CN102419787B - Method and system for identifying water flow dominant channels of high-water-content oil field - Google Patents
Method and system for identifying water flow dominant channels of high-water-content oil field Download PDFInfo
- Publication number
- CN102419787B CN102419787B CN 201110318567 CN201110318567A CN102419787B CN 102419787 B CN102419787 B CN 102419787B CN 201110318567 CN201110318567 CN 201110318567 CN 201110318567 A CN201110318567 A CN 201110318567A CN 102419787 B CN102419787 B CN 102419787B
- Authority
- CN
- China
- Prior art keywords
- parameter
- interval
- water
- ratio
- model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the invention provides a method and a system for identifying a water flow dominant channels of a high-water-content oil field. The method comprises the following steps of: acquiring parameters of between oil wells and water wells taking layer as a unit of the high-water-content oil field; performing statistical analysis on the parameters to obtain the proportion of the parameters in falling intervals; generating a model corresponding to the parameters according to the proportion of the parameters in the falling intervals; and identifying the water flow dominant channels among layers of the oil wells and the water wells according to the model corresponding to the parameters. A normal distribution model of each parameter is formed by acquiring the parameters related to the water flow dominant channels; and an identification system for identifying the water flow dominant channels is formed by establishing an identification standard of the water flow dominant channels and applying the normal distribution model of each parameter so as to improve the water flooding development effect of the high-water-content oil field.
Description
Technical field
The present invention particularly about the high water cut oil field development field, is a kind of high water cut oil field current advantage channel recognition method and system about the oil-field development field concretely.
Background technology
For the stratified waterflooding sandstone oil reservoir, along with deepening continuously of oil-field development, when exploitation enters the high water cut oil field later stage, because contradiction in oil field interlayer contradiction, horizontal contradiction, the layer, the phenomenon that the serious invalid circulation of water filling occurred, steady oil control water to high water cut oil field causes great difficulty, has directly affected the effect of waterflooding.
Can effectively improve the problems referred to above that highly aqueous Tanaka's waterflooding exists by the deep transfer drive, and the recognition technology of current advantage passage becomes the gordian technique that high water cut oil field carries out the deep transfer drive.The identification of current advantage passage to the injection that improves waterflooding development effect, profile control agent, water injection manifold to control etc. have important effect.The at present recognition methods of current advantage passage is mainly undertaken by three kinds of following modes: intake profile method, well-log information method and fuzzy mathematics method.And traditional intake profile method, well-log information method and mathematics method can only be analyzed intake profile data, wellhead pressure and Fuzzy Cluster Model, do not consider the correlation parameters such as average water injection rate, accumulation flushing time and instantaneous water injection rate, simultaneously, traditional logging trace and intake profile analysis method all are simply with data point and model contrast, the degree of accuracy of current advantage channel recognition is low, is unsuitable for widespread use.
Summary of the invention
The embodiment of the invention provides a kind of high water cut oil field current advantage channel recognition method and system, by gather the correlation parameter of current advantage passage from the production split result, has formed the normal distribution model of each parameter; By setting up the discrimination standard of current advantage passage, use each parameter normal distribution model, formed the recognition system of differentiating current advantage passage, to improve the waterflooding development effect of high water cut oil field.
One of purpose of the present invention is, a kind of high water cut oil field current advantage channel recognition method is provided, and comprising: gather the parameter between the oil-water well of high water cut oil field take layer as unit, described parameter comprises: instantaneous water injection rate, accumulation flushing time and water injection intensity; Described parameter is carried out statistical study to obtain falling into the ratio of the parameter in the interval; Generate the model corresponding with parameter according to the described ratio that falls into the parameter in the interval; According to Model Identification oil well corresponding to described parameter and the current advantage passage of each interlayer of well.
One of purpose of the present invention is, a kind of high water cut oil field current advantage lane identification system is provided, comprise: harvester, be used for gathering the parameter between the oil-water well of high water cut oil field take layer as unit, described parameter comprises: instantaneous water injection rate, accumulation flushing time and water injection intensity; Parameter model is determined device, is used for described parameter is carried out statistical study to obtain falling into the ratio of the parameter in the interval, generates the model corresponding with parameter according to the described ratio that falls into the parameter in the interval; The advantage passage identification device is according to Model Identification oil well corresponding to described parameter and the current advantage passage of each interlayer of well.
Wherein, described parameter model determines that device comprises: sizes values is determined device, is used for determining maximal value and the minimum value of described parameter; Difference is determined device, is used for the difference between definite described maximal value and the minimum value; Interval is determined device, is used for described difference is taken the logarithm to obtain interval; Parameter ratio-dependent device is used for basis and falls into the ratio that the interior number of parameters of each interval is determined each interval intrinsic parameter; Model is determined device, is used for generating the model corresponding with parameter according to the described ratio that falls into the parameter in the interval.
Beneficial effect of the present invention is, by gathering the correlation parameter of current advantage passage, puts the supplemental characteristic of each time of individual layer in order, has realized the sorting-out in statistics to current advantage channel parameters data; By the analytical parameters data point, calculate the data point proportion of each interval section, and then can draw corresponding histogram; Use normal distribution method histogrammic each point is carried out match, formed the normal distribution model of each parameter; By setting up the discrimination standard of current advantage passage, use each parameter normal distribution model, formed the recognition system of differentiating current advantage passage, to improve the waterflooding development effect of high water cut oil field.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art, the below will do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art, apparently, accompanying drawing in the following describes only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain according to these accompanying drawings other accompanying drawing.
The process flow diagram of a kind of high water cut oil field current advantage channel recognition method that Fig. 1 provides for the embodiment of the invention;
Fig. 2 is the particular flow sheet of the step S102 among Fig. 1;
The structured flowchart of a kind of high water cut oil field current advantage lane identification system that Fig. 3 provides for the embodiment of the invention;
Fig. 4 is the structured flowchart that the parameter model among Fig. 3 is determined device;
Fig. 5 is the histogram according to the ratio generation of each interval parameter of instantaneous water injection rate;
Fig. 6 is the histogram according to the ratio generation of each interval parameter of accumulation flushing time;
Fig. 7 is the histogram according to the ratio generation of each interval parameter of average water injection rate;
Fig. 8 is the histogram according to the ratio generation of each interval parameter of cumulative water injected;
Fig. 9 is the histogram according to the ratio generation of each interval parameter of water injection intensity;
Figure 10 is strong water flow field schematic diagram for certain oil field.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the invention, the technical scheme in the embodiment of the invention is clearly and completely described, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills belong to the scope of protection of the invention not making the every other embodiment that obtains under the creative work prerequisite.
The process flow diagram of a kind of high water cut oil field current advantage channel recognition method that Fig. 1 provides for the embodiment of the invention, as shown in Figure 1, described method comprises:
S101: gather the parameter between the oil-water well of high water cut oil field take layer as unit.
The parameter of mentioning among the present invention mainly comprises five class parameters between injection-production well take layer as unit, is specially instantaneous water injection rate, accumulation flushing time, cumulative water injected, average water injection rate, water injection intensity etc.Wherein need at least instantaneous water injection rate, accumulation flushing time, these three parameters of water injection intensity.
Above-mentioned five class parameters of the present invention gather from the production split result, and lower mask body is introduced all kinds of different parameters.
Instantaneous water injection rate: instantaneous water injection rate has reflected the injection flow of different times different directions.
The accumulation flushing time: imitated the time length that injection-production well is penetrated out same layer, reflected the length of water injection well along a direction flushing time, injected water washes away easy formation current advantage passage for a long time.
Average water injection rate: calculating on the history behind the water injection rate between each date every layer of injection-production well, just can calculate average water injection rate.
Cumulative water injected: between certain one deck injection-production well the size of cumulative water injected reflected to a certain extent injected water along the Main Current of a direction to, be one of foundation of research current advantage passage.
Water injection intensity:
Gather respectively five above-mentioned class parameters, put out certain oil field or certain block in order at the supplemental characteristic of each substratum, all time points, data form is as shown in table 1.
Table 1
S102: described parameter is carried out statistical study to obtain falling into the ratio of the parameter in the interval.Fig. 2 is the particular flow sheet of step S102, and as shown in Figure 2, step S102 specifically comprises:
S201: determine maximal value and minimum value in the described parameter;
S202: determine the difference between described maximal value and the minimum value;
S203: described difference is taken the logarithm to obtain interval, namely according to following formula (1), formula (2) computation interval interval.
B=log
a(max-min) （1）
Then each interval is: x
i=x
I-1+ D (3)
Wherein: D is interval, x
iRepresent interval cut off value, n represents the interval number set.
S204: according to the ratio that falls into number of parameters in each interval and determine each interval intrinsic parameter.
Five above-mentioned class parameters are carried out the subregion statistics according to formula (1), (2), (3), count the number of each interval data point, calculate the ratio of each interval parameter according to each interval number strong point number.That is:
The ratio value that all kinds of parameters are added up in each interval is as shown in table 2.
Table 2
In other embodiments of the present invention, step 102 also comprises except above-mentioned steps: the ratio according to described each interval parameter generates corresponding histogram.
S103: generate the model corresponding with parameter according to the described ratio that falls into the parameter in the interval.
According to the five class parameters that step S102 counts, can use the normal distribution model match five class parameters in the probability statistics.
The mathematic(al) representation of normal distribution is:
Wherein: μ is that mean, σ are standard deviation, is two uncertain constants, is the parameter of normal distribution, the normal distribution that different μ, different σ are corresponding different.
For convenience of description and use, often normal variate is done the data conversion.μ is the location parameter of normal distribution, describes the central tendency position of normal distribution.Normal distribution is take X=μ as axis of symmetry, left and right sides full symmetric.The mean of normal distribution, median, mode are identical, are equal to μ.σ describes the dispersion degree that the normal distribution data distributes, and σ is larger, and data distribute overstepping the bounds of propriety loose, and σ is less, and data distribute more concentrated.Being also referred to as is the form parameter of normal distribution, and σ is larger, and curve is more flat, otherwise σ is less, and curve is taller and thinner.
In this step, can carry out matched curve by least square method, calculate μ and σ in the normal distribution of parameters, so can obtain normal distribution model corresponding to five class parameters.
S104: according to Model Identification oil well corresponding to described parameter and the current advantage passage of each interlayer of well.According to the normal distribution model of different parameters, can draw each parameter in certain interval water flow field situation, namely fall into (∞, A at parameter point
Pi1) the interval table water flow field of giving the impression of weakness; Parameter falls into (A
Pi1, A
Pi2) middle expression normal water flow field; Parameter falls into (A
Pi2, ∞) represent strong water flow field.Wherein strong water flow field expresses possibility and has the non-available water circulation, so obtains respectively the parameter value of parameters, carries it in the corresponding model and can identify current advantage passage.Namely
Weak water flow field: value
PiLess than or equal to A
Pi1
Normal water flow field: value
PiGreater than A
Pi1, less than or equal to A
Pi2
Strong water flow field: value
PiGreater than A
Pi2
Wherein: value
PiThe parameter value that represents i parameter, A
Pi1, A
Pi2The separatrix that represents the water flow field of i parameter.
For 5 kinds of evaluatings mentioning among the present invention, if the standard that the individual layer injection-production well meets is more, then show to have current advantage passage.
The structured flowchart of a kind of high water cut oil field current advantage lane identification system that Fig. 3 provides for the embodiment of the invention, as shown in Figure 3, described high water cut oil field current advantage passage comprises:
Harvester 100 is used for gathering the parameter between the oil-water well of high water cut oil field take layer as unit.The parameter of mentioning among the present invention mainly comprises take layer as five class parameters between the unit injection-production well, is specially instantaneous water injection rate, accumulation flushing time, cumulative water injected, average water injection rate, water injection intensity etc.Wherein need at least instantaneous water injection rate, accumulation flushing time, these three parameters of water injection intensity.
Above-mentioned five class parameters of the present invention gather from the production split result, and lower mask body is introduced all kinds of different parameters.
Instantaneous water injection rate: instantaneous water injection rate has reflected the injection flow of different times different directions.
The accumulation flushing time: imitated the time length that injection-production well is penetrated out same layer, reflected the length of water injection well along a direction flushing time, injected water washes away easy formation current advantage passage for a long time.
Average water injection rate: calculating on the history behind the water injection rate between each date every layer of injection-production well, just can calculate average water injection rate.
Cumulative water injected: between certain one deck injection-production well the size of cumulative water injected reflected to a certain extent injected water along the Main Current of a direction to, be one of foundation of research current advantage passage.
Water injection intensity:
Gather respectively five above-mentioned class parameters, put out certain oil field or certain block in order at the supplemental characteristic of each substratum, all time points, data form is as shown in table 1.
Table 1
Parameter model is determined device 200, is used for described parameter is carried out statistical study to obtain falling into the ratio of the parameter in the interval, generates the model corresponding with parameter according to the described ratio that falls into the parameter in the interval.Fig. 4 is the structured flowchart that parameter model is determined device 200, and as shown in Figure 4, parameter model determines that device specifically comprises:
Sizes values is determined device 201, is used for determining maximal value and the minimum value of described parameter;
Difference is determined device 202, is used for the difference between definite described maximal value and the minimum value;
Interval is determined device 203, is used for described difference is taken the logarithm to obtain interval, namely according to following formula (1), formula (2) computation interval interval.
B=log
a(max-min) （1）
Then each interval is: x
i=x
I-1+ D (3)
Wherein: D is interval, x
iRepresent interval cut off value, n represents the interval number set.
Parameter ratio-dependent device 204 is used for basis and falls into the ratio that the interior number of parameters of each interval is determined each interval intrinsic parameter.
Five above-mentioned class parameters are carried out the subregion statistics according to formula (1), (2), (3), count the number of each interval data point, calculate the ratio of each interval parameter according to each interval number strong point number.That is:
The ratio value that all kinds of parameters are added up in each interval is as shown in table 2.
Table 2
Model is determined device 205, is used for generating the model corresponding with parameter according to the described ratio that falls into the parameter in the interval.According to the five class parameters that count, can use the normal distribution model match five class parameters in the probability statistics.
The mathematic(al) representation of normal distribution is:
Wherein: μ is that mean, σ are standard deviation, is two uncertain constants, is the parameter of normal distribution, the normal distribution that different μ, different σ are corresponding different.
For convenience of description and use, often normal variate is done the data conversion.μ is the location parameter of normal distribution, describes the central tendency position of normal distribution.Normal distribution is take X=μ as axis of symmetry, left and right sides full symmetric.The mean of normal distribution, median, mode are identical, are equal to μ.σ describes the dispersion degree that the normal distribution data distributes, and σ is larger, and data distribute overstepping the bounds of propriety loose, and σ is less, and data distribute more concentrated.Being also referred to as is the form parameter of normal distribution, and σ is larger, and curve is more flat, otherwise σ is less, and curve is taller and thinner.
In this device, can carry out matched curve by least square method, calculate μ and σ in the normal distribution of parameters, so can obtain normal distribution model corresponding to five class parameters.
In other embodiments of the present invention, parameter model is determined device 200 except said apparatus, and also comprise: histogram is determined device, is used for generating corresponding histogram according to the ratio of described each interval parameter.
Advantage passage identification device 300 is according to Model Identification oil well corresponding to described parameter and the current advantage passage of each interlayer of well.According to the normal distribution model of different parameters, can draw each parameter in certain interval water flow field situation, namely fall into (∞, A at parameter point
Pi1) the interval table water flow field of giving the impression of weakness; Parameter falls into (A
Pi1, A
Pi2) middle expression normal water flow field; Parameter falls into (A
Pi2, ∞) represent strong water flow field.Wherein strong water flow field expresses possibility and has the non-available water circulation, so obtains respectively the parameter value of parameters, carries it in the corresponding model and can identify current advantage passage.Namely
Weak water flow field: value
PiLess than or equal to A
Pi1
Normal water flow field: value
PiGreater than A
Pi1, less than or equal to A
Pi2
Strong water flow field: value
PiGreater than A
Pi2
Wherein: value
PiThe parameter value that represents i parameter, A
Pi1, A
Pi2The separatrix that represents the water flow field of i parameter.
For 5 kinds of evaluatings mentioning among the present invention, if the standard that the individual layer injection-production well meets is more, then show to have current advantage passage.
Introduce in detail recognition methods and the system of a kind of high water cut oil field current advantage passage provided by the invention below in conjunction with specific embodiment.
Certain oil field block has entered high water-cut stage at present, through the long-term injecting water exploitation, because in the reservoir layer, interlayer and plane heterogeneity, the oil reservoir pore texture changes, formed the high infiltration strip that is unfavorable for improving oil displacement efficiency between oil-water well in the part reservoir, cause the great amount of injection water low effective circulation, be difficult to further enlarge the water drive swept volume.Need to carry out the deep transfer drive and improve development effectiveness.The step of utilizing high water cut oil field current advantage channel recognition method and system provided by the invention to identify this oil field current advantage passage is as follows:
1, gathers the parameter of each layer of this high water cut oil field well and oil well.
This block has 14 substratums, since in June, 1970 waterflooding, total well number is 124 mouthfuls, count the data of instantaneous water injection rate between each injection-production well of each layer, accumulation flushing time, average water injection rate, cumulative water injected, water injection intensity according to the water filling situation of each well, as shown in table 3, because data volume is larger, this table is only enumerated a wherein part.
Table 3
2, described parameter is carried out statistical study to obtain the ratio of each interval parameter.
By the data of table 3 record as can be known, the maximal value of instantaneous water injection rate is 1600 between injection-production well, and minimum value is 0; The maximal value of accumulation flushing time is 330, and minimum value is 0; The maximal value of average water injection rate is 470., minimum value is 0; The maximal value of cumulative water injected is 39200, and minimum value is 0; The maximal value of water injection intensity is 500, and minimum value is 0.
Difference to each parameter maximal value and minimum value is taken the logarithm take 10 the end of as, is respectively shown in the table 4:
Table 4
| Instantaneous water injection rate between injection-production well | The accumulation flushing time | Average water injection rate | Cumulative water injected | Water injection intensity |
| B 1 | B 2 | B 3 | B 4 | B 5 |
| 3.2 | 2.52 | 2.67 | 4.59 | 2.699 |
In the present embodiment, getting interval number is 10, then can draw the interval section D of parameters according to formula (2).And then can draw each interval survey ratio of parameters, as shown in the table, table 5 is the ration statistics table of instantaneous water injection rate, table 6 is the ration statistics table of accumulation flushing time, table 7 is the ration statistics table of average water injection rate, table 8 is the ration statistics table of cumulative water injected, and table 9 is the ration statistics table of water injection intensity.
Table 5
| Interval | Number | Ratio |
| 0-1 | 2972 | 3.25 |
| 1-2 | 2929 | 3.20 |
| 2-4 | 6295 | 6.87 |
| 4-9 | 13111 | 14.32 |
| 9-19 | 19611 | 21.41 |
| 19-40 | 21031 | 22.96 |
| 40-83 | 16197 | 17.69 |
| 83-174 | 7540 | 8.23 |
| 174-365 | 1713 | 1.87 |
| 365-765 | 173 | 0.19 |
| >765 | 12 | 0.01 |
Table 6
| Interval | Number | Ratio |
| 0-1 | 104 | 10.58 |
| 1-2 | 74 | 7.53 |
| 2-3 | 37 | 3.76 |
| 3-6 | 27 | 2.75 |
| 6-10 | 47 | 4.78 |
| 10-18 | 46 | 4.68 |
| 18-32 | 180 | 18.31 |
| 32-58 | 384 | 39.06 |
| 58-103 | 55 | 5.60 |
| 103-185 | 29 | 2.95 |
| >185 | 0 | 0.00 |
Table 7
| Interval | Number | Ratio |
| 0-1 | 46 | 4.68 |
| 1-2 | 34 | 3.46 |
| 2-3 | 66 | 6.71 |
| 3-6 | 101 | 10.27 |
| 6-11 | 136 | 13.84 |
| 11-21 | 203 | 20.65 |
| 21-40 | 191 | 19.43 |
| 40-74 | 135 | 13.73 |
| 74-137 | 56 | 5.70 |
| 137-254 | 13 | 1.32 |
| >254 | 2 | 0.20 |
Table 8
| Interval | Number | Ratio |
| 0-1 | 19 | 1.93 |
| 1-3 | 28 | 2.85 |
| 3-8 | 32 | 3.26 |
| 8-24 | 49 | 4.98 |
| 24-69 | 93 | 9.46 |
| 69-198 | 119 | 12.11 |
| 198-570 | 150 | 15.26 |
| 570-1642 | 207 | 21.06 |
| 1642-4727 | 203 | 20.65 |
| 4727-13613 | 78 | 7.93 |
| >13613 | 5 | 0.51 |
Table 9
| Interval | Number | Ratio |
| 0-1 | 5419 | 5.92 |
| 1-2 | 4850 | 5.30 |
| 2-3 | 10625 | 11.60 |
| 3-6 | 17341 | 18.93 |
| 6-12 | 20226 | 22.08 |
| 12-22 | 17388 | 18.99 |
| 22-41 | 10998 | 12.01 |
| 41-77 | 4054 | 4.43 |
| 77-144 | 634 | 0.69 |
| 144-268 | 43 | 0.05 |
| >268 | 6 | 0.01 |
Can be marked on the logarithmic coordinate that establish according to the data that above-mentioned table 5, table 6, table 7, table 8, table 9 will be put in order out and fasten, draw corresponding histogram, Fig. 5 is the histogram according to the ratio generation of each interval parameter of instantaneous water injection rate; Fig. 6 is the histogram according to the ratio generation of each interval parameter of accumulation flushing time; Fig. 7 is the histogram according to the ratio generation of each interval parameter of average water injection rate; Fig. 8 is the histogram according to the ratio generation of each interval parameter of cumulative water injected; Fig. 9 is the histogram according to the ratio generation of each interval parameter of water injection intensity.
3, generate the model corresponding with parameter according to the described ratio that falls into the parameter in the interval.
The mathematic(al) representation of normal distribution is:
Use least square method that the data of each parameter point are brought in the expression formula of normal distribution, the normal distribution model that draws each parameter is respectively:
Instantaneous water injection rate normal distribution model is between injection-production well:
Accumulation flushing time normal distribution model is
The normal distribution model of average water injection rate is:
The normal distribution model of cumulative water injected is:
The normal distribution model of water injection intensity is:
4, whether identification exists current advantage passage
By instantaneous water injection rate normal distribution model between injection-production well, can draw in (∞, 9) interval is weak water flow field; Be the normal water flow field in (9,83) interval; (83, ∞) interval is strong water flow field.
By accumulation flushing time normal distribution model, can draw in (∞, 18) interval is weak water flow field; Be the normal water flow field in (18,58) interval; (58, ∞) interval is strong water flow field.
By the normal distribution model of average water injection rate, can draw in (∞, 6) interval is weak water flow field; Be the normal water flow field in (6,74) interval; (74, ∞) interval is strong water flow field.
By the normal distribution model of cumulative water injected, can draw in (∞, 69) interval is weak water flow field; Be the normal water flow field in (69,4727) interval; (4727, ∞) interval is strong water flow field.
By the normal distribution model of water injection intensity, can draw in (∞, 3) interval is weak water flow field; Be the normal water flow field in (3,22) interval; (22, ∞) interval is strong water flow field.
For above-mentioned 5 kinds of parameters, account for the over half of the parameter of getting if meet the number of above-mentioned parameter and standard between the individual layer injection-production well, then show to have current advantage passage.
In 124 mouthfuls of wells of the present embodiment, such as the instantaneous water injection rate between oil well P23 and the well J23 be 93, cumulative water injected is 2324, the accumulation flushing time is 61, average water injection rate is 38, water injection intensity is 30, meet 3 in 5 parameters, therefore, can identify and have current advantage passage between fuel-displaced P23 and the well J23.The instantaneous water injection rate of parameter between oil well P40 and the well J35 is 58, cumulative water injected is 4798, the accumulation flushing time is 59, average water injection rate is 75, water injection intensity is 25, meet 4 in 5 parameters, therefore, can identify and have current advantage passage between oil well P40 and the well J35.Identifying and the said process of other wells in the present embodiment are similar, repeat no more herein.Figure 10 is the strong water flow field schematic diagram of these highly aqueous all wells of Tanaka, as shown in Figure 10, J1 to J44 is this intra-field well, P1 to P58 is oil well, oil well is connected by the advantage passage with well among Figure 10, can clearly be shown by Figure 10, the advantage passage in the whole oil field have a situation, therefore high water cut oil field current advantage channel recognition method and system provided by the invention have very strong practicality.
In sum, useful achievement of the present invention is: by gathering the correlation parameter of current advantage passage, formed the normal distribution model of each parameter; By setting up the discrimination standard of current advantage passage, use each parameter normal distribution model, formed the recognition system of differentiating current advantage passage, to improve the waterflooding development effect of high water cut oil field.
Advantage of the present invention is:
1. creatively by gathering the correlation parameter of current advantage passage, the supplemental characteristic of whole each time of individual layer has been realized the sorting-out in statistics to current advantage channel data; By the analytical parameters data point, calculate the data point proportion of each interval section, and then can go out corresponding histogram.
2. creatively use normal distribution method histogrammic each point is carried out match, formed the normal distribution model of each parameter; By setting up the discrimination standard of current advantage passage, use each parameter normal distribution model, formed the recognition system of differentiating current advantage passage, to improve the waterflooding development effect of high water cut oil field.
Used specific embodiment among the present invention principle of the present invention and embodiment are set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (10)
1. a high water cut oil field current advantage channel recognition method is characterized in that, described method comprises:
Gather the parameter between the oil-water well of high water cut oil field take layer as unit, described parameter comprises: instantaneous water injection rate, accumulation flushing time and water injection intensity;
Described parameter is carried out statistical study to obtain falling into the ratio of the parameter in the interval;
Generate the model corresponding with parameter according to the described ratio that falls into the parameter in the interval;
According to Model Identification oil well corresponding to described parameter and the current advantage passage of each interlayer of well.
2. method according to claim 1 is characterized in that, described parameter also comprises: average water injection rate, cumulative water injected.
3. method according to claim 1 is characterized in that, described parameter is carried out statistical study comprise with the ratio that obtains falling into the parameter in the interval:
Determine maximal value and minimum value in the described parameter;
Determine the difference between described maximal value and the minimum value;
Described difference is taken the logarithm to obtain interval;
According to the ratio that falls into number of parameters in each interval and determine each interval intrinsic parameter.
4. method according to claim 3 is characterized in that, described parameter is carried out statistical study also comprise with the ratio that obtains falling into the parameter in the interval:
Ratio according to described each interval parameter generates corresponding histogram.
5. method according to claim 3 is characterized in that, generates the model corresponding with described parameter according to the ratio of described each interval intrinsic parameter and carries out according to least square method.
6. a high water cut oil field current advantage lane identification system is characterized in that, described system comprises:
Harvester is used for gathering the parameter between the oil-water well of high water cut oil field take layer as unit, and described parameter comprises: instantaneous water injection rate, accumulation flushing time and water injection intensity;
Parameter model is determined device, is used for described parameter is carried out statistical study to obtain falling into the ratio of the parameter in the interval, generates the model corresponding with parameter according to the described ratio that falls into the parameter in the interval;
The advantage passage identification device, according between Model Identification oil-water well corresponding to described parameter at the current advantage passage of each layer.
7. system according to claim 6 is characterized in that, described parameter also comprises: average water injection rate, cumulative water injected.
8. system according to claim 6 is characterized in that, described parameter model determines that device comprises:
Sizes values is determined device, is used for determining maximal value and the minimum value of described parameter;
Difference is determined device, is used for the difference between definite described maximal value and the minimum value;
Interval is determined device, is used for described difference is taken the logarithm to obtain interval;
Parameter ratio-dependent device is used for basis and falls into the ratio that the interior number of parameters of each interval is determined each interval intrinsic parameter;
Model is determined device, is used for generating the model corresponding with parameter according to the described ratio that falls into the parameter in the interval.
9. system according to claim 8 is characterized in that, described parameter model determines that device also comprises:
Histogram is determined device, is used for generating corresponding histogram according to the ratio of described each interval parameter.
10. system according to claim 8 is characterized in that, generates the model corresponding with described parameter according to the ratio of described each interval intrinsic parameter and carries out according to least square method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201110318567 CN102419787B (en) | 2011-10-19 | 2011-10-19 | Method and system for identifying water flow dominant channels of high-water-content oil field |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201110318567 CN102419787B (en) | 2011-10-19 | 2011-10-19 | Method and system for identifying water flow dominant channels of high-water-content oil field |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102419787A CN102419787A (en) | 2012-04-18 |
| CN102419787B true CN102419787B (en) | 2013-03-27 |
Family
ID=45944199
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201110318567 Active CN102419787B (en) | 2011-10-19 | 2011-10-19 | Method and system for identifying water flow dominant channels of high-water-content oil field |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102419787B (en) |
Families Citing this family (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102913233B (en) * | 2012-11-03 | 2015-02-04 | 中国石油大学(华东) | Method for recognizing dominant flow channel based on zero dimension comparison plate |
| CN103670369B (en) * | 2013-12-12 | 2016-08-17 | 中国石油天然气股份有限公司 | Method of discrimination and the device of situation is connected between a kind of injection-production well |
| CN104405349B (en) * | 2014-10-09 | 2017-03-01 | 成都北方石油勘探开发技术有限公司 | The method improving bottom water reservoir water flooding effectiveness using multistage high-pressure water jet |
| CN104899383B (en) * | 2015-06-12 | 2018-03-27 | 中国石油大学(北京) | The analogy method and system of heterogeneous carrier bed internal advantages passage |
| CN106651612B (en) * | 2016-09-30 | 2021-06-25 | 中国石油大学(北京) | Method for evaluating oil field development status |
| CN109726409A (en) * | 2017-10-30 | 2019-05-07 | 中国石油化工股份有限公司 | A kind of recognition methods of gas reservoir water enchroachment (invasion) predominant pathway |
| CN108022295B (en) * | 2017-11-20 | 2021-04-27 | 长江大学 | Method and system for identifying hyperosmotic zone between two wells |
| CN108999608A (en) * | 2018-06-14 | 2018-12-14 | 中国石油天然气股份有限公司 | A kind of low permeable glutenite rock reservoir predominant pathway recognition methods and system |
| CN111155980B (en) * | 2018-10-19 | 2023-09-01 | 中国石油化工股份有限公司 | Water flow dominant channel identification method and device |
| CN109611051B (en) * | 2018-10-31 | 2020-12-22 | 东北石油大学 | Fracturing plugging method for dominant seepage channel |
| CN110630230B (en) * | 2019-10-08 | 2021-11-16 | 中国石油化工股份有限公司 | Development method for controlling water content of water flooding after ultra-high water content period |
| CN110644982B (en) * | 2019-10-08 | 2023-01-10 | 中国石油天然气股份有限公司 | Rapid quantitative description method for low-permeability reservoir channeling channel |
| CN115828130A (en) * | 2023-02-14 | 2023-03-21 | 中国石油天然气股份有限公司 | Clustering algorithm-based multi-parameter dominant water flow channel automatic identification method and system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1944957A (en) * | 2006-10-31 | 2007-04-11 | 大庆油田有限责任公司 | Electric measuring and identifying method for sandstone oil field oil layer low efficieny and invalid circulation layer during high water content developing period |
| CN102146788A (en) * | 2011-03-30 | 2011-08-10 | 中国石油化工股份有限公司 | Method for enhancing recovery ratio through three-dimensional streamline regulation of water drive reservoir |
-
2011
- 2011-10-19 CN CN 201110318567 patent/CN102419787B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1944957A (en) * | 2006-10-31 | 2007-04-11 | 大庆油田有限责任公司 | Electric measuring and identifying method for sandstone oil field oil layer low efficieny and invalid circulation layer during high water content developing period |
| CN102146788A (en) * | 2011-03-30 | 2011-08-10 | 中国石油化工股份有限公司 | Method for enhancing recovery ratio through three-dimensional streamline regulation of water drive reservoir |
Non-Patent Citations (4)
| Title |
|---|
| 刘月田 等.大孔道模糊识别与定量计算方法.《石油钻采工艺》.2003,第25卷(第5期), |
| 大孔道模糊识别与定量计算方法;刘月田 等;《石油钻采工艺》;20031031;第25卷(第5期);54-59 * |
| 李巧云 等.高含水油田层系重组方案的灰色决策优选法.《石油勘探与开发》.2011,第38卷(第4期), |
| 高含水油田层系重组方案的灰色决策优选法;李巧云 等;《石油勘探与开发》;20110831;第38卷(第4期);463-468 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102419787A (en) | 2012-04-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102419787B (en) | Method and system for identifying water flow dominant channels of high-water-content oil field | |
| CN104484556B (en) | A kind of oil field development evaluation method | |
| CN104318058B (en) | Debris flow early-warning method based on rainfall monitoring | |
| CN109236273B (en) | Dynamic data processing method for oil field development and production | |
| CN110162922A (en) | A kind of integrated recognition method of water-drive pool dominant flowing path | |
| CN107676085A (en) | A kind of marine facies shale gas horizontal wellbore logging PRODUCTION FORECASTING METHODS | |
| CN110644982B (en) | Rapid quantitative description method for low-permeability reservoir channeling channel | |
| CN106600440B (en) | Method for selecting wells by dynamic indexes of profile control and water plugging of low-permeability oil reservoir | |
| WO2022078516A1 (en) | Tunnel resistivity advanced detection optimization method and system based on depth resolution | |
| CN103628850A (en) | Overall profile control and water plugging decision-making method for water-flooding oil field | |
| CN106056252A (en) | Shale gas field well group division three-level optimization method | |
| CN105718648B (en) | Watershed Scale underground water transports blocking priority acccess control limited region dividing method to surface water nitrogen | |
| CN107339086B (en) | Water-drive reservoir characteristic relation chart drawing method and device | |
| CN105095642A (en) | Method and device for determining history matching adjustment parameters in numerical reservoir simulation | |
| CN109209312A (en) | A kind of development of resources method that suitable polymers are driven | |
| CN105913668A (en) | Directional fake-licensed car detection method based on vast traffic data statistics | |
| CN104712301B (en) | A kind of method for determining volcanic rock reservoir pressure break scale | |
| CN110469299A (en) | A kind of exploitation of oil-extracting well water injection takes effect effect evaluation method | |
| CN104747149B (en) | The detection method of passage is altered in the agent of binary combination flooding | |
| CN109670729A (en) | A kind of top plate aquifer water well evaluation method | |
| CN108999608A (en) | A kind of low permeable glutenite rock reservoir predominant pathway recognition methods and system | |
| CN104806215B (en) | A kind of recognition methodss that the extraction well performance degree of association is injected for chemical flooding | |
| CN107288595A (en) | A kind of evaluation method of affusion utilizing ratio | |
| CN113323618A (en) | Ultra-low permeability reservoir artificial fracture water channeling treatment method and device | |
| CN104453807A (en) | Judging method of water drive fluid channeling of oilfield injection and production well group |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |