A digital monitoring and management method for geological exploration and its visualization management system

Abstract

This invention relates to the field of geological exploration processing, specifically to a digital monitoring and management method for geological exploration and its visualization management system. Based on dynamic and environmental data during drilling operations, the method obtains the first geological feature distribution of the space where the drilling rig operates. Based on radar detection data during drilling operations, it determines the radar wave transmission characteristics of the space surrounding the well, thereby obtaining the second geological feature distribution of the space around the well. By comparing the two geological feature distributions, it determines the internal dynamic state of the geological layer and predicts deformation trends. Based on the deformation trends and morphological changes on the surface of the geological layer, it generates a visualized three-dimensional anomaly layout map, achieving real-time, visualized, and large-scale geological surveys, thereby improving the safety of building construction projects.

Description

Technical Field

[0001] This invention relates to the field of geological exploration processing, and in particular to a digital monitoring and management method for geological exploration and its visualization management system. Background Technology

[0002] Before undertaking construction projects such as housing projects, on-site geological surveys are necessary, especially regarding the geological structure within the geological strata where the construction site is located. On-site surveys can comprehensively and accurately determine the location and thickness of different lithological soil layers within the geological strata, as well as the distribution of structures such as cracks, providing reliable and precise data for foundation construction and other aspects of the project. Currently, geological exploration mainly relies on drilling sampling and analysis methods to collect and analyze rock samples at different depths within the geological strata, obtaining information on the soil and rock types and strengths at different depths.

[0003] However, the aforementioned methods can only be used to calibrate the geological conditions within a small area of ​​the drilling site, and cannot continuously characterize the geophysical state of the entire geological layer over a large area. Furthermore, sending rock samples for analysis increases time and labor costs, and these methods cannot achieve real-time exploration, determination, and visualization of the geological layer. Moreover, these methods can only detect the existing geological structure of the geological layer and cannot predict potential abnormal instability. Therefore, how to conduct real-time, large-scale exploration within the geological layer to obtain the overall geophysical state and accurately predict potential structural changes is of great significance for the stable foundation laying and improved safety of projects such as building construction. Summary of the Invention

[0004] Considering that drilling sampling and analysis methods can only characterize the local soil and rock conditions of geological layers and cannot obtain the dynamic changes of soil and rock over a large area within the geological layers, nor can they effectively and accurately predict structural changes within the geological layers based on the energy accumulation and release caused by changes in geological structures, and thus cannot achieve real-time, visualization, and large-scale geological exploration, this invention provides a digital monitoring and management method for geological exploration, the method comprising the following steps:

[0005] S100: Acquire dynamic data and environmental data during drilling operations; based on the dynamic data and environmental data, obtain the first geological feature distribution of the space where the drilling rig is operating;

[0006] S200: Acquire radar detection data during drilling operations by the drilling rig; determine the radar wave transmission characteristics of the space surrounding the well based on the radar detection data, thereby obtaining the distribution of the second geological features of the space surrounding the well;

[0007] S300: By comparing the distribution of the first geological feature with the distribution of the second geological feature, the dynamic state inside the geological layer is determined; based on the dynamic state and the fluid dynamic layout inside the geological layer, the deformation trend inside the geological layer is predicted.

[0008] S400: Based on the deformation trend and the morphological changes of the geological layer surface, the energy distribution characteristics inside the geological layer are obtained, thereby generating a visualized three-dimensional layout map of anomalies inside the geological layer.

[0009] Preferably, in S100, dynamic data and environmental data during drilling operations are acquired; based on the dynamic data and the environmental data, the distribution of the first geological features in the space where the drilling rig is operating is obtained, specifically:

[0010] Acquire motion state data and environmental contact data of the drilling rig during drilling into the geological formation; wherein, the motion state data includes the drill bit motion posture data and drill bit motion speed data of the drilling rig; the environmental contact data includes the contact pressure data between the drill bit and the geological formation during drilling;

[0011] The motion trajectory of the drill bit within the geological layer over time is generated based on the motion state data; the geological hardness change distribution of the drill bit within the geological layer over time is generated based on the environmental contact data; the motion trajectory and the geological hardness change distribution are time-domain aligned and mapped to obtain the first geological feature distribution of the space where the drilling rig operates; wherein, the first geological feature distribution includes the material distribution and structural distribution along the movement path of the drill bit.

[0012] Preferably, in step S200, radar detection data is acquired during drilling operations; the radar wave transmission characteristics of the space surrounding the well are determined based on the radar detection data, thereby obtaining the distribution of the second geological features of the space surrounding the well, specifically as follows:

[0013] Acquire radar transmission and echo detection data during real-time drilling of the geological strata by the drilling rig;

[0014] Multimodal transmission characteristics of radar waves in the space surrounding the well are extracted from the radar transmitted and echo detection data; wherein, the multimodal transmission characteristics of radar waves include radar wave amplitude parameters and phase parameters; wave group propagation evolution is performed on the multimodal transmission characteristics of radar waves to obtain the second geological feature distribution of the space surrounding the well; wherein, the second geological feature distribution includes the material distribution and structural distribution of the space surrounding the well.

[0015] Preferably, in S300, the dynamic state within the geological layer is determined by comparing the distribution of the first geological feature and the distribution of the second geological feature; based on the dynamic state and the fluid dynamic layout within the geological layer, the deformation trend within the geological layer is predicted, specifically as follows:

[0016] By comparing the differences in material distribution and structural distribution between the first and second geological feature distributions in the spatial domain, the pressure gradient distribution along multiple directions within the geological layer is determined; wherein, the differences in material distribution include differences in the spatial distribution of material particle size; and the differences in structural distribution include differences in the spatial distribution of geological fracture structures.

[0017] Based on the pressure gradient distribution and the dynamic layout of groundwater infiltration determined by radar detection inside the geological layer, the compression deformation trend inside the geological layer is predicted; wherein, the dynamic layout of groundwater infiltration refers to the dynamic changes in the groundwater infiltration rate and infiltration range inside the geological layer.

[0018] Preferably, in step S400, based on the deformation trend and the morphological changes on the surface of the geological layer, the energy distribution characteristics inside the geological layer are obtained, thereby generating a visualized three-dimensional layout map of anomalies inside the geological layer, specifically:

[0019] Based on the deformation trend, determine the expected settlement change on the surface of the geological layer; compare the expected settlement change with the actual settlement change on the surface of the geological layer to determine the spatial distribution characteristics of unreleased strain energy inside the geological layer;

[0020] Based on the spatial distribution characteristics of the unreleased strain energy and the material intensity distribution inside the geological layer, potential collapse areas inside the geological layer are determined; the potential collapse areas are mapped onto a three-dimensional image inside the geological layer to generate a visualized three-dimensional layout map of anomalies.

[0021] On the other hand, the present invention provides a geological exploration visualization management system, the system comprising the following modules:

[0022] The drilling rig operation monitoring module is used to acquire dynamic and environmental data during drilling operations.

[0023] The first geological feature determination module is used to obtain the distribution of the first geological features in the space where the drilling rig is operating, based on the dynamic data and the environmental data.

[0024] A radar detection module is used to acquire radar detection data during the drilling process of the drilling rig.

[0025] The second geological feature determination module is used to determine the radar wave transmission characteristics of the space around the well based on the radar detection data, thereby obtaining the distribution of the second geological features of the space around the well.

[0026] The deformation prediction module is used to compare the distribution of the first geological feature and the distribution of the second geological feature to determine the dynamic state inside the geological layer; and to predict the deformation trend inside the geological layer based on the dynamic state and the fluid dynamic layout inside the geological layer.

[0027] The map generation module is used to obtain the energy distribution characteristics inside the geological layer based on the deformation trend and the morphological changes of the geological layer surface, thereby generating a visualized three-dimensional layout map of the geological layer's internal anomalies.

[0028] Preferably, the drilling rig operation detection module is used to acquire dynamic data and environmental data during drilling operations, specifically:

[0029] Acquire motion state data and environmental contact data of the drilling rig during drilling into the geological formation; wherein, the motion state data includes the drill bit motion posture data and drill bit motion speed data of the drilling rig; the environmental contact data includes the contact pressure data between the drill bit and the geological formation during drilling;

[0030] The first geological feature determination module is used to obtain the distribution of the first geological features in the space where the drilling rig is operating, based on the dynamic data and the environmental data, specifically:

[0031] The motion trajectory of the drill bit within the geological layer over time is generated based on the motion state data; the geological hardness change distribution of the drill bit within the geological layer over time is generated based on the environmental contact data; the motion trajectory and the geological hardness change distribution are time-domain aligned and mapped to obtain the first geological feature distribution of the space where the drilling rig operates; wherein, the first geological feature distribution includes the material distribution and structural distribution along the movement path of the drill bit.

[0032] Preferably, the radar detection module is used to acquire radar detection data during drilling operations, specifically:

[0033] Acquire radar transmission and echo detection data during real-time drilling of the geological strata by the drilling rig;

[0034] The second geological feature determination module is used to determine the radar wave transmission characteristics of the space surrounding the well based on the radar detection data, thereby obtaining the distribution of the second geological features of the space surrounding the well, specifically:

[0035] Multimodal transmission characteristics of radar waves in the space surrounding the well are extracted from the radar transmitted and echo detection data; wherein, the multimodal transmission characteristics of radar waves include radar wave amplitude parameters and phase parameters; wave group propagation evolution is performed on the multimodal transmission characteristics of radar waves to obtain the second geological feature distribution of the space surrounding the well; wherein, the second geological feature distribution includes the material distribution and structural distribution of the space surrounding the well.

[0036] Preferably, the deformation prediction module is used to compare the distribution of the first geological feature and the distribution of the second geological feature to determine the dynamic state inside the geological layer; based on the dynamic state and the fluid dynamic layout inside the geological layer, it predicts the deformation trend inside the geological layer, specifically as follows:

[0037] By comparing the differences in material distribution and structural distribution between the first and second geological feature distributions in the spatial domain, the pressure gradient distribution along multiple directions within the geological layer is determined; wherein, the differences in material distribution include differences in the spatial distribution of material particle size; and the differences in structural distribution include differences in the spatial distribution of geological fracture structures.

[0038] Based on the pressure gradient distribution and the dynamic layout of groundwater infiltration determined by radar detection inside the geological layer, the compression deformation trend inside the geological layer is predicted; wherein, the dynamic layout of groundwater infiltration refers to the dynamic changes in the groundwater infiltration rate and infiltration range inside the geological layer.

[0039] Preferably, the map generation module is used to obtain the energy distribution characteristics inside the geological layer based on the deformation trend and the morphological changes of the geological layer surface, thereby generating a visualized three-dimensional layout map of anomalies inside the geological layer, specifically:

[0040] Based on the deformation trend, determine the expected settlement change on the surface of the geological layer; compare the expected settlement change with the actual settlement change on the surface of the geological layer to determine the spatial distribution characteristics of unreleased strain energy inside the geological layer;

[0041] Based on the spatial distribution characteristics of the unreleased strain energy and the material intensity distribution inside the geological layer, potential collapse areas inside the geological layer are determined; the potential collapse areas are mapped onto a three-dimensional image inside the geological layer to generate a visualized three-dimensional layout map of anomalies.

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] First, the geological exploration digital management method and its visualization management system of the present invention simultaneously acquire dynamic data of the drill bit, environmental data, and radar detection data during drilling operations. They conduct contact and non-contact exploration of the space along the drill bit's movement within the geological stratum and the space around the well, respectively, to obtain the geological feature distribution of the two spaces. This satisfies the need for large-scale zonal exploration within the geological stratum and facilitates the determination of the geological dynamic environment formed by differences in materials and structures within the geological stratum.

[0044] Second, the digital management method for geological exploration and its visualization management system of the present invention perform dynamic analysis on the interior of geological layers, determine the differences in material distribution and structural distribution within the geological layers, realize the distribution of pressure gradient changes within the geological layers, which helps to accurately predict the deformation trend within the geological layers and provides a basis for determining the energy accumulation within the geological layers.

[0045] Third, the digital management method for geological exploration and its visualization management system of the present invention compare the deformation trend inside the geological layer and the morphological changes on the surface of the geological layer to determine the energy release situation generated by the geological structure inside the geological layer, effectively determine the residual unreleased energy inside the geological layer, provide a basis for predicting potential collapse areas inside the geological layer, and realize the visualization representation of the abnormal three-dimensional layout of the geological layer. Attached Figure Description

[0046] 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 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. Wherein:

[0047] Figure 1 This is a flowchart of a digital monitoring and management method for geological exploration provided by the present invention.

[0048] Figure 2 This is a schematic diagram of a drilling rig performing drilling operations.

[0049] Figure 3 It is the distribution of the primary geological features in the space where the drilling rig operates.

[0050] Figure 4 This is a radar detection diagram during drilling operations.

[0051] Figure 5 It is the distribution of the second geological feature in the space surrounding the drilling rig.

[0052] Figure 6 It is the tendency of compression and deformation within the geological strata.

[0053] Figure 7 It refers to the spatial distribution of unreleased strain energy within the geological strata.

[0054] Figure 8 This is a structural diagram of a geological exploration visualization management system provided by the present invention. Detailed Implementation

[0055] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only for explaining the present invention and not for limiting the present invention. Furthermore, it should be noted that, for ease of description, only the parts related to the present invention are shown in the accompanying drawings, not all structures. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without inventive effort are within the scope of protection of the present invention.

[0056] The terms "comprising" and "having," and any variations thereof, used in this invention are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the steps or units listed, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus.

[0057] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0058] Please see Figure 1 As shown, this invention provides a digital monitoring and management method for geological exploration, which includes the following steps:

[0059] S100: Acquire dynamic and environmental data during drilling operations; based on the dynamic and environmental data, obtain the first geological feature distribution of the space where the drilling rig operates.

[0060] Furthermore, in S100, dynamic data and environmental data during drilling operations are acquired; based on the dynamic and environmental data, the distribution of the first geological features in the space where the drilling rig operates is obtained, specifically:

[0061] Acquire motion state data and environmental contact data of the drilling rig during drilling into the geological formation; the motion state data includes the drill bit motion attitude data and drill bit motion speed data of the drilling rig; the environmental contact data includes the contact pressure data between the drill bit and the geological formation during drilling.

[0062] The motion trajectory of the drill bit within the geological layer over time is generated based on motion state data; the geological hardness variation distribution of the drill bit within the geological layer over time is generated based on environmental contact data; the motion trajectory and geological hardness variation distribution are aligned and mapped in the time domain to obtain the first geological feature distribution of the space where the drilling rig operates; wherein, the first geological feature distribution includes the material distribution and structural distribution along the movement path of the drill bit.

[0063] During geological surveys at construction sites and similar locations, drilling rigs are used to drill into the geological strata within the site. Please refer to [link / reference]. Figure 2 The drilling rig gradually advances along the depth of the geological strata. The drill bit is equipped with attitude sensors, velocity sensors, and pressure sensors, which work synchronously during the drilling process to collect data on the drill bit's motion attitude, velocity, and contact pressure between the drill bit and the geological strata. Considering that the purpose of geological exploration is to quantitatively characterize the types and thicknesses of rock strata along the depth direction, and to obtain the distribution of the physical state of rock strata at different thicknesses within the geological strata, the attitude and velocity sensors accurately detect the real-time movement of the drill bit, providing a data foundation for determining the drill bit's trajectory within the geological strata. Furthermore, the geological strata contain irregularly distributed layers of different rock and soil materials along the depth direction, including sandy mud layers, fine-grained sand layers, medium-grained sand layers, and soft mud layers. The different types of rock and soil materials in the aforementioned layers result in different hardness levels. When the drill bit moves into layers composed of different rock and soil materials, the external pressure on the drill bit surface also varies. By installing pressure sensors on the drill bit surface, the compressive force from the geological layer on the drill bit surface can be detected in real time, thereby generating contact pressure data between the drill bit and the geological layer. This provides sufficient and comprehensive data support for subsequent identification of the spatial distribution of rock and soil materials within the geological layer.

[0064] As described above, the drill bit traverses different layers of rock and soil materials during its movement within the geological strata. Spatial calibration of the drill bit's trajectory and the hardness of the contacted geological layers is achieved using drill bit state data and environmental contact data. Specifically, based on drill bit attitude data and drill bit velocity data, the drill bit's trajectory over time during drilling is generated; and based on environmental contact data, the changes in geological hardness encountered by the drill bit over time during drilling are generated. To accurately determine the distribution of geological features corresponding to the drill bit's movement trajectory within the geological strata, a time-domain alignment mapping is performed on the movement trajectory and the distribution of geological hardness variations. Specifically, based on the drilling rig's start time, the movement trajectory and the distribution of geological hardness variations are unified to the same start time. Then, the distribution of geological hardness variations is mapped to the spatial coordinate system of the movement trajectory, yielding the first geological feature distribution in the space where the drilling rig operates. This allows for the determination of material distribution (e.g., distribution of rock material types) and structural distribution (e.g., thickness distribution of each type of rock material layer) along the drill bit's movement path. The space where the drilling rig operates can be, but is not limited to, the drilling space formed by the drilling operation within the geological strata and the space within a predetermined radius. Please refer to [link to relevant documentation]. Figure 3 This demonstrates the types and thickness distribution of geological materials along the depth direction within the space where the drilling rig operates. These geological materials may include, but are not limited to, sandy mud, fine-grained sand, soft mud, and medium-grained sand. By utilizing the contact exploration of the geological layers during the drilling process, the geological feature distribution of the drilling space and its adjacent space is obtained, achieving real-time and accurate geological feature detection.

[0065] S200: Acquire radar detection data during drilling operations; determine the radar wave transmission characteristics of the space surrounding the well based on the radar detection data, thereby obtaining the distribution of the second geological features of the space surrounding the well.

[0066] Furthermore, in S200, radar detection data during drilling operations is acquired; based on the radar detection data, the radar wave transmission characteristics of the space surrounding the well are determined, thereby obtaining the distribution of the second geological features of the space surrounding the well, specifically:

[0067] Acquire radar transmission and echo detection data during real-time drilling of the geological strata by the drilling rig;

[0068] Multimodal transmission characteristics of radar waves in the space surrounding the well are extracted from radar transmitted and echo detection data. These characteristics include radar wave amplitude and phase parameters. Wave group propagation evolution is performed on the multimodal transmission characteristics to obtain the distribution of second geological features in the space surrounding the well. This second geological feature distribution includes the material distribution and structural distribution in the space surrounding the well.

[0069] Considering the limited spatial range directly contacted by the drill bit during drilling operations, the aforementioned distribution of the first geological feature cannot fully characterize the overall geological properties of the geological strata within the site. Therefore, please refer to [link / reference needed]. Figure 4 Radar equipment is installed on the drilling rig to perform non-contact detection over a larger area within the geological formation. This radar equipment includes a radar transmitter and a radar receiver. The radar transmitter scans and emits electromagnetic waves into the geological formation as the drilling rig moves. These electromagnetic waves propagate within the geological formation and are reflected by the rock materials, forming echoes that are received by the radar receiver. It is understood that different types of rock materials within the geological formation have different electromagnetic wave reflection properties, manifested in differences in parameters such as electromagnetic wave intensity reflectivity, electromagnetic wave reflection angle, and the phase difference between the echo phase and the emitted electromagnetic wave.

[0070] Radar transmitted and echo detection data are extracted from radar equipment, and the radar wave amplitude and phase parameters are obtained through analysis of this data. The radar wave amplitude parameter refers to the amplitude difference between the transmitted electromagnetic wave and the echo; the radar wave phase parameter refers to the phase difference between the transmitted electromagnetic wave and the echo. Considering that each electromagnetic wave emitted by the radar transmitter has a different propagation path within the geological layer during the scanning process, and that each electromagnetic wave encounters different rock materials, the amplitude and phase differences between each electromagnetic wave and its corresponding echo are correspondingly different. By analyzing the propagation evolution of all electromagnetic waves emitted by the radar transmitter and their echoes within the geological layer, the material and structural distribution within the electromagnetic wave propagation coverage space (i.e., the space around the well) is obtained, enabling the detection of geological features over a larger spatial range. Please refer to [link to relevant documentation]. Figure 5 This demonstrates the types and thickness distribution of geological layer materials along the depth direction in the space surrounding the drilled area. These geological layer materials may include, but are not limited to, sandy mud, fine-grained sand, soft mud, and medium-grained sand. It is understood that the physical properties of the geological layer materials can be obtained using the aforementioned radar wave amplitude and phase parameters, enabling the characterization of geological features over a larger spatial range within the geological layer.

[0071] S300: By comparing the distribution of the first geological feature and the distribution of the second geological feature, the dynamic state inside the geological layer is determined; based on the dynamic state and the fluid dynamic layout inside the geological layer, the deformation trend inside the geological layer is predicted.

[0072] Furthermore, in S300, by comparing the distribution of the first geological feature and the distribution of the second geological feature, the dynamic state within the geological layer is determined; based on the dynamic state and the fluid dynamic layout within the geological layer, the deformation trend within the geological layer is predicted, specifically as follows:

[0073] By comparing the differences in material distribution and structural distribution between the first and second geological feature distributions in the airspace, the pressure gradient distribution along multiple directions within the geological layer is determined; among which, the differences in material distribution include the spatial distribution differences in material particle size; and the differences in structural distribution include the spatial distribution differences in geological fracture structures.

[0074] Based on the pressure gradient distribution and the dynamic layout of groundwater infiltration determined by radar detection inside the geological layer, the compression deformation trend inside the geological layer is predicted; whereby the dynamic layout of groundwater infiltration refers to the dynamic changes in the groundwater infiltration rate and infiltration range inside the geological layer.

[0075] By comparison Figure 3 and Figure 5 It is evident that the rock materials present at different horizontal planes within the same depth dimension within a geological layer may differ. For example, at two different horizontal planes at a depth of 3m, the rock material at one location may be sandy mud, while the rock material at the other location may be fine-grained sand. This results in differences in material distribution (e.g., spatial distribution of material particle size) and structural distribution (e.g., spatial distribution of geological fracture width) between the space where the drilling rig operates and the space surrounding the well. These differences lead to anisotropy in the physical properties of the materials within the geological layer (e.g., frictional forces and porosity between materials). This anisotropy of the physical properties of the materials is distributed along multiple directions of pressure gradient within the geological layer, i.e., the distribution of pressure variation gradient values ​​between rock materials within the geological layer along multiple directions, comprehensively characterizing the magnitude and direction of pressure action between rock materials within the geological layer.

[0076] The anisotropic distribution of pressure gradients among rock materials within a geological stratum leads to an imbalance in stress distribution, providing the dynamic environment for localized movement of the rock materials. Furthermore, groundwater exists within the geological stratum. During its flow, groundwater seeps along the fissures between rock materials, penetrating different areas and intensifying the dynamic environment, resulting in larger and faster variations in the amplitude of localized movement within the geological stratum. When localized movement occurs, the rock materials tend to aggregate, leading to compressive deformation within the geological stratum. Please refer to [link / reference]. Figure 6 Considering the different physical properties and original state of rock materials in different regions of the geological layer, as well as the different groundwater infiltration rates and ranges in different regions, the compression deformation amplitude of rock materials in different regions is also different. Based on the pressure gradient distribution and the dynamic layout of groundwater infiltration determined by radar detection inside the geological layer, the compression deformation trend inside the geological layer (such as the trend of changes in the magnitude of compression deformation) is predicted, providing a basis for determining the magnitude of subsidence inside the geological layer.

[0077] S400: Based on the deformation trend and the morphological changes of the geological layer surface, the energy distribution characteristics inside the geological layer are obtained, thereby generating a visualized three-dimensional layout map of anomalies inside the geological layer.

[0078] Furthermore, in S400, based on deformation trends and morphological changes on the surface of the geological layer, the energy distribution characteristics within the geological layer are obtained, thereby generating a visualized three-dimensional layout map of anomalies within the geological layer, specifically:

[0079] Determine the expected subsidence changes on the surface of the geological layer based on the deformation trend; compare the expected subsidence changes with the actual subsidence changes on the surface of the geological layer to determine the spatial distribution characteristics of unreleased strain energy inside the geological layer.

[0080] Based on the spatial distribution characteristics of unreleased strain energy and the material intensity distribution inside the geological layer, potential collapse areas inside the geological layer are determined; the potential collapse areas are mapped onto a three-dimensional image inside the geological layer to generate a visualized three-dimensional layout map of anomalies.

[0081] Generally, when compression deformation occurs in a region within a geological stratum, corresponding compression deformation energy accumulates in that region. When this energy increases and exceeds the deformation energy threshold that the rock material in that region can withstand, the accumulated energy is released. This release causes subsidence within the geological stratum, leading to subsidence on the corresponding surface area. Ideally, when all the compression deformation energy within the geological stratum is released, the expected subsidence change will occur on the surface. However, in reality, the compression deformation energy within the geological stratum cannot be completely released, leaving some residual energy. First, the accumulated compression deformation energy within the geological stratum is determined based on its compression deformation trend. This is then used to determine the expected subsidence change on the surface of the geological stratum when the energy is fully released (i.e., the expected subsidence on the surface). By comparing this expected subsidence change with the actual subsidence change on the surface, the difference in subsidence is obtained, thus determining the spatial distribution characteristics of the unreleased strain energy within the geological stratum.

[0082] Please see Figure 7The magnitude of unreleased strain energy varies at different locations within a geological layer, with higher levels of unreleased strain energy corresponding to larger values. Based on the spatial distribution characteristics of unreleased strain energy and the material strength distribution within the geological layer, potential collapse zones are identified. Generally, when the unreleased strain energy in a certain area of ​​the geological layer exceeds the material strength tolerance of that area, collapse is considered likely, and this area becomes a potential collapse zone. These potential collapse zones are then mapped onto a 3D image of the geological layer, generating a visualized 3D anomaly layout map. This map can be uploaded to the cloud, allowing users to view it via smartphones and other smart devices. This enables digital and visual management of geological exploration and provides a visualized representation of the 3D anomaly layout of the geological layer.

[0083] Please see Figure 8 As shown, the present invention provides a geological exploration visualization management system, which includes the following modules:

[0084] The drilling rig operation monitoring module is used to acquire dynamic and environmental data during drilling operations.

[0085] The first geological feature determination module is used to obtain the distribution of the first geological features in the space where the drilling rig is operating, based on dynamic data and environmental data.

[0086] The radar detection module is used to acquire radar detection data during drilling operations.

[0087] The second geological feature determination module is used to determine the radar wave transmission characteristics of the space around the well based on radar detection data, thereby obtaining the distribution of the second geological features of the space around the well.

[0088] The deformation prediction module is used to compare the distribution of the first geological feature and the distribution of the second geological feature to determine the dynamic state inside the geological layer; based on the dynamic state and the fluid dynamic layout inside the geological layer, it predicts the deformation trend inside the geological layer.

[0089] The map generation module is used to obtain the energy distribution characteristics inside the geological layer based on the deformation trend and the morphological changes of the geological layer surface, thereby generating a visualized 3D layout map of the anomalies inside the geological layer.

[0090] Furthermore, the drilling rig operation monitoring module is used to acquire dynamic and environmental data during drilling operations, specifically:

[0091] Acquire motion state data and environmental contact data of the drilling rig during drilling into the geological formation; the motion state data includes the drill bit motion attitude data and drill bit motion speed data of the drilling rig; the environmental contact data includes the contact pressure data between the drill bit and the geological formation during drilling.

[0092] The first geological feature determination module is used to obtain the distribution of the first geological features in the space where the drilling rig is operating, based on dynamic data and environmental data. Specifically:

[0093] The motion trajectory of the drill bit within the geological layer over time is generated based on motion state data; the geological hardness variation distribution of the drill bit within the geological layer over time is generated based on environmental contact data; the motion trajectory and geological hardness variation distribution are aligned and mapped in the time domain to obtain the first geological feature distribution of the space where the drilling rig operates; wherein, the first geological feature distribution includes the material distribution and structural distribution along the movement path of the drill bit.

[0094] Furthermore, the radar detection module is used to acquire radar detection data during drilling operations, specifically:

[0095] Acquire radar transmission and echo detection data during real-time drilling of the geological strata by the drilling rig;

[0096] The second geological feature determination module is used to determine the radar wave transmission characteristics of the space surrounding the well based on radar detection data, thereby obtaining the distribution of the second geological features in the space surrounding the well, specifically:

[0097] Multimodal transmission characteristics of radar waves in the space surrounding the well are extracted from radar transmitted and echo detection data. These characteristics include radar wave amplitude and phase parameters. Wave group propagation evolution is performed on the multimodal transmission characteristics to obtain the distribution of second geological features in the space surrounding the well. This second geological feature distribution includes the material distribution and structural distribution in the space surrounding the well.

[0098] Furthermore, the deformation prediction module is used to compare the distribution of the first geological feature and the distribution of the second geological feature to determine the dynamic state within the geological layer; based on the dynamic state and the fluid dynamic layout within the geological layer, it predicts the deformation trend within the geological layer, specifically:

[0099] By comparing the differences in material distribution and structural distribution between the first and second geological feature distributions in the airspace, the pressure gradient distribution along multiple directions within the geological layer is determined; among which, the differences in material distribution include the spatial distribution differences in material particle size; and the differences in structural distribution include the spatial distribution differences in geological fracture structures.

[0100] Based on the pressure gradient distribution and the dynamic layout of groundwater infiltration determined by radar detection inside the geological layer, the compression deformation trend inside the geological layer is predicted; whereby the dynamic layout of groundwater infiltration refers to the dynamic changes in the groundwater infiltration rate and infiltration range inside the geological layer.

[0101] Furthermore, the map generation module is used to obtain the energy distribution characteristics inside the geological layer based on the deformation trend and the morphological changes on the surface of the geological layer, thereby generating a visualized 3D layout map of anomalies inside the geological layer, specifically:

[0102] Determine the expected subsidence changes on the surface of the geological layer based on the deformation trend; compare the expected subsidence changes with the actual subsidence changes on the surface of the geological layer to determine the spatial distribution characteristics of unreleased strain energy inside the geological layer.

[0103] Based on the spatial distribution characteristics of unreleased strain energy and the material intensity distribution inside the geological layer, potential collapse areas inside the geological layer are determined; the potential collapse areas are mapped onto a three-dimensional image inside the geological layer to generate a visualized three-dimensional layout map of anomalies.

[0104] The operation and effect of the digital monitoring and management system for geological exploration of the present invention are consistent with the above-mentioned visualization management method for geological exploration, and the visualization management system for geological exploration will not be described again here.

[0105] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of a necessary general-purpose hardware platform, or by a combination of hardware and software. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a computer product. The present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0106] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Other embodiments may also be used. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A digital monitoring and management method for geological exploration, characterized in that, The method includes the following steps: S100: Acquire dynamic data and environmental data during drilling operations; based on the dynamic data and environmental data, obtain the first geological feature distribution of the space where the drilling rig is operating; S200: Acquire radar detection data during drilling operations; determine the radar wave transmission characteristics of the space surrounding the well based on the radar detection data, thereby obtaining the distribution of the second geological features of the space surrounding the well; S300: By comparing the distribution of the first geological feature with the distribution of the second geological feature, the dynamic state within the geological layer is determined; based on the dynamic state and the fluid dynamic layout within the geological layer, the deformation trend within the geological layer is predicted, specifically: By comparing the differences in material distribution and structural distribution between the first and second geological feature distributions in the spatial domain, the pressure gradient distribution along multiple directions within the geological layer is determined; wherein, the differences in material distribution include differences in the spatial distribution of material particle size; and the differences in structural distribution include differences in the spatial distribution of geological fracture structures. Based on the pressure gradient distribution and the dynamic layout of groundwater infiltration determined by radar detection inside the geological layer, the compression deformation trend inside the geological layer is predicted; wherein, the dynamic layout of groundwater infiltration refers to the dynamic changes in the groundwater infiltration rate and infiltration range inside the geological layer. S400: Based on the deformation trend and the morphological changes of the geological layer surface, the energy distribution characteristics inside the geological layer are obtained, thereby generating a visualized three-dimensional layout map of anomalies inside the geological layer.

2. The digital monitoring and management method for geological exploration according to claim 1, characterized in that, In S100, dynamic data and environmental data during drilling operations are acquired; based on the dynamic data and environmental data, the first geological feature distribution of the space where the drilling rig operates is obtained, specifically: Acquire motion state data and environmental contact data of the drilling rig during drilling into the geological formation; wherein, the motion state data includes the drill bit motion posture data and drill bit motion speed data of the drilling rig; the environmental contact data includes the contact pressure data between the drill bit and the geological formation during drilling; The motion trajectory of the drill bit within the geological layer over time is generated based on the motion state data; the geological hardness change distribution of the drill bit within the geological layer over time is generated based on the environmental contact data; the motion trajectory and the geological hardness change distribution are time-domain aligned and mapped to obtain the first geological feature distribution of the space where the drilling rig operates; wherein, the first geological feature distribution includes the material distribution and structural distribution along the movement path of the drill bit.

3. The digital monitoring and management method for geological exploration according to claim 1, characterized in that, In step S200, radar detection data is acquired during drilling operations. Based on the radar detection data, the radar wave transmission characteristics of the space surrounding the well are determined, thereby obtaining the distribution of the second geological features of the space surrounding the well, specifically: Acquire radar transmission and echo detection data during real-time drilling of the geological strata by the drilling rig; Multimodal transmission characteristics of radar waves in the space surrounding the well are extracted from the radar transmitted and echo detection data; wherein, the multimodal transmission characteristics of radar waves include radar wave amplitude parameters and phase parameters; wave group propagation evolution is performed on the multimodal transmission characteristics of radar waves to obtain the second geological feature distribution of the space surrounding the well; wherein, the second geological feature distribution includes the material distribution and structural distribution of the space surrounding the well.

4. The digital monitoring and management method for geological exploration according to claim 1, characterized in that, In S400, based on the deformation trend and the morphological changes on the surface of the geological layer, the energy distribution characteristics inside the geological layer are obtained, thereby generating a visualized three-dimensional layout map of anomalies inside the geological layer, specifically: Based on the deformation trend, determine the expected settlement change on the surface of the geological layer; compare the expected settlement change with the actual settlement change on the surface of the geological layer to determine the spatial distribution characteristics of unreleased strain energy inside the geological layer; Based on the spatial distribution characteristics of the unreleased strain energy and the material intensity distribution inside the geological layer, potential collapse areas inside the geological layer are determined; the potential collapse areas are mapped onto a three-dimensional image inside the geological layer to generate a visualized three-dimensional layout map of anomalies.

5. A geological exploration visualization management system, characterized in that, The system includes the following modules: The drilling rig operation monitoring module is used to acquire dynamic and environmental data during drilling operations. The first geological feature determination module is used to obtain the distribution of the first geological features in the space where the drilling rig is operating, based on the dynamic data and the environmental data. A radar detection module is used to acquire radar detection data during the drilling process of the drilling rig. The second geological feature determination module is used to determine the radar wave transmission characteristics of the space around the well based on the radar detection data, thereby obtaining the distribution of the second geological features of the space around the well. The deformation prediction module is used to compare the distribution of the first geological feature with the distribution of the second geological feature to determine the dynamic state inside the geological layer; based on the dynamic state and the fluid dynamic layout inside the geological layer, it predicts the deformation trend inside the geological layer, specifically: By comparing the differences in material distribution and structural distribution between the first and second geological feature distributions in the spatial domain, the pressure gradient distribution along multiple directions within the geological layer is determined; wherein, the differences in material distribution include differences in the spatial distribution of material particle size; and the differences in structural distribution include differences in the spatial distribution of geological fracture structures. Based on the pressure gradient distribution and the dynamic layout of groundwater infiltration determined by radar detection inside the geological layer, the compression deformation trend inside the geological layer is predicted; wherein, the dynamic layout of groundwater infiltration refers to the dynamic changes in the groundwater infiltration rate and infiltration range inside the geological layer. The map generation module is used to obtain the energy distribution characteristics inside the geological layer based on the deformation trend and the morphological changes of the geological layer surface, thereby generating a visualized three-dimensional layout map of the geological layer's internal anomalies.

6. The geological exploration visualization management system according to claim 5, characterized in that, The drilling rig operation detection module is used to acquire dynamic and environmental data during drilling operations, specifically: Acquire motion state data and environmental contact data of the drilling rig during drilling into the geological formation; wherein, the motion state data includes the drill bit motion posture data and drill bit motion speed data of the drilling rig; the environmental contact data includes the contact pressure data between the drill bit and the geological formation during drilling; The first geological feature determination module is used to obtain the distribution of the first geological features in the space where the drilling rig is operating, based on the dynamic data and the environmental data, specifically: The motion trajectory of the drill bit within the geological layer over time is generated based on the motion state data; the geological hardness change distribution of the drill bit within the geological layer over time is generated based on the environmental contact data; the motion trajectory and the geological hardness change distribution are time-domain aligned and mapped to obtain the first geological feature distribution of the space where the drilling rig operates; wherein, the first geological feature distribution includes the material distribution and structural distribution along the movement path of the drill bit.

7. The geological exploration visualization management system according to claim 5, characterized in that, The radar detection module is used to acquire radar detection data during drilling operations, specifically: Acquire radar transmission and echo detection data during real-time drilling of the geological strata by the drilling rig; The second geological feature determination module is used to determine the radar wave transmission characteristics of the space surrounding the well based on the radar detection data, thereby obtaining the distribution of the second geological features of the space surrounding the well, specifically: Multimodal transmission characteristics of radar waves in the space surrounding the well are extracted from the radar transmitted and echo detection data; wherein, the multimodal transmission characteristics of radar waves include radar wave amplitude parameters and phase parameters; wave group propagation evolution is performed on the multimodal transmission characteristics of radar waves to obtain the second geological feature distribution of the space surrounding the well; wherein, the second geological feature distribution includes the material distribution and structural distribution of the space surrounding the well.

8. The geological exploration visualization management system according to claim 5, characterized in that, The map generation module is used to obtain the energy distribution characteristics inside the geological layer based on the deformation trend and the morphological changes of the geological layer surface, thereby generating a visualized three-dimensional layout map of anomalies inside the geological layer, specifically: Based on the deformation trend, determine the expected settlement change on the surface of the geological layer; compare the expected settlement change with the actual settlement change on the surface of the geological layer to determine the spatial distribution characteristics of unreleased strain energy inside the geological layer; Based on the spatial distribution characteristics of the unreleased strain energy and the material intensity distribution inside the geological layer, potential collapse areas inside the geological layer are determined; the potential collapse areas are mapped onto a three-dimensional image inside the geological layer to generate a visualized three-dimensional layout map of anomalies.

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