CN-121997687-A - Method and system for judging super-heavy oil steam flooding opportunity

CN121997687ACN 121997687 ACN121997687 ACN 121997687ACN-121997687-A

Abstract

The embodiment of the invention provides a method and a system for judging the time of super heavy oil steam flooding, belonging to the technical field of oil exploitation. The method comprises the steps of classifying historical logging data and historical oil extraction data according to corresponding rotation driving time judging index items to obtain a plurality of data sets, generating judging rules corresponding to the rotation driving time judging index items based on the data sets, collecting state information in a current collecting state in real time, judging whether the current collecting state information meets rotation driving conditions or not based on the judging rules of the rotation driving time judging index items, and triggering steam rotation driving to be executed when the rotation driving conditions are met. According to the scheme, the limitation of the traditional single temperature judgment method is overcome by comprehensively considering a plurality of key indexes, the accuracy and reliability of the judgment of the rotation driving time are obviously improved, and the development effect of the super heavy oil reservoir is optimized.

Inventors

HU CHANGHAO
DING JINGJING
KONG SIQI
SUN NIAN
WANG GUODONG
SHANG CE
GONG YUNING
GAO BING
LI QUN
CHENG HAIQING
YANG XINGCHAO

Assignees

中国石油天然气股份有限公司

Dates

Publication Date: 20260508
Application Date: 20241101

Claims (20)

1. The method for judging the time of super heavy oil steam flooding is characterized by comprising the following steps of: Collecting historical logging data and historical oil production data of a target oil reservoir area, and classifying the historical logging data and the historical oil production data according to corresponding rotation driving time judging index items to obtain a plurality of data sets; Generating a judging rule corresponding to the rotation driving time judging index item based on each data set; Collecting the collecting state information in the current collecting state in real time, and judging whether the current collecting state information meets the driving condition or not based on the judging rule of each driving opportunity judging index item; and triggering the execution of steam flooding when the flooding condition is met.
2. The method of claim 1, wherein the rotation timing determination indicator term comprises any combination of a plurality of indicators including a temperature indicator, a pressure indicator, and a viscosity indicator; The classifying the historical logging data and the historical oil extraction data according to the corresponding rotation driving time judging index items to obtain a plurality of data sets comprises the following steps: performing data preprocessing on the historical logging data and historical production data; And performing classification processing on the preprocessed data based on a K-means clustering algorithm to obtain data classification results corresponding to each rotation driving time judging index item, wherein the data classification results are used as data sets corresponding to the rotation driving time judging index items.
3. The method according to claim 2, wherein when the rotation driving timing determination index item is a temperature index, the corresponding determination rule generation process includes: fitting a temperature and viscosity data curve based on a data set of temperature indicators; Identifying slope mutation points in the temperature and viscosity data curve, taking each slope mutation point as a candidate key temperature point, wherein, The slope abrupt change point is a point where the ratio deviation between the front/rear slope on the temperature and viscosity data curve is greater than a preset deviation ratio threshold; Calculating the tangential slope of each candidate key temperature point, and determining a rotation driving temperature limit value of the temperature index based on the tangential slope and the magnitude relation between each candidate key temperature point; And generating a judgment rule under the temperature index based on the rotation driving temperature limit value.
4. A method according to claim 3, wherein the decision rule under the temperature index comprises: if the current temperature value reaches the rotation driving temperature limit value, judging that a temperature triggering condition is met; otherwise, if the current temperature value does not reach the rotation driving temperature limit value, judging that the temperature triggering condition is not satisfied.
5. The method according to claim 2, wherein when the rotation driving timing determination index item is a pressure index, the corresponding determination rule generation process includes: performing a relationship fit between formation pressure and production level based on the data set of pressure indicators; Performing pressure field map fitting of the target area based on the fitting relation and the extraction degree of the current target area; recovering experimental data of an indoor core displacement experiment executed by crude oil seepage under simulated stratum conditions; Determining a starting pressure limit value of the super heavy oil based on the experimental data; and generating a judgment rule under a pressure index based on the starting pressure limit value and the pressure field diagram of the target area.
6. The method of claim 5, wherein the fitting a relationship between formation pressure and production level based on the pressure index dataset comprises: performing outlier removal on the data set of the pressure index to obtain a standard data set of the pressure index; constructing a coordinate system according to formation pressure and extraction degree, and drawing a scatter diagram in the coordinate system based on a standard data set of a pressure index; and carrying out trend curve fitting based on the scatter diagram, and constructing a functional relation between the formation pressure and the production degree based on the trend curve obtained by fitting as a relation fitting between the formation pressure and the production degree.
7. The method of claim 6, wherein performing outlier removal on the data set of pressure indicators to obtain a standard data set of pressure indicators comprises: determining a change in the production level within each unit pressure drop based on the data set of the pressure indicator; Calculating the deviation degree between each sampling degree change value and the average value of the corresponding sampling degree change values based on a Z-Score algorithm; Taking a change value of the extraction degree with the deviation degree larger than a preset deviation threshold value as an abnormal change value; and taking the data item in the data set of the pressure index corresponding to the abnormal change value as the abnormal value, and executing the removing processing on the abnormal value.
8. The method of claim 5, wherein after fitting the pressure field map of the target region based on the fit relationship and the extent of extraction of the current target region, the method further comprises: calculating a variation function value of each oil production well based on the data set of the pressure index and the distance information between the oil production wells; performing outlier identification in a pressure field map of the target area based on the variation function values of the oil production wells; And correcting the pressure field map of the target area based on the abnormal value identification result to obtain the pressure field map which accords with the elastic change smooth coefficient of the stratum pressure of the target area.
9. The method of claim 5, wherein recovering experimental data for an indoor core displacement experiment performed to simulate crude oil seepage under formation conditions, comprises: based on the pre-constructed indoor core displacement experimental device, sequentially performing indoor core displacement experiments on each crude oil sample determined based on the oil reservoir condition of the target area to obtain all experimental data, The indoor rock core displacement experimental device comprises: a fluid injection device for controlling the injection amount and pressure of the fluid; The physical simulation device is used for conditionally simulating the temperature and pressure environment of the actual stratum; The data acquisition device is used for acquiring the pressure and the temperature in the experimental process in real time; And the oil-water metering device is used for measuring the fluid seepage speed used for evaluating the crude oil displacement effect and the starting pressure.
10. The method of claim 9, wherein the sequentially performing indoor core displacement experiments on each crude oil sample determined based on the target area reservoir condition to obtain all experimental data comprises: S1) sequentially performing filtration treatment and dehydration treatment on all crude oil samples, filling the crude oil samples into each physical simulation device, and standing for a first preset time; s2) performing temperature adjustment on a physical simulation device corresponding to the current crude oil sample so as to reach a preset target temperature, and keeping the preset target temperature for a second preset time; s3) under the preset ultra-low speed condition, displacing liquid to an inlet end of a rock core constructed based on a stratum of a target area, and starting to record the pressure when an outlet end of the rock core starts to permeate liquid until the pressure value is stable, so as to obtain a stable pressure value; S4) after the current core is kept stand for a third preset time, modifying the displacement flow under the preset ultra-low speed condition, and repeating the step S3) to obtain the latest stable pressure value; s5) repeating the step N times of the step S4) to obtain a stable pressure value of the current crude oil sample under each displacement flow; S6) changing the crude oil samples and repeating steps S2) -S5) until stable pressure values for all crude oil samples at each displacement flow are obtained.
11. The method of claim 5, wherein said determining an ultra-heavy oil startup pressure limit based on said experimental data comprises: Based on the experimental data, constructing a non-Darcy seepage curve of the super heavy oil corresponding to the target area; and identifying the starting point of the beginning seepage in the non-Darcy seepage curve, and taking the pressure value of the starting point of the beginning seepage as a determined starting pressure limit value of the super-thick oil.
12. The method of claim 5, wherein generating a decision rule under a pressure indicator based on the starting pressure threshold and a pressure field map of the target region comprises: Taking the determined starting pressure limit value as a judgment basic value, and carrying out region identification in which the pressure value is larger than the judgment basic value in the pressure field diagram of the target region; if the current area is in the identification area, judging that the pressure triggering condition is met; If the current area is not in the identification area, the pressure triggering condition is judged not to be met.
13. The method according to claim 2, wherein when the rotation driving timing determination index item is a viscosity index, the corresponding determination rule generation process includes: based on a data set of viscosity indexes, performing a relation fit between the injected steam amount and the temperature, and performing a relation fit between the temperature and the viscosity of the crude oil of the stratum; performing a mapping of the relationship between the injected steam amount and the formation crude oil viscosity based on a fit relationship between the injected steam amount and the temperature, and a fit relationship between the temperature and the formation crude oil viscosity; Collecting pre-constructed one-dimensional object model experimental result data constructed based on small-scale digital models, establishing relations between different crude oil viscosities and different permeabilities and starting viscosity limit values based on the one-dimensional object model experimental result data, and calculating oil reservoir seepage factors of a target area and starting viscosity limit values of each position of the target area based on the relations between the different crude oil viscosities and the different permeabilities and the starting viscosity limit values; correcting the relation between the injected steam quantity and the viscosity of the crude oil of the stratum based on the oil reservoir seepage factor of the target area; Generating a viscosity field map of the target area based on the corrected relationship between the injected steam amount and the formation crude oil viscosity; A determination rule under the viscosity index is generated based on the viscosity field map of the target region and the starting viscosity limit value at each position.
14. The method of claim 13, wherein the collecting the pre-constructed one-dimensional object model experimental result data based on the small-scale digital-to-analog construction, and establishing the relationship between the different crude oil viscosities and the different permeabilities and the starting viscosity limit value based on the one-dimensional object model experimental result data comprises: simulating seepage processes of crude oil under different crude oil viscosities and different permeabilities through a one-dimensional physical model experiment; gradually increasing, for example, the amount of injected steam, measuring the viscosity of the crude oil when the crude oil starts to flow, as a starting viscosity limit value at the corresponding viscosity of the crude oil and the corresponding permeability; Iteratively adjusting the permeability and the crude oil viscosity to obtain the crude oil viscosity and the starting viscosity limit value corresponding to the permeability; The relationship between different crude oil viscosities and different permeabilities and the starting viscosity limits is constructed based on each crude oil viscosity and the starting viscosity limits for each permeance.
15. The method of claim 13, wherein the calculation rule of the target area seepage factor is: Wherein phi is a seepage factor; m is the oil reservoir coefficient of the target area; k is the permeability of the target area; Mu is the current crude oil viscosity.
16. The method of claim 13, wherein correcting the relationship between the injected steam amount and the formation crude oil viscosity based on the target zone reservoir seepage factor comprises: Taking the oil reservoir seepage factor of the target area as a regulating factor between the injection steam quantity and the formation crude oil viscosity; and adding a factor variable to the relation between the injected steam quantity and the formation crude oil viscosity based on the regulating factor, and obtaining the relation between the corrected injected steam quantity and the formation crude oil viscosity.
17. The method of claim 13, wherein generating a decision rule for the viscosity index based on the viscosity field map of the target region and the respective position activation viscosity limit values comprises: comparing the viscosity field diagram of the target area with the starting viscosity limit value of the corresponding position, and judging the position with the viscosity greater than the starting viscosity limit value of the corresponding position as a trigger position; if the current position belongs to the trigger position, judging that the viscosity trigger condition is met; if the current position does not belong to the trigger position, the viscosity trigger condition is judged to be not satisfied.
18. The method according to claim 2, wherein determining whether the current acquisition state information satisfies the flooding condition based on the determination rule of each flooding opportunity determination index item includes: judging whether the current temperature triggering condition is met or not based on the stratum temperature information in the current acquisition state information and a judging rule of the temperature index; Judging whether the current pressure triggering condition is met or not based on the judgment rules of the acquisition position information and the pressure index in the current acquisition state information; judging whether the current viscosity triggering condition is met or not based on the judgment rule of the acquisition position information and the viscosity index in the current acquisition state information; If the temperature trigger condition, the pressure trigger condition and the viscosity trigger condition are all met, judging that the current acquired state information meets the rotation driving condition; Otherwise, if at least one of the temperature trigger condition, the pressure trigger condition and the viscosity trigger condition is not satisfied, judging that the current acquired state information does not satisfy the rotation driving condition.
19. An ultra-thick oil steam drive timing determination system, the system comprising: The acquisition unit is used for acquiring historical logging data and historical oil extraction data of the target oil reservoir area, classifying the historical logging data and the historical oil extraction data according to corresponding rotation driving time judging index items and obtaining a plurality of data sets; the rule generation unit is used for generating a judging rule corresponding to the rotation driving time judging index item based on each data set; The judging unit is used for collecting the collecting state information in the current collecting state in real time and judging whether the current collecting state information meets the driving condition or not based on the judging rule of each driving opportunity judging index item; And the execution unit is used for triggering and executing steam driving when the driving condition is met.
20. A computer readable storage medium having instructions stored thereon, which when run on a computer causes the computer to perform the method of determining the timing of a steam flooding of super heavy oil according to any one of claims 1to 18.

Description

Method and system for judging super-heavy oil steam flooding opportunity Technical Field The invention relates to the technical field of petroleum exploitation, in particular to a method and a system for judging the turning and driving time of super-heavy oil steam. Background Super heavy oil reservoirs occupy an important role in heavy oil resources, and development of the super heavy oil reservoirs has a great influence on the overall yield of the heavy oil resources. However, the existing super heavy oil reservoir development technology faces a plurality of challenges, and particularly in the later development stage, the problem is particularly remarkable. Currently, the main development methods of super heavy oil reservoirs are steam huff and puff and SAGD (steam assisted gravity drainage), wherein the layered and thin super heavy oil reservoirs mainly developed by huff and puff generally enter the later stage of yield decrease, the recovery ratio is only 25-30%, and the recovery ratio exceeds 90%. At this stage, the oil reservoir is generally faced with the problems of high turn, high water content, high production, low oil recovery speed and low oil-gas ratio, and stable production succession is realized by a technology for improving the recovery ratio. The existing method for judging the time of converting the super heavy oil reservoir into the steam flooding mainly depends on the monitoring of a temperature field, and a viscous temperature curve tangent method is often used for determining the temperature limit of the conversion. However, because the coverage rate of the temperature monitoring data is low, and interpolation is usually performed by adopting the highest temperature of the oil layer, the temperature field diagram cannot accurately reflect the longitudinal temperature distribution of the oil layer, and therefore the judgment accuracy is low. In addition, the high viscosity characteristics of super heavy reservoirs allow dead oil zones that are insufficiently heated to affect the development of steam flooding even when the flooding temperature is reached. Therefore, the prior art has limitations in the way of determining the timing of the steering by using only the temperature field. Interpolation errors caused by insufficient temperature monitoring data and failure to accurately reflect the extraction degree of a local area and the stratum pressure drop process can lead to inaccurate judgment of rotation driving time, and further influence the development effect of the super heavy oil reservoir. These problems need to be solved by more comprehensive and accurate technical means so as to improve the identification accuracy and development efficiency of the rotation driving time. Disclosure of Invention The embodiment of the invention aims to provide a method and a system for judging the turning and driving time of super-heavy oil steam, which at least solve the problem of inaccurate judgment of the existing turning and driving time of super-heavy oil steam. In order to achieve the above purpose, the first aspect of the invention provides a method for judging the turning moment of super heavy oil steam, which comprises the steps of collecting historical logging data and historical oil production data of a target oil reservoir area, classifying the historical logging data and the historical oil production data according to corresponding turning moment judging index items to obtain a plurality of data sets, generating judging rules corresponding to the turning moment judging index items based on the data sets, collecting state information in a current collecting state in real time, judging whether the current collecting state information meets turning conditions based on the judging rules of the turning moment judging index items, and triggering steam turning when the turning conditions are met. The method comprises the steps of selecting a rotation driving time judging index item, wherein the rotation driving time judging index item comprises any multiple index combinations of a temperature index, a pressure index and a viscosity index, classifying historical logging data and historical oil extraction data according to the corresponding rotation driving time judging index item to obtain multiple data sets, performing data preprocessing on the historical logging data and the historical oil extraction data, performing classification processing on the preprocessed data based on a K-means clustering algorithm to obtain a data classification result corresponding to each rotation driving time judging index item, and taking the data classification result as the data set corresponding to the rotation driving time judging index item. The method comprises the steps of selecting a rotation driving time judging index item as a temperature index, fitting a temperature and viscosity data curve based on a data set of the temperature index, identifying slope mutation points in the temperature and viscosit