CN110059400B - Prediction method and device for oil-water interface of unconformity oil reservoir - Google Patents
Prediction method and device for oil-water interface of unconformity oil reservoir Download PDFInfo
- Publication number
- CN110059400B CN110059400B CN201910298435.1A CN201910298435A CN110059400B CN 110059400 B CN110059400 B CN 110059400B CN 201910298435 A CN201910298435 A CN 201910298435A CN 110059400 B CN110059400 B CN 110059400B
- Authority
- CN
- China
- Prior art keywords
- oil
- unconformity
- oil reservoir
- production curve
- actual production
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a prediction method and a device for an oil-water interface of an unconformity oil reservoir, wherein the prediction method for the oil-water interface of the unconformity oil reservoir comprises the following steps of 1, acquiring an actual production curve of a drilled well in the unconformity oil reservoir; step 2, acquiring a theoretical production curve of the unconformity oil reservoir under the condition of oil-water interfaces at different depths; step 3, calculating the similarity ranking of the actual production curve of the drilled well and the theoretical production curve under the condition of different depth oil-water interfaces based on the actual production curve and the theoretical production curve; and 4, predicting the depth range of the oil-water interface of the unconformity oil reservoir according to the similarity ranking. The method and the device for predicting the oil-water interface of the unconformity oil reservoir combine the actual production curve with the theoretical production curve, and can more accurately predict the depth range of the oil-water interface of the unconformity oil reservoir.
Description
Technical Field
The invention relates to the technical field of oil and gas field development engineering, in particular to a method and a device for predicting an oil-water interface of an unconformity oil reservoir.
Background
The unconformity oil reservoir is a deposition discontinuity type oil reservoir caused by the lifting motion of the earth crust, can form a good oil-gas migration double channel, and can provide a good storage space for oil gas. Has the following characteristics: the oil layer is arranged in a strip shape on a plane (can be divided into a plurality of strips) and is distributed in a shingled shape in the longitudinal direction; the oil layer is distributed at the inclined-high part of the sand body, and the oil-water interfaces at different strips are not uniform. For later exploitation, the oil-water interface of the unconformity reservoir needs to be predicted.
In the prior art, the method disclosed in chinese patent publication No. CN104463345 is usually used to predict the oil-water interface of a conventional oil reservoir. Namely: drawing coordinate points of the comprehensive temperature-pressure values corresponding to different depths of the oil layer and coordinate points of the comprehensive temperature-pressure values corresponding to different depths of the water layer in a two-dimensional coordinate system by using a temperature-pressure simulation function; performing linear regression processing on coordinate points of the comprehensive temperature and pressure values corresponding to different depths of the oil layer to obtain a linear curve of the depths of the oil layer and the comprehensive temperature and pressure values; meanwhile, carrying out linear regression treatment on coordinate points of the comprehensive temperature and pressure values corresponding to different depths of the water layer to obtain a linear curve of the depths of the water layer and the comprehensive temperature and pressure values; and the depth corresponding to the intersection point of the linear curve of the depth of the oil layer and the comprehensive value of the temperature and pressure and the linear curve of the depth of the water layer and the comprehensive value of the temperature and pressure in the two-dimensional coordinate system is the position of an oil-water interface.
The inventor finds that at least the following problems exist in the prior art:
on one hand, conventionally recognized reservoir oil layers are continuously distributed, so that temperature and pressure data corresponding to different depths of the same reservoir can be obtained, but because longitudinal superposed distribution of the unconformity reservoirs is adopted, strip stacking is realized, an interlayer is arranged in the middle, the temperature and pressure system difference of different longitudinal small layers is large, and the oil-water interface of the unconformity reservoirs cannot be predicted by adopting a general pressure gradient method due to the limited number of drilled wells in the mining process; on the other hand, due to the influence of heterogeneity in layers and difference between layers, the oil-containing strip heights and bottom water rising rules in different layers are different, so that the oil-water interface positions of all unconformity layers cannot be comprehensively predicted only by using a small number of wells. Therefore, the oil-water interface prediction method is not suitable for unconformity oil reservoirs. Therefore, a novel prediction method and a novel prediction device for the oil-water interface of the unconformity oil reservoir are invented, and the technical problems are solved.
Disclosure of Invention
The invention aims to provide a prediction method and a device of an oil-water interface of an unconformity oil reservoir, which can combine an actual production curve with a theoretical production curve and can more accurately predict the depth range of the oil-water interface of the unconformity oil reservoir.
The object of the invention can be achieved by the following technical measures: the method for predicting the oil-water interface of the unconformity oil reservoir comprises the following steps of 1, obtaining an actual production curve of a drilled well in the unconformity oil reservoir; step 2, acquiring a theoretical production curve of the unconformity oil reservoir under the condition of oil-water interfaces at different depths; step 3, calculating the similarity ranking of the actual production curve of the drilled well and the theoretical production curve under the condition of different depth oil-water interfaces based on the actual production curve and the theoretical production curve; and 4, predicting the depth range of the oil-water interface of the unconformity oil reservoir according to the similarity ranking.
The object of the invention can also be achieved by the following technical measures:
the step 1 comprises the following steps:
step 1a, acquiring actual production data of drilled wells in an unconformity oil reservoir, wherein the actual production data is at least one of oil production amount data, liquid production amount data and water content data;
and 2a, determining an actual production curve of drilled wells in the unconformity oil reservoir according to actual production data.
The step 2 comprises the following steps:
step 2a, acquiring characteristic parameters of the unconformity oil reservoir, wherein the characteristic parameters comprise a stratum inclination angle, an oil layer thickness, a strip width and a reservoir permeability;
step 2b, establishing an unconformity oil reservoir numerical simulation model through an oil reservoir numerical simulation method according to the characteristic parameters;
and 2c, predicting a theoretical production curve of the unconformity oil under the condition of oil-water interfaces at different depths based on the unconformity oil reservoir numerical simulation model.
The step 3 comprises the following steps:
step 3a, putting the actual production curve and the theoretical production curve into the same plane rectangular coordinate system;
step 3b, acquiring a plurality of discrete points on the actual production curve;
step 3c, calculating the variance of theoretical production curves of the distances between the discrete points under the condition of oil-water interfaces at different depths;
and 3d, determining the similarity ranking of the actual well-drilled production curve relative to the theoretical production curve under the condition of oil-water interfaces of different depths according to the variance.
step 4a, obtaining first and second theoretical production curves with similarity ranking according to the similarity ranking;
and 4b, predicting the depth range of the oil-water interface of the unconformity oil reservoir according to the oil-water interface depths corresponding to the theoretical production curves of the first and second similarity ranks.
The object of the invention can also be achieved by the following technical measures: the prediction device for the oil-water interface of the unconformity oil reservoir comprises a first acquisition module, a second acquisition module and a prediction module, wherein the first acquisition module is used for acquiring an actual production curve of a drilled well in the unconformity oil reservoir; the second acquisition module is used for acquiring a theoretical production curve of the unconformity oil reservoir under the condition of oil-water interfaces at different depths; the calculation module is used for calculating the similarity ranking of the actual production curve of the drilled well and the theoretical production curve under the condition of different depth oil-water interfaces based on the actual production curve and the theoretical production curve; and the prediction module predicts the depth range of the oil-water interface of the unconformity oil reservoir according to the similarity ranking.
The object of the invention can also be achieved by the following technical measures:
the first acquisition module includes:
the first acquisition unit is used for acquiring actual production data of drilled wells in the unconformity oil reservoir;
the first prediction unit is used for determining an actual production curve of drilled wells in the unconformity oil reservoir according to actual production data;
wherein, the actual production data is at least one of oil production, liquid production and water content data.
The second acquisition module includes:
the second acquisition unit is used for acquiring characteristic parameters of the unconformity oil reservoir;
the building unit is used for building an unconformity oil reservoir numerical simulation model through an oil reservoir numerical simulation method according to the characteristic parameters;
the second prediction unit is used for determining a theoretical production curve of the unconformity oil reservoir under the condition of oil-water interfaces at different depths based on the unconformity oil reservoir numerical simulation model;
the characteristic parameters comprise a stratum inclination angle, an oil layer thickness, a strip width and a reservoir permeability.
