KR101131517B1 - Processing system and method for subsurface information in oil sands reservoir using statistical analysis of well logging data - Google Patents

Abstract

PURPOSE: A processing system of oil sand region underground information and a processing method thereof are provided to effectively create three-dimensional information with respect to materials within an air gap, hydrocarbon within a stratum, or lithofacies of the stratum. CONSTITUTION: A well logging image loading part(510) loads a well logging image which is a result from statistically analyzing physical well logging data. An interpretation of underground information or information with respect to materials within an air gap is visually displayed through a plurality of boreholes. A correlation interpretation part(520) interprets a correlation based on the well logging image inputted from the well logging image loading part. A reference surface setting part(530) displays a correlation interpretation result of the correlation interpretation part on a vertical surface as a plurality of identical reference surfaces. A contour line formation part(540) forms a contour line based on reference surface information. A three-dimensional information processing part(550) calculates a distance difference between surfaces with respect to an identical physical well logging acquisition position and displays a calculation result into a three-dimensional spatial image.

Description

Processing system and method for subsurface information in oil sands reservoir using statistical analysis of well logging data}

The present invention relates to a technology capable of efficiently three-dimensional three-dimensional information of the rock information in the strata, or the hydrocarbon or void material information in the strata.

Most of the conventional methods for classifying the information on the rocks in the strata according to their type and condition have been carried out based on empirical judgments of the minority geologists, and as a result, they are not based on quantitative numerical values. Has been shown. Many other fields have tried various methods to classify objects in an objective and automated way, but there is no remarkable automatic analysis method for geological materials such as stone and rock.

In order to understand the physical characteristics of the rock in the underground, there is a method of drilling the borehole and inserting the device into the borehole to analyze the physicochemical properties of the borehole in the borehole using an electronic device to form the physical logging data.

Among the physical logging data of boreholes, the properties reflecting the physiologic properties of the borehole are different depending on the structure, the mineral composition of the rock, the sedimentary structure, and the fluid in the voids. Various methods have been proposed to distinguish geologically meaningful strata. The units of each strata classified by the combination of log data and certain attribute values are called the Electrofacies. The methods of statistically classifying digitized logging data for the classification of logging phases are divided into cluster analysis and discriminant analysis.

However, the physical logging data for the above-mentioned strata is difficult to have objectivity because of the subjective interpretation of the interpreter's background knowledge. In particular, for the interpretation of the physical logging data for a particular strata, the analysis using printed materials or terminals is difficult. It's common and runs into a time-consuming limit.

In addition, the physical log analysis through the statistical approach currently developed is only a study on the numerical analysis based on statistics that are not given geological meaning. Furthermore, the physical log analysis through the statistical approach currently developed is Only single borehole logging data has been analyzed.

In addition, until now, geologists have analyzed the forward direction in which the physical logging data are directly interpreted based on the core description data, but the reverse analysis (based on the analysis results of the physical logging data, Analogy) is not performed, and in particular, there is no set work schedule. In particular, in the case of oil sand exploration and production blocks, a large number of physical logging data exist, but the lack of rock core data poses a significant limitation in conducting geological research.

In particular, there is no solution to the problem of frequent dry hole exploration as compared to the frequent exploration performed according to the development needs of resources based on hydrocarbons such as oil and gas. Although physical logging data exist, the interpretation of this data entails enormous time and cost, and is subject to practical limitations.

In addition, there is a growing need for a processing system for efficiently processing such underground rock information or material information in voids such as hydrocarbons.

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems, and an object of the present invention is to predict physical rock formations and hydrocarbons in a wide range of rock formations based on a few core data in predicting rock formations and fluids in voids. It is to provide the underground information processing system and method that can convert the underground information of the section into reprocessed data using the spatial distribution model to improve the efficiency of data processing and analysis.

As a means for solving the above-mentioned problems, the present invention is a result of the statistical analysis of physical logging data to visually express the information about the material in the gap or the interpretation based on the underground information through a plurality of boreholes Loading the phase; Performing a correlation analysis based on the two-dimensional analysis result on the log; Setting a reference plane based on a correlation analysis result and forming a contour line based on the reference plane; To provide a method of processing underground information on oil sands using statistical analysis results of physical logging data, including

In addition, in the first step, the loaded bed is a geological column for a rock phase restored through statistical analysis of a plurality of core data, or a hydrocarbon or a material in the pores by depths restored through a statistical analysis of a plurality of core data. Information.

In particular, the above-described two steps may be configured to display similar probabilities for the most similar pattern among the log images of the boreholes adjacent to each other and select the most similar probability points.

In addition, the step 3, a 1) expressing the correlation analysis results of the step 2 in a plurality of the same reference plane in the vertical section; a 2) manufacturing a contour line based on information of a reference plane set for each borehole; As shown in FIG.

In addition, after the step 3, if there are two or more contour lines, the step of calculating the distance difference between the plane and the plane for the same physical log acquisition point, and displaying the calculation result in a three-dimensional spatial image; It may be configured to include more.

The system implementing the above-described processing method may be implemented as follows.

Specifically, the log phase loading unit for loading the log phase which is the result of statistically analyzing the physical log data in order to visually represent the interpretation of the underground information based on the strata through the plurality of boreholes or the information on the material in the void; A correlation analysis unit for performing a correlation analysis based on the logging image inputted from the logging phase loading unit; A reference plane setting unit for displaying a correlation analysis result of the correlation analysis unit as a plurality of same reference planes on a vertical section; Contour line production unit for producing a contour line based on the information on the reference plane; It can be implemented as a processing system for underground information in oil sands using statistical analysis results of physical logging data including.

In this case, the logging phase is characterized in that the geological columnar or hydrocarbon or material information in the pores for each depth of the rock phase restored through statistical analysis based on the core data for a plurality of boreholes.

In addition, when there are two or more produced contours, a three-dimensional information processing unit for calculating the distance difference between the plane and the plane with respect to the same physical logging acquisition point, and displays the calculation result in a three-dimensional spatial image; It may be configured to include more.

In addition, a program for processing the oil sand region underground information processing method using the statistical analysis results of the physical logging data or the oil sand region underground information processing system using the statistical analysis results of the physical logging data according to the present invention The computer-readable recording medium may be implemented.

According to the present invention, in predicting rock formations in a stratum, based on a few core data, physical logging data on a wide range of rock formations or underground information on hydrocarbon existence zones are rapidly converted into reprocessing data using a spatial distribution model. Thus, data processing and analysis can increase efficiency.

1A and 1B illustrate a process of forming a log phase which is a result of statistically analyzing physical log data which is an object to which the processing system for oil sand underground information using the statistical analysis result of the physical log data according to the present invention is applied. This is a flowchart for explanation.
2 is a system block diagram for performing the analysis of FIGS. 1A and 1B.
FIG. 3 shows an example in which the geological columnarity is restored by correlating the restoration to the unit logging phase by the rock formation set by the logging phase determination unit using the above-described system.
Figure 4 shows the image of the actual geological columnar restoration after the non-hierarchical clustering analysis for all the physical logging data to be analyzed.
5 and 6 illustrate the results of restoring fluid information (hydrocarbon or material information in the pores) in the pores using the above-described system.
7 is a block diagram of a processing system for underground information in an oil sand region using statistical analysis results of physical logging data according to the present invention.
Referring to FIG. 8, this illustrates an example of a log image restored through the system of FIG. 2.
9 shows a process of correlating multiple log images.
10 illustrates that the correlation analysis result shown through the correlation analysis described above is represented by a plurality of identical reference planes in a vertical section.
11 illustrates a contour line manufactured by the contour liner.
FIG. 12 illustrates a process of calculating the difference between planes for the same physical logging point when two or more contours are produced, and FIG. 13 illustrates a three-dimensional space using the result of the difference between planes. The result of the analysis is shown.

Hereinafter, with reference to the accompanying drawings will be described in detail the configuration and operation according to the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS In the following description with reference to the accompanying drawings, the same reference numerals denote the same elements regardless of the reference numerals, and redundant description thereof will be omitted. Terms such as first and second may be used to describe various components, but the components should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another.

1. Restoration of Rock or Fluid Information in Strata Using Statistical Analysis of Physical Log Data

Referring to FIGS. 1A and 1B, this is a log image which is a result of statistically analyzing physical logging data which is an object to which the processing system of oil sand underground information using the statistical analysis result of physical logging data according to the present invention is applied. It is a flowchart for demonstrating the formation process.

As shown, the process of restoring the geological column or restoring the hydrocarbon column or material in the borehole through statistical analysis from a plurality of core data obtained through the borehole in a specific target area underground is the borehole in which the core data exists. After selecting physical log data for statistical criteria, forming log beds, and performing non-hierarchical clustering analysis of the entire study area, we can restore geological columnar, hydrocarbon or void materials. Will be.

To illustrate this in more detail, referring to FIG. 2, this is a block diagram for explaining a system for efficiently identifying physical logging data for a wide range of rocks based on a few core data in predicting rock formations in the strata. to be.

As shown in FIG. 2, a system for resolving underground information based on strata or restoring information about a material in a void through a plurality of boreholes is basically a plurality of boreholes for a plurality of boreholes in a geological restoration target area. A core database 100 including core data, physical logging data, and core base data is provided.

The representative rock phases are classified based on the core data and core base data of the core database 100, and statistical reference values are selected based on the core data of the plurality of boreholes in the target area for the logging phase. A logging phase determination unit 200 may be provided to determine the logging phase by checking the density of the data for the selected attribute value of the measurement section for each rock phase. Of course, the logging phase determination unit 200, if the restoration target to restore the hydrocarbon or the material in the pores on the basis of the core base material data for a plurality of boreholes in the logging recovery area by individual properties for these materials It can be configured to determine the log image.

In addition, the statistical analysis unit 300 performs statistical analysis on the physical logging data of the entire area of the logging phase based on the property values determined by the logging phase determination unit and the lipid based on the result values calculated by the statistical analysis unit. It is configured to include a log phase recovery unit 400 for restoring columnarity or restoring the material in the hydrocarbon or voids.

The core database 100 may include a core data database 110 in which core data secured in a plurality of boreholes is classified, and a physical log data database 120 having physical log data for a plurality of boreholes. .

In addition, the logging phase determination unit 200, as shown in FIG. 2, the representative rock or hydrocarbon or the material in the void based on the core base material data for a plurality of boreholes in the logging phase restoration area in the core database Based on the physical logging data of the borehole where the core data and the physical logging data coexist among the plurality of borehole data on the core database and the analysis target discrimination unit 210 for distinguishing, the physical logging suitable for distinguishing the rock phase or the substance in the hydrocarbon or voids. A physical curve selection 220 for selecting a curve may be provided. In addition, the logging phase determination unit 200 selects a statistical reference value by selecting the borehole physical logging data for statistical criteria from the physical logging data of the borehole in which core data exists among the plurality of borehole data. ) And the pre-processing unit 240 for classifying the physical logging data selected as the statistical reference value for each of the same rock phases or materials having the same properties, and for the selected attribute values of the vertical measurement section of each borehole selected by the pre-processing unit. It may be configured to include a determination unit 250 for determining the logging phase by checking the density of the data for each rock phase.

The statistical analysis unit 300 calculates an average of individual attribute values based on the determined log image based on the statistical reference value determined by the log phase determination unit and the average of each log phase as reference values for statistical analysis. It may be configured to include an analysis unit 330 for performing a statistical analysis on the physical logging data of the entire area to restore the logging site based on the reference value input from the logging phase reference input unit 320 to input.

The logging phase restoration unit 400 restores the analysis logging phase generated after the statistical analysis to vertical resolution unit logging phase per individual borehole for the unclear borehole based on the logging phase determined by the logging phase determination unit 410. ), The analysis target restoring unit 420 for restoring the geological columnarity or restoring the information on the hydrocarbon or the material in the pore by matching the logging phase restored in the unit restoring unit for each logging phase determined in the logging phase determination unit. It can be configured to include.

FIG. 3 shows an example in which the geological columnarity is restored by correlating the restoration to the unit logging phase by the rock formation set by the logging phase determination unit using the above-described system. The rightmost column in Fig. 3 shows the restoration of the geological columnar map (part of User Set 1). {1) Scale at which the actual physical logging value is shown; ② depth; ③ Columns 2, 3, and 4 are physical log data used for non-hierarchical cluster analysis, and column 5 is the distribution of cluster analysis results; ④ Electrofacies}

FIG. 4 shows the log phases set by the working log phase determination unit through the depth per log bore depth versus log phase distribution data (right picture; c) generated after non-hierarchical cluster analysis for all the physical log data to be analyzed. The image shows a reconstruction of the actual geological columnar figure (left figure; a) by applying a rock image (center figure; b). In this way, the process of restoring the data without core-based data to the geological columnar from the log bed generated through statistical analysis is defined as reverse transformation. These inverse transformations yield similar results to the analysis even if a large number of borehole physical logging data are not interpreted. Actual core substrate results and cluster analysis results show accuracy that is approximately 88.6%.

FIG. 5 shows the results of restoring fluid information (hydrocarbon or material information in the pores) in the pores using the system described above.

Subsequently, as shown in FIG. 5, the restoration in the unit logging phase corresponds to the material in the gap set by the logging phase determination unit 200 to restore hydrocarbon or material information in the gap by depth. The scale at which the value is shown; ② depth; ③ Columns 2, 3, 4, and 5 are physical logging data used for non-hierarchical cluster analysis; ④ Electrofacies; ⑤ material in the pores restored from the log bed}

Referring to FIG. 6, for all physical logging data to be analyzed, the work logging log determination unit 200 is performed through the depth per log drilling depth versus the log distribution data generated after the non-hierarchical cluster analysis (right picture; c). The material in the air gap by the depth of the underground (left picture; a) is restored by applying the material in the air gap for each bed phase set in (B). In this way, the process of restoring the data without core-based data to the material in the pores from the log image generated through statistical analysis is defined as reverse conversion. The inverse transformation yields results similar to the interpretation even if a large number of borehole physiologic data are not interpreted. A very similar result can be obtained by achieving a concordance of about 84.0% with the actual core substrate product of the hydrocarbon or the material in the pores.

That is, based on the physical logging data based on a few core data interpreted through the above-described system, it is possible to restore rock information in the strata or to easily and accurately determine the existence of hydrocarbons.

2. Underground Information in Oil Sands Area Using Statistical Analysis of Physical Log Data

The present invention is to provide a processing system (hereinafter referred to as the 'main system') that processes the information on the logging obtained by using the statistical analysis results of the above-described physical logging data and implements it into three-dimensional information. There is a gist.

As shown in FIG. 7, the system includes a log image which is a result of statistically analyzing physical logging data in order to visually express underground information based on stratigraphy or information about a material in a gap through a plurality of boreholes. A correlation analysis unit 520 for performing a correlation analysis based on the logging phase loading unit 510 and a logging image inputted from the logging phase loading unit, and the correlation analysis results of the correlation analysis unit in a plurality of vertical reference planes. It may be configured to include a reference plane setting unit 530 to display and a contour production unit 540 for producing a contour line based on the information on the reference plane. Furthermore, when the produced contour lines are two or more, the apparatus further includes a three-dimensional information processing unit 550 for calculating a distance difference between the surfaces with respect to the same physical logging point and displaying the calculation result as a three-dimensional spatial image. Can be configured.

Detailed operation principle described above will be described with reference to the accompanying drawings.

Underground information processing method (hereinafter referred to as 'the present method') of the oil sand region using the statistical analysis results of the physical logging data using the present system is based on the ground information through a plurality of boreholes. Step 1 of loading the log phase, which is the result of statistical analysis of physical logging data, to visually express information about the material in the analysis or voids; and step 2 of performing correlation analysis based on the two-dimensional analysis result of the log; And setting a reference plane based on the correlation analysis result and forming a contour line based on the reference plane.

1. Loading phase on logging

Specifically, the logging bed loading unit 510 is a log image that is the result of statistical analysis of physical logging data in order to visually express the above-mentioned underground information based on the strata or to visually express information about the material in the void. Electrofacies) are prepared and loaded. The logging phase is the geological data restored through the system of FIG. 2, and the geological columnar or the plurality of core data of the rock phase restored through statistical analysis of the plurality of core data were recovered through statistical analysis. Information.

Referring to FIG. 8, this illustrates an example of a log image restored through the system of FIG. 2.

The classification of the physical logging data into consecutive values recorded by the instrument is solely subject to the subjective judgment of the interpreter. Statistical analysis can be used as a method for processing a large number of physical logging data in a short time without such subjective views. Especially, when a non-hierarchical clustering method is used, an interpreter, such as a boundary of a layer or a material in a void, is set in advance. The boundary is made clear according to the standard, so an objective interpretation is possible. However, all the results using the above process, namely the stratigraphic reference plane by the electrofacies analysis and the material distribution pattern in the void, should be distributed in the space based on the mean sea level (Datum = MSL). 3 and 5, the data on the right side correspond to the restored log image.

2. Analysis phase of correlation

Subsequently, when statistical analysis is performed on all the physical logging data to be analyzed by the correlation analysis unit 520, a two-dimensional analysis of the physical logging data (the log phase), that is, the correlation analysis is performed. The correlation analysis described above shows similar probability for the most similar pattern among the logs of adjacent boreholes based on the well top set by the analyst, and automatically extends the most similar probability point, or solves the probability distribution. It can be implemented by looking at and arbitrarily selecting.

9 shows a process of correlating multiple log images.

Among the symbols shown, it is shown floating on one screen.

9 of FIG. 9 shows a number of log images displayed on one screen, and the symbol ② shows a point where an interpreter selects a point with a mouse based on the ①.

Thereafter, the symbol ③ represents the similarity of the mutual pattern with the point selected by the user on the log of the adjacent borehole according to the up / down pattern of the existing selection point in numerical value and color, so that the user can easily find the same point. , ④ shows that in the process of ③ above, the user interprets the same reference surface (Key-surface) by connecting ② and ④ with a line when the user clicks a point having a similar pattern at 90%.

3. Reference plane setting step

The correlation analysis result shown through the correlation analysis described above is represented by a plurality of identical reference planes in the vertical section in the reference plane setting unit 530.

FIG. 10 is a vertical cross-sectional view of the depth versus the log image, and the three horizontal lines are set to each geologically significant key-surface. Of course, the boundary of the material (water, hydrocarbons, etc.) in the pores can also be set.

4. Contour Linearity Stage

Thereafter, the contour forming unit 540 produces a contour based on the information on the boundary layer of the layered reference plane or the gap set for each borehole.

Referring to FIG. 11, this shows a contour line produced by the contour forming unit. When the geologically meaningful boundary is used as the data of the contour line according to the input criteria, the above figure can be used as a topographic map. In the case of the contours of the material in the pores, the above figure shows the spatial distribution of the material in the pores.

5. 3D data formation

Thereafter, the 3D information display unit 550 can reconstruct the information into three-dimensional three-dimensional information based on the produced contour lines.

12 illustrates a process of calculating a distance difference between a plane and a plane for the same physical logging acquisition point when two or more contours are manufactured, and FIG. 13 uses the result of the difference between the planes and planes. The analysis results in three-dimensional space are shown.

That is, in FIG. 12, the relative thickness can be calculated based on the difference between the planes, and the data can be used as the layer thickness when the result is between layers, and the bitumen when the difference is between the materials in the void. It can be used as information on the thickness of the gas, oil, water and the like.

Thereafter, it is possible to understand the underground information through the information obtained in FIG. 12, but the spatial distribution and cross-sectional information can be confirmed in real time through the three-dimensional information as shown in FIG. It can be easily utilized to understand the thickness or boundary of hydrocarbons and the amount of hydrocarbons present.

According to the treatment system and method according to the present invention, since the data are reconstructed based on data previously interpreted by a geologist, it is possible to implement an underground three-dimensional model that can easily apply geological meaning, and divide the three-dimensional model into multiple angles. As time goes by, it becomes possible to give detailed meaning.

In addition, it is possible to limit the subjectivity of the setting of the stratification reference plane and to increase the objective character. Also, it is possible to provide the basic data of the stratigraphy interpretation through the understanding of the vertical section of the strata.

In addition, it is easy to provide the location, section, thickness information of the storage layer using the spatial distribution model, and the volume value for calculating the hydrocarbon amount. The benefits of selecting a drilling point for the success of the development borehole are also realized.

Of course, the present system and method described above can easily illustrate the distribution patterns of not only an oil sand but also other resources that can be interpreted through physical logging data, such as gas, petroleum, and other non-traditional crude oil.

In the foregoing detailed description of the present invention, specific examples have been described. However, various modifications are possible within the scope of the present invention. The technical idea of the present invention should not be limited to the embodiments of the present invention but should be determined by the equivalents of the claims and the claims.

100: core database
110: core data database
120: Physical Log Data Database
200: logging phase determination unit
210: Analysis target division
220: physical curve selection
230: statistical standard setting unit
240: preprocessing unit
250: decision
300: statistical analysis
310: average calculation unit
320: logging criteria criteria input unit
330: analysis unit
400: Log Restoration Department
410: unit log restoration
420: Restoration Target
500: logging phase processing unit
510: log loading
520: correlation analysis
530: reference plane setting section
540: contour line
550: three-dimensional information processing unit

Claims (10)

A first step of loading a log image which is a result of statistical analysis of physical logging data in order to visually express underground information based on strata or a plurality of boreholes through a plurality of boreholes;
Performing a correlation analysis based on the two-dimensional analysis result of the logging phase, and displaying a similar probability for the most similar pattern among the logging phases of adjacent boreholes and selecting the most similar probability point;
Setting a reference plane based on the correlation analysis result and forming a contour line based on the reference plane; a 1) expressing the correlation analysis result of the second step as a plurality of identical reference planes in a vertical section; a 2) three steps of producing a contour line based on the information of the reference plane set for each borehole; including,
The loaded logging phase is a geological column for a rock phase restored through statistical analysis of a plurality of core data, or a physical logging layer which is material information in a pore for each hydrocarbon or depth reconstructed through statistical analysis of a plurality of core data. Process of underground information in oil sands area using statistical analysis of data.
delete delete delete delete The method according to claim 1,
After step 3,
Calculating the distance difference between the planes and the planes for the same physical logging point, and displaying the calculation result as a three-dimensional spatial image when two or more contour lines are present; Underground information processing method of oil sand using the statistical analysis results of physical logging data further comprising.
A log bed loading unit for loading a log bed which is a result of statistically analyzing physical log data in order to visually express underground information based on a strata or a plurality of boreholes; A correlation analysis unit for performing a correlation analysis based on the logging image inputted from the logging phase loading unit; A reference plane setting unit for displaying a correlation analysis result of the correlation analysis unit as a plurality of same reference planes on a vertical section; Contour line production unit for producing a contour line based on the information on the reference plane; And a three-dimensional information processing unit for calculating the distance difference between the planes and the planes with respect to the same physical log acquisition point, and displaying the calculation result as a three-dimensional spatial image when the produced contours are two or more.
The logging phase utilizes the results of statistical analysis of physical logging data, characterized in that it is geological columnar or hydrocarbon or material information in the pores by depth based on statistical analysis based on core data for a plurality of boreholes. An underground processing system for oil sands.

delete delete A computer-readable recording medium containing a program for performing the method of processing the underground information in the oil sands using the statistical analysis of the physical logging data of claim 1.

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