CN108072916A - Lacustrine facies mud shale lithofacies Logging Identification Method based on genetic analysis - Google Patents
Lacustrine facies mud shale lithofacies Logging Identification Method based on genetic analysis Download PDFInfo
- Publication number
- CN108072916A CN108072916A CN201611025247.4A CN201611025247A CN108072916A CN 108072916 A CN108072916 A CN 108072916A CN 201611025247 A CN201611025247 A CN 201611025247A CN 108072916 A CN108072916 A CN 108072916A
- Authority
- CN
- China
- Prior art keywords
- carbonate
- lithofacies
- content
- clay
- resistivity
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V11/00—Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
Landscapes
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Geophysics (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The present invention provides a kind of lacustrine facies mud shale lithofacies Logging Identification Method based on genetic analysis, and being somebody's turn to do the lacustrine facies mud shale lithofacies Logging Identification Method based on genetic analysis includes：Step 1, from the actual geologic information of research object, mud shale Lithofacies Types analysis is carried out；Step 2, from the essential mineral origin cause of formation and occurrence analysis, typical borehole logging tool tracing pattern, the influence of the Mineral pairs log of different origins type is analyzed；Step 3, with reference to lithofacies well logging recognition pattern, the well logging recognition pattern plate for adapting to research object is established；Step 4, it would be desirable to which the log data and recognition mode segmentation for identifying lithofacies well compare, and carry out lithofacies and identify one by one.The lacustrine facies mud shale lithofacies Logging Identification Method based on genetic analysis is easy to operate, can the extensive use in oil field prospecting research, provide new Research Thinking and technological means for the exploration of terrestrial lake basin shale oil gas.
Description
Technical field
The present invention relates to oil-gas field geology Exploration Domains, especially relate to a kind of lacustrine facies mud shale based on genetic analysis
Lithofacies Logging Identification Method.
Background technology
The success of North America marine facies shale oil-gas exploration so that the research of terrestrial lake basin mud shale is paid attention to, different from marine facies
Mud shale, main brittle mineral is carbonate rock rather than quartz in lacustrine facies mud shale, and the lithofacies variation of lacustrine facies mud shale is greatly,
Lithofacies Identification is the important foundation work of terrestrial facies shale oil-gas exploration research.
The lithology or lithofacies well logging recognition of conventional oil reservoir are relatively simple, and mud shale lithofacies are often by different lithology or ore deposit
The combination of the intensive thin interbed of object composition identifies thin interbed, it is difficult to obtain ideal effect with the log interpretation method of conventional reservoir.
Therefore we have invented a kind of new lacustrine facies mud shale lithofacies Logging Identification Method based on genetic analysis, solves more than technology
Problem.
The content of the invention
The object of the present invention is to provide one kind on the basis of genetic analysis, the content of essential mineral and occurrence in lithofacies are specified
Influence to log, and the lacustrine facies mud shale lithofacies based on genetic analysis that the mode for establishing well logging recognition pattern is realized are surveyed
Well recognition methods.
The purpose of the present invention can be achieved by the following technical measures：Lacustrine facies mud shale lithofacies well logging based on genetic analysis
Recognition methods, being somebody's turn to do the lacustrine facies mud shale lithofacies Logging Identification Method based on genetic analysis includes：Step 1, from the reality of research object
Border geologic information sets out, and carries out mud shale Lithofacies Types analysis；Step 2, surveyed from the essential mineral origin cause of formation and occurrence analysis, typical well
Well tracing pattern is set out, and analyzes the influence of the Mineral pairs log of different origins type；Step 3, with reference to lithofacies well logging recognition
Pattern establishes the well logging recognition pattern plate for adapting to research object；Step 4, it would be desirable to identify the log data of lithofacies well
It is segmented and compares with recognition mode, carry out lithofacies and identify one by one.
The purpose of the present invention can be also achieved by the following technical measures：
In step 1, from the actual geologic information of research object, the type of lake basin and salinity of lake water these bases are got clear
Eigen by core observation and thin section analysis data, specifies the main Lithofacies Types of lake basin mud shale.
In step 1, according to terrestrial lake basin core observe and count, lacustrine facies mud shale by stratification construction development degree,
The content of carbonate mineral and organic matter is divided into three classes lithofacies, is respectively block, stratiform and lamellar, and bulk includes mud stone, ash
Matter mud stone, stratiform include mud stone, grey matter mud stone, and lamellar includes shale, oil shale, grey matter oil shale, calcium tablet black cat.
In step 2, the essential mineral origin cause of formation and occurrence are described below：
(1) terrigenous clastic mineral
Terrigenous clastic mineral include clay, quartz, feldspar, wherein based on clay mineral, quartz, spectra content
It is low, and polydispersion is among clay mineral；
(2) carbonate mineral
Based on calcite, secondary is dolomite, siderite, and there are two types of sources for its ingredient of comprehensive analysis：Biology and flash to
Carbonate, the carbonate of the chemical bond origin cause of formation of cause；
Biology and flash to because carbonate：From lake rim northern South China Sea class, after mechanical damage, elutriation
It floats to lake profundal zone to deposit, based on micrite recrystallization can occur under specific condition for particle, go into coarse
Particle, the origin cause of formation of this kind of carbonate is by seasonal effect, and occurrence is mainly in stratiform or lamellar integrated distribution, such as horizontal lamination
In light tone layer；
The carbonate of the chemical bond origin cause of formation：The constituents are formed for chemical precipitation or metharmosis, with cement shape
Formula exists, and is distributed in argillaceous rocks in homodisperse shape, the degree of saltiness of lake water medium has substantially the content of such carbonate mineral
Control action, lake water salinization, the carbonate content higher of the chemical bond origin cause of formation；
(3) organic matter
It is attached among argillic horizon, in layered distribution, abundance of organic matter is higher, and mud shale color is deeper.
In step 2, analyze the Mineral pairs resistivity of different origins type, interval transit time, neutron porosity, density these
The influence of log, the influence of different minerals ingredient and occurrence to log are：
(1) carbonate
Influence of the carbonate to resistivity, three porosity curve, that is, sound wave, neutron porosity and density is apparent, except mineral
Content outside, the influence that carbonate occurrence is different to be generated is also different；
Stratiform carbonate influences the high value part of resistivity, and content more high resistivity absolute value is also higher, stratiform carbonate
It is finer and close, infrasonic wave's time difference, low neutron porosity and highdensity feature are shown as on three porosity curve；
Homodisperse shape carbonate is interspersed among in clay, influences the base value part of resistivity, and content gets over high resistivity song
The base value of line is also higher, the carbonate content height of shape is uniformly dispersed in salt water lake mud shale, resistivity base value is also universal high,
Response of the even dispersed carbonate on three porosity curve is the lifting of overall amplitude, and content is high, then the sound of lithofacies totality
The ripple time difference, intermediate neutron porosity value reduce, density rise；
(2) clay and organic matter
Organic matter is attached among clay, and log is had an impact jointly with clay；
Clay particle is fine, and containing a large amount of irreducible water in micropore, the electric conductivity of clay is good, resistivity curve response for it is low-
Extremely low value, the poorly conductive of organic matter, clay is in the case of rich in organic matter, and bound water content reduces, overall electric conductivity
Difference shows as height-extremely high value；
Clay and organic matter are of a relatively loose, and praetersonic time difference, high neutron porosity, low is shown as on three porosity curve
The feature of density.
In step 3, lithofacies characteristics are with log recognition mode：
(1) block class lithofacies
Block mud stone：Open lake fresh water-brackishwater environment is formed at, color is grayish green-light grey, nearly terrigenous deposit rate
Height lacks stratification construction, and block mud stone CLAY MINERALS AND THEIR SIGNIFICANCE content is high, and the content of organic matter is low, organic carbon ＜ 2%, good conductivity, surveys
Well recognition mode is：Resistivity is low-extremely low value；Interval transit time and neutron porosity high level, density low value, profile amplitude variation
Less；
Block grey matter mud stone：It is formed at half inaccessible saline lacustrine facies environment, color light gray-grey.By coming from lake basin phytal zone
The fresh water shale particle in domain is mixed with the certain salinity grey matter colloid of lake basin deep layer, generates flocculation, is settled and is formed in lake basin, deposition
Rate is high, and organic matter is not enriched with, organic carbon ＜ 2%, and shape grey matter content height is uniformly dispersed existing in the form of cementing, affects rock
The electric conductivity of stone totality, well logging recognition pattern are：Resistivity is medium-low value；Interval transit time and neutron porosity are intermediate value, density
In-high level；Lithology average, the variation of curve height are little；
(2) stratiform class lithofacies
Stratiform mud stone：It is formed at half inaccessible fresh water-brackish water lake environment, color is ash-Dark grey, in the content of organic matter
Deng-low, organic carbon 1.5-3%, in the terrigenous clastics mineral content such as clay, quartz-high, stratification system seasonality or terrigenous clastic
Intermittence injection influences to be formed, and sedimentation rate is medium, and in stratiform, well logging recognition pattern is：Resistivity is medium-low value；During sound wave
Difference and neutron porosity are intermediate value, density is intermediate value, and curve changes little dentation in amplitude；
Stratiform grey matter mud stone：It is formed at half inaccessible salt water lake environment, color is ash-Dark grey, the content of organic matter is medium-
Low, organic carbon 2-4%, the terrigenous clastics mineral content such as clay, quartz is medium, by the terrigenous clastics such as clay layer and rich in carbonic acid
Salt deposit periodically superposition deposition is formed, and sedimentation rate is medium-low, and in stratiform or unobvious lamellar, well logging recognition pattern is：Resistance
Rate is intermediate value, and base value is higher, and it is high to represent cementing class carbonate content；Interval transit time and neutron porosity are middle low value, density is
Middle high level, curve change little dentation in amplitude；
(3) lamina class lithofacies
Lamina class lithofacies species is more, is formed at the strong reducing environment of blind lake, and lake water has temperature or salinity stratification phenomenon, glues
The terrigenous clastics mineral content such as soil, quartz is low, and sedimentation rate is slow-extremely slow, and organic matter enriches, with the enrichment degree of organic matter
Increase color and be rendered as dark-grey, brown, brown-black, the stratification development that seasonal variation deposition is formed, by it is fine, smooth,
It is continuously even rich in organic matter clay lamina and cryptocrystalline calcium carbonate lamina or phenocrystalline caliche composition layer；
Lamellar shale：Organic matter is medium, and organic carbon 2-4%, it is low that cementing class uniformly disperses shape carbonate content.Well logging
Recognition mode is：Low value in resistivity；The needle pattern that interval transit time and neutron porosity curve rise and fall in moderate range height, generation
The frequent alternating layers of the terrigenous clastics such as table clay lamina and carbonate lamina；
Lamillar shale：Organic matter enriches, and organic carbon 4-6%, it is low that cementing class uniformly disperses shape carbonate content.It surveys
Well recognition mode is：Resistivity high level, matrix are low；Interval transit time and neutron porosity curve rise and fall in middle high-amplitude needle pattern,
Represent the seasonal stratification development of rich organic matter clay lamina and carbonate lamina；
Lamellar grey matter oil shale：Organic matter enriches, and organic carbon 4-6%, the laminated structure of shale is apparent, and cementing class uniformly disperses shape carbon
Phosphate content is high.Well logging recognition pattern is：Resistivity high level, base value are higher；Interval transit time and neutron porosity curve are in medium
Amplitude dentation, it is poor to reduce profile amplitude for cementing class carbonate content height in clay lamina.
Lamellar calcium tablet black cat：Organic matter is extremely abundant, and organic carbon 4-17%, black cat layer texture is superfine micro-, meat
Eye is not easy to differentiate, also known as greasy filth rock, and intermediate intermediate plate shape calcium carbonate layer is formed for cryptocrystalline carbonate rock recrystallization.Well logging
Recognition mode is more special, is：Resistivity height-extremely high value, base value can be high or low, and represent cementing class carbonate content from low to high all
Have, interval transit time and neutron porosity curve are presented significantly needle pattern and rise and fall characterized by there is extremely high value, and high level represents
Clay lamina, that is, black cat rich in organic matter, low value represent caliche i.e. calcium tablet.
In step 4, it would be desirable to identify that the log data of lithofacies well is compared with recognition mode segmentation, carry out lithofacies by
One identification：Low-resistivity value is bulk, and medium resistance rate value is stratiform, and high resistivity value is lamellar, occasionally there is high electricity
Resistance rate, the grey rock stratum of infrasonic wave's time difference are sandwiched in mud shale, but are easily distinguished；Resistivity base value is high, then reflects cementing class carbonic acid
Salt content is high, can recognize that as containing grey matter；The needle pattern acute variation of three porosity curve is the reflection of lamina.
The lacustrine facies mud shale lithofacies Logging Identification Method based on genetic analysis in the present invention, is related to continental sedimentary basin phase
Theoretic knowledge, technology application and oil-gas field geology Exploration Domain are closed, can be that the exploration of Continental Petroliferous Basins shale oil gas is commented
Valency provides a set of simple and effective Lithofacies Identification method.Mud shale lithofacies include the weight such as reservoir physical, compressibility, oil-gas possibility
Evaluation index is wanted, the evaluation index difference of different type mud shale lithofacies is big, can be to shale oil pneumatic drill prospect pit using this method
Lithofacies Identification and evaluation are carried out, studies the distribution rule of favourable lithofacies, the exploration deployment for shale oil gas provides foundation.This
The lacustrine facies mud shale lithofacies Logging Identification Method based on genetic analysis in invention, changes in the past to mud shale with single lithology
It for the Logging Identification Method of unit, is identified using form of logs combination, this method payes attention to the opposite change of log
Change, the absolute value of log only does the reference of Lithofacies Identification.Also, the occurrence that origin cause of formation method of identification highlights mineral is bent to well logging
The influence of line morphology, carbonate mineral forms stratiform and two kinds of homodisperse (cement form) there are two types of the origin cause of formation in mud shale
Occurrence, log are also completely different to the response of the hydrochlorate mineral of two kinds of occurrence.The invention is identified by establishing log
Pattern carries out Lithofacies Identification to probing well, and method is easy to operate, and the exploration suitable for terrestrial lake basin shale oil gas is studied and production
It maps out the work.This method is mainly formed in the exploration knowledge of Jiyang depression oil shale, to mud in other CONTINENTAL FACIES IN lake basins
The Lithofacies Identification of shale also has certain reference and adaptability.The lithofacies of terrestrial lake basin mud shale are known using this method
Not, it can reach and evaluation of classification is carried out to the lithofacies of mud shale, find out the purpose that favourable lithofacies development area carries out exploration deployment.
Description of the drawings
Fig. 1 is a specific embodiment of the lacustrine facies mud shale lithofacies Logging Identification Method based on genetic analysis of the present invention
Flow chart；
Fig. 2 is carbonate mineral source and occurrence schematic diagram in lacustrine facies mud shale in the specific embodiment of the present invention；
Fig. 3 is block mud stone well logging recognition ideograph in a specific embodiment of the invention；
Fig. 4 is block grey matter mud stone well logging recognition ideograph in a specific embodiment of the invention；
Fig. 5 is the specific embodiment laminate mud stone well logging recognition ideograph of the present invention；
Fig. 6 is the specific embodiment laminate grey matter mud stone well logging recognition ideograph of the present invention；
Fig. 7 is lamellar shale well logging recognition ideograph in a specific embodiment of the invention；
Fig. 8 is lamillar shale well logging recognition ideograph in a specific embodiment of the invention；
Fig. 9 is lamellar grey matter oil shale well logging recognition ideograph in a specific embodiment of the invention；
Figure 10 is lamellar calcium tablet black cat well logging recognition ideograph in a specific embodiment of the invention.
Specific embodiment
For enable the present invention above and other objects, features and advantages be clearer and more comprehensible, it is cited below particularly go out preferable implementation
Example, and coordinate shown in attached drawing, it is described in detail below.
As shown in Figure 1, Fig. 1 is the flow of the lacustrine facies mud shale lithofacies Logging Identification Method based on genetic analysis of the present invention
Figure.
Step 101, from the actual geologic information of research object, it is substantially special that type and salinity of lake water of lake basin etc. are got clear
Sign by core observation and thin section analysis data, specifies the main Lithofacies Types of lake basin mud shale.
It is observed and counted according to terrestrial lake basin core, development degree, carbonate mineral of the lacustrine facies mud shale by stratification construction
And content of organic matter etc. can be divided into three classes lithofacies, be respectively block (including mud stone, grey matter mud stone), stratiform (including mud stone, ash
Matter mud stone), lamellar (including shale, oil shale, grey matter oil shale, calcium tablet black cat etc.).The main mine of different Lithofacies Types
Object content and occurrence, abundance of organic matter have bigger difference, and main Lithofacies Types, title are shown in Table 1.
The main Lithofacies Types table of 1 lacustrine facies mud shale of table
Listed carbonate total amount is the statistics of Jiyang depression in table 1, and other areas can be adjusted according to local characteristic,
The carbonate total amount of each Lithofacies Types of Jiyang depression mud shale is frequently more than 50%, and usual mud shale carbonate content is more than 50%
That is transition is limestone class, but the in fact, grey matter content measured value of the argillaceous rocks such as prospect pit well logging central gray shale, grey matter oil shale
Mostly in 50%-70%.Trace it to its cause is that there are two types of the origin cause of formation, laminates, the source in a manner of mechanical handing for carbonate mineral
Carbonate rock particle can be attributed to shale ingredient and participate in name, as terrigenous clastic particle is then named less than 4 μm as argillaceous rocks,
It is the same for the reason of sandstone without naming.
Step 102, from the essential mineral origin cause of formation and occurrence analysis, typical borehole logging tool tracing pattern, different origins are analyzed
The influence of the logs such as the Mineral pairs resistivity of type, interval transit time, neutron porosity, density.
In one embodiment, the mud shale essential mineral origin cause of formation and occurrence analysis are carried out.Mud shale is that mechanical deposit point is different
Most thin product, 4 μm of granularity ＜, ingredient include terrigenous clastic mineral, carbonate mineral and organic matter etc..The essential mineral origin cause of formation and
Occurrence is described below.
(1) terrigenous clastic mineral
Terrigenous clastic mineral include clay, quartz, feldspar etc., wherein based on clay mineral, quartz, spectra content
It is low, and polydispersion is among clay mineral.
(2) carbonate mineral
It is secondary for dolomite, siderite based on calcite.There are mainly two types of sources for its ingredient of comprehensive analysis：Biology and steaming
Send out carbonate, the carbonate (Fig. 2) of the chemical bond origin cause of formation of the origin cause of formation.
Biology and flash to because carbonate：From lake rim northern South China Sea class, after mechanical damage, elutriation
Lake profundal zone is floated to deposit.Based on micrite recrystallization can occur under specific condition for particle, go into coarse
Particle.The origin cause of formation of this kind of carbonate is by seasonal effect, and occurrence is mainly in stratiform or lamellar integrated distribution, such as horizontal lamination
In light tone layer (shown in Fig. 2).
The carbonate of the chemical bond origin cause of formation：The constituents are formed for chemical precipitation or metharmosis, with cement shape
Formula exists, and is distributed in argillaceous rocks in homodisperse shape.The degree of saltiness of lake water medium has substantially the content of such carbonate mineral
Control action, lake water salinization, the carbonate content higher of the chemical bond origin cause of formation.
(3) organic matter
It is mainly attached among argillic horizon, in layered distribution.Abundance of organic matter is higher, and mud shale color is deeper, such as dark-grey,
Grey brown, dark brown.
The influence of different minerals ingredient and occurrence to log is：
(1) carbonate
Influence of the carbonate to resistivity, three porosity curve (sound wave, neutron porosity and density) is apparent, except mineral
Content outside, the influence that carbonate occurrence is different to be generated is also different.
Stratiform carbonate influences the high value part of resistivity, and content more high resistivity absolute value is also higher；Stratiform carbonate
It is finer and close, infrasonic wave's time difference, low neutron porosity and highdensity feature are shown as on three porosity curve.
Homodisperse shape carbonate is interspersed among in other mineral such as clay, influences the base value part of resistivity, content is got over
The base value of high resistivity curve is also higher.Generally, it is high that the carbonate content of shape is uniformly dispersed in salt water lake mud shale, resistivity
Base value is also universal high；Homodisperse response of the shape carbonate on three porosity curve is the lifting of overall amplitude, and content is high,
Then the interval transit time of lithofacies totality, intermediate neutron porosity value reduce, density rise.
(2) clay and organic matter
Organic matter is generally attached among clay, and log is had an impact jointly with clay.
Clay particle is fine, and containing a large amount of irreducible water in micropore, the electric conductivity of clay is good under normal circumstances, resistivity curve
It responds as low-extremely low value；The poorly conductive of organic matter, in the case of rich in organic matter, bound water content reduces clay, overall
Poorly conductive, show as height-extremely high value.
Clay and organic matter are of a relatively loose, and praetersonic time difference, high neutron porosity, low is shown as on three porosity curve
The feature of density.
Step 103, with reference to lithofacies well logging recognition pattern, the well logging recognition pattern plate for adapting to research object is established.
Lithofacies characteristics are with log recognition mode：
(1) block class lithofacies
Block mud stone：Open lake fresh water-brackishwater environment is generally formed in, color is grayish green-light grey, nearly terrigenous deposit speed
Rate is high, lacks stratification construction.Block mud stone CLAY MINERALS AND THEIR SIGNIFICANCE content is high, and the content of organic matter is low (the general ＜ 2% of organic carbon), therefore
Good conductivity.Well logging recognition pattern is as shown in Figure 3：Resistivity is low-extremely low value；It is interval transit time and neutron porosity high level, close
Low value is spent, profile amplitude variation is little.
Block grey matter mud stone：It is generally formed in half inaccessible saline lacustrine facies environment, color light gray-grey.It is shallow by coming from lake basin
The fresh water shale particle of aqua region is mixed with the certain salinity grey matter colloid of lake basin deep layer, generates flocculation, is settled and is formed in lake basin.
Sedimentation rate is high, and organic matter is not enriched with (the general ＜ 2% of organic carbon), and shape grey matter content is uniformly dispersed existing in the form of cementing
Height affects the electric conductivity of rock totality.Well logging recognition pattern is as shown in Figure 4：Resistivity is medium-low value；Interval transit time is in
Sub-aperture porosity for intermediate value, in density-high level；Lithology average, the variation of curve height are little.
(2) stratiform class lithofacies
Stratiform mud stone：It is formed at half inaccessible fresh water-brackish water lake environment, color is ash-Dark grey, in the content of organic matter
Deng-low (organic carbon 1.5-3%), in the terrigenous clastics mineral content such as clay, quartz-high, stratification system is seasonal or Lu Yuan is broken
The intermittent injection of bits influences to be formed, and sedimentation rate is medium, in stratiform.Well logging recognition pattern is as shown in Figure 5：Resistivity is medium-low
Value；Interval transit time and neutron porosity are intermediate value, density is intermediate value, and curve changes little dentation in amplitude.
Stratiform grey matter mud stone：Half inaccessible salt water lake environment is formed at, color is ash-Dark grey, and the content of organic matter is medium-low
The terrigenous clastics such as (organic carbon 2-4%), clay, quartz mineral content is medium.By the terrigenous clastics such as clay layer and rich in carbonic acid
Salt deposit periodically superposition deposition is formed, and sedimentation rate is medium-low, in stratiform or unobvious lamellar.Well logging recognition pattern such as Fig. 6 institutes
Show：Resistivity is intermediate value, and base value is higher, and it is high to represent cementing class carbonate content；Interval transit time and neutron porosity be middle low value,
Density is middle high level, and curve changes little dentation in amplitude.
(3) lamina class lithofacies
Lamina class lithofacies species is more, is mainly formed in the strong reducing environment of blind lake, and lake water has temperature or salinity stratification phenomenon,
The terrigenous clastics mineral content such as clay, quartz is low, and sedimentation rate is slow-extremely slow, and organic matter enriches, with the enrichment journey of organic matter
Degree increases color and is rendered as dark-grey, brown, brown-black.The stratification development that seasonal variation deposition is formed, by fine, flat
It is whole, continuously even rich in organic matter clay lamina and cryptocrystalline calcium carbonate lamina (or phenocrystalline caliche) composition layer.
Lamellar shale：Organic matter is medium (organic carbon 2-4%), and it is low that cementing class uniformly disperses shape carbonate content.It surveys
Well recognition mode is as shown in Figure 7：Low value in resistivity；What interval transit time and neutron porosity curve rose and fell in moderate range height
Needle pattern represents the frequent alternating layers of the terrigenous clastics such as clay lamina and carbonate lamina.
Lamillar shale：Organic matter enriches (4-6%), and it is low that cementing class uniformly disperses shape carbonate content.Well logging recognition
Pattern is as shown in Figure 8：Resistivity high level, matrix are low；Interval transit time and neutron porosity curve rise and fall in middle high-amplitude needle pattern,
Represent the seasonal stratification development of rich organic matter clay lamina and carbonate lamina.
Lamellar grey matter oil shale：Organic matter enriches (4-6%), and the laminated structure of shale is apparent, and cementing class uniformly disperses shape carbonate and contains
Amount is high.Well logging recognition pattern is as shown in Figure 9：Resistivity high level, base value are higher；Interval transit time and neutron porosity curve are in medium
Amplitude dentation, it is poor to reduce profile amplitude for cementing class carbonate content height in clay lamina.
Lamellar calcium tablet black cat：Organic matter is extremely abundant (4-17%), and black cat layer texture is superfine micro-, is visually not easy point
It distinguishes, also known as greasy filth rock, intermediate intermediate plate shape calcium carbonate layer is formed for cryptocrystalline carbonate rock recrystallization.Well logging recognition pattern
Relatively especially, as shown in Figure 10：Resistivity height-extremely high value, base value can be high or low, and represent cementing class carbonate content from low to high all
Have；Interval transit time and neutron porosity curve are presented significantly needle pattern and rise and fall characterized by there is extremely high value, and high level represents
Clay lamina (i.e. black cat) rich in organic matter, low value represent caliche (i.e. calcium tablet).
Step 104, it would be desirable to which the log data and recognition mode segmentation for identifying lithofacies well compare, and carry out lithofacies one by one
Identification：General low-resistivity value is bulk, and medium resistance rate value is stratiform, and high resistivity value is lamellar, occasionally there is height
Resistivity, the grey rock stratum of infrasonic wave's time difference are sandwiched in mud shale, but are easily distinguished；Resistivity base value is high, then reflects cementing class carbon
Phosphate content is high, can recognize that as containing grey matter；The reflection of the needle pattern acute variation of three porosity curve, generally lamina.
The lacustrine facies mud shale lithofacies Logging Identification Method based on genetic analysis in the present invention, for the first time by the origin cause of formation by mud shale
Middle carbonate mineral divides into two kinds of occurrence, is respectively layered distribution and the distribution of homodisperse shape, it is indicated that the carbonic acid of two kinds of occurrence
Salt mineral have visibly different two kinds of responses on log, thus cannot distinguish lithofacies with the absolute value of log,
Propose it is a kind of it is easy to operate, can oil field prospecting research in widely applied log pattern Lithofacies Identification method, be
The exploration of terrestrial lake basin shale oil gas provides new Research Thinking and technological means.
Claims (7)
1. the lacustrine facies mud shale lithofacies Logging Identification Method based on genetic analysis, which is characterized in that should the lake based on genetic analysis
Phase mud shale lithofacies Logging Identification Method includes：
Step 1, from the actual geologic information of research object, mud shale Lithofacies Types analysis is carried out；
Step 2, from the essential mineral origin cause of formation and occurrence analysis, typical borehole logging tool tracing pattern, different origins type is analyzed
The influence of Mineral pairs log；
Step 3, with reference to lithofacies well logging recognition pattern, the well logging recognition pattern plate for adapting to research object is established；
Step 4, it would be desirable to which the log data and recognition mode segmentation for identifying lithofacies well compare, and carry out lithofacies and identify one by one.
2. the lacustrine facies mud shale lithofacies Logging Identification Method according to claim 1 based on genetic analysis, which is characterized in that
In step 1, from the actual geologic information of research object, the type of lake basin and salinity of lake water these essential characteristics are got clear,
By core observation and thin section analysis data, the main Lithofacies Types of lake basin mud shale are specified.
3. the lacustrine facies mud shale lithofacies Logging Identification Method according to claim 2 based on genetic analysis, which is characterized in that
In step 1, observe and count according to terrestrial lake basin core, development degree, carbonate mine of the lacustrine facies mud shale by stratification construction
The content of object and organic matter is divided into three classes lithofacies, is respectively block, stratiform and lamellar, and bulk includes mud stone, grey matter mud stone, layer
Shape includes mud stone, grey matter mud stone, and lamellar includes shale, oil shale, grey matter oil shale, calcium tablet black cat.
4. the lacustrine facies mud shale lithofacies Logging Identification Method according to claim 1 based on genetic analysis, feature exist
In in step 2, the essential mineral origin cause of formation and occurrence are described below：
（1）Terrigenous clastic mineral
Terrigenous clastic mineral include clay, quartz, feldspar, wherein based on clay mineral, quartz, spectra content are low, and
Polydispersion is among clay mineral；
（2）Carbonate mineral
Based on calcite, secondary is dolomite, siderite, and there are two types of sources for its ingredient of comprehensive analysis：Biology and flash to because
The carbonate of carbonate, the chemical bond origin cause of formation；
Biology and flash to because carbonate：From lake rim northern South China Sea class, floated after mechanical damage, elutriation
It is deposited to lake profundal zone, based on micrite recrystallization can occur under specific condition for particle, row is into coarse
Grain, the origin cause of formation of this kind of carbonate is by seasonal effect, and occurrence is mainly in stratiform or lamellar integrated distribution, in horizontal lamination
Light tone layer；
The carbonate of the chemical bond origin cause of formation：The constituents are formed for chemical precipitation or metharmosis, are deposited in the form of cement
It is being distributed in argillaceous rocks in homodisperse shape, the degree of saltiness of lake water medium has apparent control to the content of such carbonate mineral
It makes and uses, lake water salinization, the carbonate content higher of the chemical bond origin cause of formation；
（3）Organic matter
It is attached among argillic horizon, in layered distribution, abundance of organic matter is higher, and mud shale color is deeper.
5. the lacustrine facies mud shale lithofacies Logging Identification Method according to claim 1 based on genetic analysis, which is characterized in that
In step 2, the Mineral pairs resistivity of different origins type, interval transit time, neutron porosity, density these logs are analyzed
Influence, the influence of different minerals ingredient and occurrence to log is：
（1）Carbonate
Influence of the carbonate to resistivity, three porosity curve, that is, sound wave, neutron porosity and density is apparent, except containing for mineral
Amount is outer, and the influence of the different generations of carbonate occurrence is also different；
Stratiform carbonate influences the high value part of resistivity, and content more high resistivity absolute value is also higher, and stratiform carbonate relatively causes
It is close, infrasonic wave's time difference, low neutron porosity and highdensity feature are shown as on three porosity curve；
Homodisperse shape carbonate is interspersed among in clay, influences the base value part of resistivity, content gets over high resistivity curve
Base value is also higher, and the carbonate content height of shape is uniformly dispersed in salt water lake mud shale, and resistivity base value is also universal high, uniform point
Response of the bulk carbonate on three porosity curve is the lifting of overall amplitude, and content is high, then during the sound wave of lithofacies totality
Difference, intermediate neutron porosity value reduce, density rise；
（2）Clay and organic matter
Organic matter is attached among clay, and log is had an impact jointly with clay；
Clay particle is fine, and containing a large amount of irreducible water in micropore, the electric conductivity of clay is good, and resistivity curve response is low-extremely low
Value, the poorly conductive of organic matter, clay is in the case of rich in organic matter, and bound water content reduces, overall poorly conductive, table
It is now height-extremely high value；
Clay and organic matter are of a relatively loose, and the praetersonic time difference, high neutron porosity, low-density are shown as on three porosity curve
Feature.
6. the lacustrine facies mud shale lithofacies Logging Identification Method according to claim 1 based on genetic analysis, feature exist
In in step 3, lithofacies characteristics are with log recognition mode：
(1) block class lithofacies
Block mud stone：Open lake fresh water-brackishwater environment is formed at, color is grayish green-light grey, and nearly terrigenous deposit rate is high, lacks
Weary stratification construction, block mud stone CLAY MINERALS AND THEIR SIGNIFICANCE content is high, and the content of organic matter is low, organic carbon ＜ 2%, good conductivity, well logging recognition
Pattern is：Resistivity is low-extremely low value；Interval transit time and neutron porosity high level, density low value, profile amplitude variation are little；
Block grey matter mud stone：It is formed at half inaccessible saline lacustrine facies environment, color light gray-grey, by from lake basin shallow water area
Fresh water shale particle is mixed with the certain salinity grey matter colloid of lake basin deep layer, generates flocculation, is settled and is formed in lake basin, sedimentation rate
Height, organic matter are not enriched with, organic carbon ＜ 2%, and shape grey matter content height is uniformly dispersed existing in the form of cementing, it is total to affect rock
The electric conductivity of body, well logging recognition pattern are：Resistivity is medium-low value；Interval transit time and neutron porosity are intermediate value, in density-
High level；Lithology average, the variation of curve height are little；
（2）Stratiform class lithofacies
Stratiform mud stone：Half inaccessible fresh water-brackish water lake environment is formed at, color is ash-Dark grey, and the content of organic matter is medium-low,
Organic carbon is in the terrigenous clastics mineral content such as 1.5-3%, clay, quartz-it is high, stratification system is seasonal or terrigenous clastic is intermittent
Injection influences to be formed, and sedimentation rate is medium, and in stratiform, well logging recognition pattern is：Resistivity is medium-low value；Interval transit time is in
Sub-aperture porosity is intermediate value, density is intermediate value, and curve changes little dentation in amplitude；
Stratiform grey matter mud stone：Half inaccessible salt water lake environment is formed at, color is ash-Dark grey, and the content of organic matter is medium-low, has
Machine carbon is medium for the terrigenous clastics mineral content such as 2-4%, clay, quartz, by the terrigenous clastics such as clay layer and rich in carbonate horizon week
Phase property superposition deposition is formed, and sedimentation rate is medium-low, and in stratiform or unobvious lamellar, well logging recognition pattern is：During resistivity is
Value, base value is higher, and it is high to represent cementing class carbonate content；Interval transit time and neutron porosity are middle low value, density is middle high level,
Curve changes little dentation in amplitude；
（3）Lamina class lithofacies
Lamina class lithofacies species is more, is formed at the strong reducing environment of blind lake, and lake water has temperature or salinity stratification phenomenon, clay, stone
The terrigenous clastics mineral content such as English is low, and sedimentation rate is slow-extremely slow, and organic matter enriches, and increases with the enrichment degree of organic matter
Color is rendered as dark-grey, brown, brown-black, the stratification development that seasonal variation deposition is formed, by fine, smooth, continuous
It is even rich in organic matter clay lamina and cryptocrystalline calcium carbonate lamina or phenocrystalline caliche composition layer；
Lamellar shale：Organic matter is medium, organic carbon 2-4%, and it is low that cementing class uniformly disperses shape carbonate content, well logging recognition
Pattern is：Low value in resistivity；The needle pattern that interval transit time and neutron porosity curve rise and fall in moderate range height, represents viscous
The frequent alternating layers of the terrigenous clastics such as soil lamina and carbonate lamina；
Lamillar shale：Organic matter enriches, organic carbon content 4-6%, and it is low that cementing class uniformly disperses shape carbonate content, well logging
Recognition mode is：Resistivity high level, matrix are low；Interval transit time and neutron porosity curve rise and fall in middle high-amplitude needle pattern, generation
The seasonal stratification of table richness organic matter clay lamina and carbonate lamina is developed；
Lamellar grey matter oil shale：Organic matter enriches, and organic carbon content 4-6% contents, the laminated structure of shale is apparent, and cementing class uniformly disperses shape
Carbonate content is high, and well logging recognition pattern is：Resistivity high level, base value are higher；During interval transit time and neutron porosity curve are in
Etc. amplitudes dentation, it is poor to reduce profile amplitude for cementing class carbonate content height in clay lamina；
Lamellar calcium tablet black cat：Organic matter is extremely abundant, and organic carbon content 4-17%, black cat layer texture is superfine micro-, and naked eyes are not
It easily differentiates, also known as greasy filth rock, intermediate intermediate plate shape calcium carbonate layer is formed, well logging recognition for cryptocrystalline carbonate rock recrystallization
Pattern is more special, is：Resistivity height-extremely high value, base value can be high or low, and represent cementing class carbonate content has from low to high,
Interval transit time and neutron porosity curve are presented significantly needle pattern and rise and fall characterized by there is extremely high value, and high level represents richness
Clay lamina, that is, black cat containing organic matter, low value represent caliche i.e. calcium tablet.
7. the lacustrine facies mud shale lithofacies Logging Identification Method according to claim 6 based on genetic analysis, which is characterized in that
In step 4, it would be desirable to which the log data and recognition mode segmentation for identifying lithofacies well compare, and carry out lithofacies and identify one by one：
Low-resistivity value is bulk, and medium resistance rate value is stratiform, and high resistivity value is lamellar, occasionally there is high resistivity, low
The grey rock stratum of interval transit time is sandwiched in mud shale, but is easily distinguished；Resistivity base value is high, then reflects cementing class carbonate content
Height can recognize that as containing grey matter；The needle pattern acute variation of three porosity curve is the reflection of lamina.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611025247.4A CN108072916B (en) | 2016-11-16 | 2016-11-16 | Lacustrine facies mud shale lithofacies Logging Identification Method based on genetic analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611025247.4A CN108072916B (en) | 2016-11-16 | 2016-11-16 | Lacustrine facies mud shale lithofacies Logging Identification Method based on genetic analysis |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108072916A true CN108072916A (en) | 2018-05-25 |
| CN108072916B CN108072916B (en) | 2019-10-18 |
Family
ID=62160748
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611025247.4A Active CN108072916B (en) | 2016-11-16 | 2016-11-16 | Lacustrine facies mud shale lithofacies Logging Identification Method based on genetic analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108072916B (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109298449A (en) * | 2018-09-26 | 2019-02-01 | 中国石油化工股份有限公司 | A kind of method of the determining advantageous unit of terrestrial facies shale exploration activity |
| CN109447944A (en) * | 2018-09-21 | 2019-03-08 | 中国石油天然气股份有限公司 | Lithofacies identification method and system for carbonate rock |
| CN109828311A (en) * | 2019-01-24 | 2019-05-31 | 长江大学 | Limestone structure-genetic type recognition methods and equipment based on well-log information |
| CN110568150A (en) * | 2019-04-28 | 2019-12-13 | 中国石油天然气股份有限公司 | Oil shale identification method and device |
| CN111965727A (en) * | 2020-08-18 | 2020-11-20 | 中国石油化工股份有限公司 | Heterogeneous division and description method for sedimentary rock |
| CN112033866A (en) * | 2020-08-20 | 2020-12-04 | 中国地质调查局油气资源调查中心 | Shale classification method and application thereof and shale lithofacies distribution construction system |
| CN113219153A (en) * | 2021-04-23 | 2021-08-06 | 中国石油大学(华东) | Method for analyzing ancient lake salinity |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104749651A (en) * | 2013-12-26 | 2015-07-01 | 中国石油化工股份有限公司 | Method for logging and quantitative identification of shale desserts based on facies-controlled multilevel reconstruction |
| CN104914482A (en) * | 2014-03-13 | 2015-09-16 | 中国石油化工股份有限公司 | Method of quantitatively identifying complex glutenite lithofacies association types |
| CN105891905A (en) * | 2016-04-13 | 2016-08-24 | 成都创源油气技术开发有限公司 | Shale lithofacies well logging fast identification method |
-
2016
- 2016-11-16 CN CN201611025247.4A patent/CN108072916B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104749651A (en) * | 2013-12-26 | 2015-07-01 | 中国石油化工股份有限公司 | Method for logging and quantitative identification of shale desserts based on facies-controlled multilevel reconstruction |
| CN104914482A (en) * | 2014-03-13 | 2015-09-16 | 中国石油化工股份有限公司 | Method of quantitatively identifying complex glutenite lithofacies association types |
| CN105891905A (en) * | 2016-04-13 | 2016-08-24 | 成都创源油气技术开发有限公司 | Shale lithofacies well logging fast identification method |
Non-Patent Citations (1)
| Title |
|---|
| 张晋言: "泥页岩岩相测井识别及评价方法", 《石油天然气学报（江汉石油学院学报）》 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109447944A (en) * | 2018-09-21 | 2019-03-08 | 中国石油天然气股份有限公司 | Lithofacies identification method and system for carbonate rock |
| CN109447944B (en) * | 2018-09-21 | 2020-08-11 | 中国石油天然气股份有限公司 | Lithofacies identification method and system for carbonate rock |
| CN109298449A (en) * | 2018-09-26 | 2019-02-01 | 中国石油化工股份有限公司 | A kind of method of the determining advantageous unit of terrestrial facies shale exploration activity |
| CN109828311A (en) * | 2019-01-24 | 2019-05-31 | 长江大学 | Limestone structure-genetic type recognition methods and equipment based on well-log information |
| CN109828311B (en) * | 2019-01-24 | 2020-07-03 | 长江大学 | Limestone structure-cause type identification method and equipment based on logging information |
| CN110568150A (en) * | 2019-04-28 | 2019-12-13 | 中国石油天然气股份有限公司 | Oil shale identification method and device |
| CN110568150B (en) * | 2019-04-28 | 2022-03-01 | 中国石油天然气股份有限公司 | Oil shale identification method and device |
| CN111965727A (en) * | 2020-08-18 | 2020-11-20 | 中国石油化工股份有限公司 | Heterogeneous division and description method for sedimentary rock |
| CN112033866A (en) * | 2020-08-20 | 2020-12-04 | 中国地质调查局油气资源调查中心 | Shale classification method and application thereof and shale lithofacies distribution construction system |
| CN113219153A (en) * | 2021-04-23 | 2021-08-06 | 中国石油大学(华东) | Method for analyzing ancient lake salinity |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108072916B (en) | 2019-10-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108072916B (en) | Lacustrine facies mud shale lithofacies Logging Identification Method based on genetic analysis | |
| Radwan | Modeling the depositional environment of the sandstone reservoir in the Middle Miocene Sidri Member, Badri Field, Gulf of Suez Basin, Egypt: Integration of gamma-ray log patterns and petrographic characteristics of lithology | |
| Knaust | Classification of bioturbation-related reservoir quality in the Khuff Formation (Middle East): towards a genetic approach | |
| Kavoosi et al. | Depositional environments of the Kalhur Member evaporites and tectonosedimentary evolution of the Zagros fold–thrust belt during Early Miocene in south westernmost of Iran | |
| Zhao et al. | The sedimentary structure and petroleum geologic significance of the ring belt of the closed lake basin: An integrated interpretation of well and seismic data of the Kong2 Member in Cangdong Sag, Central Bohai Bay Basin, China | |
| Eltom et al. | Integration of facies architecture, ooid granulometry and morphology for prediction of reservoir quality, Lower Triassic Khuff Formation, Saudi Arabia | |
| Al-Jawad et al. | Integrated reservoir characterization and quality analysis of the carbonate rock types, case study, southern Iraq | |
| Shimer et al. | Sedimentology, stratigraphy, and reservoir properties of an unconventional, shallow, frozen petroleum reservoir in the Cretaceous Nanushuk Formation at Umiat field, North Slope, Alaska | |
| Opuwari et al. | Petrophysical core-based zonation of OW oilfield in the Bredasdorp Basin South Africa | |
| Xia et al. | Sequence architecture and depositional evolution of the late Palaeogene in southwestern slope of Lufeng Depression, Pearl River Mouth Basin: Responses to tectonic processes and base‐level changes | |
| Ahmad et al. | Depositional mechanism of fort member sandstone (early-late bathonian), jaisalmer formation, western rajasthan: Insights from granulometric analysis | |
| Barshep et al. | Reservoir quality and sedimentology in shallow marine sandstones: Interplay between sand accumulation and carbonate and clay minerals | |
| Sharafi et al. | Differentiate allogenic and autogenic controls on the formation of parasequences and depositional sequences of a tide‐and wave‐dominated carbonate platform (Lower Cretaceous, Kopet‐Dagh Basin, Iran) | |
| Gutierrez | Stratigraphy and petroleum potential of the upper three forks formation, North Dakota, Williston Basin, USA | |
| Bazzell | Origin of brecciated intervals and petrophysical analyses; the three forks formation, williston basin, North Dakota, USA | |
| Ogbahon et al. | Paleoecology and Depositional Environments of the Upper Cretaceous Igumale Formation, Southern Benue Trough, Nigeria | |
| Shakeri et al. | Reservoir characterization and quality controlling factors of the fahliyan formation located in southwest Iran | |
| Arief et al. | Marginal Field with Low Resistivity Pay Zone in Central Sumatra Basin: What We Can Learn | |
| Meyer | High-resolution chemostratigraphy of the Woodbine and Eagle Ford Groups, Brazos Basin, Texas | |
| Okengwu et al. | Evaluation of Facies Architecture and Depositional Environment of G-Field in the Greater Ughelli Depobelt of the Niger Delta Area, Nigeria | |
| Xie et al. | Sedimentary Characteristics and Geological Significance of a Mixed-process Delta for Petroleum Exploration in the Zhuhai Formation of the Baiyun Depression, Pearl River Mouth Basin, China | |
| Wang et al. | Quantitative Characterization of Rock Type of Pore Type Bioclastic Limestone Reservoir in Middle East | |
| Poursoltani et al. | Facies analysis and depositional sequences of a siliciclastic–carbonate deposit: the Late Paleocene–Early Eocene succession, Fariman, Central Iran | |
| Harvey | A reservoir characterization of selected Ordovician, Devonian and Mississippian dolostones from the southeast Saskatchewan portion of the Williston Basin. | |
| DAS et al. | Reservoir Sedimentology, Sequence Stratigraphy and Depositional Model of Oligocene Clastics in C-39 area, Tapti-Daman Block, Western Offshore Basin |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |