CN109655394A - A kind of nuclear magnetic resonance T 2 spectrum calculation of permeability under pore throat character restriction on the parameters - Google Patents

A kind of nuclear magnetic resonance T 2 spectrum calculation of permeability under pore throat character restriction on the parameters Download PDF

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CN109655394A
CN109655394A CN201811574964.1A CN201811574964A CN109655394A CN 109655394 A CN109655394 A CN 109655394A CN 201811574964 A CN201811574964 A CN 201811574964A CN 109655394 A CN109655394 A CN 109655394A
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magnetic resonance
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permeability
pore throat
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冯进
管耀
宋伟
王清辉
张占松
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Yangtze University
China National Offshore Oil Corp CNOOC
CNOOC China Ltd Shenzhen Branch
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China National Offshore Oil Corp CNOOC
CNOOC China Ltd Shenzhen Branch
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N24/00Investigating or analyzing materials by the use of nuclear magnetic resonance, electron paramagnetic resonance or other spin effects
    • G01N24/08Investigating or analyzing materials by the use of nuclear magnetic resonance, electron paramagnetic resonance or other spin effects by using nuclear magnetic resonance
    • G01N24/081Making measurements of geologic samples, e.g. measurements of moisture, pH, porosity, permeability, tortuosity or viscosity

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Abstract

The present invention discloses the nuclear magnetic resonance T 2 spectrum calculation of permeability under a kind of pore throat character restriction on the parameters, comprising: S1: converts pseudo- capillary pressure curve for nuclear magnetic resonance T 2 spectrum curve;S2: pore throat character parameter is calculated according to the pseudo- capillary pressure curve;S3: pore throat character parameter, the NMR logging data being calculated after pseudo- capillary pressure curve are converted using the core analysis permeability data and nuclear magnetic resonance T 2 spectrum of acquisition, establishes pore throat character parameter, nuclear magnetic resonance T 2 spectrum-permeability corresponding relation data body;S4: selected non-linear map establishes Permeability Prediction model;S5: cross validation method is used, debugging optimization is carried out to the Permeability Prediction model, establishes Nonlinear Mapping relational model, and form final network model;S6: node-by-node algorithm is carried out according to the final network model, obtains the nuclear magnetic resonance T 2 spectrum permeability under pore throat character restriction on the parameters;At least one order of magnitude of the computational accuracy of tight sand permeability can be improved in the present invention.

Description

A kind of nuclear magnetic resonance T 2 spectrum calculation of permeability under pore throat character restriction on the parameters
Technical field
The present invention relates to petroleum geology exploration technology and logging evaluation technical fields, and in particular to a kind of pore throat character parameter Nuclear magnetic resonance T 2 spectrum calculation of permeability under constraint.
Background technique
During oil-gas exploration and development, usually acquisition absolute permeability (abbreviation permeability) method have core test and The methods of calculated using well-log information, wherein the permeability of core test is the most accurate, is a kind of direct permeability acquisition side Method is commonly used to the permeability of scale well-log information calculating.But the permeability of core test is limited by sampled point, acquisition Permeability value is discontinuous.Therefore, well-log information permeameter is established by the relationship between research permeability and log response parameter Model is calculated, permeability is calculated using well-log information and just seems very necessary.
There are two kinds using the thinking that Conventional Logs obtain permeability, one is establish permeability and various reservoirs ginseng Number, the statistical model between log response parameter, for example, permeability and porosity, natural gamma relative value statistical model, point Penetration rate model, the model of neural computing permeability etc. that flow unit is established;Another method is to pass through rock physics Relationship between model foundation permeability and reservoir characteristic parameter, such as Wyllie-Rose permeability log interpretation model, Timur permeability log interpretation model etc..Two kinds of methods complement one another, but Wyllie-Rose equation, Timur equation are hypotonic In saturating reservoir permeability logging evaluation, the permeability ratio of permeability and the core test analysis of calculating is compared with error is larger.With equivalent Based on rock constituents are theoretical, similarity principle is migrated according to charge migration and fluid molecule, on effective conductive porosity basis On, the permeability log interpretation model between effective flowing porosity and permeability is established, model accuracy is better than Wyllie-Rose Equation and Timur equation.
