CN106970420A - It is a kind of to be mixed the method that display identification biogenic limestone is distributed with RGB - Google Patents
It is a kind of to be mixed the method that display identification biogenic limestone is distributed with RGB Download PDFInfo
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- CN106970420A CN106970420A CN201710288094.0A CN201710288094A CN106970420A CN 106970420 A CN106970420 A CN 106970420A CN 201710288094 A CN201710288094 A CN 201710288094A CN 106970420 A CN106970420 A CN 106970420A
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- 235000019738 Limestone Nutrition 0.000 title claims abstract description 91
- 239000006028 limestone Substances 0.000 title claims abstract description 90
- 230000000035 biogenic effect Effects 0.000 title claims abstract description 76
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000009826 distribution Methods 0.000 claims abstract description 41
- 238000004452 microanalysis Methods 0.000 claims abstract description 10
- 238000004458 analytical method Methods 0.000 claims description 13
- 239000000203 mixture Substances 0.000 claims description 5
- 239000011435 rock Substances 0.000 claims description 5
- 238000005266 casting Methods 0.000 claims description 4
- 238000005136 cathodoluminescence Methods 0.000 claims description 3
- 238000003860 storage Methods 0.000 claims description 2
- 239000003344 environmental pollutant Substances 0.000 abstract description 12
- 231100000719 pollutant Toxicity 0.000 abstract description 12
- 238000005553 drilling Methods 0.000 abstract description 8
- 239000003208 petroleum Substances 0.000 abstract description 3
- 239000004744 fabric Substances 0.000 description 4
- 239000003086 colorant Substances 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000015572 biosynthetic process Effects 0.000 description 2
- 239000004568 cement Substances 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000003786 synthesis reaction Methods 0.000 description 2
- 239000004215 Carbon black (E152) Substances 0.000 description 1
- 241001269238 Data Species 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 239000000853 adhesive Substances 0.000 description 1
- 230000001070 adhesive effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000003245 coal Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000005251 gamma ray Effects 0.000 description 1
- 239000003292 glue Substances 0.000 description 1
- 229930195733 hydrocarbon Natural products 0.000 description 1
- 150000002430 hydrocarbons Chemical class 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 239000011148 porous material Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000004062 sedimentation Methods 0.000 description 1
- 238000003892 spreading Methods 0.000 description 1
- 230000007480 spreading Effects 0.000 description 1
- 239000004575 stone Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
- G01V1/34—Displaying seismic recordings or visualisation of seismic data or attributes
- G01V1/345—Visualisation of seismic data or attributes, e.g. in 3D cubes
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Abstract
The invention discloses a kind of method that display identification biogenic limestone distribution is mixed with RGB, it is related to petroleum industry Geological Engineering field.Specifically, micro-analysis is carried out to the petrographic thin section of individual well reservoir first, obtain the distribution of the biogenic limestone reservoir of individual well reservoir, then according to the distribution of the log of the individual well reservoir and the biogenic limestone reservoir of individual well reservoir, set up well logging recognition template, the seismic data cube is demarcated according to the well logging recognition template, obtain the seismic data cube of the individual features with the big set biogenic limestone of identification, display data body is mixed by asking for RGB in the seismic data cube, and then come the distribution of the biogenic limestone reservoir of predicting target reservoir region.Well shake is combined by method provided in an embodiment of the present invention well, the distribution of not same period secondary pollutant limestone can be efficiently identified, overcome the problem of same period secondary pollutant limestone reservoir earthquake prediction is not inaccurate, specify the plane distribution of each phase biogenic limestone, improve drilling success.
Description
Technical field
It is more particularly to a kind of with RGB mixing display identification biogenic limestones the present invention relates to petroleum industry Geological Engineering field
The method of distribution.
Background technology
Biogenic limestone reservoir is widely distributed in China, and because its spreading depth difference is big, common seismic prediction difficulty is very big.
15-20 meters of thick big set biogenic limestone reservoirs can only be differentiated in current earthquake.Influenceed by existing seismic resolution,
For recognizing and predicting biogenic limestone, (especially same period secondary pollutant is not grey also without a kind of by current petroleum geology expert both at home and abroad
Rock) distribution effective ways, simply qualitatively come recognize and predict greatly cover biogenic limestone reservoir.And prior art is theoretically examined
The factor of worry is more, without excessive consideration actual well drilled situation, i.e. well shake is not combined well, is thus caused certain
Application limitation.Such as, the thickness for the biogenic limestone predicted using conventional method is 15-20m, but actually in drilling process
It was found that, biogenic limestone thickness is made up of the thin layer biogenic limestone and mud stone alternating layers of the 1-4 individual not same periods time, in other words, existing
There is technology to recognize the distribution of not same period secondary pollutant limestone, the plane distribution of each phase secondary pollutant limestone can not be specified.
Therefore it provides a kind of method that can recognize not same period secondary pollutant limestone distribution will be weighed very much in geological prospecting
Will.
The content of the invention
In order to preferably recognize not same period secondary pollutant limestone distribution, the present invention provides a kind of with RGB mixing display identification lifes
The method of thing limestone distribution.
Specifically, including following technical scheme:
A kind of to be mixed the method that display identification biogenic limestone is distributed with RGB, methods described includes:
Obtain the log of the seismic data cube, the petrographic thin section of individual well reservoir and individual well reservoir in target reservoir region;
Micro-analysis is carried out to the petrographic thin section, the distribution of the biogenic limestone reservoir of the individual well reservoir is obtained;
According to the distribution of the log of the individual well reservoir and the biogenic limestone reservoir of the individual well reservoir, well logging is set up
Recognition template;
The seismic data cube is demarcated according to the well logging recognition template, obtains that there is the big set biogenic limestone of identification
Individual features seismic data cube;
RGB mixing display datas are asked in the seismic data cube with the big individual features for covering biogenic limestone of identification
Body;
Display data body is mixed according to the RGB, the distribution of the biogenic limestone reservoir in the target reservoir region is predicted.
Preferably, micro-analysis is carried out to the petrographic thin section, obtains point of the biogenic limestone reservoir of the individual well reservoir
Cloth includes:According to drill cores observation description mineralogical composition, content and cement type, the lithology of the individual well reservoir is differentiated,
Identify the distribution of the biogenic limestone reservoir of the individual well reservoir.
Preferably, the means of the drill cores observation include:Petrographic thin section, casting body flake and fluorescence thin section point under mirror
Analysis;Scanning electron microscope analysis and cathodoluminescence analysis.
Preferably, the log includes compensation sound wave curve and compensation density curve.
Preferably, it is described that the seismic data cube is demarcated according to the well logging recognition template, obtain that there is identification
The seismic data cube of the individual features of big set biogenic limestone includes:
After the well logging recognition template is loaded into the seismic data cube, explain described in the seismic data cube
The top bottom interface of the biogenic limestone reservoir in target reservoir region.
Further, the top of the biogenic limestone reservoir that the target reservoir region is demarcated in the seismic data cube
Bottom interface includes:
Peak reflection on the seismic data cube is demarcated as zero on the top interface of biogenic limestone, the seismic data cube
Phase or trough reflection are demarcated as the bottom interface of biogenic limestone.
Preferably, it is described to ask for RGB in the seismic data cube with the big individual features for covering biogenic limestone of identification
Mixing display data body includes:To the seismic data cubes of the individual features with the big set biogenic limestone of identification by low-frequency range,
Mid Frequency and high band carry out frequency dividing and shown, then the frequency range that frequency dividing is obtained is shown with RGB mode mixtures.
Preferably, it is described that display data body is mixed according to the RGB, predict the biogenic limestone storage in the target reservoir region
The distribution of layer includes:With Seismic Sedimentology principle, strata slicing is carried out to RGB mixing data volumes.
The beneficial effect of technical scheme provided in an embodiment of the present invention:It is biological with RGB mixing display identifications there is provided one kind
The method of limestone distribution.Specifically, micro-analysis is carried out to the petrographic thin section of individual well reservoir first, obtains the biology of individual well reservoir
The distribution of limestone reservoir, then according to the distribution of the log of the individual well reservoir and the biogenic limestone reservoir of individual well reservoir,
Well logging recognition template is set up, the seismic data cube is demarcated according to the well logging recognition template, obtains having identification big
The seismic data cube of the individual features of biogenic limestone is covered, display data body is mixed by asking for RGB in the seismic data cube, enters
And analysis in machine and transverse direction to target reservoir region respectively, come point of the biogenic limestone reservoir of predicting target reservoir region
Cloth.Well shake is combined by method provided in an embodiment of the present invention well, can efficiently identify point of not same period secondary pollutant limestone
Cloth, overcomes the problem of same period secondary pollutant limestone reservoir earthquake prediction is not inaccurate, specifies the plane distribution of each phase biogenic limestone, improves
Drilling success.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, makes required in being described below to embodiment
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for
For those of ordinary skill in the art, on the premise of not paying creative work, other can also be obtained according to these accompanying drawings
Accompanying drawing.
Fig. 1 is a kind of method that display identification biogenic limestone distribution is mixed with RGB provided in an embodiment of the present invention.
Embodiment
To make technical scheme and advantage clearer, below in conjunction with accompanying drawing embodiment of the present invention is made into
One step it is described in detail.Unless otherwise defined, all technical terms used in the embodiment of the present invention are respectively provided with and art technology
The identical implication that personnel are generally understood that.
The present invention provides a kind of method for being mixed with RGB and showing that identification biogenic limestone is distributed, and referring to Fig. 1, this method includes
Following steps:
Step 101:Obtain the survey of the seismic data cube, the petrographic thin section of individual well reservoir and individual well reservoir in target reservoir region
Well curve;
Specifically, for the seismic data cube in target reservoir region, it can be blown out by field, receiver receives to obtain ground
Data are shaken, the heart carries out the processing of geological data with computer in processes, obtain corresponding seismic data cube, recycled and explain soft
Part obtains seismic interpretation, and seismic interpretation is the process for treated seismic data cube being become Geological Achievements, including uses ripple
Dynamic theoretical and geologic knowledge, the items data such as comprehensive geology, drilling well, well logging, makes structure interpretation, stratigraphic interpretation, lithology and hydrocarbon
Class detection is explained and integrated interpretation, draws relevant achievement map, the information such as oily thus can be tentatively made to target area
Evaluation.
For the petrographic thin section of individual well reservoir, the rock core or landwaste of target reservoir section by drilling well, can be collected, passes through specialty
Analytical test is polished into petrographic thin section, obtains the petrographic thin section of individual well reservoir.
For the log of individual well reservoir, planned well is got into deeply after degree in drilling well, it is possible to use electricity, magnetic, sound, heat,
The various loggers of the physical principles such as core manufacture, by logging cable G.I.H, make ground electrical measuring instrument continuous along pit shaft
The various parameters with change in depth are recorded, the log of individual well reservoir, the log of obtained all kinds of individual well reservoirs is obtained
It can be used for the rock stratum for recognizing underground, such as oil, gas and water layer, coal seam, metalliferous deposit.Wherein, log includes compensation sound wave
Curve and compensation density curve.
Step 102:Micro-analysis is carried out to petrographic thin section, the distribution of the biogenic limestone reservoir of individual well reservoir is obtained;
Micro-analysis under mirror is carried out to individual well petrographic thin section using microscope.Can be thin by petrographic thin section, the body of casting under mirror
Piece, fluorescence thin section analysis, the obtained data such as scanning electron microscope analysis and cathodoluminescence analysis, come describe the mineral of petrographic thin section into
Point, content and cement type, differentiate lithology, structure and hole, the fractured situation of individual well reservoir, and then by not
Petrographic thin section with depth carries out micro-analysis, identifies the distribution of the biogenic limestone reservoir of individual well reservoir.Wherein, the body of casting is thin
Piece is that coloured liquid glue is injected into blowhole space under vacuum pressed, after the petrographic thin section being milled into after liquid adhesive curing,
Because blowhole is had coloring agent filling, so very eye-catching under the microscope, easily identification, be study of rocks pore size,
Distribution and geometric shape, fracture length and width, crack rate etc. provide effective way.
Further, micro-analysis is carried out to some individual wells that bored in target reservoir region, target reservoir area can be obtained
The biogenic limestone reservoir distribution of some individual well reservoirs in domain.It should be noted that because whole district's drilling well is very more, workload is very
Greatly, so selecting several mouthfuls of representational wells to carry out microcosmic point respectively under construction and sedimentation setting that also can be different from target area
Analysis.
Step 103:According to the distribution of the log of the individual well reservoir and the biogenic limestone reservoir of the individual well reservoir,
Set up well logging recognition template;
By the log of the individual well reservoir obtained by logging method, the biogenic limestone reservoir distribution knot with individual well reservoir
Close, by way of being compared in same depth, biogenic limestone typical well log can be obtained and be characterized as:Gamma ray curve is in case
Shape low value (20-50API) and natural potential amplitude are abnormal, in addition, compensated neutron numerical value is low, compensation density numerical value is medium, compensation
Sound wave numerical value is general in 210-270 μm/s or so.In view of in upper curve, compensation density curve and compensation sound wave curve can
By synthetic seismogram and seismic data cube opening relationships, thus, both curves are chosen, by ordinate of compensation density,
Compensation sound wave is abscissa, sets up the well logging recognition template on compensation sound wave and compensation density.
Step 104:The seismic data cube is demarcated according to the well logging recognition template, obtains that there is the big set of identification
The seismic data cube of the individual features of biogenic limestone;
Well shake is carried out based on well logging recognition template and seismic data cube to combine, specifically, by well logging recognition template by closing
Into earthquake record means be loaded into seismic data cube after, the biogenic limestone of spotting reservoir area in seismic data cube
The top bottom interface of reservoir.Wherein, the peak reflection on seismic data cube is demarcated as on the top interface of biogenic limestone, seismic data cube
Zero phase or trough reflection be demarcated as the bottom interface of biogenic limestone, thus obtain the corresponding spy with the big set biogenic limestone of identification
The seismic data cube levied.
Carrying out the general flow of synthetic seismogram is:Calculated by sound wave and density log curve and obtain reflectance factor, will
Reflectance factor carries out convolution with the seismic wavelet extracted and obtains initial synthetic seismogram.According to more accurate velocity field to initial
Synthetic seismogram is corrected, then with seismic trace near well Matching and modification, complete demarcation to seismic data cube.
Step 105:RGB mixing is asked in the seismic data cube with the big individual features for covering biogenic limestone of identification
Display data body;
RGB mixing displays are typically low-frequency range, Mid Frequency and the high band energy for the frequency range non-overlapping copies for obtaining frequency dividing
Attribute volume is shown with RGB mode mixtures, forms color data body.RGB is a kind of the most frequently used color mode of industrial quarters, wherein R
Red is represented, G represents green, and B represents blueness.Red (Red), green (Green), blue (Blue) are three kinds of most basic face
Colourful color is all mixed to get by the superposition of this three primary colors in color, the Nature.
Usually, the thicker biogenic limestone reservoir of high band correspondence, the relatively thin biogenic limestone reservoir of low-frequency range correspondence, intermediate frequency
The biogenic limestone reservoir of section correspondence intermediate gauge.Due to the different biogenic limestone thickness of different frequency sections correspondence, usually, by low frequency
Section (5-30Hz), Mid Frequency (30-50Hz), high band (50-80Hz) are respectively with different color (tri- kinds of colors of R, G, B) tables
Show, the seismic data cube of the individual features with the big set biogenic limestone of identification is divided by low-frequency range, Mid Frequency and high band
Frequency is shown, and the frequency range that frequency dividing is obtained is shown with RGB mode mixtures, and at this moment each sampled point obtains a kind of synthesis color, closes
It is related in the ratio shared by the point into color and each body.If high, medium and low frequency is that (i.e. energy property value is equal for pure color at this point
For maximum), the point can be rendered as white after mixing;If low-frequency range R, Mid Frequency G are that (i.e. energy property value is most to pure color
Big value), and high band is black (energy properties value is minimum), the point is rendered as yellow after mixing.Synthesize color and three attribute
Body is related in the ratio shared by the point, thus obtains RGB mixing display data bodies.
Step 106:Display data body is mixed according to the RGB, the biogenic limestone reservoir in the target reservoir region is predicted
Distribution.
By the synthesis color of each sample point, the biogenic limestone reservoir in target reservoir region can be predicted in the vertical
Distribution;Further, with Seismic Sedimentology principle, strata slicing is carried out to RGB mixing data volumes, i.e., along the life demarcated
A series of aspects that equal proportion interpolation goes out between the isochronic plane of two, thing limestone top bottom are cut into slices, by observing the upper color point of section
Cloth, the planar distribution of available not same period secondary pollutant limestone shows, so by vertical and horizontal to target reservoir region
Analysis, come the distribution of the biogenic limestone reservoir of predicting target reservoir region.
Well shake is combined by method provided in an embodiment of the present invention well, can efficiently identify not same period secondary pollutant limestone
Distribution, multiple wells probing implement after, individual well prediction biogenic limestone reservoir success rate reach more than 95%, overcome the not same period
The problem of secondary pollutant limestone reservoir earthquake prediction is forbidden, the plane distribution of each phase biogenic limestone is specified, improve drilling success.
It is described above to be for only for ease of it will be understood by those skilled in the art that technical scheme, not to limit
The present invention.Within the spirit and principles of the invention, any modification, equivalent substitution and improvements made etc., should be included in this
Within the protection domain of invention.
Claims (8)
1. a kind of be mixed the method that display identification biogenic limestone is distributed with RGB, it is characterised in that methods described includes:
Obtain the log of the seismic data cube, the petrographic thin section of individual well reservoir and individual well reservoir in target reservoir region;
Micro-analysis is carried out to the petrographic thin section, the distribution of the biogenic limestone reservoir of the individual well reservoir is obtained;
According to the distribution of the log of the individual well reservoir and the biogenic limestone reservoir of the individual well reservoir, well logging recognition is set up
Template;
The seismic data cube is demarcated according to the well logging recognition template, the phase with the big set biogenic limestone of identification is obtained
Answer the seismic data cube of feature;
RGB mixing display data bodies are asked in the seismic data cube with the big individual features for covering biogenic limestone of identification;
Display data body is mixed according to the RGB, the distribution of the biogenic limestone reservoir in the target reservoir region is predicted.
2. according to the method described in claim 1, it is characterised in that micro-analysis is carried out to the petrographic thin section, obtain described
The distribution of the biogenic limestone reservoir of individual well reservoir includes:According to drill cores observation description mineralogical composition, content and cementing species
Type, differentiates the lithology of the individual well reservoir, identifies the distribution of the biogenic limestone reservoir of the individual well reservoir.
3. method according to claim 2, it is characterised in that the means of the drill cores observation include:Rock under mirror
Thin slice, casting body flake and fluorescence thin section analysis;Scanning electron microscope analysis;And cathodoluminescence analysis.
4. according to the method described in claim 1, it is characterised in that the log includes compensation sound wave curve and compensated close
Write music line.
5. according to the method described in claim 1, it is characterised in that it is described according to the well logging recognition template to the earthquake number
Demarcated according to body, obtaining the seismic data cube of the individual features with the big set biogenic limestone of identification includes:
After the well logging recognition template is loaded into the seismic data cube, the target is demarcated in the seismic data cube
The top bottom interface of the biogenic limestone reservoir of reservoir area.
6. method according to claim 5, it is characterised in that described that the target storage is demarcated in the seismic data cube
The top bottom interface of the biogenic limestone reservoir in layer region includes:
Peak reflection on the seismic data cube is demarcated as the zero phase on the top interface of biogenic limestone, the seismic data cube
Or trough reflection is demarcated as the bottom interface of biogenic limestone.
7. according to the method described in claim 1, it is characterised in that described that there is the corresponding of the big set biogenic limestone of identification described
RGB mixing display data bodies are asked in the seismic data cube of feature to be included:There is the corresponding of the big set biogenic limestone of identification to described
The seismic data cube of feature carries out frequency dividing by low-frequency range, Mid Frequency and high band and shown, then will divide obtained frequency range with RGB moulds
Formula mixed display.
8. according to the method described in claim 1, it is characterised in that described that display data body is mixed according to the RGB, predict institute
Stating the distribution of the biogenic limestone reservoir in target reservoir region includes:With Seismic Sedimentology principle, RGB mixing data volumes are carried out
Strata slicing.
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101881153A (en) * | 2010-06-04 | 2010-11-10 | 中国石油天然气股份有限公司 | Conventional logging information fusion visualization method and system thereof |
WO2015150728A1 (en) * | 2014-03-31 | 2015-10-08 | Foster Findlay Associates Limited | Improved interpretation of seismic survey data using synthetic modelling |
WO2016124878A1 (en) * | 2015-02-06 | 2016-08-11 | Foster Findlay Associates Limited | A method for determining sedimentary facies using 3d seismic data |
-
2017
- 2017-04-27 CN CN201710288094.0A patent/CN106970420B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101881153A (en) * | 2010-06-04 | 2010-11-10 | 中国石油天然气股份有限公司 | Conventional logging information fusion visualization method and system thereof |
WO2015150728A1 (en) * | 2014-03-31 | 2015-10-08 | Foster Findlay Associates Limited | Improved interpretation of seismic survey data using synthetic modelling |
WO2016124878A1 (en) * | 2015-02-06 | 2016-08-11 | Foster Findlay Associates Limited | A method for determining sedimentary facies using 3d seismic data |
Non-Patent Citations (3)
Title |
---|
张永华 等: "井约束反演技术在白云岩缝洞型储集层预测中的应用", 《新疆石油地质》 * |
曹鉴华 等: "RGB混频显示技术及其在河道识别中的应用", 《勘探地球物理进展》 * |
陈俊 等: "基于RGB-IHS变换的地震属性融合方法", 《石油天然气学报(江汉石油学院学报)》 * |
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