CN113049321A - Preparation method of reservoir model and reservoir model - Google Patents
Preparation method of reservoir model and reservoir model Download PDFInfo
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Abstract
The application discloses a preparation method of a reservoir model and the reservoir model, and belongs to the technical field of reservoirs. The resistivity of the karst cave sub model in the reservoir model prepared by the preparation method of the reservoir model is within the range of the resistivity of the karst cave in the reservoir to be simulated, and the resistivity of the bedrock sub model is within the range of the resistivity of the bedrock in the reservoir to be simulated, so the karst cave characteristics in the reservoir to be simulated can be represented by the karst cave sub model in the reservoir model. After the reservoir model is subjected to double-lateral logging subsequently, the relation between the karst cave in the reservoir simulated by the reservoir model and the resistivity of the reservoir can be obtained, so that the oil and gas content of the reservoir can be obtained more accurately.
Description
Technical Field
The application relates to the technical field of reservoir layers, in particular to a preparation method of a reservoir layer model and the reservoir layer model.
Background
Because the resistivity of the reservoir is the only parameter capable of reflecting the oil and gas content in the reservoir, in order to obtain the oil and gas content in the reservoir, a reservoir model corresponding to the reservoir can be prepared first, and then the reservoir model is subjected to double-lateral logging to obtain the resistivity of the reservoir.
However, the current reservoir model cannot represent the characteristic of the karst cave of the reservoir, so that the relationship between the karst cave in the reservoir and the resistivity of the reservoir cannot be obtained at present, and further the oil and gas content in the reservoir cannot be accurately obtained, and therefore a reservoir model capable of representing the characteristic of the karst cave in the reservoir is urgently needed.
Disclosure of Invention
The embodiment of the application provides a preparation method of a reservoir model and the reservoir model. The problem that the oil gas content in a reservoir cannot be accurately obtained in the prior art can be solved, and the technical scheme is as follows:
in a first aspect, a method for preparing a reservoir model is provided, the method comprising:
adding liquid paraffin, a first conductive material and a columnar karst cave sub-model into a first batching tank, and stirring to obtain a first mixture;
injecting the first mixture into a mold and curing the first mixture within the mold to form the reservoir model;
and the resistivity of the bedrock submodel except the karst cave submodel in the reservoir model is within the range of the resistivity of the bedrock in the reservoir to be simulated.
Optionally, before the liquid paraffin, the first conductive material and the columnar cavern sub-model are added into the first batching tank and stirred to obtain the first mixture, the method further includes:
determining a mass ratio of a first conductive material and paraffin in the bedrock submodel based on a range of resistivity of bedrock in the reservoir to be simulated;
determining a plurality of karst cave sub models with different sizes and the number of the karst cave sub models with each size based on the porosity of the reservoir to be simulated and the size characteristics of the karst cave in the reservoir to be simulated;
liquid paraffin, a first conductive material and a columnar karst cave sub-model are added into the first batching tank, and a first mixture is obtained by stirring, wherein the first batching tank comprises:
adding the first conductive material and the liquid paraffin into the first batching tank according to the mass ratio of the first conductive material to the paraffin in the basement rock submodel;
and adding the karst cave submodels with the corresponding sizes and the corresponding quantities into the first proportioning tank according to the karst cave submodels with different sizes and the quantity of the karst cave submodels with each size, and stirring to obtain the first mixture.
Optionally, determining a mass ratio of the first conductive material and the paraffin in the bedrock submodel based on a range of the resistivity of the bedrock in the reservoir to be simulated, including:
preparing a plurality of experimental bedrock models, wherein the mass ratio of the first conductive material to the paraffin in each experimental bedrock model is different;
detecting the resistivity of each experimental bedrock model;
and determining the mass ratio of the first conductive material and the paraffin in the experimental bedrock model with the smallest resistivity within the range of the resistivity of the bedrock in the reservoir to be simulated as the mass ratio of the first conductive material and the paraffin in the bedrock submodel.
Optionally, the mass ratio of the first conductive material to the paraffin in the basement rock submodel is: 26:74.
Optionally, before determining a plurality of different-sized cavern sub models based on the porosity of the reservoir to be simulated and the size characteristics of the caverns in the reservoir to be simulated, and the number of each-sized cavern sub model, the method further includes:
collecting a plurality of core samples in the reservoir to be simulated;
determining the porosity of each core sample, and determining the average value of the porosities in the core samples as the porosity of the reservoir to be simulated;
and determining the proportion of the sizes of the caverns in each size range based on the number of the sizes of the caverns in each core sample in different size ranges, and determining the proportion of the sizes of the caverns in each size range as the size characteristics of the reservoir to be simulated.
Optionally, the material of the karst cave sub-model comprises: a second conductive material and clay;
the method further comprises the following steps of adding liquid paraffin, a first conductive material and a columnar karst cave sub-model into the first batching tank, and stirring to obtain a first mixture:
determining a mass ratio of a second conductive material to clay in the cavern sub-model based on a range of resistivities of a cavern in the reservoir to be simulated;
adding the second conductive material, the clay and water into a second batching tank according to the mass ratio of the second conductive material to the clay in the karst cave sub-model, and stirring to obtain a second mixture;
injecting the second mixture into a column forming device, and extruding the second mixture by adopting the column forming device to form an initial karst cave sub-model;
and drying the initial karst cave sub-model to obtain the columnar karst cave sub-model.
Optionally, determining a mass ratio of the second conductive material to the clay in the cavern submodel based on a range of resistivities of the cavern in the reservoir to be simulated, including:
preparing a plurality of experimental karst cave models, wherein the mass ratio of the second conductive material to the clay in each experimental karst cave model is different;
detecting the resistivity of each experimental karst cave model;
and determining the mass ratio of the second conductive material to the clay in the experimental karst cave model with the resistivity which is within the range of the resistivity of the karst cave in the reservoir to be simulated and the smallest resistivity as the mass ratio of the second conductive material to the clay in the karst cave sub model.
Optionally, the mass ratio of the second conductive material to the clay in the karst cave sub-model is: 75:25.
Optionally, the first conductive material and the second conductive material are both graphite powder.
In a second aspect, a reservoir model is provided, where the reservoir model is made by the method for making a reservoir model according to any one of the first aspect, and the reservoir model includes:
the karst cave sub-model comprises a bedrock sub-model and a karst cave sub-model positioned in the bedrock sub-model;
the resistivity of the karst cave submodel is within the range of the resistivity of the karst cave in the reservoir to be simulated, and the resistivity of the bedrock submodel is within the range of the resistivity of the bedrock in the reservoir to be simulated.
The beneficial effects brought by the technical scheme provided by the embodiment of the application at least comprise:
the resistivity of the karst cave sub model in the reservoir model prepared by the preparation method of the reservoir model is within the range of the resistivity of the karst cave in the reservoir to be simulated, and the resistivity of the bedrock sub model is within the range of the resistivity of the bedrock in the reservoir to be simulated, so the karst cave characteristics in the reservoir to be simulated can be represented by the karst cave sub model in the reservoir model. After the reservoir model is subjected to double-lateral logging subsequently, the relation between the karst cave in the reservoir simulated by the reservoir model and the resistivity of the reservoir can be obtained, so that the oil and gas content of the reservoir can be obtained more accurately.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flow chart of a method for preparing a reservoir model according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of another method of preparing a reservoir model provided in an embodiment of the present application;
FIG. 3 is a schematic structural diagram of a reservoir model provided by an embodiment of the present application;
FIG. 4 is a plot of porosity of a core sample versus resistivity of the core sample as provided in an example of the present application;
FIG. 5 is a schematic structural diagram of another reservoir model provided by an embodiment of the present application;
FIG. 6 is a schematic structural diagram of yet another reservoir model provided by an embodiment of the present application;
fig. 7 is a schematic structural diagram of another reservoir model provided in an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The embodiment of the application provides a preparation method of a reservoir model, and the preparation method is used for preparing the reservoir model capable of reflecting the karst cave characteristics of a reservoir to be simulated. Referring to fig. 1, fig. 1 is a flowchart illustrating a method for preparing a reservoir model according to an embodiment of the present disclosure, where the method for preparing the reservoir model may include:
Wherein the resistivity of the karst cave sub model in the reservoir model is within the range of the resistivity of the karst cave in the reservoir to be simulated. The resistivity of the bedrock submodels in the reservoir model, except the karst cave submodel, is within the range of the resistivity of the bedrock in the reservoir to be simulated.
In summary, according to the preparation method of the reservoir model provided in the embodiment of the present application, the resistivity of the karst cave sub-model in the reservoir model prepared by the preparation method of the reservoir model is within the range of the resistivity of the karst cave in the reservoir to be simulated, and the resistivity of the bedrock sub-model is within the range of the resistivity of the bedrock in the reservoir to be simulated, so that the karst cave characteristics in the reservoir to be simulated can be represented by the karst cave sub-model in the reservoir model. After the reservoir model is subjected to double-lateral logging subsequently, the relation between the karst cave in the reservoir simulated by the reservoir model and the resistivity of the reservoir can be obtained, so that the oil and gas content of the reservoir can be obtained more accurately.
Referring to fig. 2, fig. 2 is a flow chart of another method for preparing a reservoir model according to an embodiment of the present disclosure. The preparation method is used for preparing a reservoir model capable of reflecting the karst cave characteristics of a reservoir to be simulated as shown in figure 3. As shown in fig. 3, the reservoir model 300 may include: a bedrock submodel 301, and a karst cave submodel 302 located within the bedrock submodel 301. The preparation method of the reservoir model can comprise the following steps:
In the embodiment of the present application, before determining the mass ratio of the first conductive material and the paraffin in the bedrock submodel based on the range of the resistivity of the bedrock in the reservoir to be simulated, it is also necessary to obtain the range of the resistivity of the bedrock in the reservoir to be simulated. Optionally, the first conductive material may be graphite powder.
For example, first, a core sample collection tool may be used to collect a plurality of core samples in a reservoir to be simulated; then, determining the porosity of each core sample by using porosity detection equipment; then, selecting a core sample with the porosity of less than 2%, and measuring the resistivity of the core sample with the porosity of less than 2% by using resistivity detection equipment; finally, a range of resistivity of bedrock in the reservoir to be simulated is determined based on the resistivity of the core sample having a porosity of less than 2%.
For example, referring to fig. 4, fig. 4 is a graph of porosity of a core sample and resistivity of the core sample, where the abscissa represents the porosity of the core sample and the units are: % and the ordinate represents the resistivity of the core sample in units of: ohm meter (Ω · m).
According to the resistivity coordinate graph, the range of the resistivity of the bedrock in the reservoir to be simulated is as follows: 1795.5 omega m-135704 omega m.
Optionally, determining the mass ratio of the first conductive material and the paraffin in the bedrock submodel based on the range of the resistivity of the bedrock in the reservoir to be simulated may include the following steps:
and A1, preparing a plurality of experimental bedrock models.
Wherein, every experiment basement rock model all includes: a first conductive material and paraffin wax. The quality of each experimental bedrock model is the same, and the mass ratio of the first conductive material to the paraffin in each experimental bedrock model is different.
In the examples of the present application, each experimental bedrock model was prepared as follows:
step A11, adding the first conductive material and liquid paraffin into a third preparation tank, and stirring to obtain a third mixture.
Step A12, injecting the third mixture into the grinding tool, and curing the third mixture in the grinding tool to form the experimental bedrock model.
It should be noted that a plurality of first conductive materials with different mass ratios and liquid paraffin can be added into the third batching tank, so that a plurality of experimental bedrock models can be formed.
And step B1, detecting the resistivity of each experimental bedrock model.
In the embodiment of the application, the resistivity of each experimental bedrock model can be detected by adopting resistivity detection equipment. For example, referring to table 1, table 1 shows the mass ratio of the first conductive material to the paraffin in each experimental bedrock model, and the corresponding relationship between the resistivity of the experimental bedrock model.
TABLE 1
| Experimental bedrock model | Content of first conductive material (%) | Content of Paraffin (%) | Resistivity (omega. m) |
| Experimental bedrock model 1 | 0 | 100 | 18000 |
| Experimental bedrock model 2 | 10 | 90 | 13440 |
| Experimental bedrock model 3 | 20 | 80 | 6213 |
| Experimental bedrock model 4 | 24 | 76 | 3218 |
| Experimental bedrock model 5 | 26 | 74 | 2003 |
| Experimental bedrock model 6 | 28 | 72 | 895 |
| Experimental bedrock model 7 | 30 | 70 | 429 |
| Experimental bedrock model 8 | 40 | 60 | 183 |
| Experimental bedrock model 9 | 60 | 40 | 35 |
For example, the mass ratio of the first conductive material to the paraffin in the experimental bedrock model in table 1 is expressed by the ratio of the respective masses. For example, for the experimental bedrock model 1, the mass ratio of the first conductive material to the paraffin is 0:100, and the resistivity of the experimental bedrock model 1 is 18000 Ω · m; for the experimental bedrock model 5, the mass ratio of the first conductive material to the paraffin wax was 26:74, and the resistivity of the experimental bedrock model 5 was 2003 Ω · m.