With going deep into for domestic oil-gas exploration and development, Low-porosity And Low Permeability Reservoir receives more concerns.Low porosity and low permeability storage The pore throat character for collecting layer is complicated, is affected to permeability, and the above method for calculating permeability is not able to satisfy production needs. Nuclear magnetic resonance log can measure a variety of formation informations such as porosity, pore throat character, be increasingly being applied to low porosity and low permeability In the evaluation of permeability of reservoir.Classical nuclear magnetic resonance log penetration rate model rely primarily on nuclear magnetic resonance with relaxation behavior and Diffusion property, it is established that statistical relational expression.By analyzing the correlation of its parameter with permeability, final permeability is obtained Model simultaneously calculates continuous permeability curve with it.There is Coates model with the classical model that nuclear magnetic resonance log calculates permeability With SDR model.Coates model establishes model using movable fluid, constraint fluid, nuclear-magnetism porosity;SDR model utilizes nuclear-magnetism Porosity, T2 geometric mean establish model.
But application effect of the classical NMR Permeability Models in Low-porosity And Low Permeability Reservoir computing permeability is not very managed Think, main cause is that low porosity and low permeability reservoir heterogeneity is serious, and relevant parameter cannot sufficiently reflect irreducible water saturation, pore throat The features such as structure;Pore throat character parameter pair is weakened again using the set a song to music calculation of permeability of line morphology of nuclear magnetic resonance log T2 The important function of computing permeability.
Summary of the invention
The technical problem to be solved in the present invention is that the nuclear magnetic resonance T 2 spectrum under providing a kind of pore throat character restriction on the parameters seeps Saturating rate calculation method.
The technical solution adopted by the present invention to solve the technical problems is: the nuclear-magnetism under a kind of pore throat character restriction on the parameters is total The T2 that shakes composes calculation of permeability, comprising the following steps:
S1: pseudo- capillary pressure curve is converted by nuclear magnetic resonance T 2 spectrum curve;
S2: pore throat character parameter, including replacement pressure, maximum pore throat half are calculated according to the pseudo- capillary pressure curve Diameter, hole throat median radius, hole throat mean value, primary flow bore larynx radius average value and sorting coefficient;
S3: it is counted after converting pseudo- capillary pressure curve using the core analysis permeability data and nuclear magnetic resonance T 2 spectrum of acquisition Obtained pore throat character parameter, NMR logging data establishes pore throat character parameter, nuclear magnetic resonance T 2 spectrum-permeability pair Answer relation data body (Him, T2ij, Pij, ki) (m=1 ..., l;I=1 ..., n), wherein H refers to pore throat character parameter value, T2 refers to nuclear magnetic resonance T 2 spectrum time component Discrete value, and P refers to the discrete value of T2 spectral amplitude component, and k refers to that permeability value, i refer to acquisition Core analysis permeability sample spot serial number, m refer to pore throat character parameter serial number, and j refers to component serial number, and l is each depth point hole Adam's apple The number of structure parameter, n are the core test permeability sample spot number of acquisition;
S4: selected non-linear map establishes the nuclear magnetic resonance T 2 spectrum Permeability Prediction mould under pore throat character restriction on the parameters Type;
S5: cross validation method is used, to the nuclear magnetic resonance T 2 spectrum Permeability Prediction under the pore throat character restriction on the parameters Model carries out debugging optimization, establishes Nonlinear Mapping relational model, and forms final network model;
S6: node-by-node algorithm is carried out according to the final network model, obtains the nuclear magnetic resonance under pore throat character restriction on the parameters T2 composes permeability.
Preferably, in step sl, pseudo- capillary pressure curve is converted by nuclear magnetic resonance T 2 spectrum curve, including walked as follows It is rapid:
Step S11: calculating scale conversion between nuclear magnetic resonance T 2 spectrum and capillary pressure curve according to similarity principle is Number C is converted by formula PC=C/T2 linear relationship and is obtained pseudo- capillary pressure curve;Or
Step S12: it is calculated between nuclear magnetic resonance T 2 spectrum and capillary pressure curve laterally according to two dimension segmentation equal-area method Calibration factor and longitudinal calibration factor in large and small aperture, are calculated pseudo- capillary pressure curve.
