CN111967117B

CN111967117B - Underground reservoir prediction method and device based on outcrop carbonate rock reservoir modeling

Info

Publication number: CN111967117B
Application number: CN201910419079.4A
Authority: CN
Inventors: 沈安江; 郑剑锋; 乔占峰; 倪新锋; 张建勇; 胡安平; 潘立银; 黄理力; 朱永进; 张�杰
Original assignee: Petrochina Co Ltd
Current assignee: Petrochina Co Ltd
Priority date: 2019-05-20
Filing date: 2019-05-20
Publication date: 2022-11-01
Anticipated expiration: 2039-05-20
Also published as: CN111967117A

Abstract

The application provides an underground reservoir prediction method and device based on outcrop carbonate rock reservoir modeling, and the method comprises the following steps: acquiring a two-dimensional outcrop geological model corresponding to the outcrop carbonate reservoir, and performing three-dimensional digital scanning and labeling processing on the outcrop carbonate reservoir to obtain a corresponding three-dimensional image; obtaining three-dimensional sedimentary microfacies models corresponding to the stratum units respectively according to the three-dimensional images and lithofacies information in the actually measured section of the outcrop carbonate rock reservoir; and respectively obtaining a three-dimensional porosity model and a three-dimensional permeability model corresponding to each stratum unit according to the three-dimensional sedimentary microfacies model corresponding to each stratum unit so as to predict the effective reservoir in the underground reservoir corresponding to the outcrop carbonate rock reservoir. According to the method and the device, the three-dimensional geological model for the outcrop carbonate reservoir can be accurately and quickly established, and the prediction accuracy and reliability of the effectiveness of the underground reservoir under the reservoir scale standard can be effectively improved.

Description

Underground reservoir prediction method and device based on outcrop carbonate rock reservoir modeling

Technical Field

The application relates to the technical field of oil exploration, in particular to an underground reservoir prediction method and device based on outcrop carbonate reservoir modeling.

Background

Due to the strong heterogeneity of the carbonate reservoir, the heterogeneity characterization and evaluation of the carbonate reservoir become one of key problems facing the exploration and development of the carbonate reservoir, and the reservoir geological modeling is an important means for the characterization and evaluation of the reservoir heterogeneity. In general, reservoir geological modeling involves three dimensions: the method comprises the steps of firstly, based on macroscopic scale reservoir geological modeling understood by reservoir geologic bodies and non-reservoir geologic body distribution rules, revealing the reservoir distribution rules in a sequence grid, and providing a basis for favorable reservoir distribution areas and exploration field evaluation; reservoir scale reservoir geological modeling based on reservoir heterogeneity and evaluation understanding reveals the distribution patterns and quality of flow units and barriers; and thirdly, based on the micro-scale reservoir geological modeling understood by the reservoir pore throat structure, revealing the seepage characteristics of the reservoir and the influence on the development effect.

In the prior art, in the development stage of an oil field, if reservoir prediction which can reach the second reservoir scale standard is to be realized, a reservoir geological model based on the reservoir scale of wells and seismic data is usually required to be established, but due to the limitation of the number and quality of the wells and the seismic data and the current situation that the reservoir scale outcrop reservoir geological modeling is in a two-dimensional stage, the establishment of the reservoir scale three-dimensional outcrop carbonate reservoir geological model is restricted by unclear geological statistical basis for forming the carbonate reservoir geological modeling, imperfect reservoir modeling technology and process and the like, so that the establishment of the reservoir scale three-dimensional outcrop carbonate reservoir geological model which can reach the reservoir scale standard is difficult at present, and the prediction of the effectiveness of the underground reservoir under the reservoir scale standard cannot be realized.

Based on this, it is highly desirable to provide a way to effectively predict the effectiveness of underground reservoirs under the reservoir scale standard.

Disclosure of Invention

Aiming at the problems in the prior art, the method and the device for predicting the underground reservoir based on outcrop carbonate reservoir modeling can accurately and quickly establish a three-dimensional geological model aiming at the outcrop carbonate reservoir and can effectively improve the accuracy and reliability of the prediction of the effectiveness of the underground reservoir under the oil reservoir scale standard.

In order to solve the technical problem, the application provides the following technical scheme:

in a first aspect, the present application provides a method for predicting a subsurface reservoir based on outcrop carbonate reservoir modeling, comprising:

the method comprises the steps of obtaining a two-dimensional outcrop geological model corresponding to an outcrop carbonate rock reservoir, and carrying out three-dimensional digital scanning and labeling processing on the outcrop carbonate rock reservoir to obtain a corresponding three-dimensional image, wherein the outcrop carbonate rock reservoir is divided into a plurality of stratum units in advance;

obtaining a three-dimensional sedimentary microfacies model corresponding to each stratum unit according to the three-dimensional image and lithofacies information in the actually measured section of the outcrop carbonate rock reservoir;

and respectively obtaining a three-dimensional porosity model and a three-dimensional permeability model corresponding to each stratum unit according to the three-dimensional sedimentary microfacies model corresponding to each stratum unit, so as to predict the effective reservoir in the underground reservoir corresponding to the outcrop carbonate rock reservoir according to the three-dimensional sedimentary microfacies model, the three-dimensional porosity model and the three-dimensional permeability model corresponding to each stratum unit.

Further, before the obtaining of the two-dimensional outcrop geological model corresponding to the outcrop carbonate reservoir, the method further includes:

dividing a plurality of measuring lines for the outcrop carbonate rock reservoir according to the actual geological condition of the outcrop carbonate rock reservoir;

determining stratum layering of the outcrop carbonate rock reservoir, and dividing according to the stratum layering to obtain a plurality of stratum units;

and determining the lithofacies classification in the outcrop carbonate reservoir, and according to the rock structure profile corresponding to each measuring line.

Further, the obtaining of the two-dimensional outcrop geological model corresponding to the outcrop carbonate reservoir includes:

obtaining a two-dimensional sedimentary microfacies model of the outcrop carbonate reservoir;

and evaluating the reservoir of each section in the two-dimensional sedimentary microfacies model to obtain a two-dimensional outcrop geological model corresponding to the outcrop carbonate rock reservoir.

Further, the obtaining a two-dimensional sedimentary microfacies model of the outcrop carbonate reservoir includes:

and establishing a two-dimensional sedimentary microfacies model of the outcrop carbonate reservoir according to the rock structure profile corresponding to each measuring line.

Further, the reservoir evaluation is performed on each section in the two-dimensional sedimentary microfacies model, so as to obtain a two-dimensional outcrop geological model corresponding to the outcrop carbonate rock reservoir, and the method comprises the following steps:

obtaining physical property test results of a plurality of core samples of the outcrop carbonate reservoir;

and according to the physical property test result and the corresponding relationship among the porosity, the permeability and the lithofacies, performing reservoir evaluation on each section in the two-dimensional sedimentary microfacies model of the outcrop carbonate rock reservoir to obtain a two-dimensional outcrop geological model corresponding to the outcrop carbonate rock reservoir.

Further, the three-dimensional digital scanning and labeling processing is performed on the outcrop carbonate rock reservoir to obtain a corresponding three-dimensional image, and the three-dimensional image comprises the following steps:

performing three-dimensional digital scanning on the outcrop carbonate rock reservoir to obtain a three-dimensional point cloud image corresponding to the outcrop carbonate rock reservoir;

and carrying out stratum tracking and labeling processing on the three-dimensional point cloud image according to the two-dimensional outcrop geological model to obtain a corresponding three-dimensional image.

Further, the three-dimensional digital scanning is performed on the outcrop carbonate reservoir to obtain a three-dimensional point cloud image corresponding to the outcrop carbonate reservoir, and the three-dimensional point cloud image comprises:

collecting spatial orientation data of the outcrop carbonate reservoir by using a laser radar surveying and mapping instrument;

and editing the space azimuth data through data processing software to form a three-dimensional point cloud image of the outcrop carbonate reservoir.

Further, the stratum tracking and labeling processing is carried out on the three-dimensional point cloud image according to the two-dimensional outcrop geological model, and a corresponding three-dimensional image is obtained, and the method comprises the following steps:

collecting a panoramic photo of the outcrop carbonate reservoir by using image collection equipment;

and carrying out stratum tracking and interpretation processing on the three-dimensional point cloud image according to the panoramic picture and the two-dimensional outcrop geological model, and calibrating a sampling point position on the three-dimensional point cloud image to obtain the three-dimensional image.

Further, the obtaining of the three-dimensional sedimentary microfacies model corresponding to each stratigraphic unit according to the three-dimensional image and lithofacies information in the actually measured section of the outcrop carbonate rock reservoir includes:

and loading the information corresponding to the three-dimensional image into a three-dimensional geological modeling tool, and respectively carrying out three-dimensional quantitative random modeling on each stratigraphic unit by taking the lithofacies information in the actually measured section of the outcrop carbonate rock reservoir as constraint to obtain a three-dimensional sedimentary microfacies model corresponding to each stratigraphic unit.

In a second aspect, the present application provides a subsurface reservoir prediction device based on outcrop carbonate reservoir modeling, comprising:

the three-dimensional digital outcrop acquisition module is used for acquiring a two-dimensional outcrop geological model corresponding to an outcrop carbonate rock reservoir, and performing three-dimensional digital scanning and labeling processing on the outcrop carbonate rock reservoir to obtain a corresponding three-dimensional image, wherein the outcrop carbonate rock reservoir is divided into a plurality of stratum units in advance;

the three-dimensional sedimentary microfacies model building module is used for obtaining three-dimensional sedimentary microfacies models corresponding to the stratum units respectively according to the three-dimensional images and lithofacies information in the actually measured section of the outcrop carbonate rock reservoir;

and the underground reservoir prediction module is used for respectively obtaining a three-dimensional porosity model and a three-dimensional permeability model which respectively correspond to each stratum unit according to the three-dimensional sedimentary microfacies model which respectively corresponds to each stratum unit so as to predict an effective reservoir in the underground reservoir which corresponds to the outcrop carbonate rock reservoir according to the three-dimensional sedimentary microfacies model, the three-dimensional porosity model and the three-dimensional permeability model which respectively correspond to each stratum unit.

Further, the method also comprises the following steps:

the measuring line dividing module is used for dividing a plurality of measuring lines for the outcrop carbonate rock reservoir according to the actual geological condition of the outcrop carbonate rock reservoir;

the stratum unit dividing module is used for determining stratum layering of the outcrop carbonate rock reservoir and obtaining a plurality of stratum units according to the stratum layering division;

and the rock structure profile acquisition module is used for determining the facies classification in the outcrop carbonate reservoir and according to the rock structure profile corresponding to each measuring line.

Further, the three-dimensional digital outcrop acquisition module comprises:

the two-dimensional sedimentary microfacies model acquisition unit is used for acquiring a two-dimensional sedimentary microfacies model of the outcrop carbonate rock reservoir;

and the reservoir evaluation unit is used for evaluating the reservoir of each section in the two-dimensional sedimentary microfacies model to obtain a two-dimensional outcrop geological model corresponding to the outcrop carbonate rock reservoir.

Further, the two-dimensional sedimentary microphase model acquisition unit includes:

and the two-dimensional sedimentary microfacies model building subunit is used for building a two-dimensional sedimentary microfacies model of the outcrop carbonate rock reservoir according to the rock structure profile corresponding to each measuring line.

Further, the reservoir evaluation unit includes:

the physical property testing subunit is used for obtaining physical property testing results of a plurality of core samples of the outcrop carbonate rock reservoir;

and the two-dimensional outcrop geological model construction subunit is used for evaluating each section in the two-dimensional sedimentary microfacies model of the outcrop carbonate rock reservoir according to the physical property test result and the corresponding relationship among the pre-acquired porosity, permeability and lithofacies to obtain the two-dimensional outcrop geological model corresponding to the outcrop carbonate rock reservoir.

Further, the three-dimensional digital outcrop acquisition module comprises:

the three-dimensional digital scanning unit is used for carrying out three-dimensional digital scanning on the outcrop carbonate rock reservoir to obtain a three-dimensional point cloud image corresponding to the outcrop carbonate rock reservoir;

and the image processing unit is used for carrying out stratum tracking and labeling processing on the three-dimensional point cloud image according to the two-dimensional outcrop geological model to obtain a corresponding three-dimensional image.

Further, the three-dimensional digital scanning unit includes:

the spatial orientation data acquisition subunit is used for acquiring spatial orientation data of the outcrop carbonate rock reservoir by applying a laser radar surveying and mapping instrument;

and the spatial orientation data editing subunit is used for editing the spatial orientation data through data processing software to form a three-dimensional point cloud image of the outcrop carbonate rock reservoir.

Further, the image processing unit includes:

the panoramic photo acquisition subunit is used for acquiring a panoramic photo of the outcrop carbonate rock reservoir by applying image acquisition equipment;

and the image processing calibration subunit is used for carrying out stratum tracking and interpretation processing on the three-dimensional point cloud image according to the panoramic photo and the two-dimensional outcrop geological model, and calibrating the position of a sampling point on the three-dimensional point cloud image to obtain the three-dimensional image.

Further, the three-dimensional sedimentary microphase model building module comprises:

and the three-dimensional quantitative random modeling unit is used for loading the information corresponding to the three-dimensional image into a three-dimensional geological modeling tool, and respectively carrying out three-dimensional quantitative random modeling on each stratigraphic unit by taking the lithofacies information in the actually measured section of the outcrop carbonate rock reservoir as constraint so as to obtain a three-dimensional sedimentary microfacies model respectively corresponding to each stratigraphic unit.

In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor when executing the program implementing the steps of the method for subsurface reservoir prediction based on outcrop carbonate reservoir modeling.

In a fourth aspect, the present application provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method for subsurface reservoir prediction based on outcrop carbonate reservoir modeling.

According to the technical scheme, the method and the device for predicting the underground reservoir based on outcrop carbonate reservoir modeling are characterized in that a corresponding three-dimensional image is obtained by acquiring a two-dimensional outcrop geological model corresponding to the outcrop carbonate reservoir and carrying out three-dimensional digital scanning and labeling on the outcrop carbonate reservoir, wherein the outcrop carbonate reservoir is divided into a plurality of stratum units in advance; obtaining a three-dimensional sedimentary microfacies model corresponding to each stratum unit according to the three-dimensional image and lithofacies information in the actually measured section of the outcrop carbonate rock reservoir; according to the three-dimensional sedimentary microfacies model corresponding to each stratum unit, the three-dimensional porosity model and the three-dimensional permeability model corresponding to each stratum unit are obtained respectively, the effective reservoir in the underground reservoir corresponding to the outcrop carbonate rock reservoir can be predicted according to the three-dimensional sedimentary microfacies model, the three-dimensional porosity model and the three-dimensional permeability model corresponding to each stratum unit, the three-dimensional geological model for the outcrop carbonate rock reservoir can be accurately and quickly established, the prediction accuracy and reliability of the effectiveness of the underground reservoir under the oil reservoir scale standard can be effectively improved, the accuracy of oil exploration can be guaranteed according to the prediction result, and the oil exploration cost can be reduced.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a schematic flow chart of a subsurface reservoir prediction method based on outcrop carbonate reservoir modeling in an embodiment of the present application.

Fig. 2 is a schematic flow chart of steps 001 to 003 in the method for predicting a subsurface reservoir based on outcrop carbonate reservoir modeling in the embodiment of the present application.

Fig. 3 is a schematic flow chart of step 100 of the method for predicting a subsurface reservoir based on outcrop carbonate reservoir modeling according to the embodiment of the present application.

Fig. 4 is a schematic flow chart of step 100 in the method for predicting a subsurface reservoir based on outcrop carbonate reservoir modeling in the embodiment of the present application.

Fig. 5 is a logic diagram of a subsurface reservoir prediction method based on outcrop carbonate reservoir modeling in an embodiment of the present application.

Fig. 6 is a schematic diagram of the schott braker dew area schottky barrier macro features in an example of application of the present application.

FIG. 7 is a schematic diagram of a two-dimensional sedimentary microphase model of the Schott Blaker outcrop group in an example of application of the present application.

Fig. 8 is a schematic diagram of a two-dimensional reservoir geological model of a schott braker dew zone schottky group in an application example of the present application.

Fig. 9 is a schematic diagram of a three-dimensional digital outcrop of the schott braker group in a schott braker outcrop area in an example of application of the present application.

Fig. 10 is an exemplary diagram of a lithofacies model slice (2 top in shore) in an example of an application of the present application.

FIG. 11 is a schematic diagram of an example of a lithofacies model slice (Xiaoshang 2 base) in an example of an application of the present application.

FIG. 12 is a schematic diagram illustrating an example of a three-dimensional porosity model in an application example of the present application.

FIG. 13 is a schematic view of a porosity model section (2 apices in Zones) in an example of application of the present application.

FIG. 14 is a schematic view of a porosity model slice (Xiaoshang 2 base) in an example of application of the present application.

FIG. 15 is a schematic diagram illustrating an example of a three-dimensional permeability model in an application example of the present application.

Fig. 16 is an exemplary illustration of a permeability model slice (2 top in shore) in an example of application of the present application.

FIG. 17 is a schematic view of a permeability model section (Xiaoshang 2 base) in an application example of the present application.

Fig. 18 is a schematic diagram of a subsurface reservoir prediction device based on outcrop carbonate reservoir modeling in an embodiment of the present application.

Fig. 19 is a schematic structural diagram of an electronic device in an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

Considering that the prior art is limited by the number and quality of wells and seismic data and the current situation that the current reservoir scale outcrop reservoir geological modeling is in a two-dimensional stage, the geological statistics basis for forming the carbonate reservoir geological modeling is not clear, the reservoir modeling technology and the process are incomplete and the like, and the establishment of the reservoir scale three-dimensional outcrop carbonate reservoir geological model is restricted, so that the problem that the model meeting the reservoir scale standard and meeting the geological reality is difficult to establish at present and the prediction of the effectiveness of the underground reservoir under the reservoir scale standard cannot be realized is solved; obtaining three-dimensional sedimentary microfacies models respectively corresponding to the stratum units according to the three-dimensional images and lithofacies information in the actually measured section of the outcrop carbonate rock reservoir; according to the three-dimensional sedimentary microfacies model corresponding to each stratum unit, the three-dimensional porosity model and the three-dimensional permeability model corresponding to each stratum unit are obtained respectively, the effective reservoir in the underground reservoir corresponding to the outcrop carbonate rock reservoir can be predicted according to the three-dimensional sedimentary microfacies model, the three-dimensional porosity model and the three-dimensional permeability model corresponding to each stratum unit, the three-dimensional geological model for the outcrop carbonate rock reservoir can be accurately and quickly established, the prediction accuracy and reliability of the effectiveness of the underground reservoir under the oil reservoir scale standard can be effectively improved, the accuracy of oil exploration can be guaranteed according to the prediction result, and the oil exploration cost can be reduced.

In an embodiment of the method for predicting an underground reservoir based on outcrop carbonate reservoir modeling, where an execution subject may be an underground reservoir prediction device based on outcrop carbonate reservoir modeling, a processor, a server, or a user terminal device, referring to fig. 1, the method for predicting an underground reservoir based on outcrop carbonate reservoir modeling specifically includes the following contents:

step 100: the method comprises the steps of obtaining a two-dimensional outcrop geological model corresponding to an outcrop carbonate rock reservoir, carrying out three-dimensional digital scanning and labeling processing on the outcrop carbonate rock reservoir, and obtaining a corresponding three-dimensional image, wherein the outcrop carbonate rock reservoir is divided into a plurality of stratum units in advance.

It is understood that the outcrop carbonate reservoir refers to a carbonate reservoir in which there is an outcrop area exposed above the surface. The storage space of the carbonate reservoir is generally divided into three types of primary pores, karst caves and fractures, and compared with the sandstone reservoir, the storage space of the carbonate reservoir has multiple types, large secondary variation and larger complexity and diversity.

The three-dimensional digital scanning can convert the three-dimensional information of the real object into a digital signal which can be directly processed by a computer, and provides a quite convenient and fast means for digitalizing the real object. The three-dimensional digital scanning technology can realize non-contact measurement and has the advantages of high speed and high precision. And the measurement result can be directly interfaced with various software, so that the method is increasingly popularized in the technical application of CAD, CAM, CIMS and the like.

The marking processing refers to marking the position of a collecting point on a collecting image corresponding to the outcrop carbonate reservoir.

In addition, the three-dimensional image is a three-dimensional point cloud image of an outcrop area of the carbonate reservoir with a collection point position mark, wherein the three-dimensional point cloud image can be obtained by performing three-dimensional digital scanning on a section of the outcrop carbonate reservoir by applying an ILRIS-3D type laser radar, and outputting the outcrop carbonate reservoir after data processing.

Step 200: and obtaining a three-dimensional sedimentary microfacies model corresponding to each stratum unit according to the three-dimensional image and lithofacies information in the actually measured section of the outcrop carbonate rock reservoir.

In a specific example, the lithofacies information may include lithofacies classifications.

Step 300: and respectively obtaining a three-dimensional porosity model and a three-dimensional permeability model corresponding to each stratum unit according to the three-dimensional sedimentary microfacies model corresponding to each stratum unit, so as to predict the effective reservoir in the underground reservoir corresponding to the outcrop carbonate rock reservoir according to the three-dimensional sedimentary microfacies model, the three-dimensional porosity model and the three-dimensional permeability model corresponding to each stratum unit.

From the above description, the underground reservoir prediction method based on outcrop carbonate reservoir modeling provided by the embodiment of the application can accurately and quickly establish the three-dimensional geological model for the outcrop carbonate reservoir, can effectively improve the prediction accuracy and reliability of the effectiveness of the underground reservoir under the oil reservoir scale standard, further can ensure the accuracy of oil exploration according to the prediction result, and can reduce the oil exploration cost.

In an embodiment of the method for predicting a subsurface reservoir based on outcrop carbonate reservoir modeling, referring to fig. 2, before step 100 in the method for predicting a subsurface reservoir based on outcrop carbonate reservoir modeling, the following contents are further specifically included:

step 001: and dividing a plurality of measuring lines for the outcrop carbonate rock reservoir according to the actual geological condition of the outcrop carbonate rock reservoir.

Step 002: and determining stratum layering of the outcrop carbonate reservoir, and obtaining a plurality of stratum units according to the stratum layering division.

Step 003: and determining the lithofacies classification in the outcrop carbonate reservoir, and according to the rock structure profile corresponding to each measuring line.

Specifically, the previous work before step 100 in the method for predicting a subsurface reservoir based on outcrop carbonate reservoir modeling may include the following:

(1) Regional geological survey technology: screening outcrop modeling profiles (the suggested modeling profiles are perpendicular to a facies zone, the spreading width is larger than 2km, more than 3 profiles are actually measured), and researching reservoir spreading rules in a sequence grillwork.

(2) The actual measurement technology of the outcrop section comprises the following steps: and preferably selecting more than three sections in the outcrop area of a reservoir scale, and carrying out stratigraphic layering and thickness measurement by taking lithofacies as units.

(3) And (3) a macro and micro combined lithofacies identification technology: determining lithofacies and sedimentary microfacies types and change rules in the vertical direction, and establishing lithofacies combination types, phase sequences and sea level lifting relations.

(4) Outcrop facies transverse phase tracking technology: and (4) determining the lithofacies contrast relation, phase change and spatial distribution among the actually measured sections.

(5) Reservoir evaluation technology with lithofacies as units: evaluating the physical property of the reservoir, evaluating the pore throat structure of the reservoir, establishing the relation between rock phase and the physical property of the reservoir, and determining the reservoir development master control factors.

In an embodiment of the method for predicting a subsurface reservoir based on outcrop carbonate reservoir modeling of the present application, referring to fig. 3, step 100 of the method for predicting a subsurface reservoir based on outcrop carbonate reservoir modeling specifically includes the following contents:

step 101: and acquiring a two-dimensional sedimentary microfacies model of the outcrop carbonate rock reservoir.

In step 101, the underground reservoir prediction device based on outcrop carbonate reservoir modeling establishes a two-dimensional sedimentary microfacies model of the outcrop carbonate reservoir according to the rock structure profile corresponding to each measuring line.

Step 102: and evaluating the reservoir of each section in the two-dimensional sedimentary microfacies model to obtain a two-dimensional outcrop geological model corresponding to the outcrop carbonate rock reservoir.

In step 102, the underground reservoir prediction device based on outcrop carbonate reservoir modeling obtains physical property test results of a plurality of core samples of the outcrop carbonate reservoir; and according to the physical property test result and the corresponding relation among the porosity, the permeability and the lithofacies which are obtained in advance, performing reservoir evaluation on each section in the two-dimensional sedimentary microfacies model of the outcrop carbonate rock reservoir to obtain a two-dimensional outcrop geological model corresponding to the outcrop carbonate rock reservoir.

In the embodiment of the method for predicting a subsurface reservoir based on outcrop carbonate reservoir modeling, referring to fig. 4, the step 100 of the method for predicting a subsurface reservoir based on outcrop carbonate reservoir modeling further includes the following steps:

step 103: and carrying out three-dimensional digital scanning on the outcrop carbonate reservoir to obtain a three-dimensional point cloud image corresponding to the outcrop carbonate reservoir.

In step 103, the underground reservoir prediction device based on outcrop carbonate reservoir modeling controls a laser radar surveying instrument to collect spatial orientation data of the outcrop carbonate reservoir; and editing the space orientation data through data processing software to form a three-dimensional point cloud image of the outcrop carbonate reservoir.

In a specific example, the lidar surveying instrument may specifically be a lidar of the ILRIS-3D type.

Step 104: and carrying out stratum tracking and labeling processing on the three-dimensional point cloud image according to the two-dimensional outcrop geological model to obtain a corresponding three-dimensional image.

In step 104, the underground reservoir prediction device based on outcrop carbonate reservoir modeling controls an image acquisition device to acquire a panoramic photo of the outcrop carbonate reservoir; and carrying out stratum tracking and interpretation processing on the three-dimensional point cloud image according to the panoramic picture and the two-dimensional outcrop geological model, and calibrating a sampling point position on the three-dimensional point cloud image to obtain the three-dimensional image.

In a specific example, the image capturing device may be a GigaPan camera, which is the highest-pixel camera in the world, and has pixels as large as 10 hundred million or more, and the size of the shot picture exceeds 1GB.

In the embodiment of the method for predicting an underground reservoir based on outcrop carbonate reservoir modeling, the step 200 of the method for predicting an underground reservoir based on outcrop carbonate reservoir modeling specifically includes the following steps:

step 201: and loading the information corresponding to the three-dimensional image into a three-dimensional geological modeling tool, and respectively carrying out three-dimensional quantitative random modeling on each stratigraphic unit by taking the lithofacies information in the actually measured section of the outcrop carbonate rock reservoir as constraint to obtain a three-dimensional sedimentary microfacies model corresponding to each stratigraphic unit.

In a specific example, the three-dimensional geological modeling tool may be Petrel software, where Petrel is a product developed by Schlumberger, and an exploration and development integrated platform with a three-dimensional geological model as a center belongs to geophysical professional software.

Based on the above contents, the method for predicting the underground reservoir based on outcrop carbonate reservoir modeling provided by the application is an integration of a series of technologies, is suitable for outcrop geological modeling of all phase-control carbonate reservoirs, and specifically includes the following contents, referring to fig. 5:

1. points out the statistical basis of the geological modeling of the phase control type carbonate reservoir

(1) Contact relation, development scale, morphological characteristics, distribution range and phase sequence existence regularity change in the vertical direction of different lithofacies types under different deposition backgrounds meet Wilson phase law;

(2) Facies bands are closely related to lithofacies developmental characteristics, reservoir origin and distribution.

2. Establishes a reservoir scale three-dimensional outcrop carbonate reservoir geological modeling technology series

(1) Regional geological survey technology: screening outcrop modeling profiles (suggesting that the modeling profiles are vertical to a facies zone, the spreading width is more than 2km, actually measuring more than 3 profiles), and researching reservoir spreading rules in a sequence grillwork;

(2) Outcrop section actual measurement technology: preferably selecting more than three sections in an outcrop area of an oil reservoir scale, and carrying out stratigraphic layering and thickness measurement by taking lithofacies as units;

(3) And (3) a macro and micro combined lithofacies identification technology: determining lithofacies and sedimentary microfacies types and change rules in the vertical direction, and establishing lithofacies combination types, phase sequences and a sea level lifting relation;

(4) Outcrop facies transverse phase tracking technology: determining the contrast relation, phase change and spatial distribution of lithofacies between the actually measured sections;

(5) Reservoir evaluation technology with lithofacies as a unit: evaluating reservoir physical properties and a reservoir pore throat structure, establishing a relation between rock phases and reservoir physical properties, and determining reservoir development master control factors;

(6) Outcrop section two-dimensional reservoir geological modeling technology: establishing a two-dimensional reservoir stratum geological model, representing the heterogeneity of a reservoir stratum on a two-dimensional section, evaluating the reservoir stratum, and researching reservoir stratum heterogeneity main control factors and change rules;

(7) The three-dimensional digital outcrop construction technology comprises the following steps: collecting spatial orientation data of the outcrop section by using surveying and mapping instruments such as Lidar (laser radar) and the like, and collecting a high-resolution panoramic picture of the outcrop section by using a GigaPan (intelligent holder); editing spatial azimuth data by using cloud data processing software such as Polyworks to form a three-dimensional point cloud image of a outcrop section, simultaneously carrying out stratum tracking and interpretation on the three-dimensional point cloud image by combining a high-resolution panoramic picture, and calibrating the position of a sampling point, thereby constructing and completing a three-dimensional digital outcrop and providing a data body for a coverage area through an interpolation method rock phase identification and reservoir three-dimensional construction;

(8) Reservoir three-dimensional construction technology: according to the modeling thought of the phased reservoir, modeling software such as Petrel is applied to construct a three-dimensional lithofacies model of the reservoir based on three-dimensional digital outcrop, and then a reservoir porosity model and a permeability model under lithofacies control are constructed.

3. Result map for defining reservoir scale three-dimensional outcrop carbonate reservoir geological modeling

(1) A reservoir depositional pattern map based on regional geological survey;

(2) A plurality of reservoir evaluation graphs corresponding to the stratum measured section (including the contents of facies sequence and combination type, sedimentary facies type, sequence, porosity, permeability data and the like which take lithofacies as units);

(3) A two-dimensional reservoir geological model of an outcrop section (disclosing the distribution rule of a reservoir and a barrier layer on a two-dimensional section);

(4) Three-dimensional reservoir geological models (three-dimensional depositional microfacies model, three-dimensional porosity model, and three-dimensional permeability model).

4. Reservoir scale three-dimensional outcrop carbonate reservoir geological modeling technology and process are integrated

The modeling section screening, outcrop section reservoir fine dissection, modeling technology series, reservoir three-dimensional geological model construction, drawing variety, specification requirements and other contents related to reservoir three-dimensional outcrop carbonate reservoir geological modeling are integrated, the reservoir three-dimensional outcrop carbonate reservoir geological modeling technology and the process are constructed, and a means is provided for understanding the heterogeneity of underground similar reservoirs, high-quality reservoirs and three-dimensional spatial distribution geological models of barriers.

From the above contents, the underground reservoir prediction method based on outcrop carbonate reservoir modeling provided by the embodiment of the application defines a statistical basis for forming phase control type carbonate reservoir geological modeling, and advances reservoir scale two-dimensional outcrop carbonate reservoir geological modeling to a new stage of reservoir scale three-dimensional outcrop carbonate reservoir geological modeling. The reservoir scale three-dimensional outcrop carbonate rock reservoir geological model constructed according to the embodiment of the application provides a basis for understanding the heterogeneity and quality of underground similar reservoirs, high-quality reservoirs and barrier layer distribution in the oil field development stage, and provides calibration for constructing the reservoir scale carbonate rock reservoir geological model which is more in line with geological reality based on limited wells and seismic data.

In order to further explain the scheme, the application also provides a specific application example of the underground reservoir prediction method based on outcrop carbonate reservoir modeling, the underground reservoir prediction method based on outcrop carbonate reservoir modeling is used for establishing a three-dimensional outcrop carbonate reservoir geological model, representing the heterogeneity of a reservoir in a three-dimensional space, evaluating the effectiveness of the reservoir, and is dedicated to solving the problem of distribution prediction of the effective reservoir and the barrier of the carbonate, so that the underground reservoir prediction method is an important means for understanding the heterogeneity of the carbonate reservoir and evaluating the reservoir, particularly an important bridge for understanding the heterogeneity and quality of an underground similar reservoir and predicting the distribution of a high-quality reservoir and the barrier. Through the fine dissection of outcrop reservoir rock types, reservoir spaces and sedimentary microfacies, a three-dimensional space distribution pattern of lithofacies is established, the correlation between lithofacies combinations and sub-facies, microfacies and physical properties (even microscopic pore throat structures) is established, the reservoir heterogeneity is represented, the main control factors and the distribution rules of the development of high-quality reservoirs and barriers are determined, and geological models are provided for understanding the underground similar reservoir heterogeneity and the three-dimensional space distribution of the high-quality reservoirs and the barriers, and the specific description is as follows:

take geological modeling of three-dimensional outcrop reservoir of Sugat Blacker group in Sugat Blacker outing area of Acksu area of Tarim basin as an example.

(1) Selection and measurement of study profile: according to the actual geological conditions, 4 measuring lines are actually measured in the range of nearly 1km of the outcrop area by combining the transverse and longitudinal distribution rules of the reef flat, and the reference is made to the figure 6. Through the fine measurement, description and transverse tracking analysis of the section of the schlaguert braker, the schlaguer group is divided into 35 layers with the thickness of 144.5m, and is divided into an upper section, a middle section and a lower section according to whether the reef flat is developed or not.

And, identifying 8 lithofacies in total according to the macro description and the micro identification.

(2) And (3) establishing a rock structure profile by macro and micro combination: according to the macro outcrop description and the micro slice identification, 8 lithofacies are identified, 4 line-measuring rock structure sections are established, sequence stratum analysis is carried out, and the Xiaoerbulack group is determined to be a complete three-level sequence.

(3) Establishing a two-dimensional outcrop geological model: synthesizing lithofacies profiles of 4 measuring lines and transverse tracking comparative analysis to establish a sedimentary microfacies model, and referring to fig. 7; and (3) carrying out physical property test on the collected 148 plunger samples, analyzing the correlation among porosity, permeability and lithofacies, further carrying out reservoir evaluation on each section, and establishing a reservoir geological model, which is shown in figure 8.

Specifically, the specific way of establishing the two-dimensional outcrop geological model is as follows:

3-1) according to the actual exposure situation, preferably selecting a plurality of sections for actual measurement (more than 3), collecting typical samples, and layering and segmenting;

3-2) establishing a rock structure section of each section according to macroscopic outcrop feature description and microscopic slice lithofacies identification, and simultaneously performing high-frequency sequence division;

3-3) carrying out multi-section comparison in a sequence grid, and simultaneously establishing a two-dimensional sedimentary microfacies (lithofacies) model by combining sedimentary modes to obtain the distribution rules of different sedimentary microfacies (lithofacies) in the vertical direction and the lateral direction;

and 3-4) carrying out correlation analysis on the lithofacies, actually measured porosity and permeability data of each sample, further carrying out reservoir evaluation on each section, then carrying out multi-section reservoir comparative analysis, establishing a two-dimensional reservoir geological model, and obtaining the distribution rule of the reservoir in the vertical direction and the lateral direction.

The homogeneity, main control factors and distribution rules of the reservoir can be analyzed by integrating a two-dimensional sedimentary microfacies (lithofacies) model and a two-dimensional reservoir geological model.

(4) Establishing a digital outcrop: the method comprises the steps of utilizing an ILRIS-3D type laser radar to carry out three-dimensional digital scanning on a section, outputting an outcrop three-dimensional point cloud image through data processing, wherein the resolution ratio of the outcrop three-dimensional point cloud image is 2cm, then carrying out stratum tracking and explanation in the outcrop three-dimensional point cloud image according to two-dimensional outcrop geological model information, marking sampling positions, special deposition and construction phenomena, and completing three-dimensional digital outcrop construction, and referring to fig. 9.

(5) Establishing a three-dimensional outcrop geological model: loading the information of the digital outcrop in Petrel, respectively carrying out three-dimensional quantitative random modeling on each stratigraphic unit by taking lithofacies information in an actually measured profile (virtual well) as constraint according to the thinking of a phase-controlled reservoir, establishing a three-dimensional sedimentary microfacies model, then carrying out porosity and permeability simulation in each facies unit, and establishing a porosity model and a permeability model, which are shown in figures 10 to 17.

(6) Establishing a three-dimensional lithofacies model, a three-dimensional porosity model and a three-dimensional permeability model by the method in the steps (1) to (5), and predicting an effective reservoir in an underground reservoir corresponding to the outcrop carbonate reservoir according to the three-dimensional sedimentary microfacies model, the three-dimensional porosity model and the three-dimensional permeability model corresponding to each stratigraphic unit, wherein the method specifically comprises the following steps:

6-1) the three-dimensional lithofacies model finely describes the spreading characteristics of 8 lithofacies such as Shore Blaker lamellar grains, clump stones, laminated stones, algae sand debris dolomite and the like in the transverse direction and the change rule in the vertical direction, and the whole model can be divided into 3 sections: the lower section mainly develops mud-powder crystal dolomite, and the thickness is larger; the lower part of the middle section mainly comprises clotted dolostone and striated dolostone which are in interbedded development and develop algae grilled dolostone with a build-up structure, and the upper part of the middle section mainly develops layered algae sand crumbs dolostone and laminated dolostone; the upper section mainly develops a thin layer of mud powder crystal dolomite sandwiched with bonded sand crumbs dolomite. Obviously, the three-dimensional model reflects that the Xiaoerbulake group integrally has the deposition characteristic of a small reef big beach, and the microbial reef beach mainly develops in the middle section.

6-2) the three-dimensional porosity model describes the relationship between different rock phases and the porosity and the homogeneity thereof: the algae framework dolomite, algae sand crumbs dolomite and laminated stone dolomite with the building-up characteristics in the middle section have the highest porosity and better homogeneity, and can be evaluated as a type I reservoir; the porosity of the tuff dolomite and the bonding algae debris dolomite is inferior, and the tuff dolomite and the bonding algae debris dolomite have certain heterogeneity on a plane and can be comprehensively evaluated into a II-type reservoir stratum; the middle section of the lamellar dolomite and the upper and lower sections of the mud powder crystal dolomite have low porosity integrally, and are comprehensively evaluated as non-reservoir layers.

6-3) the three-dimensional permeability model describes the relationship between different rock phases and permeability and the homogeneity thereof: overall, the schulbrak dolomite has a relatively low permeability, but the algae framework dolomite, the algae sand crumbs dolomite and the laminated stone dolomite have a relatively high permeability and still have a certain permeability, and the laminated stone dolomite is the most compact.

By integrating the three-dimensional outcrop reservoir geological model, the reef facies reservoir with high porosity to medium and low permeability in the whole development of the Taiwan basin underground Hanwu Shoulbrak group can be judged, the algae sand chip beach, the laminated rock beach, the algae lattice reef and the clot rock beach of the wing parts thereof in the middle are favorable reservoir facies, the lamellar rock dolomite can form a compact barrier layer, the effective reservoir thickness is 45m, and the reef facies control, the gyrus and the scale are realized. Therefore, according to the three-dimensional outcrop model, the reef center needs to be arranged in the vertical well as much as possible, and the sand and debris beach zone at the upper part of the middle section needs to be communicated as much as possible in the horizontal well, so that the striation stone barrier layer is avoided.

In an embodiment of the apparatus for predicting a subsurface reservoir based on outcrop carbonate rock reservoir modeling, which is used for implementing all or part of the method for predicting a subsurface reservoir based on outcrop carbonate rock reservoir modeling, referring to fig. 18, the apparatus for predicting a subsurface reservoir based on outcrop carbonate rock reservoir modeling specifically includes the following contents:

the three-dimensional digital outcrop acquisition module 10 is configured to acquire a two-dimensional outcrop geological model corresponding to an outcrop carbonate reservoir, and perform three-dimensional digital scanning and labeling processing on the outcrop carbonate reservoir to obtain a corresponding three-dimensional image, where the outcrop carbonate reservoir is pre-divided into multiple stratum units;

the three-dimensional sedimentary microfacies model building module 20 is used for obtaining a three-dimensional sedimentary microfacies model corresponding to each stratigraphic unit according to the three-dimensional image and lithofacies information in the actually measured section of the outcrop carbonate rock reservoir;

and the underground reservoir prediction module 30 is configured to obtain a three-dimensional porosity model and a three-dimensional permeability model corresponding to each stratigraphic unit according to the three-dimensional sedimentary microfacies model corresponding to each stratigraphic unit, and predict an effective reservoir in the underground reservoir corresponding to the outcrop carbonate reservoir according to the three-dimensional sedimentary microfacies model, the three-dimensional porosity model and the three-dimensional permeability model corresponding to each stratigraphic unit.

In an embodiment of the apparatus for predicting a subsurface reservoir based on outcrop carbonate reservoir modeling of the present application, the apparatus for predicting a subsurface reservoir based on outcrop carbonate reservoir modeling further includes:

the measuring line dividing module 01 is used for dividing a plurality of measuring lines for the outcrop carbonate rock reservoir according to the actual geological condition of the outcrop carbonate rock reservoir;

the stratum unit dividing module 02 is used for determining the stratum layering of the outcrop carbonate rock reservoir and obtaining a plurality of stratum units according to the stratum layering;

and the rock structure profile acquisition module 03 is used for determining the facies classification in the outcrop carbonate reservoir and according to the rock structure profile corresponding to each measuring line.

In the embodiment of the present application, in the underground reservoir prediction apparatus based on outcrop carbonate reservoir modeling, the three-dimensional digital outcrop acquisition module 10 in the underground reservoir prediction apparatus based on outcrop carbonate reservoir modeling specifically includes the following contents:

and the two-dimensional sedimentary microfacies model obtaining unit 11 is used for obtaining the two-dimensional sedimentary microfacies model of the outcrop carbonate rock reservoir.

The two-dimensional sedimentary microfacies model obtaining unit 11 specifically includes: and the two-dimensional sedimentary microfacies model building subunit is used for building a two-dimensional sedimentary microfacies model of the outcrop carbonate rock reservoir according to the rock structure profile corresponding to each measuring line.

And the reservoir evaluation unit 12 is configured to perform reservoir evaluation on each section in the two-dimensional sedimentary microfacies model to obtain a two-dimensional outcrop geological model corresponding to the outcrop carbonate reservoir.

The reservoir evaluation unit 12 specifically includes:

(1) And the physical property testing subunit is used for obtaining physical property testing results of a plurality of core samples of the outcrop carbonate reservoir.

(2) And the two-dimensional outcrop geological model construction subunit is used for evaluating each section in the two-dimensional sedimentary microfacies model of the outcrop carbonate rock reservoir according to the physical property test result and the pre-acquired corresponding relationship among the porosity, the permeability and the lithofacies to obtain the two-dimensional outcrop geological model corresponding to the outcrop carbonate rock reservoir.

In the embodiment of the underground reservoir prediction apparatus based on outcrop carbonate reservoir modeling of the present application, the three-dimensional digital outcrop acquisition module 10 in the underground reservoir prediction apparatus based on outcrop carbonate reservoir modeling further specifically includes the following contents:

and the three-dimensional digital scanning unit 13 is used for performing three-dimensional digital scanning on the outcrop carbonate rock reservoir to obtain a three-dimensional point cloud image corresponding to the outcrop carbonate rock reservoir.

The three-dimensional digital scanning unit 13 specifically includes:

(1) The spatial orientation data acquisition subunit is used for acquiring spatial orientation data of the outcrop carbonate rock reservoir by applying a laser radar surveying and mapping instrument;

(2) And the spatial orientation data editing subunit is used for editing the spatial orientation data through data processing software to form a three-dimensional point cloud image of the outcrop carbonate rock reservoir.

And the image processing unit 14 is configured to perform stratum tracking and labeling processing on the three-dimensional point cloud image according to the two-dimensional outcrop geological model to obtain a corresponding three-dimensional image.

The image processing unit 14 specifically includes:

(1) And the panoramic photo acquisition subunit is used for acquiring the panoramic photo of the outcrop carbonate rock reservoir by applying image acquisition equipment.

(2) And the image processing calibration subunit is used for carrying out stratum tracking and interpretation processing on the three-dimensional point cloud image according to the panoramic photo and the two-dimensional outcrop geological model, and calibrating the position of a sampling point on the three-dimensional point cloud image to obtain the three-dimensional image.

In the embodiment of the present application, in the underground reservoir prediction apparatus based on outcrop carbonate reservoir modeling, the three-dimensional sedimentary microfacies model building module 20 in the underground reservoir prediction apparatus based on outcrop carbonate reservoir modeling specifically includes the following contents:

and the three-dimensional quantitative random modeling unit 21 is used for loading the information corresponding to the three-dimensional image into a three-dimensional geological modeling tool, and respectively performing three-dimensional quantitative random modeling on each stratigraphic unit by taking lithofacies information in the actually measured section of the outcrop carbonate rock reservoir as constraint to obtain a three-dimensional sedimentary microfacies model corresponding to each stratigraphic unit.

The embodiment of the present application further provides a specific implementation manner of an electronic device capable of implementing all steps in the method for predicting a subsurface reservoir based on outcrop carbonate reservoir modeling in the foregoing embodiment, and referring to fig. 19, the electronic device specifically includes the following contents:

a processor (processor) 601, a memory (memory) 602, a communication Interface (Communications Interface) 603, and a bus 604;

the processor 601, the memory 602 and the communication interface 603 complete mutual communication through the bus 604; the communication interface 603 is used for realizing information transmission among a subsurface reservoir prediction device based on outcrop carbonate reservoir modeling, a client terminal, a related database, a server and other participating mechanisms;

the processor 601 is configured to call a computer program in the memory 602, and the processor executes the computer program to implement all the steps of the method for predicting a subsurface reservoir based on outcrop carbonate reservoir modeling in the above embodiment, for example, the processor executes the computer program to implement the following steps:

Step 300: and respectively obtaining a three-dimensional porosity model and a three-dimensional permeability model corresponding to each stratigraphic unit according to the three-dimensional sedimentary microfacies model corresponding to each stratigraphic unit, so as to predict an effective reservoir in the underground reservoir corresponding to the outcrop carbonate reservoir according to the three-dimensional sedimentary microfacies model, the three-dimensional porosity model and the three-dimensional permeability model corresponding to each stratigraphic unit.

From the above description, the electronic device provided by the embodiment of the application can accurately and quickly establish the three-dimensional geological model for the outcrop carbonate reservoir, and can effectively improve the prediction accuracy and reliability of the effectiveness of the underground reservoir under the oil reservoir scale standard, so that the accuracy of oil exploration can be ensured according to the prediction result, and the oil exploration cost can be reduced.

Embodiments of the present application also provide a computer readable storage medium capable of implementing all steps of the method for predicting a subsurface reservoir based on outcrop carbonate reservoir modeling in the above embodiments, where the computer readable storage medium stores thereon a computer program that, when executed by a processor, implements all steps of the method for predicting a subsurface reservoir based on outcrop carbonate reservoir modeling in the above embodiments, for example, the processor implements the following steps when executing the computer program:

From the above description, it can be known that the computer-readable storage medium provided in the embodiment of the present application can accurately and quickly establish a three-dimensional geological model for an outcrop carbonate reservoir, and can effectively improve prediction accuracy and reliability of effectiveness of an underground reservoir under an oil reservoir scale standard, so that accuracy of oil exploration can be ensured according to a prediction result, and oil exploration cost can be reduced.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class embodiment, since it is substantially similar to the method embodiment, the description is simple, and reference may be made to part of the description of the method embodiment for relevant points.

The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.

Although the present application provides method steps as described in an embodiment or flowchart, additional or fewer steps may be included based on routine or non-inventive labor. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an actual apparatus or client product executes, it may execute sequentially or in parallel (e.g., in the context of parallel processors or multi-threaded processing) according to the embodiments or methods shown in the figures.

The systems, apparatuses, modules or units described in the above embodiments may be specifically implemented by a computer chip or an entity, or implemented by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a vehicle human interaction device, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.

The embodiments of this specification may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The described embodiments may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In the description of the specification, reference to the description of "one embodiment," "some embodiments," "an example," "a specific example," or "some examples" or the like means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the embodiments of the specification. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.

The above description is only an example of the present specification, and is not intended to limit the present specification. Various modifications and variations to the embodiments described herein will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present specification should be included in the scope of the claims of the embodiments of the present specification.

Claims

1. A subsurface reservoir prediction method based on outcrop carbonate reservoir modeling is characterized by comprising the following steps:

the method comprises the steps of obtaining a two-dimensional outcrop geological model corresponding to an outcrop carbonate reservoir, and carrying out three-dimensional digital scanning and labeling processing on the outcrop carbonate reservoir to obtain a corresponding three-dimensional image, wherein the outcrop carbonate reservoir is divided into a plurality of stratum units in advance;

obtaining three-dimensional sedimentary microfacies models respectively corresponding to the stratum units according to the three-dimensional images and lithofacies information in the actually measured section of the outcrop carbonate rock reservoir;

respectively obtaining a three-dimensional porosity model and a three-dimensional permeability model corresponding to each stratigraphic unit according to the three-dimensional sedimentary microfacies model corresponding to each stratigraphic unit, and predicting an effective reservoir in an underground reservoir corresponding to the outcrop carbonate reservoir according to the three-dimensional sedimentary microfacies model, the three-dimensional porosity model and the three-dimensional permeability model corresponding to each stratigraphic unit;

wherein, before obtaining the two-dimensional outcrop geological model that outcrop carbonate rock reservoir corresponds, still include:

determining lithofacies classification in the outcrop carbonate rock reservoir, and according to the rock structure profile corresponding to each measuring line;

wherein, obtain the two-dimentional outcrop geological model that outcrop carbonate rock reservoir corresponds, include:

performing reservoir evaluation on each section in the two-dimensional sedimentary microfacies model to obtain a two-dimensional outcrop geological model corresponding to the outcrop carbonate reservoir;

the method comprises the following steps of performing three-dimensional digital scanning and labeling processing on the outcrop carbonate rock reservoir to obtain a corresponding three-dimensional image, wherein the three-dimensional image comprises the following steps:

performing three-dimensional digital scanning on the outcrop carbonate reservoir to obtain a three-dimensional point cloud image corresponding to the outcrop carbonate reservoir;

2. A subterranean reservoir prediction method according to claim 1, wherein said obtaining a two-dimensional depositional microfacies model of said outcrop carbonate reservoir comprises:

and establishing a two-dimensional sedimentary microfacies model of the outcrop carbonate rock reservoir according to the rock structure section corresponding to each measuring line.

3. A method for predicting a subterranean reservoir according to claim 1, wherein the performing reservoir evaluation on each section in the two-dimensional sedimentary microfacies model to obtain a two-dimensional outcrop geological model corresponding to the outcrop carbonate reservoir comprises:

4. A method for predicting a subsurface reservoir as claimed in claim 1, wherein said performing a three-dimensional digital scan on the outcrop carbonate reservoir to obtain a three-dimensional point cloud image corresponding to the outcrop carbonate reservoir comprises:

5. A method as claimed in claim 1, wherein said performing formation tracking and labeling on the three-dimensional point cloud image according to the two-dimensional outcrop geological model to obtain a corresponding three-dimensional image comprises:

and according to the panoramic picture and the two-dimensional outcrop geological model, carrying out stratum tracking and interpretation processing on the three-dimensional point cloud image, and calibrating the position of a sampling point on the three-dimensional point cloud image to obtain the three-dimensional image.

6. A method for predicting an underground reservoir according to claim 1, wherein the obtaining of the three-dimensional depositional microfacies model corresponding to each stratigraphic unit according to the three-dimensional image and lithofacies information in the measured section of the outcrop carbonate reservoir comprises:

7. An underground reservoir prediction device based on outcrop carbonate reservoir modeling, comprising:

the three-dimensional digital outcrop acquisition module is used for acquiring a two-dimensional outcrop geological model corresponding to an outcrop carbonate reservoir, and performing three-dimensional digital scanning and labeling processing on the outcrop carbonate reservoir to obtain a corresponding three-dimensional image, wherein the outcrop carbonate reservoir is divided into a plurality of stratum units in advance;

the underground reservoir prediction module is used for respectively obtaining a three-dimensional porosity model and a three-dimensional permeability model which respectively correspond to each stratum unit according to the three-dimensional sedimentary microfacies model which respectively corresponds to each stratum unit so as to predict an effective reservoir in the underground reservoir which corresponds to the outcrop carbonate rock reservoir according to the three-dimensional sedimentary microfacies model, the three-dimensional porosity model and the three-dimensional permeability model which respectively correspond to each stratum unit; wherein the apparatus further comprises:

the rock structure profile acquisition module is used for determining facies classification in the outcrop carbonate rock reservoir and according to the rock structure profile corresponding to each measuring line; wherein, the three-dimensional digital outcrop acquisition module includes:

the reservoir evaluation unit is used for evaluating the reservoir of each section in the two-dimensional sedimentary microfacies model to obtain a two-dimensional outcrop geological model corresponding to the outcrop carbonate rock reservoir;

wherein, the three-dimensional digital outcrop acquisition module includes:

8. A subterranean reservoir prediction apparatus according to claim 7, wherein the two-dimensional depositional microfacies model obtaining unit comprises:

and the two-dimensional sedimentary microfacies model building subunit is used for building a two-dimensional sedimentary microfacies model of the outcrop carbonate rock reservoir according to the rock structure section corresponding to each measuring line.

9. A subterranean reservoir prediction apparatus as claimed in claim 7, wherein the reservoir evaluation unit comprises:

10. A subterranean reservoir prediction apparatus as claimed in claim 7, wherein the three-dimensional digital scan unit comprises:

11. A subterranean reservoir prediction apparatus according to claim 7, wherein the image processing unit comprises:

12. A subterranean reservoir prediction apparatus according to claim 7, wherein the three-dimensional depositional microfacies model building module comprises:

and the three-dimensional quantitative random modeling unit is used for loading the information corresponding to the three-dimensional image into a three-dimensional geological modeling tool, respectively carrying out three-dimensional quantitative random modeling on each stratigraphic unit by taking the lithofacies information in the actually measured section of the outcrop carbonate rock reservoir as constraint, and obtaining a three-dimensional sedimentary microfacies model corresponding to each stratigraphic unit.

13. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of the method for subsurface reservoir prediction based on outcrop carbonate reservoir modeling of any of claims 1 to 6.

14. A computer-readable storage medium, having stored thereon a computer program, when being executed by a processor, for performing the steps of the method for subsurface reservoir prediction based on outcrop carbonate reservoir modeling according to any one of claims 1 to 6.