CN105386757A - Clastic rock reservoir porosity normal compaction trend line determination method - Google Patents
Clastic rock reservoir porosity normal compaction trend line determination method Download PDFInfo
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- CN105386757A CN105386757A CN201510969073.6A CN201510969073A CN105386757A CN 105386757 A CN105386757 A CN 105386757A CN 201510969073 A CN201510969073 A CN 201510969073A CN 105386757 A CN105386757 A CN 105386757A
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- 238000000034 method Methods 0.000 title claims abstract description 38
- 239000011435 rock Substances 0.000 title claims abstract description 30
- 238000005056 compaction Methods 0.000 title claims abstract description 28
- 238000011160 research Methods 0.000 claims abstract description 5
- 239000011148 porous material Substances 0.000 claims description 5
- 230000002159 abnormal effect Effects 0.000 abstract description 20
- 230000000694 effects Effects 0.000 abstract description 3
- 238000000926 separation method Methods 0.000 description 7
- 230000005856 abnormality Effects 0.000 description 6
- 230000015572 biosynthetic process Effects 0.000 description 2
- 230000000052 comparative effect Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000009933 burial Methods 0.000 description 1
- 239000004927 clay Substances 0.000 description 1
- 239000011248 coating agent Substances 0.000 description 1
- 238000000576 coating method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000004090 dissolution Methods 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 238000009499 grossing Methods 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
Classifications
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
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- Fluid Mechanics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention relates to a clastic rock reservoir porosity normal compaction trend line determination method. On the basis of establishing a research area reservoir porosity database, by means of reservoir porosity database distribution histograms in different depth sections, critical points (normal porosity maximum values) of normal porosity subsequent groups and abnormal porosity subsequent groups of the different depth sections are determined, by smoothly connecting the porosity critical points of different depth sections, a research area clastic rock reservoir porosity normal evolution trend line is determined, and the problem that a research area clastic rock reservoir porosity normal compaction trend line is determined quantitatively is effectively solved. According to the clastic rock reservoir porosity normal compaction trend line determination method, the calculated reservoir porosity normal compaction trend line is very close to the reservoir porosity normal evolution trend line calculated through an abnormity removing method, needed data are few, practicability and operability are high, the application effect of exploring an exploration block which is mature and big in data richness is good, the clastic rock reservoir compaction trend line can be effectively calculated in an exploration block which is low in exploration degree and small in data richness, and the advantages of convenience, rapidness and high efficiency are achieved.
Description
Technical field
The invention belongs to oil and gas exploration and development technique field, specifically, relate to a kind of clastic reservoir rock degree of porosity normal compaction trend line and determine method.
Background technology
Clastic reservoir rock degree of porosity normal compaction trend line refers in a certain particular configuration band and does not experience abnormal increasing hole and the abnormal evolution trend line of clastic reservoir rock degree of porosity with buried depth protecting hole geologic process in normal burial diagenesis process, is the key technical index dividing abnormal high porosity and normal degree of porosity.The method multi-band of determining of existing reservoir porosity normal compaction trend line (being also called reservoir maximum porosity normal evolution trend line, the normal evolution trend line of reservoir porosity, reservoir porosity normal compaction-cementing Trendline etc.) has larger subjectivity; The method utilizing rejecting to relate to the degree of porosity of the abnormal geological factor more considerablely can determine this Trendline, but this kind of method needs the geologic data such as a large amount of formation fluid pressures, rock core oiliness, the effect of the exploration acreage that it is comparatively ripe in exploration, data abundance is larger is better, and degree of prospecting relatively low-exploration acreage that data abundance is less, its operation easier is larger; The geologic parameter simultaneously related to due to the method is many, and workload is very large, does not have convenient-feature efficiently.Therefore, need to set up more practical, that operability is stronger clastic reservoir rock degree of porosity normal compaction trend line and determine method.
Summary of the invention
The present invention is directed to prior art above shortcomings, a kind of clastic reservoir rock degree of porosity normal compaction trend line is provided to determine method, the method is on the basis setting up study area reservoir porosity database, utilize reservoir porosity distribution histogram in different depth section, efficiently solve the problem of quantitatively determining study area clastic reservoir rock degree of porosity normal compaction trend line.
According to one embodiment of the invention, provide a kind of clastic reservoir rock degree of porosity normal compaction trend line and determine method, containing following steps:
Collection research district reservoir pore space degrees of data, sets up porosity data storehouse;
According to study area reservoir buried depth from shallow to deep, reservoir porosity distribution situation in statistics different depth interval, sets up the degree of porosity distribution histogram in each depth intervals;
Get different depth starting point, the interval constant depth section of different depth, in each depth intervals constant depth section, get the degree of porosity distribution histogram meeting normal distribution and left avertence feature or the degree of porosity distribution histogram occurring obvious double-peak feature; For the degree of porosity histogram with normal distribution and left avertence feature, read the maximum value of degree of porosity, as the normal degree of porosity maximum value that this depth intervals constant depth section intermediate value degree of depth is corresponding; For the degree of porosity distribution histogram with double-peak feature, read the secondary overall maximum value of normal degree of porosity, as the normal degree of porosity maximum value that this depth intervals constant depth section intermediate value degree of depth is corresponding;
The intermediate value degree of depth in different depth interval and the maximum pore angle value in respective depth interval are carried out matching, sets up the normal evolution trend line of reservoir maximum porosity.
Method is determined according to a kind of clastic reservoir rock degree of porosity normal compaction trend line that the embodiment of the present invention provides, on the basis setting up study area reservoir porosity database, utilize reservoir porosity distribution histogram in different depth section, determine the critical point (i.e. normal degree of porosity maximum value) of the normal degree of porosity of different depth section time colony and abnormal porosity time colony, by the degree of porosity threshold of different depth section in smoothing junction, determine the normal evolution trend line of study area clastic reservoir rock degree of porosity, efficiently solve the problem of quantitatively determining study area clastic reservoir rock degree of porosity normal compaction trend line.Compared with the normal evolution trend line of the reservoir porosity asked for existing rejecting abnormalities method, a kind of clastic reservoir rock degree of porosity normal compaction trend line provided by the embodiment of the present invention determines method, the normal evolution trend line of reservoir porosity that the reservoir porosity normal compaction trend line obtained and rejecting abnormalities method are asked for closely, but the data required for the embodiment of the present invention is few, practicality and strong operability, not only comparatively ripe in exploration, the exploration acreage effect that abundant information degree is larger is good, can also effectively ask for clastic reservoir rock compaction trend line by the less exploration acreage of-abundant information degree relatively low in degree of prospecting, there is convenient-feature efficiently.
Accompanying drawing explanation
Fig. 1 is the reservoir porosity distribution histogram that in certain depth section, no exceptions increases hole (or protecting hole) geologic process.
The abnormal reservoir porosity distribution histogram increasing hole (or protecting hole) geologic process is there is in Fig. 2 in certain depth section.
Fig. 3 is the flow chart that specific embodiment of the invention clastic reservoir rock maximum porosity compaction trend line determines method.
Fig. 4 is the normal evolution trend line of specific embodiment of the invention northern steep slope zone of Dongying depression reservoir maximum porosity.
Fig. 5 is specific embodiment of the invention northern steep slope zone of Dongying depression reservoir maximum porosity normal evolution trend line application achievements.
Fig. 6 is somewhere utilize the embodiment of the present invention to determine Comparative result that method and rejecting abnormalities method two kinds of methods ask for clastic reservoir rock normal compaction trend line.
Detailed description of the invention
Below in conjunction with the drawings and specific embodiments, the present invention is further illustrated.
When lacking the abnormal geological factor and affecting, in specific depth segment, due to the impact of compaction and cementation, the distribution histogram of reservoir porosity should present the feature of normal distribution or left avertence distribution, as shown in Figure 1; When existing due to the abnormal geological factors such as abnormal overpressure, early oil and gas injection, clay coating, mineral dissolutions, in certain depth section, reservoir porosity distribution histogram is obvious right avertence or double-peak feature, as shown in Figure 2.When double-peak feature is grown, in certain depth section, reservoir porosity obviously can be divided into normal degree of porosity time colony and abnormal porosity time colony two set, the critical point of Liang Geci colony (i.e. the maximum porosity of normal degree of porosity time colony) can be similar to and represent reservoir retainable maximum porosity when reservoir in this depth segment only experiences compaction, as shown in Figure 2.
For Eastern China Jiyang Depression, The Bohaiwan Basin northern steep slope zone of Dongying depression PALEOGENE SHAHEJIE FORMATION clastic reservoir rock.Fig. 3 is the techniqueflow chart that embodiment of the present invention clastic reservoir rock maximum porosity compaction trend line determines method, and this clastic reservoir rock maximum porosity compaction trend line is determined method and contained following steps:
Step 1: collect reservoir pore space degrees of data, set up porosity data storehouse.
Step 2: according to reservoir buried depth from shallow to deep, from top to bottom from 1200m, be spaced apart statistics rock core actual measurement degree of porosity physical data in 200m depth segment, draw degree of porosity distribution histogram, according to the feature of degree of porosity distribution histogram, divide normal degree of porosity and abnormal porosity, determine the separation of normal degree of porosity time colony and abnormal porosity time colony, the porosity value of normal degree of porosity time colony and abnormal porosity time colony's separation is as shown in table 1.
Table 1
| Push up dark/m | The end, is dark/m | The intermediate value degree of depth/m | Separation degree of porosity/% |
| 1200 | 1400 | 1300 | 27 |
| 1400 | 1600 | 1500 | 27 |
| 1600 | 1800 | 1700 | 31 |
| 1800 | 2000 | 1900 | 31 |
| 2000 | 2200 | 2100 | 28 |
| 2200 | 2400 | 2300 | 27 |
| 2400 | 2600 | 2500 | 22 |
| 2600 | 2800 | 2700 | 20 |
| 2800 | 3000 | 2900 | 20 |
| 3000 | 3200 | 3100 | 19 |
| 3200 | 3400 | 3300 | 16 |
| 3400 | 3600 | 3500 | 14 |
| 3600 | 3800 | 3700 | 12 |
| 3800 | 4000 | 3900 | 12 |
| 4000 | 4200 | 4100 | 8 |
| 4200 | 4400 | 4300 | 6 |
| 4400 | 4600 | 4500 | 6 |
| 4600 | 4800 | 4700 | 3 |
Step 3: starting point is from 1300m, interval 200m segmentation, rock core actual measurement degree of porosity physical data is added up in different depth section, draw degree of porosity distribution histogram, according to the distribution characteristics of degree of porosity distribution histogram, divide normal degree of porosity and abnormal porosity, determine the separation of normal degree of porosity time colony and abnormal porosity time colony, the porosity value of normal degree of porosity time colony and abnormal porosity time colony's separation is as shown in table 2.
Table 2
Step 4: normal degree of porosity time colony and abnormal porosity time colony's separation of the interval constant depth section of different depth starting point step 2 and step 3 two steps obtained, different depth combine, the Trendline that the normal degree of porosity of matching time colony and abnormal porosity secondary colony separation develop with the degree of depth, be the normal evolution trend line of reservoir maximum porosity, as shown in Figure 4.By normal for reservoir maximum porosity evolution trend line and degree of porosity-depth section figure superimposed, determine that the present embodiment study area exists 4 abnormal high porosity strips respectively at 2700-3200m, 3300-3700m, 3900-4400m and 4700-4900m, as shown in Figure 5.
Fig. 6 is somewhere utilize the embodiment of the present invention to determine Comparative result that method and rejecting abnormalities method two kinds of methods ask for clastic reservoir rock normal compaction trend line.In Fig. 6, curve A is the normal evolution trend line of reservoir porosity that somewhere utilizes rejecting abnormalities method to ask for, and curve B determines for what utilize the embodiment of the present invention to provide the normal evolution trend line of reservoir porosity that method asks for.Contrast two Trendline can find out, provided by the inventionly determine the normal evolution trend line of reservoir porosity that method and rejecting abnormalities method ask for closely, but data of determining required for method provided by the invention is few, practicality and operability are stronger, thus can realize degree of prospecting relatively low-exploration acreage that abundant information degree is less effectively asks for clastic reservoir rock compaction trend line.
Above illustrated embodiment is only with illustrating the present invention for convenience; not limiting the scope of the invention; at technical scheme category of the present invention, person of ordinary skill in the field does various simple deformation and modification, all should be included in above claim.
Claims (1)
1. clastic reservoir rock degree of porosity normal compaction trend line determines a method, it is characterized in that: containing following steps:
Collection research district reservoir pore space degrees of data, sets up porosity data storehouse;
According to study area reservoir buried depth from shallow to deep, reservoir porosity distribution situation in statistics different depth interval, sets up the degree of porosity distribution histogram in each depth intervals;
Get different depth starting point, the interval constant depth section of different depth, in each depth intervals constant depth section, get the degree of porosity distribution histogram meeting normal distribution and left avertence feature or the degree of porosity distribution histogram occurring obvious double-peak feature; For the degree of porosity histogram with normal distribution and left avertence feature, read the maximum value of degree of porosity, as the normal degree of porosity maximum value that this depth intervals constant depth section intermediate value degree of depth is corresponding; For the degree of porosity distribution histogram with double-peak feature, read the secondary overall maximum value of normal degree of porosity, as the normal degree of porosity maximum value that this depth intervals constant depth section intermediate value degree of depth is corresponding;
The intermediate value degree of depth in different depth interval and the maximum pore angle value in respective depth interval are carried out matching, sets up the normal evolution trend line of reservoir maximum porosity.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107366539A (en) * | 2017-07-18 | 2017-11-21 | 中国石油大学(华东) | A kind of submountain region elements of sandstone porosity Forecasting Methodology |
| CN108376189A (en) * | 2018-02-06 | 2018-08-07 | 长江大学 | The restoration methods of diagenesis facies evolution during clastic reservoir rock is buried |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4346592A (en) * | 1979-03-06 | 1982-08-31 | Dresser Industries, Inc. | Method for determining effective reservoir porosity |
| CN101149439A (en) * | 2007-11-13 | 2008-03-26 | 符力耘 | High resolution ratio non-linear reservoir properties inversion method |
| WO2009070365A1 (en) * | 2007-11-27 | 2009-06-04 | Exxonmobil Upstream Research Company | Method for determining the properties of hydrocarbon reservoirs from geophysical data |
| CN102748016A (en) * | 2012-07-10 | 2012-10-24 | 中国石油大学(华东) | Geologic history period sandstone reservoir porosity evolution recovery method |
| CN104459790A (en) * | 2014-12-10 | 2015-03-25 | 中国石油大学(北京) | Oil-gas possibility basin effective reservoir analysis method and device |
| CN104751002A (en) * | 2015-04-10 | 2015-07-01 | 中国石油大学(北京) | Method for determining effective sandstone reservoir |
-
2015
- 2015-12-21 CN CN201510969073.6A patent/CN105386757A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4346592A (en) * | 1979-03-06 | 1982-08-31 | Dresser Industries, Inc. | Method for determining effective reservoir porosity |
| CN101149439A (en) * | 2007-11-13 | 2008-03-26 | 符力耘 | High resolution ratio non-linear reservoir properties inversion method |
| WO2009070365A1 (en) * | 2007-11-27 | 2009-06-04 | Exxonmobil Upstream Research Company | Method for determining the properties of hydrocarbon reservoirs from geophysical data |
| CN102748016A (en) * | 2012-07-10 | 2012-10-24 | 中国石油大学(华东) | Geologic history period sandstone reservoir porosity evolution recovery method |
| CN104459790A (en) * | 2014-12-10 | 2015-03-25 | 中国石油大学(北京) | Oil-gas possibility basin effective reservoir analysis method and device |
| CN104751002A (en) * | 2015-04-10 | 2015-07-01 | 中国石油大学(北京) | Method for determining effective sandstone reservoir |
Non-Patent Citations (1)
| Title |
|---|
| 邱隆伟 等: "渤南洼陷沙四上亚段储层异常高孔带及优质储层成因机制", 《天然气地球科学》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107366539A (en) * | 2017-07-18 | 2017-11-21 | 中国石油大学(华东) | A kind of submountain region elements of sandstone porosity Forecasting Methodology |
| CN107366539B (en) * | 2017-07-18 | 2020-05-22 | 中国石油大学(华东) | Method for predicting porosity of sandstone reservoir in mountain front area |
| CN108376189A (en) * | 2018-02-06 | 2018-08-07 | 长江大学 | The restoration methods of diagenesis facies evolution during clastic reservoir rock is buried |
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Application publication date: 20160309 |