CN115221741A - Method and system for constructing natural gas hydrate reservoir hill morphology framework model - Google Patents

Method and system for constructing natural gas hydrate reservoir hill morphology framework model Download PDF

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CN115221741A
CN115221741A CN202110423201.2A CN202110423201A CN115221741A CN 115221741 A CN115221741 A CN 115221741A CN 202110423201 A CN202110423201 A CN 202110423201A CN 115221741 A CN115221741 A CN 115221741A
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hydrate
layer
reservoir
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hydrate reservoir
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赵磊
段太忠
廉培庆
商晓飞
张文彪
李蒙
王鸣川
赵华伟
吴双
韩磊
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China Petroleum and Chemical Corp
Sinopec Exploration and Production Research Institute
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Sinopec Exploration and Production Research Institute
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Abstract

The invention discloses a method and a system for constructing a natural gas hydrate reservoir hill form framework model, which comprises the following steps: locking a hydrate reservoir general framework containing key layer marks according to three-dimensional seismic data, core experiment data and logging data of an area to be researched, wherein the key layer comprises a free gas cap, a BRS surface and a hydrate bottom; acquiring seismic interpretation data of well distribution and regional structure in a region, and determining the edge change characteristics of the current hydrate reservoir by combining the hydrate development rule; according to the edge change characteristics and the reservoir general framework, establishing a thickness control chart of each key layer and constructing a zero-thickness control point; establishing a layer model of each key layer according to the reservoir general framework, the thickness control chart and the zero-thickness control point; and integrating the models of all the layers and combining the thickness of the key layer and the enrichment degree of the reservoir to form a hydrate reservoir framework model. The frame model constructed by the method better accords with actual geological characteristics.

Description

Method and system for constructing natural gas hydrate reservoir hill morphology framework model
Technical Field
The invention relates to the technical field of mineral and energy exploration and development, in particular to a method and a system for constructing a natural gas hydrate reservoir hilly form framework model.
Background
The natural gas hydrate reservoir has the characteristics of high energy density, wide distribution, shallow burial, excellent formed physical conditions and the like, is expected to become the most ideal new energy source in the twenty-first century and has commercial development prospect, and has important significance in global environmental change.
At present, the technical data for modeling the natural gas hydrate reservoir stratum are less, in the modeling field, a framework model is a premise for building modeling subsequently, and related data for a hydrate framework geological model are less, so that the method for building a high-precision hydrate framework model and forming the hydrate framework model has very important significance for truly connecting a 'bridge' between hydrate exploration and development. In the process of implementing the invention, the inventor finds that in the existing hydrate modeling technology, a hydrate key layer is constructed to establish a hydrate stratum model mainly according to a small amount of vertical well layering information, and although the edge thickness characteristic of the stratum model can be described to a certain extent, the boundary thickness characteristic does not conform to the hill shape of the hydrate, so that the reserve calculation result is enlarged, and a certain difficulty is caused to later well location design.
Therefore, the prior art needs to provide a construction scheme of a three-dimensional framework model conforming to the hydrate reservoir morphology, so that the constructed hydrate framework model can accurately describe the hydrate development characteristics in a research area.
Disclosure of Invention
In order to solve the technical problem, the invention provides a method for constructing a natural gas hydrate reservoir hill form framework model, which comprises the following steps: according to three-dimensional seismic data, core experiment data and logging data of an area to be researched, locking a hydrate reservoir overall framework containing key layer marks in the current area, wherein the key layer comprises a free gas cap, a BRS surface and a hydrate bottom surface; acquiring well distribution characteristics and regional structure seismic interpretation data in a current region, and determining edge change characteristics of a current hydrate reservoir stratum by combining hydrate development rules; respectively establishing a thickness control chart of each key layer according to the edge change characteristics and the hydrate reservoir general framework, and constructing a zero thickness control point; respectively establishing a layer model of each key layer according to the hydrate reservoir general framework, the thickness control chart and the zero thickness control point; and integrating the models of all the layers and combining the thickness of the key layer and the enrichment degree of the reservoir to form a hydrate reservoir framework model.
Preferably, before integrating the respective facet models, the method further comprises: and performing profile drawing processing on the layer model of each key layer, detecting whether the matching relation between layers accords with the geological characteristics of the region of the current hydrate reservoir, and performing integration processing on the layer models after the detection is passed.
Preferably, in the event of a detection failure, an edge thinning tendency in the edge variation feature is re-identified.
Preferably, identifying a key layer of a hydrate reservoir in the current area according to the three-dimensional seismic data of the area to be researched; carrying out stratum horizon division on a vertical well in the current region by using the rock core experiment data and the logging and logging data, and correcting the position of each key bedding plane based on seismic interpretation by using a horizon division result; and establishing a key layer diagram of the hydrate reservoir and integrating the key layer diagram to form the hydrate reservoir overall framework.
Preferably, a key level map of the hydrate reservoir is established by adopting a discrete smooth interpolation method according to each key level after horizon correction based on seismic interpretation.
Preferably, according to the thickness of the free gas layer, the thickness of the hydrate solid layer and the enrichment degree information of the hydrate reservoir, the vertical grid precision required by the frame model construction is set, and the integrated layer model is subjected to grid processing according to the vertical grid precision, so that the hydrate reservoir frame model is generated.
Preferably, according to an edge thinning tendency distribution characteristic in the edge variation characteristics, an intersection point of extension lines of each key layer at each edge thinning tendency is determined as a zero thickness position of the current thinning tendency to form the zero thickness control point.
In another aspect, the present invention also provides a system for constructing a natural gas hydrate reservoir hill morphology framework model, comprising: the overall framework generation module is configured to lock a hydrate reservoir overall framework containing key layer marks in the current region according to three-dimensional seismic data, core experiment data and logging data of the region to be researched, wherein the key layer comprises a free gas cap, a BRS surface and a hydrate bottom surface; the edge characteristic generation module is configured to acquire well distribution characteristics and regional structure seismic interpretation data in a current region and determine edge change characteristics of a current hydrate reservoir stratum by combining a hydrate development rule; the constraint condition generation module is configured to respectively establish a thickness control chart of each key layer according to the edge change characteristics and the hydrate reservoir general framework and construct a zero thickness control point; the layer model generation module is configured to respectively establish a layer model of each key layer according to the hydrate reservoir overall framework, the thickness control chart and the zero-thickness control point; and the framework model generation module is configured to integrate the various stratum models and combine the thickness of the key layer and the enrichment degree of the reservoir to form a hydrate reservoir framework model.
Preferably, the framework model generation module is further configured to perform profile extraction processing on the layer model of each key layer, detect whether the matching relationship between the layers conforms to the geological features of the region where the current hydrate reservoir is located, and perform integration processing on the layer models after the detection is passed.
Preferably, the overall trellis generating module comprises: the key bedding surface identification unit is configured to identify the key bedding surface of the hydrate reservoir in the current area according to the three-dimensional seismic data of the area to be researched; the key bedding surface position correcting unit is configured to utilize the rock core experiment data and the logging and logging data to carry out stratum horizon division on a vertical well in the current area, and utilize a horizon division result to correct the position of each key bedding surface based on seismic interpretation; and the key level integration unit is configured to establish a key level diagram of the hydrate reservoir and integrate the key level diagram to form the hydrate reservoir overall framework.
Compared with the prior art, one or more embodiments in the above scheme can have the following advantages or beneficial effects:
the invention discloses a method and a system for constructing a natural gas hydrate reservoir hill form framework model. The method and the system perform frame modeling by taking the mound shape of the natural gas hydrate as a target, increase control point data and a stratum thickness control chart of a boundary small layer through seismic interpretation data and shape information obtained by geological research, describe distribution characteristics (boundary characteristics of the edges of the reservoir) and thickness change characteristics of the edge reservoir, and can better ensure the mutual contact relation of a free gas layer, a BSR layer and a hydrate solid layer. The method solves the problem that the conventional hydrate framework model is built without considering the form of the hydrate, and the model precision is higher by building the framework model by taking the hill form of the hydrate reservoir as a target layer; meanwhile, the problem that the form of the edge part of the traditional natural gas hydrate model is rarely considered is solved, the problem of matching among all key layers is solved, and the information calibrated by the control point and the thickness map is effectively utilized, so that the frame model is more in line with the actual geological characteristics; according to the invention, the structural interpretation in the earthquake of the research area is effectively combined with information such as well drilling layering and geologists' knowledge, the built framework model reduces uncertainty for the whole set of hydrate geological modeling, helps to analyze geological rules, calculate reserves, optimize well position deployment and improve drilling rate, and can be used for subsequent reservoir attribute modeling through a modeling platform, thereby providing more reliable model guarantee for effective development of natural gas hydrate.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a step diagram of a method for constructing a natural gas hydrate reservoir hill morphology framework model according to an embodiment of the present application.
Fig. 2 is a specific flow diagram of a method for constructing a natural gas hydrate reservoir hill morphology framework model according to an embodiment of the present application.
Fig. 3 is a schematic diagram of the identification results of the free gas cap, the BSR layer and the hydrate solid layer determined based on seismic interpretation in the method for constructing the natural gas hydrate reservoir hill morphology framework model according to the embodiment of the present application.
Fig. 4 is a schematic diagram of a hydrate reservoir key level lattice in the method for constructing a natural gas hydrate reservoir hill morphology framework model according to the embodiment of the present application.
Fig. 5 is a schematic diagram illustrating the principle of identification of a zero-thickness position point in the method for constructing the natural gas hydrate reservoir hill morphology framework model according to the embodiment of the present application.
Fig. 6 is an exemplary illustration of an iso-thickness control map of free gas and hydrate solid layers in a method for constructing a natural gas hydrate reservoir hill morphology framework model according to an embodiment of the present application.
Fig. 7 is a schematic diagram illustrating the identification effect of the zero-thickness control point in the method for constructing the natural gas hydrate reservoir hill morphology framework model according to the embodiment of the present application.
Fig. 8 is a schematic cross-sectional view of a hydrate layer model in the method for constructing a natural gas hydrate reservoir hill morphology framework model according to the embodiment of the present application.
Fig. 9 is a schematic diagram of a hydrate reservoir hill form three-dimensional framework model in the method for constructing a natural gas hydrate reservoir hill form framework model according to the embodiment of the present application.
Fig. 10 is a block diagram of modules of a system for constructing a natural gas hydrate reservoir hill morphology framework model according to an embodiment of the application.
Detailed Description
The following detailed description of the embodiments of the present invention will be provided with reference to the drawings and examples, so that how to apply the technical means to solve the technical problems and achieve the technical effects can be fully understood and implemented. It should be noted that, as long as there is no conflict, the embodiments and the features of the embodiments of the present invention may be combined with each other, and the technical solutions formed are within the scope of the present invention.
Additionally, the steps illustrated in the flow charts of the figures may be performed in a computer system such as a set of computer-executable instructions. Also, while a logical order is shown in the flow diagrams, in some cases, the steps shown or described may be performed in an order different than here.
The natural gas hydrate reservoir has the characteristics of high energy density, wide distribution, shallow burial, excellent storage physical conditions and the like, is expected to become a new energy source which is the most ideal in the twenty-first century and has a commercial development prospect, and has important significance in global environmental change.
At present, the technical data for modeling the natural gas hydrate reservoir stratum are less, in the modeling field, a framework model is a premise for building modeling subsequently, and related data for a hydrate framework geological model are less, so that the method for building a high-precision hydrate framework model and forming the hydrate framework model has very important significance for truly connecting a 'bridge' between hydrate exploration and development. In the process of implementing the invention, the inventor finds that in the existing hydrate modeling technology, a hydrate key layer is constructed to establish a hydrate stratum model mainly according to a small amount of vertical well layering information, although the edge thickness characteristics of the hydrate stratum model can be described to a certain extent, the hydrate stratum model does not conform to the hill shape of the hydrate, so that the reserve calculation result is enlarged, and a certain difficulty is caused to the later well site design.
Therefore, there is a need in the art to provide a construction scheme for a three-dimensional framework model that conforms to hydrate reservoir morphology. In order to solve the technical problem, the application provides a method and a system for constructing a natural gas hydrate reservoir hill form framework model. The method and the system comprise the following steps: locking a hydrate reservoir general framework containing a key layer mark in a current region according to three-dimensional seismic data, core experiment data and logging data of the region to be researched, wherein the key layer comprises a free gas cap, a BRS surface and a hydrate bottom surface; then, based on a hydrate development rule, determining edge change characteristics of the current hydrate reservoir stratum by combining the current in-zone well distribution characteristics and the zone structure seismic interpretation data; then, respectively establishing a thickness control chart of a free gas layer and a thickness control chart of a hydrate solid layer which are formed by all key layers according to the determined edge change characteristics of the reservoir and the hydrate reservoir overall framework, and constructing a zero-thickness control point based on the thickness control chart; respectively establishing layer models of all key layers according to the thickness control chart and the zero thickness control point of the hydrate reservoir general framework, the free gas and the hydrate solid layer; and integrating the models of all the layers and marking the thickness and the enrichment degree of the key layer to form a hydrate reservoir framework model.
Therefore, the hydrate frame model generated by the frame model construction scheme provided by the invention can accurately describe hydrate development characteristics in a research area, including hydrate reservoir structure fluctuation, hydrate thickness change and the like, and better reflect the space distribution characteristics in the hydrate, so that the problems of few cracking edge forms of the traditional hydrate model and the matching problem among all small layers (free gas layer, BSR layer and hydrate bottom surface) are solved, and more reliable model guarantee is provided for the effective development of the natural gas hydrate.
Fig. 1 is a step diagram of a method for constructing a natural gas hydrate reservoir hill morphology framework model according to an embodiment of the present application. Fig. 2 is a specific flow chart diagram of a method for constructing a natural gas hydrate reservoir hill morphology framework model according to an embodiment of the present application. A method for constructing a frame model of a hill-like morphology of a gas hydrate reservoir (hereinafter referred to as "frame model construction method") according to an embodiment of the present invention will be described with reference to fig. 1 and fig. 2.
And S110, locking a hydrate reservoir overall framework containing key bedding mark in the current region according to the three-dimensional seismic data, the rock core experiment data and the logging and logging data of the region to be researched. Wherein the key layers include free gas cap, BRS face and hydrate base face.
Specifically, in step S110, first (step S1101, not shown) a critical level of a hydrate reservoir in the current region is identified from the three-dimensional seismic data of the region to be studied. After the three-dimensional seismic data of the area to be researched are obtained, seismic bedding plane interpretation is carried out on the current area, and the top surface (all) free gas, the top surface (all) BRS surface (all) and the bottom surface (all) hydrate of the hydrate reservoir in the current area to be researched are identified, so that a free gas cap bedding plane seismic interpretation graph, a BRS bedding plane seismic interpretation graph and a hydrate bottom plane seismic interpretation graph are obtained respectively.
Fig. 3 is a schematic diagram of the identification results of the free gas cap, the BSR layer and the hydrate solid layer determined based on seismic interpretation in the method for constructing the natural gas hydrate reservoir hill morphology framework model according to the embodiment of the present application. As shown in fig. 3, corresponding examples of the free gas cap bedding plane seismic interpretation, the BRS bedding plane seismic interpretation and the hydrate base seismic interpretation are shown from left to right, respectively. For three types of free gas cap, BSR surface and hydrate bottom surface which are determined relatively by earthquake, the three layers have relatively clear earthquake axes and are easy to explain relative to the whole hydrate reservoir, the range of the middle part of the hydrate reservoir can be determined according to the three layers, and the range of the hydrate reservoir determined based on the three layers is generally relatively small relative to the whole hydrate reservoir, so that the edge characteristic needs to be established subsequently.
Then, (step S1102, not shown) stratigraphic horizon division is performed on the vertical well in the current area to be researched by using the core experiment data, the logging data and the logging data for the area to be researched, and the position of each key layer based on seismic interpretation is corrected by using the horizon division result. Specifically, in the embodiment of the present invention, in order to obtain accurate well-level data, core data, logging cuttings, and logging data of a current area to be researched need to be obtained first, and a vertical-well-based horizon division process is performed on the area to be researched to obtain a corresponding horizon division result. Furthermore, the current obtained horizon division result (drilling well hierarchical data) is used for correcting the position of each key horizon of the current hydrate reservoir obtained based on seismic interpretation so as to mark horizon division data in the free gas cap horizon seismic interpretation chart, the BRS horizon seismic interpretation chart and the hydrate bottom surface seismic interpretation chart respectively, so that each key horizon seismic interpretation chart obtains more accurate position characteristics, and the positions of the free gas horizon and the hydrate solid horizon are determined.
In the practical application process, because the accuracy of the positions of the free gas cap, the BRS surface and the hydrate bottom surface identified based on the seismic interpretation is not enough to meet the accuracy requirement for accurate construction of the frame model, the positions of the key layers of each hydrate reservoir stratum need to be corrected by using accurate horizon division data obtained by well drilling and logging data, so that the accurate positions of the key layers are determined.
It should be noted that the critical layer according to the embodiment of the present invention refers to a layer formed between different critical layers. The key layers are formed in different layers and have a certain thickness, and the thicknesses of different positions in the key layers are different for the same key layer. Wherein the free gas layer is a layer formed between a free gas cap layer surface and a BRS surface. The hydrate solid layer is a layer formed between the hydrate base surface and the BRS surface.
After the horizon correction is completed, key level maps of the hydrate reservoir are established (step S1103, not shown), and each key level map is integrated to form a hydrate reservoir overall framework. Specifically, after obtaining each key layer seismic interpretation map after horizon correction, a discrete smooth interpolation method is adopted to respectively establish a corresponding layer map for each key layer. Thus, the free gas top surface seismic interpretation map, the BRS surface seismic interpretation map and the hydrate bottom surface seismic interpretation map identified by seismic interpretation are converted into smooth and smoother layer maps, namely the free gas top surface map, the BRS surface map and the hydrate bottom surface map. And then, after the construction of the key level diagrams of the hydrate reservoir is completed, integrating various key level diagrams together according to the accurate position distribution characteristics of the level and each position point inside the level, and forming a hydrate reservoir overall framework. Fig. 4 is a schematic diagram of a hydrate reservoir key level lattice in the method for constructing a natural gas hydrate reservoir hill morphology framework model according to the embodiment of the present application. In the overall framework, the characteristics of accurate layering information at different positions in the hydrate reservoir, accurate position distribution information of different key layer positions, position relations among different key layers and the like are marked respectively.
After the overall lattice of the hydrate reservoir is formed, model construction specific to the internal features of the hydrate reservoir is completed, so that the method proceeds to step S120 to identify the edge features of the hydrate reservoir in the current region to be studied. And S120, determining the edge change characteristics of the current hydrate reservoir based on the hydrate development rule by combining the current in-zone well distribution characteristics and the zone structure seismic interpretation data.
In step S120, first, well distribution characteristic data in the current region to be researched and seismic interpretation data of the geological structure in the current region to be researched (especially, seismic interpretation data of the geological structure in the region) need to be obtained, and then, according to the well distribution characteristic and the seismic interpretation data of the region structure, and in combination with the hydrate reservoir development rule of the current region to be researched, based on the hydrate reservoir overall framework constructed in step S110, the edge change characteristic of the hydrate reservoir in the current region is identified. Specifically, from the hydrate reservoir general lattice, the reservoir edge variation features (including the gradually thinner portion and the gradually thicker portion) are identified, and then the position having the gradually thinning tendency feature is identified from the edge variation features, so as to proceed to step S130.
Step S130 establishes a thickness control map of each key layer according to the edge variation features identified in step S120 and the hydrate reservoir overall lattice constructed in step S110, and further constructs a zero-thickness control point required for constructing a framework model based on the thickness control map of each key layer.
In step S130, first, according to the edge variation feature identified in step S120 and the hydrate reservoir overall lattice constructed in step S110, a position with a gradual thinning tendency in the edge variation feature is obtained, and a position with a gradual thinning tendency feature is determined from the hydrate reservoir overall lattice and is marked as an edge thinning tendency, so that an edge thinning tendency distribution feature is marked in the hydrate reservoir overall lattice. In the embodiment of the invention, the edge thinning tendency refers to a part of each key layer with gradually reduced thickness, and reference is made to the upper half diagram in fig. 5 (fig. 5 is a schematic diagram of the identification principle of a zero-thickness position point in the method for constructing the natural gas hydrate reservoir hill form framework model in the embodiment of the application). The portion in the dotted square indicates a portion corresponding to the edge thinning tendency. Then, according to the edge thinning tendency distribution characteristics, the intersection point of the extension lines of each key layer at each edge thinning tendency is determined as the zero thickness position (the zero thickness position comprises the zero thickness position coordinates and the depth) of the current thinning tendency, so as to form the following zero thickness control point. Wherein the zero thickness position represents the developmental boundary of each key layer in the hydrate reservoir. In this way, after the zero thickness positions corresponding to different edge thinning tendencies are marked in the overall framework, the operations of edge range expansion and edge limit limitation are completed on the overall framework with obvious internal characteristics of the reservoir, and the description range of the obvious hydrate characteristics is subjected to certain range expansion to be expanded to the boundary range formed by the development zero thickness points of each key layer of the simulated reservoir (namely the range constrained by the set of each zero thickness position point).
Next, from the hydrate reservoir general framework marked with zero thickness position information corresponding to different edge thinning trends, extracting thickness control charts of the layer thickness variation characteristics at different positions in the free gas layer (namely, the free gas layer thickness control chart), and simultaneously extracting thickness control charts of the layer thickness variation characteristics at different positions in the hydrate solid layer (namely, the hydrate solid layer thickness control chart). Specifically, according to the position difference between different key layers in the hydrate reservoir general framework, layer thickness variation characteristics at different positions in the free gas layer and layer thickness variation characteristics at different positions in the hydrate solid layer are respectively obtained, so that a corresponding free gas layer thickness control chart and a corresponding hydrate solid layer thickness control chart are formed. In this way, the edge thickness constraints required for building the frame model are obtained. At this time, the thickness variation characteristic of each thickness control map is a thickness constraint map having a thickness of zero from the middle portion of the key layer to the boundary.
Fig. 6 is an exemplary illustration of an iso-thickness control map of free gas and hydrate solid layers in a method for constructing a natural gas hydrate reservoir hill morphology framework model according to an embodiment of the present application. As shown in fig. 6, an example graph of the free gas layer thickness control graph and the hydrate solid layer thickness control graph is shown from left to right, respectively.
In addition, the embodiment of the present invention also needs to construct zero-thickness control points in step S130, so as to assign these control points as the reservoir boundary characteristics to the expansion reference of the overall trellis, i.e. the boundary range reference constraint. Specifically, after the zero thickness positions corresponding to all the edge thinning trends are determined, a series of zero thickness position points are formed in the hydrate reservoir general lattice marked with the zero thickness position information corresponding to different edge thinning trends, and the zero thickness position points are combined into the zero thickness control points, so that the marking of the zero thickness control points is completed in the hydrate reservoir general lattice. At this time, since the zero-thickness control points (series) constructed by the embodiment of the present invention are composed of the zero-thickness position points at different positions, the larger the number of the edge thinning tendency is, the larger the number of the zero-thickness position points is, the denser the zero-thickness control points are formed, and the better the subsequent layer model construction effect is.
Fig. 7 is a schematic diagram illustrating the identification effect of the zero-thickness control point in the method for constructing the natural gas hydrate reservoir hill morphology framework model according to the embodiment of the present application. As shown in fig. 7, a free gas head surface map, a BRS surface map and a hydrate bottom surface map corresponding to the hydrate reservoir overall lattice which is constructed based on the step S110 and is not marked with the edge variation feature and the zero thickness control point are respectively shown from left to right, and the position relationship between the zero thickness control point series and each layer is shown on the periphery of the corresponding layer map.
With continued reference to fig. 1 and 2, after the establishment of the thickness constraint condition for the critical layer and the reservoir boundary range condition for the zero thickness location point is completed, the process proceeds to step S140. And S140, respectively establishing layer models of all key layers according to the hydrate reservoir general framework, the free gas layer thickness control chart, the hydrate solid layer thickness control chart and the zero thickness control point.
In step S140, according to the free gas layer thickness control diagram, the hydrate solid layer thickness control diagram, and the hydrate reservoir overall lattice marked with the zero thickness position point (series), the data displayed by the key layers in the overall lattice is used as the condition data, the free gas layer thickness control diagram and the hydrate solid layer thickness control diagram are used as the boundary thickness variation constraint condition of the reservoir, and the zero thickness position point series marked in the overall lattice is used as the boundary constraint condition of the reservoir, so as to respectively establish the layer models of each key layer, that is, respectively obtain the free gas top layer model, the BRS top layer model and the hydrate bottom layer model, so that each established layer model has the boundary thickness variation characteristic and the boundary characteristic, and thus the hydrate framework model constructed based on the three layer models considers the boundary morphology and the boundary characteristic, and obtains a framework model more conforming to the actual geological knowledge.
After the layer model construction is completed, the process proceeds to step S150. Step S150 is to integrate the models of the various layers obtained in step S140, and combine the thickness of the key layer and the enrichment degree of the reservoir to form a hydrate reservoir framework model. In step S150, first, a free gas top surface layer model, a BRS surface layer model, and a hydrate bottom surface layer model including a boundary thickness variation characteristic and a boundary range characteristic are obtained, and these layer models are integrated to obtain a hydrate layer model, referring to fig. 8 (fig. 8 is a schematic cross-sectional view of the hydrate layer model in the method for constructing the natural gas hydrate reservoir hill form frame model according to the embodiment of the present application).
Then, according to the enrichment degree distribution data of the hydrate reservoir in the current region to be researched and the thickness change characteristics (the free gas layer thickness control chart and the hydrate solid layer thickness control chart) of each key layer in the reservoir, setting the vertical grid precision required by the frame model construction operation, and carrying out gridding processing on the integrated layer model according to the set vertical grid precision (for example, the precision can be 0.25-0.5 m) so as to generate a hydrate reservoir frame model, and referring to fig. 9 (fig. 9 is a schematic diagram of a hydrate reservoir hill form three-dimensional frame model in the method for constructing the natural gas hydrate reservoir hill form frame model in the embodiment of the application). The obtained hydrate reservoir framework model can fully and accurately display the hill-shaped form of the natural gas hydrate reservoir, so that a more reliable construction framework is provided for the establishment of a subsequent parameter model.
In order to improve the accuracy and effectiveness of the integration process and the matching degree of the integrated layer model and the actual geological features, in the embodiment of the present invention, the matching relationship between the layer models needs to be verified before the layer models are integrated. Specifically, the section drawing processing is performed on the layer model of each key layer obtained in step S140, and whether the matching relationship between layers meets the geological characteristic conditions of the region where the current hydrate reservoir is located is detected. More specifically, when performing the matching relationship detection, at least the following aspects need to be detected respectively: detecting whether the construction amplitude of each layer model accords with the deposition characteristics of the current reservoir in geology or not, so that the construction amplitude of each layer model is not too large; detecting whether the edge of each layer model has the problem of layer crossing; and detecting whether the overall shape of each layer model accords with the characteristics of the hill-shaped body. Therefore, the hydrate layer model integrated by each layer model needs to be matched with the actual well layering condition through the judgment of at least three aspects.
And if the detection results of all the aspects are in accordance, judging that the matching relation between the currently generated various layer models conforms to the geological characteristic conditions of the region of the current hydrate reservoir, and continuing to integrate the various layer models through detection. In addition, if one or more of the detection results in the above aspects do not meet the conditions, it is determined that the matching relationship between the currently generated individual layer models does not meet the geological feature conditions of the region where the current hydrate reservoir is located, the detection is failed, and the process returns to the above step S120.
Specifically, in one embodiment, after the detection is passed, the models of the different layers obtained in step S140 are integrated, so as to obtain a hydrate layer model with different layer matching properties consistent with the actual geological features. If the detection fails, the process returns to step S120 to re-identify the edge thinning tendency in the edge variation feature (for example, to adjust the information such as the scanning accuracy and the moving step required for identifying the edge variation feature).
The invention aims to depict the self-hill morphology of the natural gas hydrate reservoir, and the control point data and the stratum thickness control chart of the boundary small layer are increased by combining the morphological information and the well drilling hierarchical data obtained by the structural interpretation and the geological research on the earthquake, so that the integral framework of the hydrate is corrected. The built natural gas hydrate frame model solves the problems that the traditional hydrate model rarely considers the edge form and the matching among all small layers, can better reflect the internal space distribution characteristics of the hydrate, can increase the resolution ratio for the geological modeling of the whole hydrate, reduce the uncertainty, more accurately reflect the distribution characteristics of the hydrate, provide an accurate frame model basis for the subsequent reservoir attribute modeling, and can provide a more reliable model guarantee for analyzing the geological rule, optimizing the well position deployment, improving the drilling rate and effectively developing the natural gas hydrate.
On the other hand, based on the framework model construction method, the embodiment of the invention also provides a system for constructing the natural gas hydrate reservoir hill morphology framework model (hereinafter referred to as "framework model construction system"). Fig. 10 is a block diagram of modules of a system for constructing a natural gas hydrate reservoir hill morphology framework model according to an embodiment of the application. As shown in fig. 10, the framework model building system at least includes: an overall lattice generation module 101, an edge feature generation module 102, a constraint generation module 103, a level model generation module 104, and a frame model generation module 105.
Specifically, the overall lattice generation module 101 is implemented according to the method in step S110, and is configured to lock the hydrate reservoir overall lattice containing the key layer mark in the current area according to the three-dimensional seismic data, the core experimental data, and the logging and logging data of the area to be studied, where the key layer includes a free gas cap, a BRS surface, and a hydrate bottom surface; the margin feature generation module 102 is implemented according to the method in the step S120, and is configured to obtain the current well distribution features and the regional structure seismic interpretation data in the region, and determine the margin change features of the current hydrate reservoir in combination with the hydrate development rule; the constraint condition generating module 103 is implemented according to the method in the step S130, and is configured to respectively establish a thickness control chart of each key layer according to the edge variation feature and the hydrate reservoir overall framework, and further construct a zero thickness control point; the layer model generation module 104 is implemented according to the method in the step S140, and is configured to respectively establish layer models of each key layer according to the hydrate reservoir overall lattice, the thickness control diagram and the zero thickness control point; the framework model generation module 105 is implemented according to the method described in the step S150, and is configured to integrate the model of each layer and combine the thickness of the critical layer and the enrichment degree of the reservoir to form a hydrate reservoir framework model.
Further, the layer model verification module 105 is further configured to perform profile extraction processing on the layer model of each key layer, detect whether the matching relationship between the layers conforms to the geological characteristics of the region where the current hydrate reservoir is located, and perform integration processing on the layer models after the detection is passed.
Further, the overall trellis generating module 101 includes: a key level identification unit 1011, a key level location correction unit 1012, and a key level integration unit 1013. The key layer identification unit 1011 is configured to identify the key layer of the hydrate reservoir in the current area according to the three-dimensional seismic data of the area to be researched; the key layer position correction unit 1012 is configured to perform stratum layer position division on a vertical well in the current area by using rock core experiment data and logging data, and correct the position of each key layer based on seismic interpretation by using a layer position division result; the key level integration unit 1013 is configured to create a key level map of the hydrate reservoir and integrate it to form a hydrate reservoir overall framework.
The invention discloses a method and a system for constructing a natural gas hydrate reservoir hill form framework model. The method and the system perform frame modeling by taking the mound shape of the natural gas hydrate as a target, increase control point data and a stratum thickness control chart of a boundary small layer through seismic interpretation data and shape information obtained by geological research, describe distribution characteristics (boundary characteristics of the edges of the reservoir) and thickness change characteristics of the edge reservoir, and can better ensure the mutual contact relation of a free gas layer, a BSR layer and a hydrate solid layer. The method solves the problem that the conventional hydrate framework model is built without considering the form of the hydrate, and the model precision is higher by building the framework model by taking the hill form of the hydrate reservoir as a target layer; meanwhile, the problem that the form of the edge part of the traditional natural gas hydrate model is rarely considered is solved, the problem of matching among all key layers is solved, and the information calibrated by the control point and the thickness map is effectively utilized, so that the frame model is more in line with the actual geological characteristics; the invention effectively combines the earthquake structure interpretation of the research area with the information of well drilling layering, geologists and the like, and the constructed frame model reduces uncertainty for geological modeling of the whole hydrate, has certain help for analyzing geological rules, calculating reserves, optimizing well position deployment and improving drilling rate, and can also carry out subsequent reservoir attribute modeling through a modeling platform, thereby providing more reliable model guarantee for effective development of natural gas hydrate.
The above description is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
It is to be understood that the disclosed embodiments of the invention are not limited to the particular structures, process steps, or materials disclosed herein but are extended to equivalents thereof as would be understood by those ordinarily skilled in the relevant arts. It is also to be understood that the terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting.
Reference in the specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the invention. Thus, the appearances of the phrase "one embodiment" or "an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment.
Although the embodiments of the present invention have been described above, the above description is only for the convenience of understanding the present invention, and is not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. A method for constructing a natural gas hydrate reservoir thalamic morphology framework model, comprising:
according to three-dimensional seismic data, core experiment data and logging data of an area to be researched, locking a hydrate reservoir overall framework containing key layer marks in the current area, wherein the key layer comprises a free gas cap, a BRS surface and a hydrate bottom surface;
acquiring well distribution characteristics and regional structure seismic interpretation data in a current region, and determining edge change characteristics of a current hydrate reservoir stratum by combining hydrate development rules;
respectively establishing a thickness control chart of each key layer according to the edge change characteristics and the hydrate reservoir general framework, and constructing a zero thickness control point;
respectively establishing a layer model of each key layer according to the hydrate reservoir general framework, the thickness control chart and the zero thickness control point;
and integrating the models of all the layers and combining the thickness of the key layer and the enrichment degree of the reservoir to form a hydrate reservoir framework model.
2. The method of claim 1, wherein prior to integrating the respective facet models, the method further comprises:
and performing profile drawing processing on the layer model of each key layer, detecting whether the matching relation between layers accords with the geological characteristics of the region of the current hydrate reservoir, and performing integration processing on the layer models after the detection is passed.
3. The method of claim 2, wherein edge thinning tendencies in the edge variation feature are re-identified in the event of a failed detection.
4. The method according to any one of claims 1 to 3,
identifying a key layer of a hydrate reservoir in the current area according to the three-dimensional seismic data of the area to be researched;
carrying out stratum horizon division on the vertical well in the current area by using the rock core experimental data and the logging and logging data, and correcting the position of each key layer based on seismic interpretation by using a horizon division result;
and establishing a key layer diagram of the hydrate reservoir and integrating the key layer diagram to form the hydrate reservoir overall framework.
5. The method of claim 4, wherein a key-level map of the hydrate reservoir is created using discrete smooth interpolation based on each key-level after horizon correction based on seismic interpretation.
6. The method according to any one of claims 1 to 5,
and setting the longitudinal grid precision required by the frame model construction according to the thickness of the free gas layer, the thickness of the hydrate solid layer and the enrichment degree information of the hydrate reservoir, and carrying out gridding treatment on the integrated layer model according to the longitudinal grid precision, thereby generating the hydrate reservoir frame model.
7. The method according to any one of claims 1 to 6,
and according to the edge thinning tendency distribution characteristic in the edge change characteristic, determining the intersection point of the extension lines of each key layer at each edge thinning tendency as the zero thickness position of the current thinning tendency to form the zero thickness control point.
8. A system for constructing a natural gas hydrate reservoir hill morphology framework model, comprising:
the general lattice generating module is configured to lock a hydrate reservoir general lattice containing key layer marks in a current area according to three-dimensional seismic data, core experiment data and logging data of the area to be researched, wherein the key layer comprises a free gas cap, a BRS surface and a hydrate bottom surface;
the edge characteristic generation module is configured to acquire well distribution characteristics and regional structure seismic interpretation data in a current region and determine edge change characteristics of a current hydrate reservoir stratum by combining a hydrate development rule;
the constraint condition generation module is configured to respectively establish a thickness control chart of each key layer according to the edge change characteristics and the hydrate reservoir general framework and construct a zero thickness control point;
the layer model generation module is configured to respectively establish a layer model of each key layer according to the hydrate reservoir overall framework, the thickness control chart and the zero-thickness control point;
and the framework model generation module is configured to integrate the various stratum models and combine the thickness of the key layer and the enrichment degree of the reservoir to form a hydrate reservoir framework model.
9. The system of claim 8, further comprising:
and the frame model generation module is further configured to perform section drawing processing on the layer model of each key layer, detect whether the matching relationship between layers conforms to the geological characteristics of the region where the current hydrate reservoir is located, and perform integration processing on the layer models after the detection is passed.
10. The system of claim 8 or 9, wherein the overall trellis generation module comprises:
the key layer identification unit is configured to identify the key layer of the hydrate reservoir in the current area according to the three-dimensional seismic data of the area to be researched;
the key bedding surface position correcting unit is configured to utilize the rock core experiment data and the logging and logging data to carry out stratum horizon division on a vertical well in the current area, and utilize a horizon division result to correct the position of each key bedding surface based on seismic interpretation;
and the key level integration unit is configured to establish a key level diagram of the hydrate reservoir and integrate the key level diagram to form the hydrate reservoir overall framework.
CN202110423201.2A 2021-04-20 2021-04-20 Method and system for constructing natural gas hydrate reservoir hill morphology framework model Pending CN115221741A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116879948A (en) * 2023-07-18 2023-10-13 西安石油大学 Ancient topography condition identification method formed by sedimentary rock deposition

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116879948A (en) * 2023-07-18 2023-10-13 西安石油大学 Ancient topography condition identification method formed by sedimentary rock deposition

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