CN113027442A - Geomechanical parameter prediction method and device for river and lake facies shale oil - Google Patents

Geomechanical parameter prediction method and device for river and lake facies shale oil Download PDF

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CN113027442A
CN113027442A CN202110445547.2A CN202110445547A CN113027442A CN 113027442 A CN113027442 A CN 113027442A CN 202110445547 A CN202110445547 A CN 202110445547A CN 113027442 A CN113027442 A CN 113027442A
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刘成林
杨熙雅
臧起彪
卢振东
吴育平
杨韬政
吴云飞
李闻达
刘甜甜
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China University of Petroleum Beijing
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    • E—FIXED CONSTRUCTIONS
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Abstract

The invention provides a geomechanical parameter prediction method and a geomechanical parameter prediction device for river and lake shale oil, which are applied to a geomechanical parameter prediction system for the river and lake shale oil, the conventional logging information and a multivariate regression technology are utilized to establish the relationship between the conventional logging information and the geomechanical parameters, the logging parameters with better correlation with the geomechanical parameters are preferably selected, and a calculation formula of dynamic Young modulus and dynamic Poisson ratio is fitted. And researching the distribution characteristics of the geomechanical parameters of different types of reservoirs in the area to be tested by a dynamic Young modulus and a dynamic Poisson ratio formula, establishing geomechanical parameter division standards of the different types of reservoirs, and realizing efficient prediction of the geomechanical parameters. The method can effectively reduce the evaluation cost, can be widely applied, is favorable for optimizing a block with better geomechanical conditions, and can provide guidance better in the process of reservoir transformation.

Description

Geomechanical parameter prediction method and device for river and lake facies shale oil
Technical Field
The invention relates to the field of oil and gas exploration, in particular to a geomechanical parameter prediction method and device for river and lake facies shale oil.
Background
The geomechanical parameters are key parameters for representing the crack development characteristics and guiding the fracturing, and the higher the prediction accuracy of the geomechanical parameters is in the process of reservoir fracturing modification, the better the favorable modification area optimization is performed.
Based on the investigation of the prediction method of the geomechanical parameters at home and abroad, the obtaining method mainly comprises two methods of rock core experiment measurement and acoustic imaging logging, but has higher obtaining cost and relatively rare data and is difficult to be widely applied.
Disclosure of Invention
The invention aims to provide a method and a device for predicting geomechanical parameters of river and lake shale oil. And researching the distribution characteristics of the geomechanical parameters of different types of reservoirs in the area to be tested by a dynamic Young modulus and a dynamic Poisson ratio formula, establishing geomechanical parameter division standards of the different types of reservoirs, and realizing efficient prediction of the geomechanical parameters. The method can effectively reduce the evaluation cost, can be widely applied, is favorable for optimizing a block with better geomechanical conditions, and provides guidance in the process of reservoir transformation.
The embodiment of the invention is realized by the following steps:
based on the above purpose, the invention provides a geomechanical parameter prediction method of river and lake facies shale oil, which is applied to a geomechanical parameter prediction system of river and lake facies shale oil, and comprises the following steps:
establishing a relation chart of a logging parameter curve and geomechanical parameters by using logging information;
according to the result, screening out logging parameters with better correlation with the geomechanical parameters;
establishing a multivariate linear regression equation of the logging curve of the screened logging parameters and the geomechanical parameters, and fitting a calculation formula of the geomechanical parameters;
and dynamically predicting the geomechanical parameters according to the calculation formula.
In a preferred embodiment of the invention, said geomechanical parameters comprise dynamic young's modulus and dynamic poisson's ratio;
the logging parameters with better correlation with the dynamic Young modulus and the dynamic Poisson ratio are acoustic time difference and compensated neutron logging.
In a preferred embodiment of the present invention, the calculation formula of the dynamic Young's modulus is
Ed＝-0.43579CNL-0.08399AC+54.755
The calculation formula of the dynamic Poisson ratio is
μd＝0.161-0.00149CNL+0.000561AC
Where CNL is compensated neutron logging and AC is sonic moveout.
In a preferred embodiment of the present invention, the step of dynamically predicting the geomechanical parameter according to the calculation formula specifically includes:
according to the calculation formula of the dynamic Young modulus, combining the logging information of each region to be measured to draw a graph of the Young modulus distribution;
and according to the calculation formula of the dynamic Poisson ratio, combining the logging information of each region to be measured to draw a chart of Poisson ratio distribution.
In a preferred embodiment of the present invention, the method for drawing the plate specifically comprises:
and dividing the region to be measured into a plurality of value regions according to the predicted value of the geomechanical parameter and the reservoir type of the region to be measured, wherein the high value region is a predicted favorable transformation region.
Based on the above purpose, the invention also provides a geomechanical parameter prediction device of the river and lake facies shale oil, which is applied to a geomechanical parameter prediction system of the river and lake facies shale oil, and the device comprises:
the relation establishing unit is used for establishing a relation chart between a logging parameter curve and geomechanical parameters by using logging information;
the parameter screening unit is used for screening out logging parameters with better correlation with the geomechanical parameters according to results;
the formula fitting unit is used for establishing a multivariate linear regression equation of the logging curve of the screened logging parameters and the geomechanical parameters and fitting a calculation formula of the geomechanical parameters;
and the parameter prediction unit is used for dynamically predicting the geomechanical parameters according to the calculation formula.
In a preferred embodiment of the invention, said geomechanical parameters comprise dynamic young's modulus and dynamic poisson's ratio;
the logging parameters with better correlation with the dynamic Young modulus and the dynamic Poisson ratio are acoustic time difference and compensated neutron logging.
In a preferred embodiment of the present invention, the calculation formula of the dynamic Young's modulus is
Ed＝-0.43579CNL-0.08399AC+54.755
The calculation formula of the dynamic Poisson ratio is
μd＝0.161-0.00149CNL+0.000561AC
Where CNL is compensated neutron logging and AC is sonic moveout.
In a preferred embodiment of the present invention, the parameter prediction unit is specifically configured to:
according to the calculation formula of the dynamic Young modulus, combining the logging information of each region to be measured to draw a graph of the Young modulus distribution;
and according to the calculation formula of the dynamic Poisson ratio, combining the logging information of each region to be measured to draw a chart of Poisson ratio distribution.
In a preferred embodiment of the present invention, the method for the parameter prediction unit to be used for the plate drawing specifically comprises:
and dividing the region to be measured into a plurality of value regions according to the predicted value of the geomechanical parameter and the reservoir type of the region to be measured, wherein the high value region is a predicted favorable transformation region.
In summary, the invention provides a method and a device for predicting geomechanical parameters of lake and river shale oil, which are applied to a system for predicting geomechanical parameters of lake and river shale oil, and the method and the device establish the relationship between conventional logging data and geomechanical parameters by using conventional logging data and a multivariate regression technology, preferably select logging parameters with better correlation with the geomechanical parameters, and fit a calculation formula of dynamic young modulus and dynamic poisson ratio. And researching the distribution characteristics of the geomechanical parameters of different types of reservoirs in the area to be tested by a dynamic Young modulus and a dynamic Poisson ratio formula, establishing geomechanical parameter division standards of the different types of reservoirs, and realizing efficient prediction of the geomechanical parameters. The dynamic prediction of the mechanical parameters can be met by utilizing the conventional logging information, the evaluation cost can be effectively reduced, and meanwhile, the method can be widely applied and can better guide reservoir transformation.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flow chart of a method for predicting geomechanical parameters of a river and lake facies shale oil in accordance with an embodiment of the present invention;
FIG. 2 is a graphical representation of a geomechanical parameter-log relationship provided in accordance with an embodiment of the present invention;
FIG. 3 is a distribution chart for a dynamic Young's modulus formula in a certain area according to an embodiment of the present invention;
FIG. 4 is a distribution chart for drawing a dynamic Poisson's ratio formula in a certain area according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a geomechanical parameter prediction apparatus of a river and lake facies shale oil according to an embodiment of the present invention.
Icon:
a geological sweet spot prediction unit 110; an engineered dessert prediction unit 120; an integrated dessert prediction unit 130.
Detailed Description
The geomechanical parameters are key parameters for representing the crack development characteristics and guiding the fracturing, and the higher the prediction accuracy of the geomechanical parameters is in the process of reservoir fracturing modification, the better the favorable modification area optimization is performed.
Based on the investigation of the prediction method of the geomechanical parameters at home and abroad, the obtaining method mainly comprises two methods of rock core experiment measurement and acoustic imaging logging, but has higher obtaining cost and relatively rare data and is difficult to be widely applied. Therefore, a method for predicting geomechanical parameters using existing well log data is needed.
In view of the above, the invention provides a method and a device for predicting geomechanical parameters of river and lake shale oil, which utilize conventional logging information and a multivariate regression technology to establish a relation between the conventional logging information and the geomechanical parameters, preferably select logging parameters with better correlation with the geomechanical parameters, and fit a calculation formula of dynamic Young modulus and dynamic Poisson ratio. And researching the distribution characteristics of the geomechanical parameters of different types of reservoirs in the area to be tested by a dynamic Young modulus and a dynamic Poisson ratio formula, establishing geomechanical parameter division standards of the different types of reservoirs, and realizing efficient prediction of the geomechanical parameters. The method can effectively reduce the evaluation cost, can be widely applied, is favorable for optimizing a block with better geomechanical conditions, and provides guidance in the process of reservoir transformation.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present invention, it should be noted that the terms "top", "bottom", "inside", "outside", and the like refer to orientations or positional relationships based on the orientations or positional relationships shown in the drawings or orientations or positional relationships conventionally used to place products of the present invention, and are used for convenience in describing the present invention and simplifying the description, but do not refer to or imply that the devices or elements referred to must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like are used merely to distinguish one description from another, and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
Examples
Referring to fig. 1, the method for predicting geomechanical parameters of shale oil in river and lake provided by the present invention is applied to a system for predicting geomechanical parameters of shale oil in river and lake, and the method includes:
s101, establishing a relation chart of a logging parameter curve and geomechanical parameters by using logging information;
conventional logging data and three-dimensional seismic data are widely recorded and determined in development areas of oil and gas fields, so that a relational layout can be established through the existing logging data.
S102, screening out logging parameters with better correlation with the geomechanical parameters according to results;
as a preferred embodiment of the present invention, dynamic young's modulus and dynamic poisson's ratio are two important quantities of interest in geomechanical parameters, and are more instructive in developing reservoir engineering efforts. As shown in fig. 2, after a graph of the relationship between the dynamic young modulus and the dynamic poisson ratio and the conventional logging curve is established, the results show that the correlation between the sound wave time difference (AC) and the young modulus and the poisson ratio are better than the correlation between the Compensated Neutron Log (CNL) and the dynamic young modulus. Acoustic moveout and compensated neutron logs were therefore chosen, these two parameters being regression parameters for young's modulus and poisson's ratio.
And S103, establishing a multivariate linear regression equation of the logging curves of the screened logging parameters and the geomechanical parameters, and fitting a calculation formula of the geomechanical parameters.
Wherein the calculation formula of the dynamic Young modulus is
Ed＝-0.43579CNL-0.08399AC+54.755
The calculation formula of the dynamic Poisson ratio is
μd＝0.161-0.00149CNL+0.000561AC
And step S104, dynamically predicting the geomechanical parameters according to the calculation formula.
After a calculation formula of the Young modulus and the Poisson ratio of the geomechanical parameters under a dynamic condition is established, the geomechanical parameters of the area to be tested can be dynamically predicted.
The specific prediction mode is that the area to be measured is calculated through calculation formulas of dynamic Young modulus and dynamic Poisson ratio, and the graph of Young modulus distribution and Poisson ratio distribution is drawn by combining the logging data of each area to be measured.
The method specifically comprises the step of dividing the area to be measured into a plurality of value areas according to the predicted value of the geomechanical parameter and the reservoir type of the area to be measured, wherein the high value area is a predicted favorable transformation area.
Generally, reservoir types are generally divided into two types, sandstone and shale. The division of the value area is generally determined according to the geology of the area to be measured. The larger the geomechanical parameter is, the better the brittleness of the corresponding reservoir is, and the reservoir transformation is facilitated. Therefore, a proper value zone division is selected, and the prediction result of the division has more guiding significance for subsequent reservoir fracturing modification work.
In the following, a specific example is described, and a table is divided for the value regions of a certain map to be measured as shown in the following table.
Figure BDA0003036706640000101
As shown in fig. 3 and 4, according to the value zone division table, the geomechanical parameters of the region can be dynamically predicted by combining the logging parameters of the region to be measured and the calculation formulas of the dynamic young modulus and the dynamic poisson ratio, so as to obtain a corresponding chart. And combining the chart of Young modulus distribution and the chart of Poisson ratio distribution, determining the regions with parameters belonging to the I-type region, namely the regions can be used as favorable reconstruction regions for reservoir reconstruction, and the regions with other values have poor conditions, so that the reservoir reconstruction is not recommended. And further, the dynamic prediction of the geomechanical parameters of the area to be detected is realized.
In summary, the geomechanical parameter prediction method for the shale oil in the river and lake facies provided by the embodiment of the invention establishes the relationship between the conventional logging information and the geomechanical parameters by using the conventional logging information and the multivariate regression technology, optimizes the logging parameters with better correlation with the geomechanical parameters, and fits the calculation formulas of the dynamic young modulus and the dynamic poisson ratio. And researching the distribution characteristics of the geomechanical parameters of different types of reservoirs in the area to be tested by a dynamic Young modulus and a dynamic Poisson ratio formula, establishing geomechanical parameter division standards of the different types of reservoirs, and realizing efficient prediction of the geomechanical parameters. The method can effectively reduce the evaluation cost, can be widely applied, is favorable for optimizing a block with better geomechanical conditions, and can provide guidance better in the process of reservoir transformation.
As shown in fig. 5, an embodiment of the present invention further provides a device for predicting geomechanical parameters of lake and river facies shale oil, which is applied to a system for predicting geomechanical parameters of lake and river facies shale oil, and includes:
the relation establishing unit 110 is used for establishing a relation chart between a logging parameter curve and geomechanical parameters by using logging data;
the parameter screening unit 120 is configured to screen out a logging parameter with a better correlation with the geomechanical parameter according to a result;
and a formula fitting unit 130, configured to establish a multiple linear regression equation of the logging curves of the screened logging parameters and the geomechanical parameters, and fit a calculation formula of the geomechanical parameters.
And the parameter prediction unit 140 is used for dynamically predicting the geomechanical parameters according to the calculation formula.
The device for predicting the geomechanical parameters of the river and lake shale oil provided by the embodiment of the invention is used for realizing the method for predicting the geomechanical parameters of the river and lake shale oil, so that the specific implementation mode is the same as that of the method, and the details are not repeated here.
The method and the device for predicting the geomechanical parameters of the river and lake shale oil are applied to a system for predicting the geomechanical parameters of the river and lake shale oil, the conventional logging information and the multivariate regression technology are utilized to establish the relation between the conventional logging information and the geomechanical parameters, the logging parameters with better correlation with the geomechanical parameters are preferably selected, and the calculation formulas of the dynamic Young modulus and the dynamic Poisson ratio are fitted. And researching the distribution characteristics of the geomechanical parameters of different types of reservoirs in the area to be tested by a dynamic Young modulus and a dynamic Poisson ratio formula, establishing geomechanical parameter division standards of the different types of reservoirs, and realizing efficient prediction of the geomechanical parameters. The method can effectively reduce the evaluation cost, can be widely applied, is favorable for optimizing a block with better geomechanical conditions, and can provide guidance better in the process of reservoir transformation.
In the embodiments disclosed in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

Claims (10)

1. A geomechanical parameter prediction method of river and lake facies shale oil is applied to a geomechanical parameter prediction system of the river and lake facies shale oil, and is characterized by comprising the following steps:
establishing a relation chart of a logging parameter curve and geomechanical parameters by using logging information;
according to the result, screening out logging parameters with better correlation with the geomechanical parameters;
establishing a multivariate linear regression equation of the logging curve of the screened logging parameters and the geomechanical parameters, and fitting a calculation formula of the geomechanical parameters;
and dynamically predicting the geomechanical parameters according to the calculation formula.
2. The method of predicting geomechanical parameters of a river/lake shale oil according to claim 1,
the geomechanical parameters comprise dynamic Young's modulus and dynamic Poisson's ratio;
the logging parameters with better correlation with the dynamic Young modulus and the dynamic Poisson ratio are acoustic time difference and compensated neutron logging.
3. The method of predicting geomechanical parameters of a river/lake shale oil according to claim 2,
the calculation formula of the dynamic Young modulus is
Ed＝-0.43579CNL-0.08399AC+54.755
The calculation formula of the dynamic Poisson ratio is
μd＝0.161-0.00149CNL+0.000561AC
Where CNL is compensated neutron logging and AC is sonic moveout.
4. The method for predicting the geomechanical parameters of the shale oil of the rivers and lakes according to the claim 3, wherein the step of dynamically predicting the geomechanical parameters according to the calculation formula is specifically as follows:
according to the calculation formula of the dynamic Young modulus, combining the logging information of each region to be measured to draw a graph of the Young modulus distribution;
and according to the calculation formula of the dynamic Poisson ratio, combining the logging information of each region to be measured to draw a chart of Poisson ratio distribution.
5. The method for predicting geomechanical parameters of river and lake facies shale oil according to claim 4, wherein the method for drawing the chart specifically comprises:
and dividing the region to be measured into a plurality of value regions according to the predicted value of the geomechanical parameter and the reservoir type of the region to be measured, wherein the high value region is a predicted favorable transformation region.
6. A geomechanical parameter prediction device of river and lake facies shale oil is applied to a geomechanical parameter prediction system of river and lake facies shale oil, and is characterized by comprising the following components:
the relation establishing unit is used for establishing a relation chart between a logging parameter curve and geomechanical parameters by using logging information;
the parameter screening unit is used for screening out logging parameters with better correlation with the geomechanical parameters according to results;
the formula fitting unit is used for establishing a multivariate linear regression equation of the logging curve of the screened logging parameters and the geomechanical parameters and fitting a calculation formula of the geomechanical parameters;
and the parameter prediction unit is used for dynamically predicting the geomechanical parameters according to the calculation formula.
7. The geomechanical parameter prediction device of a river/lake facies shale oil of claim 6, wherein:
the geomechanical parameters comprise dynamic Young's modulus and dynamic Poisson's ratio;
the logging parameters with better correlation with the dynamic Young modulus and the dynamic Poisson ratio are acoustic time difference and compensated neutron logging.
8. The geomechanical parameter prediction apparatus of a river and lake shale oil according to claim 7,
the calculation formula of the dynamic Young modulus is
Ed＝-0.43579CNL-0.08399AC+54.755
The calculation formula of the dynamic Poisson ratio is
μd＝0.161-0.00149CNL+0.000561AC
Where CNL is compensated neutron logging and AC is sonic moveout.
9. The device for predicting geomechanical parameters of river and lake facies shale oil of claim 6, wherein the parameter prediction unit is specifically configured to:
according to the calculation formula of the dynamic Young modulus, combining the logging information of each region to be measured to draw a graph of the Young modulus distribution;
and according to the calculation formula of the dynamic Poisson ratio, combining the logging information of each region to be measured to draw a chart of Poisson ratio distribution.
10. The geomechanical parameter prediction device of the river and lake facies shale oil as claimed in claim 9, wherein the method for the parameter prediction unit to map is specifically:
and dividing the region to be measured into a plurality of value regions according to the predicted value of the geomechanical parameter and the reservoir type of the region to be measured, wherein the high value region is a predicted favorable transformation region.
CN202110445547.2A 2021-04-25 2021-04-25 Geomechanical parameter prediction method and device for river and lake facies shale oil Pending CN113027442A (en)

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Citations (2)

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Publication number Priority date Publication date Assignee Title
CN103256046A (en) * 2013-04-28 2013-08-21 北京大学 Unconventional oil and gas reservoir horizontal well section full-fracture-length fracturing parameter analog method and device
CN109577972A (en) * 2018-12-21 2019-04-05 西南石油大学 Sandy gravel materials rock mechanics parameters Logging Evaluation Method based on lithology breakdown

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103256046A (en) * 2013-04-28 2013-08-21 北京大学 Unconventional oil and gas reservoir horizontal well section full-fracture-length fracturing parameter analog method and device
CN109577972A (en) * 2018-12-21 2019-04-05 西南石油大学 Sandy gravel materials rock mechanics parameters Logging Evaluation Method based on lithology breakdown

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Title
张洪军等: "鄂尔多斯盆地安塞地区长7地层应力场模拟", 《科学技术与工程》 *
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