A method and device for evaluating predicted reserves upgrading based on exploratory well test production prediction

Abstract

The embodiment of the present application discloses a kind of prediction reserve upgrade evaluation method and device based on exploratory well test oil production prediction.Therein, the prediction reserve upgrade evaluation method based on exploratory well test oil production prediction includes: determining the reservoir type in the block to be evaluated prediction reserve based on the obtained data;Collect the exploration data of the determined reservoir type;Based on the exploration data, establish the exploratory well test oil production prediction model corresponding to the reservoir type;Determine the plane distribution of parameters in the prediction model;Based on the plane distribution and prediction model, determine the upgrade prediction reserve range;Based on the upgrade prediction reserve range, obtain the reserve scale in the upgrade range.Using the exploratory well data of the same or similar reservoir type as the block to be evaluated prediction reserve, effectively solve the problem of lack of exploration data in the block to be evaluated reserve, achieve the purpose of quantitative prediction of exploratory well test oil production, avoid single reliance on geological analysis to evaluate the upgradability of prediction reserve.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of oil exploration, and more particularly relates to a predicted reserve upgrading evaluation method and device based on predicted well test production. BACKGROUND

[0002] Predicted reserves are the main source of controlled and proven reserves and are important resources for the long-term sustainable development of oil companies. Because predicted reserves are the lowest level of reserves in China's three-level reserve management system, the size and distribution of their effective reserves have high uncertainty, so evaluating the effective upgrading size and range of predicted reserves has always been an important task in oil and gas planning. Currently, the methods for evaluating reserve upgradability often target proven geological reserves or recoverable reserves with more exploration and development data. For predicted reserves with high uncertainty, the current evaluation methods are usually comprehensive methods based on reserve parameters, petroleum geology conditions, technical and economic indicators, etc., which are used to evaluate the difficulty of upgrading predicted reserves in different blocks, and then to screen or optimize multiple blocks.

[0003] In the process of implementing the present application, the inventors found that the prior art at least has the following problems,

[0004] This method is only suitable for the relative optimization of multiple reserve blocks, and cannot evaluate the upgradeable size of a specific predicted reserve block. Since the key factor of reserve upgrading, i.e., production, is not considered, the uncertainty of the reserve block upgradability evaluation result is large. SUMMARY

[0005] Therefore, the embodiments of the present application provide a predicted reserve upgrading evaluation method and device based on predicted well test production, which at least solves the problem that the quantitative prediction of well test production cannot be realized in the prior art.

[0006] In a first aspect, the embodiments of the present application provide a predicted reserve upgrading evaluation method based on predicted well test production, comprising:

[0007] determining the reservoir type in the predicted reserve block to be evaluated based on the obtained data;

[0008] collecting exploration data of the determined reservoir type;

[0009] establishing a predicted well test production model corresponding to the reservoir type based on the exploration data;

[0010] determining the planar distribution of parameters in the prediction model;

[0011] determining the upgraded predicted reserve range based on the planar distribution and the prediction model;

[0012] Based on the upgraded predicted reserve range, a reserve scale in the upgraded range is obtained.

[0013] Optionally, the obtained data for determining the reservoir type in the predicted reserve block to be evaluated comprises: comprehensive trap type, reservoir type, oil layer thickness, buried depth, porosity and permeability, and crude oil properties.

[0014] Optionally, the exploration data comprises:

[0015] logging interpretation data, experimental test data, oil test / fracturing engineering data, and oil test production data.

[0016] Optionally, the establishment of the oil test production prediction model of the reservoir type based on the exploration data comprises:

[0017] Based on the exploration data, a mathematical relationship between oil test production and each parameter is established through geological analysis and mathematical analysis, the main control factors of oil test production of the reservoir type are determined, and the oil test production prediction model of the exploration well of the reservoir type is established.

[0018] Optionally, the formula of the oil test production prediction model of the exploration well is:

[0019]

[0020] Optionally, the determination of the planar distribution of the parameters in the prediction model comprises:

[0021] The planar distribution law of the calculation parameters in the prediction model is predicted by applying a method comprising geophysical interpretation and inversion statistical analysis;

[0022] A digitalized map reflecting quantitative planar distribution of all parameters is formed by using a spatial difference method.

[0023] Optionally, the determination of the upgraded predicted reserve range based on the planar distribution and the prediction model comprises:

[0024] The prediction model is brought into the digitalized map to form a planar distribution map of oil test production of the exploration well;

[0025] The upgraded predicted reserve range is determined based on the planar distribution map.

[0026] In a second aspect, an embodiment of the present application further provides a predicted reserve upgrading evaluation device based on oil test production prediction of an exploration well, comprising:

[0027] A reservoir type determination module is configured to determine a reservoir type in a predicted reserve block to be evaluated based on obtained data.

[0028] A collection module is configured to collect exploration data of the determined reservoir type.

[0029] a prediction model module, configured to establish a prediction model of the test oil production of the exploration well of the oil reservoir type based on the exploration data;

[0030] a plane distribution determination module, configured to determine a plane distribution of parameters in the prediction model;

[0031] a reserve range determination module, configured to determine an upgraded prediction reserve range based on the plane distribution and the prediction model;

[0032] a reserve scale acquisition module, configured to obtain a reserve scale in the upgraded range based on the upgraded prediction reserve range.

[0033] Optionally, the establishing of the prediction model of the test oil production of the exploration well of the oil reservoir type based on the exploration data comprises:

[0034] establishing a mathematical relationship between the test oil production and the parameters based on the exploration data, determining a main control factor of the test oil production of the oil reservoir type through geological analysis and mathematical analysis, and establishing the prediction model of the test oil production of the exploration well of the oil reservoir type.

[0035] In a third aspect, an electronic device is provided, and the electronic device comprises:

[0036] a memory, which stores executable instructions;

[0037] a processor, which runs the executable instructions in the memory to implement the prediction reserve upgrading evaluation method based on the prediction of the test oil production of the exploration well according to any one of the first aspect.

[0038] The present application effectively solves the problem of lack of exploration data of the block to be evaluated by using the exploration well data of the oil reservoir type which is the same as or similar to the block to be evaluated, and achieves the purpose of quantitative prediction of the test oil production of the exploration well, and avoids the single reliance on geological analysis to evaluate the upgradability of the prediction reserve.

[0039] Other features and advantages of the present application will be described in detail in the following specific embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0040] The above and other objects, features and advantages of the present application will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings in which like reference characters refer to like parts throughout the different views of the drawings and in which:

[0041] Figure 1 a flow chart of the prediction reserve upgrading evaluation method based on the prediction of the test oil production of the exploration well according to an embodiment of the present application is shown;

[0042] Figure 2 A well test production prediction and actual production comparison diagram of one embodiment of the present application is shown;

[0043] Figure 3 A scalable prediction reserve range prediction diagram of one embodiment of the present application is shown. DETAILED DESCRIPTION

[0044] The preferred embodiments of the present application will be described in more detail below. Although the preferred embodiments of the present application are described below, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments set forth herein.

[0045] A prediction reserve upgrading evaluation method based on well test production prediction, comprising:

[0046] Determining a reservoir type in a prediction reserve block to be evaluated based on obtained data;

[0047] Collecting exploration data of the determined reservoir type;

[0048] Establishing a well test production prediction model corresponding to the reservoir type based on the exploration data;

[0049] Determining a planar distribution of parameters in the prediction model;

[0050] Determining an upgraded prediction reserve range based on the planar distribution and the prediction model;

[0051] Obtaining a reserve scale within the upgraded range based on the upgraded prediction reserve range.

[0052] Optionally, in the step of determining a reservoir type in a prediction reserve block to be evaluated based on obtained data, the obtained data comprises:

[0053] Comprehensive trap type, reservoir type, burial depth, porosity and permeability, and / or crude oil type.

[0054] Optionally, the exploration data comprises:

[0055] Logging interpretation data, experimental test data, well test / fracturing engineering data, and / or well test production data.

[0056] Optionally, the step of establishing a well test production prediction model corresponding to the reservoir type based on the exploration data comprises:

[0057] Based on the exploration data, a mathematical relationship between well test production and each parameter is established through geological analysis and mathematical analysis, the main control factors of well test production of the reservoir type are determined, and a well test production prediction model of the reservoir type is established.

[0058] Optionally, the formula of the exploratory well oil production prediction model is:

[0059]

[0060] The index of the crude oil viscosity is 0.215.

[0061] Optionally, the determination of the planar distribution of the parameters in the prediction model comprises:

[0062] The planar distribution law of the calculation parameters in the prediction model is predicted by applying three-dimensional seismic interpretation (a variety of methods such as geophysical interpretation and inversion statistical analysis);

[0063] The spatial difference method is used to form a digital map that can reflect the quantitative planar distribution of all parameters.

[0064] Optionally, the determination of the upgraded predicted reserve range based on the planar distribution and the prediction model comprises:

[0065] The prediction model is brought into the digital map to form an exploratory well oil production planar distribution map;

[0066] The upgraded predicted reserve range is determined based on the planar distribution map.

[0067] Embodiment one:

[0068] A method for evaluating the upgradability of predicted reserves, comprising:

[0069] (1) dividing the upgradable range of the predicted reserve block to be evaluated, and calculating the upgradable reserve scale;

[0070] (2) determining the reservoir geological limit by establishing an exploratory well oil production prediction model and taking the exploratory well commercial oil flow limit as the standard;

[0071] (3) determining the upgradable predicted reserve range by selecting the reserves area that meets the reservoir geological limit according to the seismic exploration prediction result;

[0072] (4) calculating the upgradable reserve scale according to the upgradable predicted reserve range.

[0073] As shown in Figure 1 (1) determining the reservoir type of the predicted reserve block to be evaluated by comprehensively considering the trap type, reservoir type, burial depth, porosity and permeability, crude oil type, etc.

[0074] (2) collecting the exploration data of the implemented exploratory well of the reservoir type determined in (1), such as logging interpretation data, experimental test data, oil test / fracturing engineering data, oil test production data, etc.

[0075] (3) Based on the data collected in (2), through geological analysis and mathematical analysis, the mathematical relationship between the test oil production and the parameters is established, the main control factors of the test oil production of this type of reservoir are determined, and the test oil production prediction model of the exploration well of this reservoir type is established;

[0076] (4) For the block to be evaluated and predicted reserves, apply three-dimensional seismic interpretation to predict the planar distribution of the calculation parameters in the test oil production prediction model established in (3), and reasonably use the spatial difference method to form a comprehensive digital map that can reflect the quantitative planar distribution of all parameters;

[0077] (5) The test oil production prediction model is brought into the digital map to form a planar distribution map of the test oil production of the exploration well;

[0078] (6) According to the commercial oil flow standard in this area, the reserves range that can reach the commercial oil flow limit in the planar map in (5) is divided as the upgradeable reserves range, as shown in Figure 3 . Figure 3 The solid line is the boundary of the predicted reserves block, the dashed line is the boundary of the predicted commercial oil flow, and the dark part surrounded by the dashed line is the predicted upgradeable reserves range.

[0079] (7) The size of the reserves in the upgradeable range is calculated by using a reasonable reserves calculation method. The comparison between the predicted test oil production of the exploration well and the actual production is shown in Figure 2 . Figure 2 The fitted R 2 = 0.82.

[0080] Reserves calculation methods include volumetric method, analogy method, material balance method, production decline method, and unsteady-state well test method, etc.

[0081] Among them, the volumetric method is a method that uses static data and parameters of oil and gas fields to determine the oil and gas volume of the oil and gas layer to calculate the pore reservoir oil and gas reserves.

[0082] Oil and gas reserves are an important basis for guiding oil and gas field exploration and development and determining investment scale. In the early stage of oil field exploration, it is difficult to accurately calculate reserves, and the volumetric method is the only method that can use static data to calculate reserves before the oil field is put into production. It is widely applicable to different types of traps, reservoirs and driving methods. It has been used for a long time, from the discovery of oil fields to the development of the middle period.

[0083] The reliability of the volumetric method for calculating reserves increases with the increase of data. From experience, the accuracy of reservoir reserve calculation for large and medium-sized structural reservoirs is relatively high, and the accuracy of reservoir reserve calculation for complex fault block, lithology and fracture reservoirs is relatively poor.

[0084] The essence of volumetric method for calculating oil and gas reserves is to calculate the volume of oil and gas in the pore space of underground rock, and then express it in terms of ground volume unit or weight unit.

[0085] The essence of volumetric method for calculating reserves is to calculate the volume of crude oil in the pore space of underground rock, and then express it in terms of ground volume unit or weight unit. In the calculation of reserves, first of all, the calculation unit is divided, and parameters such as oil-bearing area, effective thickness, effective porosity and oil saturation are determined. The factors affecting the calculation of reserves include oil-bearing area, effective thickness of oil layer, effective porosity, oil saturation, ground crude oil density, crude oil volume coefficient, etc. The reliability of the calculation of reserves by volumetric method depends on the quantity and quality of the above-mentioned factors and the method of obtaining each parameter.

[0086] When calculating geological reserves by using the traditional method, all parameters are average values except that the oil-bearing area is the total oil-bearing area of the calculation block. When calculating geological reserves by using the triangular net method, all parameters are actual values except that the oil-bearing area is the oil-bearing area controlled by a single well.

[0087] The principle of volumetric method for calculating oil and gas reserves is relatively simple, but it is very difficult to accurately determine each parameter. Generally speaking, the six parameters have a decreasing impact on the accuracy of reserves, among which the oil-bearing area and the effective thickness have the greatest impact on the accuracy of reserves calculation, and they often have a multiple error at the early stage of exploration, which should be paid special attention to. It is the important task of seismic and geological exploration personnel to submit a more reliable oil-bearing area, and it is the work of oilfield geologists and well logging personnel to accurately determine other parameters, and it is the result of joint efforts of geologists, seismologists and well logging personnel to accurately calculate geological reserves.

[0088] Parameter determination method:

[0089] Oil-bearing area: Oil-bearing area refers to the area with industrial oil flow, and is the primary parameter for calculating reserves by volumetric method. After an oil trap is found to have industrial oil flow, the boundary should be explored first, and only after the range of the oil reservoir is determined can the reserves be calculated. The size of the oil-bearing area depends on the trap type of the oil-producing layer, the physical property variation of the reservoir and the oil-water distribution rule, so it is also a comprehensive result of oilfield exploration. For oil reservoirs with homogeneous oil layers, stable physical properties, simple structure and few faults, the oil-bearing area can be determined according to the oil-water boundary. In actual exploration, especially for oil and gas reservoirs discovered in recent exploration, the geological conditions are complex, and the oil-bearing boundary is composed of multiple boundaries such as oil-water boundary, oil-gas boundary, lithological boundary and fault boundary. Therefore, the shape of the trap, the location of the fault and the lithological barrier distribution must be determined, and the type of the oil reservoir controlling the oil-water distribution must be determined, so that the various boundaries can be accurately determined and the oil-bearing area can be delineated.

[0090] Property criteria: the lower limit criteria of effective thickness, mainly refers to the lower limit of the three parameters of porosity, permeability and oil saturation. Among them, oil saturation is the basis. According to the principle of relative permeability, the oil layer has oil production capacity as long as it has a certain oil saturation. Because it is difficult to accurately obtain the original oil saturation of the oil layer from general core data, the porosity and permeability parameters are usually used to reflect the lower limit of the property.

[0091] There are many methods to determine the lower limit of the property of the effective thickness, such as test method, empirical statistical method, oil-bearing occurrence method and mud invasion method. Each oil field can choose and use according to the geological conditions and data collection of the oil field.

[0092] Original oil saturation: the original oil saturation refers to the oil saturation of the oil layer in the original state before being put into production. When there is no free gas in the oil layer pores, the pores are fully saturated with oil and water, and the oil saturation = 100%-water saturation.

[0093] To determine the oil saturation, core analysis or calculation based on logging data can be used. When using core analysis, in order to avoid the influence of mud water invasion, oil-based mud coring or sealed coring should be used. The pressure of the oil layer should be maintained as much as possible, and the gas should not be overflowed, and the oil saturation should be measured on site. In the early stage of oilfield development, when oil-based mud coring data is not available, the experience formula and chart of other oil fields can be referred to, and the actual conditions of the oil field are calculated. If there is no oil-based mud and sealed coring data, the relationship curve of water saturation and permeability can be referred to, and the irreducible water saturation is determined by using the lower limit value of the effective thickness permeability, and then the oil saturation is obtained.

[0094] The arithmetic mean method or the area weighted average method can be used to calculate the average value of the original oil saturation, but the former is more commonly used. Considering that the oil saturation of the transition zone is lower than that of the oil-bearing area, it should be treated separately when calculating the reserves.

[0095] Example two:

[0096] A prediction reserve upgrading evaluation device based on a test oil production prediction of an exploration well, comprising:

[0097] A reservoir type determination module for determining a reservoir type in a block to be evaluated based on the obtained data;

[0098] A collection module for collecting exploration data of the determined reservoir type;

[0099] A prediction model module for establishing a test oil production prediction model of the reservoir type based on the exploration data;

[0100] A plane distribution determination module for determining the plane distribution of the parameters in the prediction model;

[0101] The reserve range determination module is configured to determine an upgraded predicted reserve range based on the planar distribution and the prediction model.

[0102] The reserve scale acquisition module is configured to obtain a reserve scale within the upgraded range based on the upgraded predicted reserve range.

[0103] Optionally, the method for establishing the well test production prediction model of the exploration well of the oil reservoir type based on the exploration data comprises:

[0104] The well test production prediction model of the exploration well of the oil reservoir type is established by establishing a mathematical relationship between the well test production and each parameter based on the exploration data through geological analysis and mathematical analysis, and determining a main control factor of the well test production of the oil reservoir type.

[0105] Embodiment three:

[0106] An electronic device provided by an embodiment of the present application comprises a memory and a processor,

[0107] The memory stores executable instructions.

[0108] The processor runs the executable instructions in the memory to implement the prediction reserve upgrading evaluation method based on well test production prediction.

[0109] The memory is configured to store non-transitory computer-readable instructions. Specifically, the memory can comprise one or more computer program products, which can comprise various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may, for example, comprise random access memory (RAM) and / or cache memory, etc. The non-volatile memory may, for example, comprise read-only memory (ROM), a hard disk, a flash memory, etc.

[0110] The processor can be a central processing unit (CPU) or other forms of processing units with data processing and / or instruction execution capabilities, and can control other components in the electronic device to perform desired functions. In an embodiment of the present application, the processor is configured to run the computer-readable instructions stored in the memory.

[0111] Those skilled in the art should understand that, in order to solve the technical problem of how to obtain a good user experience effect, the embodiment can also comprise well-known structures such as a communication bus, an interface, etc., which should also be included in the protection scope of the present application.

[0112] Detailed descriptions of the embodiment can refer to the corresponding descriptions in the foregoing embodiments, which will not be described here again.

[0113] Embodiment four:

[0114] The embodiment of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement a predicted reserve upgrading evaluation method based on a test oil production of a exploratory well.

[0115] The computer readable storage medium according to the embodiment of the present application stores non-transitory computer readable instructions. When the non-transitory computer readable instructions are run by a processor, all or part of the steps of the method of each embodiment of the present application are executed.

[0116] The computer readable storage medium includes, but is not limited to, an optical storage medium (for example, CD-ROM and DVD), a magneto-optical storage medium (for example, MO), a magnetic storage medium (for example, a magnetic tape or a mobile hard disk), a medium with a built-in rewritable non-volatile memory (for example, a memory card), and a medium with a built-in ROM (for example, a ROM cartridge).

[0117] The above has described the embodiments of the present application, and the above description is exemplary, is not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes are obvious to those skilled in the art without departing from the scope and spirit of the described embodiments.

Claims

1. A method for evaluating a prediction reserve upgrade based on a prediction of a production rate of a test well, characterized by, The method comprises the following steps: determining the reservoir type in the predicted reserve block to be evaluated based on the obtained data; collecting exploration data of the determined reservoir type; establishing a corresponding exploratory well test production prediction model of the reservoir type based on the exploration data; determining the plane distribution of parameters in the prediction model; determining the upgraded predicted reserve range based on the plane distribution and the prediction model; obtaining the reserve scale in the upgraded range based on the upgraded predicted reserve range; wherein the determination of the plane distribution of parameters in the prediction model comprises: applying a method comprising geophysical processing and inversion statistical analysis to predict the plane distribution law of the calculation parameters in the prediction model; using a spatial difference method to form a digital map that can reflect the quantitative plane distribution of all parameters; the parameters in the prediction model include the porosity, permeability, thickness and crude oil viscosity of the reservoir; the determination of the upgraded predicted reserve range based on the plane distribution and the prediction model comprises: bringing the prediction model into the digital map to form a plane distribution map of exploratory well test production; determining the upgraded predicted reserve range based on the plane distribution map.

2. The method for predicting reserve upgrade evaluation based on the production prediction of exploratory well test according to claim 1, characterized in that, In the determination of the reservoir type in the predicted reserve block to be evaluated based on the obtained data, the obtained data comprises: comprehensive trap type, reservoir type, oil layer thickness, burial depth, porosity and permeability, and crude oil properties.

3. The method for predicting reserve upgrade evaluation based on the production of exploratory well test according to claim 1, characterized in that, The exploration data comprises: logging interpretation data, experimental test data, test oil / fracturing engineering data, and test oil production data.

4. The method for predicting reserve upgrade evaluation based on exploratory test production according to claim 1, characterized in that, The establishment of the exploratory well test production prediction model of the corresponding reservoir type based on the exploration data comprises: based on the exploration data, through geological analysis and mathematical analysis, the mathematical relationship between test oil production and each parameter is established, the main control factors of test oil production of the reservoir type are determined, and the exploratory well test production prediction model of the reservoir type is established.

5. The method for predicting reserve upgrade evaluation based on the production of exploratory well test according to claim 4, characterized in that, The formula of the exploratory well test production prediction model is: 。 6. A device for evaluating a prediction of reserve upgrading based on a production test of a probe well, characterized by comprising: The method comprises the following steps: a reservoir type determination module for determining the reservoir type in the predicted reserve block to be evaluated based on the obtained data; a collection module for collecting exploration data of the determined reservoir type; a prediction model module for establishing a corresponding exploratory well test production prediction model of the reservoir type based on the exploration data; a plane distribution determination module for determining the plane distribution of parameters in the prediction model; a reserve range determination module for determining the upgraded predicted reserve range based on the plane distribution and the prediction model; a reserve scale obtaining module for obtaining the reserve scale in the upgraded range based on the upgraded predicted reserve range; wherein the determination of the plane distribution of parameters in the prediction model comprises: applying a method comprising geophysical processing and inversion statistical analysis to predict the plane distribution law of the calculation parameters in the prediction model; using a spatial difference method to form a digital map that can reflect the quantitative plane distribution of all parameters; the parameters in the prediction model include the porosity, permeability, thickness and crude oil viscosity of the reservoir; The method further comprises: determining an upgraded predicted reserve range based on the planar distribution and the prediction model, including: bringing the prediction model into a digitalized map to form a planar distribution map of test oil production of exploratory wells; and determining the upgraded predicted reserve range based on the planar distribution map.

7. The device for predicting reserve upgrade evaluation based on exploratory well test production prediction according to claim 6, characterized in that, The method further comprises: The method further comprises: determining an upgraded predicted reserve range based on the planar distribution and the prediction model, including: bringing the prediction model into a digitalized map to form a planar distribution map of test oil production of exploratory wells; and determining the upgraded predicted reserve range based on the planar distribution map.

8. An electronic device, comprising: The electronic device comprises: a memory storing executable instructions; a processor running the executable instructions in the memory to implement the method for evaluating an upgraded predicted reserve based on test oil production prediction of exploratory wells according to any one of claims 1-5.

Images