Method and device for rapidly evaluating production capacity of newly drilled oil well in mature area

Abstract

The invention discloses a method and a device for quickly evaluating the production capacity of a newly drilled oil well in a mature area. The method comprises the following steps: acquiring data of crude oil yield of a developed oil well in the mature area and data of a plurality of oil reservoir parameters; based on the data of the crude oil yield and the data of the multiple oil reservoir parameters, carrying out correlation analysis on the crude oil yield and the oil reservoir parameters, and determining multiple effective oil reservoir parameters related to the crude oil yield; performing regression analysis on the basis of the data of the crude oil yield of the developed oil well and the data of the multiple effective oil reservoir parameters, and determining a crude oil yield prediction formula; and predicting the crude oil yield of the newly-drilled oil well based on the crude oil yield prediction formula and the data of the multiple effective oil reservoir parameters of the newly-drilled oil well in the mature area. According to the method, the productivity of the newly drilled oil well can be quickly estimated, so that a reference is provided for subsequent work deployment.

Description

Technical Field

[0001] The invention relates to the technical field of oil and gas reservoir exploration and development, and in particular to a method, device, equipment and medium for quickly evaluating the production capacity of a newly drilled oil well in a mature area. Background Art

[0002] Conducting capacity evaluation on oil wells in newly discovered oil reservoirs is the key basis for evaluating whether the oil wells can obtain industrial oil flow and whether the reservoir development is profitable. Usually, in order to obtain reliable capacity evaluation results, oilfield operating units need to collect a large amount of dynamic and static data of the reservoir through complex oil testing, well testing and production testing processes. At the same time, through theoretical research, summarize the laws, and modify the theoretical production formula to calculate and predict the capacity of new wells, or use more complex numerical simulation and other technical means to predict. To complete these tasks, rich basic information and data are often required, with high technical requirements, complex research process, and long cycle, and it is impossible to quickly evaluate the capacity and production scale of an oil well (reservoir). Summary of the invention

[0003] The main purpose of the present invention is to provide a method, device, equipment and medium for quickly evaluating the production capacity of newly drilled oil wells in mature areas, so as to solve the problem that it is difficult to quickly evaluate the production capacity of oil wells in the prior art.

[0004] According to one aspect of the present invention, a method for quickly evaluating the production capacity of a newly drilled oil well in a mature area is provided, comprising:

[0005] Obtain data on crude oil production from developed oil wells in mature areas and data on multiple reservoir parameters;

[0006] Based on the data of the crude oil production and the data of the multiple reservoir parameters, a correlation analysis between the crude oil production and the reservoir parameters is performed to determine multiple effective reservoir parameters that are correlated with the crude oil production;

[0007] Perform regression analysis based on the crude oil production data of developed oil wells and data of multiple effective reservoir parameters to determine a crude oil production prediction formula;

[0008] Based on the crude oil production prediction formula and data of multiple effective reservoir parameters of newly drilled oil wells in mature areas, the crude oil production of newly drilled oil wells is predicted.

[0009] According to one embodiment of the present invention, the plurality of reservoir parameters include: medium depth of oil layer, oil layer thickness, porosity, permeability, crude oil density, crude oil viscosity, initial production gas-oil ratio of oil well, and formation pressure coefficient.

[0010] According to one embodiment of the present invention, the oil layer thickness of each oil well is determined based on the sum of the thicknesses of a plurality of perforated layers included in the oil well; and / or

[0011] The porosity or permeability of each oil well is calculated based on the following formula:

[0012]

[0013] Where X is the porosity or permeability of the oil well; x j is the porosity or permeability of the jth perforated layer; T j is the thickness of the jth perforation layer; m is the number of perforation layers contained in the oil well.

[0014] According to one embodiment of the present invention, the determining of multiple effective reservoir parameters correlated with crude oil production includes:

[0015] The reservoir parameters with a correlation coefficient with crude oil production greater than 0.2 are selected as the effective reservoir parameters.

[0016] According to one embodiment of the present invention, the regression analysis is performed based on the following regression equation:

[0017]

[0018] Among them, Q o is the crude oil production; a i is the i-th correlation coefficient; D i is the i-th effective reservoir parameter; n is the number of effective reservoir parameters; k is the correction coefficient.

