CN106894800B - A kind of profile control well selection decision-making technique suitable for Offshore Heavy Oil Field oil reservoir - Google Patents
A kind of profile control well selection decision-making technique suitable for Offshore Heavy Oil Field oil reservoir Download PDFInfo
- Publication number
- CN106894800B CN106894800B CN201710099628.5A CN201710099628A CN106894800B CN 106894800 B CN106894800 B CN 106894800B CN 201710099628 A CN201710099628 A CN 201710099628A CN 106894800 B CN106894800 B CN 106894800B
- Authority
- CN
- China
- Prior art keywords
- water injection
- index
- injection well
- evaluated
- profile control
- 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
- 239000003921 oil Substances 0.000 title claims abstract description 37
- 238000000034 method Methods 0.000 title claims abstract description 36
- 239000000295 fuel oil Substances 0.000 title claims abstract description 21
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 122
- 238000002347 injection Methods 0.000 claims abstract description 97
- 239000007924 injection Substances 0.000 claims abstract description 97
- 238000011156 evaluation Methods 0.000 claims abstract description 45
- 238000012360 testing method Methods 0.000 claims abstract description 27
- 230000008569 process Effects 0.000 claims abstract description 12
- 230000035699 permeability Effects 0.000 claims description 34
- 238000009826 distribution Methods 0.000 claims description 25
- 238000011161 development Methods 0.000 claims description 7
- 238000004519 manufacturing process Methods 0.000 claims description 7
- 238000012544 monitoring process Methods 0.000 claims description 6
- 230000003068 static effect Effects 0.000 claims description 6
- 235000013399 edible fruits Nutrition 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000013178 mathematical model Methods 0.000 claims description 3
- 239000010779 crude oil Substances 0.000 claims 1
- 230000008901 benefit Effects 0.000 abstract description 5
- 238000012546 transfer Methods 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 4
- 230000015572 biosynthetic process Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 238000011084 recovery Methods 0.000 description 2
- 241001074085 Scophthalmus aquosus Species 0.000 description 1
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005465 channeling Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- KINULKKPVJYRON-PVNXHVEDSA-N n-[(e)-[10-[(e)-(4,5-dihydro-1h-imidazol-2-ylhydrazinylidene)methyl]anthracen-9-yl]methylideneamino]-4,5-dihydro-1h-imidazol-2-amine;hydron;dichloride Chemical compound Cl.Cl.N1CCN=C1N\N=C\C(C1=CC=CC=C11)=C(C=CC=C2)C2=C1\C=N\NC1=NCCN1 KINULKKPVJYRON-PVNXHVEDSA-N 0.000 description 1
- 239000003129 oil well Substances 0.000 description 1
- 230000037361 pathway Effects 0.000 description 1
- 230000033764 rhythmic process Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- E21B41/0092—
-
- 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
- E21B33/00—Sealing or packing boreholes or wells
- E21B33/10—Sealing or packing boreholes or wells in the borehole
- E21B33/13—Methods or devices for cementing, for plugging holes, crevices or the like
-
- 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
- E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
- E21B43/16—Enhanced recovery methods for obtaining hydrocarbons
- E21B43/20—Displacing by water
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- Mining & Mineral Resources (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Life Sciences & Earth Sciences (AREA)
- Educational Administration (AREA)
- Entrepreneurship & Innovation (AREA)
- Geology (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Fluid Mechanics (AREA)
- Game Theory and Decision Science (AREA)
- Environmental & Geological Engineering (AREA)
- Quality & Reliability (AREA)
- Geochemistry & Mineralogy (AREA)
- Animal Husbandry (AREA)
- Agronomy & Crop Science (AREA)
- Marine Sciences & Fisheries (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Investigation Of Foundation Soil And Reinforcement Of Foundation Soil By Compacting Or Drainage (AREA)
Abstract
The present invention relates to a kind of profile control well selection decision-making techniques suitable for Offshore Heavy Oil Field oil reservoir, comprising the following steps: 1) divides the single factor test index in profile control well selection decision according to Criterion Attribute；2) numerical value of water injection well comprehensive evaluation index to be evaluated is calculated；3) average value of the block water injection well comprehensive evaluation index is calculated；4) numerical value of the water injection well comprehensive evaluation index to be evaluated obtained in step 2) is compared with the average value of the block water injection well comprehensive evaluation index obtained in step 3 and then whether decision water injection well to be evaluated needs to carry out profile control measures.The invention has the following advantages that the influence of viscosity of crude has been fully considered in 1, heavy crude reservoir profile control well selection decision at sea of the invention, so that profile control well selection decision-making technique is more accurate.2, analytic hierarchy process (AHP) is used in the present invention and calculates every weight, and eliminating human factor influences, so that profile control well selection decision-making technique is more scientific, reasonable.
Description
Technical field
The present invention relates to a kind of profile control well selection decision-making techniques suitable for Offshore Heavy Oil Field oil reservoir, belong to oil-gas field development neck
Domain.
Background technique
Profile control and water plugging technology is the steady oil control water of heterogeneous reservoir, the key technology for improving waterflood efficiency, in improving ecology oil
Field development effectiveness plays an important role in terms of improving oil field ultimate recovery.As offshore oilfield exploitation successively enters
Later period, many oil well productions will enter high water cut stage, and the status of profile control and water plugging technology will be more and more important.Profile control measures at
It is defeated by and is heavily dependent on scientific and reasonable profile control decision and optimization, the optimization of screening, construction parameter including profile control well,
Effect prediction and evaluation etc..
Currently, selecting well for land oil field block integral profile control, more mature technology has pressure index (PI) decision skill
Art, reservoir engineering (RE) decision-making technic and numerical simulation (RS) decision-making technic.Patent CN1173581A discloses a kind of utilize and infuses
Well well head falloff curve calculates the method that resulting pressure index carries out decision, and with strong operability, decision surface is wide, determines
The rapid advantage of plan.Patent CN1560429 discloses a kind of decision-making technique for considering block plane and longitudinal heterogeneity,
Monthly data is produced using water injection well falloff curve, intake profile, oil-water well corresponding relationship, oil-water well and with brill electrical measurement data etc.
Data comes Calculation Plane heterogeneity decision-making coefficient and vertical heterogeneity decision-making coefficient, is according to progress with these decision-making coefficients
Block integral profile control selects well decision, have the advantages that comprehensively, it is system, objective.
Although above-mentioned land oil field block profile control well selection decision-making technic has their own advantages, for offshore oilfield, these
Decision-making technic is simultaneously not suitable for, especially Offshore Heavy Oil Field oil reservoir, the reason is that, viscous crude has the property such as viscosity is big, density is high, Flowing Hard
Therefore matter is to have very much using viscosity of crude as the decision index system of well is selected for Offshore Heavy Oil Field reservoir profile selects well decision
It is necessary, and existing Block Profile Control selects well decision-making technique not to be classified as viscosity parameter wherein, this greatly restricts existing tune
Cut open the application for selecting well decision-making technic at sea heavy crude reservoir.
Summary of the invention
In view of the above-mentioned problems, the object of the present invention is to provide it is a kind of by viscosity of crude be included in decision index system be suitable for sea
The profile control well selection decision-making technique of heavy crude reservoir.
To achieve the above object, the invention adopts the following technical scheme: a kind of profile control suitable for Offshore Heavy Oil Field oil reservoir selects
Well decision-making technique, comprising the following steps:
1) the single factor test index in profile control well selection decision is divided according to Criterion Attribute；
2) numerical value of water injection well comprehensive evaluation index to be evaluated is calculated；
3) average value of the block water injection well comprehensive evaluation index is calculated；
It 4) should by what is obtained in the numerical value of the water injection well comprehensive evaluation index to be evaluated obtained in step 2) and step 3)
The average value of block water injection well comprehensive evaluation index is compared and then whether decision water injection well to be evaluated needs to carry out profile control and arrange
It applies.
In the step 1), the single factor test index in profile control well selection decision is divided into oil reservoir static state according to Criterion Attribute and is referred to
Mark, Production development index and Monitoring Indexes three categories；Wherein, oil reservoir Static State Index includes viscosity of crude, viscosity of crude grade
Difference, coefficient of permeability variation, effective pay thickiness and mean permeability；Production development index includes apparent water injectivity index and averagely contains
Water rate；Monitoring Indexes include intake profile coefficient of heterogeneity and wellhead of water injection well pressure drop index.
In the step 2), the numerical value acquisition process of water injection well comprehensive evaluation index to be evaluated is as follows: 1. determining marine
The judge weight of each single factor test index in viscous crude profile control well selection decision model；2. calculating water injection well to be evaluated in profile control well selection decision
The degree of membership numerical value of middle single factor evaluation index；3. calculating the numerical value of water injection well comprehensive evaluation index to be evaluated.
In the step 2), the judge weight computations of each single factor test index in Offshore Heavy Oil Field profile control well selection decision model
It is as follows:
Weight shared by each attribute of existing Offshore Heavy Oil Field oil reservoir is as follows:
To account for weight in its attribute as follows for each single factor test index in each attribute in existing Offshore Heavy Oil Field oil reservoir:
Weight of the available each single factor test index in entire decision model is calculated, wherein viscosity of crude weight is
0.0106, the differential weight of viscosity of crude is 0.0206, and coefficient of permeability variation weight is 0.0543, and mean permeability weight is
0.0330, effective pay thickiness weight is 0.0125, and apparent water injectivity index weight is 0.0694, and average moisture content weight is
0.1387, intake profile coefficient of heterogeneity weight is 0.3304, and well head pressure drop index weight is 0.3304.
In the step 2), water injection well to be evaluated degree of membership numerical value of single factor evaluation index in profile control well selection decision
Acquisition process is as follows:
The degree of membership that single factor evaluation index in profile control well selection decision is calculated using trapezoidal profile membership function, is used
Trapezoidal profile membership function mathematical model is divided into the distribution of liter ladder type and drop ladder type distribution, such as following formula (1) and formula (2),
Ladder type distribution is risen, for more bigger more excellent type:
Ladder type distribution is dropped, is smaller more excellent type:
The case where in view of practical problem, the distribution of both ladder types can rise ladder type distribution such as formula (3) by abbreviation:
Ladder type distribution is dropped such as formula (4):
In formula, a1、a2The minimum value and maximum value of single factor evaluation index respectively in profile control well selection decision, u are to be evaluated
The single factor test index of water injection well；μAFor the degree of membership of the single factor evaluation index of water injection well to be evaluated；
Determining the degree of membership numerical value of each single factor test index according to above-mentioned ladder type distribution membership function, detailed process is as follows:
Viscosity of crude calculates the degree of membership numerical value of water injection well viscosity of crude to be evaluated, knot using ladder type model Chinese style (3) are risen
Fruit is denoted as a；
Viscosity is differential using the differential degree of membership numerical value of ladder type model Chinese style (3) calculating water injection well viscosity to be evaluated is risen, and ties
Fruit is denoted as b；
Effective pay thickiness calculates the degree of membership of water injection well effective pay thickiness to be evaluated using ladder type model Chinese style (3) are risen
As a result numerical value is denoted as c；
Mean permeability is subordinate to degree using liter ladder type model Chinese style (3) calculating water injection well mean permeability to be evaluated
Value, is as a result denoted as d；
Coefficient of permeability variation calculates the person in servitude of water injection well coefficient of permeability variation to be evaluated using ladder type model Chinese style (3) are risen
Belong to degree value, is as a result denoted as e；
The intake profile coefficient of variation calculates the profile-log of water injection coefficient of variation to be evaluated using ladder type model Chinese style (3) are risen
Degree of membership numerical value, be as a result denoted as f；
Wellhead of water injection well pressure drop index calculates wellhead of water injection well pressure drop index to be evaluated using drop ladder type model Chinese style (4)
Degree of membership numerical value, is as a result denoted as g；
Apparent water injectivity index is subordinate to degree using liter ladder type model Chinese style (3) calculating water injection well apparent water injectivity index to be evaluated
Value, is as a result denoted as h；
Average moisture content is subordinate to degree using liter ladder type model Chinese style (3) calculating water injection well average moisture content to be evaluated
Value, is as a result denoted as i.
In the step 2), water injection well comprehensive evaluation index acquisition process to be evaluated passes through as follows:
The above-mentioned single factor test index degree of membership numerical value being calculated and corresponding multiplied by weight are obtained into water injection well to be evaluated
The numerical value A of comprehensive evaluation index, calculation formula such as following formula (8):
A=0.0106a+0.0206b+0.0125c+0.0330d+0.0543e+0.3304f+
0.3304·g+0.0694·h+0.1387·i。 (8)
The average value-acquiring method of the block water injection well comprehensive evaluation index is as follows in the step 3):
All water injection wells of the block are first calculated to the numerical value B of corresponding comprehensive evaluation index, then are averaged B,
Its formula such as following formula (9):
In formula, B1、B2、B3···Bn-1、BnRespectively refer to the 1st, 2,3 to n-1, n mouthfuls water injection wells of generation.
The decision process that whether water injection well to be evaluated needs to carry out profile control measures in the step 4) is as follows:
To be calculated in step 2) numerical value of the comprehensive evaluation index of water injection well to be evaluated with it is calculated in step 3)
The average value of each water injection well comprehensive evaluation index of this block is compared, if its calculated result is more than that block average value is bigger,
This water injection well more needs to carry out profile control measures, does not need to carry out profile control measures if its calculated result subaverage.
The invention adopts the above technical scheme, which has the following advantages: 1, heavy crude reservoir profile control at sea of the invention
The influence that viscosity of crude has been fully considered in well decision is selected, so that profile control well selection decision-making technique is more accurate.2, it is adopted in the present invention
Every weight is calculated with analytic hierarchy process (AHP), eliminating human factor influences, so that profile control well selection decision-making technique is more scientific, closes
Reason.
