CN105182431B - The component identification of petroleum reservoir rock and quantitative evaluation method - Google Patents
The component identification of petroleum reservoir rock and quantitative evaluation method Download PDFInfo
- Publication number
- CN105182431B CN105182431B CN201510613657.XA CN201510613657A CN105182431B CN 105182431 B CN105182431 B CN 105182431B CN 201510613657 A CN201510613657 A CN 201510613657A CN 105182431 B CN105182431 B CN 105182431B
- Authority
- CN
- China
- Prior art keywords
- relaxation time
- mrow
- spectrogram
- rock
- 2sec
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Measuring Volume Flow (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The present invention, which provides a kind of component identification of petroleum reservoir rock and quantitative evaluation method, this method, to be included:The NMR response signal of sample rock is received, inverting is carried out to the response signal, obtains the first spectrogram;Aperiodic relaxation time T is calculated according to first spectrogram2sec, and longitudinal relaxation time T1With T2 T2Ratio T1/T2, first spectrogram is projected to longitudinal relaxation time T1With T2 T2Ratio T1/T2, and aperiodic relaxation time T2secIn the coordinate system of reference axis, to form the second spectrogram;According to cutoff set in advance, the region where different aperture type is divided on second spectrogram, and the ratio shared by each porosity type is obtained by integration method.The component identification of petroleum reservoir rock provided by the invention and quantitative evaluation method, improve the accuracy of reservoir rock component identification and the reliability of Quantitative Evaluation of Reservoirs result.
Description
Technical field
The present invention relates to the component of oil exploration technology field, more particularly to a kind of petroleum reservoir rock to identify and quantitatively comment
Valency method.
Background technology
Petroleum resources are a kind of important life and the resources of production, with the development of society, growing day by day in order to meet
Oil demand, oil exploration technology are developed rapidly.Wherein, the oil exploration technology based on nuclear magnetic resonance is current main flow
One of exploration engineering.
Oil exploration technology based on nuclear magnetic resonance is that a kind of nuclear magnetic resonance by Study In Reservoir porous media rock rings
Should, so as to obtain the technology of reservoir rock hole component information.The reservoir unrelated with mineralogical composition can be obtained based on the technology
The information such as rock porosity, pore-size distribution, saturation degree, quantitative assessment of these information for reservoir are significant.
But existing nuclear magnetic resonance oil exploration technology, inaccurate, storage is identified there is the hole component of reservoir rock
The layer insecure problem of quantitative assessment result.
The content of the invention
The present invention provides component identification and the quantitative evaluation method of a kind of petroleum reservoir rock, is surveyed to solve existing oil
Reservoir rock hole component identification inaccuracy, the insecure problem of Quantitative Evaluation of Reservoirs result in spy technology.
The component identification of petroleum reservoir rock provided by the invention and quantitative evaluation method, including
The NMR response signal of sample rock is received, inverting is carried out to the response signal, obtains the first spectrogram;
Aperiodic relaxation time T is calculated according to first spectrogram2sec, and longitudinal relaxation time T1During with transverse relaxation
Between T2Ratio T1/T2, first spectrogram is projected to longitudinal relaxation time T1With T2 T2Ratio T1/
T2, and aperiodic relaxation time T2secIn the coordinate system of reference axis, to form the second spectrogram;
According to cutoff set in advance, the region where different aperture type is divided on second spectrogram, and lead to
Cross integration method and obtain the ratio shared by each porosity type.
The component identification of petroleum reservoir rock provided by the invention and quantitative evaluation method, by being total to the nuclear-magnetism received
Vibration response signal carries out inverting, obtains the first spectrogram;And when the first spectrogram is projected to longitudinal relaxation time and transverse relaxation
Between ratio and the aperiodic relaxation time for reference axis coordinate system in, formed the second spectrogram;According to cutoff set in advance,
The region where different aperture type is divided on the second spectrogram, and the ratio shared by each porosity type is determined by the method for integration
Example, it is achieved thereby that identification and quantitative assessment to reservoir rock hole component, identification accuracy is higher, quantitative assessment result can
Lean on.
