CN117823126A - Characterization and diving method for residual oil of massive bottom water reservoir - Google Patents
Characterization and diving method for residual oil of massive bottom water reservoir Download PDFInfo
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- 230000009189 diving Effects 0.000 title claims description 7
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Abstract
A method for characterizing and digging residual oil of a blocky bottom water oil reservoir belongs to the field of oil reservoir engineering, and comprises the following steps: dynamically analyzing an actual production well by using a geological feature analysis result to determine water influence factors; analyzing the water outlet influence factors at different stages by using an analytic hierarchy process to obtain weight values of the influence of each water outlet influence factor on the actual production well yield; calculating the sum of weight values corresponding to the water outlet influence factors according to the weight values to obtain the comprehensive score of each water outlet influence factor; calculating a difference value by utilizing the comprehensive score to obtain a target well region risk distribution value; establishing a fine numerical simulation model of the target well region, and analyzing the distribution rule of the residual oil; and (5) deploying the well position of the new well according to the water outlet influence factors and the analysis result of the distribution rule of the residual oil. The invention combines the characterization of the residual oil with the digging of the well, saves the well selecting time, improves the success rate of new well and measure screening, and ensures the economical efficiency and the high efficiency of project operation.
Description
Technical Field
The invention belongs to the technical field of oil reservoir engineering, and particularly relates to a method for representing and digging residual oil of a block-shaped bottom water oil reservoir.
Background
The distribution of the residual oil in the oil field in the high water-cut period is very complex, the difficulty of measure mining is greater and greater, and the key of stable production of the oil field depends on deep understanding and reconsideration of the residual oil. At present, various methods are generally applied to research on the residual oil so as to achieve the aim of improving the saturation precision of the residual oil. The method which is commonly used for researching the residual oil at home and abroad mainly comprises the following inoculation: the method has great advantages in cost and efficiency, and the method for controlling the abundance of the residual oil by utilizing multiple parameters is widely applied from the aspect of the existing examples of numerical simulation research of the residual oil. In order to improve the success rate of the residual oil mining and reduce the implementation risk, the oil reservoir engineer mostly considers to correct the residual oil reserve abundance by utilizing parameters such as the oil-water flow ratio, the pressure change, the residual recoverable oil saturation and the like. Because the distribution of the residual oil is complex and the influence factors are more, the underground evaluation is mainly performed, the influence of the ground and underground complex conditions is ignored in the well selection process, and the economic benefit is difficult to ensure after implementation.
In summary, there is no optimal method for the study of the remaining oil.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides a method for representing and digging residual oil of a block-shaped bottom water reservoir.
The technical scheme adopted by the invention for solving the technical problems is as follows:
the invention relates to a method for characterizing and digging residual oil of a block bottom water reservoir, which comprises the following steps:
step S1: analyzing geological features;
step S2: dynamically analyzing an actual production well by using a geological feature analysis result to determine the water outlet reason of the high-water-content well and determine water outlet influence factors;
step S3: analyzing the water outlet influence factors at different stages by using an analytic hierarchy process to obtain the weight value of the influence of each water outlet influence factor on the actual production well yield, thereby determining the dimensionless influence degree of each water outlet influence factor on the actual production well yield;
step S4: calculating the sum of the weight values corresponding to the water outlet influence factors according to the weight values of the water outlet influence factors on the actual production well output, so as to obtain the comprehensive score of each water outlet influence factor; calculating the difference value by utilizing the comprehensive score to finally obtain a target well region risk distribution value;
step S5: establishing a fine numerical simulation model of the target well region, and analyzing the distribution rule of the residual oil on the basis of high-precision numerical simulation;
step S6: and (5) deploying the well position of the new well according to the water outlet influence factors and the analysis result of the distribution rule of the residual oil.
Further, in step S2, dynamic analysis is performed in combination with production dynamic data, water-oil ratio and its derivative, oil reservoir profile, and well cementation quality, the water outlet cause of the high water-containing well is clarified, the water outlet influence factors are determined, and finally, the water outlet influence factors of all the determined different stages of the high water-containing well are counted and summarized.
Further, in step S2, the water outlet influencing factors include: (1) is mainly affected by side water; (2) is mainly affected by bottom water; (3) is mainly influenced by flooding of adjacent wells; (4) the flooding layer is mainly opened; (5) the transition zone is mainly opened.
Further, in step S3, all wells with the same cut-off date are selected, the production of each well in each stage is calculated, and the total production of each stage is divided by the production of the wells to obtain a weight value of the influence of each water-out influence factor in each stage on the actual production well production.
Further, in step S5, a history fitting method is used to perform history fitting on the liquid production, the oil production and the water content of the block, and a fine numerical simulation model of the target well area is established according to the history fitting result.
The beneficial effects of the invention are as follows:
compared with the existing residual oil characterization and mining method, the method can accurately deploy the well position of the residual oil potential area, effectively guide the next mining direction by combining the ground and the risks existing on the ground, determine the implementation priority of the target well and the risks existing on the target well, ensure the optimal economic benefit in the project operation process, and have wide application prospects.
In addition, the invention combines the characterization of the residual oil and the risk of digging, thus not only improving the scientificity and objectivity of well selection, but also saving the well selection time, improving the success rate of well selection and improving the development effect of oil fields.
Drawings
FIG. 1 is a flow chart of a method for characterizing and diving residual oil in a block bottom water reservoir according to the present invention.
FIG. 2 is a graph of water-oil ratio and its derivative.
FIG. 3 is a cross-sectional view of a reservoir.
Fig. 4 is a history fit result.
FIG. 5 is a fine numerical simulation model of a target well zone.
Fig. 6 shows the result of analysis of the residual oil distribution law, wherein a is the original water saturation distribution and B is the current water saturation distribution.
Fig. 7 is a new well site deployment diagram.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The invention is based on comprehensive geological feature analysis, develops dynamic analysis of oil well production, and determines the water outlet cause of each well; on the basis of high-precision numerical simulation, researching the distribution rule of the residual oil is developed; and (3) integrating the water outlet reasons and the research results of the distribution rules of the residual oil, developing the well position deployment of a new well, and improving the development effect of an oil field.
Referring to fig. 1 for explanation, the method for characterizing and diving remaining oil of a block bottom water reservoir provided by the invention specifically comprises the following steps:
step S1: analyzing geological features;
and (3) inputting seismic data, a single well logging curve, drilling data and the like by using Petrel software, carrying out reservoir inversion and oil reservoir characteristic research, obtaining the thickness, the spreading range, the porosity, the permeability, the initial water saturation and the like of an oil layer, and determining the material foundation of the reservoir.
Step S2: and dynamically analyzing the actual production well by using the geological feature analysis result to determine the water outlet reason of the high-water-content well and determine the water outlet influence factors. The specific operation flow is as follows:
when the dynamic analysis is carried out on the actual production well, the dynamic analysis is mainly carried out on the problem well in the actual production well, namely the high water content well, and the water outlet reason of the problem well is found out.
In combination with production dynamic data (daily production fluid, daily oil, daily water, pressure and the like), water-oil ratio and derivatives thereof (as shown in fig. 2, according to the ratio of daily water to daily oil and derivatives thereof, if the derivatives are-1, water coning is judged to be mainly caused to rise by water coning, if the derivatives are +1, water coning is judged to be mainly caused to rise by water coning), oil reservoir profile (as shown in fig. 3, oil reservoir profile, production dynamic, water-oil ratio derivatives and the like are comprehensively judged, ELTOOR-1 well water rising is mainly influenced by water invasion of a B1C layer, wherein AM-A, AM-B, AE and AF respectively represent small layer names, ELTOOR-1 and ELTOOR-21 respectively represent well names), well cementation quality and the like, water outlet reasons of the high water wells are determined, water outlet influence factors are determined, and finally all water outlet influence factors of the high water wells at different stages are counted and summarized, as shown in table 1. In Table 1, ET-01/02/05/12 are well names representing oil wells. The numbers 1-6 refer to the number of wells that are primarily affected by a factor that results in an increase in water.
According to the analysis results, the water outlet influence factors of the high-water-content well are as follows:
(1) is mainly affected by side water;
(2) is mainly affected by bottom water;
(3) is mainly influenced by flooding of adjacent wells;
(4) the flooding layer is mainly opened;
(5) the transition zone is mainly opened.
TABLE 1 analysis results of water outlet cause
Step S3: and analyzing the water outlet influence factors at different stages by using an analytic hierarchy process to obtain the weight value of the influence of each water outlet influence factor on the actual production well yield, thereby determining the dimensionless influence degree of each water outlet influence factor on the actual production well yield. The specific operation flow is as follows:
and selecting all the oil wells on the same production deadline, calculating the yield of each oil well in each stage, and dividing the yield of each stage by the total yield of the oil wells to obtain the weight value of the influence of each water outlet influence factor in each stage on the actual production well yield.
In the following examples, the total production of the oil well is a, the first stage is mainly affected by the side water, the production is B, the second stage is mainly affected by the bottom water, the production is C, and the relation between the production is a=b+c, then the weight of the influence of the side water of the first stage on the actual production well is B/a, and the weight of the influence of the bottom water of the second stage on the actual production well is C/a.
Step S4: calculating the sum of the weight values corresponding to the water outlet influence factors according to the weight values of the water outlet influence factors, which are obtained in the step S3, on the actual production well yield influence, so as to obtain the comprehensive score of each water outlet influence factor; and then, calculating a difference value by utilizing the comprehensive score, and finally obtaining the risk distribution value of the target well region.
Step S3 and step S4 are described below by way of example. The weight values of the influence of each water-out influencing factor on the production of the oil wells X-1, X-2, X-3 and X-4, the comprehensive scores of each water-out influencing factor and the risk distribution values of the target well areas in each stage are shown in the table 2. For the oil well X-1, the weight value of the influence of the side water on the yield of the oil well X-1 is 1, which indicates that the oil well X-1 is mainly influenced by the side water; for the oil well X-2, the weight value of the influence of the bottom water on the yield of the oil well X-2 is 0.7, and the weight value of the influence of the flooding of the adjacent well on the yield of the oil well X-2 is 0.3, which indicates that the oil well X-2 is mainly influenced by the bottom water and the flooding of the adjacent well; for the oil well X-3, the weight value of the influence of the side water on the yield of the oil well X-3 is 0.5, the weight value of the influence of the bottom water on the yield of the oil well X-3 is 0.2, the weight value of the influence of the opening transition zone on the yield of the oil well X-3 is 0.3, and the oil well X-3 is mainly influenced by the side water, the bottom water and the opening transition zone; for well X-4, the weight of the bottom water on the yield of well X-4 is 0.6, and the weight of the open flooding layer on the yield of well X-4 is 0.4, which indicates that well X-4 is mainly affected by the bottom water and the open flooding layer. Among the water outlet influencing factors, the comprehensive score of the side water is 1.5, the risk distribution value of the corresponding target well region is 0.375, the comprehensive score of the bottom water is 1.5, the risk distribution value of the corresponding target well region is 0.375, the comprehensive score of the flooding of the adjacent well is 0.3, the risk distribution value of the corresponding target well region is 0.075, the comprehensive score of the flooding layer opening is 0.4, the risk distribution value of the corresponding target well region is 0.1, the comprehensive score of the transition zone opening is 0.3, and the risk distribution value of the corresponding target well region is 0.075. TABLE 2 weighting values of the influence of individual water-out influencing factors on the production of wells X-1, X-2, X-3 and X-4, composite score of individual water-out influencing factors, and target well area risk distribution value for each stage
In summary, the oil well is mainly influenced by side water and bottom water. Therefore, the influence of side water and bottom water needs to be fully considered when a new well is deployed.
Step S5: and establishing a fine numerical simulation model of the target well region, and analyzing the distribution rule of the residual oil on the basis of high-precision numerical simulation. The specific operation flow is as follows:
the data such as the liquid yield, the oil yield, the water content and the like of the block are subjected to history fitting by using a history fitting method, specifically, the existing Petrel RE software can be used for inputting geological model data, production data, fluid parameters, rock parameters and the like to perform initialization and history fitting, and the relation of oil-water movement of an oil field from the initial state to the current state is defined. The history fit results are shown in fig. 4.
As shown in fig. 4 a and B, the fitting result of the cumulative fluid and the daily fluid is shown.
As shown in fig. 4C and D, the fitting result of the cumulative oil and the daily oil is shown.
As shown in fig. 4E, is a simulation result of formation pressure.
As shown in F in fig. 4, the fitting result is water.
And then establishing a fine numerical simulation model of the target well region according to the history fitting result. The established fine numerical simulation model of the target well area is shown in fig. 5, and the displayed initial water saturation field of the oil field can obtain the current oil-water distribution relation of the oil field through history fitting.
On the basis that the history fitting accuracy of the target well region is more than 90%, residual oil distribution rule analysis is carried out, and the result is shown in fig. 6 (A is original water saturation distribution, B is current water saturation distribution), and from saturation change, it can be seen that edge water index and bottom water coning cause uneven residual oil saturation distribution and local residual oil enrichment.
Step S6: and (3) carrying out well position deployment of a new well according to the water outlet influence factors and the analysis result of the distribution rule of the residual oil so as to improve the development effect of the oil field.
Further combining the influence condition of the side water and the bottom water on each old well, and integrating the distribution rule of the residual oil to determine a well position deployment area of a new well, as shown in fig. 7 (the new well deployed in the area with lower flooding risk is shown by a black dot in the figure), wherein the risk of side water fingering is mainly faced to the oil well with a low position; constructing high-lying wells is mainly at risk of bottom water coning.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may be modified or some technical features may be replaced with others, which may not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (5)
1. The method for characterizing and diving residual oil of the block-shaped bottom water reservoir is characterized by comprising the following steps of:
step S1: analyzing geological features;
step S2: dynamically analyzing an actual production well by using a geological feature analysis result to determine the water outlet reason of the high-water-content well and determine water outlet influence factors;
step S3: analyzing the water outlet influence factors at different stages by using an analytic hierarchy process to obtain the weight value of the influence of each water outlet influence factor on the actual production well yield, thereby determining the dimensionless influence degree of each water outlet influence factor on the actual production well yield;
step S4: calculating the sum of the weight values corresponding to the water outlet influence factors according to the weight values of the water outlet influence factors on the actual production well output, so as to obtain the comprehensive score of each water outlet influence factor; calculating the difference value by utilizing the comprehensive score to finally obtain a target well region risk distribution value;
step S5: establishing a fine numerical simulation model of the target well region, and analyzing the distribution rule of the residual oil on the basis of high-precision numerical simulation;
step S6: and (5) deploying the well position of the new well according to the water outlet influence factors and the analysis result of the distribution rule of the residual oil.
2. The method for characterizing and mining residual oil in a block bottom water reservoir according to claim 1, wherein in step S2, dynamic analysis is performed by combining production dynamic data, water-oil ratio and its derivative, reservoir profile, well cementation quality, water-out reasons of high water-content wells are clarified, water-out influencing factors are determined, and finally, the water-out influencing factors of all the determined different stages of the high water-content wells are counted and summarized.
3. The method for characterizing and diving remaining oil in a bulk bottom water reservoir as recited in claim 1, wherein in step S2, said water-out influencing factors comprise: (1) is mainly affected by side water; (2) is mainly affected by bottom water; (3) is mainly influenced by flooding of adjacent wells; (4) the flooding layer is mainly opened; (5) the transition zone is mainly opened.
4. The method for characterizing and diving remaining oil in a bulk bottom water reservoir as recited in claim 1, wherein in step S3, all wells with the same cut-off date are selected, the production of each well in each stage is calculated, and the production of each stage is divided by the total production of the wells to obtain the weight value of the influence of each water-out influence factor of each stage on the actual production well production.
5. The method for characterizing and mining residual oil in a block bottom water reservoir according to claim 1, wherein in step S5, a history fitting method is used to perform history fitting on the liquid yield, the oil yield and the water content of the block, and a fine numerical simulation model of the target well area is established according to the history fitting result.
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