A river channel space identification method, device, equipment, medium and program product

Abstract

The application discloses a river channel space recognition method, device, equipment, medium and program product. The position of the well channel and the thickness value of each well channel are determined according to the well logging data of each well logging of a research area to be subjected to river channel recognition; the river channel width-thickness ratio range is determined according to the river channel thickness information and the river channel width information of a control area serving as a reference standard, wherein the control area is determined according to the geological conditions of the research area; the width range of the well channel drilled by each well channel is determined according to the river channel width-thickness ratio range; the position of the well channel drilled by each well is predicted according to the thickness value and the width range; the spatial relationship characteristics between the well channels drilled by each well are determined according to the position; and the three-dimensional training image of the well channel drilled by each well in the research area is established according to the spatial distribution characteristics. The scheme of the application can predict the specific position of the well channel drilled by each well and the relationship between different river channels in the vertical direction of a single well, and also provides a reference basis for predicting the spatial distribution characteristics of the sand bodies between the wells in the research area.

Description

Technical Field

[0001] This invention relates to the field of geological exploration technology, and in particular to a method, apparatus, equipment, medium, and program product for river channel spatial identification. Background Technology

[0002] While the channel exhibits vertical and horizontal continuity, the lithology and physical properties within a single channel vary significantly across different directions and locations due to sedimentary environment, resulting in a generally strong heterogeneous character within the channel reservoir. Vertically, sediment grain size gradually deteriorates from bottom to top within the channel. Near the channel center, hydrodynamic conditions are stronger, retaining coarser sediment grains. Hydrodynamic conditions are generally weaker along the lateral margins, facilitating the deposition of fine-grained sediments. Channel sand bodies typically thin out towards the lateral pinch-out direction, with increasing clay content and decreasing porosity, permeability, and other physical properties. Therefore, determining the location of wells encountering the channel interior is increasingly crucial during oil and gas field exploration and development.

[0003] In existing geological studies, geologists often predict the location of wells encountering rivers and their spatial distribution characteristics by using features such as the general direction, width, and thickness of the river channels. However, they still cannot accurately describe the specific location inside the river channel encountered by the well. The spatial distribution characteristics between rivers are also based on the interpretation and prediction of the well profile. Geologists' predictions of the distribution and characteristics of sand bodies between wells are subjective and uncertain.

[0004] To address the difficulty in determining the specific location of wells encountering river channels in existing research, a method is needed to accurately predict the distribution location of wells within river channels and the spatial distribution characteristics between river channels, providing a reference for related research on the distribution of river channels between wells. Summary of the Invention

[0005] This invention provides a method, apparatus, equipment, medium, and program product for river channel spatial identification, in order to accurately predict the distribution location of wells within river channels and the spatial distribution characteristics between river channels.

[0006] According to one aspect of the present invention, a method for spatial identification of river channels is provided, comprising:

[0007] The location of existing surface channels and the thickness value of each surface channel are determined based on the logging data of each well in the study area to be identified.

[0008] The channel width-to-thickness ratio range is determined based on the channel thickness and width information of the control area, which serves as a reference standard. The control area is determined according to the geological conditions of the study area. The width range of the well-drilled channel corresponding to each well channel is determined based on the channel width-to-thickness ratio range.

[0009] Predict the location of each well encountering a river based on the thickness value and the width range; determine the spatial relationship characteristics between the wells encountering the river based on the location;

[0010] Based on the spatial distribution characteristics, a three-dimensional training image of the river encountered by well drilling in the study area is established.

[0011] Optionally, determining the location of existing surface channels and the thickness value of each surface channel based on the logging data of each well in the study area to be identified includes:

[0012] The location of the surface channel in the study area was determined by combining the natural gamma, spontaneous potential, clay content, acoustic and compensated neutron logging curves of each well, as well as the core data of the study area.

[0013] The top and bottom depths of each well channel are determined based on the channel location, and the thickness value is determined by the top and bottom depths.

[0014] Optionally, the channel thickness information and channel width information are obtained in the following manner:

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

[0016] When the channel integrity is greater than a preset threshold, the channel thickness and 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 and width information of the control area are estimated by modern sedimentary analogy or by analogy of the scale of complete channels around the source.

[0017] Optionally, predicting the location of each well encountering a river based on the thickness value and the width range includes one or more of the following methods:

[0018] In the seismic profile, a river segment with a similarity to the river profile shape greater than a preset threshold is identified, and the location of the river segment is used as the predicted location of the well drilling encountering the river.

[0019] The position of the reflection phase axis in the seismic profile that meets the preset conditions is used as the predicted position of the well drilling encountering the river channel.

[0020] Optionally, determining the spatial relationship characteristics between the wells encountering rivers based on the locations includes:

[0021] The RT curve morphology of each well logging is determined, and the connectivity between the wells encountered in the river is determined based on whether the RT curves all show river sand body characteristics in the same depth segment and the similarity of the RT curve morphology.

[0022] If the core samples from two or more wells show similar sedimentary rhythms with finer grains at the top, gradually coarser from top to bottom, and channel stagnant deposits with gravel at the bottom, then the corresponding wells are in a connected channel encountered by the well.

[0023] Based on the comparison of well logging curves, core observations and seismic data, the development of well-drilled channels in the target layer is determined. If two or more wells have well-drilled channels in a certain layer and are in connected well-drilled channels, the spatial relationship of the well-drilled channels in the corresponding wells is determined.

[0024] Optionally, determining the spatial relationship between the well and the river channel encountered in the corresponding logging includes:

[0025] The left-right correspondence between each logging and the river encountered by the well in a connected well is determined based on the thickness of the microfacies on the well surface.

[0026] Based on the depth and location of the river encountered during drilling and the vertical correspondence between each logging and the river encountered during drilling, core samples were observed.

[0027] Optionally, the step of establishing a three-dimensional training image of well drilling encounters with rivers in the study area based on the spatial distribution characteristics includes:

[0028] Based on spatial distribution characteristics and relationships as constraints, the spatial distribution characteristics of a single-period river channel and the relationships between channels are controlled. The three-dimensional training image is established by combining channel thickness information, channel width information and inter-well sand body distribution information with modeling software.

[0029] According to another aspect of the present invention, a river channel spatial identification device is provided, comprising:

[0030] The thickness value determination unit is used to determine the location of existing surface channels and the thickness value of each surface channel based on the logging data of each well in the study area to be identified.

[0031] The width-to-thickness ratio determination unit is used to determine the width-to-thickness ratio range of the channel based on the channel thickness information and 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 study area; and the width range of the well-drilled channel corresponding to each of the above-ground channels is determined according to the width-to-thickness ratio range.

[0032] A spatial relationship determination unit is used to predict the location of each well drilling encountering a river based on the thickness value and the width range; and to determine the spatial relationship characteristics between the river encounters of each well drilling based on the location.

[0033] A three-dimensional image building unit is used to build a three-dimensional training image of the well channel in the study area based on the spatial distribution characteristics.

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

[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, the computer program being executed by the at least one processor to enable the at least one processor to perform the river spatial identification method according to any embodiment of the present invention.

[0036] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the river spatial identification method according to any embodiment of the present invention.

[0037] According to another aspect of the present invention, a computer program product is provided, the computer program product comprising a computer program, which, when executed by a processor, describes the river channel spatial identification method according to any embodiment of the present invention.

[0038] This invention identifies the location of channels on the wellbore by combining multiple logging curves, predicts the location of channels encountered by the well drill and the spatial distribution relationship between channels, and then establishes training images that can characterize this type of channel pattern. It not only predicts the specific location of the channel encountered by the well drill and the relationship between different channels in the vertical direction of a single well, but also provides a reference for predicting the spatial distribution characteristics between sand bodies in the study area.