Detailed description of the invention
Fig. 1 is the liter ladder type illustraton of model of membership function in the present invention；
Fig. 2 is the drop ladder type illustraton of model of membership function in the present invention；
Fig. 3 is the schematic diagram of the Lorenz coefficient description of permeability heterogeneity of the present invention.
Specific embodiment
The present invention is described in detail below with reference to the accompanying drawings and embodiments.
A kind of profile control well selection decision-making technique suitable for Offshore Heavy Oil Field oil reservoir provided by the present invention comprising following step
It is rapid:
1) the single factor test index in profile control well selection decision is divided into oil reservoir Static State Index according to Criterion Attribute, Production development refers to
Mark and Monitoring Indexes three categories.
Wherein, oil reservoir Static State Index includes that differential viscosity of crude, viscosity of crude, coefficient of permeability variation, oil reservoir are effectively thick
Degree and mean permeability；Production development index includes apparent water injectivity index and average moisture content；Monitoring Indexes include that water suction is cutd open
Face coefficient of heterogeneity and wellhead of water injection well pressure drop index.
2) numerical value of water injection well comprehensive evaluation index to be evaluated is calculated, detailed process is as follows:
1. determining the judge weight of each single factor test index in Offshore Heavy Oil Field profile control well selection decision model
Weight shared by each attribute of existing Offshore Heavy Oil Field oil reservoir is as follows:
To account for weight in its attribute as follows for each single factor test index in each attribute in existing Offshore Heavy Oil Field oil reservoir:
Calculate the weight such as the following table 1 of available each single factor test index in entire decision model:
Table 1
| Profile control well selection index | Weight |
| Viscosity of crude | 0.0106 |
| Viscosity of crude is differential | 0.0206 |
| Coefficient of permeability variation | 0.0543 |
| Mean permeability | 0.0330 |
| Effective pay thickiness | 0.0125 |
| Apparent water injectivity index | 0.0694 |
| Average moisture content | 0.1387 |
| Intake profile coefficient of heterogeneity | 0.3304 |
| Well head pressure drop index | 0.3304 |
2. calculating the degree of membership numerical value of water injection well to be evaluated single factor evaluation index in profile control well selection decision
The present invention calculates the degree of membership of single factor test index in profile control well selection decision using trapezoidal profile membership function.It is used
Trapezoidal profile membership function mathematical model be divided into the distribution of liter ladder type and drop ladder type distribution, as shown in following formula (1) and formula (2).
As shown in Figure 1, rising ladder type distribution (more bigger more excellent type):
As shown in Fig. 2, drop ladder type distribution (smaller more excellent type):
The case where in view of practical problem, the distribution of both ladder types can rise ladder type distribution such as formula (3) by abbreviation:
Ladder type distribution is dropped such as formula (4):
In formula, a1、a2The minimum value and maximum value of single factor evaluation index respectively in profile control well selection decision；U is to be evaluated
The single factor test index of water injection well；μAFor the degree of membership of the single factor evaluation index of water injection well to be evaluated.
Determining the degree of membership numerical value of each single factor test index according to above-mentioned ladder type distribution membership function, detailed process is as follows:
Viscosity of crude: it in plane, carries out selecting well decision using viscosity of crude relative size.Viscosity of crude is bigger, injects water
Fingering phenomenon is more obvious, and more needs transfer drive, belongs to more bigger more excellent type.The viscosity of crude of all wells of this block is first obtained out, so
Minimum value is set to a afterwards1, maximum value is set to a2, water injection well viscosity of crude to be evaluated is calculated by formula (3) using liter ladder type model
Degree of membership numerical value, be as a result denoted as a；
Viscosity is differential: Zong Xiangshang, using viscosity of crude difference between the differential reaction different layers of viscosity.Viscosity is differential bigger,
The easier channelling of water is injected, transfer drive is more needed, belongs to more bigger more excellent type.The viscosity for first obtaining out all wells of this block is differential,
Then minimum value is set to a1, maximum value is set to a2, water injection well viscosity grade to be evaluated is calculated by formula (3) using liter ladder type model
The degree of membership numerical value of difference, is as a result denoted as b.
Effective pay thickiness: injection water channeling easily occurs inside thick oil pay, such as positive rhythm formation bottom and anti-rhythm oil
Layer top.Effective pay thickiness is bigger, more needs transfer drive, belongs to more bigger more excellent type.First obtain out the oil reservoir of all wells of this block
Then minimum value is set to a by effective thickness1, maximum value is set to a2, water filling to be evaluated is calculated by formula (3) using liter ladder type model
The degree of membership numerical value of well effective pay thickiness, is as a result denoted as c.
Mean permeability: oil reservoir mean permeability is calculated using weighting method.Oil reservoir mean permeability is bigger, more easy to form
Predominant pathway more needs transfer drive, belongs to more bigger more excellent type.The mean permeability of all wells of this block is first obtained out, then will
Minimum value is set to a1, maximum value is set to a2, water injection well mean permeability to be evaluated is calculated by formula (3) using liter ladder type model
Degree of membership numerical value, is as a result denoted as d.
Coefficient of permeability variation: coefficient of permeability variation is bigger, injects ripples and degree of irregularity is higher, remaining oil enrichment
Hyposmosis position.Coefficient of permeability variation is bigger, more needs transfer drive, belongs to more bigger more excellent type.The present invention uses Lorenz system
Counting method solves, and formula is following (5):
V=SADCA/SABCA (5)
In formula, V is coefficient of permeability variation；SADCAFor the zero dimension area of curl shape ADCA；SABCAFor triangle ABCA's
Zero dimension area, image are as shown in Figure 3.
The coefficient of permeability variation for calculating all wells of this block, is then set to a for minimum value1, maximum value is set to a2
The degree of membership numerical value of water injection well coefficient of permeability variation to be evaluated is calculated using a liter ladder type model, that is, formula (3), as a result
It is denoted as e.
The intake profile coefficient of variation: the intake profile coefficient of variation is bigger, and vertical heterogeneity is more serious, and waterflooding effect is got over
Difference, subsequent raising recovery factor potential is bigger, more needs transfer drive, belongs to more bigger more excellent type.The present invention uses Lorenz coefficient side
Method solves the intake profile coefficient of variation of all wells of this block, and minimum value is then set to a1, maximum value is set to a2.Using liter
Ladder type model calculates the degree of membership numerical value of the profile-log of water injection coefficient of variation to be evaluated by formula (3), is as a result denoted as f.
Wellhead of water injection well pressure drop index: intake wellhead pressure depression curve refers to that injection well closing well in normal water filling is surveyed
The variation of well head pressure is calculated according to such as following formula (6):
In formula, PI is pressure index, units MPa；P (t) is that wellhead of water injection well pressure changes with time, units MPa；t
For testing time, unit min.
In order to enable water injection well PI value to be comparable with other water injection wells PI value in block, using such as following formula (7) by PI
Value is corrected under conditions of same injection index
In formula, PIIt repairsFor the modified PI value of water injection well, units MPa；PI is the observed pressure index of water injection well, units MPa；
Q/h is water injection well injection index, unit m3/(d·m)；For block water injection well mean water absorption intensity, unit m3/(d·m)。
PI value is one measuring from wellhead of water injection well related with formation capacity (product of permeability and core intersection)
Pressure mean values, PI value is smaller, and formation capacity is bigger.If stratum is with the presence of macropore or high permeability zone, i.e. good penetrability, then PI
Be worth it is small, so selection transfer drive well point when should just select those lesser wells of PI value, belong to smaller more excellent type.First obtain out this
The well head pressure drop index of all wells of block, is then set to a for minimum value1, maximum value is set to a2, formula is passed through using drop ladder type model
(4) the degree of membership numerical value for calculating wellhead of water injection well pressure drop index to be evaluated, is as a result denoted as g.
Apparent water injectivity index: apparent water injectivity index is diurnal injection under unit well head pressure, and value is bigger, more needs profile control, belongs to
More bigger, more excellent type.The apparent water injectivity index for first obtaining out all wells of this block, is then set to a for minimum value1, maximum value is set to a2, adopt
The degree of membership numerical value for calculating water injection well apparent water injectivity index to be evaluated by formula (3) with liter ladder type model, is as a result denoted as h.
Average moisture content: target well group average moisture content is higher, more needs to carry out steady oil control water by profile control, belongs to bigger
More excellent type.The average moisture content for first obtaining out all wells of this block, is then set to a for minimum value1, maximum value is set to a2, using liter
Ladder type model calculates the degree of membership numerical value of water injection well average moisture content to be evaluated by formula (3), is as a result denoted as i.
3. calculating the numerical value of water injection well comprehensive evaluation index to be evaluated
It is comprehensive that the single factor test index degree of membership numerical value of above-mentioned calculating and corresponding multiplied by weight are obtained into water injection well to be evaluated
The numerical value A of evaluation index, calculation formula such as following formula (8):
A=0.0106a+0.0206b+0.0125c+0.0330d+0.0543e+0.3304f+
0.3304·g+0.0694·h+0.1387·i。 (8)
3) all water injection wells of the block are calculated to the numerical value B of corresponding comprehensive evaluation index, then are averaged
Its formula such as following formula (9)
In formula, B1、B2、B3···Bn-1、BnRespectively refer to the 1st, 2,3n-1, n mouthfuls of water injection wells of generation.
4) judge whether water injection well to be evaluated needs to carry out profile control measures.
To be calculated in step 2) numerical value of the comprehensive evaluation index of water injection well to be evaluated with it is calculated in step 3)
The average value of each water injection well comprehensive evaluation index of this block is compared, if its calculated result is more than block average value, this note
Well needs to carry out profile control measures, does not need to carry out profile control measures if its calculated result subaverage.
The various embodiments described above are only used for having carried out further specifically the purpose of the present invention, technical scheme and beneficial effects
It is bright, it is not intended to restrict the invention, all within the spirits and principles of the present invention, any modification, equivalent substitution and improvement done
Deng should all be included in the protection scope of the present invention.
Claims (4)
1. a kind of profile control well selection decision-making technique suitable for Offshore Heavy Oil Field oil reservoir, comprising the following steps:
1) the single factor test index in profile control well selection decision is divided according to Criterion Attribute；
2) numerical value of water injection well comprehensive evaluation index to be evaluated is calculated, detailed process is as follows:
1. determining the judge weight of each single factor test index in Offshore Heavy Oil Field profile control well selection decision model:
Weight shared by each attribute of existing Offshore Heavy Oil Field oil reservoir is as follows:
To account for weight in its attribute as follows for each single factor test index in each attribute in existing Offshore Heavy Oil Field oil reservoir:
Weight of each single factor test index in entire decision model is calculated, wherein viscosity of crude weight is 0.0106, crude oil
The differential weight of viscosity is 0.0206, and coefficient of permeability variation weight is 0.0543, and mean permeability weight is 0.0330, and oil reservoir has
Imitating thickness weight is 0.0125, and apparent water injectivity index weight is 0.0694, and average moisture content weight is 0.1387, and intake profile is non-
Matter coefficient weights are 0.3304, and well head pressure drop index weight is 0.3304；
2. calculating the degree of membership numerical value of water injection well to be evaluated single factor evaluation index in profile control well selection decision:
The degree of membership of single factor evaluation index in profile control well selection decision is calculated using trapezoidal profile membership function, what is used is trapezoidal
Distribution membership function mathematical model is divided into the distribution of liter ladder type and drop ladder type distribution, such as following formula (1) and formula (2),
Ladder type distribution is risen, for more bigger more excellent type:
Ladder type distribution is dropped, is smaller more excellent type:
The case where in view of practical problem, the distribution of both ladder types can rise ladder type distribution such as formula (3) by abbreviation:
Ladder type distribution is dropped such as formula (4):
In formula, a1、a2The minimum value and maximum value of single factor evaluation index respectively in profile control well selection decision, u are water filling to be evaluated
The single factor test index of well；μAFor the degree of membership of the single factor evaluation index of water injection well to be evaluated；
Determining the degree of membership numerical value of each single factor test index according to above-mentioned ladder type distribution membership function, detailed process is as follows:
Viscosity of crude calculates the degree of membership numerical value of water injection well viscosity of crude to be evaluated using ladder type model Chinese style (3) are risen, and as a result remembers
For a；
Viscosity is differential using the differential degree of membership numerical value of ladder type model Chinese style (3) calculating water injection well viscosity to be evaluated is risen, and as a result remembers
For b；
Effective pay thickiness is subordinate to degree using liter ladder type model Chinese style (3) calculating water injection well effective pay thickiness to be evaluated
Value, is as a result denoted as c；
Mean permeability calculates the degree of membership numerical value of water injection well mean permeability to be evaluated, knot using ladder type model Chinese style (3) are risen
Fruit is denoted as d；
Coefficient of permeability variation calculates the degree of membership of water injection well coefficient of permeability variation to be evaluated using ladder type model Chinese style (3) are risen
As a result numerical value is denoted as e；
The intake profile coefficient of variation calculates the person in servitude of the profile-log of water injection coefficient of variation to be evaluated using ladder type model Chinese style (3) are risen
Belong to degree value, is as a result denoted as f；
Wellhead of water injection well pressure drop index calculates being subordinate to for wellhead of water injection well pressure drop index to be evaluated using drop ladder type model Chinese style (4)
Degree value, is as a result denoted as g；
Apparent water injectivity index calculates the degree of membership numerical value of water injection well apparent water injectivity index to be evaluated, knot using ladder type model Chinese style (3) are risen
Fruit is denoted as h；
Average moisture content calculates the degree of membership numerical value of water injection well average moisture content to be evaluated, knot using ladder type model Chinese style (3) are risen
Fruit is denoted as i；
3. calculating the numerical value of water injection well comprehensive evaluation index to be evaluated:
It is comprehensive that the above-mentioned single factor test index degree of membership numerical value being calculated and corresponding multiplied by weight are obtained into water injection well to be evaluated
The numerical value A of evaluation index, calculation formula such as following formula (8):
A=0.0106a+0.0206b+0.0125c+0.0330d+0.0543e+0.3304f+0.3304 g+
0.0694·h+0.1387·i； (9)
3) average value of the block water injection well comprehensive evaluation index is calculated；
4) block that will be obtained in the numerical value of the water injection well comprehensive evaluation index to be evaluated obtained in step 2) and step 3)
The average value of water injection well comprehensive evaluation index is compared and then whether decision water injection well to be evaluated needs to carry out profile control measures.
2. a kind of profile control well selection decision-making technique suitable for Offshore Heavy Oil Field oil reservoir as described in claim 1, it is characterised in that: institute
It states in step 1), the single factor test index in profile control well selection decision is divided into oil reservoir Static State Index according to Criterion Attribute, production is moved
State index and Monitoring Indexes three categories；Wherein, oil reservoir Static State Index includes that viscosity of crude, viscosity of crude be differential, permeability
The coefficient of variation, effective pay thickiness and mean permeability；Production development index includes apparent water injectivity index and average moisture content；Dynamically
Monitoring index includes intake profile coefficient of heterogeneity and wellhead of water injection well pressure drop index.
3. a kind of profile control well selection decision-making technique suitable for Offshore Heavy Oil Field oil reservoir as described in claim 1, it is characterised in that: institute
The average value-acquiring method for stating the block water injection well comprehensive evaluation index in step 3) is as follows:
All water injection wells of the block are first calculated to the numerical value B of corresponding comprehensive evaluation index, then are averaged B, it is public
Formula such as following formula (9):
In formula, B1、B2、B3···Bn-1、BnRespectively refer to the 1st, 2,3 to n-1, n mouthfuls water injection wells of generation.
4. a kind of profile control well selection decision-making technique suitable for Offshore Heavy Oil Field oil reservoir as described in claim 1, it is characterised in that: institute
It is as follows to state the decision process whether water injection well to be evaluated in step 4) needs to carry out profile control measures:
Calculated local area in the numerical value and step 3) of the comprehensive evaluation index of water injection well to be evaluated will be calculated in step 2)
The average value of each water injection well comprehensive evaluation index of block is compared, if its calculated result is more than that block average value is bigger, this note
Well more needs to carry out profile control measures, does not need to carry out profile control measures if its calculated result subaverage.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710099628.5A CN106894800B (en) | 2017-02-23 | 2017-02-23 | A kind of profile control well selection decision-making technique suitable for Offshore Heavy Oil Field oil reservoir |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710099628.5A CN106894800B (en) | 2017-02-23 | 2017-02-23 | A kind of profile control well selection decision-making technique suitable for Offshore Heavy Oil Field oil reservoir |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106894800A CN106894800A (en) | 2017-06-27 |
| CN106894800B true CN106894800B (en) | 2019-05-21 |
Family
ID=59185109
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710099628.5A Active CN106894800B (en) | 2017-02-23 | 2017-02-23 | A kind of profile control well selection decision-making technique suitable for Offshore Heavy Oil Field oil reservoir |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106894800B (en) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110097254A (en) * | 2019-04-01 | 2019-08-06 | 中国石油化工股份有限公司 | The dynamic evaluation method of multielement hot fluid oil reservoirs potentiality |
| CN111985735A (en) * | 2019-05-05 | 2020-11-24 | 中国石油天然气股份有限公司 | Endogenous microbial oil displacement oil reservoir screening and evaluating method |
| CN112796718A (en) * | 2019-10-25 | 2021-05-14 | 中国石油天然气股份有限公司 | Method and device for determining profile control of single well |
| CN111291981B (en) * | 2020-01-21 | 2023-08-25 | 常州大学 | Oil reservoir well pattern injection and production well group perfection evaluation method |
| CN112096348B (en) * | 2020-09-22 | 2023-01-03 | 中联煤层气有限责任公司 | Natural gas production stratum heterogeneity evaluation method |
| CN113297740A (en) * | 2021-05-26 | 2021-08-24 | 中国石油大学(华东) | Horizontal well gel profile control parameter optimization method |
| CN113537718A (en) * | 2021-06-18 | 2021-10-22 | 宝钢日铁汽车板有限公司 | Automatic evaluation method for cold rolling oiling machine steel strip missing coating quality |
| CN114664387B (en) * | 2022-03-23 | 2024-03-19 | 西南石油大学 | Indoor evaluation method for chemical water shutoff performance of oil well based on cumulative effect |
| CN114781951B (en) * | 2022-06-23 | 2022-09-09 | 中国石油大学(华东) | Shale oil reservoir carbon dioxide huff-puff development well selection decision method and system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4793416A (en) * | 1987-06-30 | 1988-12-27 | Mobile Oil Corporation | Organic crosslinking of polymers for CO2 flooding profile control |
| CN1743641A (en) * | 2005-07-14 | 2006-03-08 | 王胜存 | Method for extracting residue oil by injecting profile control agent to norizontal well for blocking water injection path of oil reservoir |
| CN105701345A (en) * | 2016-01-13 | 2016-06-22 | 青岛理工大学 | Evaluation method for hole collapse risk of foundation of cast-in-situ bored pile and application |
-
2017
- 2017-02-23 CN CN201710099628.5A patent/CN106894800B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4793416A (en) * | 1987-06-30 | 1988-12-27 | Mobile Oil Corporation | Organic crosslinking of polymers for CO2 flooding profile control |
| CN1743641A (en) * | 2005-07-14 | 2006-03-08 | 王胜存 | Method for extracting residue oil by injecting profile control agent to norizontal well for blocking water injection path of oil reservoir |
| CN105701345A (en) * | 2016-01-13 | 2016-06-22 | 青岛理工大学 | Evaluation method for hole collapse risk of foundation of cast-in-situ bored pile and application |
Non-Patent Citations (1)
| Title |
|---|
| 《油田调剖效果的多层次模糊分析方法》;袁士宝;《系统工程理论与实践》;20061231(第12期);第127-131页 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106894800A (en) | 2017-06-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106894800B (en) | A kind of profile control well selection decision-making technique suitable for Offshore Heavy Oil Field oil reservoir | |
| CN105095986B (en) | The method of stratified reservoir overall yield prediction | |
| CN104153769B (en) | The division of a kind of fracture-pore reservoir flow unit and evaluation methodology | |
| CN105041307B (en) | A kind of industrialization flow of clastic rock oil and gas reservoir dominant flowing path identification | |
| CN105626010B (en) | A kind of water filling interval classifying rationally method in subsection water injection well | |
| CN109322649A (en) | A kind of shallow-layer Oil in Super-low Permeability sandstone oil reservoir waterflooding development effect evaluation method | |
| CN103745022B (en) | Postpolymer flood unsteady flow line method of adjustment | |
| CN110617042B (en) | Layered water injection regulation and control method for high water-consumption zone development oil reservoir | |
| US20220307356A1 (en) | Chemical flooding method for balanced displacement of heterogeneous oil reservoir | |
| CN103993862A (en) | Stratification developing method for complex fault block thin oil reservoir | |
| CN105223340A (en) | A kind of high quality source rock raw hydrocarbon potentiality key parameter evaluation method | |
| CN106150477A (en) | A kind of method determining single well controlled reserves | |
| CN103899285A (en) | Similar limit water cut period take-turn water drive method for multi-layer sandstone reservoir | |
| CN106014372B (en) | A kind of horizontal well well-arranging procedure based on sand body structure | |
| CN106285621A (en) | Method based on Multifactor Decision Making offshore oilfield new well in old district production capacity | |
| CN106651158B (en) | Quantitative evaluation method for water injection development effectiveness degree of ultra-low permeability tight reservoir horizontal well | |
| CN109209312A (en) | A kind of development of resources method that suitable polymers are driven | |
| CN109469478A (en) | Based on the self-contained oil field multistage exploitation potential assessment method of high water-cut stage for improving QFD | |
| CN109339777A (en) | Based on the hyposmosis old filed exploiting economy potential evaluation method for improving QFD | |
| CN110765624A (en) | Reasonable layering method for water injection oil reservoir | |
| CN205532554U (en) | High moisture oil reservoir is turned over 7 and is made up infilled well pattern structures with opposite 4 | |
| Hua et al. | Application of Fuzzy Comprehensive Evaluation Method in the Development Performance Evaluation Work of Overseas Oilfields | |
| Feng | Feasibility study on reservoir layered injection in Sabei Development Zone | |
| Liu | The analytic hierarchy process for the reservoir evaluation in Chaoyanggou Oilfield | |
| CN111550231B (en) | Evaluation method for perfection degree of basic well pattern of fracture-cavity oil reservoir |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 100010 Beijing, Chaoyangmen, North Street, No. 25, No. Applicant after: China Offshore Oil Group Co., Ltd. Applicant after: CNOOC research institute limited liability company Address before: 100010 Beijing, Chaoyangmen, North Street, No. 25, No. Applicant before: China National Offshore Oil Corporation Applicant before: CNOOC Research Institute |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |