CN108548765A - A kind of porosity calculation method for the soil skeleton that becomes sticky - Google Patents
A kind of porosity calculation method for the soil skeleton that becomes sticky Download PDFInfo
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- CN108548765A CN108548765A CN201810260747.9A CN201810260747A CN108548765A CN 108548765 A CN108548765 A CN 108548765A CN 201810260747 A CN201810260747 A CN 201810260747A CN 108548765 A CN108548765 A CN 108548765A
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- 238000004364 calculation method Methods 0.000 title claims abstract description 21
- 239000002689 soil Substances 0.000 title claims abstract description 17
- 239000004927 clay Substances 0.000 claims abstract description 60
- 229910052500 inorganic mineral Inorganic materials 0.000 claims abstract description 58
- 239000011707 mineral Substances 0.000 claims abstract description 58
- 239000011435 rock Substances 0.000 claims abstract description 36
- 239000011159 matrix material Substances 0.000 claims abstract description 32
- 238000002474 experimental method Methods 0.000 claims abstract description 20
- 239000000470 constituent Substances 0.000 claims abstract description 9
- 230000000704 physical effect Effects 0.000 claims abstract description 9
- 238000001228 spectrum Methods 0.000 claims abstract description 8
- 240000002989 Euphorbia neriifolia Species 0.000 claims description 19
- ZSLUVFAKFWKJRC-IGMARMGPSA-N 232Th Chemical compound [232Th] ZSLUVFAKFWKJRC-IGMARMGPSA-N 0.000 claims description 13
- ZLMJMSJWJFRBEC-UHFFFAOYSA-N Potassium Chemical compound [K] ZLMJMSJWJFRBEC-UHFFFAOYSA-N 0.000 claims description 13
- 229910052776 Thorium Inorganic materials 0.000 claims description 13
- 239000011591 potassium Substances 0.000 claims description 13
- 229910052700 potassium Inorganic materials 0.000 claims description 13
- 239000002734 clay mineral Substances 0.000 claims description 11
- 238000005259 measurement Methods 0.000 claims description 11
- 238000007619 statistical method Methods 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 210000000988 bone and bone Anatomy 0.000 claims description 2
- 238000000034 method Methods 0.000 abstract description 18
- 230000008878 coupling Effects 0.000 abstract 1
- 238000010168 coupling process Methods 0.000 abstract 1
- 238000005859 coupling reaction Methods 0.000 abstract 1
- 238000004458 analytical method Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 6
- 230000035699 permeability Effects 0.000 description 4
- 238000005481 NMR spectroscopy Methods 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 238000004611 spectroscopical analysis Methods 0.000 description 2
- 239000004215 Carbon black (E152) Substances 0.000 description 1
- 235000019738 Limestone Nutrition 0.000 description 1
- 229910052770 Uranium Inorganic materials 0.000 description 1
- 229910052925 anhydrite Inorganic materials 0.000 description 1
- OSGAYBCDTDRGGQ-UHFFFAOYSA-L calcium sulfate Chemical compound [Ca+2].[O-]S([O-])(=O)=O OSGAYBCDTDRGGQ-UHFFFAOYSA-L 0.000 description 1
- 150000004649 carbonic acid derivatives Chemical class 0.000 description 1
- 229910052570 clay Inorganic materials 0.000 description 1
- 238000000205 computational method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 235000021321 essential mineral Nutrition 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 229930195733 hydrocarbon Natural products 0.000 description 1
- 150000002430 hydrocarbons Chemical class 0.000 description 1
- 239000006028 limestone Substances 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 239000011148 porous material Substances 0.000 description 1
- 229910052683 pyrite Inorganic materials 0.000 description 1
- NIFIFKQPDTWWGU-UHFFFAOYSA-N pyrite Chemical compound [Fe+2].[S-][S-] NIFIFKQPDTWWGU-UHFFFAOYSA-N 0.000 description 1
- 239000011028 pyrite Substances 0.000 description 1
- -1 sandstone Substances 0.000 description 1
- 230000000638 stimulation Effects 0.000 description 1
- JFALSRSLKYAFGM-UHFFFAOYSA-N uranium(0) Chemical compound [U] JFALSRSLKYAFGM-UHFFFAOYSA-N 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
- G01N15/088—Investigating volume, surface area, size or distribution of pores; Porosimetry
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Abstract
The invention discloses a kind of porosity calculation methods for the soil skeleton that becomes sticky.This method includes:Physical property experiment is carried out to rock core first, X diffraction total rock mineral are tested, acquisition core porosity, mineral constituent, mineral content data；Then the scanning well logging of X diffraction total rock mineral experimental data scale lithology is utilized, it is accurate to calculate mineral section；Obtained core porosity, mineral section are combined inverting with density curve, mixed matrix density computation model, density porosity volume-based model and obtain clay skeletal density value；Obtained clay skeletal density value is obtained clay skeletal density computation model with spectrum curve, density curve combination inverting；Clay skeletal density computation model, mineral section, mixed matrix density are calculated into models coupling inverting mixed matrix density value again；Obtained mixed matrix density value combination density porosity volume-based model inverting is finally obtained into porosity.
Description
Technical field
The invention belongs to logging technique field, more particularly to a kind of porosity calculation method for the soil skeleton that becomes sticky.
Background technology
With the continuous development of exploration engineering and geological theory, is explored in addition to conventional gas and oil and constantly obtain new discovery, it is complicated
The exploration of lithology, low porosity and low permeability petroleum resources is also obtained compared with quantum jump.In recent years complex lithology oil-gas reservoir is paid attention to by various countries, I
The complex lithology reservoir exploration of state also achieves progress, the complex lithology reservoirs such as Lacustrine Carbonates, the basement rock of some blocks
Probing exploitation has obtained high yield commercial hydrocarbon flow.Complex lithology reservoir mineralogical composition and content are changeable, result in its rock object
Characteristic is managed, if skeletal density, skeleton neutron, the variation of skeleton sound wave are complicated, porosity is difficult to calculate accurately.
The common method for seeking porosity has following three kinds：The first is nuclear magnetic resonance log method.This method is to pass through
Observation to proton signal in formation pore fluid is obtained for the porosity needed for formation evaluation.Second method is area
Empirical statistics equation, this method utilize core analysis porosity scale log, establish regional experience porosity calculation mould
Type；The third method is that different reservoir is given when handling Reservoir Section based on well logging volume physical model porosity calculation method
Rock matrix value carrys out inverting reservoir porosity.In the December, 2008 such as open non-patent literature such as Tan Fengqi exist《Current Foreign Well Logging Technology》
On deliver《Application of the Element Capture Spectroscopy Logging in volcanic rock reservoir porosity calculation》, it is bent that this method is based on ECS sensitive elements
Line establishes rock core skeletal density model, obtains the matrix density curve with change in depth, then inverted porosity curve.
Porosity calculation method set forth above has respective benefit and limitation.Nuclear magnetic resonance log method can be direct
Continuous porosity curve is obtained, but this method cost is higher, and in high salinity stratum and low porosity and low permeability stratum nuclear magnetic signal
Signal-to-noise ratio it is low, measurement accuracy is low.Regional experience statistical formula method is simple, easy to operate, but various in complex lithology mineralogical composition
Stratum, log is influenced big by rock matrix, and the relative error for calculating porosity is larger.Based on well logging volume physics mould
Type hole porosity computational methods applicability is wide, but in the reservoir of mineral constituent complexity, clay mineral type is more, and different buried depth is at Tibetan item
The aqueous degree difference of clay is big under part, and the selection of clay skeleton value is the difficult point that it is faced.
Invention content
The purpose of the present invention is to provide a kind of porosity calculation methods for the soil skeleton that becomes sticky, to solve the above problems.
To achieve the above object, the present invention uses following technical scheme：
A kind of porosity calculation method for the soil skeleton that becomes sticky, which is characterized in that include the following steps：
Step 1：To rock core carry out physical property experiment, X diffraction total rock mineral experiment, obtain core porosity, mineral constituent,
Mineral content data；
Step 2：Well logging is scanned with the X diffraction total rock mineral experimental data scale lithology that step 1 obtains, accurately calculates mine
Object section；
Step 3：Core porosity, mineral section and density curve, the mixed matrix obtained according to step 1 and step 2
Density computation model, density porosity volume-based model are combined inverting and obtain clay skeletal density value；
Step 4：The clay skeletal density value that step 3 obtains is glued with spectrum curve, density curve combination inverting
Soil skeleton density computation model；
Step 5：By mineral section that clay skeletal density computation model that step 4 obtains, step 2 obtain with mix
Skeletal density computation model is combined inverting and obtains mixed matrix density value；
Step 6：The mixed matrix density value combination density porosity volume-based model inverting that step 5 obtains is obtained into hole
Degree.
Further, well logging is scanned with the X diffraction total rock mineral experimental data scale lithology that step 1 obtains, obtained with depth
Spend the continuous mineral section of variation.
Further, the core porosity that is obtained according to step 1 and step 2, mixes bone at mineral section and density curve
Frame density computation model, density porosity volume-based model are combined inverting and obtain clay skeletal density value；It specifically will be according to as follows
Formula carries out：
Wherein, ρmaFor mixed matrix density, ρshIndicate clay skeletal density, vshIndicate clay mineral content, ρmaiIt indicates
The density skeleton of i-th kind of mineral and include clay mineral, vmaiIt indicates i-th kind of mineral content and does not include clay mineral, Φ tables
Show core porosity, ρbIndicate log measurement density value, ρfIndicate the density of water flooding, n ＞ 1；
Known parameters ρ in formulamai、ρfIt is obtained by common skeletal density parameter list, vmai、vshWell logging determination is scanned by lithology
Mineral section obtains, and Φ is obtained by rock core physical property experiment data, ρbIt is obtained by density curve, solves equation group and obtain ρshValue.
Further, the clay skeletal density value obtained by step 3 corresponds to the thorium member of the spectrum curve of depth in conjunction with it
The density value of the density curve of the content and corresponding depth of element and potassium element, ρ is established by statistical analysisshWith THOR, POTA, ρb
Relational expression, i.e. clay skeletal density computation model
ρsh=a* ρb+b*THOR+c*POTA+M
It is clay skeletal density in formula, THOR is the content of element thorium, POTA is Element Potassium content is that log measurement is close
Angle value, a, b, c are coefficient, and M is constant term；
Coefficient a, b, c's seeks according to equation group；It is as follows：
Known parameters ρ in equation groupsh1、ρsh2..., ρshnFor clay skeletal density value, ρb1、ρb2..., ρbnFor clay skeleton
The corresponding log measurement density value of density value, (THOR)1, (THOR)2..., (THOR)nIt is worth corresponding thorium for clay skeletal density
Content, (POTA)1、(POTA)2..., (POTA)nBe worth corresponding potassium content for clay skeletal density, solve equation group obtain a, b,
C, M values.
Further, mineral section clay skeletal density computation model that step 4 obtains, step 2 obtained with it is mixed
Conjunction skeletal density computation model is combined inverting and obtains mixed matrix density value；
ρ in formulamaFor mixed matrix density value.
Further, mixed matrix density value combination density porosity volume-based model step (5) obtained calculates hole
Degree：
Φ is to calculate porosity in formula.
Compared with prior art, the present invention has following technique effect：
The present invention is a kind of technology based on the soil skeleton inverting complex lithology reservoir porosity that becomes sticky, can be accurate and effective
Lithology inversion mineral constituent it is complicated, clay type is more, the porosity of the big reservoir of buried depth.This technology not only avoids number
The disadvantage that statistic law calculates porosity universality difference is managed, also solves the reservoir of mineral constituent complexity, clay mineral type is more, no
Big with the aqueous degree difference of clay under buried depth accumulating condition, clay skeleton value chooses difficult problem, while also saving special point
Analyse the expense of the experiment of clay matrix parameter and mixed matrix density experiment.The technology effectively raises complex lithology reservoir hole
Inversion accuracy is spent, the evaluation demand for storing up work in oilfield stimulation is met.
The technology of the present invention provides technological borrowing for the porosity calculation of complex lithology reservoir.
Description of the drawings
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described.It should be evident that drawings in the following description are only some embodiments of the invention, for
For those of ordinary skill in the art, without creative efforts, other are can also be obtained according to these attached drawings
Attached drawing.
Fig. 1 is that determination provided in an embodiment of the present invention becomes sticky the method flow diagram of soil skeleton porosity；
Fig. 2 is that skeletal density parameter list is commonly used in present example；
Fig. 3 is XX wells X diffraction total rock mineral scale lithology scanning well logging result map in present example；
Fig. 4 is the XX well porosity calculations well logging result map obtained using the method for the present invention in present example.
Specific implementation mode
Below in conjunction with attached drawing, the present invention is further described：
- Fig. 4 is please referred to Fig.1, a kind of porosity calculation method for the soil skeleton that becomes sticky, this method comprises the following steps：
Step 1：To rock core carry out physical property experiment, X diffraction total rock mineral experiment, obtain core porosity, mineral constituent,
Mineral content data；
The serial rock core of complex lithology reservoir feature can be represented by choosing, according to《Core analysis method SY/T5336-
2006》Flow as defined in standard carries out physical property experiment, the experiment of X diffraction total rock mineral to rock core, and the rock core physical property experiment includes
Core porosity is tested and core permeability experiment, and obtains core porosity and core experiment permeability value, and the X diffraction is complete
The experiment of rock mineral includes rock core mineral constituent and mineral content experiment, and obtains rock core mineral constituent and mineral content.
Step 2：Well logging is scanned with the X diffraction total rock mineral experimental data scale lithology that step 1 obtains, accurately calculates mine
Object section.
By X diffraction total rock mineral experimental analyses, XX well essential mineral groups are divided into Yun Yan, limestone, sandstone, clay, pyrite,
Anhydrite is scanned using X diffraction total rock mineral experimental data scale lithology and is logged well, obtains cuing open with the continuous mineral of change in depth
Face.The roads Tu3 2-7 be XX well X diffraction total rock mineral data scale lithology scanning well logging curve, the 8th be it is continuous
Mineral section.
Step 3：Core porosity, mineral section and density curve, the mixed matrix obtained using step 1 and step 2
Density computation model, density porosity volume-based model are combined inverting and obtain clay skeletal density value.It specifically will be according to following public affairs
Formula carries out：
Wherein, ρmaFor mixed matrix density, ρshIndicate clay skeletal density, vshIndicate clay mineral content, ρmaiIt indicates
The density skeleton (not including clay mineral) of i-th kind of mineral, vmaiIndicate i-th kind of mineral content (not including clay mineral), Φ tables
Show core porosity, ρbIndicate log measurement density value, ρfIndicate the density of water flooding, n ＞ 1.
Known parameters ρ in formulamai、ρfIt is obtained by common skeletal density parameter list, vmai、vshWell logging determination is scanned by lithology
Mineral section obtains, and Φ is obtained by rock core physical property experiment data, ρbIt is obtained by density curve, solves equation group and obtain ρshValue.
Fig. 4 is XX well porosity calculations well logging result map, and the 5th is the clay skeletal density value of inverting.
Step 4：Clay skeletal density value and spectrum curve, density curve combine and obtain clay skeletal density computation model.
The soil skeletal density value obtained by step 3 is discrete data, and the clay skeleton that cannot characterize each sampled point is close
Angle value, a curve for continuously reacting each depth point clay skeletal density value, needs to establish these core samples in order to obtain
The relational expression of the rock core clay skeletal density value of product and sensitive log, continuous clay skeleton can be sought by relational expression
Density value is a continuous curve in logging diagram.
It can get the content of uranium in stratum, three kinds of thorium, potassium elements, clay skeleton and thorium and potassium element by spectrometry logging
It is in close relations, while clay skeleton value is influenced by density curve, therefore chooses thorium element, potassium element and log measurement density
Value characterizes clay skeletal density value.
The clay skeletal density value obtained using step 3 corresponds to the thorium element of the spectrum curve of depth and potassium member in conjunction with it
The density value of the density curve of the content of element and corresponding depth, ρ is established by statistical analysisshWith THOR, POTA, ρbRelationship
Formula, i.e. clay skeletal density computation model.It will specifically be carried out according to following invention formula：
ρsh=a* ρb+b*THOR+c*POTA+M
ρ in formulashFor clay skeletal density, THOR is the content of element thorium, POTA is the content of Element Potassium, ρbLog measurement
Density value, a, b, c are coefficient, and M is constant term.
Coefficient a, b, c's seeks according to equation group.It is as follows：
Known parameters ρ in equation groupsh1、ρsh2..., ρshnFor clay skeletal density value, ρb1、ρb2..., ρbnFor clay skeleton
The corresponding log measurement density value of density value, (THOR)1, (THOR)2..., (THOR)nIt is worth corresponding thorium for clay skeletal density
Content, (POTA)1、(POTA)2..., (POTA)nBe worth corresponding potassium content for clay skeletal density, solve equation group obtain a, b,
C, M values.
Obtained clay skeletal density value inverse model is as follows：
ρsh=3.34* ρb+0.004*THOR+0.029*POTA-6.43
Fig. 4 seconds are conventional logging density curve, and third road is thorium and potassium curve in spectrum curve, and the 6th is meter
The clay skeletal density curve of calculation.
Step 5：By mineral section that clay skeletal density computation model that step 4 obtains, step 2 obtain with mix
Skeletal density computation model is combined inverting and obtains mixed matrix density value.Specifically carried out according to following formula：
ρ in formulamaFor mixed matrix density value.
Fig. 4 the 7th is mixed matrix density curve.
Step 6：The mixed matrix density value combination density porosity volume-based model inverting that step 5 obtains is obtained into hole
Degree.Specifically carried out according to following formula：
The 8th A-POR of Fig. 4 are experimental analysis core porosity, are indicated with rod-shaped in figure；POR is to utilize foregoing invention
The porosity curve of calculating.As can be seen that porosity and experiment core analysis porosity one that the inventive technique calculates from figure
Cause property is preferable, and it is high to calculate porosity precision.
The present invention is elaborated above, specific case is used in combination to carry out the principle of the present invention and embodiment
Detailed introduction, the explanation of above example are intended merely to help to understand embodiments of the present invention and core concept, the present invention
Implementation be not only limited to above-described embodiment, other are any based on changing made by the method for the present invention principle, replace, group
It closes, is equivalent substitute mode, within the scope of the present invention.
Claims (6)
1. a kind of porosity calculation method for the soil skeleton that becomes sticky, which is characterized in that include the following steps：
Step 1：Physical property experiment, the experiment of X diffraction total rock mineral are carried out to rock core, obtain core porosity, mineral constituent, mineral
Content data；
Step 2：Well logging is scanned with the X diffraction total rock mineral experimental data scale lithology that step 1 obtains, the accurate mineral that calculate cut open
Face；
Step 3：The core porosity, mineral section and the density curve that are obtained according to step 1 and step 2, mixed matrix density
Computation model, density porosity volume-based model are combined inverting and obtain clay skeletal density value；
Step 4：The clay skeletal density value that step 3 obtains is obtained into clay bone with spectrum curve, density curve combination inverting
Frame density computation model；
Step 5：The mineral section and mixed matrix that clay skeletal density computation model that step 4 obtains, step 2 are obtained
Density computation model is combined inverting and obtains mixed matrix density value；
Step 6：The mixed matrix density value combination density porosity volume-based model inverting that step 5 obtains is obtained into porosity.
2. a kind of porosity calculation method of soil skeleton that becomes sticky according to claim 1, which is characterized in that obtained with step 1
The X diffraction total rock mineral experimental data scale lithology scanning well logging arrived, obtains the continuous mineral section with change in depth.
3. a kind of porosity calculation method of soil skeleton that becomes sticky according to claim 1, which is characterized in that according to step 1
Core porosity, mineral section and density curve, mixed matrix density computation model, the density porosity body obtained with step 2
Product module type is combined inverting and obtains clay skeletal density value；It will specifically be carried out according to following formula：
Wherein, ρmaFor mixed matrix density, ρshIndicate clay skeletal density, vshIndicate clay mineral content, ρmaiIndicate i-th kind
The density skeleton of mineral and include clay mineral, vmaiIt indicates i-th kind of mineral content and does not include clay mineral, Φ indicates rock
Heart porosity, ρbIndicate log measurement density value, ρfIndicate the density of water flooding, n ＞ 1；
Known parameters ρ in formulamai、ρfIt is obtained by common skeletal density parameter list, vmai、vshThe determining mineral of well logging are scanned by lithology
Section obtains, and Φ is obtained by rock core physical property experiment data, ρbIt is obtained by density curve, solves equation group and obtain ρshValue.
4. a kind of porosity calculation method of soil skeleton that becomes sticky according to claim 1, which is characterized in that obtained by step 3
The clay skeletal density value arrived corresponds to the thorium element of spectrum curve of depth and the content of potassium element in conjunction with it and corresponds to depth
The density value of density curve establishes ρ by statistical analysisshWith THOR, POTA, ρbRelational expression, i.e., clay skeletal density calculate
Model
ρsh=a* ρb+b*THOR+c*POTA+M
It is clay skeletal density in formula, THOR is the content of element thorium, POTA is Element Potassium content is log measurement density
Value, a, b, c are coefficient, and M is constant term；
Coefficient a, b, c's seeks according to equation group；It is as follows：
Known parameters ρ in equation groupsh1、ρsh2..., ρshnFor clay skeletal density value, ρb1、ρb2..., ρbnFor clay skeletal density
It is worth corresponding log measurement density value, (THOR)1, (THOR)2..., (THOR)nIt is worth corresponding thorium content for clay skeletal density,
(POTA)1、(POTA)2..., (POTA)nIt is worth corresponding potassium content for clay skeletal density, solves equation group and obtain a, b, c, M
Value.
5. a kind of porosity calculation method of soil skeleton that becomes sticky according to claim 1, which is characterized in that obtain step 4
To clay skeletal density computation model, the obtained mineral section of step 2 be combined inverting with mixed matrix density computation model
Obtain mixed matrix density value；
ρ in formulamaFor mixed matrix density value.
6. a kind of porosity calculation method of soil skeleton that becomes sticky according to claim 1, which is characterized in that by step (5)
Obtained mixed matrix density value combination density porosity volume-based model calculates porosity：
Φ is to calculate porosity in formula.
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| CN113720745A (en) * | 2020-05-26 | 2021-11-30 | 中国石油化工股份有限公司 | Method for calculating porosity of reservoir stratum containing carbon debris by geophysical logging |
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| CN107829731A (en) * | 2017-11-06 | 2018-03-23 | 陈国军 | A kind of volcanic rock porosity correction method of clay alteration |
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| CN101832133A (en) * | 2010-01-28 | 2010-09-15 | 中国石油集团川庆钻探工程有限公司 | Reservoir fluid type discrimination method based on difference value of density porosity and neutron porosity |
| CN104564037A (en) * | 2013-10-10 | 2015-04-29 | 中国石油天然气股份有限公司 | Shale gas reservoir brittle mineral content logging calculation method |
| CN105205296A (en) * | 2014-06-09 | 2015-12-30 | 中国石油化工股份有限公司 | Method for calculating porosity of shale gas reservoir |
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| CN113720745A (en) * | 2020-05-26 | 2021-11-30 | 中国石油化工股份有限公司 | Method for calculating porosity of reservoir stratum containing carbon debris by geophysical logging |
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