Brief description of the drawings
Fig. 1 is that the component identification for the petroleum reservoir rock that one embodiment of the invention provides and the flow of quantitative evaluation method are shown
It is intended to;
Fig. 2 is component identification and the flow of quantitative evaluation method for the petroleum reservoir rock that another embodiment of the present invention provides
Schematic diagram;
Fig. 3 is component identification and the flow of quantitative evaluation method for the petroleum reservoir rock that further embodiment of this invention provides
Schematic diagram.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
Part of the embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
Below using nuclear magnetic resonance device as executive agent, the method for the present invention is described in detail.
Fig. 1 is that the component identification for the petroleum reservoir rock that one embodiment of the invention provides and the flow of quantitative evaluation method are shown
It is intended to, as shown in figure 1, the method that the present embodiment provides comprises the following steps:
Step 101, the NMR response signal for receiving sample rock, inverting is carried out to the response signal, obtains the
One spectrogram;
Specifically, in the present embodiment, the sample rock be sealing core drilling rock core, it is conventional core rock core and saturation it is single-phase
Or any one in heterogeneous fluid rock core.The NMR response signal of sample rock be specially free induction decay signal or
Spin echo string signal.Nuclear magnetic resonance device is after free induction decay signal or spin echo string signal is received, according to interior
The inversion algorithm put obtains two dimensional NMR relaxation spectrum, i.e. the first spectrogram, first spectrogram is with longitudinal relaxation time T1
With T2 T2For the two-dimensional spectrum of reference axis.
What deserves to be explained is the inversion algorithm used in this step can be any one in existing inversion algorithm, this
Embodiment is not specifically limited.
Step 102, according to first spectrogram, calculate aperiodic relaxation time T2sec, and longitudinal relaxation time T1With horizontal stroke
To relaxation time T2Ratio T1/T2, first spectrogram is projected to longitudinal relaxation time T1With T2 T2's
Ratio T1/T2, and aperiodic relaxation time T2secIn the coordinate system of reference axis, to form the second spectrogram;
Wherein, longitudinal relaxation time T1With T2 T2Ratio, and aperiodic relaxation time T2secIt can lead to
In the following manner is crossed to try to achieve:
Sample rock intramolecular dipole coupling longitudinal relaxation time T is calculated according to formula (1)1,intra:
Sample rock intramolecular dipole coupling T2 T is calculated according to formula (2)2,intra:
Wherein, γ is gyromagnetic ratio,For Planck's constant, r is the distance between adjacent hydrogen atom, and τ is that proton rotation is related
Time, ω are angular frequency.
The intermolecular dipole coupling longitudinal relaxation time T of sample rock is calculated according to formula (3)1,inter:
The intermolecular dipole coupling T2 T of sample rock is calculated according to equation below (4)2,inter:
Wherein, γ is gyromagnetic ratio,For Planck's constant, S1It is the Fourier spectrum density function on proton spin position,
ω is angular frequency;
S is calculated by equation below (5)1:
Wherein, n is proton quantity in unit volume, and a minimum distances between proton, τ is proton spin correlation time, ω
For angular frequency.
T is calculated according to formula (1)-(5), and equation below (6)1/T2:
T1/T2=(1/T1,intra+1/T1,inter)/(1/T2,intra+1/T2,inter) (6)
Aperiodic relaxation time T is calculated according to formula (1)-(5), and equation below (7)2sec:
T2sec=(1/T2,intra+1/T2,inter)-(1/T1,intra+1/T1,inter) (7)
Step 103, according to cutoff set in advance, the area where different aperture type is divided on second spectrogram
Domain, and the ratio shared by each porosity type is obtained by integration method.
Specifically, nuclear magnetic resonance device is composed according to the cutoff set in advance for being used to distinguish each porosity type from second
All porosity types included, and the region where each porosity type are identified on figure, and by each porosity type institute
Region integrated, obtain the ratio shared by each porosity type.
The component identification for the petroleum reservoir rock that the present embodiment provides and quantitative evaluation method, pass through the nuclear-magnetism to receiving
Resonance response signal carries out inverting, obtains the first spectrogram;And the first spectrogram is projected to longitudinal relaxation time and transverse relaxation
In the ratio of time, and the coordinate system that the aperiodic relaxation time is reference axis, the second spectrogram is formed;According to set in advance section
Only it is worth, the region where different aperture type is divided on the second spectrogram, and each porosity type institute is determined by the method for integration
The ratio accounted for, it is achieved thereby that identification and quantitative assessment to reservoir rock hole component, identification accuracy is higher, quantitative assessment
Reliable results.
Fig. 2 is component identification and the flow of quantitative evaluation method for the petroleum reservoir rock that another embodiment of the present invention provides
Schematic diagram, as shown in Fig. 2 the present embodiment on the basis of method shown in Fig. 1, also comprises the following steps:
Step 104, the mathematical relationship according to the viscosity of fluid in sample blowhole and proton spin correlation time τ, with
And proton spin correlation time τ and longitudinal relaxation time T1With T2 T2Mathematical relationship, obtain T1/T2With fluid
The relation curve of viscosity;
Specifically, formula (1)-(6) in above-described embodiment, obtain proton spin correlation time τ and longitudinal relaxation
Time T1With T2 T2Relationship, according to the proton spin correlation time τ of acquisition and longitudinal relaxation time T1
With T2 T2Relationship, obtain proton spin correlation time τ and T1/T2Relationship, fluid is glued
The relationship (8) of degree and proton spin correlation time τ substitutes into τ and T1/T2Relationship in, obtain T1/T2With fluid
The relationship of viscosity, so as to according to T1/T2With the relationship of fluid viscosity, T is formed1/T2With the relation of fluid viscosity
Curve.
Wherein, the relationship (8) of the fluid viscosity and proton spin correlation time τ is:
The π η a of τ=43/3kT (8)
η is fluid viscosity, and a is molecular radius, and k is Boltzmann constant, and T is temperature.
Step 105, the mathematical relationship according to the viscosity of fluid in sample blowhole and proton spin correlation time τ, with
And the proton spin correlation time τ and aperiodic relaxation time T2secMathematical relationship, obtain T2secWith the relation of fluid viscosity
Curve;
Specifically, formula (1)-(7) in above-described embodiment, obtain proton spin correlation time τ and the non-week
Relaxation time phase T2secRelationship, above-mentioned formula (8) is substituted into proton spin correlation time τ and the aperiodic relaxation
Time T2secRelationship in, obtain T2secWith the relationship of fluid viscosity, and according to T2secWith the number of fluid viscosity
Relational expression is learned, forms T2secWith the relation curve of fluid viscosity.
Step 106, according to the T1/T2With the relation curve of fluid viscosity, and the aperiodic relaxation time T2secWith
The relation curve of fluid viscosity, the region where different fluid viscosity component is divided on second spectrogram;
Specifically, according to T1/T2With the relation curve and T of fluid viscosity2secWith the relation curve of fluid viscosity, it is determined that often
T corresponding to one viscosity number2secAnd T1/T2Value, so that it is determined that distribution situation of the different viscosities value on the second spectrogram.According to pre-
The cutoff of each fluid viscosity component of differentiation first set, determines each fluid viscosity component region residing on the second spectrogram.
Step 107, according to where the region where the different fluid viscosity component and the different aperture type
Region, quantitative assessment is carried out to the sample rock.
Specifically, according to the region at each porosity type and each fluid viscosity component place on the second spectrogram, each hole is determined
The intersection area of gap type and each fluid viscosity component, so that it is determined that the component of fluid viscosity corresponding to each porosity type, and lead to
The method for crossing integration integrates to the intersection area of each porosity type and each fluid viscosity component, obtains each intersection area the
Shared ratio on two spectrograms.So as to reach the purpose that quantitative assessment is carried out to sample rock.
The present embodiment is on the basis of embodiment illustrated in fig. 1, by determining aperiodic relaxation time T2secWith fluid viscosity
Relation curve, and longitudinal relaxation time T1With T2 T2Ratio T1/T2With the relation curve of fluid viscosity,
So that it is determined that region of each fluid viscosity component where go the second spectrogram, by taking common factor with each porosity type region,
And each intersection area ratio shared on the second spectrogram is calculated, so as to reach the mesh that quantitative assessment is carried out to sample rock
, quantitative assessment result is accurately and reliably.
Fig. 3 is component identification and the flow of quantitative evaluation method for the petroleum reservoir rock that further embodiment of this invention provides
Schematic diagram, as shown in figure 3, the method that the present embodiment provides comprises the following steps:
Step 201, polarized sample rock, form macroscopic magnetization vector;
Specifically, sample rock is put into the probe of nuclear magnetic resonance device, the proton in sample rock produces in probe
Magnetic fields under, polarize, spin orientation is excessive to order state from being put into the mixed and disorderly state before magnetic field, produces energy level jump
Move.Until sample rock perfact polarization, macroscopic magnetization vector is formed.
Step 202, launch radiofrequency signal, frequency and the sample rock proton of the radiofrequency signal to the sample rock
The frequency of Spin precession is identical;
Specifically, nuclear magnetic resonance device with proton Spin precession frequency identical frequency in sample rock, to sample rock
Stone launches radiofrequency signal, and proton spin is changed from the poised state after perfact polarization to nonequilibrium condition, and magnetization vector is pulled
Turn.After radiofrequency signal effect stops, proton spin recovers to poised state again.
Step 203, the NMR response signal for receiving sample rock, inverting is carried out to the response signal, obtains the
One spectrogram;
Step 204, according to first spectrogram, calculate aperiodic relaxation time T2sec, and longitudinal relaxation time T1With horizontal stroke
To relaxation time T2Ratio T1/T2, first spectrogram is projected to longitudinal relaxation time T1With T2 T2's
Ratio T1/T2, and aperiodic relaxation time T2secIn the coordinate system of reference axis, to form the second spectrogram;
Step 205, according to cutoff set in advance, the area where different aperture type is divided on second spectrogram
Domain, and the ratio shared by each porosity type is obtained by integration method;
Step 206, the mathematical relationship according to the viscosity of fluid in sample blowhole and proton spin correlation time τ, with
And proton spin correlation time τ and longitudinal relaxation time T1With T2 T2Mathematical relationship, obtain T1/T2With fluid
The relation curve of viscosity;
Step 207, the mathematical relationship according to the viscosity of fluid in sample blowhole and proton spin correlation time τ, with
And the proton spin correlation time τ and aperiodic relaxation time T2secMathematical relationship, obtain T2secWith the relation of fluid viscosity
Curve;
Step 208, according to the T1/T2With the relation curve of fluid viscosity, and the aperiodic relaxation time T2secWith
The relation curve of fluid viscosity, the region where different fluid viscosity component is divided on second spectrogram.
Above-mentioned steps 203-208 specific executive mode and beneficial effect, the execution side with method shown in Fig. 1 and Fig. 2
Formula is similar with effect, repeats no more herein.
Finally it should be noted that:Various embodiments above is merely illustrative of the technical solution of the present invention, rather than its limitations;To the greatest extent
The present invention is described in detail with reference to foregoing embodiments for pipe, it will be understood by those within the art that:Its according to
The technical scheme described in foregoing embodiments can so be modified, either which part or all technical characteristic are entered
Row equivalent substitution;And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention technology
The scope of scheme.
Claims (4)
1. a kind of component identification of reservoir rock and quantitative evaluation method, it is characterised in that including:
The NMR response signal of sample rock is received, inverting is carried out to the response signal, obtains the first spectrogram;
According to first spectrogram, aperiodic relaxation time T is calculated2sec, and longitudinal relaxation time T1With T2 T2
Ratio T1/T2, first spectrogram is projected to longitudinal relaxation time T1With T2 T2Ratio T1/T2, with
And aperiodic relaxation time T2secIn the coordinate system of reference axis, to form the second spectrogram;
According to cutoff set in advance, the region where different aperture type is divided on second spectrogram, and pass through product
Point method obtains the ratio shared by each porosity type;
The calculating longitudinal relaxation time T1With T2 T2Ratio, including:
Sample rock intramolecular dipole coupling longitudinal relaxation time is calculated according to equation below (1):
Sample rock intramolecular dipole coupling T2 is calculated according to equation below (2):
Wherein, T1,intraFor intramolecular dipole coupling longitudinal relaxation time, T2,intraFor intramolecular dipole coupling transverse relaxation when
Between, γ is gyromagnetic ratio,For Planck's constant, r is the distance between adjacent hydrogen atom, and τ is proton spin correlation time, and ω is
Angular frequency;
The intermolecular dipole coupling longitudinal relaxation time of sample rock is calculated according to equation below (3):
The intermolecular dipole coupling T2 of sample rock is calculated according to equation below (4):
Wherein, T1,interFor intermolecular dipole coupling longitudinal relaxation time, T2,interFor intermolecular dipole coupling transverse relaxation when
Between, γ is gyromagnetic ratio,For Planck's constant, S1It is the Fourier spectrum density function on proton spin position, ω is angular frequency
Rate;
Wherein, the S1It is calculated by equation below (5):
<mrow>
<msub>
<mi>S</mi>
<mn>1</mn>
</msub>
<mrow>
<mo>(</mo>
<mi>&omega;</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mrow>
<mn>8</mn>
<mi>&pi;</mi>
<mi>n</mi>
</mrow>
<mrow>
<mn>45</mn>
<msup>
<mi>a</mi>
<mn>3</mn>
</msup>
</mrow>
</mfrac>
<mfrac>
<mi>&tau;</mi>
<mrow>
<mn>1</mn>
<mo>+</mo>
<msup>
<mrow>
<mo>(</mo>
<mfrac>
<mrow>
<mi>&omega;</mi>
<mi>&tau;</mi>
</mrow>
<mn>2</mn>
</mfrac>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>5</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, n is proton quantity in unit volume, and a minimum distances between proton, τ is proton spin correlation time, and ω is angle
Frequency;
The longitudinal relaxation time T is determined according to equation below (6)1With T2 T2Ratio:
T1/T2=(1/T1,intra+1/T1,inter)/(1/T2,intra+1/T2,inter) (6);
It is described to calculate aperiodic relaxation time T2sec, including:
The aperiodic relaxation time T is calculated according to equation below (7)2sec:
T2sec=(1/T2,intra+1/T2,inter)-(1/T1,intra+1/T1,inter) (7)。
2. according to the method for claim 1, it is characterised in that methods described also includes:
According to the viscosity of fluid in sample blowhole and proton spin correlation time τ mathematical relationship, and proton rotation phase
Close time τ and longitudinal relaxation time T1With T2 T2Mathematical relationship, obtain T1/T2It is bent with the relation of fluid viscosity
Line;
According to the viscosity of fluid in sample blowhole and proton spin correlation time τ mathematical relationship, and proton rotation phase
Close time τ and the aperiodic relaxation time T2secMathematical relationship, obtain T2secWith the relation curve of fluid viscosity;
Wherein, the mathematical relationship of the fluid viscosity and proton spin correlation time τ is:
The π η a of τ=43/3kT (8)
Wherein, η is fluid viscosity, and a is molecular radius, and k is Boltzmann constant, and T is temperature;
According to the T1/T2With the relation curve of fluid viscosity, and the aperiodic relaxation time T2secWith the pass of fluid viscosity
It is curve, the region where different fluid viscosity component is divided on second spectrogram;
According to the region where the different fluid viscosity component and the region where the different aperture type, to the sample
Product rock carries out quantitative assessment.
3. according to the method for claim 1, it is characterised in that the NMR response signal for receiving sample rock,
Inverting is carried out to the response signal, before obtaining the first spectrogram, in addition to:
Polarized sample rock, form macroscopic magnetization vector;
Launch radiofrequency signal, the frequency of the radiofrequency signal and the frequency of the Spin precession of sample rock proton to the sample rock
Rate is identical.
4. the method according to claim 1 or 3, it is characterised in that the sample rock is sealing core drilling rock core, routine takes
Heart rock core and saturation is single-phase or heterogeneous fluid rock core in any one.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510613657.XA CN105182431B (en) | 2015-09-23 | 2015-09-23 | The component identification of petroleum reservoir rock and quantitative evaluation method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510613657.XA CN105182431B (en) | 2015-09-23 | 2015-09-23 | The component identification of petroleum reservoir rock and quantitative evaluation method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN105182431A CN105182431A (en) | 2015-12-23 |
CN105182431B true CN105182431B (en) | 2018-02-13 |
Family
ID=54904627
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510613657.XA Active CN105182431B (en) | 2015-09-23 | 2015-09-23 | The component identification of petroleum reservoir rock and quantitative evaluation method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105182431B (en) |
Families Citing this family (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106291701B (en) * | 2016-10-13 | 2019-03-15 | 成都理工大学 | Reservoir detecting method and device |
CN109030311B (en) * | 2018-07-16 | 2021-01-15 | 西南石油大学 | Based on nuclear magnetic resonance T2Method for classifying and identifying pore structure of spectrum sensitive parameter |
CN109142150B (en) * | 2018-09-11 | 2021-03-30 | 中国石油天然气股份有限公司 | Method and device for detecting flowability of crude oil |
CN113405962B (en) * | 2020-03-16 | 2023-02-10 | 中国石油天然气股份有限公司 | Storage space evaluation method and device for carbonate reservoir |
CN111535796A (en) | 2020-04-17 | 2020-08-14 | 中海油田服务股份有限公司 | Method and device for acquiring logging parameters |
CN113433157B (en) * | 2021-06-24 | 2023-12-15 | 西南石油大学 | Method for establishing random unit equivalent core model based on nuclear magnetic resonance T2 spectrum |
CN115400980B (en) * | 2022-11-02 | 2023-02-10 | 天津美腾科技股份有限公司 | Oil shale sorting method and device |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020175682A1 (en) * | 2001-05-23 | 2002-11-28 | Songhua Chen | Rapid nmr multi-frequency t1 and t2 acquisition for earth formations evaluation with mwd or wireline tools |
US6972564B2 (en) * | 2001-11-06 | 2005-12-06 | Baker Hughes Incorporated | Objective oriented methods for NMR log acquisitions for estimating earth formation and fluid properties |
US7705592B2 (en) * | 2008-02-01 | 2010-04-27 | Baker Hughes Incorporated | Two dimensional T1/T2APP-T2APP processing of multi-gradient NMR data |
-
2015
- 2015-09-23 CN CN201510613657.XA patent/CN105182431B/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN105182431A (en) | 2015-12-23 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105182431B (en) | The component identification of petroleum reservoir rock and quantitative evaluation method | |
Guo et al. | Advances in low-field nuclear magnetic resonance (NMR) technologies applied for characterization of pore space inside rocks: a critical review | |
Mao et al. | Estimation of permeability by integrating nuclear magnetic resonance (NMR) logs with mercury injection capillary pressure (MICP) data in tight gas sands | |
CN108020488B (en) | The method and apparatus of nuclear magnetic resonance evaluation tight sand oil and gas reservoir wetability | |
RU2670568C2 (en) | Flowmeter with a measuring device implementing tomographic measurement principle | |
CN106383365B (en) | A method of igneous rock NMR porosity is corrected using plate | |
CN107525553B (en) | Method and device for determining component flow of multi-phase fluid | |
CN101995413B (en) | Method for measuring cement settling time by using hydrogen proton low field nuclear magnetic resonance technology | |
CN105240001A (en) | Method and device for correcting nuclear magnetic resonance logging porosity | |
CN105891089A (en) | Method and device for determining permeability of reservoir | |
CN107907911A (en) | Method for measuring oil content of compact reservoir based on nuclear magnetic resonance | |
Afrough et al. | Magnetic-resonance imaging of high-pressure carbon dioxide displacement: fluid/surface interaction and fluid behavior | |
CN106644879B (en) | Method and device for determining permeability contribution values of different pore components of rock core | |
Müller-Petke et al. | The inversion of surface-NMR T 1 data for improved aquifer characterization | |
Appel et al. | Robust multi-phase flow measurement using magnetic resonance technology | |
BRPI0908032B1 (en) | NMR PROFILE METHOD AND TOOL FOR DETERMINING GROUND TRAINING GAS INTEREST PARAMETER AND COMPUTER-READABLE MEDIA PRODUCT | |
CN110029990B (en) | Nuclear magnetic resonance logging method and device | |
AU2017204581A1 (en) | Nuclear magnetic resonance tool calibration | |
CN105136836B (en) | Low-field nuclear magnetic resonance determines the method and device of asphalt content | |
Guo et al. | Laminar flow characterization using low-field magnetic resonance techniques | |
CN106066494B (en) | A kind of igneous rock NMR porosity bearing calibration and T2 distribution correction methods | |
Elsayed et al. | New technique for evaluating fracture geometry and preferential orientation using pulsed field gradient nuclear magnetic resonance | |
Glorioso et al. | Deriving capillary pressure and water saturation from NMR transversal relaxation times | |
CN106570235B (en) | Method and device for acquiring electrical parameters of tight sandstone rock | |
CN109031437A (en) | With brill nmr spin echo bearing calibration and device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |