River channel space identification method, device, equipment, medium and program product

Abstract

The invention discloses a river space recognition method, device and equipment, a medium and a program product. According to the logging information of each logging in the research area to be subjected to river channel identification, determining the position of the existing above-well river channel and the thickness value of each above-well river channel; according to the riverway thickness information and the riverway width information of a contrast area as a reference standard, determining a riverway width-to-thickness ratio range, the contrast area being determined according to geological conditions of the research area; determining the width range of a well drilling encountering river channel corresponding to each well river channel according to the river channel width-to-thickness ratio range; according to the thickness value and the width range, predicting the river channel drilling position of each well; according to the positions, determining spatial relation characteristics among the drilling encountering river channels of all the wells; and establishing a three-dimensional training image of the well drilling encountering river channel in the research area according to the spatial distribution characteristics. According to the scheme, the specific position in the well drilling encountering riverway and the relation between different riverways in the vertical direction of a single well can be predicted, and a reference basis is provided for prediction of spatial distribution characteristics of inter-well sand bodies in a research area.

Description

Technical Field

[0001] The present invention relates to the technical field of geological exploration, and particularly relates to a method, device, equipment, medium and program product for identifying river channel space. Background Art

[0002] The interior of a river channel is continuous vertically and horizontally. However, affected by the sedimentary environment, the lithology, physical properties, etc. in different directions and positions within a single-stage river channel show obvious differences, resulting in relatively strong heterogeneity characteristics within the river channel reservoir. Vertically, the sediment grain size in the river channel gradually deteriorates from the bottom to the top. Near the center of the river channel, the hydrodynamic conditions are stronger, and the sediment grain size that can be retained is coarser. The hydrodynamic conditions along the lateral edge direction of the river channel are generally smaller, and fine-grained sediments are easily deposited. Generally, the thickness of the river channel sand body gradually thins in the lateral pinch-out direction, the mud content gradually increases, and physical property parameters such as porosity and permeability gradually decrease. Therefore, during the exploration and development of oil and gas fields, it is becoming increasingly important to determine the position within the river channel where the oil and gas wells are drilled.

[0003] In existing geological research, geological experts often predict the position where the well drills into the river channel and the spatial distribution characteristics of the river channel based on features such as the general trend of the river channel, the width of the river channel, and the thickness of the river channel. However, they still cannot accurately describe the specific position within the river channel where the well drills, and the spatial distribution characteristics between river channels are also predicted based on the interpretation of the well-connected profile. The prediction of the distribution and characteristics of the sand body between wells by geological experts has subjectivity and uncertainty.

[0004] Aiming at the problem that it is difficult to determine the specific position within the river channel where the well drills in the existing research, a method is needed to accurately predict the distribution position of the well within the river channel and the spatial distribution characteristics between river channels, providing a reference basis for the related research on the distribution of river channels between wells. Summary of the Invention

[0005] The present invention provides a method, device, equipment, medium and program product for identifying river channel space to accurately predict the distribution position of the well within the river channel and the spatial distribution characteristics between river channels.

[0006] According to one aspect of the present invention, a method for identifying river channel space is provided, including:

[0007] Determining the position of the wellbore river channels existing in the research area to be identified for river channel identification and the thickness values of each of the wellbore river channels according to the logging data of each well log in the research area;

[0008] Determining the river channel width-to-thickness ratio range according to the river channel thickness information and river channel width information of the control area used as a reference standard, wherein the control area is determined according to the geological conditions of the research area; determining the width range of the river channels corresponding to the wellbore river channels drilled by each well according to the river channel width-to-thickness ratio range;

[0009] Predict the positions where each well encounters the river channel according to the thickness value and the width range; determine the spatial relationship characteristics between the river channels encountered by each well according to the positions;

[0010] Establish a three-dimensional training image of the river channels encountered by the wells in the study area according to the spatial distribution characteristics.

[0011] Optionally, the method for determining the positions of the river channels on the wells and the thickness values of each of the river channels on the wells according to the logging data of each logging well in the study area to be identified for river channel recognition includes:

[0012] Determine the positions of the river channels on the wells in the study area through the combination of the natural gamma ray, spontaneous potential, shale content, acoustic wave, and compensated neutron logging curves of each logging well and the core data of the study area;

[0013] Based on the positions of the river channels, determine the top and bottom depth positions of each river channel on the well, and determine the thickness value through the top and bottom depth positions.

[0014] Optionally, the river channel thickness information and river channel width information are obtained through the following methods:

[0015] Obtain the field outcrop profile image of the river channel in the control area, and identify the integrity of the river channel in the field outcrop profile image;

[0016] When the integrity of the river channel is greater than a preset threshold, determine the river channel thickness information and river channel width information of the control area according to the field outcrop profile image; when the integrity of the river channel is not greater than the preset threshold, estimate the river channel thickness information and river channel width information of the control area through modern sedimentary analogy or analogy of the scale of the complete river channel in the surrounding area.

[0017] Optionally, the method for predicting the positions where each well encounters the river channel according to the thickness value and the width range includes one or more of the following methods:

[0018] Determine the river channel segment in the seismic profile whose similarity to the river channel profile morphology is greater than a preset threshold, and take the position of this river channel segment as the predicted position where the well encounters the river channel;

[0019] Take the position of the reflection event axis in the seismic profile whose amplitude meets the preset conditions as the predicted position where the well encounters the river channel.

[0020] Optionally, determining the spatial relationship characteristics between the river channels encountered by each well according to the positions includes:

[0021] Determine the RT curve morphology of each logging well, and determine the connectivity between the river channels encountered by each well according to whether the RT curves all show the characteristics of river channel sand bodies in the same depth section and the similarity of the RT curve morphologies;

[0022] If the cores of more than two well logs show similar sedimentary rhythms, with finer grain sizes at the top, gradually coarser grain sizes from top to bottom, and channel lag deposits developed at the bottom with gravel present, then the corresponding well logs are in wells drilled through connected channels.

[0023] Based on well log curves, core observations, and seismic data, compare the development of channels drilled through by wells in different well logs in the target interval. If more than two well logs develop channels drilled through by wells in a certain interval and are in connected channels drilled through by wells, determine the spatial relationship of the channels drilled through by the corresponding well logs.

[0024] Optionally, the determination of the spatial relationship of the channels drilled through by the corresponding well logs includes:

[0025] Determine the left - right corresponding relationship between each well log and the channel drilled through by the well in the connected channels drilled through by wells according to the thickness of the in - well microfacies.

[0026] Determine the vertical corresponding relationship between each well log and the channel drilled through by the well according to the depth position of the channel drilled through by the well and core observations.

[0027] Optionally, the establishment of the three - dimensional training image of the channels drilled through by wells in the study area according to the spatial distribution characteristics includes:

[0028] Taking the spatial distribution characteristics and relationships as constraints, control the spatial distribution characteristics of a single - stage channel and the relationships between channels. Through a modeling software, combine the channel thickness information, channel width information, and sand body distribution information between wells to establish the three - dimensional training image.

[0029] According to another aspect of the present invention, there is provided a channel spatial recognition device, including:

[0030] A thickness value determination unit for determining the position of the in - well channels existing and the thickness values of each of the in - well channels according to the well log data of each well log in the study area to be identified for channels.

[0031] A width - thickness ratio determination unit for determining the range of the channel width - thickness ratio according to the channel thickness information and channel width information of a control area used as a reference standard, where the control area is determined according to the geological conditions of the study area; determine the range of the width of the channels drilled through by the corresponding wells for each of the in - well channels according to the range of the channel width - thickness ratio.

[0032] A spatial relationship determination unit for predicting the positions of the channels drilled through by each well according to the thickness value and the width range; determine the spatial relationship characteristics between each of the channels drilled through by the wells according to the positions.

[0033] A three - dimensional image establishment unit for establishing the three - dimensional training image of the in - well channels in the study area according to the spatial distribution characteristics.

[0034] According to another aspect of the present invention, there is provided an electronic device, which includes:

[0035] At least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores a computer program executable by the at least one processor, and when the computer program is executed by the at least one processor, the at least one processor is enabled to execute the river channel space recognition method according to any embodiment of the present invention.

[0036] According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the river channel space recognition method according to any embodiment of the present invention when executed.

[0037] According to another aspect of the present invention, there is provided a computer program product including a computer program which, when executed by a processor, implements the river channel space recognition method according to any embodiment of the present invention.

[0038] The present invention identifies the in-well river channel positions through a combination of multiple logging curves, predicts the positions where the well encounters the river channels and the spatial distribution relationship between the river channels, and then establishes a training image capable of characterizing such river channel patterns. It not only predicts the specific positions inside the river channels encountered by the well and the relationship between different river channels in the single well vertically, but also provides a reference basis for predicting the spatial distribution characteristics of the sand bodies between the wells in the study area.

[0039] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings without creative efforts based on these drawings.

[0041] Figure 1 is a flowchart of a river channel space recognition method provided in Embodiment 1 of the present invention;

[0042] Figure 2 is a schematic diagram of core photo data of a study area applicable to Embodiment 1 of the present invention;

[0043] Figure 3 is a schematic diagram of a logging curve applicable to Embodiment 1 of the present invention;

[0044] Figure 4 It is a schematic diagram of river channel width information based on similar modern sediment measurement applicable to the first embodiment of the present invention;

[0045] Figure 5 It is a schematic diagram of river channel width and thickness information based on field outcrop profile measurement applicable to the first embodiment of the present invention;

[0046] Figure 6 It is a schematic diagram of a river channel location encountered by a well drilled in the first embodiment of the present invention;

[0047] Figure 7 It is a schematic diagram of a seismic profile result of an underground reservoir in a study area applicable to the first embodiment of the present invention;

[0048] Figure 8a , Figure 8b and Figure 8c It is a schematic diagram of the spatial distribution relationship between single wells and river channels in a study area applicable to the first embodiment of the present invention;

[0049] Figure 9 is a schematic diagram of a three-dimensional training image result applicable to the first embodiment of the present invention;

[0050] Figure 10 It is a structural schematic diagram of a river channel space identification device provided by Embodiment 2 of the present invention;

[0051] Figure 11 It is a schematic diagram of the structure of an electronic device for implementing the river channel space identification method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0052] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below 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, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0053] It should be noted that the terms "first", "second", etc. in the description, claims and above-mentioned drawings of the present invention are used to distinguish similar objects, and do not necessarily describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0054] Embodiment 1

[0055] Figure 1 is a flowchart of a method for identifying river channel space provided in Embodiment 1 of the present invention. This embodiment is applicable to the situation of identifying the location of river channels in geological research. This method can be executed by a river channel space identification device, which can be implemented in the form of hardware and / or software, and the river channel space identification device can be configured in an electronic device. As Figure 1 shown, the method includes:

[0056] S110. Determine the positions of the wellbore river channels and the thickness values of each wellbore river channel based on the well logging data of each well in the study area to be identified for river channels.

[0057] In the embodiment of the present invention, S110 specifically includes:

[0058] Determine the positions of the wellbore river channels in the study area through the combination of natural gamma, spontaneous potential, shale content, acoustic wave and compensated neutron logging curves of each well and the core data of the study area;

[0059] Based on the positions of the river channels, determine the top and bottom depth positions of each wellbore river channel, and determine the thickness value through the top and bottom depth positions.

[0060] Obtain the core and well logging curve data, river channel facies division, river channel morphological characteristics and scale parameters of the study area; based on a combination of multiple well logging curves, combine core observations to verify the division of the positions and thicknesses of the wellbore river channels. Figure 2 is a schematic diagram of the core photo data of the study area applicable to Embodiment 1 of the present invention. As Figure 2 shown, it shows data such as lithology description, core sketch and core photo between the depth sections of 3798.53m - 3827m, about 29m. According to the core observation and description results, the lithology of this section of the core is mainly sandstone, with good sorting, showing distributary channel facies deposition. Figure 3 is a schematic diagram of a well logging curve applicable to Embodiment 1 of the present invention.Figure 3 As shown in the figure, taking wells A1 - A4 in the study area as an example, through the combination of well logging curves such as natural gamma, spontaneous potential, shale content, acoustic wave, and compensated neutron, and combining with the core data of the study area, the positions of the target layer channels in the study area are comprehensively identified and determined. Based on the determination of the top and bottom depth positions of the channels, the single - stage channel thickness parameters are obtained by subtracting the top depth of the channel from the bottom depth of the channel.

[0061] Specifically, a combination of multiple well logging curves such as natural gamma, spontaneous potential, shale content, acoustic wave, and compensated neutron is used to identify the channel positions. Different well logging curves have different responses to different lithologies and physical properties. The natural gamma curve can reflect the content of radioactive elements in the formation. The natural gamma value of shale is relatively high, and that of sandstone is relatively low. Therefore, sandstone and shale can be preliminarily distinguished through the natural gamma curve, and then the possible channel positions can be identified. The spontaneous potential curve can reflect the electrochemical properties of the formation, and an obvious potential difference will be generated between the channel sand body and the surrounding rock, which helps to determine the channel boundary. Core observation provides the actual geological basis for well logging curve analysis. Combining the results of well logging curve analysis with core observation can more accurately divide the channel positions and thicknesses in the well. By observing the core to determine that a certain section of the formation is deposited in a distributary channel facies and the lithology is mainly sandstone, and then combining with the characteristics of the well logging curves in this depth section, such as a relatively low natural gamma value and obvious anomalies in spontaneous potential, the channel position in this depth section can be determined. By measuring the top and bottom depths of the core and combining with the top and bottom depth positions of the channel determined by the well logging curves, the single - stage channel thickness parameters are obtained by subtracting the top depth of the channel from the bottom depth of the channel, improving the accuracy and reliability of the division.

[0062] S120. Determine the channel width - thickness ratio range according to the channel thickness information and channel width information of the control area used as a reference standard, where the control area is determined according to the geological conditions of the study area; determine the width range of the channels drilled by the corresponding wells of the channels on each well according to the channel width - thickness ratio range.

[0063] Among them, the control area is an area with a similar sedimentary background to the study area. Based on the channel thickness information and width information obtained from modern sedimentation and field outcrop profiles with a similar sedimentary background, the channel width - thickness ratio range is calculated; according to the channel thickness data obtained in the well, the analogy method is used to obtain the width range of the channels drilled in the study area in the well.

[0064] In the embodiments of the present invention, the channel thickness information and channel width information are obtained through the following methods:

[0065] Obtain the field outcrop profile image of the channel in the control area and identify the integrity of the channel in the field outcrop profile image;

[0066] When the river channel integrity is greater than a preset threshold, determine the river channel thickness information and river channel width information of the control area based on the field outcrop profile image; when the river channel integrity is not greater than the preset threshold, estimate the river channel thickness information and river channel width information of the control area by modern sediment analogy or analogy of the scale of the surrounding complete river channels.

[0067] Select modern sediments with a similar sedimentary background to the underground reservoir in the study area. Figure 4 It is a schematic diagram of the river channel width information based on similar modern sediment measurements applicable to Embodiment 1 of the present invention. As Figure 4 shown, measure the complete river channel width information through the 91 Satellite Map Assistant software. Figure 5 It is a schematic diagram of the river channel width and thickness information based on field outcrop profile measurements applicable to Embodiment 1 of the present invention. As Figure 5 shown, through the actual measurement of the field outcrop, obtain the width and thickness data of some complete river channels. For the river channels with incomplete outcrops, estimate the complete river channel width data by means of modern sediment analogy or analogy of the scale of the surrounding complete river channels.

[0068] S130. Predict the positions of the river channels drilled by each well according to the thickness value and width range; determine the spatial relationship characteristics between the river channels drilled by each well according to the positions.

[0069] In the embodiment of the present invention, predicting the positions of the river channels drilled by each well according to the thickness value and width range specifically includes:

[0070] Determine the river channel segment in the seismic profile whose similarity to the river channel profile morphology is greater than the preset threshold, and take the position of this river channel segment as the predicted position of the river channel drilled by the well;

[0071] Take the position of the reflection isochron in the seismic profile whose amplitude satisfies the preset condition as the predicted position of the river channel drilled by the well.

[0072] Based on the river channel thickness and river channel width range data, with the seismic profile results as a constraint, predict the possible distribution characteristics and positions of the river channels in space, so as to determine the specific positions of the river channels drilled by the wells. Based on the river channel width data obtained from the above modern sediments, and the width and thickness data obtained from the field outcrops, determine the river channel width-to-thickness ratio range in the study area. Table 1 below shows some measured width, thickness data and their calculated width-to-thickness ratio data. Based on the above modern sediments and field outcrops, the minimum river channel thickness is 1.2 m, the maximum is 15 m, the minimum river channel width is 28 m, the maximum is 297 m, and the width-to-thickness ratio range is about between 5 and 35. Generally, simply obtaining river channel thickness information based on well point interpretation and guiding the river channel width-to-thickness ratio range through modern sediments or field outcrops cannot completely determine the positions inside the river channels drilled by the wells and the spatial distribution characteristics of the river channels.

[0073]

[0074]

[0075] Table 1: Range of channel width-to-depth ratios obtained based on similar modern sedimentation and field outcrop measurements.

[0076] There are differences in the physical properties between the channel and the surrounding rocks, which will produce different reflection characteristics on the seismic profile. Generally speaking, the reflection waves of the channel sand body are different from those of the surrounding rock in terms of attributes such as amplitude, frequency, and phase. For example, the channel sand body may exhibit reflections with stronger amplitudes, while the reflections of surrounding rocks such as mudstone are relatively weaker. By identifying the changes in these reflection characteristics, the boundaries and extension directions of the channel can be inferred, and then its distribution characteristics can be determined. If a set of continuous, relatively strong-amplitude reflection isochrones with a certain geometric shape is observed on the seismic profile, it may indicate the presence of a channel.

[0077] The results of geological research show that the cross-sectional shape of the channel is convex at the bottom and flat at the top, and the position of the channel center line is also different according to the different cross-sectional positions. For example, in the cross-section of a relatively straight channel segment, the channel center line is in the center of the channel, and the channel boundaries on both sides are relatively symmetrical. At this time, the hydrodynamic conditions at the predicted positions of each channel are stable according to the thickness value and width range inside the channel, and the scouring effects on both sides of the channel are relatively equal. However, for the cross-section of a channel segment with a larger curvature, due to the movement, scouring, and erosion of the water flow towards the concave bank, the position of the channel center line will undergo lateral migration. At the same time, the cross-sectional shape of the channel no longer shows symmetry, and generally, the channel thickness at the concave bank is slightly larger. In the same channel cross-section, the depths at different vertical positions may be the same or different.

[0078] Figure 6 It is a schematic diagram of the position where a well encounters a channel applicable to the first embodiment of the present invention. As Figure 6 shown, when the channel thickness is known based on the characteristics of the well logging curve on the well, the channel width is calculated based on the width-to-depth ratio data comprehensively obtained from the above-mentioned modern sedimentation and field outcrop data. In this case, only the channel scale data can be obtained, but the distribution position and characteristics of the channel in space cannot be determined. Taking Figure 6 the channel as an example, after determining the channel thickness and width, the lateral position where the well encounters the channel can be determined, but it cannot be determined whether the main channel is on the left or right side of the well. Therefore, in this patent, the channel position is determined by jointly constraining the well logging curves of surrounding wells and the results of seismic profiles.

[0079] Figure 7It is a schematic diagram of the seismic profile results of the underground reservoir in the study area applicable to Embodiment 1 of the present invention. Seismic data can assist in determining the spatial distribution characteristics of channel sand bodies in the horizontal direction. The uncertainty of seismic data lies in the accuracy of time-depth conversion and the subjective judgment of seismic experts' interpretations. However, the seismic data volume or the results of seismic interpretation profiles can, to a certain extent, assist well logging data in constraining the spatial distribution characteristics of channels between wells.

[0080] In the embodiment of the present invention, according to the position, the spatial relationship characteristics between the channels drilled by each well are determined, including:

[0081] Determine the RT curve shapes of each well logging. According to whether the RT curves all show the characteristics of channel sand bodies in the same depth section and the similarity of the shapes of each RT curve, determine the connectivity relationship between the channels drilled by each well.

[0082] If the cores of more than two well loggings show similar sedimentary rhythms, with finer grain sizes at the top, gradually coarser grain sizes from top to bottom, and channel lag deposits developed at the bottom with gravel, then the well loggings corresponding to the wells drilled through the connected channels are in this situation.

[0083] Compare the development of the channels drilled by different well loggings in the target interval according to well logging curves, core observations, and seismic data. If more than two well loggings develop channels drilled by wells in a certain interval and the wells drilled through the connected channels, determine the spatial relationship of the channels drilled by the wells corresponding to the well loggings.

[0084] In the embodiment of the present invention, determining the spatial relationship of the channels drilled by the well corresponding to the well logging includes:

[0085] According to the thickness of the microfacies on the well, determine the left-right corresponding relationship between each well logging and the channel drilled by this well in the connected channels drilled by wells.

[0086] According to the depth position of the channel drilled by the well and core observations, determine the vertical corresponding relationship between each well logging and the channel drilled by this well.

[0087] Based on the above characterization of the spatial distribution characteristics of multiple channels in the vertical direction of a single well, obtain the spatial relationship characteristics between channels.

[0088] Figure 8 is a schematic diagram of the spatial distribution relationship between single-well channels in the study area applicable to Embodiment 1 of the present invention. As shown in Figure 8, the spatial distribution characteristics of channel sand bodies are determined jointly by a single well or multiple wells. Figure 8 provides well logging curve data for some intervals of 7 wells in the study area. The RT curves in this study area are sensitive to channel sand bodies and are easy to assist in identifying the position and thickness of channels on the well. Among them, such as Figure 8aAs shown, the RT curves of Well A1, Well A2, and Well A6 reflect that there are two stages of channel sand bodies developed in the target layer of the study area. There is a certain distance between the upper and lower channels of Well A1 and Well A6, and the inter-channel is filled with muddy sediment. The RT curve of Well A2 reflects that the two stages of channel sand bodies developed in the target layer of the study area are connected, and there is no muddy sediment in the middle. Therefore, it can be determined that Well A2 is in the middle of the channel, and Well A1 and Well A6 are at the edge of the channel.

[0089] As Figure 8b shown, Well A4 and Well A3 show that only one stage of channel is developed in the target layer section of the study area. There are differences in the development depths of the channels of the above two wells, and it can be judged that the channels of Well A4 and Well A3 are not directly connected. The position of Well A5 is between the above two wells. The RT curve shows that the well develops two stages of superimposed channels in the target layer section, and there is no muddy sediment between the channels. The core also reflects that two stages of complete positive rhythms are developed in this layer section. The grain size of the top channel is finer, and the grain size gradually becomes coarser from top to bottom. Channel lag deposits are developed at the bottom, and gravel can be seen. Therefore, it can be determined that Well A4 and Well A5 develop the same stage of connected channels. According to the thickness of the microfacies on the well, it can be determined that Well A4 is at the left edge of the channel, and Well A5 is at the right edge of the channel. Similarly, Well A5 and Well A3 develop the same stage of connected channels. According to the depth position of the channel on the well and core observation, the channel connecting Well A4 is distributed in the upper part of the reservoir, and the channel connecting Well A3 is distributed in the lower part of the reservoir.

[0090] As Figure 8c shown, Well A7 develops two stages of channels in the target layer section of the study area. According to the characteristics of the RT curve on the well combined with core observation, the vertical position of the two stages of channels is determined. The two stages of channels drilled by this well are not connected vertically. Exemplarily, the logging curves of Well A7 are compared with the logging curves of the target layer section of adjacent wells in the surrounding area, and combined with seismic data verification, it is determined that the two stages of channel sand bodies are not connected to the channels of other wells.

[0091] S140. Establish a three-dimensional training image of the channels drilled by the wells in the study area according to the spatial distribution characteristics.

[0092] In the embodiment of the present invention, S140 specifically includes:

[0093] Taking the spatial distribution characteristics and relationships as constraints, controlling the spatial distribution characteristics of single-stage channels and the relationships between channels, and establishing a three-dimensional training image through a modeling software in combination with channel thickness information, channel width information, and inter-well sand body distribution information.

[0094] Taking the above spatial distribution characteristics and relationships as constraints, controlling the spatial distribution characteristics of single-stage channels and the relationships between channels, and then establishing a three-dimensional training image. Figure 9 It is a schematic diagram of the result of a three-dimensional training image applicable to Embodiment 1 of the present invention. As Figure 9As shown, based on core and logging data, the thickness of the river channel sand body at the well points is obtained. The width-to-thickness ratio data is obtained through similar modern sedimentation and field outcrop data. The distribution of the sand body between wells is constrained by seismic data volume. After determining the position inside the river channel and the spatial position characteristics of the river channel drilled by the well, based on the information and data provided in the above steps, a three-dimensional training image of the target interval in the study area is comprehensively established. The training image contains information such as the scale of the river channel, the spatial distribution relationship between river channels, and the superimposed relationship between river channels.

[0095] Embodiment 2

[0096] Figure 10 is a schematic structural diagram of a river channel spatial recognition device provided in Embodiment 2 of the present invention. As Figure 10 shown, the device includes:

[0097] A thickness value determination unit 1010, configured to determine the position of the river channel on the well and the thickness value of each river channel on the well according to the logging data of each logging well in the study area to be identified for the river channel;

[0098] A width-to-thickness ratio determination unit 1020, which determines the river channel width-to-thickness ratio range according to the river channel thickness information and river channel width information of the control area as a reference standard, wherein the control area is determined according to the geological conditions of the study area; determines the width range of the river channel drilled by the well corresponding to each river channel on the well according to the river channel width-to-thickness ratio range;

[0099] A spatial relationship determination unit 1030, configured to predict the position of the river channel drilled by each well according to the thickness value and the width range; determine the spatial relationship characteristics between the river channels drilled by each well according to the position;

[0100] A three-dimensional image establishment unit 1040, configured to establish a three-dimensional training image of the river channel drilled by the well in the study area according to the spatial distribution characteristics.

[0101] Optionally, the thickness value determination unit 1010 is specifically configured to execute:

[0102] Determine the position of the river channel on the well in the study area through the combination of natural gamma, spontaneous potential, shale content, acoustic wave, and compensated neutron logging curves of each logging well and the core data of the study area;

[0103] Based on the river channel position, determine the top and bottom depth positions of each river channel on the well, and determine the thickness value through the top and bottom depth positions.

[0104] Optionally, the width-to-thickness ratio determination unit 1020 is configured to obtain the river channel thickness information and river channel width information in the following manner:

[0105] Obtain the field outcrop profile image of the river channel in the control area, and identify the integrity of the river channel in the field outcrop profile image;

[0106] When the river channel integrity is greater than a preset threshold, determine the river channel thickness information and river channel width information of the control area based on the field outcrop profile image; when the river channel integrity is not greater than the preset threshold, estimate the river channel thickness information and river channel width information of the control area by modern sediment analogy or analogy of the scale of the complete river channel in the surrounding area.

[0107] Optionally, the spatial relationship determination unit 1030 is configured to predict the positions where each well encounters the river channel according to the thickness value and the width range by executing one or more of the following methods:

[0108] Determine the river channel segment in the seismic profile whose similarity to the river channel profile shape is greater than the preset threshold, and use the position of this river channel segment as the predicted position where the well encounters the river channel;

[0109] Use the position of the reflection isochron axis in the seismic profile whose amplitude satisfies the preset condition as the predicted position where the well encounters the river channel.

[0110] Optionally, when the spatial relationship determination unit 1030 executes to determine the spatial relationship characteristics between the river channels encountered by each well according to the position, it specifically executes:

[0111] Determine the RT curve shapes of each well log, and determine the connectivity relationship between the river channels encountered by each well according to whether the RT curves all show river channel sand body characteristics in the same depth segment and the similarity of the RT curve shapes;

[0112] If the cores of more than two well logs show similar sedimentary rhythms, with finer grain sizes at the top, gradually coarser grain sizes from top to bottom, river channel lag deposits developed at the bottom and gravel present, the corresponding well logs are in connected river channels encountered by the well;

[0113] Compare the development of the river channels encountered by different well logs in the target interval according to well log curves, core observations and seismic data. If more than two well logs develop river channels encountered by the well in a certain interval and are in connected river channels encountered by the well, determine the spatial relationship of the river channels encountered by the well where the corresponding well logs are located.

[0114] Optionally, when the spatial relationship determination unit 1030 executes to determine the spatial relationship of the river channel encountered by the well where the corresponding well log is located, it specifically executes:

[0115] Determine the left-right correspondence between each well log and the river channel encountered by the well in the connected river channels encountered by the well according to the microfacies thickness on the well;

[0116] Determine the vertical correspondence between each well log and the river channel encountered by the well according to the depth position of the river channel encountered by the well and core observations.

[0117] Optionally, the three-dimensional image building unit 1040 is specifically configured to execute:

[0118] Constrained by the spatial distribution characteristics and relationships, the spatial distribution characteristics of a single-stage river channel and the relationships between river channels are controlled. By using modeling software and combining river channel thickness information, river channel width information, and inter-well sand body distribution information, a three-dimensional training image is established.

[0119] The river channel space recognition device provided by the embodiments of the present invention can execute the river channel space recognition method provided by any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method.

[0120] Embodiment III

[0121] Figure 11 The structural schematic diagram of an electronic device 10 that can be used to implement the embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0122] As Figure 11 shown, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc. Among them, the memory stores a computer program executable by the at least one processor. The processor 11 can execute various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. The input / output (I / O) interface 15 is also connected to the bus 14.

[0123] A plurality of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0124] The processor 11 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the river channel space recognition method.

[0125] In some embodiments, the river channel space recognition method can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the river channel space recognition method described above can be executed. Alternatively, in other embodiments, the processor 11 can be configured to execute the river channel space recognition method by any other suitable means (e.g., by means of firmware).

[0126] Various embodiments of the systems and techniques described above in this document can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGA), application-specific integrated circuits (ASIC), application-specific standard products (ASSP), systems-on-chip (SOC), complex programmable logic devices (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: implemented in one or more computer programs, the one or more computer programs can be executed and / or interpreted on a programmable system including at least one programmable processor, the programmable processor can be a special or general-purpose programmable processor, can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0127] The computer program for implementing the method of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to the processor of a general-purpose computer, a special-purpose computer, or other programmable data processing devices, such that when the computer program is executed by the processor, the functions / operations specified in the flowchart and / or block diagram are implemented. The computer program can be executed entirely on the machine, partially on the machine, as a stand-alone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0128] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0129] To provide for interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can also be used to provide for interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0130] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0131] A computing system may include a client and a server. The client and the server are generally far from each other and usually interact via a communication network. The client-server relationship is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, and solves the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0132] It should be understood that various forms of processes shown above can be used, steps can be reordered, added or deleted. For example, the steps described in the present invention can be executed in parallel, sequentially or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is made herein.

[0133] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A river channel space identification method, characterized in that: include: Determine the location of existing on-well river channels and the thickness of each on-well river channel according to the well logging data of each well in the study area where the river channel identification is to be performed; Determine the range of the width-to-thickness ratio of the river channel according to the river channel thickness information and the river channel width information of the reference area as a reference standard, wherein the reference area is determined according to the geological conditions of the study area; determine the width range of the river channel encountered by the corresponding well on each of the wells according to the range of the width-to-thickness ratio of the river channel; Predicting the location of the river channel encountered by each well according to the thickness value and the width range; determining the spatial relationship characteristics between the river channels encountered by each well according to the location; A three-dimensional training image of the river channel encountered by the wells drilled in the study area is established according to the spatial distribution characteristics.

2. The method according to claim 1, characterized in that The method of determining the location of the existing on-well river channels and the thickness of each on-well river channel according to the well logging data of each well in the study area to be identified includes: Determine the location of the river channel on the well in the study area by combining the natural gamma, natural potential, shale content, sonic and compensated neutron logging curves of each well logging and the core data of the study area; The top and bottom depth positions of the river channels on each well are determined based on the river channel positions, and the thickness value is determined by the top and bottom depth positions.

3. The method according to claim 1, characterized in that: The river channel thickness information and river channel width information are obtained in the following manner: Acquire a field outcrop profile image of the river channel in the reference area, and identify the integrity of the river channel in the field outcrop profile image; When the channel integrity is greater than a preset threshold, the channel thickness information and channel width information of the control area are determined based on the field outcrop profile image; when the channel integrity is not greater than the preset threshold, the channel thickness information and channel width information of the control area are estimated by modern sedimentary analogy or Zhouyuan complete channel scale analogy.

4. The method according to claim 1, characterized in that: The predicting of the location of the river channel encountered by each well according to the thickness value and the width range includes one or more of the following methods: Determine in the seismic profile a river channel section whose morphological similarity to the river channel section is greater than a preset threshold, and use the position of the river channel section as the predicted position of the river channel encountered by the well; The position of the reflection event axis whose amplitude meets the preset conditions in the seismic section is used as the predicted position of the river channel encountered by the well.

5. The method according to claim 1, characterized in that The determining of the spatial relationship characteristics between the river channels encountered by the wells according to the positions includes: Determine the RT curve shape of each well logging, and determine the connectivity between the channels encountered by each well according to whether the RT curves show the characteristics of the channel sand body in the same depth section and the similarity of the RT curve shapes; If the cores of more than two wells show similar sedimentary rhythms and the grain size is finer at the top and gradually becomes coarser from top to bottom, and channel retention deposits and gravels are developed at the bottom, then the corresponding wells in the connected wells have encountered the channel; The development of river channels encountered by different logging wells in the target layer section is compared based on logging curves, core observations and seismic data. If more than two logging wells have river channels encountered in a certain layer section and the wells are connected to each other, the spatial relationship between the river channels encountered by the corresponding logging wells is determined.

6. The method according to claim 5, characterized in that Determining the spatial relationship of the river channel encountered by the well corresponding to the well logging includes: According to the microfacies thickness on the well, the left-right correspondence between each well logging and the river channel encountered by the well in the connected well is determined; According to the depth position of the river channel encountered by the well and the core observation, the vertical correspondence between each well logging and the river channel encountered by the well is obtained.

7. The method according to claim 1, characterized in that The step of establishing a three-dimensional training image of a river channel encountered by a well in the study area according to the spatial distribution characteristics comprises: The spatial distribution characteristics and relationships are used as constraints to control the spatial distribution characteristics of a single-period channel and the relationships between channels, and the three-dimensional training image is established by combining channel thickness information, channel width information and inter-well sand body distribution information through modeling software.

8. A river channel space identification device, characterized in that: include: A thickness value determination unit, used to determine the location of the existing on-well river channels and the thickness value of each of the on-well river channels according to the logging data of each well in the study area where the river channel identification is to be performed; A width-to-thickness ratio determination unit is configured to determine a range of the width-to-thickness ratio of a river channel according to the river channel thickness information and the river channel width information of a reference area as a reference standard, wherein the reference area is determined according to the geological conditions of the study area; and to determine a width range of a river channel encountered by a corresponding well of each of the above-well river channels according to the range of the river channel width-to-thickness ratio; A spatial relationship determination unit, used for predicting the location of each well encountering a river channel according to the thickness value and the width range; and determining the spatial relationship characteristics between the river channels encountered by each well according to the location; A three-dimensional image establishing unit is used to establish a three-dimensional training image of the river channel encountered by the wells drilled in the study area according to the spatial distribution characteristics.

9. An electronic device, characterized in that: The electronic device comprises: At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the river channel space identification method described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the river channel space identification method described in any one of claims 1 to 7 when executed.

11. A computer program product, characterized in that The computer program product comprises a computer program, which, when executed by a processor, implements the river channel space identification method according to any one of claims 1 to 7.

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