CN109143397A - Carbonate reservoir fracture hole charges recognition methods and system - Google Patents

Carbonate reservoir fracture hole charges recognition methods and system Download PDF

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Publication number
CN109143397A
CN109143397A CN201710506999.0A CN201710506999A CN109143397A CN 109143397 A CN109143397 A CN 109143397A CN 201710506999 A CN201710506999 A CN 201710506999A CN 109143397 A CN109143397 A CN 109143397A
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effective medium
modulus
wave impedance
rock
fracture hole
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CN109143397B (en
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胡起
丁圣
胡华锋
肖鹏飞
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China Petroleum and Chemical Corp
Sinopec Geophysical Research Institute
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China Petroleum and Chemical Corp
Sinopec Geophysical Research Institute
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V11/00Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00

Abstract

Disclose a kind of carbonate reservoir fracture hole charges recognition methods and system.This method may include: to obtain the elasticity modulus of Rock Matrix based on well-log information;Elasticity modulus based on Rock Matrix obtains the elasticity modulus of dry rock;Based on the elasticity modulus of the dry rock, EFFECTIVE MEDIUM S-wave impedance and EFFECTIVE MEDIUM p-wave impedance are obtained;Based on the EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance, carbonate reservoir fracture hole filler component is identified;The empirical relation of the fracture hole pack completeness and density established based on well-log information obtains carbonate reservoir fracture hole filling rate.The method can identify carbonate reservoir fracture hole filler component, obtain carbonate reservoir fracture hole filling rate, provide foundation to measure oil gas reservoir ability and the percolation ability of fracture hole.

Description

Carbonate reservoir fracture hole charges recognition methods and system
Technical field
The present invention relates to oil gas field of geophysical exploration, fill more particularly, to a kind of carbonate reservoir fracture hole Object recognition methods and system.
Background technique
System in Tahe Oilfield is the Paleozoic marine facies source elephant based on ORDOVICIAN CARBONATE ancient karst oil reservoir, cave and its week The crack of edge is its major reservoir spaces, however and not all fracture hole be effective open fracture and corrosion hole, wherein past Toward various charges are mingled with, carbonate reservoir fracture hole charges property is studied, the oil gas for measuring fracture hole stores up Collection ability and percolation ability have great significance.
The research achievement of forefathers focuses mostly in the research of effective open fracture and corrosion hole, to filling fracture hole, especially The Study of recognition of charges property is less in fracture hole.Charges Quality Research key is to identify the type and filling of charges Degree.Common fracture hole charges have shale, flour sand, organic matter, heavy mineral and the dust that collapses, corn spar etc., most of Charges ingredient is more complex, is the mixture of many kinds of substance.And filling operation can be in identification Dong Ding, hole bottom and the base for filling thickness It is quantitatively sought on plinth, full-filling, half filling and unfilled three classes can also be roughly divided into.
Identify that charges property can be divided into Logging Identification Method and seismic identification using geophysical method.The former Basic means be to analyze the corresponding well logging sound of different charges using rock core and Image Logging Data calibration conventional logging information Feature is answered, sensitive log parameter is extracted, by crossplot analysis, determines the door of sensitivity log identification different type charges Limit value.But cross-plot, while with simple and fast advantage, different charges types is often difficult on cross plot Completely separable, recognition effect is simultaneously inaccurate.Some scholars propose charges Logging Identification Method neural network based, seek to stitch The mapping relations of hole charges feature and well logging information, the quality of recognition result are largely determined by the survey of selected sample Well feature vector.The eigenvector recognition effect for meeting the more typical response characteristic of each filling type can protrude very much, and and allusion quotation Type response differs biggish log value, and then recognition effect is bad.Therefore the precision of model identification is largely also dependent on The accuracy of well-log information and to it is each filling type recognition capability;Opposite logging method, before seismic recognition belongs to really brill Prediction, can provide the spatial distribution characteristic of Packing character solution cavity, find unfilled advantageous earthquake characteristic portion, instruct well location portion Administration.The charges of seismic method identification at present mainly on the basis of carrying out the summary of solution-cavity filling object geology, are taken off by typical well Show and establish the geological model of solution cavity and different charges actual parameters, simulation actual seismic acquisition parameter carries out forward model system Make, analyze influence of the different Packing characters to Seismic reflection character, charges characterization description is carried out using seismic facies.But based on just Drill to establish true geological model not a duck soup, model can only underground medium carried out a degree of simplification, fluid type, The variation of the parameters such as saturation degree, reservoir structure may influence than charges property to analog result it is bigger, be difficult in model It totally disappeared the difference except these factors and real medium, affect the precision using earthquake phase method identification charges.
Therefore, it is necessary to develop a kind of high-precision forecast carbonate reservoir fracture hole charges component and filling rates of capableing of Carbonate reservoir fracture hole charges recognition methods and system.
Summary of the invention
The invention proposes a kind of carbonate reservoir fracture hole charges recognition methods and system, the method can be identified Carbonate reservoir fracture hole filler component obtains carbonate reservoir fracture hole filling rate, for the oil gas reservoir energy for measuring fracture hole Power and percolation ability provide foundation.
To achieve the goals above, according to an aspect of the invention, it is proposed that a kind of carbonate reservoir fracture hole charges Recognition methods, comprising:
Based on well-log information, the elasticity modulus of Rock Matrix is obtained;
Elasticity modulus based on Rock Matrix obtains the elasticity modulus of dry rock;
Based on the elasticity modulus of the dry rock, EFFECTIVE MEDIUM S-wave impedance and EFFECTIVE MEDIUM p-wave impedance are obtained;
Based on the EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance, identify that carbonate reservoir fracture hole is filled out Fill object component;
The empirical relation of the fracture hole pack completeness and density established based on well-log information obtains the filling of carbonate reservoir fracture hole Rate.
Preferably, described to be based on well-log information, it obtains the elasticity modulus of Rock Matrix: based on well-log information, passing through Voight-Reuss-Hill model calculates, and obtains the elasticity modulus of the Rock Matrix, specific formula is
Wherein, MHFor the elasticity modulus of Rock Matrix, fiIndicate the volume content of mineral composition ingredient, MiIndicate mineral group At the elasticity modulus of ingredient;Voigt and Reuss model each provides the upper limit M of equivalent Modulus of RocksVWith lower limit MR, to upper and lower Limit carries out arithmetic mean and obtains the elasticity modulus of Rock Matrix.
Preferably, the elasticity modulus based on Rock Matrix, obtains the elasticity modulus of dry rock: blowhole is equivalent For the ideal ellipsoid hole with single aspect ratio, Rock Matrix is added in dry equivalent hole using differential equivalent medium mode In, obtain the elasticity modulus of the dry rock, specific formula are as follows:
Kd(0)=Kmd(0)=μm (4)
Wherein, KdTo do rock volume modulus, μdFor dry Shear Modulus of Rock in Situ, KmFor Rock Matrix bulk modulus, μmFor rock Ground mass matter modulus of shearing, KfFor pore-fluid bulk modulus, μfFor pore-fluid modulus of shearing, y is porosity, and P and Q are shape The factor is equivalent aspect ratio αeFunction, for dry hole, KfAnd μfTake 0.
Preferably, the elasticity modulus based on the dry rock, obtains EFFECTIVE MEDIUM S-wave impedance and EFFECTIVE MEDIUM is vertical Wave impedance includes: to be calculated by Gassmann equation, obtains EFFECTIVE MEDIUM elasticity modulus, passes through the EFFECTIVE MEDIUM elasticity modulus Obtain the EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance, specific formula are as follows:
μsd (6)
Wherein, KsTo be EFFECTIVE MEDIUM bulk modulus, μsFor EFFECTIVE MEDIUM modulus of shearing, KdTo do rock volume modulus, μd For dry Shear Modulus of Rock in Situ, KfFor pore-fluid bulk modulus, KmFor matrix minerals bulk modulus, φ is porosity.
Wherein, Ip is EFFECTIVE MEDIUM p-wave impedance, and Is is EFFECTIVE MEDIUM S-wave impedance, and ρ is density, by formula (6) and Formula (7) obtains the EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance.
Specifically, it is established between charges property and geophysical parameters by formula (5), formula (6) and formula (7) Mathematical relationship, to utilize seismic data direct inversion charges component, identification charges type provides bridge.
Preferably, described to be based on the EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance, identify carbonate Rock reservoir fracture hole filler component includes: by the EFFECTIVE MEDIUM S-wave impedance, the EFFECTIVE MEDIUM p-wave impedance and well logging Density, the inverting under Bayes's inverting framework, inverting solution cavity section mineral constituent parameter identify that the carbonate reservoir fracture hole is filled out Fill object component.
Preferably, the empirical relation of the fracture hole pack completeness established based on well-log information and density, obtains carbonate rock Reservoir fracture hole filling rate includes: public according to the recurrence for having solution cavity interpretation results building solution-cavity filling rate between density of logging well Formula obtains the spatial distribution of solution-cavity filling rate by the carbonate reservoir fracture hole filler calculation.
According to another aspect of the present invention, a kind of carbonate reservoir fracture hole charges identifying system is provided, comprising:
Based on well-log information, the unit of the elasticity modulus of Rock Matrix is obtained;
Elasticity modulus based on Rock Matrix obtains the unit of the elasticity modulus of dry rock;
Based on the elasticity modulus of the dry rock, the list of EFFECTIVE MEDIUM S-wave impedance and EFFECTIVE MEDIUM p-wave impedance is obtained Member;
Based on the EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance, identify that carbonate reservoir fracture hole is filled out Fill the unit of object component;
The empirical relation of the fracture hole pack completeness and density established based on well-log information obtains the filling of carbonate reservoir fracture hole The unit of rate.
Preferably, the elasticity modulus based on Rock Matrix, the unit for obtaining the elasticity modulus of dry rock includes: by rock Stone hole is equivalent to the ideal ellipsoid hole with single aspect ratio, is added dry equivalent hole using differential equivalent medium mode Enter in Rock Matrix, obtain the elasticity modulus of the dry rock, specific formula are as follows:
Kd(0)=Kmd(0)=μm (4)
Wherein, KdTo do rock volume modulus, μdFor dry Shear Modulus of Rock in Situ, KmFor Rock Matrix bulk modulus, μmFor rock Ground mass matter modulus of shearing, KfFor pore-fluid bulk modulus, μfFor pore-fluid modulus of shearing, y is porosity, and P and Q are shape The factor is equivalent aspect ratio αeFunction, for dry hole, KfAnd μfTake 0.
Preferably, the elasticity modulus based on the dry rock, obtains EFFECTIVE MEDIUM S-wave impedance and EFFECTIVE MEDIUM is vertical The unit of wave impedance includes: to be calculated by Gassmann equation, obtains EFFECTIVE MEDIUM elasticity modulus, passes through the EFFECTIVE MEDIUM bullet Property modulus obtain the EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance, specific formula are as follows:
μsd (6)
Wherein, KsTo be EFFECTIVE MEDIUM bulk modulus, μsFor EFFECTIVE MEDIUM modulus of shearing, KdTo do rock volume modulus, μd For dry Shear Modulus of Rock in Situ, KfFor pore-fluid bulk modulus, KmFor matrix minerals bulk modulus, φ is porosity.
Wherein, Ip is EFFECTIVE MEDIUM p-wave impedance, and Is is EFFECTIVE MEDIUM S-wave impedance, and ρ is density, is obtained by formula (7) Take the EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance.
It is preferably based on the EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance, identification carbonate rock storage The unit of layer fracture hole filler component includes: by the EFFECTIVE MEDIUM S-wave impedance, the EFFECTIVE MEDIUM p-wave impedance and survey Well density, the inverting under Bayes's inverting framework, inverting solution cavity section mineral constituent parameter identify the carbonate reservoir fracture hole Filler component.
The beneficial effects of the present invention are: conventional carbonate rock rock section petrophysical model is improved, is allowed to suitable For fracture-cavity type carbonate reservoir, the mathematical relationship between charges property and geophysical parameters is established, identifies carbonate Rock reservoir fracture hole filler component, while the empirical relation for the fracture hole pack completeness and density established based on well-log information, obtain carbon Carbonate Reservoir fracture hole filling rate.
Methods and apparatus of the present invention has other characteristics and advantages, these characteristics and advantages are attached from what is be incorporated herein It will be apparent in figure and subsequent specific embodiment, or will be in the attached drawing and subsequent specific implementation being incorporated herein It is stated in detail in example, these the drawings and specific embodiments are used together to explain specific principle of the invention.
Detailed description of the invention
Exemplary embodiment of the present is described in more detail in conjunction with the accompanying drawings, of the invention is above-mentioned and other Purpose, feature and advantage will be apparent, wherein in exemplary embodiments of the present invention, identical reference label is usual Represent same parts.
Fig. 1 shows carbonate reservoir fracture hole charges recognition methods process according to an embodiment of the invention Figure.
Fig. 2 shows identification carbonate reservoir fracture hole filler component according to an embodiment of the invention modelings to imitate Fruit schematic diagram.
Fig. 3 shows the carbonate reservoir fracture hole filling rate of one embodiment of the present of invention and the cross plot of its density.
Specific embodiment
The present invention will be described in more detail below with reference to accompanying drawings.Although showing the preferred embodiment of the present invention in attached drawing, However, it is to be appreciated that may be realized in various forms the present invention and should not be limited by the embodiments set forth herein.On the contrary, providing These embodiments are of the invention more thorough and complete in order to make, and can will fully convey the scope of the invention to ability The technical staff in domain.
Embodiment 1
In this embodiment, carbonate reservoir fracture hole charges recognition methods according to the present invention, comprising: based on well logging Data obtains the elasticity modulus of Rock Matrix;Elasticity modulus based on Rock Matrix obtains the elasticity modulus of dry rock;It is based on The elasticity modulus of the dry rock obtains EFFECTIVE MEDIUM S-wave impedance and EFFECTIVE MEDIUM p-wave impedance;Based on the EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance identify carbonate reservoir fracture hole filler component;It is built based on well-log information The empirical relation of vertical fracture hole pack completeness and density obtains carbonate reservoir fracture hole filling rate.
The embodiment obtains the elasticity modulus of Rock Matrix elasticity modulus and dry rock by logging quality, seeks equivalent Jie Matter S-wave impedance and EFFECTIVE MEDIUM p-wave impedance are based on EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance, identification The empirical relation of carbonate reservoir fracture hole filler component, the fracture hole pack completeness and density established based on well-log information obtains carbon Carbonate Reservoir fracture hole filling rate provides foundation to measure oil gas reservoir ability and the percolation ability of fracture hole.
The following detailed description of the specific steps of carbonate reservoir fracture hole charges recognition methods according to the present invention.
Based on well-log information, the elasticity modulus of Rock Matrix is obtained.
In one example, described to be based on well-log information, it obtains the elasticity modulus of Rock Matrix: based on well-log information, leading to The calculating of Voight-Reuss-Hill model is crossed, obtains the elasticity modulus of the Rock Matrix, specific formula is
Wherein, MHFor the elasticity modulus of Rock Matrix, fiIndicate the volume content of mineral composition ingredient, MiIndicate mineral group At the elasticity modulus of ingredient;Voigt and Reuss model each provides the upper limit M of equivalent Modulus of RocksVWith lower limit MR, to upper and lower Limit carries out arithmetic mean and obtains the elasticity modulus of Rock Matrix.
Specifically, Rock Matrix mineral can be calcite, dolomite, quartz, clay etc., and elasticity modulus includes bulk modulus K, other elasticity modulus parameters such as modulus of shearing μ, Voigt and Reuss model each provide the upper limit M of equivalent Modulus of RocksV With lower limit MR, arithmetic mean is carried out to bound and obtains MH
Elasticity modulus based on Rock Matrix obtains the elasticity modulus of dry rock.
In one example, based on the elasticity modulus of Rock Matrix, the elasticity modulus of dry rock is obtained: by blowhole etc. Effect is the ideal ellipsoid hole with single aspect ratio, and rock base is added in dry equivalent hole using differential equivalent medium mode In matter, the elasticity modulus of the dry rock, specific formula are obtained are as follows:
Kd(0)=Kmd(0)=μm (4)
Wherein, KdTo do rock volume modulus, μdFor dry Shear Modulus of Rock in Situ, KmFor Rock Matrix bulk modulus, μmFor rock Ground mass matter modulus of shearing, KfFor pore-fluid bulk modulus, μfFor pore-fluid modulus of shearing, y is porosity, and P and Q are shape The factor is equivalent aspect ratio αeFunction, for dry hole, KfAnd μfTake 0.
Specifically, equivalent aspect ratio αeIt is known as pore components for the width and diameter ratio of hole, it is to define hole The parameter of shape.When carrying out numerical simulation, the porosity type of rock complexity can be reduced to the equivalent hole of single shape, Shape is indicated with equivalent aspect ratio.P and Q is the function of pore components, and different aspect ratios corresponds to different P, Q values, is implied Influence of the pore shape for rock elastic property, therefore can be described as form factor.
Based on the elasticity modulus of the dry rock, EFFECTIVE MEDIUM S-wave impedance and EFFECTIVE MEDIUM p-wave impedance are obtained.
In one example, the elasticity modulus based on the dry rock obtains EFFECTIVE MEDIUM S-wave impedance and EFFECTIVE MEDIUM P-wave impedance includes: to be calculated by Gassmann equation, obtains EFFECTIVE MEDIUM elasticity modulus, passes through the EFFECTIVE MEDIUM springform Amount obtains the EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance, specific formula are as follows:
μsd (6)
Wherein, KsTo be EFFECTIVE MEDIUM bulk modulus, μsFor EFFECTIVE MEDIUM modulus of shearing, KdTo do rock volume modulus, μd For dry Shear Modulus of Rock in Situ, KfFor pore-fluid bulk modulus, KmFor matrix minerals bulk modulus, φ is porosity.
Wherein, Ip is EFFECTIVE MEDIUM p-wave impedance, and Is is EFFECTIVE MEDIUM S-wave impedance, and ρ is density, is obtained by formula (7) Take the EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance.
Specifically, input parameter of the porosity as petrophysical model, by the total pore space in well log interpretation performance data Line of writing music provides.
Specifically, the petrophysical model of fracture-cavity type carbonate reservoir is established, the model to be made to be applicable not only to carbon The rock section (being free of solution cavity) of Carbonate Reservoir, will also be suitable for solution-cavity filling object.Existing model is built both for rock section Vertical, do not consider the influence of solution cavity and its charges, model be used for solution cavity section reluctantly, often generates biggish error, The subsequent prediction result that solution cavity section can only be corrected by debugging model parameter, and debugging process has no theoretical foundation.One kind compared with It for popular rock section modeling method is modified to classical Xu-White model, in view of carbonate rock and sand shale in rock Property, the difference in porosity type, the mineral constituent in master mould is substituted for the main mine object space of carbonate rock by quartz, clay Xie Shi and dolomite, in addition, porosity type is divided into rigid hole, intergranular in order to characterize the pore system of carbonate rock complexity Hole and crack.However, this revised Xu-White model, the especially division of its porosity type are not appropriate for simulating Based on mostly being filled with sand shale, the relatively single Carbonate Karst Cave section of porosity type.In order to enhance the applicability of model, introduce Complicated porosity type is equivalent to aspect ratio be α by this concept of porosityeSingle pore morphology, construct fracture hole type The petrophysical model of carbonate reservoir.
Based on the EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance, identify that carbonate reservoir fracture hole is filled out Fill object component.
In one example, it is based on the EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance, identifies carbonic acid Rock salt reservoir fracture hole filler component includes: by the EFFECTIVE MEDIUM S-wave impedance, the EFFECTIVE MEDIUM p-wave impedance and survey Well density, the inverting under Bayes's inverting framework, inverting solution cavity section mineral constituent parameter identify the carbonate reservoir fracture hole Filler component.
Specifically, pass through the EFFECTIVE MEDIUM S-wave impedance, the EFFECTIVE MEDIUM p-wave impedance and well logging density and fracture hole Type In Carbonate Rock physical relations { Ip, Is, ρ }=f (Vcl, Vqu ...), under Bayes's inverting framework, inverting solution cavity section The mineral constituents parameters such as shale content Vcl, sandy content Vqu realize the identification of charges lithology.
The empirical relation of the fracture hole pack completeness and density established based on well-log information obtains the filling of carbonate reservoir fracture hole Rate.
In one example, the empirical relation of the fracture hole pack completeness and density established based on well-log information, obtains carbonate Rock reservoir fracture hole filling rate includes: public according to the recurrence for having solution cavity interpretation results building solution-cavity filling rate between density of logging well Formula obtains the spatial distribution of solution-cavity filling rate by the carbonate reservoir fracture hole filler calculation.
Specifically, the regression formula for constructing solution-cavity filling rate fd between density p of logging well according to existing solution cavity interpretation results Fd=f (ρ) calculates the spatial distribution of solution-cavity filling rate using the density item in inverting solution cavity section mineral constituent parameter.
Specifically, the charges recognition methods based on petrophysical model and seismic inversion can quantitatively calculate charges component And filling operation, circleization different lithology, the spatial distribution filled in various degree provide well location portion to the validity for determining fracture hole Management side case has certain directive significance.
Specifically, the empirical relation of the fracture hole pack completeness and density established based on well-log information, by the density of seismic inversion Calculate fracture hole pack completeness.Pack completeness is on the basis of well-log information counts the empirical relation of pack completeness and density, by earthquake The density of inverting is sought.
Embodiment
Fig. 1 shows carbonate reservoir fracture hole charges recognition methods process according to an embodiment of the invention Figure.Fig. 2 shows identification carbonate reservoir fracture hole filler component according to an embodiment of the invention modeling effects to show It is intended to.Fig. 3 shows the carbonate reservoir fracture hole filling rate of one embodiment of the present of invention and the cross plot of its density.
By taking the ORDOVICIAN CARBONATE oil reservoir of system in Tahe Oilfield work area as an example, Development Practice shows that Caves Reservoir Body is it Main Reservoir Body type is influenced by charges type in solution cavity scale, solution cavity and filling operation, different Filling Characteristics it is molten Hole type Reservoir Body volume variance is larger, and identification solution-cavity filling feature has great importance before boring.
As shown in Figure 1, the rock physics mineralogical composition and content that are obtained according to interpretation of logging data, use Voight- The elasticity modulus of Reuss-Hill model calculating Rock Matrix;Blowhole is equivalent to the ideal ellipsoid with single aspect ratio Hole calculates the elasticity modulus of dry rock with differential equivalent medium mode;EFFECTIVE MEDIUM elasticity modulus is calculated with Gassmann equation; To work area seismic data cube carry out prestack elastic parameter inversion, according to EFFECTIVE MEDIUM elasticity modulus establish rock physics relations, Under Bayes's inverting framework, inverting solution cavity section mineral constituent parameter realizes the identification of charges lithology;According to existing solution cavity solution The regression formula that fruit building solution-cavity filling rate is interpreted between density of logging well, using close in inverting solution cavity section mineral constituent parameter It spends item and calculates solution-cavity filling rate.
The committed step of the process is accurately to construct the petrophysical model for being suitable for fracture-cavity type carbonate reservoir, root Mathematical relationship between the charges lithology provided according to model and geophysical parameters, seeks filling by Bayes's inverting framework Object component is filled out, identifies charges type.On the other hand, solution cavity section pack completeness data and its corresponding well logging in existing well are counted Density can establish the regression relation between pack completeness and density, and then seek solution cavity section using density item seismic inversion and fill Fill out rate data volume.
The precision of seismic data inverting mineral constituent is largely dependent on built petrophysical model in the suitable of the work area Ying Xing.We select four mouthfuls in work area typical wells to test model, and test results are shown in figure 2.Black curve in figure The calculated velocity of longitudinal wave of model and Well-Log Acoustic Velocity are respectively indicated with Grey curves, the black stripe by ordinate indicates molten The corresponding depth bounds of hole section.Rock core information shows as full-filling or half based on showing in well that solution cavity section is mostly filled with sand shale Filling.As can be seen that the prediction velocity of longitudinal wave of four mouthfuls of wells surveys velocity of longitudinal wave in rock section and solution cavity Duan Junneng quite well, Predict that error is smaller, precision meets production requirement, and it is good to illustrate that the petrophysical model of this patent building has in the work area Adaptability lays a solid foundation for the subsequent physical parameter inverting based on model.
In addition, carrying out data mining to solution cavity section interpretation results existing in work area, solution-cavity filling rate and corresponding depth are found Well logging density degree of correlation highest at degree, as shown in Figure 3.48 pack completeness data points are had collected altogether, with corresponding density data Intersection analysis is carried out, related coefficient illustrates that density data can be used for calculating the pack completeness of work area solution cavity, pass through prestack up to 0.95 After seismic inversion obtains density data body, the spatial distribution of pack completeness can be estimated based on the regression formula in figure.Fig. 3 is based on real The relationship of the well log interpretation achievement of border carbonate reservoir and the pack completeness that counts and its density.Purpose is built according to real data The empirical relation of vertical pack completeness and density, to go out density for seismic inversion and then predict that pack completeness is established using density Basis.
It will be understood by those skilled in the art that above to the purpose of the description of the embodiment of the present invention only for illustratively saying The beneficial effect of bright the embodiment of the present invention is not intended to limit embodiments of the invention to given any example.
Embodiment 2
Embodiment according to the present invention provides a kind of carbonate reservoir fracture hole charges identifying system, comprising:
Based on well-log information, the unit of the elasticity modulus of Rock Matrix is obtained;
Elasticity modulus based on Rock Matrix obtains the unit of the elasticity modulus of dry rock;
Based on the elasticity modulus of the dry rock, the list of EFFECTIVE MEDIUM S-wave impedance and EFFECTIVE MEDIUM p-wave impedance is obtained Member;
Based on the EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance, identify that carbonate reservoir fracture hole is filled out Fill the unit of object component;
The empirical relation of the fracture hole pack completeness and density established based on well-log information obtains the filling of carbonate reservoir fracture hole The unit of rate.
In one example, the elasticity modulus based on Rock Matrix obtains the unit packet of the elasticity modulus of dry rock It includes: blowhole is equivalent to the ideal ellipsoid hole with single aspect ratio, it will be dry etc. using differential equivalent medium mode It imitates hole to be added in Rock Matrix, obtains the elasticity modulus of the dry rock, specific formula are as follows:
Kd(0)=Kmd(0)=μm (4)
Wherein, KdTo do rock volume modulus, μdFor dry Shear Modulus of Rock in Situ, KmFor Rock Matrix bulk modulus, μmFor rock Ground mass matter modulus of shearing, KfFor pore-fluid bulk modulus, μfFor pore-fluid modulus of shearing, y is porosity, and P and Q are shape The factor is equivalent aspect ratio αeFunction, for dry hole, KfAnd μfTake 0.
In one example, the elasticity modulus based on the dry rock obtains EFFECTIVE MEDIUM S-wave impedance and equivalent The unit of medium p-wave impedance includes: to be calculated by Gassmann equation, EFFECTIVE MEDIUM elasticity modulus is obtained, by described equivalent Dielectric resilient modulus obtains the EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance, specific formula are as follows:
μsd(6)
Wherein, KsTo be EFFECTIVE MEDIUM bulk modulus, μsFor EFFECTIVE MEDIUM modulus of shearing, KdTo do rock volume modulus, μd For dry Shear Modulus of Rock in Situ, KfFor pore-fluid bulk modulus, KmFor matrix minerals bulk modulus, φ is porosity.
Wherein, Ip is EFFECTIVE MEDIUM p-wave impedance, and Is is EFFECTIVE MEDIUM S-wave impedance, and ρ is density, is obtained by formula (7) Take the EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance.
In one example, it is based on the EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance, identifies carbonic acid The unit of rock salt reservoir fracture hole filler component includes: to be hindered by the EFFECTIVE MEDIUM S-wave impedance, the EFFECTIVE MEDIUM longitudinal wave Anti- and well logging density, the inverting under Bayes's inverting framework, inverting solution cavity section mineral constituent parameter identify the carbonate rock storage Layer fracture hole filler component.
It will be understood by those skilled in the art that above to the purpose of the description of the embodiment of the present invention only for illustratively saying The beneficial effect of bright the embodiment of the present invention is not intended to limit embodiments of the invention to given any example.
Various embodiments of the present invention are described above, above description is exemplary, and non-exclusive, and It is not limited to disclosed each embodiment.Without departing from the scope and spirit of illustrated each embodiment, for this skill Many modifications and changes are obvious for the those of ordinary skill in art field.The selection of term used herein, purport In the principle, practical application or improvement to the technology in market for best explaining each embodiment, or make the art Other those of ordinary skill can understand each embodiment disclosed herein.

Claims (10)

1. a kind of carbonate reservoir fracture hole charges recognition methods, comprising:
Based on well-log information, the elasticity modulus of Rock Matrix is obtained;
Elasticity modulus based on Rock Matrix obtains the elasticity modulus of dry rock;
Based on the elasticity modulus of the dry rock, EFFECTIVE MEDIUM S-wave impedance and EFFECTIVE MEDIUM p-wave impedance are obtained;
Based on the EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance, carbonate reservoir fracture hole filler is identified Component;
The empirical relation of the fracture hole pack completeness and density established based on well-log information obtains carbonate reservoir fracture hole filling rate.
2. carbonate reservoir fracture hole charges recognition methods according to claim 1, wherein described based on well logging money Material, obtains the elasticity modulus of Rock Matrix: based on well-log information, being calculated by Voight-Reuss-Hill model, described in acquisition The elasticity modulus of Rock Matrix, specific formula are
Wherein, MHFor the elasticity modulus of Rock Matrix, fiIndicate the volume content of mineral composition ingredient, MiIndicate mineral composition at The elasticity modulus divided;Voigt and Reuss model each provides the upper limit M of equivalent Modulus of RocksVWith lower limit MR, to bound into Row arithmetic mean obtains the elasticity modulus of Rock Matrix.
3. carbonate reservoir fracture hole charges recognition methods according to claim 1, wherein described to be based on Rock Matrix Elasticity modulus, obtain the elasticity modulus of dry rock: blowhole being equivalent to the ideal ellipsoid hole with single aspect ratio, is made Dry equivalent hole is added in Rock Matrix with differential equivalent medium mode, obtains the elasticity modulus of the dry rock, tool Body formula are as follows:
Kd(0)=Kmd(0)=μm (4)
Wherein, KdTo do rock volume modulus, μdFor dry Shear Modulus of Rock in Situ, KmFor Rock Matrix bulk modulus, μmFor rock base Matter modulus of shearing, KfFor pore-fluid bulk modulus, μfFor pore-fluid modulus of shearing, y is porosity, and P and Q are form factor It is equivalent aspect ratio αeFunction, for dry hole, KfAnd μfTake 0.
4. carbonate reservoir fracture hole charges recognition methods according to claim 1, wherein described to be based on the dry rock The elasticity modulus of stone, obtains EFFECTIVE MEDIUM S-wave impedance and EFFECTIVE MEDIUM p-wave impedance includes: to be calculated by Gassmann equation, EFFECTIVE MEDIUM elasticity modulus is obtained, the EFFECTIVE MEDIUM S-wave impedance and described etc. is obtained by the EFFECTIVE MEDIUM elasticity modulus Imitate medium p-wave impedance, specific formula are as follows:
μsd (6)
Wherein, KsTo be EFFECTIVE MEDIUM bulk modulus, μsFor EFFECTIVE MEDIUM modulus of shearing, KdTo do rock volume modulus, μdIt is dry Shear Modulus of Rock in Situ, KfFor pore-fluid bulk modulus, KmFor matrix minerals bulk modulus, φ is porosity;
Wherein, Ip is EFFECTIVE MEDIUM p-wave impedance, and Is is EFFECTIVE MEDIUM S-wave impedance, and ρ is density, obtains institute by formula (7) State EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance.
5. carbonate reservoir fracture hole charges recognition methods according to claim 1, wherein described based on described equivalent Medium S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance, identification carbonate reservoir fracture hole filler component includes: to pass through institute State EFFECTIVE MEDIUM S-wave impedance, the EFFECTIVE MEDIUM p-wave impedance and well logging density, the inverting under Bayes's inverting framework, inverting Solution cavity section mineral constituent parameter identifies the carbonate reservoir fracture hole filler component.
6. carbonate reservoir fracture hole charges recognition methods according to claim 1, wherein described to be based on well-log information The fracture hole pack completeness of foundation and the empirical relation of density, obtaining carbonate reservoir fracture hole filling rate includes: according to existing solution cavity The regression formula that interpretation results construct solution-cavity filling rate between density of logging well, passes through the carbonate reservoir fracture hole filler Calculation obtains the spatial distribution of solution-cavity filling rate.
7. a kind of carbonate reservoir fracture hole charges identifying system, comprising:
Based on well-log information, the unit of the elasticity modulus of Rock Matrix is obtained;
Elasticity modulus based on Rock Matrix obtains the unit of the elasticity modulus of dry rock;
Based on the elasticity modulus of the dry rock, the unit of EFFECTIVE MEDIUM S-wave impedance and EFFECTIVE MEDIUM p-wave impedance is obtained;
Based on the EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance, carbonate reservoir fracture hole filler is identified The unit of component;
The empirical relation of the fracture hole pack completeness and density established based on well-log information obtains carbonate reservoir fracture hole filling rate Unit.
8. carbonate reservoir fracture hole charges identifying system according to claim 7, wherein described to be based on Rock Matrix Elasticity modulus, the unit for obtaining the elasticity modulus of dry rock includes: the reason for being equivalent to blowhole to have single aspect ratio Think ellipsoid hole, dry equivalent hole is added in Rock Matrix using differential equivalent medium mode, obtains the dry rock Elasticity modulus, specific formula are as follows:
Kd(0)=Kmd(0)=μm (4)
Wherein, KdTo do rock volume modulus, μdFor dry Shear Modulus of Rock in Situ, KmFor Rock Matrix bulk modulus, μmFor rock base Matter modulus of shearing, KfFor pore-fluid bulk modulus, μfFor pore-fluid modulus of shearing, y is porosity, and P and Q are form factor It is equivalent aspect ratio αeFunction, for dry hole, KfAnd μfTake 0.
9. carbonate reservoir fracture hole charges identifying system according to claim 7, wherein described to be based on the dry rock The elasticity modulus of stone, the unit for obtaining EFFECTIVE MEDIUM S-wave impedance and EFFECTIVE MEDIUM p-wave impedance includes: by the side Gassmann Journey calculates, and obtains EFFECTIVE MEDIUM elasticity modulus, obtains the EFFECTIVE MEDIUM S-wave impedance by the EFFECTIVE MEDIUM elasticity modulus And the EFFECTIVE MEDIUM p-wave impedance, specific formula are as follows:
μsd (6)
Wherein, KsTo be EFFECTIVE MEDIUM bulk modulus, μsFor EFFECTIVE MEDIUM modulus of shearing, KdTo do rock volume modulus, μdIt is dry Shear Modulus of Rock in Situ, KfFor pore-fluid bulk modulus, KmFor matrix minerals bulk modulus, φ is porosity;
Wherein, Ip is EFFECTIVE MEDIUM p-wave impedance, and Is is EFFECTIVE MEDIUM S-wave impedance, and ρ is density, obtains institute by formula (7) State EFFECTIVE MEDIUM S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance.
10. carbonate reservoir fracture hole charges identifying system according to claim 7, wherein be based on equivalent Jie The unit of matter S-wave impedance and the EFFECTIVE MEDIUM p-wave impedance, identification carbonate reservoir fracture hole filler component includes: logical Cross the EFFECTIVE MEDIUM S-wave impedance, the EFFECTIVE MEDIUM p-wave impedance and density of logging well, the inverting under Bayes's inverting framework, Inverting solution cavity section mineral constituent parameter, identifies the carbonate reservoir fracture hole filler component.
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