The calculation module comprises:
the third acquisition unit is used for putting the actual production curve and the theoretical production curve into the same plane rectangular coordinate system;
the fourth acquisition unit is used for acquiring a plurality of discrete points on the actual production curve;
the calculation unit is used for calculating the variance of theoretical production curves of the distances between the discrete points under the conditions of oil-water interfaces at different depths;
and the third prediction unit determines the similarity ranking of the actual production curve of the drilled well relative to the theoretical production curve under the condition of different depth oil-water interfaces according to the variance.
The prediction module includes:
the fifth acquisition unit is used for acquiring the first and second theoretical production curves with the similarity ranks according to the similarity ranks;
and the fourth prediction unit predicts the depth range of the oil-water interface of the unconformity oil reservoir according to the oil-water interface depths corresponding to the theoretical production curves of the first and second similarity ranks.
According to the prediction method and device for the oil-water interface of the unconformity oil reservoir, firstly, an actual production curve of a drilled well and a theoretical production curve under the condition of oil-water interfaces of different depths are obtained, similarity ranking is carried out on the actual production curve and the theoretical production curve, and the depth range of the oil-water interface of the unconformity oil reservoir is predicted by taking the minimum similarity as a target. Because the actual production data of the drilled well is the first-hand data which can be obtained after production, and the characteristics of the actual production data are closely related to the depth of an oil-water interface, the depth range of the oil-water interface of the unconformity oil deposit can be more accurately predicted by combining the actual production curve with the theoretical production curve.
Drawings
FIG. 1 is a flow chart of an embodiment of a method for predicting an unconformity reservoir oil-water interface of the present invention;
FIG. 2 is a block diagram of an embodiment of the present invention for predicting a non-integrated reservoir oil-water interface;
FIG. 3 is a schematic diagram of an actual production curve for water cut for a 14-6 well in a forest according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a theoretical production curve for water cut of an unconformity reservoir in which 14-6 wells in a forest are located according to an embodiment of the present invention;
FIG. 5 is a schematic diagram illustrating a comparison of the similarity between the actual production curve shown in FIG. 3 and the theoretical production curve shown in FIG. 4, provided by an embodiment of the present invention.
Detailed Description
In order to make the technical solutions and advantages of the present invention clearer, the following will describe embodiments of the present invention in further detail with reference to the accompanying drawings. Unless defined otherwise, all technical terms used in the examples of the present invention have the same meaning as commonly understood by one of ordinary skill in the art.
It should be noted that the prediction method provided by the embodiment of the present invention is directed to prediction of an oil-water interface on a certain band of an unconformity reservoir, and similar calculation can be performed on prediction of oil-water interfaces of other bands of the reservoir by using the method.
As shown in fig. 1, fig. 1 is a flow chart of the method for predicting an oil-water interface of an unconformity reservoir according to the present invention.
Step 101: acquiring an actual production curve of drilled wells in the unconformity oil reservoir; the method comprises the following steps:
step 1011, acquiring actual production data of drilled wells in the unconformity oil reservoir;
the main production data of the drilled oil well comprise oil production, liquid production, water content and the like, and the drilled oil well has the characteristic of strong continuity and can correspond to a curve with a certain trend. Therefore, in practical application, at least one of the production data can be selected as the actual production data, and then the actual production curve can be obtained.
However, due to the influence of factors such as shut-in operation, sudden well opening after closing, well workover measures and the like, production data of an oil well has the characteristic of large fluctuation and the like, and the production dynamics has the conditions of high and low fluctuation, large fluctuation range up and down or abnormal values, which directly causes the data quality to be low and cannot be directly used for data mining and reprocessing. Based on this, preprocessing is needed to be performed on the curve abnormal value to improve the data quality, which is beneficial to the precision and performance of the subsequent learning process. The data preprocessing may include scrubbing of data.
Specifically, because the production data sometimes fluctuate greatly, firstly, deleting samples containing mutation values is carried out, so as to correct points with large variation amplitude in the data sequence; and respectively deleting and filling and supplementing abnormal values or missing values in the production data, and determining the most probable values by adopting a regression algorithm during supplementation, so that the deleted and supplemented samples can be used for learning and can completely reflect the distribution state of the original data and be infinitely close to the real situation.
And step 1012, determining an actual production curve of drilled wells in the unconformity oil reservoir according to the actual production data.
On the basis of actual production data, determining independent variables and dependent variables (for example, "production time" is an independent variable, and "water content" is a dependent variable), and drawing a graph of the relation of the dependent variable with respect to the independent variable in a rectangular coordinate system by a mathematical statistics method, wherein the graph is an actual production curve of a drilled well.
In addition, in the process, the data of the floating change can be smoothed and integrated by a linear regression analysis method, so that the noise caused by data fluctuation is eliminated, and the actual production curve is further close to the real situation.
The actual production curve can better find the hidden rule in the production data, and is convenient for subsequent data processing and learning. Taking the water content of 14-6 wells in the forest of the non-integrated oil reservoir in the Minnan oil extraction plant of the Shengli oil field as an example, fig. 3 shows a schematic diagram of an actual production curve of the water content of 14-6 wells in the forest.
Step 102: acquiring a theoretical production curve of an unconformity oil reservoir under the condition of oil-water interfaces at different depths; the method comprises the following steps:
step 1021, acquiring characteristic parameters of the unconformity oil reservoir;
the characteristic parameters of the unconformity oil reservoir mainly comprise a stratigraphic dip angle, an oil layer thickness, a strip width, a reservoir permeability and the like, can be obtained through means of exploratory well data, geological statistics and the like, and each parameter can determine a value range according to existing geological knowledge of the actual unconformity oil reservoir and data obtained through actual field tests.
Step 1022, establishing an unconformity oil reservoir numerical simulation model by an oil reservoir numerical simulation method according to the characteristic parameters;
the reservoir numerical simulation method is a numerical method for solving a mathematical model for describing fluid seepage characteristics in a reservoir. The numerical method is an approximate solution, that is, a discrete method is used to convert a continuous function into a discrete function, and a computer is used to solve the discrete function.
Based on the recognition of the geological attribute characteristics of different oil reservoirs, the characteristic information of parameters such as a structural inclination angle, permeability and the like is directly input, and an unconformity oil reservoir numerical simulation model which truly reflects specific information can be quickly established and generated through an oil reservoir numerical simulation method.
And 1023, determining a theoretical production curve of the unconformity oil reservoir under the conditions of oil-water interfaces at different depths based on the unconformity oil reservoir numerical simulation model.
Based on each value range given by the parameters of the unconformity reservoir, the combination of different parameters required for establishing a numerical simulation model is obtained by utilizing an exhaustion method, the parameters are input by combining the value ranges of all considered parameters (for example, the characteristics of the unconformity reservoir are that the stratum inclination angle is 9 degrees, the oil layer thickness is 3m, the strip width is 50m, the reservoir permeability is 200md, the oil-water interface depth is 1000m, or the stratum inclination angle is 10 degrees, the oil layer thickness is 2m, the strip width is 100m, the reservoir permeability is 300md, the oil-water interface depth is 1010m and the like), the parameters are solved by adopting a numerical method, the fluid flow in the unconformity reservoir is described, the result of theoretical calculation is obtained, and the theoretical production curve capable of reflecting the distribution of different oil-water interfaces is finally determined.
The type of theoretical production curve may be selected based on the type of actual production curve acquired in step 101 for the drilled well. Taking the water content of 14-6 wells in the forest in the non-integrated oil reservoir of the southaman oil production plant of the Shengli oil field as an example, the theoretical production curve of the obtained water content can be shown as fig. 4. The multiple curves in fig. 4 represent the water content production curves for different depth oil-water interfaces, respectively.
Step 103: based on the actual production curve and the theoretical production curve, calculating the similarity ranking of the actual production curve of the drilled well and the theoretical production curve under the condition of different depth oil-water interfaces; the method comprises the following steps:
step 1031, putting the actual production curve and the theoretical production curve into the same plane rectangular coordinate system;
a plane rectangular coordinate system is established, the abscissa represents the production time, and the ordinate represents the water content (or the oil production amount or the liquid production amount), and the actual production curve and the theoretical production curve are put into the plane rectangular coordinate system for comparison (as shown in fig. 5).
Step 1032, acquiring a plurality of discrete points on an actual production curve;
specifically, a plurality of discrete points may be randomly obtained on the actual production curve, or points on the actual production curve corresponding to a plurality of points uniformly distributed on the abscissa may be taken as the discrete points.
1033, calculating the variance of the theoretical production curve of the distances between the discrete points under the condition of oil-water interfaces of different depths;
based on the probability and the statistical principle, the variance of the theoretical production curve with different distances (under the condition of different depth oil-water interfaces) of a plurality of discrete points on the actual production curve is calculated.
Step 1034, determining a similarity ranking of the actual production curve of the drilled well relative to the theoretical production curve under the condition of different depths of oil-water interfaces according to the variance.
And according to the calculated variance value, comparing the similarity of the actual production curve and different theoretical production curves, and determining the similarity ranking of the actual production curve and each theoretical production curve.
In addition, a related fitting comparison algorithm can be adopted, and the similarity ranking of the actual production curve and each theoretical production curve can be directly obtained by means of a computer.
Step 104: and predicting the depth range of the oil-water interface of the unconformity oil reservoir according to the similarity ranking. The method comprises the following steps:
step 1041, obtaining theoretical production curves with first and second similarity ranks according to the similarity ranks;
the acquired "actual production profile of the drilled well" may be a production profile for a single well or a production profile for multiple wells. For example, when the production curve of a single well is, the first two ranked similarity degrees of the actual production curve and the theoretical production curve of the well can be taken to predict the depth range of the oil-water interface of the unconformity reservoir; when the production curve is a multi-well production curve, the similarity ranking of the actual production curve and the theoretical production curve of each well can be obtained firstly, and then the first two similarity rankings are taken to predict the depth range of the oil-water interface of the unconformity oil deposit.
And 1042, predicting the depth range of the oil-water interface of the unconformity oil reservoir according to the oil-water interface depths corresponding to the theoretical production curves of the first and second similarity ranks.
According to the theoretical production curve, the oil-water interface depths corresponding to the first theoretical production curve and the second theoretical production curve with the similarity ranking can be predicted, and therefore the depth range of the oil-water interface of the unconformity oil reservoir is finally predicted.
In addition, on the basis of the embodiment of the invention, the first few names (for example, the first three names and the first five names) with similarity ranking can be taken, and the depth of the oil-water interface of the unconformity oil reservoir can be directly predicted by adopting a weighted average method.
According to the prediction method of the oil-water interface of the unconformity oil reservoir, firstly, an actual production curve of a drilled well and a theoretical production curve under the condition of oil-water interfaces at different depths are obtained, similarity ranking is carried out on the actual production curve and the theoretical production curve, and the depth range of the oil-water interface of the unconformity oil reservoir is predicted by taking the minimum similarity as a target. Because the actual production data of the drilled well is the first-hand data which can be obtained after production, and the characteristics of the actual production data are closely related to the depth of an oil-water interface, the depth range of the oil-water interface of the unconformity oil deposit can be more accurately predicted by combining the actual production curve with the theoretical production curve.
It is understood that the "actual production curve" and the "theoretical production curve" are curves corresponding to the same dimension, that is, under the rectangular coordinate system, the two curves have the same variable and factor, for example, the curves corresponding to different production times are selected.
On the other hand, an embodiment of the present invention further provides a prediction apparatus for an unconformity reservoir oil-water interface, as shown in fig. 2, the apparatus includes:
a first obtaining module 201, configured to obtain an actual production curve of a drilled well in an unconformity reservoir;
the second obtaining module 202 is configured to obtain a theoretical production curve of an unconformity oil reservoir under the conditions of oil-water interfaces at different depths;
the calculation module 203 is used for calculating the similarity ranking of the drilled actual production curve and the theoretical production curve under the condition of different depth oil-water interfaces based on the actual production curve and the theoretical production curve;
and the predicting module 204 is used for predicting the depth range of the oil-water interface of the unconformity oil reservoir according to the similarity ranking.
Optionally, the first obtaining module 201 includes:
the first acquisition unit is used for acquiring actual production data of drilled wells in the unconformity oil reservoir;
and the first prediction unit is used for determining the actual production curve of the drilled well in the unconformity oil reservoir according to the actual production data.
Wherein, the actual production data can be at least one of oil production, liquid production and water content data.
Optionally, the second obtaining module 202 includes:
the second acquisition unit is used for acquiring the characteristic parameters of the unconformity oil reservoir;
the building unit is used for building an unconformity oil reservoir numerical simulation model through an oil reservoir numerical simulation method according to the characteristic parameters;
and the second prediction unit is used for determining a theoretical production curve of the unconformity oil reservoir under the condition of oil-water interfaces at different depths based on the unconformity oil reservoir numerical simulation model.
The characteristic parameters may include formation dip, reservoir thickness, strip width, reservoir permeability, etc., among others.
Optionally, the calculating module 203 includes:
the third acquisition unit is used for putting the actual production curve and the theoretical production curve into the same plane rectangular coordinate system;
the fourth acquisition unit is used for acquiring a plurality of discrete points on the actual production curve;
the calculation unit is used for calculating the variance of theoretical production curves of the distances between the discrete points under the condition of oil-water interfaces with different depths;
and the third prediction unit is used for determining the similarity ranking of the actual production curve of the drilled well relative to the theoretical production curve under the condition of different depth oil-water interfaces according to the variance.
Optionally, the prediction module 204 includes:
the fifth acquisition unit is used for acquiring the first and second theoretical production curves with the similarity ranking according to the similarity ranking;
and the fourth prediction unit is used for predicting the depth range of the oil-water interface of the unconformity oil reservoir according to the oil-water interface depths corresponding to the theoretical production curves of the first and second similarity ranks.
According to the prediction device for the oil-water interface of the unconformity oil reservoir, firstly, an actual production curve of a drilled well and a theoretical production curve under the condition of oil-water interfaces at different depths are obtained, similarity ranking is carried out on the actual production curve and the theoretical production curve, and the depth range of the oil-water interface of the unconformity oil reservoir is predicted by taking the minimum similarity as a target. Because the actual production data of the drilled well is the first-hand data which can be obtained after production, and the characteristics of the actual production data are closely related to the depth of an oil-water interface, the depth range of the oil-water interface of the unconformity oil deposit can be more accurately predicted by combining the actual production curve with the theoretical production curve.
It should be noted that, when the prediction apparatus for an oil-water interface of an unconformity reservoir provided in the foregoing embodiment predicts a depth range of the oil-water interface of the unconformity reservoir, only the division of the function modules is illustrated, and in practical applications, the function distribution may be completed by different function modules according to needs, that is, the internal structure of the apparatus may be divided into different function modules, so as to complete all or part of the functions described above. In addition, the prediction device of the unconformity oil-water interface provided by the above embodiment and the prediction method embodiment of the unconformity oil-water interface belong to the same concept, and the specific implementation process is detailed in the method embodiment and is not described herein again.
It will be understood by those skilled in the art that all or part of the steps of implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only for facilitating the understanding of the technical solutions of the present invention by those skilled in the art, and is not intended to limit the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (2)
1. The prediction method of the oil-water interface of the unconformity oil reservoir is characterized by comprising the following steps:
step 1, acquiring an actual production curve of drilled wells in an unconformity oil reservoir;
step 2, acquiring a theoretical production curve of the unconformity oil reservoir under the condition of oil-water interfaces at different depths;
step 3, calculating the similarity ranking of the actual production curve of the drilled well and the theoretical production curve under the condition of different depth oil-water interfaces based on the actual production curve and the theoretical production curve;
step 4, predicting the depth range of the oil-water interface of the unconformity oil reservoir according to the similarity ranking;
the step 1 comprises the following steps:
step 1a, acquiring actual production data of drilled wells in an unconformity oil reservoir, wherein the actual production data is at least one of oil production amount data, liquid production amount data and water content data;
step 1b, determining an actual production curve of drilled wells in the unconformity oil reservoir according to actual production data;
the step 2 comprises the following steps:
step 2a, acquiring characteristic parameters of the unconformity oil reservoir, wherein the characteristic parameters comprise a stratum inclination angle, an oil layer thickness, a strip width and a reservoir permeability;
step 2b, establishing an unconformity oil reservoir numerical simulation model through an oil reservoir numerical simulation method according to the characteristic parameters;
step 2c, determining a theoretical production curve of the unconformity oil reservoir under the condition of oil-water interfaces at different depths based on the unconformity oil reservoir numerical simulation model;
the step 3 comprises the following steps:
step 3a, putting the actual production curve and the theoretical production curve into the same plane rectangular coordinate system;
step 3b, acquiring a plurality of discrete points on the actual production curve;
step 3c, calculating the variance of theoretical production curves of the distances between the discrete points under the condition of oil-water interfaces at different depths;
step 3d, determining the similarity ranking of the actual production curve of the drilled well relative to the theoretical production curve under the condition of oil-water interfaces of different depths according to the variance;
step 4 comprises the following steps:
step 4a, selecting theoretical production curves with first and second similarity ranks according to the similarity ranks and sorting according to the similarity magnitude in a descending order;
and 4b, predicting the depth range of the oil-water interface of the unconformity oil reservoir according to the oil-water interface depths corresponding to the theoretical production curves of the first and second similarity ranks.
2. Prediction device of unconformity oil reservoir oil water interface, its characterized in that, this prediction device includes:
the first acquisition module is used for acquiring an actual production curve of a drilled well in an unconformity oil reservoir;
the second acquisition module is used for acquiring a theoretical production curve of the unconformity oil reservoir under the condition of oil-water interfaces at different depths;
the calculation module is used for calculating the similarity ranking of the actual production curve of the drilled well and the theoretical production curve under the condition of different depth oil-water interfaces based on the actual production curve and the theoretical production curve;
the prediction module predicts the depth range of the oil-water interface of the unconformity oil reservoir according to the similarity ranking;
the first obtaining module comprises:
the first acquisition unit is used for acquiring actual production data of drilled wells in the unconformity oil reservoir;
the first prediction unit is used for determining an actual production curve of drilled wells in the unconformity oil reservoir according to actual production data;
wherein the actual production data is at least one of oil production amount, liquid production amount and water content data;
the second acquisition module includes:
the second acquisition unit is used for acquiring characteristic parameters of the unconformity oil reservoir;
the building unit is used for building an unconformity oil reservoir numerical simulation model through an oil reservoir numerical simulation method according to the characteristic parameters;
the second prediction unit is used for determining a theoretical production curve of the unconformity oil reservoir under the condition of oil-water interfaces at different depths based on the unconformity oil reservoir numerical simulation model;
wherein the characteristic parameters comprise a stratum inclination angle, an oil layer thickness, a strip width and a reservoir permeability;
the calculation module comprises:
the third acquisition unit is used for putting the actual production curve and the theoretical production curve into the same plane rectangular coordinate system;
the fourth acquisition unit is used for acquiring a plurality of discrete points on the actual production curve;
the calculation unit is used for calculating the variance of theoretical production curves of the distances between the discrete points under the conditions of oil-water interfaces at different depths;
the third prediction unit is used for determining the similarity ranking of the actual well-drilled production curve relative to the theoretical production curve under the condition of different depth oil-water interfaces according to the variance;
the prediction module comprises:
the fifth acquisition unit is used for acquiring the first and second theoretical production curves with the similarity ranks according to the similarity ranks;
and the fourth prediction unit predicts the depth range of the oil-water interface of the unconformity oil reservoir according to the oil-water interface depths corresponding to the theoretical production curves of the first and second similarity ranks.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910298435.1A CN110059400B (en) | 2019-04-15 | 2019-04-15 | Prediction method and device for oil-water interface of unconformity oil reservoir |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910298435.1A CN110059400B (en) | 2019-04-15 | 2019-04-15 | Prediction method and device for oil-water interface of unconformity oil reservoir |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110059400A CN110059400A (en) | 2019-07-26 |
| CN110059400B true CN110059400B (en) | 2022-04-19 |
Family
ID=67317652
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910298435.1A Active CN110059400B (en) | 2019-04-15 | 2019-04-15 | Prediction method and device for oil-water interface of unconformity oil reservoir |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110059400B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2009139869A (en) * | 2009-10-28 | 2011-05-10 | Государственное образовательное учреждение высшего профессионального образования "Башкирский государственный университет" (RU) | DEVICE FOR MEASURING THE BOUNDARIES OF THE PHASE SECTION |
| CN105550773A (en) * | 2015-12-10 | 2016-05-04 | 中国石油天然气股份有限公司 | Method and device for predicting position of oil-water interface |
| CN107288618A (en) * | 2016-03-31 | 2017-10-24 | 中国石油化工股份有限公司 | A kind of fracture-pore reservoir oil-water interfaces determine method and system |
| CN109034447A (en) * | 2018-06-14 | 2018-12-18 | 中国石油天然气股份有限公司 | A kind of prediction technique and device of the variation of water-drive pool water_bearing escalating rate |
-
2019
- 2019-04-15 CN CN201910298435.1A patent/CN110059400B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2009139869A (en) * | 2009-10-28 | 2011-05-10 | Государственное образовательное учреждение высшего профессионального образования "Башкирский государственный университет" (RU) | DEVICE FOR MEASURING THE BOUNDARIES OF THE PHASE SECTION |
| CN105550773A (en) * | 2015-12-10 | 2016-05-04 | 中国石油天然气股份有限公司 | Method and device for predicting position of oil-water interface |
| CN107288618A (en) * | 2016-03-31 | 2017-10-24 | 中国石油化工股份有限公司 | A kind of fracture-pore reservoir oil-water interfaces determine method and system |
| CN109034447A (en) * | 2018-06-14 | 2018-12-18 | 中国石油天然气股份有限公司 | A kind of prediction technique and device of the variation of water-drive pool water_bearing escalating rate |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110059400A (en) | 2019-07-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| RU2669948C2 (en) | Multistage oil field design optimisation under uncertainty | |
| US20100191514A1 (en) | Method, Program and Computer System for Scaling Hydrocarbon Reservoir Model Data | |
| CN111461386B (en) | Shale gas dessert prediction method based on BP neural network | |
| CN109115987B (en) | Rock physical model-based fluid factor evaluation method and device | |
| US20230111179A1 (en) | Predicting oil and gas reservoir production | |
| CN113608265A (en) | Reservoir prediction method based on deep hybrid neural network | |
| Correia et al. | Reservoir characterization using electrofacies analysis in the sandstone reservoir of the Norne Field (offshore Norway) | |
| CN106501146B (en) | Method and device for determining physical upper limit of tight oil reservoir | |
| NO20171058A1 (en) | Integrated a priori uncertainty parameter architecture in simulation model creation | |
| CN112576238B (en) | System, method and application for determining position and content of residual oil in low-permeability reservoir | |
| CN111472763B (en) | Stratum thickness prediction method and device | |
| CN110059400B (en) | Prediction method and device for oil-water interface of unconformity oil reservoir | |
| CN111677486A (en) | Compact oil carbon dioxide huff and puff simulation method and device and storage medium | |
| Khilrani et al. | Contrasting machine learning regression algorithms used for the estimation of permeability from well log data | |
| CN107368688B (en) | Method and device for determining marine single sand body | |
| CN106504107B (en) | A kind of method and device of determining oil reservoir perforation layer position | |
| CN110851982B (en) | Method for analyzing feasibility of oxygen reduction air flooding of medium-low permeability oil reservoir | |
| CN111287739B (en) | Residual oil distribution prediction method based on stratum crude oil viscosity | |
| CN113010501A (en) | Recovery ratio prediction model obtaining method, recovery ratio prediction method and product | |
| CN111428375A (en) | Novel high-water-content oilfield layer system recombination and division method | |
| CN110930020A (en) | Method for determining economic recoverable resource amount of unconventional oil and gas resources | |
| CN110442950B (en) | Multi-factor fusion residual oil distribution prediction graph compiling method | |
| US20220205359A1 (en) | Systems and methods for back-allocation of oil produced by waterflooding | |
| CN116401849A (en) | Multi-factor coupled prediction method for thick-layer strong water heavy oil reservoir potential area | |
| US20240093592A1 (en) | Quantification of pore-filling dolomite and calcite cement in carbonate reservoirs in post hydrocarbon charge stage |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |