CN106777514A - A kind of oil-sand is every interlayer quantitative classification recognition methods - Google Patents
A kind of oil-sand is every interlayer quantitative classification recognition methods Download PDFInfo
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Abstract
The present invention relates to a kind of oil-sand every interlayer quantitative classification recognition methods, comprise the following steps：1) by core hole every interlayer be divided into I class every interlayer, II class every interlayer and III class every interlayer；2) based on step 1) core hole every the classification situation of interlayer, all kinds of core holes are sampled every interlayer, measure each log value of the classification every the corresponding core hole sample of interlayer in affiliated depth segment；3) the gamma ray log value and density curve log value to different type every interlayer draw frequency distribution histogram respectively, take from the characteristic value corresponding to gemma ray logging value, take the characteristic value corresponding to density curve log value；4) an XOY coordinate systems are set up, X-coordinate is gamma ray curve characteristic value, and Y-coordinate is density curve characteristic value, forms oil-sand and recognizes plate every interlayer quantitative classification；5) according to step 4) gained oil-sand every interlayer quantitative classification identification plate judge non-core hole every sandwich type.
Description
Technical field
The present invention relates to a kind of recognition methods, more particularly to a kind of oil-sand is every interlayer quantitative classification recognition methods.
Background technology
Oil-sand is the sticky mixture of sand, water, pitch and clay composition, with high viscosity, high density, hydrocarbon bit high
Point, is one of important unconventional resource.The characteristics of for oil-sand, often opened using SAGD method
Adopt, and be the crucial geologic(al) factor of influence oil-sand exploitation effect every interlayer, Classification and Identification is carried out to it for oil-sand development
With important directive significance.
Oil-sand refers to the stratum based on mud stone every interlayer.Forefathers mainly by appearing, rock core and Image Logging Data,
The geology experiences of binding personnel carry out qualitative recognition every interlayer, and this method cost is high, and to researcher's geology
Skill requirement is high, it is impossible to carry out quantitative judge every interlayer to non-core hole, and operating process is difficult to standardize, as a result uncertain
By force, it is unfavorable for efficient, the high_speed development of oil-sand.
The content of the invention
Regarding to the issue above, it is quantitative every interlayer it is an object of the invention to provide one kind tool operability, standardized oil-sand
Classifying identification method.
To achieve the above object, the present invention uses following technical scheme：A kind of oil-sand every interlayer quantitative classification recognition methods,
The method is comprised the following steps：
1) by core hole every interlayer be divided into I class every interlayer, II class every interlayer and III class every interlayer；
2) based on the step 1) core hole every the classification situation of interlayer, all kinds of core holes are sampled every interlayer,
Log value of each classification of measurement every the corresponding core hole sample of interlayer in affiliated depth segment, including gamma ray log value
With density curve log value；
3) every the gamma ray log value and density curve log value of interlayer to draw frequency disribution respectively to different type straight
Fang Tu, it is gamma ray log to take from the gamma ray log value corresponding to the peak value of gemma ray logging value frequency distribution histogram
The characteristic value of value, to take and take density curve log value for density corresponding to the peak value of density curve log value frequency distribution histogram
The characteristic value of curve log value；
4) an XOY coordinate systems are set up, X-coordinate is gamma ray curve characteristic value, and Y-coordinate is density curve characteristic value, will
The step 3) in gained it is all kinds of in the features of logging curve value of interlayer projects to coordinate system, three classes are every interlayer not isolabeling
Sign flag, according to making same shape mark point fall in principle of the same area more than 90%, not same district is divided into by coordinate system
Domain, each region represents distribution of the different type every interlayer features of logging curve value respectively, forms oil-sand and quantitatively divides every interlayer
Class recognizes plate；
5) for the judgement every interlayer of non-core hole, log of the non-core hole every depth segment corresponding to interlayer is first surveyed
Value, including gamma ray log value and density curve log value；Do gamma ray log value and density curve log value respectively again
Frequency distribution histogram, the characteristic value of gamma ray log value and the characteristic value of density curve log value are obtained, according to gained
Characteristic value falls in the step 4) gained oil-sand every interlayer quantitative classification recognize plate region, obtain non-core hole every interlayer institute
Category type.
In the step 3) in, when drawing the frequency distribution histogram of gamma ray log value, X-axis represents natural gamma survey
Well value, maximum is taken as the step 2) obtained by gamma ray log value maximum, minimum value taken by the step 2)
The minimum value of gained gamma ray log value, away from being 0.8API, Y-axis represents frequency to group；Draw the frequency of density curve log value
During distribution histogram, X-axis represents density curve log value, maximum is taken as the step 2) obtained by density curve side well value
Maximum, minimum value is taken as the step 2) obtained by density curve log value minimum value, group is away from being 0.0072g/cm3；Y-axis
Represent frequency.
Due to taking above technical scheme, it has advantages below to the present invention：1st, the present invention by by rock core every interlayer
Features of logging curve value is projected in XOY coordinate systems, is formed oil-sand and is recognized plate every interlayer quantitative classification, to standardize diagram side
Formula instructs developer to carry out identification work of the oil-sand every interlayer, method simple and fast, even if abundant areal geology does not grind
Study carefully the personnel of experience also can left-hand seat at once, the influence of " research experience " is minimized.2nd, the present invention based on a small amount of rock core and
Log sets up oil-sand and recognizes plate every interlayer so that oil-sand is quantified every interlayer identification, and method is specifically easy, reduces people
It is factor, as a result accurately and reliably.
Brief description of the drawings
Fig. 1 is that oil-sand of the invention recognizes plate every interlayer quantitative classification.
Specific embodiment
The present invention is described in detail with reference to the accompanying drawings and examples.
The present invention proposes a kind of oil-sand every interlayer quantitative classification recognition methods, and it is comprised the following steps：
1) by core hole every interlayer be divided into I class every interlayer, II class every interlayer and III class every interlayer.
Because the sorting technique every interlayer is prior art, assorting process is not discussed here, only by three classes every interlayer
Feature is done simply to introduce：Every interlayer, its lithology is mud stone to I class, and ater has slight crack more, and thickness is more than 4 meters, main distribution
In meander river course；Every interlayer, lithology is the combination frequently staggeredly of mud stone, sandstone, mostly brown to II class, and thickness is less than 4 meters,
Edge of the major developmental in meandering stream；Every interlayer, lithology is the mud stone containing gravel composition to III class, and thickness is less than 4 meters, main point
Cloth is in the bottom of meandering stream.
2) based on step 1) core hole every the classification situation of interlayer, all kinds of core holes are sampled every interlayer, measure
The log value respectively classified every the corresponding core hole sample of interlayer in affiliated depth segment, including gamma ray log value and close
Write music line log value.For convenience of counting, measurement result can be inserted into following table：
The core hole of table 1 is every interlayer log value
3) every the gamma ray log value and density curve log value of interlayer to draw frequency disribution respectively to different type straight
Fang Tu, it is gamma ray log to take from the gamma ray log value corresponding to the peak value of gemma ray logging value frequency distribution histogram
The characteristic value of value, to take and take density curve log value for density corresponding to the peak value of density curve log value frequency distribution histogram
The characteristic value of curve log value.
When drawing the frequency distribution histogram of gamma ray log value, X-axis represents gamma ray log value, and maximum takes logical
Cross step 2) maximum of gained gamma ray log value, minimum value taken as step 2) obtained by gamma ray log value minimum
Value, away from being 0.8API, Y-axis represents frequency to group.When drawing the frequency distribution histogram of density curve log value, X-axis represents density
Curve log value, maximum is taken as step 2) obtained by density curve side well value maximum, minimum value taken by step 2) institute
Density curve log value minimum value, group is away from being 0.0072g/cm3；Y-axis represents frequency.For convenience of counting, can be by feature
Value result is inserted into following table：
Features of logging curve Value Data table of the rock core of table 2 every interlayer
| Sample number into spectrum | Every sandwich type | Gamma ray curve characteristic value | Density curve characteristic value |
| 1 | I class | 109.4 | 2.174 |
| 2 | II class | 73.3 | 2.210 |
| 3 | II class | 89.9 | 2.262 |
| 4 | II class | 84.6 | 2.234 |
| 5 | II class | 91.1 | 2.228 |
| 6 | III class | 69.4 | 2.181 |
| … | … | … | … |
4) as shown in figure 1, setting up an XOY coordinate systems, X-coordinate is gamma ray curve characteristic value, and Y-coordinate is density curve
Characteristic value, by step 3) in gained it is all kinds of in the features of logging curve value of interlayer projects to coordinate system, three classes are every interlayer with not
Isolabeling sign flag, according to making same shape mark point fall in principle of the same area more than 90%, coordinate system is divided into
Different zones, each region represents distribution of the different type every interlayer features of logging curve value respectively, forms oil-sand every interlayer
Quantitative classification recognizes plate.
5) for the judgement every interlayer of non-core hole, log of the non-core hole every depth segment corresponding to interlayer is first surveyed
Value, including gamma ray log value and density curve log value；Do gamma ray log value and density curve log value respectively again
Frequency distribution histogram, the characteristic value of gamma ray log value and the characteristic value of density curve log value are obtained, according to gained
Characteristic value falls in step 4) gained oil-sand every interlayer quantitative classification recognize plate region, obtain non-core hole every the affiliated class of interlayer
Type, subordinate list 3 is quantitative classification recognition result of the different non-core holes every interlayer in a certain specific implementation.
Quantitative classification recognition result of the non-core hole of table 3 every interlayer
| Non- core hole pound sign | Every sandwich type | Top depth value (m) | Bottom depth value (m) |
| A | I class | 261.1 | 261.5 |
| A | II class | 261.5 | 263.1 |
| A | III class | 263.1 | 263.2 |
| A | III class | 264.1 | 264.5 |
| A | II class | 264.5 | 265.3 |
| A | III class | 265.3 | 265.5 |
| A | III class | 265.9 | 266 |
| A | II class | 266 | 266.2 |
| … | … | … | … |
The present invention is only illustrated with above-described embodiment, and the structure of each part, set location and its connection all can be have
Changed.On the basis of technical solution of the present invention, all improvement carried out to individual part according to the principle of the invention or equivalent
Conversion, should not exclude outside protection scope of the present invention.
Claims (2)
1. every interlayer quantitative classification recognition methods, the method is comprised the following steps a kind of oil-sand：
1) by core hole every interlayer be divided into I class every interlayer, II class every interlayer and III class every interlayer；
2) based on the step 1) core hole every the classification situation of interlayer, all kinds of core holes are sampled every interlayer, measure
The log value respectively classified every the corresponding core hole sample of interlayer in affiliated depth segment, including gamma ray log value and close
Write music line log value；
3) the gamma ray log value and density curve log value to different type every interlayer draw frequency distribution histogram respectively,
It is gamma ray log value to take from the gamma ray log value corresponding to the peak value of gemma ray logging value frequency distribution histogram
Characteristic value, to take and take density curve log value for density curve corresponding to the peak value of density curve log value frequency distribution histogram
The characteristic value of log value；
4) an XOY coordinate systems are set up, X-coordinate is gamma ray curve characteristic value, and Y-coordinate is density curve characteristic value, will be described
Step 3) in gained it is all kinds of in the features of logging curve value of interlayer projects to coordinate system, three classes are every the different label symbols of interlayer
Mark, according to making same shape mark point fall in principle of the same area more than 90%, is divided into different zones, respectively by coordinate system
Region represents distribution of the different type every interlayer features of logging curve value respectively, forms oil-sand and is recognized every interlayer quantitative classification
Plate；
5) for the judgement every interlayer of non-core hole, log value of the non-core hole every depth segment corresponding to interlayer is first surveyed,
Including gamma ray log value and density curve log value；Do the frequency of gamma ray log value and density curve log value respectively again
Number distribution histogram, obtains the characteristic value of gamma ray log value and the characteristic value of density curve log value, according to gained feature
Value falls in the step 4) gained oil-sand every interlayer quantitative classification recognize plate region, obtain non-core hole every the affiliated class of interlayer
Type.
2. a kind of oil-sand as claimed in claim 1 is every interlayer quantitative classification recognition methods, it is characterised in that：In the step 3)
In, when drawing the frequency distribution histogram of gamma ray log value, X-axis represents gamma ray log value, and maximum is taken by institute
State step 2) maximum of gained gamma ray log value, minimum value taken as the step 2) obtained by gamma ray log value
Minimum value, away from being 0.8API, Y-axis represents frequency to group；When drawing the frequency distribution histogram of density curve log value, X-axis is represented
Density curve log value, maximum is taken as the step 2) obtained by density curve side well value maximum, minimum value takes and passes through
The step 2) gained density curve log value minimum value, group is away from being 0.0072g/cm3；Y-axis represents frequency.
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| CN107165627A (en) * | 2017-07-18 | 2017-09-15 | 中国石油大学(华东) | A kind of dam sand distribution of favorable reservoir horizon prediction method |
| CN109424359A (en) * | 2017-09-05 | 2019-03-05 | 中国石油化工股份有限公司 | Recognition methods of the horizontal well every interlayer |
| CN110208872A (en) * | 2019-06-05 | 2019-09-06 | 中国石油大港油田勘探开发研究院 | A kind of alluvial fan is every interlayer integrated recognition method |
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Application publication date: 20170531 |