Side drilling well selection optimization method
阅读说明：本技术 一种侧钻选井优选方法 (Side drilling well selection optimization method ) 是由 王晶 张原立 万晓龙 李文青 李宇征 张皎生 王萍 曹军 欧泉旺 谭习群 宋磊 于 2020-10-15 设计创作，主要内容包括：本发明提供了一种侧钻选井优选方法,包括收集影响侧钻效果的参数,根据矿场实践和油藏实际,给各参数赋值,应用灰色关联法确定各参数权重,计算所述目标井决策系数,对目标井决策系数进行分级。应用聚类分析法,结合油田开发水平分级、三叠系油藏开发实践得到了影响侧钻效果的主要因素：目前剩余油饱和度、邻井单井控制储量、邻井累积产油量、裂缝发育程度、邻井射孔厚度、邻井油层厚度、距水线距离、邻井综合含水、原始含油饱和度。该方法创新的提出了对侧钻选井进行定量评价,优化侧钻井的选择。本方法适用于三叠系长4+5、长6、长8注水开发油藏侧钻井的选择。(The invention provides a sidetracking well selection optimization method which comprises the steps of collecting parameters influencing sidetracking effects, assigning values to the parameters according to mine field practices and oil reservoir practices, determining weights of the parameters by using a grey correlation method, calculating decision coefficients of target wells and grading the decision coefficients of the target wells. The main factors influencing the sidetracking effect are obtained by applying a cluster analysis method and combining oil field development horizontal grading and three-stacking system oil reservoir development practices: at present, the saturation of residual oil, the single well control reserve of an adjacent well, the accumulated oil production of the adjacent well, the development degree of a crack, the perforation thickness of the adjacent well, the oil layer thickness of the adjacent well, the distance from a waterline, the comprehensive water content of the adjacent well and the original oil saturation. The method innovatively provides quantitative evaluation for selecting the sidetracking well and optimizes selection of the sidetracking well. The method is suitable for selection of side drilling wells of three-stacked system water injection exploitation oil reservoirs with length of 4+5, length of 6 and length of 8.)
1. A side-drilling well selection method is characterized by comprising the following steps:
step 1) collecting residual oil distribution map of oil deposit of target well, and controlling recoverable reserve of adjacent well by single wellN djr Cumulative oil production of adjacent wellQ 0 Degree of crack developmentFPerforation thickness of adjacent wellH s Oil layer thickness of adjacent wellHDistance from waterlineL s Comprehensive water content of adjacent wellF w Original oil saturationS oi Obtaining residual oil saturation through residual oil distribution diagram of oil reservoirS 0 ；
Step 2) controlling recoverable reserves according to adjacent wells and single wellN djr And cumulative oil production of adjacent wellsQ 0 Obtaining the coefficient of residual recoverable reserveD；
Step 3) according to the thickness of an oil layer of an adjacent wellHAnd perforation thickness of adjacent wellH s Obtaining the residual perforation thickness coefficient of the oil layerB；
Step 4) respectively comparing the residual recoverable reserve coefficientDAnd residual perforation thickness coefficient of oil layerBGrading and assigning;
step 5) separately adjusting the residual oil saturationS 0 Degree of crack developmentFDistance from waterlineL s Comprehensive water content of adjacent wellF w And original oil saturationS oi Performing classification endowmentDividing;
step 6) determining the residual recoverable reserve coefficient respectivelyDResidual perforation thickness coefficient of oil layerBResidual oil saturationS 0 Degree of crack developmentFDistance from waterlineL s Comprehensive water content of adjacent wellF w And original oil saturationS oi Weight coefficient of seven parametersP i ，iThe number is a parameter number, and the value is 1-7;
step 7) adding the products of the scores of the seven parameters and the respective weights to obtain a decision coefficientJCoefficient of decisionJThe value range is 0-1;
step 8) when decision coefficientJNot less than 0.7, which is class I; j is more than or equal to 0.4 and less than 0.7, and is type II; j is less than 0.4, and is III;
step 9) the types I and II are suitable for sidetracking; class iii is not suitable for sidetracking.
2. The sidetracking well selection method according to claim 1, characterized in that: coefficient of remaining recoverable reserve in step 2)DControlling recoverable reserves for adjacent wells for a single wellN djr And cumulative oil production of adjacent wellsQ 0 The difference value of the two is compared with the ratio of the recoverable reserves of the adjacent well single well,D=（N djr - Q 0 ）/N djr 。
3. the sidetracking well selection method according to claim 1, characterized in that: thickness coefficient of residual perforation of oil layer in step 3)BIs the thickness of the oil reservoir of the adjacent wellHAnd perforation thickness of adjacent wellH s Difference of (D) and thickness of oil layer of adjacent wellHThe ratio of (a) to (b),B=（H-H s ）/H。
4. the sidetracking well selection method according to claim 1, characterized in that: coefficient of remaining recoverable reserve in step 4)DAnd residual perforation thickness coefficient of oil layerBThe grading standard is as follows:
when in useD<0.3 hour, score 1Is 0; 0.3-0.3 ≤D<0.5, score value 1Is 0.5;Dwhen the value is more than or equal to 0.5, the score is 1Is 1;
when in useB<0.4 hour, score 2Is 0; 0.4-0.4 ≤B<0.6, score value 2Is 0.6;Bwhen the value is more than or equal to 0.6, the score isIs 1.
5. The sidetracking well selection method according to claim 1, characterized in that: residual oil saturation in step 5)S 0 And degree of crack developmentFThe grading standard is as follows:
when in use<At 30%, score 3Is 0; 30 percent of<<50% score value 3Is 0.5;>at 50%, score 3Is 1;
degree of crack developmentFScore of (1) 4Comprises the following steps: when the crack develops1, when the crack is more developed0.5, when cracks do not developIs 0.
6. The sidetracking well selection method according to claim 1, characterized in that: distance from waterline in step 5)L s Comprehensive water content of adjacent wellF w And original oil saturationS oi The grading standard is as follows:
when 100 <L s Time, score value 5Is 0; 100 is less than or equal toL s <150, score valueIs 0.5;L s is 100 hoursScore valueIs 1;
when in use≥60%， 6Is 0, 40 percent or less＜60%， 6Is 0.3 percent and less than or equal to 20 percent＜40%， 6The content of the organic acid is 0.5,F w ＜20%， 6is 1;
when in use<At 30%, score 7Is 0; 30 percent of<S oi <50% score valueIs 0.5;S oi >at 50%, scoreIs 1.
7. The sidetracking well selection method according to claim 1, characterized in that: coefficient of remaining recoverable reserve in step 6)DResidual perforation thickness coefficient of oil layerBResidual oil saturationS 0 Degree of crack developmentFDistance from waterlineL s Comprehensive water content of adjacent wellF w And original oil saturationS oi The weight coefficients of (a) are 0.13, 0.12, 0.15, 0.14, 0.15, 0.16, 0.15, respectively.
8. The sidetracking well selection optimization method according to claim 1, wherein the decision coefficientJCalculated as follows:
J=S1×P 1 + S2×P 2 + S3×P 3 + S4×P 4 + S5×P 5 + S6×P 6 + S7×P 7
in the formula (I), the compound is shown in the specification, 1coefficient of remaining recoverable reserveDThe score of (a) is calculated,P 1 coefficient of remaining recoverable reserveDThe weight coefficient of (a); 2is residual perforation thickness coefficient of oil layerBThe score of (a) is calculated,P 2 is residual perforation thickness coefficient of oil layerBThe weight coefficient of (a); 3is degree of remaining oil saturationS 0 The score of (a) is calculated,P 3 is degree of remaining oil saturationS 0 The weight coefficient of (a); 4degree of development of cracksFThe score of (a) is calculated,P 4 degree of development of cracksFThe weight coefficient of (a); 5is distance from waterlineL s The score of (a) is calculated,P 5 is distance from waterlineL s The weight coefficient of (a); 6for synthesizing water for adjacent wellF w The score of (a) is calculated,P 6 for synthesizing water for adjacent wellF w The weight coefficient of (a); 7is original oil saturationS oi The score of (a) is calculated,P 7 is original oil saturationS oi The weight coefficient of (2).
Technical Field
The invention belongs to the technical field of oilfield development, and particularly relates to a sidetracking well selection optimization method which is used for rapidly screening sidetracking wells by using dynamic and static data.
Background
In the low-permeability oil-gas field, because the abundance of the stratum is low and the effective connectivity of pores is poor, a plurality of enriched oil-gas areas cannot be effectively communicated with oil-gas wells, so that a plurality of resources are retained in the stratum, and a plurality of production wells are forcedly closed due to water rising or are subjected to underground casing breakage, casing deformation and falling, so that the production wells cannot normally produce, and a plurality of resources cannot be excavated.
The sidetracking can solve the problems, can achieve the aim of excavating residual oil, can effectively utilize an original shaft and a well field, avoids an accident section and a water outlet layer, and is used for drilling an oil-gas enrichment area in a geological guiding manner, can flexibly adjust the well type into a straight well, a directional well, a horizontal well and the like, can relate to the oil-gas accumulation area in a large area, and has the characteristics of short drilling period, low cost, short investment recovery period, quick oil well recovery, large sweep range, small formation damage and the like.
The traditional well selection method is that an oil field engineer selects a well according to experience and related dynamic and static data, and has the main defects of large workload, strong subjectivity and difficult popularization and application.
Disclosure of Invention
The invention aims to provide a side drilling well selection optimization method, which overcomes the technical problems in the prior art.
Therefore, the technical scheme provided by the invention is as follows:
a side-drilling well selection method comprises the following steps:
step 1) collecting residual oil distribution map of oil deposit of target well, and controlling recoverable reserve of adjacent well by single wellN djr Cumulative oil production of adjacent wellQ 0 Degree of crack developmentFPerforation thickness of adjacent wellH s Oil layer thickness of adjacent wellHDistance from waterlineL s Comprehensive water content of adjacent wellF w Original oil saturationS oi Obtaining residual oil saturation through residual oil distribution diagram of oil reservoirS 0 ；
Step 2) controlling recoverable reserves according to adjacent wells and single wellN djr And cumulative oil production of adjacent wellsQ 0 Obtaining the coefficient of residual recoverable reserveD；
Step 3) according to the thickness of an oil layer of an adjacent wellHAnd perforation thickness of adjacent wellH s Obtaining the residual perforation thickness coefficient of the oil layerB；
Step 4) respectively comparing the residual recoverable reserve coefficientDAnd residual perforation thickness coefficient of oil layerBGrading and assigning;
step 5) separately adjusting the residual oil saturationS 0 Degree of crack developmentFDistance from waterlineL s Comprehensive water content of adjacent wellF w And original oil saturationS oi Grading and assigning;
step 6) determining the residual recoverable reserve coefficient respectivelyDResidual perforation thickness coefficient of oil layerBResidual oil saturationS 0 Degree of crack developmentFDistance from waterlineL s Comprehensive water content of adjacent wellF w And original oil saturationS oi Weight coefficient of seven parametersP i ，iThe number is a parameter number, and the value is 1-7;
step 7) seven itemsThe products of the scores of the parameters and the respective weights are added to obtain a decision coefficientJCoefficient of decisionJThe value range is 0-1;
step 8) when decision coefficientJNot less than 0.7, which is class I; j is more than or equal to 0.4 and less than 0.7, and is type II; j is less than 0.4, and is III;
step 9) the types I and II are suitable for sidetracking; class iii is not suitable for sidetracking.
Coefficient of remaining recoverable reserve in step 2)DControlling recoverable reserves for adjacent wells for a single wellN djr And cumulative oil production of adjacent wellsQ 0 The difference value of the two is compared with the ratio of the recoverable reserves of the adjacent well single well,D=（N djr - Q 0 ）/N djr 。
thickness coefficient of residual perforation of oil layer in step 3)BIs the thickness of the oil reservoir of the adjacent wellHAnd perforation thickness of adjacent wellH s Difference of (D) and thickness of oil layer of adjacent wellHThe ratio of (a) to (b),B=（H-H s ）/ H。
coefficient of remaining recoverable reserve in step 4)DAnd residual perforation thickness coefficient of oil layerBThe grading standard is as follows:
when in useD<0.3 hour, score 1Is 0; 0.3-0.3 ≤D<0.5, score value 1Is 0.5;Dwhen the value is more than or equal to 0.5, the score is 1Is 1;
when in useB<0.4 hour, score 2Is 0; 0.4-0.4 ≤B<0.6, score value 2Is 0.6;Bwhen the value is more than or equal to 0.6, the score isIs 1.
Residual oil saturation in step 5)S 0 And degree of crack developmentFThe grading standard is as follows:
when in use<At 30%, score 3Is 0; 30 percent of<<50% score value 3Is 0.5;>at 50%, score 3Is 1;
degree of crack developmentFScore of (1) 4Comprises the following steps: when the crack develops1, when the crack is more developed0.5, when cracks do not developIs 0.
Distance from waterline in step 5)L s Comprehensive water content of adjacent wellF w And original oil saturationS oi The grading standard is as follows:
when 100 <L s Time, score value 5Is 0; 100 is less than or equal toL s <150, score valueIs 0.5;L s when it is 100, scoreIs 1;
when in use≥60%， 6Is 0, 40 percent or less＜60%， 6Is 0.3 percent and less than or equal to 20 percent＜40%， 6The content of the organic acid is 0.5,F w ＜20%， 6is 1;
when in use<At 30%, score 7Is 0; 30 percent of<S oi <50% score valueIs 0.5;S oi >at 50%, scoreIs 1.
Coefficient of remaining recoverable reserve in step 6)DResidual perforation thickness coefficient of oil layerBResidual oil saturationS 0 Degree of crack developmentFDistance from waterlineL s Comprehensive water content of adjacent wellF w And original oil saturationS oi The weight coefficients of (a) are 0.13, 0.12, 0.15, 0.14, 0.15, 0.16, 0.15, respectively.
Coefficient of decisionJCalculated as follows:
J=S1×P 1 + S2×P 2 + S3×P 3 + S4×P 4 + S5×P 5 + S6×P 6 + S7×P 7
in the formula (I), the compound is shown in the specification, 1coefficient of remaining recoverable reserveDThe score of (a) is calculated,P 1 coefficient of remaining recoverable reserveDThe weight coefficient of (a); 2is residual perforation thickness coefficient of oil layerBThe score of (a) is calculated,P 2 residual perforation thickness system for oil layerNumber ofBThe weight coefficient of (a); 3is degree of remaining oil saturationS 0 The score of (a) is calculated,P 3 is degree of remaining oil saturationS 0 The weight coefficient of (a); 4degree of development of cracksFThe score of (a) is calculated,P 4 degree of development of cracksFThe weight coefficient of (a); 5is distance from waterlineL s The score of (a) is calculated,P 5 is distance from waterlineL s The weight coefficient of (a); 6for synthesizing water for adjacent wellF w The score of (a) is calculated,P 6 for synthesizing water for adjacent wellF w The weight coefficient of (a); 7is original oil saturationS oi The score of (a) is calculated,P 7 is original oil saturationS oi The weight coefficient of (2).
The invention has the beneficial effects that:
the sidetracking well selection optimization method provided by the invention obtains main factors influencing the sidetracking effect by applying a cluster analysis method and combining oil field development horizontal grading and three-stacked system oil reservoir development practices: at present, the saturation of residual oil, the single well control reserve of an adjacent well, the accumulated oil production of the adjacent well, the development degree of a crack, the perforation thickness of the adjacent well, the oil layer thickness of the adjacent well, the distance from a waterline, the comprehensive water content of the adjacent well and the original oil saturation. And then according to the mine field practice and the oil reservoir practice, assigning values to the parameters, determining the weight of each parameter by using a gray correlation method, calculating the decision coefficient of the target well, grading the decision coefficient of the target well, establishing a standardized and quantified selection standard of the sidetracking well, optimizing the selection of the sidetracking well, and having strong operability and higher calculation result and field cognition so as to provide support for later-stage oil field stable production work.
The following will be described in further detail with reference to the accompanying drawings.
Drawings
FIG. 1 is a graph of the production dynamics of well A in the examples.
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will become apparent to those skilled in the art from the present disclosure.
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
Example 1:
the embodiment provides a side drilling well selection method, which comprises the following steps:
step 1) collecting residual oil distribution map of oil deposit of target well, and controlling recoverable reserve of adjacent well by single wellN djr Cumulative oil production of adjacent wellQ 0 Degree of crack developmentFPerforation thickness of adjacent wellH s Oil layer thickness of adjacent wellHDistance from waterlineL s Comprehensive water content of adjacent wellF w Original oil saturationS oi Obtaining residual oil saturation through residual oil distribution diagram of oil reservoirS 0 ；
Step 2) controlling recoverable reserves according to adjacent wells and single wellN djr And cumulative oil production of adjacent wellsQ 0 Obtaining the coefficient of residual recoverable reserveD；
Step 3) according to the thickness of an oil layer of an adjacent wellHAnd perforation thickness of adjacent wellH s Obtaining the residual perforation thickness coefficient of the oil layerB；
Step 4) respectively comparing the residual recoverable reserve coefficientDAnd residual perforation thickness coefficient of oil layerBGrading and assigning;
step 5) separately adjusting the residual oil saturationS 0 Degree of crack developmentFDistance from waterlineL s Comprehensive water content of adjacent wellF w And original oil saturationS oi Grading and assigning;
step 6) determining the residual recoverable reserve coefficient respectivelyDResidual perforation thickness coefficient of oil layerBResidual oil saturationS 0 Degree of crack developmentFDistance from waterlineL s Comprehensive water content of adjacent wellF w And original oil saturationS oi Weight coefficient of seven parametersP i ，iThe number is a parameter number, and the value is 1-7;
step 7) adding the products of the scores of the seven parameters and the respective weights to obtain a decision coefficientJCoefficient of decisionJThe value range is 0-1;
step 8) when decision coefficientJNot less than 0.7, which is class I; j is more than or equal to 0.4 and less than 0.7, and is type II; j is less than 0.4, and is III;
step 9) the types I and II are suitable for sidetracking; class iii is not suitable for sidetracking.
The method obtains parameters influencing the sidetracking effect by using a cluster analysis method, obtains the weight of each parameter by using a grey correlation method, establishes a standardized and quantified sidetracking well selection standard, optimizes sidetracking well selection, and has strong operability.
Example 2:
on the basis of the embodiment 1, the embodiment provides a preferable method for selecting a well by sidetracking, and the coefficient of the residual recoverable reserves in the step 2)DControlling recoverable reserves for adjacent wells for a single wellN djr And cumulative oil production of adjacent wellsQ 0 The difference value of the two is compared with the ratio of the recoverable reserves of the adjacent well single well,D=（N djr - Q 0 ）/N djr 。
thickness coefficient of residual perforation of oil layer in step 3)BIs the thickness of the oil reservoir of the adjacent wellHAnd perforation thickness of adjacent wellH s Difference of (D) and thickness of oil layer of adjacent wellHThe ratio of (a) to (b),B=（H-H s ）/ H。
example 3:
on the basis of the embodiment 1 or 2, the embodiment provides a preferable method for selecting the well by sidetracking, and the coefficient of the residual recoverable reserve in the step 4)DAnd residual perforation thickness coefficient of oil layerBThe grading standard is as follows:
when in useD<0.3 hour, score 1Is 0; 0.3-0.3 ≤D<0.5, score value 1Is 0.5;Dwhen the value is more than or equal to 0.5, the score is 1Is 1;
when in useB<0.4 hour, score 2Is 0; 0.4-0.4 ≤B<0.6, score value 2Is 0.6;Bwhen the value is more than or equal to 0.6, the score isIs 1.
Example 4:
on the basis of the embodiment 1, the embodiment provides a preferable method for sidetracking well selection, and the residual oil saturation in the step 5) isS 0 And degree of crack developmentFThe grading standard is as follows:
when in use<At 30%, score 3Is 0; 30 percent of<<50% score value 3Is 0.5;>at 50%, score 3Is 1;
degree of crack developmentFScore of (1) 4Comprises the following steps: when the crack develops1, when the crack is more developed0.5, when cracks do not developIs 0.
And grading the crack development degree F by utilizing the logging data, the dynamic monitoring data and the production data and comprehensively considering natural microcracks, dynamic cracks and the like.
Example 5:
on the basis of the embodiment 1, the embodiment provides a preferable method for selecting the well by sidetracking, and the distance from the waterline in the step 5) isL s Comprehensive water content of adjacent wellF w And original oil saturationS oi The grading standard is as follows:
when 100 <L s Time, score value 5Is 0; 100 is less than or equal toL s <150, score valueIs 0.5;L s when it is 100, scoreIs 1;
when in use≥60%， 6Is 0, 40 percent or less＜60%， 6Is 0.3 percent and less than or equal to 20 percent＜40%， 6The content of the organic acid is 0.5,F w ＜20%， 6is 1;
when in use<At 30%, score 7Is 0; 30 percent of<S oi <50% score valueIs 0.5;S oi >at 50%, scoreIs 1.
Wherein, the distance from the waterlineL s Reflecting the risk of sidetracking implementation. Combined with mine practice, for distance from waterlineL s Grading and assigning.
Comprehensive water content of adjacent wellF w Reflecting the risk of sidetracking implementation, is inversely related to sidetracking matching. Grading method for water content of oil field based on water injection development, and combining with mine field practice to synthesize water contentF w Grading and assigning.
Example 6:
on the basis of the embodiment 1, the embodiment provides a preferable method for selecting a well by sidetracking, and the coefficient of the residual recoverable reserve in the step 6)DResidual perforation thickness coefficient of oil layerBResidual oil saturationS 0 Degree of crack developmentFDistance from waterlineL s Comprehensive water content of adjacent wellF w And original oil saturationS oi The weight coefficients of (a) are 0.13, 0.12, 0.15, 0.14, 0.15, 0.16, 0.15, respectively.
Coefficient of decisionJCalculated as follows:
J=S1×P 1 + S2×P 2 + S3×P 3 + S4×P 4 + S5×P 5 + S6×P 6 + S7×P 7
in the formula (I), the compound is shown in the specification, 1coefficient of remaining recoverable reserveDThe score of (a) is calculated,P 1 coefficient of remaining recoverable reserveDThe weight coefficient of (a); 2is residual perforation thickness coefficient of oil layerBThe score of (a) is calculated,P 2 is residual perforation thickness coefficient of oil layerBThe weight coefficient of (a); 3is degree of remaining oil saturationS 0 The score of (a) is calculated,P 3 is degree of remaining oil saturationS 0 The weight coefficient of (a); 4degree of development of cracksFThe score of (a) is calculated,P 4 degree of development of cracksFThe weight coefficient of (a); 5is distance from waterlineL s The score of (a) is calculated,P 5 is distance from waterlineL s The weight coefficient of (a); 6for synthesizing water for adjacent wellF w The score of (a) is calculated,P 6 for synthesizing water for adjacent wellF w The weight coefficient of (a); 7is original oil saturationS oi The score of (a) is calculated,P 7 is original oil saturationS oi The weight coefficient of (2).
Determining the weight coefficient of the 7 parameters by using a gray correlation methodP 1 - P 7 . The sum of the products of the above 7 parameter scores and the respective weights is the final decision coefficientJ。
Coefficient of decisionJThe value is in the range of 0 to 1,Jnot less than 0.7, which is class I; 0.4-0.4 ≤JLess than 0.7, is type II;Jless than 0.4, is of type III,Jthe higher the value, the better the sidetracking effect of the target well is;Jvalues below 0.4 are not recommended for sidetracking.
Example 7:
based on example 1, this example takes a certain waterflood reservoir a well as an example, and further details the method.
Selecting a certain water injection oil reservoir A well, and calculating a decision coefficient of a target well according to the method, wherein the method comprises the following steps:
step 1) collecting the residual oil distribution map of the oil reservoir where the target well is located to obtain the current oil saturationS 0 Controlling recoverable reserves for 50% of adjacent wellsN djr The cumulative oil production of an adjacent well is 42000tQ 0 10000t, degree of crack developmentF isRelatively developed crack and perforation thickness of adjacent wellH s 4m, the thickness of an oil layer of an adjacent wellHIs 11.5m away from the waterlineL s The water content of 135m and an adjacent well is comprehensively increasedF w 50% of original oil saturationS oi 70 percent;
step 2) calculating the residual recoverable storageCoefficient of measureD: adjacent well single well control recoverable reserveN djr And cumulative oil production of adjacent wellsQ 0 Controlling recoverable reserves by dividing difference by adjacent wellN dj ；
Step 3) calculating the residual perforation thickness coefficient of the oil layerB: thickness of oil layer of adjacent wellHThickness of perforation of adjacent wellH s Is divided by the thickness of the adjacent well reservoirH；
Step 4) respectively comparing the residual recoverable reserve coefficientDAnd residual perforation thickness coefficient of oil layerBGrading and assigning points;
S1=1，S2=1；
step 5) separately adjusting the residual oil saturationS 0 Degree of crack developmentFDistance from waterlineL s Comprehensive water content of adjacent wellF w And original oil saturationS oi Grading and assigning;
S3=1；S4=0.5；S5=0.5；S6=0.3；S7=1；
step 6) determining the residual recoverable reserve coefficient respectivelyDResidual perforation thickness coefficient of oil layerBResidual oil saturationS 0 Degree of crack developmentFDistance from waterlineL s Comprehensive water content of adjacent wellF w And original oil saturationS oi The weight coefficients of the seven parameters are determined,P 1 the content of the organic acid was 0.13,P 2 the content of the organic acid was 0.12,P 3 the content of the organic acid is 0.15,P 4 is a content of at least 0.14,P 5 the content of the organic acid is 0.15,P 6 the content of the carbon dioxide is 0.16,P 7 is 0.15;
step 7) calculating a target well decision coefficientJ=0.743：
And 8) the target oil reservoir is of type I, and the predicted sidetracking effect is good.
And (3) field implementation:
a well starts sidetracking in 2019 and 4 months, daily produced liquid is 3.2t at the initial stage of production, daily produced oil is 2.77t, and comprehensive water content is 13.4%; at present, the daily liquid yield is 1.68t, the daily oil yield is 1.52t, the comprehensive water content is 9.5 percent, and the current cumulative oil yield is 782 t. The current production is stable (see figure 1), and the sidetracking effect is good. Consistent with the predicted results.
The method is suitable for selection of side drilling wells of three-stacked system water injection exploitation oil reservoirs with length of 4+5, length of 6 and length of 8.
The above examples are merely illustrative of the present invention and should not be construed as limiting the scope of the invention, which is intended to be covered by the claims and any design similar or equivalent to the scope of the invention.
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