth bigger, water flooding degree
It is weaker, ilIt is worth smaller, water flooding degree is stronger；N is the number of parameters for participating in evaluation in formula；M is the number for participating in evaluation sample.
7. according to claim 6 store up a layer water flooding degree log interpretation method based on sedimentary micro and the mixed of rock phase,
It is characterized in that, for the mixed geology characteristic for storing up layer oil reservoir, the production of comprehensive oil reservoir is practical, by Water Flooding Layer in step 4d
It is divided into six grades: Ifw>=0.50 is non-water logging, 0.45≤Ifw< 0.50 is weak water logging, 0.40≤Ifw< 0.45 be weaker water logging,
0.35≤Ifw< 0.40 is medium water logging, 0.30≤Ifw< 0.35 is stronger water logging, Ifw< 0.30 is strong water logging, passes through water logging
Layer quantitative assessment, sketches out, obtains the plan view of water out behavior in the plane water flooding degree.
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| CN113029908B (en) * | 2021-03-16 | 2021-11-26 | 中国石油大学(华东) | Laboratory measurement method for compact reservoir saturation index |
| CN113029908A (en) * | 2021-03-16 | 2021-06-25 | 中国石油大学(华东) | Laboratory measurement method for compact reservoir saturation index |
| CN113107464A (en) * | 2021-05-11 | 2021-07-13 | 中国石油天然气集团有限公司 | Horizontal well stepping type flooded layer identification logging method |
| CN113107464B (en) * | 2021-05-11 | 2024-05-07 | 中国石油天然气集团有限公司 | Horizontal well stepping type water flooded layer identification logging method |
| CN114427457A (en) * | 2021-09-13 | 2022-05-03 | 中国石油化工股份有限公司 | Method for determining logging pentasexual relation of tidal flat facies carbonate reservoir and logging evaluation method |
| CN114427457B (en) * | 2021-09-13 | 2022-08-05 | 中国石油化工股份有限公司 | Method for determining logging penta-relation of tidal flat phase carbonate reservoir and logging evaluation method |
| CN114482995A (en) * | 2022-03-10 | 2022-05-13 | 西南石油大学 | Fine determination method for argillaceous content of fine-grain sediment |
| CN115450611A (en) * | 2022-09-16 | 2022-12-09 | 中国地质大学（北京） | Deep carbonate rock sedimentary microphase analysis method based on random forest |
| CN117332301A (en) * | 2023-10-17 | 2024-01-02 | 大庆油田有限责任公司 | Flooding layer interpretation method for reservoir classification evaluation |
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