And step C1, determining the mass ratio of the first conductive material and the paraffin in the experimental bedrock model with the resistivity being the smallest and within the range of the resistivity of the bedrock in the reservoir to be simulated as the mass ratio of the first conductive material and the paraffin in the bedrock submodel.
In the embodiment of the application, because the error of the resistivity detection device in the resistivity detection is larger when the resistivity of the object is larger, the mass ratio of the first conductive material and the paraffin in the experimental bedrock model with the smallest resistivity can be determined as the mass ratio of the first conductive material and the paraffin in the bedrock submodel based on the resistivity of each experimental bedrock model, wherein the resistivity is within the range of the resistivity of the bedrock in the reservoir to be simulated. At the moment, the accuracy of performing double-laterolog on the reservoir model prepared subsequently can be effectively improved.
As an example, based on table 1, the resistivity of each of the experimental bedrocks 1 to 5 is within the range of the resistivity of the bedrock in the reservoir to be simulated, and the resistivity of the experimental bedrock 5 is the minimum, so the mass ratio of the first conductive material and the paraffin in the experimental bedrock 5 can be determined as the mass ratio of the first conductive material and the paraffin in the bedrock submodel in the reservoir model provided in the embodiment of the present application. That is, the mass ratio of the first conductive material to the paraffin in the matrix submodel is 26: 74.
In this embodiment of the application, before determining a plurality of different-sized cavern sub models and the number of each-sized cavern sub model based on the porosity of the reservoir to be simulated and the size characteristics of the caverns in the reservoir to be simulated, the preparation method of the reservoir model may further include the following steps:
step a2, collecting a plurality of core samples in a reservoir to be simulated.
For example, a core sample collection tool may be employed to collect a plurality of core samples in a reservoir to be simulated.
And step B2, determining the porosity of each core sample, and determining the average value of the porosities in the core samples as the porosity of the reservoir to be simulated.
For example, the porosity of each core sample may be determined using a porosity detection device, and then an average of the porosities in the plurality of core samples may be determined as the porosity of the reservoir to be simulated.
And C2, determining the proportion of the sizes of the caverns in each size range based on the number of the sizes of the caverns in each core sample in different size ranges, and determining the proportion of the sizes of the caverns in each size range as the size characteristics of the reservoir to be simulated.
As an example, determining the dimensional characteristics of the reservoir to be simulated may include the following process:
first, a scanning device (e.g., a CT scanning device) may be used to determine the number of caverns in each core sample that have sizes within a range of different sizes. Since the caverns in core samples are typically spherical in shape, a scanning device is used to determine the number of caverns in each core sample whose diameter lies within a range of different diameters. For example, the number of caverns in each core sample having a diameter in the range of [2, 5) millimeters, the number of caverns having a diameter in the range of [5, 10) millimeters, and the number of caverns having a diameter in the range of [10, 330) millimeters can be determined.
Then, the proportion of the size of the cavern within each size range can be determined. For example, the number of the karst caves in the same size range in each core sample may be summed, and then divided by the sum of the number of the karst caves in each core sample, so as to obtain the ratio of the karst caves in the size range. For example, the ratio of the diameter of the cavern in the diameter range [2, 5) mm is 71%, the ratio of the diameter of the cavern in the diameter range [5, 10) mm is 23%, and the ratio of the diameter of the cavern in the diameter range [10, 330) mm is 6%.
Finally, the ratio of the size of the cavern within each size range can be determined as the size characteristic of the reservoir to be simulated. For example, the size characteristic of the reservoir to be simulated may be determined as 71% for a diameter of the cavern within the diameter range [2, 5) mm, 23% for a diameter of the cavern within the diameter range [5, 10) mm, and 6% for a diameter of the cavern within the diameter range [10, 330) mm.
It should be noted that the porosity of the reservoir to be simulated and the size characteristics of the caverns in the reservoir to be simulated can be determined through the steps a2 to C2. Then, based on the porosity of the reservoir to be simulated and the size characteristics of the karst cave in the reservoir to be simulated, a plurality of different-size karst cave sub models and the number of each size of the karst cave sub models can be determined.
Optionally, based on the size characteristics of the karst cave in the reservoir to be simulated, a plurality of different sizes of karst cave sub models and the proportions of the karst cave sub models of the different sizes can be determined. For example, a karst cave model with one size can be used for simulating the karst cave with the size in the same size range. For example, when the shape of the karst cave sub-model in the embodiment of the present application is spherical, a karst cave with a diameter within the diameter range [2, 5) mm may be simulated using the karst cave sub-model with a diameter of 2 mm, a karst cave with a diameter within the diameter range [5, 10) mm may be simulated using the karst cave sub-model with a diameter of 5 mm, and a karst cave with a diameter within the diameter range [10, 330) mm may be simulated using the karst cave sub-model with a diameter of 10 mm. That is, the karst cave submodels with different sizes are respectively as follows: a2 mm diameter karst cave sub-model, a 5 mm diameter karst cave sub-model, and a 10 mm diameter karst cave sub-model. Meanwhile, in the subsequently prepared karst cave submodels in the reservoir model, the ratio of the karst cave submodel with the diameter of 2 mm is 71%, the ratio of the karst cave submodel with the diameter of 5 mm is 23%, and the ratio of the karst cave submodel with the diameter of 10 mm is 6%.
In the embodiment of the application, the number of the karst cave sub models of each size can be determined based on the porosity of the reservoir to be simulated, a plurality of different sizes of karst cave sub models and the ratio of the karst cave sub models of each size. For example, first, the porosity of the reservoir to be simulated may be determined as the porosity of the reservoir model to be prepared subsequently; then, according to the volume and the porosity of a reservoir model to be prepared subsequently, determining the volume sum of all karst cave sub-models in the reservoir model; finally, the number of the karst cave sub models of each size can be determined based on the volume sum of all the karst cave sub models in the reservoir model to be prepared subsequently and the proportion of the karst cave sub models of each size.
And 203, preparing the karst cave sub models with corresponding sizes and corresponding quantities according to the karst cave sub models with different sizes and the quantity of the karst cave sub models with each size.
In the embodiment of the application, the karst cave submodels with corresponding sizes and corresponding numbers are prepared according to the karst cave submodels with different sizes and the number of the karst cave submodels with each size. Wherein, the material of the karst cave sub-model can comprise: a second conductive material and clay. Optionally, the second conductive material may be graphite powder. As an example, the method of preparing the karst cave sub-model may include the following steps:
step a3, determining a mass ratio of the second conductive material to the clay in the cavern sub-model based on a range of resistivities of the caverns in the reservoir to be simulated.
In the embodiment of the application, since the substance contained in the cavern in the reservoir to be simulated is formation water, the range of the resistivity of the cavern is the range of the resistivity of the formation water. For example, the resistivity of formation water is in the range of 0.01-0.03 Ω · m, and the resistivity of the caverns in the reservoir to be simulated is also in the range of 0.01-0.03 Ω · m.
Alternatively, determining the mass ratio of the second conductive material to the clay in the cavern sub-model based on the range of resistivities of the caverns in the reservoir to be simulated may comprise the steps of:
and A31, preparing a plurality of experimental karst cave models.
Wherein, each experiment karst cave model all includes: a second conductive material and clay. The mass of each experimental karst cave model is the same, and the mass ratio of the second conductive material to the clay in each experimental karst cave model is different.
In the examples of the present application, each experimental karst cave model was prepared as follows:
first, the second conductive material, clay and water are added to the fourth dispensing tank, and stirred to obtain a fourth mixture.
Then, the fourth mixture is injected into a column forming device, and the fourth mixture is extruded by the column forming device to form an initial experimental karst cave model.
And finally, drying the initial experimental karst cave model to obtain a columnar experimental karst cave model.
It should be noted that a plurality of different mass ratios of the second conductive material and the clay may be added to the fourth batching tank, thereby enabling the formation of the plurality of experimental cavern models.
And A32, detecting the resistivity of each experimental karst cave model.
In the embodiment of the application, the resistivity detection equipment can be adopted to detect the resistivity of each experimental karst cave model. For example, referring to table 2, table 2 shows the mass ratio of the second conductive material to the clay in each experimental karst cave model, and the corresponding relationship between the resistance and the resistivity of the experimental karst cave model.
TABLE 2
For example, the mass ratio of the second conductive material to the clay in the experimental karst cave model in table 2 is expressed by the respective mass ratio. For example, for the experimental karst cave model 1, the mass ratio of the second conductive material to the clay is 80:20, the resistance of the experimental karst cave model 1 is 80 Ω, and the resistivity is 0.006 Ω · m; for the experimental karst cave model 2, the mass ratio of the second conductive material to the clay is 75:25, the resistance of the experimental karst cave model 2 is 180 Ω, and the resistivity is 0.02 Ω · m.
And A33, determining the mass ratio of the second conductive material to the clay in the experimental karst cave model with the resistivity which is within the range of the resistivity of the karst cave in the reservoir to be simulated and the smallest resistivity as the mass ratio of the second conductive material to the clay in the karst cave sub model.
In the embodiment of the present application, the mass ratio of the second conductive material and the clay in the experimental karst cave model, in which the resistivity is within the range of the resistivity of the karst cave in the reservoir to be simulated and the resistivity is the smallest, may be determined as the mass ratio of the second conductive material and the clay in the karst cave model. As an example, based on table 2, the resistivity of the experimental karst cave model 2 is within the range of the resistivity of the karst cave in the reservoir to be simulated, and therefore, the mass ratio of the second conductive material and the clay in the experimental karst cave model 2 may be determined as the mass ratio of the second conductive material and the clay in the karst cave sub model in the reservoir model provided in the embodiment of the present application. That is, the mass ratio of the second conductive material to the clay in the karst cave model is 75: 25.
And step B3, adding the second conductive material, the clay and water into a second mixing tank according to the mass ratio of the second conductive material to the clay in the karst cave model, and stirring to obtain a second mixture.
In this embodiment, after the mass ratio of the second conductive material to the clay in the karst cave model is determined, the second conductive material, the clay and water may be added into the second mixing tank according to the mass ratio of the second conductive material to the clay in the karst cave model, and the mixture may be stirred to obtain a second mixture.
And step C3, injecting the second mixture into the column forming equipment, and extruding the second mixture by using the column forming equipment to form the initial karst cave sub-model.
In an embodiment of the present application, the second mixture in the second dosage tank may be injected into a column forming apparatus, and the second mixture may be subjected to an extrusion process using the column forming apparatus to form an initial karst cave model.
And D3, drying the initial karst cave sub-model to obtain a columnar karst cave sub-model.
In the embodiment of the application, because the water content of the initial karst cave sub-model is relatively large, the columnar karst cave sub-model can be obtained after the initial karst cave sub-model is dried.
It should be noted that each of the karst cave sub-models is prepared through the steps A3 to D3, and the karst cave sub-models of various sizes can be obtained through the steps A3 to D3, and the number of the karst cave sub-models of each size is plural.
And step 204, adding the first conductive material and liquid paraffin into the first batching tank according to the mass ratio of the first conductive material to the paraffin in the basement rock submodel.
In this embodiment, the first conductive material and the liquid paraffin may be added to the first dispensing tank according to the mass ratio of the first conductive material and the paraffin in the basement rock submodel determined in step 201. Illustratively, the mass ratio of the first conductive material to the liquid paraffin in the first dispensing tank is 26: 74.
In this embodiment, the karst cave submodels with the corresponding size and the corresponding number prepared in step 203 according to the karst cave submodels with different sizes and the number of the karst cave submodels with each size may be added into the first mixing tank, and the first mixture may be obtained by stirring.
In an embodiment of the present disclosure, the first mixture may be injected into an abrasive tool and the first mixture within the abrasive tool may be cured to form a reservoir model. For example, since paraffin is in a liquid state at a relatively high temperature and in a solid state at a relatively low temperature, the first mixture in the abrasive tool may be cooled to solidify the first mixture to obtain the reservoir model.
Optionally, the dimensions of the reservoir model formed by step 206 may need to be consistent with the dimensions of the reservoir model that the dual laterolog equipment used to dual laterolog the reservoir model can detect, for example, as shown in fig. 3, the reservoir model 300 may be 0.66 meters in diameter and 0.15 meters in height.
In the present embodiment, after step 206, drilling is also performed in the central region of the reservoir model to form a borehole within the reservoir model for simulating a hydrocarbon well. For example, as shown in FIG. 3, the central region of the reservoir model 300 has a borehole 303, and the borehole 303 has a diameter of 9 millimeters.
It should be noted that, the sequence of the steps of the preparation method of the reservoir model provided in the embodiment of the present application may be appropriately adjusted, and the steps may also be increased or decreased according to the circumstances, and any method that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application, and therefore, no further description is given.
In summary, according to the preparation method of the reservoir model provided in the embodiment of the present application, the resistivity of the karst cave sub-model in the reservoir model prepared by the preparation method of the reservoir model is within the range of the resistivity of the karst cave in the reservoir to be simulated, and the resistivity of the bedrock sub-model is within the range of the resistivity of the bedrock in the reservoir to be simulated, so that the karst cave characteristics in the reservoir to be simulated can be represented by the karst cave sub-model in the reservoir model. After the reservoir model is subjected to double-lateral logging subsequently, the relation between the karst cave in the reservoir simulated by the reservoir model and the resistivity of the reservoir can be obtained, so that the oil and gas content of the reservoir can be obtained more accurately.
The embodiment of the application also provides another preparation method of the reservoir model, and the preparation method of the reservoir model is used for preparing various reservoir models of different types. The preparation method of the reservoir model can comprise the following steps:
and step S1, adding the first conductive material and liquid paraffin into a fifth mixing tank according to the mass ratio of the first conductive material to the paraffin being 26: 74.
Step S2, adding a plurality of cave models of the same size to the first conductive material, and stirring to obtain a fifth mixture.
For example, each of the karst cave models includes a second conductive material and clay, and a mass ratio of the second conductive material to the clay in each of the karst cave models is 75: 25.
And step S3, injecting the fifth mixture into a grinding tool, and curing the fifth mixture in the grinding tool to form a reservoir model.
In the embodiment of the present application, when a plurality of different types of reservoir models need to be formed through the above steps S1 to S3, it is only necessary to change the size or the number of the cavern sub models added into the fifth batch tank in the step S2.
For example, referring to fig. 5 to 7, the reservoir models 300 shown in fig. 5 to 7 are formed through the above steps S1 to S3. Assuming that the voidage of the reservoir models 300 shown in fig. 5-7 is 4% and that the diameter of the cavern sub-model 302 within the reservoir model 300 shown in fig. 5 is 2 mm, the diameter of the cavern sub-model 302 within the reservoir model 300 shown in fig. 6 is 5 mm, and the diameter of the cavern sub-model 302 within the reservoir model 300 shown in fig. 7 is 10 mm. The number of the karst cave sub models 302 in the reservoir model 300 shown in fig. 5 to 7 can be respectively calculated according to the voidage of the reservoir model 300, the volume of the reservoir model 300 and the size of the karst cave sub models 302, and the reservoir models shown in fig. 5 to 7 can be obtained after the karst cave sub models with the corresponding number and the corresponding size are respectively added in step S2 and step S3.
In the embodiment of the present application, dual laterolog equipment may be subsequently used to perform dual laterolog on the reservoir models shown in fig. 5 to 7, so as to obtain the relationship between the size of the karst cave and the resistivity of the reservoir. Based on a similar principle, a plurality of reservoir models with the same size and different quantities of the karst cave sub models can be prepared, and then the plurality of reservoir models are subjected to double lateral logging by adopting double lateral logging equipment, so that the relation between the quantity of the karst caves and the resistivity of the reservoir can be obtained.
The embodiment of the present application further provides a reservoir model, which may be the reservoir model shown in fig. 3, and the reservoir model is manufactured by the manufacturing method of the reservoir model shown in fig. 2.
The reservoir model 300 may include: a bedrock submodel 301, and a karst cave submodel 302 located within the bedrock submodel 301.
Wherein the resistivity of the karst cave sub-model 302 is within the range of the resistivity of the karst cave in the reservoir to be simulated, and the resistivity of the bedrock sub-model 301 is within the range of the resistivity of the bedrock in the reservoir to be simulated.
In this application, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The term "plurality" means two or more unless expressly limited otherwise.
The above description is intended to be exemplary only, and not to limit the present application, and any modifications, equivalents, improvements, etc. made within the spirit and scope of the present application are intended to be included therein.
Claims (10)
1. A method of preparing a reservoir model, the method comprising:
adding liquid paraffin, a first conductive material and a columnar karst cave sub-model into a first batching tank, and stirring to obtain a first mixture;
injecting the first mixture into a mold and curing the first mixture within the mold to form the reservoir model;
and the resistivity of the bedrock submodel except the karst cave submodel in the reservoir model is within the range of the resistivity of the bedrock in the reservoir to be simulated.
2. The method of claim 1, wherein the first dosing tank is filled with the liquid paraffin, the first conductive material, and the columnar cave model, and the method further comprises, before stirring to obtain the first mixture:
determining a mass ratio of a first conductive material and paraffin in the bedrock submodel based on a range of resistivity of bedrock in the reservoir to be simulated;
determining a plurality of karst cave sub models with different sizes and the number of the karst cave sub models with each size based on the porosity of the reservoir to be simulated and the size characteristics of the karst cave in the reservoir to be simulated;
liquid paraffin, a first conductive material and a columnar karst cave sub-model are added into the first batching tank, and a first mixture is obtained by stirring, wherein the first batching tank comprises:
adding the first conductive material and the liquid paraffin into the first batching tank according to the mass ratio of the first conductive material to the paraffin in the basement rock submodel;
and adding the karst cave submodels with the corresponding sizes and the corresponding quantities into the first proportioning tank according to the karst cave submodels with different sizes and the quantity of the karst cave submodels with each size, and stirring to obtain the first mixture.
3. The method of claim 2, wherein determining the mass ratio of the first conductive material and the paraffin in the matrix sub-model based on a range of resistivities of the matrix in the reservoir to be simulated comprises:
preparing a plurality of experimental bedrock models, wherein the mass ratio of the first conductive material to the paraffin in each experimental bedrock model is different;
detecting the resistivity of each experimental bedrock model;
and determining the mass ratio of the first conductive material and the paraffin in the experimental bedrock model with the smallest resistivity within the range of the resistivity of the bedrock in the reservoir to be simulated as the mass ratio of the first conductive material and the paraffin in the bedrock submodel.
4. The method of claim 3,
the mass ratio of the first conductive material to the paraffin in the basement rock submodel is as follows: 26:74.
5. The method of claim 2, wherein prior to determining a plurality of different-sized cavern sub models based on porosity of the reservoir to be simulated and size characteristics of caverns in the reservoir to be simulated, and a number of each sized cavern sub model, the method further comprises:
collecting a plurality of core samples in the reservoir to be simulated;
determining the porosity of each core sample, and determining the average value of the porosities in the core samples as the porosity of the reservoir to be simulated;
and determining the proportion of the sizes of the caverns in each size range based on the number of the sizes of the caverns in each core sample in different size ranges, and determining the proportion of the sizes of the caverns in each size range as the size characteristics of the reservoir to be simulated.
6. The method of any one of claims 1 to 5, wherein the material of the cavern sub-model comprises: a second conductive material and clay;
the method further comprises the following steps of adding liquid paraffin, a first conductive material and a columnar karst cave sub-model into the first batching tank, and stirring to obtain a first mixture:
determining a mass ratio of a second conductive material to clay in the cavern sub-model based on a range of resistivities of a cavern in the reservoir to be simulated;
adding the second conductive material, the clay and water into a second batching tank according to the mass ratio of the second conductive material to the clay in the karst cave sub-model, and stirring to obtain a second mixture;
injecting the second mixture into a column forming device, and extruding the second mixture by adopting the column forming device to form an initial karst cave sub-model;
and drying the initial karst cave sub-model to obtain the columnar karst cave sub-model.
7. The method of claim 6, wherein determining a mass ratio of second conductive material to clay in the cavern sub-model based on a range of resistivities of caverns in the reservoir to be simulated comprises:
preparing a plurality of experimental karst cave models, wherein the mass ratio of the second conductive material to the clay in each experimental karst cave model is different;
detecting the resistivity of each experimental karst cave model;
and determining the mass ratio of the second conductive material to the clay in the experimental karst cave model with the resistivity which is within the range of the resistivity of the karst cave in the reservoir to be simulated and the smallest resistivity as the mass ratio of the second conductive material to the clay in the karst cave sub model.
8. The method of claim 7,
the mass ratio of the second conductive material to the clay in the karst cave submodel is as follows: 75:25.
9. The method of claim 6,
the first conductive material and the second conductive material are both graphite powder.
10. A reservoir model produced by the method of producing a reservoir model according to any one of claims 1 to 9, the reservoir model comprising:
the karst cave sub-model comprises a bedrock sub-model and a karst cave sub-model positioned in the bedrock sub-model;
the resistivity of the karst cave submodel is within the range of the resistivity of the karst cave in the reservoir to be simulated, and the resistivity of the bedrock submodel is within the range of the resistivity of the bedrock in the reservoir to be simulated.
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