CN106089191B - A kind of Compressive fault band structure Logging Identification Method - Google Patents
A kind of Compressive fault band structure Logging Identification Method Download PDFInfo
- Publication number
- CN106089191B CN106089191B CN201610411508.XA CN201610411508A CN106089191B CN 106089191 B CN106089191 B CN 106089191B CN 201610411508 A CN201610411508 A CN 201610411508A CN 106089191 B CN106089191 B CN 106089191B
- Authority
- CN
- China
- Prior art keywords
- porosity
- log
- value
- density
- cnl
- 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
Classifications
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
- E21B47/002—Survey of boreholes or wells by visual inspection
Abstract
The present invention relates to a kind of Compressive fault band structure Logging Identification Methods, pressure property ambient stress is analyzed, target drilling well and log are chosen, calculates crack sensitivity parameter, calculating is normalized to parameters, constructs fault zone interior structure comprehensive distinguishing parameter FZI.The curve type that the present invention can effectively identify fault zone interior structure using well-log information, and choose is conventional standard log, has very strong operability.
Description
Technical field
The invention belongs to oil and gas explorations and development technique field, and in particular to survey to a kind of Compressive fault band structure
Well recognition methods.
Background technique
Oil-gas bearing area fault development, and the Fracture Control migration and aggregation of oil gas.Fracture is rock stratum under stress
Rupture occurs and generates a kind of structural deformation phenomenon obviously relatively moved along the plane of fracture.Plane of fracture two sides rock stratum is in changing of the relative positions process
Middle generation crush and grind, catalase is strong, at the same its two sides generate largely with the crack of tomography association (Song arrives good fortune etc.,
2010).Zhang Qinglian etc. (2010) has found that the density of the diaclase of Fracture Control is at a distance from away from fracture by fieldwork
Exponential decrease relationship, closer to the plane of fracture, crack is more developed.This fault structure is divided into tomography by Billi A (2003) etc.
Core and crushed zone two parts, tomographic nuclear are a narrow band, are made of main sliding surface and fault rock；Crushed zone is located at tomographic nuclear week
Edge is mainly made of Fractured Zone and craven fault (Agosta F et al, 2006).Tveranger J(2005),
This rock three-dimensional space influenced by abstriction is defined as tomography enveloping solid by Braathen A (2009) etc., including broken
2 parts of band and induced fractures band, wherein crushed zone is to develop fault rock and associated fracture as main feature, in induced fractures band
The various types of induced fractures of major developmental (pay dawn fly etc., 2005).In short, tomography not instead of one simple " face ", one
A " band " (pay wide etc., 2008), have complicated internal structure (Caine, 1996；Gudmundsson A, 2001；Fu Xiaofei
Deng 2005).Wu Zhi equality (2010) is divided into sliding crushed zone and two class of induced fractures band according to deformation extent, by fracture belt
Structural unit.
Compressive fault is the reversed fault formed under extrusion stress field action.The effect of its stress is strong, along sliding surface two sides rock
Stone is broken serious, fracture belt structural integrity, Hydrocarbon Formation Reservoirs are controlled it is obvious, be the key that China western part basin Gas Accumulation because
Element.In general, catalase is serious in the sliding crushed zone of Compressive fault band, and it is in rock powder shape, it is multiple to educate fault gouge, part mylonite
Change, fluid handling capacity is poor, has stronger seal-off effect (Wu Kongyou etc., 2012) to oil gas.And the development of induced fractures band is a large amount of
Crack, fluid handling capacity is strong, for oil-gas migration provide channel (pay dawn fly etc., 2005).In short, fracture belt has oil gas
Transporting and closure dual capability.That is the space and time difference of fault zone interior structure will lead to it and play the part of difference in gas accumulation process
Role.Therefore, the fracture belt structure feature of prediction oil-gas bearing area underground deep development has reservoir exploration particularly important
Meaning.
For area of coverage Compressive fault, due to cannot directly observe, how accurate detection of run-out structure one
It is directly one of the problem in petroleum geology exploration.Liu Wei etc. (2013) is it is proposed that utilize differential resistivity ratio, porosity ratio, curve
Four parameters of change rate and hole diameter Magnification, and carry out quantitative detection of run-out band internal structure in conjunction with Principal Component Analysis.However,
This method is since cause due to parameter selection is few, does not consider curvilinear motion amplitude etc. in application process cannot be effectively to fracture
Band internal structure is identified.Zhao Yong just equal (2013) proposes three porosity ratio, equivalent elastic modulus difference ratio, secondary pore
Eight kinds of degree, double induction amplitude poor index, crocodile coefficient, hole diameter relative anomalies, resistivity invasion correction and cementation factor parameters are
Judge the actual parameter of fracture development in stratum.By the feature of induced fractures band inside fracture belt and sliding crushed zone it is found that splitting
It is important one of the difference of this two-part structure that whether seam, which develops, therefore, selects crack sensitivity index, building fault structure is comprehensive
Discriminant parameter is closed, fault zone interior structure can be effectively judged from log.
Summary of the invention
The purpose of the present invention is to provide a kind of Compressive fault band structure Logging Identification Methods, pass through multi-parameter log
Fitting constructs fracture belt structure composition discriminant parameter, and in conjunction with the characteristics of fault zone interior structure, quantitative division covers osmotaxis
Fracture internal structure, for the opening and closing of accurate evaluation fracture, the validity for improving oil-gas exploration and prediction provides technical support.
In order to solve the above technical problems, the present invention is achieved by the following scheme:
A kind of Compressive fault band structure Logging Identification Method, includes the following steps:
(1) judge work area ambient stress whether be pressure property ambient stress, if pressure property ambient stress, enter step (2)；
(2) it selects and calculates crack sensitivity parameter: 1. deep and shallow resistivity difference ratio RTC, 2. tri-porosity logging, 3. curve
Change rate, 4. hole diameter Magnification CALd
1. deep and shallow resistivity difference ratio RTC:
Wherein, RDFor deep lateral log value or deep resistivity log value, RSIt logs well for shallow lateral logging value or shallow resistivity
Value；Obtain curve F (RTC)
2. tri-porosity logging
Tri-porosity logging curve includes interval transit time (AC), density (DEN) and compensated neutron (CNL)；Wherein, sound is utilized
The porosity that the wave time difference calculates is primary porosity, using the porosity that density and compensated neutron calculate be including at least crack,
Total porosity including the secondary porosity in corrosion hole；
Interval transit time calculates primary porosity formula are as follows:
Wherein, Δ t is the stratum interval transit time value read from interval transit time curve, Δ tfFor Fluid in Pore sound wave when
Difference, Δ tmaFor the interval transit time value of rock matrix；
Density log calculates total porosity formula are as follows:
Wherein, ρbFor the measured value that density log curve is read, ρfFor the density value of Fluid in Pore, ρmaFor rock matrix
Density value；
Compensated neutron log calculates total porosity formula are as follows:
Wherein,For the measured value read on compensated neutron curve,For subvalue in rock matrix,For hole
The middle subvalue of middle fluid；
Total pore space angle value
The secondary porosity changing value as caused by the factors such as crack
3. curvilinear motion rate
Curve interval transit time (AC), compensated neutron (CNL) and the density (DEN) for choosing fracture sensitivity carry out curvilinear motion
Rate calculates, calculation formula are as follows:
ΔXi=(| Xi-1-Xi|+|Xi+1-Xi|)/Xi
Wherein, XiFor the log value of current depth point, Xi-1And Xi+1For the well logging of the neighbouring two o'clock of current depth point
Curve values；
4. hole diameter Magnification CALd
Calculation formula are as follows:
CAL is bit diameter, CALJTo survey hole diameter；
(3) calculating is normalized for parameters.
Curve (AC, CNL) change rate, three porosity, hole diameter Magnification are normalized using following formula:
Y=(X-Xmin)/(Xmax-Xmin)
Wherein, X indicates curve (AC, CNL) change rate, three porosity or hole diameter Magnification actual measured value, XmaxIndicating should
Curve (AC, CNL) change rate, three porosity or the hole diameter Magnification greatest measurement of kind log, XminIndicate that this kind is logged well
Curve (AC, CNL) change rate, three porosity or the hole diameter Magnification minimum measured value of curve；Obtain curve F (Δ AC), F (Δ
CNL)、F(ΔCALd)、F(ΔΦP)；
Density (DEN) change rate is normalized using following formula:
Y=1- (X-Xmin)/(Xmax-Xmin)；
Wherein, X indicates density log measured value, XmaxIndicate the greatest measurement of density log, XminIndicate density log
Minimum measured value；Obtain curve F (Δ DEN)；
(4) fault zone interior structure comprehensive distinguishing parameter FZI is constructed
FZI=[F (Δ AC)+F (Δ CNL)+F (Δ DEN)+F (RTC)+F(ΔCALd)+F(ΔΦP)]/6
Wherein, F is the function of relatively various curves, meets the following conditions:
In formula, x represents Δ AC, Δ CNL, Δ DEN, RTC、ΔCALdOr ΔΦP, a, b are critical values of anomalies, and have a <b.
The advantages and positive effects of the present invention are: the present invention can be effectively using well-log information to fault zone interior structure
The curve type for being identified, and being chosen is conventional standard log, has very strong operability.It is (fixed with the prior art
Property using single curve variation tendency carry out fracture band structure divide) compare, fault zone interior structure log is identified
Process quantification, it is more convincing, thus the present invention to subsequent development closeness of fault and fracture control hiding Effect study tool
There is great meaning.The present invention examines the identifying schemes using core observation and Image Logging Data, finds this stroke
It point shows and to be consistent with rock core and imaging logging, demonstrate the accuracy of this method.
After the detailed description of embodiment of the present invention is read in conjunction with the figure, the other features and advantages of the invention will become more
Add clear.
Detailed description of the invention
Fig. 1 is the Implementation Roadmap of the specific embodiment of the invention.
Fig. 2 is 66 well fracture internal structure log quantitative judge complex charts of row.
Specific embodiment
A specific embodiment of the invention is described in detail with reference to the accompanying drawing.
As shown in Figure 1, analyzing tectonic stress field, judge whether work area ambient stress is pressure property ambient stress, if
For pressure property ambient stress, step is continued with.
Target drilling well is chosen, log is screened, determines exceptional value a, b of curve.
It selects and calculates crack sensitivity parameter: 1. deep and shallow resistivity difference ratio RTC, 2. tri-porosity logging, 3. curvilinear motion
Rate, 4. hole diameter Magnification CALd
1. deep and shallow resistivity difference ratio RTC:
Wherein, RDFor deep lateral log value or deep resistivity log value, RSIt logs well for shallow lateral logging value or shallow resistivity
Value；Obtain curve F (RTC)；
2. tri-porosity logging
Tri-porosity logging curve includes interval transit time (AC), density (DEN) and compensated neutron (CNL)；Wherein, sound is utilized
The porosity that the wave time difference calculates is primary porosity, using the porosity that density and compensated neutron calculate be including at least crack,
Total porosity including the secondary porosity in corrosion hole；
Interval transit time calculates primary porosity formula are as follows:
Wherein, Δ t is the stratum interval transit time value read from interval transit time curve, Δ tfFor Fluid in Pore sound wave when
Difference, Δ tmaFor the interval transit time value of rock matrix；
Density log calculates total porosity formula are as follows:
Wherein, ρbFor the measured value that density log curve is read, ρfFor the density value of Fluid in Pore, ρmaFor rock matrix
Density value；
Compensated neutron log calculates total porosity formula are as follows:
Wherein,For the measured value read on compensated neutron curve,For subvalue in rock matrix,For hole
The middle subvalue of middle fluid；
Total pore space angle value
The secondary porosity changing value as caused by the factors such as crack
3. curvilinear motion rate
Curve interval transit time (AC), compensated neutron (CNL) and the density (DEN) for choosing fracture sensitivity carry out curvilinear motion
Rate calculates, calculation formula are as follows:
ΔXi=(| Xi-1-Xi|+|Xi+1-Xi|)/Xi
Wherein, XiFor the log value of current depth point, Xi-1And Xi+1For the well logging of the neighbouring two o'clock of current depth point
Curve values；
4. hole diameter Magnification CALd
Calculation formula are as follows:
CAL is bit diameter, CALJTo survey hole diameter；
(3) calculating is normalized for parameters.
Curve (AC, CNL) change rate, three porosity, hole diameter Magnification are normalized using following formula:
Y=(X-Xmin)/(Xmax-Xmin)
Wherein, X indicates curve (AC, CNL) change rate, three porosity or hole diameter Magnification actual measured value, XmaxIndicating should
Curve (AC, CNL) change rate, three porosity or the hole diameter Magnification greatest measurement of kind log, XminIndicate that this kind is logged well
Curve (AC, CNL) change rate, three porosity or the hole diameter Magnification minimum measured value of curve；Obtain curve F (Δ AC), F (Δ
CNL)、F(ΔCALd)、F(ΔΦP)；
Density (DEN) change rate is normalized using following formula:
Y=1- (X-Xmin)/(Xmax-Xmin)；
Wherein, X indicates density log measured value, XmaxIndicate the greatest measurement of density log, XminIndicate density log
Minimum measured value；Obtain curve F (Δ DEN)；
(4) fault zone interior structure comprehensive distinguishing parameter FZI is constructed
FZI=[F (Δ AC)+F (Δ CNL)+F (Δ DEN)+F (RTC)+F(ΔCALd)+F(ΔΦP)]/6
Wherein, F is the function of relatively various curves, meets the following conditions:
In formula, x represents Δ AC, Δ CNL, Δ DEN, RTC、ΔCALdOr ΔΦP, a, b are critical values of anomalies, and have a <b.
This method achieves good experiment effect when Northwestern Margin of Junggar Basin is tested.The Junggar Basin is China west
The important oil-gas bearing basin in portion, experience Hercynian period to Himalayan tectonic movement, Compressive fault development, fault activities time
Length, plane extended distance is remote, vertical turn-off is big, and part well drills fracture belt.Using this method to drilling red clover isoflavone
It arranges 66 wells and has carried out fault zone interior structure identification, work well (Fig. 2).Red clover isoflavone can be divided into upper disk induction in the well
Slit band, sliding crushed zone and lower wall induced fractures band three parts.For two disk induced fractures bands, crushed zone R is slidedTC
Value is negative or zero, shows crack agensis；CALdValue is obvious less than normal and more stable, implies that the hole diameter degree of collapsing is weaker than induced fractures
Band；Δ DEN is relatively stable, but significantly changing then occurs in two sides induced fractures band；Δ AC, Δ CNL are smaller and variation is smaller, but
Then there is more apparent bounce in induced fractures band；ΦPPerformance is stablized, related with lithology generally mud stone；FZI then presents bright
Aobvious low value shows in sliding crushed zone crack entirety agensis, and fracture development is obvious in induced fractures band.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (1)
1. a kind of Compressive fault band structure Logging Identification Method, which comprises the steps of:
(1) judge work area ambient stress whether be pressure property ambient stress, if pressure property ambient stress, enter step (2)；
(2) it selects and calculates crack sensitivity parameter: 1. deep and shallow resistivity difference ratio RTC, 2. tri-porosity logging, 3. curvilinear motion
Rate, 4. hole diameter Magnification CALd；
1. deep and shallow resistivity difference ratio RTC:
Wherein, RDFor deep lateral log value or deep resistivity log value, RsFor shallow lateral logging value or shallow resistivity log value；?
To curve F (RTC)；
2. tri-porosity logging
Tri-porosity logging curve includes interval transit time (AC), density (DEN) and compensated neutron (CNL)；When wherein, using sound wave
The porosity that difference calculates is primary porosity, is including at least crack, corrosion using the porosity that density and compensated neutron calculate
Total porosity including the secondary porosity in hole；
Interval transit time calculates primary porosity formula are as follows:
Wherein, Δ t is the stratum interval transit time value read from interval transit time curve, Δ tfFor the interval transit time value of Fluid in Pore,
ΔtmaFor the interval transit time value of rock matrix；
Density log calculates total porosity formula are as follows:
Wherein, ρbFor the measured value that density log curve is read, ρfFor the density value of Fluid in Pore, ρmaFor matrix density
Value；
Compensated neutron log calculates total porosity formula are as follows:
Wherein,For the measured value read on compensated neutron curve,For subvalue in rock matrix,To be flowed in hole
The middle subvalue of body；
Total pore space angle value
The secondary porosity changing value as caused by the factor of crack
3. curvilinear motion rate
Choose curve interval transit time (AC), compensated neutron (CNL) and density (DEN) march Linear change rate meter of fracture sensitivity
It calculates, calculation formula are as follows:
ΔXi=(| Xi-1-Xi|+|Xi+1-Xi|)/Xi；
Wherein, XiFor the log value of current depth point, Xi-1And Xi+1For the log of the neighbouring two o'clock of current depth point
Value；
4. hole diameter Magnification CALd
Calculation formula are as follows:
CAL is bit diameter, CALJTo survey hole diameter；
(3) calculating is normalized for parameters:
Interval transit time (AC), compensated neutron (CNL) curvilinear motion rate, three porosity, hole diameter Magnification use following formula normalizing
Change:
Y=(X-Xmin)/(Xmax-Xmin)
Wherein, X indicates interval transit time (AC), compensated neutron (CNL) curvilinear motion rate, three porosity or the practical survey of hole diameter Magnification
Magnitude, XmaxIndicate the interval transit time (AC), compensated neutron (CNL) curvilinear motion rate, three porosity or hole diameter of this kind of log
Magnification greatest measurement, XminIndicate interval transit time (AC), compensated neutron (CNL) the curvilinear motion rate, three of this kind of log
Porosity or hole diameter Magnification minimum measured value；Obtain curve F (Δ AC), F (Δ CNL), F (Δ CALd)、F(ΔΦP)；
Density (DEN) change rate is normalized using following formula:
Y '=1- (X '-X 'min)/(X′max-X′min)；
Wherein, X ' expression density log measured value, X 'maxIndicate the greatest measurement of density log, X 'minIndicate density log
Minimum measured value；Obtain curve F (Δ DEN)；
(4) fault zone interior structure comprehensive distinguishing parameter FZI is constructed
FZI=[F (Δ AC)+F (Δ CNL)+F (Δ DEN)+F (RTC)+F(ΔCALd)+F(ΔΦP)]/6
Wherein, F is the function of relatively various curves, meets the following conditions:
In formula, χ represents Δ AC, Δ CNL, Δ DEN, RTC、ΔCALdOr ΔΦP, a, b are critical values of anomalies, and have a <b.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610411508.XA CN106089191B (en) | 2016-06-12 | 2016-06-12 | A kind of Compressive fault band structure Logging Identification Method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610411508.XA CN106089191B (en) | 2016-06-12 | 2016-06-12 | A kind of Compressive fault band structure Logging Identification Method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106089191A CN106089191A (en) | 2016-11-09 |
| CN106089191B true CN106089191B (en) | 2019-03-26 |
Family
ID=57845282
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610411508.XA Active CN106089191B (en) | 2016-06-12 | 2016-06-12 | A kind of Compressive fault band structure Logging Identification Method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106089191B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107132586B (en) * | 2017-04-19 | 2021-04-16 | 华北理工大学 | Quantitative identification method for structural unit of fracture belt of fractured basin |
| CN109814174B (en) * | 2019-01-24 | 2021-07-06 | 中国石油大学(华东) | Comprehensive well logging identification method for clastic rock unconformity structure body |
| CN109919184A (en) * | 2019-01-28 | 2019-06-21 | 中国石油大学(北京) | A kind of more well complex lithology intelligent identification Methods and system based on log data |
| CN112068200B (en) * | 2020-09-12 | 2022-04-29 | 东北石油大学 | Quantitative characterization and prediction method for internal structure of outcrop zone fracture zone |
| CN112302623B (en) * | 2020-10-31 | 2023-07-28 | 中国海洋石油集团有限公司 | Granite down-the-hole weathering crust structure division method based on logging data |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103382838A (en) * | 2013-07-25 | 2013-11-06 | 中国石油大学(北京) | Reservoir stratum analysis method and device based on pressing-ability of fracturing geological body |
| CN104018831A (en) * | 2014-06-24 | 2014-09-03 | 西南石油大学 | Method for evaluating reservoir of fractured well |
| CN104074514A (en) * | 2014-07-14 | 2014-10-01 | 中国石油大学(华东) | Logging distinguishing method of fault structure |
| CN104678436A (en) * | 2015-03-11 | 2015-06-03 | 中国石油大学(华东) | Method for predicting thickness of compressional fault zone on coverage area |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6925031B2 (en) * | 2001-12-13 | 2005-08-02 | Baker Hughes Incorporated | Method of using electrical and acoustic anisotropy measurements for fracture identification |
-
2016
- 2016-06-12 CN CN201610411508.XA patent/CN106089191B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103382838A (en) * | 2013-07-25 | 2013-11-06 | 中国石油大学(北京) | Reservoir stratum analysis method and device based on pressing-ability of fracturing geological body |
| CN104018831A (en) * | 2014-06-24 | 2014-09-03 | 西南石油大学 | Method for evaluating reservoir of fractured well |
| CN104074514A (en) * | 2014-07-14 | 2014-10-01 | 中国石油大学(华东) | Logging distinguishing method of fault structure |
| CN104678436A (en) * | 2015-03-11 | 2015-06-03 | 中国石油大学(华东) | Method for predicting thickness of compressional fault zone on coverage area |
Non-Patent Citations (1)
| Title |
|---|
| 含油气盆地断裂带内部结构特征及其与油气运聚的关系;陈伟;《中国博士学位论文全文数据库（基础科学辑）》;20111015(第10期);50-52 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106089191A (en) | 2016-11-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106089191B (en) | A kind of Compressive fault band structure Logging Identification Method | |
| US7225078B2 (en) | Method and system for predicting production of a well | |
| CN104329079B (en) | Method and system for recognizing gas logging oil and gas reservoir | |
| CN103603659B (en) | Utilize the method for Using Conventional Logs identification Complicated Pore Structures fluid type of reservoir through | |
| US11435304B2 (en) | Estimating downhole fluid volumes using multi-dimensional nuclear magnetic resonance measurements | |
| Xiao et al. | Comparative study of models for predicting permeability from nuclear magnetic resonance (NMR) logs in two Chinese tight sandstone reservoirs | |
| CN104678436B (en) | A kind of area of coverage Compressive fault tape thickness Forecasting Methodology | |
| Askari et al. | A fully integrated method for dynamic rock type characterization development in one of Iranian off-shore oil reservoir | |
| CN108490491A (en) | A kind of beach body prediction technique indicating inverting based on waveform | |
| CN108035709A (en) | A kind of definite method and device of shale reservoir quality | |
| Xiao et al. | Tight-gas-sand permeability estimation from nuclear-magnetic-resonance (NMR) logs based on the hydraulic-flow-unit (HFU) approach | |
| WO2022056194A1 (en) | Method and system for determining energy-based brittleness | |
| CN113775326B (en) | Method and device for evaluating movable water saturation, electronic equipment and medium | |
| CN111206921A (en) | Description method suitable for favorable reservoir stratum of volcanic overflow phase | |
| CN115390155A (en) | Well logging interpretation method, device, electronic equipment and medium for heterogeneous reservoir | |
| CN109826623A (en) | Knowledge method is sentenced in a kind of geophysical log of tight sandstone reservoir stratification seam | |
| CN106353813B (en) | Flow net model method based on array sonic log | |
| CN111650644B (en) | Quantitative prediction method for salt cemented sandstone | |
| Davies | Permeability Modelling of a Sandstone Reservoir in Parts of the Niger Delta | |
| Vasilev et al. | Interference test in naturally fractured formation gas field case study | |
| Zhou et al. | Toward improved coal density estimation from geophysical logs | |
| Darmawan et al. | Characterization of carbonate reservoir by using nuclear magnetic resonance (NMR) logging analysis at hydrocarbon field C South Sumatera | |
| Li et al. | Application of nuclear magnetic resonance logging in the low-resistivity reservoir—Taking the XP area as an example | |
| Li et al. | Petrophysical Rock Typing Based on Pore Geometry Improves Permeability and Bound Fluid Volume Estimation in Heterogeneous Sandstone Formations | |
| CN110439534A (en) | A kind of seismic data leakage prediction technique |
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 |