[0039] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 This is a flowchart of a river channel spatial identification method provided in Embodiment 1 of the present invention;

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

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

[0044] Figure 4 This is a schematic diagram of a channel width information based on similar modern sedimentary measurements applicable to Embodiment 1 of the present invention;

[0045] Figure 5 This is a schematic diagram of the channel width and thickness information based on field outcrop profile measurements applicable to Embodiment 1 of the present invention;

[0046] Figure 6 This is a schematic diagram of a well drilling location encountering a river channel, applicable to Embodiment 1 of the present invention;

[0047] Figure 7 This is a schematic diagram of the seismic profile results of a subsurface reservoir in a study area applicable to Embodiment 1 of the present invention;

[0048] Figure 8a , Figure 8b and Figure 8c This is a schematic diagram of the spatial distribution relationship between single well channels in a research area applicable to Embodiment 1 of the present invention;

[0049] Figure 9 This is a schematic diagram of a three-dimensional training image result applicable to Embodiment 1 of the present invention;

[0050] Figure 10 This is a schematic diagram of the structure of a river channel spatial identification device provided in Embodiment 2 of the present invention;

[0051] Figure 11 This is a schematic diagram of the structure of an electronic device that implements the river channel spatial identification method of this invention. Detailed Implementation

[0052] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0053] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0054] Example 1

[0055] Figure 1 This is a flowchart of a river channel spatial identification method provided in Embodiment 1 of the present invention. This embodiment is applicable to the identification of river channel locations in geological studies. The method can be executed by a river channel spatial identification device, which can be implemented in hardware and / or software and can be configured in an electronic device. Figure 1 As shown, the method includes:

[0056] S110. Based on the logging data of each well in the study area to be identified, determine the location of the existing surface channels and the thickness of each surface channel.

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

[0058] The location of the surface channel in the study area was determined by combining the natural gamma, spontaneous potential, clay content, sonic and compensated neutron logging curves of each well and the core data of the study area.

[0059] The top and bottom depths of each well channel are determined based on the channel location, and the thickness value is determined by the top and bottom depths.

[0060] Obtain core and well logging data, channel facies classification, channel morphology characteristics and scale parameters of the study area; based on multiple combinations of well logging curves, combined with core observation, verify the location and thickness of the surface channels. Figure 2 This is a schematic diagram of core photograph data of a research area applicable to Embodiment 1 of the present invention, as shown below. Figure 2 As shown, this section displays lithological descriptions, core sketches, and core photographs for approximately 29 meters between depths of 3798.53m and 3827m. Based on the core observations and descriptions, the lithology of this section is primarily sandstone, with good sorting, indicating distributary channel facies deposition. Figure 3 This is a schematic diagram of a logging curve applicable to Embodiment 1 of the present invention, as shown below. Figure 3 As shown, taking wells A1-A4 in the study area as an example, the location of the target layer channel in the study area is comprehensively identified and determined by combining logging curves such as natural gamma, spontaneous potential, mud content, sonic logging and compensated neutron logging, and core data of the study area. Based on the determination of the top and bottom depth of the channel, the single-stage channel thickness parameter is obtained by subtracting the top depth of the channel from the bottom depth.

[0061] Specifically, a combination of various logging curves, including natural gamma ray, spontaneous potential, mud content, sonic logging, and compensated neutron logging, is used to identify channel locations. Different logging curves respond differently to different lithologies and physical properties. The natural gamma ray curve reflects the content of radioactive elements in the formation; mudstone has a higher natural gamma ray value, while sandstone has a relatively lower natural gamma ray value. Therefore, the natural gamma ray curve can be used to initially distinguish sandstone and mudstone, thus identifying possible channel locations. The spontaneous potential curve reflects the electrochemical properties of the formation, generating a significant potential difference between the channel sand body and the surrounding rock, which helps to determine the channel boundary. Core observation provides practical geological evidence for logging curve analysis. Combining logging curve analysis results with core observation allows for more accurate determination of the location and thickness of channels above ground. If core observation determines that a certain stratum is a distributary channel facies deposit, and the lithology is mainly sandstone, then combining this with the characteristics of the logging curves at that depth, such as a low natural gamma ray value and a significant anomaly in spontaneous potential, the depth can be determined as a channel location. By measuring the top and bottom depths of the core sample and combining this with the well logging curves to determine the top and bottom depths of the channel, the single-stage channel thickness parameters are obtained by subtracting the top depth from the bottom depth, thus improving the accuracy and reliability of the channel delineation.

[0062] S120. Determine the range of the channel width-to-thickness ratio based on the channel thickness and width information of the control area, which serves as a reference standard. The control area is determined based on the geological conditions of the study area. The width range of the channel encountered in each well is determined based on the channel width-to-thickness ratio range.

[0063] The control area is a region with a similar sedimentary background to the study area. Based on the channel thickness and width information obtained from modern sediments with similar sedimentary backgrounds and field outcrop profile measurements, the channel width-to-thickness ratio range is calculated. Based on the channel thickness data obtained from well drilling, the channel width range encountered in the study area is obtained by analogy.

[0064] In this embodiment of the invention, the river channel thickness information and river channel width information are obtained in the following manner:

[0065] Obtain field outcrop profile images of the river channels in the control area and identify the integrity of the river channels in the field outcrop profile images;

[0066] When the channel integrity is greater than a preset threshold, the channel thickness and width information of the control area are determined based on the field outcrop profile images; when the channel integrity is not greater than the preset threshold, the channel thickness and width information of the control area are estimated by modern sedimentary analogy or by analogy with the scale of complete channels around the source.

[0067] Modern sediments with similar sedimentary backgrounds to the underground reservoirs in the study area were selected. Figure 4 This is a schematic diagram of a channel width information based on similar modern sedimentary measurements applicable to Embodiment 1 of the present invention, as shown below. Figure 4 As shown, the complete width information of the river channel was measured using the 91 Satellite Map Assistant software. Figure 5 This is a schematic diagram of a channel width and thickness information based on field outcrop profile measurements applicable to Embodiment 1 of the present invention, as shown below. Figure 5 As shown, by measuring the outcrops in the field, the width and thickness data of some complete channels were obtained. For incomplete outcrops, the complete width data of the channel was estimated by analogy with modern sedimentary sediments or by analogy with the scale of complete channels around the source.

[0068] S130. Predict the location of each well encountering a river based on the thickness value and width range; determine the spatial relationship characteristics between the wells encountering rivers based on the location.

[0069] In this embodiment of the invention, predicting the location of each well encountering a river channel based on its thickness and width range specifically includes:

[0070] In the seismic profile, identify river segments whose morphology is more similar to that of the river channel profile than a preset threshold, and use the location of the river segment as the predicted location of the well drilling encountering the river.

[0071] The location of the reflection phase axis in the seismic profile that meets the preset conditions is used as the predicted location of the well drilling encountering the river channel.

[0072] Based on data on channel thickness and width, and constrained by seismic profile results, the possible spatial distribution characteristics and location of the channel are predicted, thereby determining the specific location of the channel encountered by the well drilling. Based on the channel width data obtained from modern sediments and the width and thickness data obtained from field outcrops, the channel width-to-thickness ratio range in the study area is determined. Table 1 below shows some measured width and thickness data and their calculated width-to-thickness ratio data. Based on the aforementioned modern sediments and field outcrops, the minimum channel thickness is 1.2m and the maximum is 15m, the minimum channel width is 28m and the maximum is 297m, and the width-to-thickness ratio ranges from approximately 5 to 35. Typically, simply obtaining channel thickness information based on well point interpretation and using modern sediments or field outcrops to guide the channel width-to-thickness ratio range cannot completely determine the internal location and spatial distribution characteristics of the channel encountered by the well drilling.

[0073]

[0074]

[0075] Table 1: Channel width-to-thickness ratio range obtained based on similar modern sediments and field outcrop measurements.

[0076] The physical properties of a river channel differ from those of the surrounding rocks, resulting in different reflection characteristics on seismic profiles. Generally, the reflected waves from channel sand bodies differ from those from those from the surrounding rocks in terms of amplitude, frequency, and phase. For example, channel sand bodies may exhibit stronger amplitude reflections, while the reflection amplitudes from surrounding rocks such as mudstone are relatively weaker. By identifying these variations in reflection characteristics, the boundaries and extension direction of the river channel can be inferred, thereby determining its distribution characteristics. If a set of continuous, relatively strong, and geometrically defined reflection phase axes is observed on a seismic profile, it may indicate the presence of a river channel.

[0077] Geological studies indicate that river channel profiles are typically flat at the top and convex at the bottom, with the centerline position varying depending on the section location. For example, in relatively straight river sections, the centerline is at the center of the channel, and the river boundaries on both sides are relatively symmetrical. In this case, the hydrodynamic conditions within the channel are stable, as predicted by thickness and width, resulting in relatively equal scouring effects on both banks. However, in river sections with significant bends, the centerline shifts laterally due to water flow towards the concave bank, causing scouring and erosion. Consequently, the river channel profile no longer exhibits symmetry, generally showing a slightly greater channel thickness on the concave bank. Within the same river channel profile, depths may be the same or different at different vertical locations.

[0078] Figure 6 This is a schematic diagram of a well drilling location encountering a river channel, applicable to Embodiment 1 of the present invention, as shown below. Figure 6 As shown, given the channel thickness based on well logging curve characteristics, the channel width is calculated using the width-to-thickness ratio data obtained from the aforementioned modern sedimentary and field outcrop data. In this case, only channel size data can be obtained, but the spatial distribution and characteristics of the channel cannot be determined. Figure 6 Taking a river as an example, after determining the thickness and width of the river, the lateral position of the well encountering the river can be determined, but it is impossible to determine whether the main river is located to the left or right of the well. Therefore, this patent uses the logging curves of surrounding wells and seismic profile results to jointly constrain and determine the river position.

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

[0080] In this embodiment of the invention, determining the spatial relationship characteristics between river channels encountered by each well based on location includes:

[0081] Determine the RT curve morphology of each well, and determine the connectivity between the channels encountered by each well based on whether the RT curves all show channel sand body characteristics in the same depth range and the similarity of the RT curve morphology.

[0082] If the core samples from two or more wells show similar sedimentary rhythms with finer grains at the top, gradually coarser from top to bottom, and channel stagnant deposits with gravel at the bottom, then the corresponding wells are in a connected channel encountered by the well.

[0083] Based on the comparison of well logging curves, core observations and seismic data, the development of well-drilled channels in the target layer is determined. If two or more wells have well-drilled channels in a certain layer and are in connected well-drilled channels, the spatial relationship of the well-drilled channels in the corresponding wells is determined.

[0084] In this embodiment of the invention, determining the spatial relationship between the well and the river encountered in the corresponding logging includes:

[0085] The left-right correspondence between each logging and the river encountered by the well in a connected well is determined based on the thickness of the microfacies on the well surface.

[0086] Based on the depth and location of the river encountered during drilling and the vertical correspondence between each logging and the river encountered during drilling, core samples were observed.

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

[0088] Figure 8 is a schematic diagram of the spatial distribution relationship between channels in a single well in a 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 by a single well or multiple wells working together. Figure 8 provides logging curve data for some sections of seven wells in the study area. The RT curves in this study area are sensitive to channel sand bodies and can easily help identify the location and thickness of channels above the well. For example, Figure 8aAs shown, the RT curves of wells A1, A2, and A6 reflect the development of two phases of channel sand bodies in the target layer of the study area. There is a certain distance between the upper and lower channels of wells A1 and A6, with the channel space filled with muddy deposits. The RT curve of well A2 shows that the two phases of channel sand bodies in the target layer of the study area are connected, with no muddy deposits in between. Therefore, it can be determined that well A2 is located in the middle of the channel, while wells A1 and A6 are located at the edge of the channel.

[0089] like Figure 8b As shown, wells A4 and A3 exhibit only Phase I channels in the target stratum of the study area. The difference in channel development depth between the two wells indicates that the channels in wells A4 and A3 are not directly connected. Well A5, located between the two wells, shows Phase II channels superimposed in the target stratum, with no mud deposits between the channels. Core analysis also reflects a complete positive rhythmic development of Phase II channels in this stratum. The upper channel has a finer grain size, gradually increasing to coarser from top to bottom, while the lower channel shows stagnant sediments with visible gravel. Therefore, it can be determined that wells A4 and A5 develop connected channels of the same phase. Based on the surface microfacies thickness, well A4 is located on the left side of the channel, and well A5 on the right side. Similarly, wells A5 and A3 develop connected channels of the same phase. Based on the surface channel depth and core observations, the channel connecting well A4 is located in the upper part of the reservoir, while the channel connecting well A3 is located in the lower part of the reservoir.

[0090] like Figure 8c As shown, well A7 developed two types of channels within the target stratum in the study area. Based on the characteristics of the well's RT curve and core observation, the vertical location of the two types of channels was determined. These two types of channels encountered in the well are not vertically connected. For example, comparing the logging curves of well A7 with those of neighboring wells in the target stratum, and verifying this with seismic data, it was determined that the sand bodies in the two types of channels are not connected to channels in other wells.

[0091] S140. Based on the spatial distribution characteristics, establish a three-dimensional training image of well drilling encountering rivers in the study area.

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

[0093] Based on spatial distribution characteristics and relationships as constraints, the spatial distribution characteristics of single-period river channels and the relationships between river channels are controlled. A three-dimensional training image is established by combining river channel thickness information, river channel width information and inter-well sand body distribution information through modeling software.

[0094] Using the aforementioned spatial distribution characteristics and relationships as constraints, the spatial distribution characteristics of single-period river channels and the relationships between river channels are controlled, thereby establishing a three-dimensional training image. Figure 9 This is a schematic diagram of a three-dimensional training image result applicable to Embodiment 1 of the present invention, as shown below. Figure 9As shown, the thickness of the channel sand body at the well point was obtained based on core and well logging data. Width-to-thickness ratio data were obtained through similar modern sedimentary data and field outcrop data. The distribution of sand bodies between wells was determined based on seismic data volume constraints. After determining the location of the well encountering the channel and its spatial characteristics, a three-dimensional training image of the target layer in the study area was comprehensively constructed based on the information and data provided in the above steps. The training image includes information such as channel size, spatial distribution relationships, and superposition relationships between channels.

[0095] Example 2

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

[0097] The thickness value determination unit 1010 is used to determine the location of existing surface channels and the thickness value of each surface channel based on the logging data of each well in the study area to be identified.

[0098] The width-to-thickness ratio determination unit 1020 determines the range of the channel width-to-thickness ratio based on the channel thickness and width information of the control area, which serves as a reference standard. The control area is determined based on the geological conditions of the study area. The width range of the channel encountered in each well is determined based on the channel width-to-thickness ratio range.

[0099] The spatial relationship determination unit 1030 is used to predict the location of each well drilling encounters a river based on the thickness value and width range; and to determine the spatial relationship characteristics between each well drilling encounters a river based on the location.

[0100] The 3D image building unit 1040 is used to build 3D training images of well drilling encounters with rivers in the study area based on spatial distribution characteristics.

[0101] Optionally, the thickness value determination unit 1010 is specifically used to perform:

[0102] The location of the surface channel in the study area was determined by combining the natural gamma, spontaneous potential, clay content, sonic and compensated neutron logging curves of each well and the core data of the study area.

[0103] The top and bottom depths of each well channel are determined based on the channel location, and the thickness value is determined by the top and bottom depths.

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

[0105] Obtain field outcrop profile images of the river channels in the control area and identify the integrity of the river channels in the field outcrop profile images;

[0106] When the channel integrity is greater than a preset threshold, the channel thickness and width information of the control area are determined based on the field outcrop profile images; when the channel integrity is not greater than the preset threshold, the channel thickness and width information of the control area are estimated by modern sedimentary analogy or by analogy with the scale of complete channels around the source.

[0107] Optionally, the spatial relationship determination unit 1030 is used to predict the location of each well encountering a river based on the thickness value and width range through one or more of the following methods:

[0108] In the seismic profile, identify river segments whose morphology is more similar to that of the river channel profile than a preset threshold, and use the location of the river segment as the predicted location of the well drilling encountering the river.

[0109] The location of the reflection phase axis in the seismic profile that meets the preset conditions is used as the predicted location of the well drilling encountering the river channel.

[0110] Optionally, the spatial relationship determination unit 1030, when performing the determination of the spatial relationship characteristics between the wells and the rivers encountered based on their locations, specifically performs the following:

[0111] Determine the RT curve morphology of each well, and determine the connectivity between the channels encountered by each well based on whether the RT curves all show channel sand body characteristics in the same depth range and the similarity of the RT curve morphology.

[0112] If the core samples from two or more wells show similar sedimentary rhythms with finer grains at the top, gradually coarser from top to bottom, and channel stagnant deposits with gravel at the bottom, then the corresponding wells are in a connected channel encountered by the well.

[0113] Based on the comparison of well logging curves, core observations and seismic data, the development of well-drilled channels in the target layer is determined. If two or more wells have well-drilled channels in a certain layer and are in connected well-drilled channels, the spatial relationship of the well-drilled channels in the corresponding wells is determined.

[0114] Optionally, the spatial relationship determination unit 1030, when determining the spatial relationship between the well and the river channel encountered in the corresponding logging, specifically performs the following:

[0115] The left-right correspondence between each logging and the river encountered by the well in a connected well is determined based on the thickness of the microfacies on the well surface.

[0116] Based on the depth and location of the river encountered during drilling and the vertical correspondence between each logging and the river encountered during drilling, core samples were observed.

[0117] Optionally, the 3D image creation unit 1040 is specifically used to perform:

[0118] Based on spatial distribution characteristics and relationships as constraints, the spatial distribution characteristics of single-period river channels and the relationships between river channels are controlled. A three-dimensional training image is established by combining river channel thickness information, river channel width information and inter-well sand body distribution information through modeling software.

[0119] The river space identification device provided in the embodiments of the present invention can execute the river space identification method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method.

[0120] Example 3

[0121] Figure 11 A schematic diagram of an electronic device 10 that can be used to implement 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, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0122] like Figure 11 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

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

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

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

[0126] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0127] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

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

[0129] To provide 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 pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide 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 sound input, voice input, or tactile input).

[0130] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0131] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0132] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0133] The specific embodiments described above do not constitute a limitation on the scope of protection of this 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 principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for spatial identification of river channels, characterized in that, include: The location of existing surface channels and the thickness value of each surface channel are determined based on the logging data of each well in the study area to be identified. The channel width-to-thickness ratio range is determined based on the channel thickness and width information of the control area, which serves as a reference standard. The control area is determined according to the geological conditions of the study area. The width range of the well-drilled channel corresponding to each well channel is determined based on the channel width-to-thickness ratio range. Predict the location of each well encountering a river based on the thickness value and the width range; determine the spatial relationship characteristics between the wells encountering the river based on the location; Based on the spatial relationship characteristics, a three-dimensional training image of the river encountered by well drilling in the study area is established; The method of predicting the location of each well encountering a river based on the thickness value and the width range includes one or more of the following: In the seismic profile, a river segment with a similarity to the river profile shape greater than a preset threshold is identified, and the location of this river segment is used as the predicted location of the well drilling encountering the river. The position of the reflection phase axis in the seismic profile that meets the preset conditions is used as the predicted position of the well drilling encountering the river.

2. The method according to claim 1, characterized in that, The process of determining the location of existing surface channels and the thickness value of each surface channel based on the logging data of each well in the study area to be identified includes: The location of the surface channel in the study area was determined by combining the natural gamma, spontaneous potential, clay content, acoustic and compensated neutron logging curves of each well, as well as the core data of the study area. The top and bottom depths of each well channel are determined based on the channel location, and the thickness value is determined by the top and bottom depths.

3. The method according to claim 1, characterized in that, The river channel thickness and width information are obtained in the following manner: Obtain field outcrop profile images of the river channel in the control area, and identify the integrity of the river channel in the field outcrop profile images; When the channel integrity is greater than a preset threshold, the channel thickness and 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 and width information of the control area are estimated by modern sedimentary analogy or by analogy of the scale of complete channels around the source.

4. The method according to claim 1, characterized in that, The step of determining the spatial relationship characteristics between the wells and the rivers encountered based on the locations includes: The RT curve morphology of each well logging is determined, and the connectivity between the wells encountered in the river is determined based on whether the RT curves all show river sand body characteristics in the same depth segment and the similarity of the RT curve morphology. If the core samples from two or more wells show similar sedimentary rhythms with finer grains at the top, gradually coarser from top to bottom, and channel stagnant deposits with gravel at the bottom, then the corresponding wells are in a connected channel encountered by the well. Based on the comparison of well logging curves, core observations and seismic data, the development of well-drilled channels in the target layer is determined. If two or more wells have well-drilled channels in a certain layer and are in connected well-drilled channels, the spatial relationship of the well-drilled channels in the corresponding wells is determined.

5. The method according to claim 4, characterized in that, Determining the spatial relationship between the river channel encountered by the corresponding well logging includes: The left-right correspondence between each logging and the river encountered by the well in a connected well is determined based on the thickness of the microfacies on the well surface. Based on the depth and location of the river encountered during drilling and the vertical correspondence between each logging and the river encountered during drilling, core samples were observed.

6. The method according to claim 1, characterized in that, The process of establishing a three-dimensional training image of the river encountered by well drilling in the study area based on the spatial relationship features includes: Based on spatial relationship characteristics and constraints, the spatial relationship characteristics of a single-period river channel and the relationships between channels are controlled. The three-dimensional training image is established by combining channel thickness information, channel width information and inter-well sand body distribution information with modeling software.

7. A river channel spatial identification device, characterized in that, include: The thickness value determination unit is used to determine the location of existing surface channels and the thickness value of each surface channel based on the logging data of each well in the study area to be identified. The width-to-thickness ratio determination unit determines the range of channel width-to-thickness ratio based on the channel thickness and width information of the control area, which serves as a reference standard. The control area is determined based on the geological conditions of the study area. The width range of the well-drilled channel corresponding to each surface channel is determined based on the channel width-to-thickness ratio range. A spatial relationship determination unit is used to predict the location of each well drilling encountering a river based on the thickness value and the width range; and to determine the spatial relationship characteristics between the river encounters of each well drilling based on the location. A three-dimensional image building unit is used to build a three-dimensional training image of the well drilling encountering the river in the study area based on the spatial relationship features. The spatial relationship determination unit performs the prediction of the location of each well encountering a river based on the thickness value and the width range through one or more of the following methods: In the seismic profile, a river segment with a similarity to the river profile shape greater than a preset threshold is identified, and the location of this river segment is used as the predicted location of the well drilling encountering the river. The position of the reflection phase axis in the seismic profile that meets the preset conditions is used as the predicted position of the well drilling encountering the river.

8. An electronic device, characterized in that, The electronic device includes: 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, the computer program being executed by the at least one processor to enable the at least one processor to perform the river spatial identification method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the river spatial identification method according to any one of claims 1-6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the river channel spatial identification method according to any one of claims 1-6.

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