Preferably, in step s 2,
The replacement pressure refers to that nonwetting phase initially enters the pressure of rock sample maximum venturi, and the calculation method used is from most Low pressure point starts, more adjacent pressure spot into mercury saturation degree, starting point of the two into mercury saturation degree difference greater than 1% is row Drive pressure;
The maximum pore throat radius refers to the corresponding pore throat radius of the replacement pressure;
The hole throat median radius refers to the corresponding pore throat radius value of 50% mercury saturation degree;
The pore constriction mean value is to describe the mean place of experimental data value, that is, indicates the average bit of full throat distribution It sets;
The primary flow bore larynx radius average value refer to permeability contribution margin it is accumulative up to 95% when pore throat radius it is average Value;
The sorting coefficient is the parameter for reflecting Pore throat size uniform level.
Preferably, in step s3, the core test permeability data and pore throat character parameter, nuclear magnetic resonance log money Material is after carrying out core Location by permeability measured by core experiment room, with nuclear magnetic resonance T 2 spectrum and nuclear-magnetism T2 spectrum conversion puppet The corresponding relationship for the pore throat character parameter being calculated after capillary pressure curve.
Preferably, in step s 4, the non-linear map uses BP neural network method.
Preferably, for the BP neural network method using single hidden layer network, input layer unit number is the nuclear magnetic resonance T2 Spectral component discrete value n, output layer unit number are 1, and One hidden layer neuron number is calculated with following formula and obtained: n1=(n+1)1/2+a, Wherein, a is the constant between 1~10.
Preferably, in step s 5, the cross validation method is in given modeling sample, and most of sample is used for Nonlinear Mapping relational model is established, stays fraction sample for model testing, and seek the prediction error of the fraction sample Quadratic sum.
Preferably, the sample that most of sample is 70%, the sample that the fraction sample is 30%.
Preferably, during establishing the Nonlinear Mapping relational model, using iterative algorithm constantly to described 70% Sample calculated;After each iteration is completed, the data of 15% sample cross verifying are assessed;When described 70% Sample computational accuracy when being difficult to improve, error minimum is calculated using the data that wherein 15% sample carries out cross validation When corresponding network model be final network model, and using the data of last 15% test to the final network model progress Test.
Preferably, in step s 6, node-by-node algorithm is carried out to full well section using the final network model, obtains hole Adam's apple Nuclear magnetic resonance T 2 spectrum permeability under structure restriction on the parameters.
Implement the invention has the following advantages: the nuclear-magnetism under a kind of pore throat character restriction on the parameters proposed by the present invention is total The T2 that shakes composes calculation of permeability, solves and weakens pore throat using the calculation of permeability of nuclear magnetic resonance T 2 spectrum tracing pattern The problem that structural parameters cause the permeability precision for thinking poorly of hole low permeability reservoir relatively low, it had both considered nuclear magnetic resonance T 2 spectrum and includes All pore structural informations, also strengthen effect of the pore throat character parameter in computing permeability.And it does not need to carry out a large amount of Rock core nuclear magnetic resonance experiment, and have higher precision, and be easily achieved, can satisfy production requirement.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples, in attached drawing:
Fig. 1 is the flow chart of the nuclear magnetic resonance T 2 spectrum calculation of permeability under pore throat character restriction on the parameters of the present invention;
Fig. 2 is that the present invention utilizes nuclear magnetic resonance T 2 spectrum, the nuclear magnetic resonance T 2 spectrum of 30 sampled points to be converted into capillary pressure The penetration rate model precision schematic diagram of median radius and core analysis the permeability building calculated after curve;
Fig. 3 is the nuclear magnetic resonance T 2 spectrum calculation of permeability well logging money under pore throat character restriction on the parameters proposed by the present invention Material processing achievement schematic diagram.
Specific embodiment
As shown in Figure 1, being the nuclear magnetic resonance T 2 spectrum computing permeability side under a kind of pore throat character restriction on the parameters of the invention Method causes to evaluate for solving to weaken pore throat character parameter using the calculation of permeability of nuclear magnetic resonance T 2 spectrum tracing pattern The relatively low problem of the permeability precision of low porosity and low permeability reservoir, comprising the following steps:
S1: pseudo- capillary pressure curve is converted by nuclear magnetic resonance T 2 spectrum curve;In this step, by nuclear magnetic resonance T 2 spectrum Curve is converted into pseudo- capillary pressure curve, including following method:
Step S11: calculating scale conversion between nuclear magnetic resonance T 2 spectrum and capillary pressure curve according to similarity principle is Number C is converted by formula PC=C/T2 linear relationship and is obtained pseudo- capillary pressure curve;Or
Step S12: it is calculated between nuclear magnetic resonance T 2 spectrum and capillary pressure curve laterally according to two dimension segmentation equal-area method Calibration factor and longitudinal calibration factor in large and small aperture, are calculated pseudo- capillary pressure curve.
S2: pore throat character parameter, including replacement pressure, maximum pore throat half are calculated according to the pseudo- capillary pressure curve Diameter, hole throat median radius, hole throat mean value, primary flow bore larynx radius average value and sorting coefficient;In step s 2,
The replacement pressure refers to that nonwetting phase initially enters the pressure of rock sample maximum venturi, and the calculation method used is from most Low pressure point starts, more adjacent pressure spot into mercury saturation degree, starting point of the two into mercury saturation degree difference greater than 1% is row Drive pressure;
The maximum pore throat radius refers to the corresponding pore throat radius of the replacement pressure;
The hole throat median radius refers to the corresponding pore throat radius value of 50% mercury saturation degree;
The pore constriction mean value is to describe the mean place of experimental data value, that is, indicates the average bit of full throat distribution It sets;
The primary flow bore larynx radius average value refer to permeability contribution margin it is accumulative up to 95% when pore throat radius it is average Value;
The sorting coefficient is the parameter for reflecting Pore throat size uniform level.
In the present embodiment, pore constriction mean value is calculated using following formula (1), (2), (3), primary flow bore larynx radius is averaged Value and sorting coefficient
R in formulaM, Rz, Sp be respectively pore constriction mean value, primary flow bore larynx radius average value and sorting coefficient;ΔS,i For the mercury saturation degree of the i-th interval measure;riFor throat radius corresponding with Δ Si.
S3: it is calculated after converting pseudo- capillary pressure curve using core analysis permeability data and nuclear-magnetism the T2 spectrum of acquisition Pore throat character parameter, the NMR logging data arrived establishes the corresponding pass of pore throat character parameter, nuclear magnetic resonance T 2 spectrum-permeability It is data volume (Him, T2ij, Pij, ki) (m=1 ..., l;I=1 ..., n), this data volume are that known core analysis is seeped The nuclear magnetic resonance T 2 spectrum data of same depth point and turned by the depth point nuclear magnetic resonance T 2 spectrum after saturating rate data and core Location Change the pore throat character parameter composition calculated after capillary pressure curve into.Wherein, H refers to that pore throat character parameter value, T2 refer to that nuclear-magnetism is total Component Discrete value between T2 time spectrum of shaking, P refer to the discrete value of T2 spectral amplitude component, and k refers to that permeability value, i refer to that the core test of acquisition seeps Saturating rate sample spot serial number, m refer to pore throat character parameter serial number, and j refers to component serial number, and l is of each depth point pore throat character parameter Number, n are the core test permeability sample spot number of acquisition.
It is to be appreciated that in step s3, the core analysis permeability data and pore throat character parameter, nuclear magnetic resonance are surveyed Well data is to turn after carrying out core Location by permeability measured by core experiment room with nuclear magnetic resonance T 2 spectrum and nuclear-magnetism T2 spectrum Change the corresponding relationship for the pore throat character parameter being calculated after pseudo- capillary pressure curve.
S4: selected non-linear map establishes the nuclear magnetic resonance T 2 spectrum Permeability Prediction mould under pore throat character restriction on the parameters Type;In the present embodiment, in step s 4, the non-linear map uses BP neural network method, further, the BP For neural network method using single hidden layer network, input layer unit number is the nuclear magnetic resonance T 2 spectrum component Discrete value n, output layer list First number is 1, and One hidden layer neuron number is calculated with following formula and obtained: n1=(n+1)1/2+ a, wherein a is normal between 1~10 Number.
It is to be appreciated that establishing Permeability Prediction model based on BP neural network non-linear map.BP neural network Method is a kind of Multi-layered Feedforward Networks by the training of error backpropagation algorithm, using steepest descent method, by backpropagation come The constantly weight and threshold value of adjustment network keeps the error sum of squares of network minimum.Since neural network is too sensitive, it is necessary to big Sample is modeled the model that can just obtain with stronger generalization ability, because the method requires the quantity of sample more as far as possible, i.e. n value It is big as far as possible, since BP neural network carries out global optimizing using gradient descent algorithm, it is contemplated that gradient descent method is easily trapped into The problem of local optimum, (seeps input (pore throat character parameter and sampled point nuclear magnetic resonance T 2 spectrum) and output when establishing model Saturating rate) it is normalized, to improve the generalization ability of model.Such as 3 pore throat character parameters, 30 sampled point nuclear magnetic resonance T2 33 × 10 × 1 network structure can be used to be modeled for spectrum.
S5: cross validation method is used, to the nuclear magnetic resonance T 2 spectrum Permeability Prediction under the pore throat character restriction on the parameters Model carries out debugging optimization, establishes Nonlinear Mapping relational model, and forms final network model;It is to be appreciated that using handing over Verification method is pitched, model debugging is carried out, to obtain best result.
In step s 5, the cross validation method is in given modeling sample, and most of sample is non-for establishing Linear mapping relation model stays fraction sample for model testing, and seeks the Prediction sum squares of the fraction sample. To a preferred embodiment, the sample that the major part sample is 70%, the sample that the fraction sample is 30%.
During establishing the Nonlinear Mapping relational model, using iterative algorithm constantly to described 70% sample into Row calculates;After each iteration is completed, the data of 15% sample cross verifying are assessed;When described 70% sample meter Precision is calculated when being difficult to improve, it is corresponding when being calculated error minimum using the data that wherein 15% sample carries out cross validation Network model is final network model, and is tested using the data of last 15% test the final network model.
S6: node-by-node algorithm is carried out according to the final network model, obtains the nuclear magnetic resonance under pore throat character restriction on the parameters T2 composes permeability.
Specifically, in step s 6, full well section is counted point by point using the final network model obtained in step s 5 It calculates, obtains the nuclear magnetic resonance T 2 spectrum permeability under pore throat character restriction on the parameters.
Further, model involved in step S5 and step S6 of the present invention, is all with the Permeability Prediction in step S4 Based on model, debugging optimization is carried out by cross validation method etc., forms final network model, utilizes the final network model Node-by-node algorithm is carried out to full well section, the nuclear magnetic resonance T 2 spectrum permeability under pore throat character restriction on the parameters can be obtained.
The present invention passes through the nuclear-magnetism using same depth point after the core analysis permeability data and core Location acquired The T2 that resonates composes data, and is converted by the depth point nuclear magnetic resonance T 2 spectrum pore throat character number calculated after capillary pressure curve According to establishing pore throat character parameter, nuclear magnetic resonance T 2 spectrum and permeability corresponding relation data body.Using the BP nerve of None-linear approximation Network algorithm, and optimal pore throat character, T2 are established by the optimization of the normalized of parameter, cross validation and algorithm parameter The Nonlinear Mapping of fractions distribution and permeability obtains the nuclear magnetic resonance T 2 spectrum tracing pattern in the case where pore throat character constrains and calculates infiltration The model of rate realizes reservoir permeability Continuous plus.The present invention compared with traditional nuclear magnetic resonance logging data calculates penetration rate model, At least one order of magnitude of the computational accuracy of tight sand permeability can be improved.
Fig. 2 is that the present invention utilizes nuclear magnetic resonance T 2 spectrum, the nuclear magnetic resonance T 2 spectrum of 30 sampled points to be converted into capillary pressure The penetration rate model precision schematic diagram of median radius and core analysis the permeability building calculated after curve.Wherein, data volume 151 data are shared, for the picture left above to return the precision sentenced after 70% sample, top right plot is the number of 15% cross validation in figure According to lower-left figure is the data of 15% test, and bottom-right graph is the prediction result of last all sample points.From the results, it was seen that building Mode coherence coefficients have reached R=0.95, and cross validation precision has reached R=0.69, and measuring accuracy has reached R=0.78.It is found that The model accuracy is higher, and the permeability value of calculating is more reliable.
As shown in figure 3, being the nuclear magnetic resonance T 2 spectrum computing permeability side under pore throat character restriction on the parameters proposed by the present invention Method Well Data Processing achievement, wherein first is gamma ray curve in figure, and second is depth, and third road is total for nuclear-magnetism The T2 that shakes composes form, and the 4th scatterplot is core analysis permeability, and the 4th curve is the permeability value that the present invention calculates.It can be bright Aobvious to find out, calculating permeability using the nuclear magnetic resonance T 2 spectrum of pore throat character restriction on the parameters is that effectively, it does not both need to carry out big The rock core nuclear magnetic resonance experiment of amount, and have higher precision, and be easily achieved, it can satisfy production requirement.
Implement the invention has the following advantages: the nuclear-magnetism under a kind of pore throat character restriction on the parameters proposed by the present invention is total The T2 that shakes composes calculation of permeability, solves and is weakened using the set a song to music calculation of permeability of line morphology of nuclear magnetic resonance log T2 The problem that pore throat character parameter causes the permeability precision for thinking poorly of hole low permeability reservoir relatively low, it both considers nuclear magnetic resonance T 2 spectrum All pore structural informations for including also strengthen effect of the pore throat character parameter in computing permeability.And it does not need to carry out A large amount of rock core nuclear magnetic resonance experiment, and have higher precision, and be easily achieved, it can satisfy production requirement.
It should be understood that above embodiments only express the preferred embodiment of the present invention, description is more specific and detailed Carefully, but it cannot be understood as limitations on the scope of the patent of the present invention;It should be pointed out that for the common skill of this field For art personnel, without departing from the inventive concept of the premise, above-mentioned technical characterstic can be freely combined, can also be done Several modifications and improvements out, these are all within the scope of protection of the present invention;Therefore, all to be done with scope of the invention as claimed Equivalents and modification, should belong to the covering scope of the claims in the present invention.

Claims (10)

1. the nuclear magnetic resonance T 2 spectrum calculation of permeability under a kind of pore throat character restriction on the parameters, which is characterized in that including following Step:
S1: pseudo- capillary pressure curve is converted by nuclear magnetic resonance T 2 spectrum curve;
S2: pore throat character parameter, including replacement pressure, maximum pore throat radius, hole are calculated according to the pseudo- capillary pressure curve Gap throat median radius, hole throat mean value, primary flow bore larynx radius average value and sorting coefficient;
S3: it is calculated after converting pseudo- capillary pressure curve using the core analysis permeability data and nuclear magnetic resonance T 2 spectrum of acquisition Pore throat character parameter, the NMR logging data arrived establishes the corresponding pass of pore throat character parameter, nuclear magnetic resonance T 2 spectrum-permeability It is data volume (Him, T2ij, Pij, ki) (m=1 ..., l;I=1 ..., n), wherein H refers to that pore throat character parameter value, T2 refer to Nuclear magnetic resonance T 2 spectrum time component Discrete value, P refer to the discrete value of T2 spectral amplitude component, and k refers to that permeability value, i refer to the rock core of acquisition Permeability sample spot serial number is analyzed, m refers to pore throat character parameter serial number, and j refers to component serial number, and l is each depth point pore throat character ginseng Several numbers, n are the core test permeability sample spot number of acquisition;
S4: selected non-linear map establishes the nuclear magnetic resonance T 2 spectrum Permeability Prediction model under pore throat character restriction on the parameters;
S5: cross validation method is used, to the nuclear magnetic resonance T 2 spectrum Permeability Prediction model under the pore throat character restriction on the parameters Debugging optimization is carried out, Nonlinear Mapping relational model is established, and forms final network model;
S6: node-by-node algorithm is carried out according to the final network model, obtains the nuclear magnetic resonance T 2 spectrum under pore throat character restriction on the parameters Permeability.
2. the nuclear magnetic resonance T 2 spectrum calculation of permeability under pore throat character restriction on the parameters according to claim 1, special Sign is, in step sl, converts pseudo- capillary pressure curve for nuclear magnetic resonance T 2 spectrum curve, includes the following steps:
Step S11: calculating scale conversion coefficient C between nuclear magnetic resonance T 2 spectrum and capillary pressure curve according to similarity principle, It is converted by formula PC=C/T2 linear relationship and obtains pseudo- capillary pressure curve;Or
Step S12: lateral scale between nuclear magnetic resonance T 2 spectrum and capillary pressure curve is calculated according to two dimension segmentation equal-area method Coefficient and longitudinal calibration factor in large and small aperture, are calculated pseudo- capillary pressure curve.
3. the nuclear magnetic resonance T 2 spectrum calculation of permeability under pore throat character restriction on the parameters according to claim 1, special Sign is, in step s 2,
The replacement pressure refers to that nonwetting phase initially enters the pressure of rock sample maximum venturi, and the calculation method used is from minimal pressure Force starts, more adjacent pressure spot into mercury saturation degree, starting point of the two into mercury saturation degree difference greater than 1% is that row drives pressure Power;
The maximum pore throat radius refers to the corresponding pore throat radius of the replacement pressure;
The hole throat median radius refers to the corresponding pore throat radius value of 50% mercury saturation degree;
The pore constriction mean value is to describe the mean place of experimental data value, that is, indicates the mean place of full throat distribution;
The primary flow bore larynx radius average value refer to permeability contribution margin it is accumulative up to 95% when pore throat radius average value;
The sorting coefficient is the parameter for reflecting Pore throat size uniform level.
4. the nuclear magnetic resonance T 2 spectrum calculation of permeability under pore throat character restriction on the parameters according to claim 1, special Sign is that in step s3, the core analysis permeability data and pore throat character parameter, NMR logging data are to pass through After permeability measured by core experiment room carries out core Location, pseudo- capillary is converted with nuclear magnetic resonance T 2 spectrum and nuclear magnetic resonance T 2 spectrum The corresponding relationship for the pore throat character parameter being calculated after pipe pressure curve.
5. the nuclear magnetic resonance T 2 spectrum calculation of permeability under pore throat character restriction on the parameters according to claim 1, special Sign is that in step s 4, the non-linear map uses BP neural network method.
6. the nuclear magnetic resonance T 2 spectrum calculation of permeability under pore throat character restriction on the parameters according to claim 5, special Sign is, the BP neural network method using single hidden layer network, input layer unit number be the nuclear magnetic resonance T 2 spectrum component from Value n is dissipated, output layer unit number is 1, and One hidden layer neuron number is calculated with following formula and obtained: n1=(n+1)1/2+ a, wherein a is Constant between 1~10.
7. the nuclear magnetic resonance T 2 spectrum calculation of permeability under pore throat character restriction on the parameters according to claim 1, special Sign is that in step s 5, the cross validation method is in given modeling sample, and most of sample is non-thread for establishing Property mapping relations model, stay fraction sample for model testing, and seek the Prediction sum squares of the fraction sample.
8. the nuclear magnetic resonance T 2 spectrum calculation of permeability under pore throat character restriction on the parameters according to claim 7, special Sign is, the sample that the major part sample is 70%, the sample that the fraction sample is 30%.
9. the nuclear magnetic resonance T 2 spectrum calculation of permeability under pore throat character restriction on the parameters according to claim 8, special Sign is, during establishing the Nonlinear Mapping relational model, using iterative algorithm constantly to described 70% sample into Row calculates;After each iteration is completed, the data of 15% sample cross verifying are assessed;When described 70% sample meter Precision is calculated when being difficult to improve, it is corresponding when being calculated error minimum using the data that wherein 15% sample carries out cross validation Network model is final network model, and is tested using the data of last 15% test the final network model.
10. the nuclear magnetic resonance T 2 spectrum calculation of permeability under pore throat character restriction on the parameters according to claim 9, special Sign is, in step s 6, carries out node-by-node algorithm to full well section using the final network model, obtains pore throat character parameter about Nuclear magnetic resonance T 2 spectrum permeability under beam.
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Cited By (2)

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CN111950193A (en) * 2020-07-15 2020-11-17 中海油田服务股份有限公司 Modeling method and device of pore network model based on reservoir
CN112966365A (en) * 2021-02-04 2021-06-15 中海石油(中国)有限公司 Ultra-low permeability condensate gas reservoir retrograde condensation injury evaluation method

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