Method and device for improving reservoir resolution based on phase-controlled inversion

Abstract

The invention discloses a method and device for improving reservoir resolution based on phase control inversion, and the inversion method comprises the steps: carrying out the investigation and measurement of a drilled well in a well control region, obtaining a logging data set, carrying out the recognition of a sandstone reservoir in the well control region according to the wave impedance data and target data of the logging data set, and carrying out the recognition of the sandstone reservoir in the well control region. As the target data is logging data which does not comprise wave impedance data and can identify the sandstone reservoir, when the wave impedance data cannot identify the sandstone reservoir and the target data can identify the sandstone reservoir, it is indicated that the position of the sandstone reservoir cannot be predicted based on the wave impedance, a well control area is divided into a plurality of well control blocks containing drilling, and the position of the sandstone reservoir cannot be predicted based on the drilling. According to the method, corresponding phase control simulation inversion is carried out on each well control block, and due to the fact that a more suitable phase control inversion method is carried out on each well control block, the reservoir position of each well control block can be predicted more accurately, and the reservoir prediction accuracy is further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of reservoir prediction, and in particular to a method and device for improving reservoir resolution based on phase-controlled inversion. Background Art

[0002] From the late 1980s to today, seismic inversion technology has undergone a long development and has become a more effective method among many reservoir prediction technologies. In actual production, whether it is the location demonstration of exploratory wells or the description and development of oil and gas reserves, seismic inversion technology is needed for actual prediction work, which shows its importance to the domestic comprehensive industry.

[0003] Seismic inversion technology is a general term that includes many types of inversion technologies. Its basic principle is to use surface observation data to re-image and analyze the spatial geometric structure and physical properties of the underground layer. The purpose of seismic inversion is to obtain an underground medium model through multiple calculations and analyses of known observation data, so as to effectively make predictions and improve production efficiency. In exploratory well detection, the characteristics of well point data are fine vertical information, and the characteristics of seismic data are super-strong horizontal information continuity. Seismic inversion technology organically combines the two, and then inverts through multiple comparisons of data, converting interface-type seismic data into rock-type wave impedance, velocity values ​​and other data, so that it can be clearly and intuitively compared with drilling and logging data. However, the current conventional post-stack seismic inversion is all inversion wave impedance, which has certain limitations. Simple wave impedance inversion cannot make accurate reservoir predictions.

[0004] Therefore, how to improve the accuracy of reservoir prediction through seismic inversion is a technical problem that needs to be solved urgently. Summary of the invention

[0005] The method and device for improving reservoir resolution based on phase-controlled inversion of the present invention can solve the limitations of inverted wave impedance in some specific cases. In the exploration of complex oil and gas reservoirs, due to the limitations of low-quality data conditions and the overlap of wave impedance between reservoirs and non-reservoir layers, it is very difficult to use simple wave impedance inversion to accurately predict reservoirs, and it is impossible to provide scientific, fast and systematic identification of reservoir decisions, thereby improving the accuracy of reservoir prediction.

[0006] The embodiment of the present invention provides the following solution:

[0007] In a first aspect, an embodiment of the present invention provides a method for improving reservoir resolution based on phase-controlled inversion, the method comprising:

[0008] Conducting survey and measurement on the drilled wells in the well control area to obtain a well logging data set, wherein the well control area is an area where oil and gas development is to be carried out;

[0009] According to the wave impedance data and the target data of the well logging data set, the sandstone reservoir in the well controlled area is identified respectively, wherein the target data is the well logging data that does not include the wave impedance data and can identify the sandstone reservoir;

[0010] When the wave impedance data cannot identify the sandstone reservoir, and the target data can identify the sandstone reservoir, dividing the well control area into a plurality of well control blocks, wherein each well control block includes at least one well;

[0011] A corresponding phase control simulation inversion is performed on each well-controlled block to predict the reservoir position of each well-controlled block.

[0012] In an optional embodiment, the well control area is an area containing a fault, and the well control area is divided into a plurality of well control blocks, including:

[0013] The well-controlled area is segmented according to the fault to obtain the plurality of well-controlled blocks.

[0014] In an optional embodiment, the well control area is an area that does not contain a fault, and the well control area is divided into a plurality of well control blocks, including:

[0015] Determining block boundaries based on regional drilling and geological information for the well-controlled area;

[0016] The well control area is divided according to the block boundaries to obtain the multiple well control blocks.

[0017] In an optional embodiment, performing corresponding phase control simulation inversion on each well-controlled block includes:

[0018] Obtaining the well control degree of each well control block, wherein the well control degree is the ratio of the drilling control area of ​​the well control block to the area of ​​the corresponding block;

[0019] Determining whether the well control degree is greater than a set threshold;

[0020] If yes, predicting the reservoir position of the well-controlled block according to the waveform indication simulation inversion method;

[0021] If not, the reservoir position of the well-controlled block is predicted according to the waveform difference simulation inversion method.

[0022] In an optional embodiment, obtaining the well control degree of each well control block includes:

[0023] Obtaining oil and gas resource information of each well in the well control block;

[0024] Measuring the area of ​​the well control block to obtain the area of ​​the block;

[0025] Obtaining the permeability area of ​​each well according to the oil and gas resource information of each well and the corresponding single well control radius;

[0026] Performing a Boolean sum operation on all permeable areas of the well control block to obtain a drilling control area of ​​the well control block;

[0027] The well control degree corresponding to the well control block is obtained according to the ratio of the drilling control area to the block area.

[0028] In an optional embodiment, the identifying of the sandstone reservoir in the well-controlled area according to the wave impedance data and the target data of the well logging data set includes:

[0029] generating a first histogram or a first cross-plot according to the wave impedance data;

[0030] Determining whether the first histogram or the first cross-plot can identify the sandstone reservoir;

[0031] If yes, identifying the sandstone reservoir according to the first histogram or the first cross-plot;

[0032] If not, the second histogram or the second cross-plot is generated according to the target data, and the sandstone reservoir is identified according to the second histogram or the second cross-plot.

[0033] In an optional embodiment, before identifying the sandstone reservoir in the well-controlled area according to the wave impedance data and the target data of the logging data set, the method further includes:

[0034] Abnormal data in the wave impedance data and the target data are eliminated, and baseline correction is performed.

[0035] In a second aspect, an embodiment of the present invention further provides a method for improving reservoir resolution based on phase-controlled inversion, the device comprising:

[0036] A measurement acquisition module, used to conduct survey measurements on the drilled wells in the well control area to obtain a well logging data set, wherein the well control area is an area to be developed for oil and gas;

[0037] A reservoir identification module, used to identify the sandstone reservoir in the well-controlled area according to the wave impedance data and the target data of the well logging data set, wherein the target data is the well logging data that does not include the wave impedance data and can identify the sandstone reservoir;

[0038] A block division module, used for dividing the well control area into a plurality of well control blocks when the wave impedance data cannot identify the sandstone reservoir and the target data can identify the sandstone reservoir, wherein each well control block includes at least one well;

[0039] The inversion prediction module is used to perform corresponding phase control simulation inversion on each well-controlled block to predict the reservoir position of each well-controlled block.

[0040] In a third aspect, an embodiment of the present invention further provides an electronic device, comprising a processor and a memory, wherein the memory is coupled to the processor, and the memory stores instructions, which, when executed by the processor, enable the electronic device to perform the steps of any one of the methods described in the first aspect.

[0041] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any one of the methods described in the first aspect.

[0042] Compared with the prior art, the method and device for improving reservoir resolution based on phase-controlled inversion of the present invention have the following advantages:

[0043] The inversion method of the present invention obtains a logging data set by conducting survey and measurement on the drilled wells in the well control area, and identifies the sandstone reservoirs in the well control area according to the wave impedance data and target data of the logging data set. Since the target data is the logging data that does not include the wave impedance data and can identify the sandstone reservoir, when the wave impedance data cannot identify the sandstone reservoir and the target data can identify the sandstone reservoir, it means that the position of the sandstone reservoir cannot be predicted based on the wave impedance. The well control area is divided into a plurality of well control blocks that all contain drilling, and a corresponding phase-controlled simulation inversion is performed on each well control block. Since a more suitable phase-controlled inversion method is implemented in each well control block, the reservoir position of each well control block can be more accurately predicted. In the development of oil reservoirs, the method can achieve more accurate identification, evaluation and research on the reservoir range in the well control area through inversion, thereby improving the accuracy of reservoir prediction. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of this specification or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0045] Figure 1 A flow chart of a method for improving reservoir resolution based on phase-controlled inversion provided in an embodiment of the present invention;

[0046] Figure 2 A schematic diagram of the mechanism of seismic inversion provided by an embodiment of the present invention;

[0047] Figure 3 A schematic diagram of identifying a sandstone reservoir through a histogram provided by an embodiment of the present invention;

[0048] Figure 4 A diagram of implementation steps of the phase-controlled inversion method provided by an embodiment of the present invention;

[0049] Figure 5-1 A schematic diagram of an SP curve before preprocessing provided by an embodiment of the present invention;

[0050] Figure 5-2 A schematic diagram of a preprocessed SP curve provided in an embodiment of the present invention;

[0051] Figure 6 A schematic diagram of a well control degree analysis table provided in an embodiment of the present invention;

[0052] Figure 7 A reservoir range result diagram obtained through waveform indication simulation inversion provided by an embodiment of the present invention;

[0053] Figure 8 A reservoir range result diagram obtained through waveform difference simulation inversion provided by an embodiment of the present invention;

[0054] Fig. 9 A schematic diagram of the results of a device for improving reservoir resolution by phase-controlled inversion provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention belong to the scope of protection of the embodiments of the present invention.

[0056] For fine oil and gas exploration in well areas, seismic inversion plays an important role in research work such as reservoir description and lateral prediction of oil and gas. Seismic inversion utilizes vertical lithology information, logging data, and seismic data with dense horizontal information. It reflects underground geological structure and reservoir lithology characteristics through seismic inversion, understands the lateral and vertical laws of oil and gas basins under reservoir conditions, and finds areas that are conducive to oil and gas enrichment, providing a scientific basis for exploration and development. At present, conventional post-stack seismic inversion mainly includes trace integration, recursive inversion, and inversion based on three-dimensional models, but these inversions are all based on wave impedance and have certain limitations. In the exploration of complex oil and gas reservoirs, due to the limitations of low-quality data conditions and the overlap of wave impedance between reservoirs and non-reservoirs, it is very difficult to use simple wave impedance inversion for accurate reservoir prediction, so we must adopt a new inversion method. Nowadays, seismic inversion is gaining more and more attention. Various seismic attributes contain very rich geological information. Various information about lithology and reservoir properties hidden in seismic data can be picked up from seismic data to establish a relationship with the reservoir. At the same time, when inverting phase attributes, it is not subject to various constraints of sub-waves and geological models, and any lithology parameters can be inverted, which greatly improves the accuracy of inversion. However, the inversion of a single seismic attribute often has multiple solutions and low reliability. In-depth research is conducted on the use of other phase attributes to establish a good relationship with the lithology and physical properties of well logging. Therefore, at this stage, it is urgent to find a way to implement high-resolution inversion when wave impedance cannot identify the reservoir, but there is a sensitive curve, so as to accurately predict the underground reservoir.

[0057] The following embodiments of the present invention will specifically explain how to solve the above technical problems. Figure 1 , Figure 1 A flowchart of a method for improving reservoir resolution based on phase-controlled inversion provided in an embodiment of the present invention, the method comprising:

[0058] S11. Conducting survey and measurement on the drilled wells in the well control area to obtain a well logging data set, wherein the well control area is an area where oil and gas development is to be carried out.

[0059] Specifically, seismic inversion is the process of imaging the spatial structure and physical properties of underground rock formations using surface seismic observation data, with known geological laws and drilling and logging data as constraints. In oil and gas development, seismic inversion is performed on drilled wells to predict the location of undrilled reservoirs. Figure 2In the figure, well 1# is an undrilled well to be predicted, and wells 2#-8# are drilled wells. Among them, wells 2#, 3# and 4# are located in the river channel, and wells 5#-8# are located on the river bank. The reservoir position of well 1# can be determined by performing seismic inversion on wells 2#, 3# and 4#, that is, by using the logging data sets of wells 2#, 3# and 4#. The logging data sets can be obtained by the staff through on-site inspection and measurement of the drilled wells in the well control area. After obtaining the logging data sets, step S12 is entered.

[0060] S12. Identify the sandstone reservoir in the well-controlled area according to the wave impedance data and the target data of the well logging data set, wherein the target data is the well logging data that does not include the wave impedance data and can identify the sandstone reservoir.

[0061] Specifically, the wave impedance data characterizes the ratio of the pressure acting on a certain area to the particle flow rate passing vertically through this area per unit time when the seismic wave propagates; the wave impedance data can be used to fit and generate a wave impedance curve, and then a histogram can be generated based on the wave impedance curve, and the sandstone reservoir can be identified through the histogram; similarly, the corresponding histogram can also be generated through the target data to identify the sandstone reservoir.

[0062] The target data may be data that can generate curves and draw histograms for reservoir identification, such as data of SP curves. Reservoir identification can also be implemented based on the target data, or a corresponding cross-plot can be generated based on the target data, and then the sandstone reservoir can be identified based on the cross-plot. It should be noted that when identifying a sandstone reservoir, a first histogram or a first cross-plot can be generated based on the wave impedance data. If the sandstone reservoir can be identified based on the first histogram or the first cross-plot, the sandstone reservoir is identified based on the first histogram or the first cross-plot; if it cannot be identified, a second histogram or a second cross-plot is generated based on the target data, and the sandstone reservoir is identified based on the second histogram or the second cross-plot.

[0063] See also Figure 3 , Figure 3 The histogram drawn based on the target data, the intersection of curves K1 and K2 generates a curve K3, the side of K3 close to K1 is a sandstone reservoir, and the side of K3 close to K2 is a mudstone non-reservoir. It should be noted that when performing reservoir identification based on target data, reservoir sensitivity analysis can be performed first to screen out the sensitivity curve, and then a histogram of sandstone and mudstone distribution is made based on the sensitivity curve, and the sandstone reservoir is determined by the histogram.

[0064] In practical applications, since the wave impedance data and target data are obtained based on seismic inversion, there may be abnormal data, such as some invalid values, which will have an adverse effect on reservoir prediction. Based on this, in a specific implementation, before identifying the sandstone reservoir in the well control area according to the wave impedance data and target data of the logging data set, the method also includes: eliminating abnormal data in the wave impedance data and target data, and performing baseline correction.

[0065] Specifically, when removing abnormal data, it can be implemented based on the numerical value of the data. If the wave impedance data and the target data are greater than the set normal data threshold, the data is determined to be abnormal data and deleted. Baseline correction can be implemented manually or by software tools. Through abnormal data removal and baseline correction, the accuracy of the processed data can be optimized to accurately perform subsequent sandstone reservoir identification. After reservoir identification, step S13 is entered.

[0066] S13. When the wave impedance data cannot identify the sandstone reservoir, but the target data can identify the sandstone reservoir, the well control area is divided into a plurality of well control blocks, wherein each well control block includes at least one well.

[0067] Specifically, when the wave impedance data cannot identify the sandstone reservoir, but the histogram generated by the target data can identify it, it means that the location of the reservoir cannot be accurately predicted by the wave impedance. In this case, the well control area is divided into multiple well control blocks. The division method can be implemented based on the experience of technical personnel. For example, the well control area is divided based on the historical experience, knowledge accumulation and other comprehensive capabilities of industry experts, so as to facilitate the application of appropriate inversion methods to the divided well control blocks and ultimately determine the reservoir location of each small block.

[0068] When implementing the division of well-controlled blocks, you can first determine whether there are faults in the well-controlled area. If there are faults, it means that the distribution of oil and gas may be separated by faults. In this case, the well-controlled area is divided according to the faults. The well-controlled area can be divided into multiple blocks by faults, and then the well-controlled blocks can be divided based on the multiple blocks; or multiple well-controlled blocks can be directly determined based on the blocks divided by the faults. It should be noted that the path of the fault can be determined based on seismic data, which will not be described here. If there are no faults, the block boundaries are determined based on the regional drilling and geological information of the well-controlled area. When implementing the development and release of oil and gas wells, the distance between the wells to be drilled and the wells that have been drilled is usually within the set distance threshold, which is convenient for drilling and production. The geological information may be the surface morphology of the well-controlled area. The distribution range of oil and gas resources in the well-controlled area may be determined through the geological information. For example, if the northeast corner of the well-controlled area is determined to have great development potential through the geological information, the well-controlled area is segmented based on the block boundary at the northeast corner, thereby determining the oil and gas development location. Based on this, the well-controlled area is divided into a plurality of well-controlled blocks. After the well-controlled area is divided into a plurality of well-controlled blocks, step S14 is entered.

[0069] S14. Perform corresponding phase control simulation inversion on each well-controlled block to predict the reservoir position of each well-controlled block.

[0070] Specifically, since the block area of ​​the well-controlled block is relatively small, the corresponding phase-controlled simulation inversion can be implemented according to the coverage of oil and gas in the well-controlled block. For example, the number of wells and the block area of ​​the well-controlled block are first determined. If the number of wells is large and the block area is small, the waveform indication simulation inversion method is used to predict the reservoir position; if the number of wells is small and the block area is large, the waveform difference simulation inversion method is used to predict the reservoir position, and finally the reservoir position of each small block in the well-controlled area is determined.

[0071] In a specific implementation, a corresponding phase control simulation inversion is performed on each well control block, including:

[0072] The first step is to obtain the well control degree of each well control block, where the well control degree is the ratio of the drilling control area of ​​the well control block to the corresponding block area; the well control degree represents the control degree of the well control block in implementing oil and gas development. It can be determined by looking up the table based on the number of wells drilled and the block area, and a well control degree comparison table can be pre-set. For example, the more wells drilled and the smaller the block area, the higher the corresponding well control level; conversely, the lower the well control level.

[0073] In order to accurately determine the well control degree of the well control block, in a feasible solution, the oil and gas resource information of each well in the well control block can be obtained. The oil and gas resource information can characterize whether the resource exploited by the well is thin oil, heavy oil or natural gas. Different resources have different corresponding permeabilities, and thus different well control radii. The area of ​​the well control block is measured to obtain the block area. The block area can be obtained by calculation by technicians or by software measurement tools, such as by measuring the block area of ​​each well control block using Geowork software. Then, based on the oil and gas resource information of each well and the corresponding single well control radius, the permeability area of ​​each well is obtained; the single well control radius characterizes the exploitation radius of this type of oil and gas resources in the well. Please refer to Table 1.

[0074] Table 1

[0075] Statistics of well control radius of single wells for different oil products Reservoir with permeability not higher than 500mD Reservoir with permeability higher than 500mD Control radius of thin oil single well 150m 250m Heavy oil (including extra heavy oil) single well control radius / 150m Natural gas single well control radius 1000m 700m

[0076] Table 1 can be used to query the single well control radius corresponding to the oil and gas resource information. The permeability area of ​​the well can be obtained based on the product of the square of the radius and the pi. All the permeability areas of the well control block are Boolean summed to obtain the drilling control area of ​​the well control block. Since there may be multiple wells in a well control block, the permeability areas of multiple wells may overlap. After the implementation of the Boolean operation, the repeated cumulative calculation of the overlapping permeability areas can be avoided, making the calculation of the drilling control area more accurate. Then, according to the ratio of the drilling control area to the block area, the well control degree of the corresponding well control block can be obtained.

[0077] The second step is to determine whether the well control degree is greater than a set threshold value. The set threshold value can be set to 10% or other values ​​according to actual needs.

[0078] The third step is to predict the reservoir position of the well-controlled block according to the waveform indication simulation inversion method when the well control degree is greater than the set threshold; and to predict the reservoir position of the well-controlled block according to the waveform difference simulation inversion method when the well control degree is greater than the set threshold.

[0079] The following embodiments of the present invention will combine with specific examples to illustrate how to implement the method of improving reservoir resolution based on phase-controlled inversion. The oil layer depth of the well reservoir studied in this embodiment is 2200m, and the thickness of the oil layer is uneven in each block. The porosity is generally 13.1%-23.2%, with an average of 18.1%; the permeability is generally 41.5-272.5mD, with an average of 161.5mD, which is a medium-porosity and medium-permeability reservoir. The original formation pressure of the oil layer is 28.7MPa, the saturation pressure is 24.1MPa, the geothermal gradient is 3.79℃ / 100m, the temperature in the middle of the oil layer is 94℃, the current formation pressure is 19.7-23.6MPa, and the pressure coefficient is 0.78-0.93. The crude oil has good properties and is an ordinary light oil. According to the oil test analysis data, the density of the ground crude oil at 20℃ is 0.8225g / cm 3 , the viscosity of crude oil at 50℃ is 2.29mPa·s, the wax content is 6.97%, the colloid and asphalt content is 4.05%, and the freezing point is 19.7℃. The reservoir location of the well to be predicted should be compared with the nearby wells, and the reservoir status of the area to be predicted will be formed after final analysis.

[0080] See also Figure 4 , Figure 4 To implement the step chart, when predicting the reservoir location in a well-controlled area (or large well area) with inconsistent well control, first extract the sample index parameters of 20 blocks in the well area as the basis, use the subjective and objective factors to process the logging data, and analyze all the single well logging data in the well area. The data analysis includes removing curve outliers and baseline correction. Please refer to Figure 5-1 and 5-2 ,The comparison of the data before and after processing shows that the ,accuracy of single well logging data after processing is better.

[0081] Since the wave impedance of the well-controlled area cannot identify the reservoir, the reservoir sensitivity analysis is performed on other different curves in different blocks in the well-controlled area using histograms or cross plots. Finally, the SP curve is selected as the sensitive curve of the area, and the SP sandstone distribution histogram is made.

[0082] See also Figure 6 Based on the data of 20 blocks in the well area, the well control degree of each block was evaluated. The block area, number of wells in the block, and location of wells in the block were carefully counted using the classification method. The statistical results are shown in Figure 6 The legal person table is used for characterization and compared with the conventional well-to-well distance. When the well control degree is greater than 10%, the well control degree of the well-controlled block is defined as high. When the well control degree is not greater than 10%, the well control degree of the well-controlled block is defined as low, so as to quantitatively evaluate the well control degree of each block in the well area.

[0083] For blocks with different well control levels, phase control simulation inversion is performed in different categories. Figure 7 , Figure 7 The prediction results are obtained by using high-resolution waveform indication simulation inversion method for blocks with high well control. In the figure, A1-A3 are all drilled wells, B1 is a deployed well to be drilled, C1 is the top of the first layer, C2 is the top of the second layer, C3 is the top of the third layer, D1 is the first fault, and D2 is the second fault. Figure 8 , Figure 8 The results of predicting the distribution range of reservoir sand bodies are obtained by using high-resolution waveform difference simulation inversion method for blocks with low well control. In the figure, A4 is a well that has been drilled, B2 is a well to be drilled, C4 is the top of the first layer, C5 is the top of the second layer, C6 is the top of the third layer, and D4 and D5 are both faults.

[0084] After predicting the well control area using the above method, the deployment well drilling construction was carried out, which showed that the inversion prediction results of the reservoir distribution range were consistent with the actual drilling results, further verifying the reliability and practicality of the method based on phase-controlled inversion to improve reservoir resolution. The method of improving reservoir resolution based on phase-controlled inversion of the present invention is scientific and reliable, and can be used to finely characterize the reservoir distribution range of other subsequent similar well areas. This method is a set of methods based on phase-controlled inversion to improve reservoir resolution that can make decisions more scientific and faster, and judge the reservoir locations of different blocks in the well area, so as to avoid non-reservoirs when deploying wells, improve oil field development effects, and maximize the investment benefits of oil fields.

[0085] Based on the same technical concept as the inversion method, the embodiment of the present invention also provides a method for improving reservoir resolution based on phase-controlled inversion. Fig. 9 , the device comprises:

[0086] The measurement acquisition module 901 is used to perform survey measurement on the drilled wells in the well control area to obtain a well logging data set, wherein the well control area is an area to be developed for oil and gas;

[0087] A reservoir identification module 902, for identifying the sandstone reservoir in the well-controlled area according to the wave impedance data and the target data of the well logging data set, wherein the target data is the well logging data that does not include the wave impedance data and can identify the sandstone reservoir;

[0088] A block division module 903 is used to divide the well control area into a plurality of well control blocks when the wave impedance data cannot identify the sandstone reservoir and the target data can identify the sandstone reservoir, wherein each well control block includes at least one well;

[0089] The inversion prediction module 904 is used to perform corresponding phase control simulation inversion on each well-controlled block to predict the reservoir position of each well-controlled block.

[0090] In an optional embodiment, the well control area is an area including a fault, and the block division module includes:

[0091] The first obtaining submodule is used to segment the well-controlled area according to the fault to obtain the multiple well-controlled blocks.

[0092] In an optional embodiment, the well control area is an area that does not contain a fault, and the block division module includes:

[0093] a determination submodule for determining block boundaries based on regional drilling and geological information of the well control area;

[0094] The second obtaining submodule is used to segment the well control area according to the block boundary to obtain the multiple well control blocks.

[0095] In an optional embodiment, the inversion prediction module includes:

[0096] An acquisition submodule, used for acquiring the well control degree of each well control block, wherein the well control degree is the ratio of the drilling control area of ​​the well control block to the area of ​​the corresponding block;

[0097] A first judgment submodule is used to judge whether the well control degree is greater than a set threshold;

[0098] A first prediction submodule is used to predict the reservoir position of the well-controlled block according to the waveform indication simulation inversion method when the well control degree is greater than a set threshold;

[0099] The second prediction submodule is used to predict the reservoir position of the well-controlled block according to the waveform difference simulation inversion method when the well control degree is not greater than a set threshold.

[0100] In an optional embodiment, the acquisition submodule includes:

[0101] An acquisition unit, used to acquire oil and gas resource information of each well in the well control block;

[0102] A first obtaining unit, configured to measure the area of ​​the well control block to obtain the area of ​​the block;

[0103] A second obtaining unit, configured to obtain the permeability area of ​​each well according to the oil and gas resource information of each well and the corresponding single well control radius;

[0104] A third obtaining unit is used to perform a Boolean sum operation on all the permeable areas of the well control block to obtain the drilling control area of ​​the well control block;

[0105] A fourth obtaining unit is used to obtain the well control degree corresponding to the well control block according to the ratio of the drilling control area to the block area.

[0106] In an optional embodiment, the reservoir identification module includes:

[0107] A generating submodule, used for generating a first histogram or a first cross-plot according to the wave impedance data;

[0108] A second judgment submodule, used for judging whether the first histogram or the first cross-plot can identify the sandstone reservoir;

[0109] an identification submodule, configured to identify the sandstone reservoir according to the first histogram or the first cross-plot when the sandstone reservoir can be identified via the first histogram or the first cross-plot;

[0110] Generate an identification submodule, which is used to generate the second histogram or the second cross-plot according to the target data when the sandstone reservoir cannot be identified by the first histogram or the first cross-plot, and identify the sandstone reservoir according to the second histogram or the second cross-plot.

[0111] In an optional embodiment, the device further includes:

[0112] The elimination correction module is used to eliminate abnormal data in the wave impedance data and the target data, and perform baseline correction.

[0113] Based on the same technical concept as the inversion method, an embodiment of the present invention also provides an electronic device, including a processor and a memory, wherein the memory is coupled to the processor, and the memory stores instructions, which, when executed by the processor, enable the electronic device to perform any step of the inversion method.

[0114] Based on the same technical concept as the inversion method, an embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps of any one of the methods described in the inversion method are implemented.

[0115] The technical solution provided in the embodiments of the present invention has at least the following technical effects or advantages:

[0116] 1. A logging data set is obtained by surveying and measuring the drilled wells in the well-controlled area. According to the wave impedance data and target data of the logging data set, the sandstone reservoirs in the well-controlled area are identified respectively. Since the target data is the logging data that does not include the wave impedance data and can identify the sandstone reservoirs, when the wave impedance data cannot identify the sandstone reservoirs and the target data can identify the sandstone reservoirs, it means that the location of the sandstone reservoir cannot be predicted based on the wave impedance. Then the well-controlled area is divided into multiple well-controlled blocks that all contain drillings, and corresponding phase-controlled simulation inversion is performed on each well-controlled block. Since a more suitable phase-controlled inversion method is implemented in each well-controlled block, the reservoir location of each well-controlled block can be more accurately predicted. In reservoir development, this method can achieve more accurate identification, evaluation and research on the reservoir range in the well-controlled area through inversion, thereby improving the accuracy of reservoir prediction.

[0117] 2. By rationally processing the logging data of a single well, accurately drawing histograms or cross plots to analyze reservoir sensitivity, and establishing classification standards for well-controlled blocks, the reservoir location of each small block can be accurately determined to predict the reservoir location of each well-controlled block in advance, so as to avoid non-reservoir areas when deploying wells and improve the effect of oilfield development.

[0118] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0119] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (modules, systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0120] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0121] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0122] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0123] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for improving reservoir resolution based on phase-controlled inversion, characterized in that: The method comprises: Conducting survey and measurement on the drilled wells in the well control area to obtain a well logging data set, wherein the well control area is an area where oil and gas development is to be carried out; According to the wave impedance data and the target data of the well logging data set, the sandstone reservoir in the well controlled area is identified respectively, wherein the target data is the well logging data that does not include the wave impedance data and can identify the sandstone reservoir; When the wave impedance data cannot identify the sandstone reservoir, and the target data can identify the sandstone reservoir, dividing the well control area into a plurality of well control blocks, wherein each well control block includes at least one well; A corresponding phase control simulation inversion is performed on each well-controlled block to predict the reservoir position of each well-controlled block.

2. The method for improving reservoir resolution based on phase-controlled inversion according to claim 1, characterized in that: The well control area is an area containing a fault, and the well control area is divided into a plurality of well control blocks, including: The well-controlled area is segmented according to the fault to obtain the plurality of well-controlled blocks.

3. The method for improving reservoir resolution based on phase-controlled inversion according to claim 1, characterized in that: The well control area is an area that does not contain a fault, and the well control area is divided into a plurality of well control blocks, including: Determining block boundaries based on regional drilling and geological information for the well-controlled area; The well control area is divided according to the block boundaries to obtain the multiple well control blocks.

4. The method for improving reservoir resolution based on phase-controlled inversion according to claim 1, characterized in that: The performing of corresponding phase control simulation inversion on each well-controlled block comprises: Obtaining the well control degree of each well control block, wherein the well control degree is the ratio of the drilling control area of ​​the well control block to the area of ​​the corresponding block; Determining whether the well control degree is greater than a set threshold; If yes, predicting the reservoir position of the well-controlled block according to the waveform indication simulation inversion method; If not, the reservoir position of the well-controlled block is predicted according to the waveform difference simulation inversion method.

5. The method for improving reservoir resolution based on phase-controlled inversion according to claim 4, characterized in that: The obtaining of the well control degree of each well control block includes: Obtaining oil and gas resource information of each well in the well control block; Measuring the area of ​​the well control block to obtain the area of ​​the block; Obtaining the permeability area of ​​each well according to the oil and gas resource information of each well and the corresponding single well control radius; Performing a Boolean sum operation on all permeable areas of the well control block to obtain a drilling control area of ​​the well control block; The well control degree corresponding to the well control block is obtained according to the ratio of the drilling control area to the block area.

6. The method for improving reservoir resolution based on phase-controlled inversion according to claim 1, characterized in that: The identifying of the sandstone reservoir in the well control area according to the wave impedance data and the target data of the well logging data set includes: generating a first histogram or a first cross-plot according to the wave impedance data; Determining whether the first histogram or the first cross-plot can identify the sandstone reservoir; If yes, identifying the sandstone reservoir according to the first histogram or the first cross-plot; If not, the second histogram or the second cross-plot is generated according to the target data, and the sandstone reservoir is identified according to the second histogram or the second cross-plot.

7. The method for improving reservoir resolution based on phase-controlled inversion according to claim 1, characterized in that: Before identifying the sandstone reservoir in the well-controlled area according to the wave impedance data and the target data of the well logging data set, the method further includes: Abnormal data in the wave impedance data and the target data are eliminated, and baseline correction is performed.

8. A method for improving reservoir resolution based on phase-controlled inversion, characterized in that: The device comprises: A measurement acquisition module, used to conduct survey measurements on the drilled wells in the well control area to obtain a well logging data set, wherein the well control area is an area to be developed for oil and gas; A reservoir identification module, used to identify the sandstone reservoir in the well-controlled area according to the wave impedance data and the target data of the well logging data set, wherein the target data is the well logging data that does not include the wave impedance data and can identify the sandstone reservoir; A block division module, used for dividing the well control area into a plurality of well control blocks when the wave impedance data cannot identify the sandstone reservoir and the target data can identify the sandstone reservoir, wherein each well control block includes at least one well; The inversion prediction module is used to perform corresponding phase control simulation inversion on each well-controlled block to predict the reservoir position of each well-controlled block.

9. An electronic device, characterized in that: The electronic device comprises a processor and a memory, wherein the memory is coupled to the processor and stores instructions, and when the instructions are executed by the processor, the electronic device executes the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method described in any one of claims 1 to 7 are implemented.

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