CN117057116A - Model construction method for heterogeneity of outcrop rock stratum - Google Patents

Model construction method for heterogeneity of outcrop rock stratum Download PDF

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Publication number
CN117057116A
CN117057116A CN202310948270.4A CN202310948270A CN117057116A CN 117057116 A CN117057116 A CN 117057116A CN 202310948270 A CN202310948270 A CN 202310948270A CN 117057116 A CN117057116 A CN 117057116A
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outcrop
model
rock phase
modeling
rock
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刘龙龙
孙中强
董红志
高栋
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Lingnan Normal University
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Lingnan Normal University
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A10/00TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
    • Y02A10/40Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping

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Abstract

The application relates to the technical field of modeling of formation heterogeneity, in particular to a model construction method of outcrop formation heterogeneity, which comprises the following steps: acquiring key points of the open-air river outcrop, and setting a virtual well according to the key points of the open-air river outcrop; determining one-dimensional information of a virtual well, and establishing a stratum construction model under a configuration interface according to the one-dimensional information; the formation model includes a plurality of configuration units; randomly simulating rock phase distribution in a plurality of configuration units to obtain an outcrop rock phase three-dimensional model; taking the outcrop rock phase three-dimensional model as constraint, importing set input parameters to corresponding layers for random simulation, and constructing to obtain an outcrop rock phase physical model; the application can improve the research precision of the heterogeneity of the outcrop stratum and has the beneficial effects of high efficiency and accuracy.

Description

Model construction method for heterogeneity of outcrop rock stratum
Technical Field
The application relates to the technical field of modeling of formation heterogeneity, in particular to a model construction method of outcrop formation heterogeneity.
Background
Outcrop rock is an important object for geological research and mineral resource exploration, and the heterogeneity is one of main factors influencing geological characteristics and physical parameters, so that the outcrop rock has important significance for research. For open-end formation heterogeneity studies, conventional methods are typically based on empirical methods with limited reliability and accuracy. Currently, with the development of computer technology, researchers began to describe the heterogeneity of outcrop rock formations using methods of mathematical models, but neither model based on empirical formulas nor geological history assumptions was able to accurately describe geological phenomena.
Disclosure of Invention
The application aims to provide a model construction method for the heterogeneity of the outcrop rock stratum, which can improve the research precision of the heterogeneity of the outcrop rock stratum and has the beneficial effects of high efficiency and accuracy.
In order to achieve the above object, the present application provides the following technical solutions:
the embodiment of the application provides a model construction method for the heterogeneity of an outcrop rock stratum, which comprises the following steps:
s100, obtaining key points of the open-air river outcrop, and setting a virtual well according to the key points of the open-air river outcrop;
s200, determining one-dimensional information of a virtual well, and establishing a stratum construction model under a configuration interface according to the one-dimensional information; the formation model includes a plurality of configuration units;
s300, randomly simulating rock phase distribution in a plurality of configuration units to obtain an outcrop rock phase three-dimensional model;
s400, taking the outcrop rock phase three-dimensional model as constraint, importing set input parameters to corresponding horizons for random simulation, and constructing to obtain the outcrop rock phase physical model.
Further, the setting of the virtual well according to the key point of the open river outcrop includes:
the number and arrangement positions of the virtual wells are determined according to the distribution of the key points, and the virtual wells are arranged at each key point.
Further, in S300, the randomly simulating the rock phase distribution in the plurality of configuration units to obtain a rock phase model includes:
s310, obtaining a geological knowledge base of modern river sediments of the same type as a modeling unit;
s320, optimizing and adjusting rock phase distribution in the configuration unit by taking the geological knowledge base as constraint, and randomly simulating to obtain a rock phase model;
s330, constructing a training image model in the multipoint geostatistics based on the rock phase model corresponding to the configuration units, and applying the constructed training image model to the random simulation of the three-dimensional distribution of the outcrop rock to obtain the three-dimensional model of the outcrop rock phase.
Further, in S320, with the geological knowledge base as a constraint, the rock phase distribution in the configuration unit is optimized and adjusted, and the rock phase model is obtained by random simulation, which includes:
s321, dividing a plurality of configuration units into different modeling units based on the geological knowledge base;
s322, independently carrying out rock phase distribution simulation on a plurality of modeling units, and calculating fitting variation functions corresponding to the modeling units to obtain a plurality of fitted variation functions;
s323, carrying out weighted calculation on a plurality of fitted variogram to obtain a simulated variogram of the rock phase;
s324, performing three-dimensional distribution simulation on each rock phase in the whole area based on the simulation variation function to obtain a rock phase model.
Further, in S321, the dividing the configuration units into different modeling units based on the geological knowledge base includes:
s3211, obtaining configuration units of the same type as the stratum construction model from the geological knowledge base, and determining a plane distribution pattern of the configuration units;
s3212, dividing the configuration units into different modeling units based on the plane distribution patterns, wherein each modeling unit corresponds to one plane distribution pattern.
The beneficial effects of the application are as follows: according to the application, the virtual well is arranged according to the outcrop of the river, the horizontal distribution of the outcrop rock can be obtained according to the one-dimensional data points of the virtual well, the information of the outcrop rock is more accurately obtained based on the stratum structure model, and the three-dimensional model of the outcrop rock is established through random simulation, so that the research precision of the heterogeneity of the outcrop rock is improved, and the method has the advantages of high efficiency, accuracy, practicability and the like.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for modeling outcrop formation heterogeneity in an embodiment of the application.
Detailed Description
The conception, specific structure, and technical effects produced by the present application will be clearly and completely described below with reference to the embodiments and the drawings to fully understand the objects, aspects, and effects of the present application. It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other.
Referring to fig. 1, fig. 1 is a flow chart of a model construction method for the heterogeneity of an outcrop rock stratum, which includes the following steps:
s100, obtaining key points of the open-air river outcrop, and setting a virtual well according to the key points of the open-air river outcrop;
s200, determining one-dimensional information of a virtual well, and establishing a stratum construction model under a configuration interface according to the one-dimensional information; the formation model includes a plurality of configuration units;
s300, randomly simulating rock phase distribution in a plurality of configuration units to obtain an outcrop rock phase three-dimensional model;
s400, taking the outcrop rock phase three-dimensional model as constraint, importing set input parameters to corresponding horizons for random simulation, and constructing to obtain the outcrop rock phase physical model.
In this embodiment, a virtual well is first set according to the key point of the open river, and then a formation model under the formation interface is established according to the one-dimensional information of the virtual well. Based on the stratum structure model, the rock phase distribution in the configuration unit is randomly simulated to obtain the outcrop rock phase three-dimensional model. And finally, introducing input parameters such as corresponding porosity, permeability and the like to corresponding layers by using an outcrop rock phase three-dimensional model (namely rock phase control), and performing random simulation to construct an outcrop rock phase physical model, so as to finally realize the quantitative research on the heterogeneity of the outcrop rock.
According to the method, a novel setting method of the virtual well based on the exposure of the river is used, the horizontal distribution of the exposure rock can be obtained according to the one-dimensional data points, a three-dimensional model of the exposure rock is established through a numerical simulation method, and the information of the exposure rock is acquired more accurately based on a stratum structure model, so that the research precision of the heterogeneity of the exposure rock is improved, and the method has the advantages of high efficiency, accuracy, practicability and the like. The embodiment provided by the application can be applied to the fields of petrology, geology, petroleum exploration and the like, can accurately acquire the three-dimensional information of the outcrop stratum, and has important practical significance and practical value for researching the heterogeneity of the outcrop stratum.
In some preferred embodiments, the setting a virtual well according to a key point of the open river exposure includes:
the number and arrangement positions of the virtual wells are determined according to the distribution of the key points, and the virtual wells are arranged at each key point.
In some preferred embodiments, in S300, the randomly simulating the rock phase distribution in the plurality of configuration units to obtain a rock phase model includes:
s310, obtaining a geological knowledge base of modern river sediments of the same type as a modeling unit;
s320, optimizing and adjusting rock phase distribution in the configuration unit by taking the geological knowledge base as constraint, and randomly simulating to obtain a rock phase model;
s330, constructing a training image model in the multipoint geostatistics based on the rock phase model corresponding to the configuration units, and applying the constructed training image model to the random simulation of the three-dimensional distribution of the outcrop rock to obtain the three-dimensional model of the outcrop rock phase.
Specifically, in the process of rock phase random simulation in the configuration unit, the rock phase model is obtained by optimizing and adjusting random simulation by taking the modern river sediment geological knowledge base of the same type as a constraint, so that the reliability of the rock phase random simulation result is enhanced. And constructing a multipoint geostatistical training image model based on the rock phase model, and applying the constructed training image model to the random three-dimensional distribution simulation of the outcrop rock to obtain the rock phase model of the outcrop rock.
In one embodiment, in S320, optimizing and adjusting the rock phase distribution in the configuration unit with the geological knowledge base as a constraint, and randomly simulating to obtain a rock phase model, including:
s321, dividing a plurality of configuration units into different modeling units based on the geological knowledge base;
s322, independently carrying out rock phase distribution simulation on a plurality of modeling units, and calculating fitting variation functions corresponding to the modeling units to obtain a plurality of fitted variation functions;
s323, carrying out weighted calculation on a plurality of fitted variogram functions to obtain a simulated variogram of the rock phase;
s324, performing three-dimensional distribution simulation on each rock phase in the whole area based on the simulation variation function to obtain a rock phase model.
In the embodiment, firstly, a mode of integrating into zero is adopted, different configuration units are respectively divided into different modeling units according to the plane distribution patterns of the configuration units deposited by modern rivers of the same type with higher similarity, the distribution simulation of rock phases is independently completed in the modeling units, and a fitting variation function is independently calculated; and finally, adopting a mode of gathering and scattering to integrate, carrying out weighted calculation on the fitted variation function according to the degree of heterogeneity of rock phase data plane distribution to obtain a simulated variation function of the rock phase suitable for the whole area, and carrying out three-dimensional distribution simulation of the rock phase of the whole area by using the variation function. By adopting a data processing mode of integrating into zero and integrating into whole, the modeling efficiency is improved, and the modeling difficulty is reduced.
In some preferred embodiments, in S321, the dividing the configuration units into different modeling units based on the geological knowledge base includes:
s3211, obtaining configuration units of the same type as the stratum construction model from the geological knowledge base, and determining a plane distribution pattern of the configuration units;
s3212, dividing the configuration units into different modeling units based on the plane distribution patterns, wherein each modeling unit corresponds to one plane distribution pattern.
While the preferred embodiments of the present disclosure have been illustrated and described, the present disclosure is not limited to the above-described embodiments, and various equivalent modifications and substitutions can be made by those skilled in the art without departing from the spirit of the present disclosure, and these equivalent modifications and substitutions are intended to be included in the scope of the present disclosure as defined in the appended claims.

Claims (5)

1. A method of modeling outcrop formation heterogeneity, the method comprising the steps of:
s100, obtaining key points of the open-air river outcrop, and setting a virtual well according to the key points of the open-air river outcrop;
s200, determining one-dimensional information of a virtual well, and establishing a stratum construction model under a configuration interface according to the one-dimensional information; the formation model includes a plurality of configuration units;
s300, randomly simulating rock phase distribution in a plurality of configuration units to obtain an outcrop rock phase three-dimensional model;
s400, taking the outcrop rock phase three-dimensional model as constraint, importing set input parameters to corresponding horizons for random simulation, and constructing to obtain the outcrop rock phase physical model.
2. The method for modeling outcrop formation heterogeneity according to claim 1, wherein the setting of the virtual well according to the key point of outcrop of the field river comprises:
the number and arrangement positions of the virtual wells are determined according to the distribution of the key points, and the virtual wells are arranged at each key point.
3. The method for modeling the inhomogeneity of an outcrop formation according to claim 1, wherein in S300, the randomly modeling the rock phase distribution in the plurality of configuration units to obtain a rock phase model includes:
s310, obtaining a geological knowledge base of modern river sediments of the same type as a modeling unit;
s320, optimizing and adjusting rock phase distribution in the configuration unit by taking the geological knowledge base as constraint, and randomly simulating to obtain a rock phase model;
s330, constructing a training image model in the multipoint geostatistics based on the rock phase model corresponding to the configuration units, and applying the constructed training image model to the random simulation of the three-dimensional distribution of the outcrop rock to obtain the three-dimensional model of the outcrop rock phase.
4. The method for modeling outcrop formation heterogeneity according to claim 3, wherein in S320, the rock phase distribution in the configuration unit is optimized and adjusted by using the geological knowledge base as a constraint, and the rock phase model is obtained by random simulation, which comprises:
s321, dividing a plurality of configuration units into different modeling units based on the geological knowledge base;
s322, independently carrying out rock phase distribution simulation on a plurality of modeling units, and calculating fitting variation functions corresponding to the modeling units to obtain a plurality of fitted variation functions;
s323, carrying out weighted calculation on a plurality of fitted variogram to obtain a simulated variogram of the rock phase;
s324, performing three-dimensional distribution simulation on each rock phase in the whole area based on the simulation variation function to obtain a rock phase model.
5. The method for modeling the inhomogeneity of an outcrop formation according to claim 4, wherein in S321, the dividing the configuration units into different modeling units based on the geological knowledge base comprises:
s3211, obtaining configuration units of the same type as the stratum construction model from the geological knowledge base, and determining a plane distribution pattern of the configuration units;
s3212, dividing the configuration units into different modeling units based on the plane distribution patterns, wherein each modeling unit corresponds to one plane distribution pattern.
CN202310948270.4A 2023-07-31 2023-07-31 Model construction method for heterogeneity of outcrop rock stratum Pending CN117057116A (en)

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Publication number Priority date Publication date Assignee Title
CN108957549A (en) * 2018-06-26 2018-12-07 中国石油天然气股份有限公司 A kind of heterogeneous DAMAGE OF TIGHT SAND GAS RESERVOIRS Geological Modeling of braided stream deposit
CN110428497A (en) * 2019-06-25 2019-11-08 长江大学 Braided stream training image generation method
CN111415413A (en) * 2020-03-20 2020-07-14 长江大学 Training image establishing method based on field outcrop three-dimensional model

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