[0019] According to an embodiment of the present invention, the correction coefficient has a value between 0.9 and 1.1.

[0020] According to one embodiment of the present invention, data of a plurality of effective reservoir parameters of the newly drilled oil well are determined based on exploration data of the newly drilled oil well and / or known data of neighboring areas of the newly drilled oil well.

[0021] According to another aspect of the present invention, a device for quickly evaluating the production capacity of a newly drilled oil well in a mature area is provided, comprising:

[0022] an acquisition module configured to acquire data on crude oil production of developed oil wells in mature areas and data on a plurality of reservoir parameters;

[0023] A first determination module is configured to perform a correlation analysis between the crude oil production and the reservoir parameters based on the data of the crude oil production and the data of the plurality of reservoir parameters, and determine a plurality of effective reservoir parameters that are correlated with the crude oil production;

[0024] A second determination module is configured to perform regression analysis based on the data of the crude oil production of the developed oil wells and the data of multiple effective reservoir parameters to determine a crude oil production prediction formula;

[0025] The prediction module is configured to predict the crude oil production of the newly drilled oil well based on the crude oil production prediction formula and data of multiple effective reservoir parameters of the newly drilled oil well in the mature area.

[0026] According to another aspect of the present invention, a computer device is provided, comprising:

[0027] at least one processor; and

[0028] A memory, wherein the memory stores a computer program that can be run on the processor, and when the processor executes the program, the method described in any of the above embodiments is implemented.

[0029] According to another aspect of the present invention, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method described in any one of the above embodiments is implemented.

[0030] In the technical scheme of the present invention, in view of the characteristics of mature oil fields with many developed oil reservoirs and many put into production oil wells, a large amount of oil reservoir and production data of the oil wells in the developed oil fields is utilized, and the statistical relationship between the oil well production and the reservoir parameters is established through statistical analysis of the correlation between the oil well production and the key oil reservoir parameters. This can quickly carry out production capacity evaluation of newly drilled oil wells, provide a reference for the evaluation of the test oil and production effects of new wells, and provide a basis for the evaluation of production potential. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0032] Figure 1 A flow chart showing a method for rapid evaluation of production capacity of newly drilled oil wells in mature areas according to an embodiment of the present invention;

[0033] Figure 2 A schematic diagram showing a device for quickly evaluating the production capacity of a newly drilled oil well in a mature area according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0034] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the embodiments of the present invention are further described in detail below in combination with specific embodiments and with reference to the accompanying drawings.

[0035] It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are for distinguishing two non-identical entities with the same name or non-identical parameters. It can be seen that "first" and "second" are only for the convenience of expression and should not be understood as limitations on the embodiments of the present invention. The subsequent embodiments will not explain this one by one.

[0036] Usually, after a new oil well is drilled, both geological engineers and reservoir engineers want to know the possible production capacity (output) of the oil layer encountered at the first time, in order to evaluate whether the oil layer production capacity is economically beneficial and whether it has production potential. However, it usually takes a long time to know through complex processes such as oil testing and testing. Therefore, in order to solve the problem of rapid evaluation of the production capacity potential of newly drilled oil wells, the present invention proposes a method for rapid evaluation of the production capacity of newly drilled oil wells in mature areas, taking into account the advantages of a large number of dynamic and static data of completed wells in mature areas, so that geological and reservoir engineers can estimate the production capacity (output) of newly drilled oil wells at the first time, providing a reference for subsequent work deployment.

[0037] refer to Figure 1 The present invention proposes a method for quickly evaluating the production capacity of newly drilled oil wells in mature areas, comprising:

[0038] S1, obtaining data on crude oil production from developed oil wells in mature areas and data on multiple reservoir parameters;

[0039] S2, based on the data of the crude oil production and the data of the plurality of reservoir parameters, performing correlation analysis between the crude oil production and the reservoir parameters, and determining a plurality of effective reservoir parameters correlated with the crude oil production;

[0040] S3, performing regression analysis based on the crude oil production data of developed oil wells and data of multiple effective reservoir parameters to determine a crude oil production prediction formula;

[0041] S4, predicting the crude oil production of the newly drilled oil well based on the crude oil production prediction formula and data of multiple effective reservoir parameters of the newly drilled oil well in the mature area.

[0042] In step S1, the initial production of oil wells in old oil fields can be obtained based on the statistical data of dynamic and static data of wells in mature areas, and data of reservoir parameters such as oil layer thickness, oil layer permeability, crude oil viscosity and formation pressure coefficient that are related to the production can be obtained. In some embodiments, multiple reservoir parameters include: medium depth of oil layer, oil layer thickness, porosity, permeability, crude oil density, crude oil viscosity, gas-oil ratio of initial production of oil wells, and formation pressure coefficient. The inventors of the present application recognize that these parameters are basic parameters related to production and are also common exploration parameters of different oil wells (for different oil wells, these parameters are generally measured), so these reservoir parameters are used as a basis to select effective reservoir parameters that are more relevant to production.

[0043] In step S2, a correlation analysis between reservoir parameters and daily crude oil production can be carried out (the analysis can be carried out based on various correlation analysis methods in the prior art), and parameters that are correlated with production are preferred, and unqualified well data are eliminated in this process. The selected reservoir parameters should be the ones with the greatest influence in the theoretical production formula as much as possible, and they are also the key factors affecting production in actual statistics. At the same time, for new wells, the data source is relatively easy. In some embodiments, the determination of multiple effective reservoir parameters that are correlated with crude oil production includes: selecting a reservoir parameter with a correlation coefficient greater than 0.2 with crude oil production as the effective reservoir parameter.

[0044] In some embodiments, the oil layer thickness of each oil well is determined based on the sum of the thicknesses of the multiple perforated layers contained in the oil well. For example, for a high-yield oil layer, the sum of the thicknesses of the multiple perforated layers can be taken as the oil layer thickness; for a low-yield oil layer, half of the sum of the thicknesses of the multiple perforated layers can be taken as the oil layer thickness. The present invention uses this method to more precisely calculate the oil layer thickness, which can improve the accuracy of the oil layer thickness data and facilitate obtaining a more accurate prediction formula.

[0045] In some embodiments, the porosity or permeability of each oil well is calculated based on the following formula:

[0046]

[0047] Where X is the porosity or permeability of the oil well; x j is the porosity or permeability of the jth perforated layer; T j is the thickness of the jth perforation layer; m is the number of perforation layers contained in the oil well.

[0048] By using the above method, the weighted average calculation result of porosity or permeability and perforation layer thickness is used as the porosity or permeability of the oil well, which can improve the accuracy of porosity and permeability data.

[0049] In some embodiments, an average value of the gas-oil ratios detected at multiple times in the early stage of the oil well is used as the initial gas-oil ratio.

[0050] In step S3, the regression analysis is performed based on the following regression equation:

[0051]

[0052] Among them, Q o is crude oil production (tons / day, t / d); a i is the i-th correlation coefficient; D i is the i-th effective reservoir parameter; n is the number of effective reservoir parameters; k is the correction coefficient.

[0053] Statistical analysis was carried out using statistical theory to establish the correlation between oil well production and reservoir parameters (determine the correlation coefficient a in the formula i ), the calculation process is simple and can be easily realized through common office software, and it is also more in line with the law of oil reservoirs. The correction coefficient k can be given by experience based on the dynamic analysis of regional oil reservoirs to correct the prediction results. The value of the correction coefficient k can be between 0.9 and 1.1.

[0054] In step S4, for the newly drilled well, the data revealed by the newly drilled well is used, and the research results of the neighboring areas, neighboring wells and reservoir geology are referred to to calibrate the effective reservoir parameters such as the oil layer thickness, oil layer permeability, crude oil viscosity, and formation pressure coefficient of the target oil well (that is, the data of multiple effective reservoir parameters of the newly drilled oil well are determined based on the exploration data of the newly drilled oil well and / or the known data of the neighboring areas of the newly drilled oil well). Accurate calibration of reservoir parameters is the guarantee of the reliability of the prediction results. Substituting the data of multiple effective reservoir parameters of the newly drilled oil well into the prediction formula, the oil production Q of the target area oil well can be predicted. o Furthermore, the benefit evaluation of the predicted production of the target well can be carried out according to the benefit production standard of the oil well in the target zone.

[0055] refer to Figure 2 The present invention also proposes a device 100 for quickly evaluating the production capacity of a newly drilled oil well in a mature area, comprising:

[0056] An acquisition module 10 is configured to acquire data on crude oil production of developed oil wells in mature areas and data on multiple reservoir parameters;

[0057] A first determination module 20 is configured to perform a correlation analysis between crude oil production and reservoir parameters based on the data of the crude oil production and the data of the plurality of reservoir parameters, and determine a plurality of effective reservoir parameters that are correlated with the crude oil production;

[0058] The second determination module 30 is configured to perform regression analysis based on the crude oil production data of the developed oil wells and the data of multiple effective reservoir parameters to determine the crude oil production prediction formula;

[0059] The prediction module 40 is configured to predict the crude oil production of the newly drilled oil well based on the crude oil production prediction formula and data of multiple effective reservoir parameters of the newly drilled oil well in the mature area.

[0060] The present invention further proposes a computer device, comprising: at least one processor; and a memory, wherein the memory stores a computer program that can be run on the processor, and when the processor executes the program, the method described in any of the above embodiments is implemented.

[0061] The present invention further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the method described in any of the above embodiments is implemented.

[0062] The following is a description based on specific embodiments.

[0063] Example 1

[0064] This embodiment is implemented in the Binhai Oilfield of Dagang Oilfield. The main steps are as follows:

[0065] Step 1: Production well data statistics

[0066] The Paleogene oil reservoirs of Binhai Oilfield were selected, and the production and related reservoir parameters of 35 wells were counted. The daily oil production data of the oil wells uniformly adopted the average daily production data of the first three months of trial production. The reservoir parameters included 8 parameters with relatively convenient sources: medium depth of oil layer, oil layer thickness, reservoir porosity, reservoir permeability, crude oil density, crude oil viscosity, gas-oil ratio of initial production of oil wells, and formation pressure coefficient.

[0067] The oil layer thickness is calculated by adding the vertical thickness of the oil well perforated layer (half of the low-yield oil layer); the porosity and permeability are weighted averaged for the perforated layer thickness; and the initial gas-oil ratio is calculated by the average value.

[0068] Step 2: Reservoir parameters and well set optimization

[0069] An analysis of the relationship between each reservoir parameter and oil well production was carried out. On the one hand, wells with abnormal data, such as wells with extremely poor correlation (which may be related to engineering technology), were eliminated, and reservoir parameters with a certain correlation with production (correlation coefficient greater than 0.2) were selected. Finally, five reservoir parameters, including medium depth of oil layer, oil layer thickness, porosity, permeability, and crude oil viscosity, were selected for prediction.

[0070] Step 3: Establishment of crude oil production prediction formula

[0071] Using the tool software to carry out regression analysis, the constant value in the regression equation mentioned above is as follows:

[0072] Number of reservoir parameters: n = 5;

[0073] Medium-depth coefficient of oil layer: a1 = -0.00477;

[0074] Oil layer thickness coefficient: a2 = 0.0966;

[0075] Porosity coefficient: a3 = 2.319;

[0076] Permeability coefficient: a4 = -0.0856;

[0077] Crude oil viscosity coefficient: a5 = -0.0617

[0078] Thus, the yield prediction formula can be obtained. The correlation between the prediction result of the formula and the original data is greater than 80%, and the error is within an acceptable range, so it can be carried out.

[0079] Step 4: Target oil well parameter calibration

[0080] The target oil well is statistically analyzed based on the oil layer drilling situation: the oil layer thickness is 12.8m, the oil layer medium depth is 3800m, the oil layer porosity is 13.2%, and the oil layer permeability is 35mD; other parameters are borrowed from the reservoir parameters of similar layers in the adjacent area because this well is the first well in the reservoir, and the crude oil viscosity is taken as 9.0cP. Because the target well is located in a block close to the discovered oil reservoir, the production correction coefficient is given as 1.0.

[0081] Step 5: Target well production forecast

[0082] According to the prediction formula determined above, the initial daily oil production of the target oil well is calculated to be 10.2 tons / day.

[0083] Step 6: Evaluation

[0084] The target well has an oil layer buried at a depth of 3,800m and a predicted production of 10.2 tons, which is much lower than the production of oil wells at the same depth in the same block, and has poor benefits. After actual production, the daily production is basically maintained at more than 6-10 tons, and the difference between the actual production and the predicted value is within a controllable range. This method has proven to have good practical value and can be promoted for use.

[0085] In summary, the present invention innovates in the capacity (quantity) calculation method, provides a method for predicting the capacity of new wells in mature areas, and provides strong practicality for quickly evaluating the capacity of new wells. The scheme of the present invention has been tried out in Binhai and Nangang oil fields in Dagang Oilfield. By continuously correcting and improving the production prediction formula, the accuracy of new well production prediction has been continuously improved, which provides an important basis for the evaluation of new well production (capacity), subsequent oil testing, trial production plan design, and even the deployment of capacity construction plans. The application proves that this method has high practical value.

[0086] A person skilled in the art should understand that the discussion of any of the above embodiments is only exemplary and is not intended to imply that the scope of the disclosure of the embodiments of the present invention (including the claims) is limited to these examples; under the concept of the embodiments of the present invention, the technical features in the above embodiments or different embodiments can also be combined, and there are many other changes in different aspects of the embodiments of the present invention as described above, which are not provided in detail for the sake of simplicity. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present invention should be included in the protection scope of the embodiments of the present invention.

Claims

1. A method for rapid evaluation of production capacity of newly drilled oil wells in mature areas, characterized in that: include: Obtain data on crude oil production from developed oil wells in mature areas and data on multiple reservoir parameters; Based on the data of the crude oil production and the data of the multiple reservoir parameters, a correlation analysis between the crude oil production and the reservoir parameters is performed to determine multiple effective reservoir parameters that are correlated with the crude oil production; Perform regression analysis based on the crude oil production data of developed oil wells and data of multiple effective reservoir parameters to determine a crude oil production prediction formula; Based on the crude oil production prediction formula and data of multiple effective reservoir parameters of newly drilled oil wells in mature areas, the crude oil production of newly drilled oil wells is predicted.

2. The method according to claim 1, characterized in that Multiple reservoir parameters include: medium depth of oil layer, oil layer thickness, porosity, permeability, crude oil density, crude oil viscosity, initial production gas-oil ratio of oil wells, and formation pressure coefficient.

3. The method according to claim 1, characterized in that The oil layer thickness of each oil well is determined based on the sum of the thicknesses of a plurality of perforated layers included in the oil well; and / or The porosity or permeability of each oil well is calculated based on the following formula: Where X is the porosity or permeability of the oil well; x j is the porosity or permeability of the jth perforated layer; T j is the thickness of the jth perforation layer; m is the number of perforation layers contained in the oil well.

4. The method according to claim 1, characterized in that: The determination of multiple effective reservoir parameters correlated with crude oil production includes: The reservoir parameters with a correlation coefficient with crude oil production greater than 0.2 are selected as the effective reservoir parameters.

5. The method according to claim 1, characterized in that The regression analysis was performed based on the following regression equation: Among them, Q o is the crude oil production; a i is the i-th correlation coefficient; D i is the i-th effective reservoir parameter; n is the number of effective reservoir parameters; k is the correction coefficient.

6. The method according to claim 5, characterized in that The correction coefficient has a value between 0.9 and 1.

1.

7. The method according to claim 1, characterized in that The data of a plurality of effective reservoir parameters of the newly drilled oil well are determined based on the exploration data of the newly drilled oil well and / or the known data of the neighboring area of ​​the newly drilled oil well.

8. A device for rapid evaluation of production capacity of newly drilled oil wells in mature areas, characterized in that: include: an acquisition module configured to acquire data on crude oil production of developed oil wells in mature areas and data on a plurality of reservoir parameters; A first determination module is configured to perform a correlation analysis between the crude oil production and the reservoir parameters based on the data of the crude oil production and the data of the plurality of reservoir parameters, and determine a plurality of effective reservoir parameters that are correlated with the crude oil production; A second determination module is configured to perform regression analysis based on the data of the crude oil production of the developed oil wells and the data of multiple effective reservoir parameters to determine a crude oil production prediction formula; The prediction module is configured to predict the crude oil production of the newly drilled oil well based on the crude oil production prediction formula and data of multiple effective reservoir parameters of the newly drilled oil well in the mature area.

9. A computer device comprising: at least one processor; as well as A memory storing a computer program executable on the processor, wherein the processor implements the method according to any one of claims 1 to 7 when executing the program.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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