CN114060014B - Analysis method for new well exploitation characteristics of old oil field - Google Patents

Analysis method for new well exploitation characteristics of old oil field Download PDF

Info

Publication number
CN114060014B
CN114060014B CN202010741935.0A CN202010741935A CN114060014B CN 114060014 B CN114060014 B CN 114060014B CN 202010741935 A CN202010741935 A CN 202010741935A CN 114060014 B CN114060014 B CN 114060014B
Authority
CN
China
Prior art keywords
well
production
perforation
equal
average
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
Application number
CN202010741935.0A
Other languages
Chinese (zh)
Other versions
CN114060014A (en
Inventor
赖令彬
潘婷婷
祁丽莎
苏海斌
王小玮
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Petrochina Co Ltd
Original Assignee
Petrochina Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Petrochina Co Ltd filed Critical Petrochina Co Ltd
Priority to CN202010741935.0A priority Critical patent/CN114060014B/en
Publication of CN114060014A publication Critical patent/CN114060014A/en
Application granted granted Critical
Publication of CN114060014B publication Critical patent/CN114060014B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Mining & Mineral Resources (AREA)
  • Theoretical Computer Science (AREA)
  • Geology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Environmental & Geological Engineering (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Fluid Mechanics (AREA)
  • Geometry (AREA)
  • Computer Hardware Design (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Investigation Of Foundation Soil And Reinforcement Of Foundation Soil By Compacting Or Drainage (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

The invention discloses an analysis method for the exploitation characteristics of a new well of an old oil field. The invention establishes an index system, standard and flow for evaluating the production characteristics and reservoir characteristics of a new well based on the production dynamic data, perforation data, logging interpretation conclusion and comprehensive flooding interpretation conclusion. By effectively combining and comprehensively analyzing the production dynamic rule and the reservoir characteristics of the new well, reasonable measures and suggestions are provided for later development and adjustment of the new well.

Description

Analysis method for new well exploitation characteristics of old oil field
Technical Field
The invention relates to the technical field of oil reservoir development, in particular to an analysis method for new well exploitation characteristics of an old oil field.
Background
Along with the increase of the oil field exploitation years, the well pattern adaptability and the control degree are gradually reduced, and the drilling supplement, updating and encrypting of the oil-water well are an essential work for oil field development. After the new well is put into production, the exploitation characteristics and effects of the new well are often required to be analyzed, so that a basis is provided for oil well development and adjustment and establishment of reasonable injection and production policies. At present, oil well exploitation characteristic analysis does not have a set of fixed evaluation standards and procedures. How to effectively combine the production dynamic characteristics and the reservoir characteristics to form a new well exploitation characteristic analysis method of a system is a difficult problem faced by the oil reservoir engineers at present.
Disclosure of Invention
The invention aims to provide an analysis method for the exploitation characteristics of a new well of an old oil field, which combines the static characteristics and the production dynamic characteristics of a reservoir.
The old oil field is an oil field developed for more than 20 years.
The new well refers to a well which is put into production for 2-3 years.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
the invention provides an analysis method of new well exploitation characteristics of an old oil field, which comprises the following steps:
S100, screening a reference well of a new target well; obtaining production dynamic data, perforation data and logging interpretation conclusion of a target new well and a reference well, and comprehensive flooding interpretation conclusion of the new well;
s200, calculating single well production characteristic evaluation parameters of a target new well and each reference well according to production dynamic data, and classifying production characteristic types of each reference well;
s300, respectively establishing a discriminant function for each production characteristic type according to the classification result of the reference well;
s400, substituting the single well production characteristic evaluation parameters of the target new well into the discriminant function to judge the production characteristic type of the target new well;
S500, calculating single well reservoir characteristic evaluation parameters of a new target well and each reference well according to perforation data and logging interpretation conclusion; calculating the average value of single well reservoir characteristic evaluation parameters of all reference wells, thereby establishing reservoir characteristic evaluation standards;
s600, evaluating the reservoir condition of the target new well according to the reservoir characteristic evaluation standard; counting the flooding conditions of each perforation section according to the comprehensive flooding interpretation conclusion of the target new well;
s700, judging the main purpose of new well adjustment according to the production characteristic type of the target new well; based on the main purpose of adjustment, reasonable adjustment measures are provided by combining the reservoir condition and the flooding condition of the target new well.
The method effectively combines the production dynamic characteristics and the reservoir characteristics, establishes an index system, a standard and a flow for evaluating the production characteristics and the reservoir characteristics of the new well, and forms a new well exploitation characteristic analysis method of a system.
Each step is described in detail below:
S100, screening a reference well of a new target well; and obtaining production dynamic data, perforation data and logging interpretation conclusion of the target new well and the reference well, and comprehensive flooding interpretation conclusion of the new well.
Based on the analysis method of the invention, specifically, the screening conditions of the reference well include:
the production well with the time similar to the production time of the target new well (within 1-2 years), the same well pattern, the same development layer and the accumulated production days being more than 3 months;
the number of the reference wells is more than or equal to 10.
And S200, calculating single well production characteristic evaluation parameters of the target new well and each reference well according to the production dynamic data, and classifying the production characteristic types of each reference well.
Based on the analysis method, the single well production characteristic evaluation parameters comprise: average daily production fluid, average water content, well opening rate and fluid volume decline rate.
Based on the analysis method of the present invention, specifically, the production feature types in S200 include four types: middle-high liquid with low water content, middle-high liquid with high water content, insufficient liquid supply and low efficiency.
Based on the analysis method of the present invention, specifically, the classification criteria of the production feature types include the following table 1:
TABLE 1 production characteristics Classification criteria
Wherein Y 1、Y2、Y3、Y4 respectively refers to the corresponding classifications;
Q dd is the average of the average daily production rates for all reference wells and D OO is the average of the rate of decline for all reference well fluid volumes.
S300, respectively establishing a discriminant function for each production characteristic type according to the classification result of the reference well.
Based on the analysis method, specifically, S300 adopts Fisher discriminant analysis module in SPSS software to respectively construct discriminant functions for four types of production characteristic types according to the classification result of the reference well. Fisher analysis module can analyze points in 4-dimensional spaceA linear function down to a one-dimensional value.
Based on the analysis method of the invention, specifically, the discriminant function is formula (5):
Wherein: q d is average daily liquid, t/d; Average water content,%; η is the open well rate,%; d o is the liquid amount decrease rate D -1.
S400, substituting the single well production characteristic evaluation parameters of the target new well into the discriminant function to judge the production characteristic type of the target new well.
Based on the analysis method of the invention, specifically, in S400, the single well production characteristic evaluation parameter of the target new well is substituted into the discriminant function to obtain Y 1、Y2、Y3、Y4, and the larger the probability discriminant function value is, the larger the attribution probability is. The production signature types for the target new well are:
Y=max(Y1,Y2,Y3,Y4) (6)。
In the invention, when the discrimination function (5) is applied, the calculated Y 1、Y2、Y3、Y4 is a parameter, the maximum value in the calculated Y 1、Y2、Y3、Y4 is calculated, and the corresponding type is the classification type of the target new well. For example, in the example, the calculation results are Y 1 equal to 169.3993, Y 2 equal to 169.8918, Y 3 equal to 166.8301, and Y 4 equal to 121.5094, so the production characteristics of the target new well are of the type Y 2 medium-high fluid and high water.
Based on the analysis method of the invention, the calculation process of the single well production characteristic evaluation parameter specifically comprises the following steps:
1) Average daily liquid:
Wherein: q d is average daily liquid, t/d; n L is the accumulated liquid yield, t; t k is the number of days of open production, d;
2) Average water content:
Wherein: average water content,%; n w is the accumulated water yield, t;
3) Well opening rate:
wherein: η is the open well rate,%; t is the accumulated number of days of production, d;
4) Liquid amount decrease rate:
According to the oil field production rule, the initial production stage of the oil well tends to be relatively fast in descending, and accords with the arps index descending rule; making a LnQ-time t relation curve according to the production dynamic data, and obtaining a liquid amount reduction rate D o through a curve slope;
lnQ=lnQo-Dot (4)
Wherein: q is liquid yield, t/d; q o is the initial liquid yield in the decreasing stage, t/d; t is the number of days of production, d; d o is the liquid amount decreasing rate, D -1.
Note that: the well opening rate is lower than 60%, and the decline rate is 0 due to the large data dispersion.
S500, calculating single well reservoir characteristic evaluation parameters of a new target well and each reference well according to perforation data and logging interpretation conclusion; and calculating the average value of the single well reservoir characteristic evaluation parameters of all the reference wells, thereby establishing a reservoir characteristic evaluation standard.
Based on the analysis method, the characteristic evaluation parameters of the single well reservoir comprise: the total perforation thickness, the number of perforation segments, the average permeability of the perforation segments, the longitudinal permeability kick-in coefficient of the perforation segments, the injection and production correspondence degree and the injection and production sand body communication coefficient.
Based on the analysis method of the present invention, specifically, the reservoir characteristic evaluation criteria in S500 include the following table 2:
table 2 reservoir characterization criteria
In the table, the average of all reference wells: total perforation thickness h D, number of perforation segments N D, average permeability k D of perforation segments, longitudinal permeability kick-in coefficient M D of perforation segments, injection and production correspondence lambda D and injection and production sand communication coefficient alpha D.
Based on the analysis method, the calculation process of the single well reservoir characteristic evaluation parameters specifically comprises the following steps:
1) Total perforation thickness h: the sum of the thicknesses of the perforation sections;
2) Number of perforation segments N: the number of perforation segments;
3) Average permeability of perforation segment:
Wherein: k is the average permeability of the perforation section, mD; k i is the permeability, mD, of the ith perforation section of the well; h i is the thickness of the ith perforation section of the oil well, m; n is the number of perforation sections;
4) Perforation segment longitudinal permeability kick coefficient:
Wherein: m is the permeability burst coefficient, dimensionless; k max is the maximum permeability of the perforation section, mD;
5) Injection and production correspondence degree: the thickness of the oil well perforating section communicated with the surrounding water well sand body accounts for the percentage of the total perforating thickness;
wherein: h j is the thickness of a perforation section communicated with the surrounding water well sand body, m; n is the number of perforation sections communicated with surrounding water well sand bodies;
6) Injection and production sand body communication coefficient:
Wherein: z is the number of wells around the oil well, and the mouth of the well; l j is the distance between the j-th water well and the oil well, m; r is the number of perforation sections communicated with the sand body of the oil-water well; k i is the permeability, mD, of the ith perforation section of the well; h i is the thickness of the ith perforation section of the oil well, m; k wi is the permeability of the ith perforation section of the well, mD; h wi is the thickness of the ith perforation section of the well, m.
S600, evaluating the reservoir condition of the target new well according to the reservoir characteristic evaluation standard; and counting the flooding conditions of each perforation section according to the comprehensive flooding interpretation conclusion of the target new well.
Based on the analysis method of the invention, specifically, according to the comprehensive flooding interpretation conclusion of the target new well, the statistics of the flooding conditions of each perforation section comprises the following steps:
Flooding with strong water, wherein the water content is more than or equal to 80%; water flooding in the water, 40% < water content <80%; weak flooding, the water content is less than or equal to 40 percent.
S700, judging the main purpose of new well adjustment according to the production characteristic type of the target new well; based on the main purpose of adjustment, reasonable adjustment measures are provided by combining the reservoir condition and the flooding condition of the target new well.
Based on the analysis method of the present invention, specifically, the main purpose of determining new well adjustment according to the production characteristic type of the target new well is performed according to table 3:
TABLE 3 main purposes of different production characteristic types well adjustment
Based on the analysis method of the present invention, specifically, the method provides reasonable adjustment measures in combination with the reservoir condition and the flooding condition of the target new well, and proceeds according to table 4:
Table 4 adjustment measures and advice
The present invention provides a preferred embodiment comprising the steps of:
1) Screening out production wells with the production time similar to that of a new well (within 1-2 years), the same well pattern, the same development layer system and the accumulated production days of more than 3 months as reference wells; respectively arranging basic data of a new well and a reference well according to production dynamic data, perforation data, well logging interpretation results and comprehensive flooding interpretation results;
2) Calculating average daily production fluid, average water content, well opening rate and fluid quantity decreasing rate D o of the new well by combining the production dynamic data;
3) Calculating average daily production fluid, average water content, well opening rate and fluid quantity decreasing rate D o of each reference well according to the production dynamic data;
4) The reference wells were classified into four major categories according to average daily production fluid, average water content, open-hole rate, fluid level decline rate for each reference well, in combination with classification criteria (table 1): middle-high liquid middle-low water content Y 1 and middle-high liquid high water content Y 2; insufficient supply Y 3; low efficiency well Y 4;
5) According to the classification result of the reference well, adopting a Fisher discriminant analysis module in SPSS software to respectively construct discriminant functions (5) for four types of production characteristic types;
6) Q d of the new well, The values of eta and D o are substituted into the formula (5) to obtain Y 1、Y2、Y3、Y4. Judging the production characteristic type of the new well according to the formula (6);
7) Calculating h, N, k, M, lambda and alpha values of each reference well according to formulas (7) to (11), and solving an average value h D、ND、kD、MD、λD、αD of all the reference wells so as to establish reservoir characteristic evaluation criteria (table 2);
8) And calculating h, N, k, M, lambda and alpha values of the new well according to formulas (7) - (11). Evaluating the new well Chu Cengzhuang conditions with reference to reservoir characterization evaluation criteria (table 2);
9) Judging the main purpose of new well adjustment according to the new well production characteristic category (table 3);
10 Based on the purpose of adjustment, reasonable adjustment measures are proposed in combination with new well reservoir characteristics, reservoir characteristic evaluation results and flooding conditions (table 4).
The invention establishes an index system, standard and flow for evaluating the production characteristics and reservoir characteristics of a new well based on the production dynamic data, perforation data, logging interpretation conclusion and comprehensive flooding interpretation conclusion. By effectively combining and comprehensively analyzing the production dynamic rule and the reservoir characteristics of the new well, reasonable measures and suggestions are provided for later development and adjustment of the new well.
Drawings
FIG. 1 is a graph of production for the S03 well in the example.
FIG. 2 is a graph of S03 well LnQ versus time t for an example.
Detailed Description
In order to more clearly illustrate the present invention, the present invention will be further described with reference to preferred embodiments. It is to be understood by persons skilled in the art that the following detailed description is illustrative and not restrictive, and that this invention is not limited to the details given herein.
All numerical designations of the invention (e.g., temperature, time, concentration, weight, etc., including ranges for each) can generally be approximations that vary (+) or (-) as appropriate in increments of 0.01, 0.1, or 1.0, etc. All numerical designations are to be understood as preceded by the term "about".
Examples
Assuming an M reservoir exists, the embodiment analyzes the S03 production characteristics of the new well of the M reservoir
Assuming that the S03 well is a production well of the M reservoir test zone, the primary production horizon is assumed to be C 3. It is assumed that the test area is continuously put into production in 2018 to 2019, and water injection is stopped or stopped for the C 3 horizon water wells around the test area or partial well injection is stopped before and after 3 months in 2018. The influence of the original water injection well still needs to be considered in the process of the exploitation characteristic analysis of the new well because the original water well is mostly injected for more than ten years and the production time of the new production well is short.
The method comprises the following steps:
s100, screening out production wells with the production time similar to that of a new well (within 1-2 years), the same well pattern, the same development layer and the accumulated production days being more than 3 months as reference wells. And respectively arranging basic data of a new well and a reference well according to the production dynamic data, the perforation data, the logging interpretation conclusion and the comprehensive flooding interpretation conclusion.
1) New well S03 dynamic data and reservoir characteristic basic data
Assuming that the S03 well is put into production in 2018 and 7 months, the number of days of production in 2019 and 5 and 31 days is 333 days, the number of days of production in open well is 282 days, the accumulated production liquid 3343.1t, the accumulated production oil 301.2t and the accumulated production water 3041.9t. Assuming the production dynamics curves are shown in fig. 1, the reservoir characteristics basic parameters are shown in table 5.
TABLE 5 New well S03 reservoir characteristics basic parameter Table
2) Reference well dynamic data and reservoir characterization base data
Table 6 reference well production dynamics data statistics table
Table 7 reference to well reservoir characteristics basic parameter statistics
/>
And S200, calculating average daily production fluid, average water content, well opening rate and fluid volume decreasing rate D o of the new well S03 by combining the production dynamic data.
According to the formulas (1), (2) and (3), the average daily production liquid of the S03 well is calculated to be 11.9t, the average water content is 91%, and the well opening rate is 85%. From the liquid amount production data of fig. 1, a LnQ-time t relationship curve (fig. 2) was made in combination with the formula (4) and the like, and the liquid amount reduction rate D o was-0.00004 by the curve slope.
And calculating average daily production fluid, average water content, well opening rate and fluid quantity decreasing rate D o of each reference well according to the production dynamic data.
Suppose that the M reservoir test zones screened 18 reference wells altogether (Table 6, table 7). The average daily production fluid, average water content, well opening rate, and fluid volume reduction rate D o (table 8) of each reference well were obtained by the above method.
Table 8 statistics of evaluation parameters for reference well production characteristics
The reference wells were classified into four major categories according to average daily production fluid, average water content, open-hole rate, fluid level decline rate for each reference well, in combination with classification criteria (table 1): middle-high liquid middle-low water content Y 1 and middle-high liquid high water content Y 2; insufficient supply Y 3; low efficiency well Y 4; the results are shown in Table 9.
Table 9 reference well classification
S300, according to the classification result (table 9) of the reference wells, adopting Fisher discriminant analysis modules in SPSS software to respectively construct discriminant functions for the four types of reference wells, and adopting a formula (12).
S400, Q d of the S03 well,The values of eta and D o are substituted into the formula (12) to obtain Y 1、Y2、Y3、Y4. And judging the production characteristic type of the new well according to the formula (6).
The calculation results are that Y 1 is equal to 169.3993, Y 2 is equal to 169.8918, Y 3 is equal to 166.8301 and Y 4 is equal to 121.5094, so that the S03 well production characteristic type is high water content in class Y 2.
S500, calculating h, N, k, M, lambda and alpha values of each reference well according to formulas (7) - (11) (table 10), and obtaining an average value h D、ND、kD、MD、λD、αD of all the reference wells so as to establish a reservoir characteristic evaluation standard (table 11).
Table 10 statistics of reservoir characteristic evaluation parameters for reference wells
/>
Table 11 example well reservoir characterization criteria
The h, N, k, M, lambda, alpha values for the new well were calculated according to formulas (7) - (11) (table 12).
S600, evaluating the condition of the new well Chu Cengzhuang (table 12) by referring to the reservoir characteristic evaluation standard (table 11). And counting the flooding conditions of each perforation section according to the comprehensive flooding interpretation conclusion of the target new well (table 5).
Table 12S03 well reservoir characterization results
S700, judging the main purpose of new well adjustment according to the new well production characteristic category (table 3).
The production characteristic type of the S03 well is Y 2 type medium-high liquid and high water content, and the purpose of S03 well adjustment is to block large pore channels or reduce the water injection rate of a high-permeability layer.
Based on the purpose of adjustment, reasonable adjustment measures are provided by combining new well reservoir characteristics, reservoir characteristic evaluation results and flooding conditions.
S03 well reservoir characterization display (table 5): the 4 perforation sections have extremely large permeability difference, the C 3 1-1 perforation section has 34.3mD permeability, the C 3 1-2 perforation section has 51.4mD permeability, the C 3 3-1 perforation section has 143mD permeability and the C 3 3-3 perforation section has 36.4 permeability; surrounding well X251 is 150m away from the S03 well, water is injected into the C 3 3-1 perforation section, and the permeability is high (99.6 mD), so that the water channeling probability of the S03 well C 3 3-1 perforation section is extremely high.
Reservoir characterization evaluation results display (table 12): the permeability snap factor was significantly higher than 2.5, with the remaining parameters being medium.
Comprehensive flooding interpretation results show (table 5): s03 well is mainly flooded.
Therefore, the comprehensive consideration of the high permeability burst coefficient of the S03 well, the large permeability difference of different perforation sections and the extremely high water channeling risk of the C 3 3-1 perforation section is that a separate injection water injection mode is adopted, the water injection quantity of the C 3 1-1、C3 3-3 perforation section is increased, and the water injection quantity of the C 3 3-1 perforation section is reduced.
It should be understood that the foregoing examples of the present invention are provided merely for clearly illustrating the present invention and are not intended to limit the embodiments of the present invention, and that various other changes and modifications may be made therein by one skilled in the art without departing from the spirit and scope of the present invention as defined by the appended claims.

Claims (11)

1. A method for analyzing the production characteristics of a new well in an old oilfield, wherein the method comprises the steps of:
S100, screening a reference well of a new target well; obtaining production dynamic data, perforation data and logging interpretation conclusion of a target new well and a reference well, and comprehensive flooding interpretation conclusion of the new well;
s200, calculating single well production characteristic evaluation parameters of a target new well and each reference well according to production dynamic data, and classifying production characteristic types of each reference well;
Wherein the single well production characteristic evaluation parameters include: average daily production fluid, average water content, well opening rate and fluid amount decreasing rate;
The production feature types include four classes: a well with low water content in medium-high liquid, high water content in medium-high liquid, insufficient liquid supply and low efficiency; the classification standard of the production characteristic types comprises the following steps of:
Medium-high liquid low water content Y 1: the average daily liquid yield is more than or equal to 0.8Q dd, the average water content is less than or equal to 85%, the well opening rate is more than or equal to 70%, and the liquid amount decreasing rate is less than or equal to 0.6D OO;
Medium-high liquid high water content Y 2: the average daily liquid yield is more than or equal to 0.8Q dd, the average water content is more than or equal to 85%, the well opening rate is more than or equal to 70%, and the liquid amount decreasing rate is less than or equal to 0.6D OO;
Insufficient supply Y 3: the average daily liquid yield is less than or equal to 1.25Q dd, the average water content is less than or equal to 90%, the well opening rate is more than or equal to 70%, and the liquid amount decreasing rate is more than or equal to 1.1D OO;
inefficiency well Y 4: average daily liquid yield is less than or equal to 0.8Q dd, average water content is less than or equal to 85%, well opening rate is less than or equal to 50%, and liquid amount decreasing rate is less than or equal to 0.6D OO;
Wherein Y 1、Y2、Y3、Y4 respectively refers to the corresponding classifications;
Q dd is the average value of average daily production fluid of all reference wells, and the unit is t; d OO is the average value of all reference well fluid quantity decreasing rates, and the unit is D -1;
s300, respectively establishing a discriminant function for each production characteristic type according to the classification result of the reference well;
the discriminant function is of formula (5):
Wherein: q d is average daily liquid, t/d; Average water content,%; η is the open well rate,%; d o is the liquid amount decrease rate D -1;
s400, substituting the single well production characteristic evaluation parameters of the target new well into the discriminant function to judge the production characteristic type of the target new well;
S500, calculating single well reservoir characteristic evaluation parameters of a new target well and each reference well according to perforation data and logging interpretation conclusion; calculating the average value of single well reservoir characteristic evaluation parameters of all reference wells, thereby establishing reservoir characteristic evaluation standards;
s600, evaluating the reservoir condition of the target new well according to the reservoir characteristic evaluation standard; counting the flooding conditions of each perforation section according to the comprehensive flooding interpretation conclusion of the target new well;
s700, judging the main purpose of new well adjustment according to the production characteristic type of the target new well; based on the main purpose of adjustment, reasonable adjustment measures are provided by combining the reservoir condition and the flooding condition of the target new well.
2. The method of analysis of claim 1, wherein the screening conditions of the reference well include:
The production wells with the time similar to the production time of the target new well, the same well pattern, the same development layer and the accumulated production days more than 3 months;
the number of the reference wells is more than or equal to 10.
3. The analysis method of claim 1, wherein the discriminant function is constructed using a Fisher discriminant analysis module in SPSS software.
4. The analysis method according to claim 1, wherein in S400, the single well production characteristic evaluation parameter of the target new well is substituted into the discriminant function to obtain Y 1、Y2、Y3、Y4, and the production characteristic type of the target new well is:
Y=max(Y1,Y2,Y3,Y4) (6)。
5. the analysis method of claim 4, wherein the calculation of the single well production profile evaluation parameters comprises:
1) Average daily liquid:
Wherein: q d is average daily liquid, t/d; n L is the accumulated liquid yield, t; t k is the number of days of open production, d;
2) Average water content:
Wherein: average water content,%; n w is the accumulated water yield, t;
3) Well opening rate:
wherein: η is the open well rate,%; t is the accumulated number of days of production, d;
4) Liquid amount decrease rate:
Making a LnQ-time t relation curve according to the production dynamic data, and obtaining a liquid amount reduction rate D o through a curve slope;
lnQ=lnQo-Dot (4)
Wherein: q is liquid yield, t/d; q o is the initial liquid yield in the decreasing stage, t/d; t is the number of days of production, d; d o is the liquid amount decreasing rate, D -1.
6. The analysis method of claim 1, wherein the single well reservoir characteristic evaluation parameters comprise: the total perforation thickness, the number of perforation segments, the average permeability of the perforation segments, the longitudinal permeability kick-in coefficient of the perforation segments, the injection and production correspondence degree and the injection and production sand body communication coefficient.
7. The analysis method of claim 6, wherein the reservoir characteristic evaluation criteria in S500 includes:
Perforation thickness h/m: high, h is more than or equal to 1.1h D, medium, 0.7h D<h<1.1hD, low, h is less than or equal to 0.7h D;
number of perforation segments N/number: high N is more than or equal to 1.1N D, medium N is 0.7N D<N<1.1ND, low N is less than or equal to 0.7N D;
Perforation segment average permeability k/mD: high, k is more than or equal to 1.1k D, medium, 0.7k D<k<1.1kD, low, k is less than or equal to 0.7k D;
Permeability snap factor M: high M is more than or equal to 1.1M D, medium M D<M<1.1MD and low M is less than or equal to 0.7M D;
Injection and production correspondence degree λ/%: high, lambda is more than or equal to 1.1 lambda D, medium, 0.7 lambda D<λ<1.1λD, low, lambda is less than or equal to 0.7 lambda D;
Injection and production sand body communication coefficient alpha: high, alpha is more than or equal to 1.1 alpha D, medium, 0.7 alpha D<α<1.1αD, low, alpha is less than or equal to 0.7 alpha D;
Wherein, the average value of all reference wells: total perforation thickness h D, number of perforation segments N D, average permeability k D of perforation segments, longitudinal permeability kick-in coefficient M D of perforation segments, injection and production correspondence lambda D and injection and production sand communication coefficient alpha D.
8. The analysis method of claim 7, wherein the calculation of the single well reservoir characteristic evaluation parameters comprises:
1) Total perforation thickness h: the sum of the thicknesses of the perforation sections;
2) Number of perforation segments N: the number of perforation segments;
3) Average permeability of perforation segment:
Wherein: k is the average permeability of the perforation section, mD; k i is the permeability, mD, of the ith perforation section of the well; h i is the thickness of the ith perforation section of the oil well, m; n is the number of perforation sections;
4) Perforation segment longitudinal permeability kick coefficient:
Wherein: m is the permeability burst coefficient, dimensionless; k max is the maximum permeability of the perforation section, mD;
5) Injection and production correspondence degree: the thickness of the oil well perforating section communicated with the surrounding water well sand body accounts for the percentage of the total perforating thickness;
wherein: h j is the thickness of a perforation section communicated with the surrounding water well sand body, m; n is the number of perforation sections communicated with surrounding water well sand bodies;
6) Injection and production sand body communication coefficient:
Wherein: z is the number of wells around the oil well, and the mouth of the well; l j is the distance between the j-th water well and the oil well, m; r is the number of perforation sections communicated with the sand body of the oil-water well; k i is the permeability, mD, of the ith perforation section of the well; h i is the thickness of the ith perforation section of the oil well, m; k wi is the permeability of the ith perforation section of the well, mD; h wi is the thickness of the ith perforation section of the well, m.
9. The analysis method according to claim 1, wherein in S600, counting the flooding conditions of each perforation segment according to the comprehensive flooding interpretation conclusion of the new well comprises:
Flooding with strong water, wherein the water content is more than or equal to 80%; water flooding in the water, 40% < water content <80%; weak flooding, the water content is less than or equal to 40 percent.
10. The analysis method as claimed in claim 9, wherein in S700, the determining of the main purpose of the new well adjustment according to the production characteristic type of the target new well is performed according to the following main purpose of the new well adjustment according to different production characteristic types:
high-medium and low-water content in Y 1: balanced displacement, preventing single-layer from protruding;
Y 2 class medium-high liquid high water content: plugging large pore channels or reducing the water injection quantity of a high-permeability layer;
y 3 type of insufficient liquid supply: supplementing formation energy;
y 4 class inefficiency well: enhancing the effect of the oil well.
11. The method of claim 10, wherein in S700, the reasonable adjustment measures are proposed in combination with reservoir conditions and flooding conditions of the target new well, according to the following adjustment measures and suggestions:
The perforation thickness is low: hole repairing of the oil well;
The number of perforation segments is low: hole repairing of the oil well;
The average permeability of the perforation section is low: fracturing;
The permeability burst coefficient is high: dispensing;
the injection and production correspondence degree is low: hole repairing of the water well;
The communication coefficient of the injection and production sand body is low: fracturing and hole repairing;
the flooding condition is a strong flooding perforation section: plugging and profile control of an oil well.
CN202010741935.0A 2020-07-29 2020-07-29 Analysis method for new well exploitation characteristics of old oil field Active CN114060014B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010741935.0A CN114060014B (en) 2020-07-29 2020-07-29 Analysis method for new well exploitation characteristics of old oil field

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010741935.0A CN114060014B (en) 2020-07-29 2020-07-29 Analysis method for new well exploitation characteristics of old oil field

Publications (2)

Publication Number Publication Date
CN114060014A CN114060014A (en) 2022-02-18
CN114060014B true CN114060014B (en) 2024-06-25

Family

ID=80226766

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010741935.0A Active CN114060014B (en) 2020-07-29 2020-07-29 Analysis method for new well exploitation characteristics of old oil field

Country Status (1)

Country Link
CN (1) CN114060014B (en)

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108229713A (en) * 2016-12-09 2018-06-29 中国石油化工股份有限公司 Fault block oil reservoir commingling production scheme optimization design method

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7280932B2 (en) * 2004-09-07 2007-10-09 Landmark Graphics Corporation Method, systems, and computer readable media for optimizing the correlation of well log data using dynamic programming
US8200465B2 (en) * 2008-06-18 2012-06-12 Terratek Inc. Heterogeneous earth models for a reservoir field
CN104653170A (en) * 2013-11-19 2015-05-27 中国石油化工股份有限公司 Method for calibrating recoverable reserve in ultra-high water containing stage
CN106285621A (en) * 2015-05-21 2017-01-04 中国石油化工股份有限公司 Method based on Multifactor Decision Making offshore oilfield new well in old district production capacity
CN104963657B (en) * 2015-05-27 2017-12-01 中国石油天然气股份有限公司 Oil reservoir numerical simulation method and device based on high water cut period monitoring data constraint
CN105160414B (en) * 2015-07-16 2019-05-07 中国石油天然气股份有限公司 Method and device for predicting type of full oil reservoir production area
CN109886559A (en) * 2019-01-25 2019-06-14 中国石油天然气集团有限公司 A kind of oil field Water Flooding Layer Fine structural interpretation and remaining oil comprehensive estimation method

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108229713A (en) * 2016-12-09 2018-06-29 中国石油化工股份有限公司 Fault block oil reservoir commingling production scheme optimization design method

Also Published As

Publication number Publication date
CN114060014A (en) 2022-02-18

Similar Documents

Publication Publication Date Title
CN112561356B (en) Comprehensive evaluation method for production dynamic mode and productivity of shale oil fracturing horizontal well
CN109184660B (en) Shale gas productivity evaluation method based on production logging information
CN108104806B (en) Quantitative analysis method for residual oil distribution rule
CN104747185A (en) Heterogeneous reservoir stratum synthetic classifying evaluation method
CN115345378B (en) Shale gas well yield evaluation method based on machine learning
CN109033541B (en) Method for evaluating heterogeneity of pressed shale gas reservoir based on EUR
CN108088779B (en) Reservoir space classification method for compact reservoir and conventional reservoir
CN108763751A (en) The bearing calibration of total hydrocarbon in gas logging data in a kind of petroleum geology well logging
CN114060014B (en) Analysis method for new well exploitation characteristics of old oil field
CN109356566B (en) Method for predicting blowout stop time of self-blowing production well in high water-containing stage in deepwater volatile oil field
CN111749688B (en) Method for predicting development position and direction of dominant seepage channel
CN107355200B (en) Method for improving water drive well selection by nano-micron particle dispersion system
CN112598247B (en) Improved method of reservoir classification evaluation system
CN116562428A (en) Fracturing construction parameter optimization method based on machine learning
CN109281660B (en) Method for determining well control reserves of fracture-cave oil reservoir
CN115905917A (en) Method for constructing classification curve of sea area low permeability gas layer by integrating static and dynamic data
CN115964961A (en) Horizontal well water plugging and well selection decision-making method
CN115705452A (en) Novel recovery ratio prediction method for middle and later stages of integrated sandstone reservoir development
CN112465218A (en) Offshore thin interbed sandstone oil field layer system partitioning and perforation scheme optimization method
CN115640488A (en) Method for determining water content rise rate evaluation standard
CN113818859B (en) Limiting well spacing determining method, judging method and device for low-permeability oil reservoir
CN117668946A (en) Production allocation method for carbonate gas reservoir gas well
CN114169616A (en) Method for distinguishing low-yield and low-efficiency well
He et al. Study and application of the technology of subdivision controlled limited entry fracturing in reservoir with many thin layers
CN117406297A (en) Identification method for lower limit of effective interlayer thickness of land shale

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant